1
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Liu J, Girault JB, Nishino T, Shen MD, Kim SH, Burrows CA, Elison JT, Marrus N, Wolff JJ, Botteron KN, Estes AM, Dager SR, Hazlett HC, McKinstry RC, Schultz RT, Snyder AZ, Styner M, Zwaigenbaum L, Pruett Jr JR, Piven J, Gao W. Atypical functional connectivity between the amygdala and visual, salience regions in infants with genetic liability for autism. Cereb Cortex 2024; 34:30-39. [PMID: 38696599 PMCID: PMC11065105 DOI: 10.1093/cercor/bhae092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 02/13/2024] [Accepted: 02/20/2024] [Indexed: 05/04/2024] Open
Abstract
The amygdala undergoes a period of overgrowth in the first year of life, resulting in enlarged volume by 12 months in infants later diagnosed with ASD. The overgrowth of the amygdala may have functional consequences during infancy. We investigated whether amygdala connectivity differs in 12-month-olds at high likelihood (HL) for ASD (defined by having an older sibling with autism), compared to those at low likelihood (LL). We examined seed-based connectivity of left and right amygdalae, hypothesizing that the HL and LL groups would differ in amygdala connectivity, especially with the visual cortex, based on our prior reports demonstrating that components of visual circuitry develop atypically and are linked to genetic liability for autism. We found that HL infants exhibited weaker connectivity between the right amygdala and the left visual cortex, as well as between the left amygdala and the right anterior cingulate, with evidence that these patterns occur in distinct subgroups of the HL sample. Amygdala connectivity strength with the visual cortex was related to motor and communication abilities among HL infants. Findings indicate that aberrant functional connectivity between the amygdala and visual regions is apparent in infants with genetic liability for ASD and may have implications for early differences in adaptive behaviors.
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Affiliation(s)
- Janelle Liu
- Department of Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, 8700 Beverly Blvd., Los Angeles, CA 90048, USA
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N. Robertson Bldv., Los Angeles, CA 90048, USA
- Department of Medicine, David Geffen School of Medicine, UCLA, 10833 Le Conte Ave., Los Angeles, CA 90095, USA
| | - Jessica B Girault
- Department of Psychiatry, UNC Chapel Hill, 333 S. Columbia Street, Chapel Hill, NC, 27514, USA
- Carolina Institute for Developmental Disabilities, UNC Chapel Hill , 101 Renee Lynne Court, Carrboro, NC 27510, USA
| | - Tomoyuki Nishino
- Institute for Child Development, University of Minnesota, 51 East River Rd., Minneapolis, MN 55454, USA
| | - Mark D Shen
- Department of Psychiatry, UNC Chapel Hill, 333 S. Columbia Street, Chapel Hill, NC, 27514, USA
- Carolina Institute for Developmental Disabilities, UNC Chapel Hill , 101 Renee Lynne Court, Carrboro, NC 27510, USA
| | - Sun Hyung Kim
- Department of Psychiatry, UNC Chapel Hill, 333 S. Columbia Street, Chapel Hill, NC, 27514, USA
| | - Catherine A Burrows
- Institute for Child Development, University of Minnesota, 51 East River Rd., Minneapolis, MN 55454, USA
| | - Jed T Elison
- Institute for Child Development, University of Minnesota, 51 East River Rd., Minneapolis, MN 55454, USA
| | - Natasha Marrus
- Department of Psychiatry, Washington University School of Medicine, 660 S Euclid Ave., St. Louis, MO 63110, USA
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, 56 E River Rd., Minneapolis, MN 55455, USA
| | - Kelly N Botteron
- Department of Psychiatry, Washington University School of Medicine, 660 S Euclid Ave., St. Louis, MO 63110, USA
| | - Annette M Estes
- Department of Speech and Hearing Science, University of Washington, 1417 NE 42nd St., Seattle, WA 98105, USA
| | - Stephen R Dager
- Department of Radiology, University of Washington, 1959 NE Pacific St., Seattle, WA 98195, USA
| | - Heather C Hazlett
- Department of Psychiatry, UNC Chapel Hill, 333 S. Columbia Street, Chapel Hill, NC, 27514, USA
- Carolina Institute for Developmental Disabilities, UNC Chapel Hill , 101 Renee Lynne Court, Carrboro, NC 27510, USA
| | - Robert C McKinstry
- Department of Radiology, Washington University School of Medicine, 660 S Euclid Ave., St. Louis, MO 63110, USA
| | - Robert T Schultz
- Center for Autism Research, Children’s Hospital of Philadelphia, 2716 South St., Philadelphia, PA 19104, USA
| | - Abraham Z Snyder
- Department of Radiology, Washington University School of Medicine, 660 S Euclid Ave., St. Louis, MO 63110, USA
| | - Martin Styner
- Department of Psychiatry, UNC Chapel Hill, 333 S. Columbia Street, Chapel Hill, NC, 27514, USA
| | - Lonnie Zwaigenbaum
- Department of Pediatrics, University of Alberta, 116 St. and 85 Ave, Edmonton, Alberta, T6G 2R3, CA
| | - John R Pruett Jr
- Department of Psychiatry, Washington University School of Medicine, 660 S Euclid Ave., St. Louis, MO 63110, USA
| | - Joseph Piven
- Department of Psychiatry, UNC Chapel Hill, 333 S. Columbia Street, Chapel Hill, NC, 27514, USA
- Carolina Institute for Developmental Disabilities, UNC Chapel Hill , 101 Renee Lynne Court, Carrboro, NC 27510, USA
| | - Wei Gao
- Department of Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, 8700 Beverly Blvd., Los Angeles, CA 90048, USA
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N. Robertson Bldv., Los Angeles, CA 90048, USA
- Department of Medicine, David Geffen School of Medicine, UCLA, 10833 Le Conte Ave., Los Angeles, CA 90095, USA
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2
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Mullin LJ, Rutsohn J, Gross JL, Caravella KE, Grzadzinski RL, Weisenfeld LA, Flake L, Botteron KN, Dager SR, Estes AM, Pandey J, Schultz RT, St John T, Wolff JJ, Shen MD, Piven J, Hazlett HC, Girault JB. Differential cognitive and behavioral development from 6 to 24 months in autism and fragile X syndrome. J Neurodev Disord 2024; 16:12. [PMID: 38509470 PMCID: PMC10953146 DOI: 10.1186/s11689-024-09519-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 02/14/2024] [Indexed: 03/22/2024] Open
Abstract
BACKGROUND Specifying early developmental differences among neurodevelopmental disorders with distinct etiologies is critical to improving early identification and tailored intervention during the first years of life. Recent studies have uncovered important differences between infants with fragile X syndrome (FXS) and infants with familial history of autism spectrum disorder who go on to develop autism themselves (FH-ASD), including differences in brain development and behavior. Thus far, there have been no studies longitudinally investigating differential developmental skill profiles in FXS and FH-ASD infants. METHODS The current study contrasted longitudinal trajectories of verbal (expressive and receptive language) and nonverbal (gross and fine motor, visual reception) skills in FXS and FH-ASD infants, compared to FH infants who did not develop ASD (FH-nonASD) and typically developing controls. RESULTS Infants with FXS showed delays on a nonverbal composite compared to FH-ASD (as well as FH-nonASD and control) infants as early as 6 months of age. By 12 months an ordinal pattern of scores was established between groups on all domains tested, such that controls > FH-nonASD > FH-ASD > FXS. This pattern persisted through 24 months. Cognitive level differentially influenced developmental trajectories for FXS and FH-ASD. CONCLUSIONS Our results demonstrate detectable group differences by 6 months between FXS and FH-ASD as well as differential trajectories on each domain throughout infancy. This work further highlights an earlier onset of global cognitive delays in FXS and, conversely, a protracted period of more slowly emerging delays in FH-ASD. Divergent neural and cognitive development in infancy between FXS and FH-ASD contributes to our understanding of important distinctions in the development and behavioral phenotype of these two groups.
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Affiliation(s)
- Lindsay J Mullin
- Carolina Institute for Developmental Disabilities, the University of North Carolina at Chapel Hill, Chapel Hill, USA.
| | - Joshua Rutsohn
- Department of Biostatistics, the University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Julia L Gross
- Carolina Institute for Developmental Disabilities, the University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Kelly E Caravella
- Carolina Institute for Developmental Disabilities, the University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Rebecca L Grzadzinski
- Carolina Institute for Developmental Disabilities, the University of North Carolina at Chapel Hill, Chapel Hill, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Leigh Anne Weisenfeld
- Carolina Institute for Developmental Disabilities, the University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Lisa Flake
- Department of Psychiatry, Washington University School of Medicine, St. Louis, USA
| | - Kelly N Botteron
- Department of Psychiatry, Washington University School of Medicine, St. Louis, USA
| | - Stephen R Dager
- Department of Radiology, University of Washington, Seattle, USA
- Center On Human Development and Disability, University of Washington, Seattle, USA
| | - Annette M Estes
- Center On Human Development and Disability, University of Washington, Seattle, USA
- Department of Speech and Hearing Sciences, University of Washington, Seattle, USA
| | - Juhi Pandey
- The Children's Hospital of Philadelphia and University of Pennsylvania, Center for Autism Research, Philadelphia, USA
| | - Robert T Schultz
- The Children's Hospital of Philadelphia and University of Pennsylvania, Center for Autism Research, Philadelphia, USA
| | - Tanya St John
- Center On Human Development and Disability, University of Washington, Seattle, USA
- Department of Speech and Hearing Sciences, University of Washington, Seattle, USA
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, USA
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities, the University of North Carolina at Chapel Hill, Chapel Hill, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, USA
- Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, the University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities, the University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Jessica B Girault
- Carolina Institute for Developmental Disabilities, the University of North Carolina at Chapel Hill, Chapel Hill, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, USA
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3
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McFayden TC, Rutsohn J, Cetin G, Forsen E, Swanson MR, Meera SS, Wolff JJ, Elison JT, Shen MD, Botteron K, Dager SR, Estes A, Gerig G, McKinstry RC, Pandey J, Schultz R, St John T, Styner M, Truong Y, Zwaigenbaum L, Hazlett HC, Piven J, Girault JB. White matter development and language abilities during infancy in autism spectrum disorder. Mol Psychiatry 2024:10.1038/s41380-024-02470-3. [PMID: 38383768 DOI: 10.1038/s41380-024-02470-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 01/24/2024] [Accepted: 01/30/2024] [Indexed: 02/23/2024]
Abstract
White matter (WM) fiber tract differences are present in autism spectrum disorder (ASD) and could be important markers of behavior. One of the earliest phenotypic differences in ASD are language atypicalities. Although language has been linked to WM in typical development, no work has evaluated this association in early ASD. Participants came from the Infant Brain Imaging Study and included 321 infant siblings of children with ASD at high likelihood (HL) for developing ASD; 70 HL infants were later diagnosed with ASD (HL-ASD), and 251 HL infants were not diagnosed with ASD (HL-Neg). A control sample of 140 low likelihood infants not diagnosed with ASD (LL-Neg) were also included. Infants contributed expressive language, receptive language, and diffusion tensor imaging data at 6-, 12-, and 24 months. Mixed effects regression models were conducted to evaluate associations between WM and language trajectories. Trajectories of microstructural changes in the right arcuate fasciculus were associated with expressive language development. HL-ASD infants demonstrated a different developmental pattern compared to the HL-Neg and LL-Neg groups, wherein the HL-ASD group exhibited a positive association between WM fractional anisotropy and language whereas HL-Neg and LL-Neg groups showed weak or no association. No other fiber tracts demonstrated significant associations with language. In conclusion, results indicated arcuate fasciculus WM is linked to language in early toddlerhood for autistic toddlers, with the strongest associations emerging around 24 months. To our knowledge, this is the first study to evaluate associations between language and WM development during the pre-symptomatic period in ASD.
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Affiliation(s)
- Tyler C McFayden
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, NC, USA.
| | - Joshua Rutsohn
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gizem Cetin
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, NC, USA
| | - Elizabeth Forsen
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Meghan R Swanson
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Shoba S Meera
- Department of Speech Pathology and Audiology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, NC, USA
| | - Kelly Botteron
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Stephen R Dager
- Department of Radiology, University of Washington, Seattle, WA, USA
- Institute on Human Development and Disability, University of Washington, Seattle, WA, USA
| | - Annette Estes
- Institute on Human Development and Disability, University of Washington, Seattle, WA, USA
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA
| | - Guido Gerig
- Tandon School of Engineering, New York University, New York, NY, USA
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Juhi Pandey
- Center for Autism Research, The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, PA, USA
| | - Robert Schultz
- Center for Autism Research, The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, PA, USA
| | - Tanya St John
- Institute on Human Development and Disability, University of Washington, Seattle, WA, USA
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA
| | - Martin Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Young Truong
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, NC, USA
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, NC, USA
| | - Jessica B Girault
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, NC, USA
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4
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Burrows CA, Lasch C, Gross J, Girault JB, Rutsohn J, Wolff JJ, Swanson MR, Lee CM, Dager SR, Cornea E, Stephens R, Styner M, John TS, Pandey J, Deva M, Botteron KN, Estes AM, Hazlett HC, Pruett JR, Schultz RT, Zwaigenbaum L, Gilmore JH, Shen MD, Piven J, Elison JT. Associations between early trajectories of amygdala development and later school-age anxiety in two longitudinal samples. Dev Cogn Neurosci 2024; 65:101333. [PMID: 38154378 PMCID: PMC10792190 DOI: 10.1016/j.dcn.2023.101333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 12/18/2023] [Accepted: 12/19/2023] [Indexed: 12/30/2023] Open
Abstract
Amygdala function is implicated in the pathogenesis of autism spectrum disorder (ASD) and anxiety. We investigated associations between early trajectories of amygdala growth and anxiety and ASD outcomes at school age in two longitudinal studies: high- and low-familial likelihood for ASD, Infant Brain Imaging Study (IBIS, n = 257) and typically developing (TD) community sample, Early Brain Development Study (EBDS, n = 158). Infants underwent MRI scanning at up to 3 timepoints from neonate to 24 months. Anxiety was assessed at 6-12 years. Linear multilevel modeling tested whether amygdala volume growth was associated with anxiety symptoms at school age. In the IBIS sample, children with higher anxiety showed accelerated amygdala growth from 6 to 24 months. ASD diagnosis and ASD familial likelihood were not significant predictors. In the EBDS sample, amygdala growth from birth to 24 months was associated with anxiety. More anxious children had smaller amygdala volume and slower rates of amygdala growth. We explore reasons for the contrasting results between high-familial likelihood for ASD and TD samples, grounding results in the broader literature of variable associations between early amygdala volume and later anxiety. Results have the potential to identify mechanisms linking early amygdala growth to later anxiety in certain groups.
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Affiliation(s)
| | - Carolyn Lasch
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - Julia Gross
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Jessica B Girault
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Joshua Rutsohn
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Meghan R Swanson
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA
| | - Chimei M Lee
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Stephen R Dager
- Deptartment of Radiology, University of Washington Medical Center, Seattle, WA, USA
| | - Emil Cornea
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Rebecca Stephens
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Martin Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Tanya St John
- University of Washington Autism Center, University of Washington, Seattle, WA, USA
| | - Juhi Pandey
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Meera Deva
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Kelly N Botteron
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Annette M Estes
- University of Washington Autism Center, University of Washington, Seattle, WA, USA; Deptartment of Speech and Hearing Science, University of Washington, Seattle, WA, USA
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - John R Pruett
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Robert T Schultz
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - John H Gilmore
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Jed T Elison
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA; Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
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5
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Garic D, McKinstry RC, Rutsohn J, Slomowitz R, Wolff J, MacIntyre LC, Weisenfeld LAH, Kim SH, Pandey J, St. John T, Estes AM, Schultz RT, Hazlett HC, Dager SR, Botteron KN, Styner M, Piven J, Shen MD. Enlarged Perivascular Spaces in Infancy and Autism Diagnosis, Cerebrospinal Fluid Volume, and Later Sleep Problems. JAMA Netw Open 2023; 6:e2348341. [PMID: 38113043 PMCID: PMC10731509 DOI: 10.1001/jamanetworkopen.2023.48341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 11/03/2023] [Indexed: 12/21/2023] Open
Abstract
Importance Perivascular spaces (PVS) and cerebrospinal fluid (CSF) are essential components of the glymphatic system, regulating brain homeostasis and clearing neural waste throughout the lifespan. Enlarged PVS have been implicated in neurological disorders and sleep problems in adults, and excessive CSF volume has been reported in infants who develop autism. Enlarged PVS have not been sufficiently studied longitudinally in infancy or in relation to autism outcomes or CSF volume. Objective To examine whether enlarged PVS are more prevalent in infants who develop autism compared with controls and whether they are associated with trajectories of extra-axial CSF volume (EA-CSF) and sleep problems in later childhood. Design, Setting, and Participants This prospective, longitudinal cohort study used data from the Infant Brain Imaging Study. Magnetic resonance images were acquired at ages 6, 12, and 24 months (2007-2017), with sleep questionnaires performed between ages 7 and 12 years (starting in 2018). Data were collected at 4 sites in North Carolina, Missouri, Pennsylvania, and Washington. Data were analyzed from March 2021 through August 2022. Exposure PVS (ie, fluid-filled channels that surround blood vessels in the brain) that are enlarged (ie, visible on magnetic resonance imaging). Main Outcomes and Measures Outcomes of interest were enlarged PVS and EA-CSF volume from 6 to 24 months, autism diagnosis at 24 months, sleep problems between ages 7 and 12 years. Results A total of 311 infants (197 [63.3%] male) were included: 47 infants at high familial likelihood for autism (ie, having an older sibling with autism) who were diagnosed with autism at age 24 months, 180 high likelihood infants not diagnosed with autism, and 84 low likelihood control infants not diagnosed with autism. Sleep measures at school-age were available for 109 participants. Of infants who developed autism, 21 (44.7%) had enlarged PVS at 24 months compared with 48 infants (26.7%) in the high likelihood but no autism diagnosis group (P = .02) and 22 infants in the control group (26.2%) (P = .03). Across all groups, enlarged PVS at 24 months was associated with greater EA-CSF volume from ages 6 to 24 months (β = 4.64; 95% CI, 0.58-8.72; P = .002) and more frequent night wakings at school-age (F = 7.76; η2 = 0.08; P = .006). Conclusions and Relevance These findings suggest that enlarged PVS emerged between ages 12 and 24 months in infants who developed autism. These results add to a growing body of evidence that, along with excessive CSF volume and sleep dysfunction, the glymphatic system could be dysregulated in infants who develop autism.
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Affiliation(s)
- Dea Garic
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill
| | - Robert C. McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri
| | - Joshua Rutsohn
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill
| | | | - Jason Wolff
- Department of Educational Psychology, University of Minnesota Twin Cities College of Education and Human Development, Minneapolis
| | - Leigh C. MacIntyre
- McGill Centre for Integrative Neuroscience, Montreal Neurological Institute-Hospital, McGill University, Montreal, Canada
| | - Leigh Anne H. Weisenfeld
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill
| | - Sun Hyung Kim
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill
| | - Juhi Pandey
- Center for Autism Research, Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Tanya St. John
- Department of Speech and Hearing Science, University of Washington, Seattle
- University of Washington Autism Center, University of Washington, Seattle
| | - Annette M. Estes
- Department of Speech and Hearing Science, University of Washington, Seattle
- University of Washington Autism Center, University of Washington, Seattle
| | - Robert T. Schultz
- University of Washington Autism Center, University of Washington, Seattle
| | - Heather C. Hazlett
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill
| | - Stephen R. Dager
- Department of Radiology, University of Washington Medical Center, Seattle
| | - Kelly N. Botteron
- Department of Psychiatry, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Martin Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill
| | - Mark D. Shen
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill
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6
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Rodriguez U, Deddah T, Kim SH, Shen M, Botteron KN, Louis Collins D, Dager SR, Estes AM, Evans AC, Hazlett HC, McKinstry R, Shultz RT, Piven J, Dang Q, Styner M, Prieto JC. IcoConv : Explainable brain cortical surface analysis for ASD classification. Shape Med Imaging (2023) 2023; 14350:248-258. [PMID: 38425723 PMCID: PMC10902712 DOI: 10.1007/978-3-031-46914-5_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
In this study, we introduce a novel approach for the analysis and interpretation of 3D shapes, particularly applied in the context of neuroscientific research. Our method captures 2D perspectives from various vantage points of a 3D object. These perspectives are subsequently analyzed using 2D Convolutional Neural Networks (CNNs), uniquely modified with custom pooling mechanisms. We sought to assess the efficacy of our approach through a binary classification task involving subjects at high risk for Autism Spectrum Disorder (ASD). The task entailed differentiating between high-risk positive and high-risk negative ASD cases. To do this, we employed brain attributes like cortical thickness, surface area, and extra-axial cerebral spinal measurements. We then mapped these measurements onto the surface of a sphere and subsequently analyzed them via our bespoke method. One distinguishing feature of our method is the pooling of data from diverse views using our icosahedron convolution operator. This operator facilitates the efficient sharing of information between neighboring views. A significant contribution of our method is the generation of gradient-based explainability maps, which can be visualized on the brain surface. The insights derived from these explainability images align with prior research findings, particularly those detailing the brain regions typically impacted by ASD. Our innovative approach thereby substantiates the known understanding of this disorder while potentially unveiling novel areas of study.
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Affiliation(s)
| | | | | | - Mark Shen
- University of North Carolina, Chapel Hill, NC
| | | | | | | | | | | | | | | | | | | | - Quyen Dang
- University of North Carolina, Chapel Hill, NC
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7
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Cho S, Samuel TM, Li T, Howell BR, Baluyot K, Hazlett HC, Elison JT, Zhu H, Hauser J, Sprenger N, Lin W. Interactions between Bifidobacterium and Bacteroides and human milk oligosaccharides and their associations with infant cognition. Front Nutr 2023; 10:1216327. [PMID: 37457984 PMCID: PMC10345227 DOI: 10.3389/fnut.2023.1216327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 06/12/2023] [Indexed: 07/18/2023] Open
Abstract
While ample research on independent associations between infant cognition and gut microbiota composition and human milk (HM) oligosaccharides (HMOs) has been reported, studies on how the interactions between gut microbiota and HMOs may yield associations with cognitive development in infancy are lacking. We aimed to determine how HMOs and species of Bacteroides and Bifidobacterium genera interact with each other and their associations with cognitive development in typically developing infants. A total of 105 mother-infant dyads were included in this study. The enrolled infants [2.9-12 months old (8.09 ± 2.48)] were at least predominantly breastfed at 4 months old. A total of 170 HM samples from the mothers and fecal samples of the children were collected longitudinally. Using the Mullen Scales of Early Learning to assess cognition and the scores as the outcomes, linear mixed effects models including both the levels of eight HMOs and relative abundance of Bacteroides and Bifidobacterium species as main associations and their interactions were employed with adjusting covariates; infant sex, delivery mode, maternal education, site, and batch effects of HMOs. Additionally, regression models stratifying infants based on the A-tetrasaccharide (A-tetra) status of the HM they received were also employed to determine if the associations depend on the A-tetra status. With Bacteroides species, we observed significant associations with motor functions, while Bif. catenulatum showed a negative association with visual reception in the detectable A-tetra group both as main effect (value of p = 0.012) and in interaction with LNFP-I (value of p = 0.007). Additionally, 3-FL showed a positive association with gross motor (p = 0.027) and visual reception (p = 0.041). Furthermore, significant associations were observed with the interaction terms mainly in the undetectable A-tetra group. Specifically, we observed negative associations for Bifidobacterium species and LNT [breve (p = 0.011) and longum (p = 0.022)], and positive associations for expressive language with 3'-SL and Bif. bifidum (p = 0.01), 6'-SL and B. fragilis (p = 0.019), and LNFP-I and Bif. kashiwanohense (p = 0.048), respectively. Our findings suggest that gut microbiota and HMOs are both independently and interactively associated with early cognitive development. In particular, the diverse interactions between HMOs and Bacteroides and Bifidobacterium species reveal different candidate pathways through which HMOs, Bifidobacterium and Bacteroides species potentially interact to impact cognitive development in infancy.
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Affiliation(s)
- Seoyoon Cho
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Tinu M. Samuel
- Nestle Product Technology Center-Nutrition, Société des Produits Nestlé S.A., Vevey, Switzerland
| | - Tengfei Li
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Brittany R. Howell
- Fralin Biomedical Research Institute at VTC, Department of Human Development and Family Science, Virginia Polytechnic Institute and State University, Roanoke, VA, United States
| | - Kristine Baluyot
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Heather C. Hazlett
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Jed T. Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN, United States
| | - Hongtu Zhu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Jonas Hauser
- Nestlé Institute of Health Sciences, Société des Produits Nestlé S.A., Lausanne, Switzerland
| | - Norbert Sprenger
- Nestlé Institute of Health Sciences, Société des Produits Nestlé S.A., Lausanne, Switzerland
| | - Weili Lin
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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St. John T, Estes AM, Hazlett HC, Marrus N, Burrows CA, Donovan K, Torres Gomez S, Grzadzinski RL, Parish-Morris J, Smith R, Styner M, Garic D, Pandey J, Lee CM, Schultz RT, Botteron KN, Zwaigenbaum L, Piven J, Dager SR. Association of Sex With Neurobehavioral Markers of Executive Function in 2-Year-Olds at High and Low Likelihood of Autism. JAMA Netw Open 2023; 6:e2311543. [PMID: 37140923 PMCID: PMC10160873 DOI: 10.1001/jamanetworkopen.2023.11543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 03/19/2023] [Indexed: 05/05/2023] Open
Abstract
Importance Children with autism and their siblings exhibit executive function (EF) deficits early in development, but associations between EF and biological sex or early brain alterations in this population are largely unexplored. Objective To investigate the interaction of sex, autism likelihood group, and structural magnetic resonance imaging alterations on EF in 2-year-old children at high familial likelihood (HL) and low familial likelihood (LL) of autism, based on having an older sibling with autism or no family history of autism in first-degree relatives. Design, Setting, and Participants This prospective cohort study assessed 165 toddlers at HL (n = 110) and LL (n = 55) of autism at 4 university-based research centers. Data were collected from January 1, 2007, to December 31, 2013, and analyzed between August 2021 and June 2022 as part of the Infant Brain Imaging Study. Main Outcomes and Measures Direct assessments of EF and acquired structural magnetic resonance imaging were performed to determine frontal lobe, parietal lobe, and total cerebral brain volume. Results A total of 165 toddlers (mean [SD] age, 24.61 [0.95] months; 90 [54%] male, 137 [83%] White) at HL for autism (n = 110; 17 diagnosed with ASD) and LL for autism (n = 55) were studied. The toddlers at HL for autism scored lower than the toddlers at LL for autism on EF tests regardless of sex (mean [SE] B = -8.77 [4.21]; 95% CI, -17.09 to -0.45; η2p = 0.03). With the exclusion of toddlers with autism, no group (HL vs LL) difference in EF was found in boys (mean [SE] difference, -7.18 [4.26]; 95% CI, 1.24-15.59), but EF was lower in HL girls than LL girls (mean [SE] difference, -9.75 [4.34]; 95% CI, -18.32 to -1.18). Brain-behavior associations were examined, controlling for overall cerebral volume and developmental level. Sex differences in EF-frontal (B [SE] = 16.51 [7.43]; 95% CI, 1.36-31.67; η2p = 0.14) and EF-parietal (B [SE] = 17.68 [6.99]; 95% CI, 3.43-31.94; η2p = 0.17) associations were found in the LL group but not the HL group (EF-frontal: B [SE] = -1.36 [3.87]; 95% CI, -9.07 to 6.35; η2p = 0.00; EF-parietal: B [SE] = -2.81 [4.09]; 95% CI, -10.96 to 5.34; η2p = 0.01). Autism likelihood group differences in EF-frontal (B [SE] = -9.93 [4.88]; 95% CI, -19.73 to -0.12; η2p = 0.08) and EF-parietal (B [SE] = -15.44 [5.18]; 95% CI, -25.86 to -5.02; η2p = 0.16) associations were found in girls not boys (EF-frontal: B [SE] = 6.51 [5.88]; 95% CI, -5.26 to 18.27; η2p = 0.02; EF-parietal: B [SE] = 4.18 [5.48]; 95% CI, -6.78 to 15.15; η2p = 0.01). Conclusions and Relevance This cohort study of toddlers at HL and LL of autism suggests that there is an association between sex and EF and that brain-behavior associations in EF may be altered in children at HL of autism. Furthermore, EF deficits may aggregate in families, particularly in girls.
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Affiliation(s)
- Tanya St. John
- Department of Speech and Hearing Science, University of Washington, Seattle
- University of Washington Autism Center, University of Washington, Seattle
| | - Annette M. Estes
- Department of Speech and Hearing Science, University of Washington, Seattle
- University of Washington Autism Center, University of Washington, Seattle
| | - Heather C. Hazlett
- Carolina Institute for Developmental Disabilities, Carrboro, North Carolina
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill
| | - Natasha Marrus
- Department of Psychiatry, Washington University School of Medicine in St Louis, Missouri
| | | | - Kevin Donovan
- Department of Biostatistics, University of Pennsylvania, Philadelphia
| | - Santiago Torres Gomez
- McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Rebecca L. Grzadzinski
- Carolina Institute for Developmental Disabilities, Carrboro, North Carolina
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill
| | - Julia Parish-Morris
- Center for Autism Research, Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Rachel Smith
- Carolina Institute for Developmental Disabilities, Carrboro, North Carolina
| | - Martin Styner
- Carolina Institute for Developmental Disabilities, Carrboro, North Carolina
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill
| | - Dea Garic
- Carolina Institute for Developmental Disabilities, Carrboro, North Carolina
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill
| | - Juhi Pandey
- Center for Autism Research, Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Chimei M. Lee
- Department of Pediatrics, University of Minnesota, Minneapolis
| | - Robert T. Schultz
- Center for Autism Research, Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Kelly N. Botteron
- Department of Psychiatry, Washington University School of Medicine in St Louis, Missouri
| | - Lonnie Zwaigenbaum
- Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, Carrboro, North Carolina
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill
| | - Stephen R. Dager
- Department of Radiology, University of Washington Medical Center, Seattle
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Worthley E, Grzadzinski R, Zwaigenbaum L, Dager SR, Estes AM, Hazlett HC, Schultz RT, Piven J, Wolff JJ. Sensory Profiles in Relation to Later Adaptive Functioning Among Toddlers at High-Familial Likelihood for Autism. J Autism Dev Disord 2023:10.1007/s10803-022-05869-5. [PMID: 37017863 DOI: 10.1007/s10803-022-05869-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/10/2022] [Indexed: 04/06/2023]
Abstract
This study investigated the extent to which sensory responsivity in infancy contributes to adaptive behavior development among toddlers at high-familial likelihood for autism. Prospective, longitudinal data were analyzed for 218 children, 58 of whom received an autism diagnosis. Results indicated that sensory profiles at age one year (hyperresponsivity, sensory seeking) were negatively associated with later adaptive behavior, particularly for socialization, at age 3 years regardless of diagnostic status. These results suggest that early differences in sensory responsivity may have downstream developmental consequences related to social development among young children with high-familial likelihood for autism.
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Affiliation(s)
- Emma Worthley
- University of Minnesota, 56 East River Road, 55455, Minneapolis, MN, USA
| | - Rebecca Grzadzinski
- University of North Carolina at Chapel Hill, 321 S Columbia St, 27516, Chapel Hill, NC, USA
| | | | - Stephen R Dager
- University of Washington, 1701 NE Columbia Rd, 98195, Seattle, WA, USA
| | - Annette M Estes
- University of Washington, 1701 NE Columbia Rd, 98195, Seattle, WA, USA
| | - Heather C Hazlett
- University of North Carolina at Chapel Hill, 321 S Columbia St, 27516, Chapel Hill, NC, USA
| | - Robert T Schultz
- Children's Hospital of Philadelphia, 3401 Civic Center Blvd, 19104, Philadelphia, PA, USA
| | - Joseph Piven
- University of North Carolina at Chapel Hill, 321 S Columbia St, 27516, Chapel Hill, NC, USA
| | - Jason J Wolff
- University of Minnesota, 56 East River Road, 55455, Minneapolis, MN, USA.
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10
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Hawks ZW, Todorov A, Marrus N, Nishino T, Talovic M, Nebel MB, Girault JB, Davis S, Marek S, Seitzman BA, Eggebrecht AT, Elison J, Dager S, Mosconi MW, Tychsen L, Snyder AZ, Botteron K, Estes A, Evans A, Gerig G, Hazlett HC, McKinstry RC, Pandey J, Schultz RT, Styner M, Wolff JJ, Zwaigenbaum L, Markson L, Petersen SE, Constantino JN, White DA, Piven J, Pruett JR. A Prospective Evaluation of Infant Cerebellar-Cerebral Functional Connectivity in Relation to Behavioral Development in Autism Spectrum Disorder. Biol Psychiatry Glob Open Sci 2023; 3:149-161. [PMID: 36712571 PMCID: PMC9874081 DOI: 10.1016/j.bpsgos.2021.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 12/03/2021] [Accepted: 12/04/2021] [Indexed: 02/01/2023] Open
Abstract
Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder diagnosed based on social impairment, restricted interests, and repetitive behaviors. Contemporary theories posit that cerebellar pathology contributes causally to ASD by disrupting error-based learning (EBL) during infancy. The present study represents the first test of this theory in a prospective infant sample, with potential implications for ASD detection. Methods Data from the Infant Brain Imaging Study (n = 94, 68 male) were used to examine 6-month cerebellar functional connectivity magnetic resonance imaging in relation to later (12/24-month) ASD-associated behaviors and outcomes. Hypothesis-driven univariate analyses and machine learning-based predictive tests examined cerebellar-frontoparietal network (FPN; subserves error signaling in support of EBL) and cerebellar-default mode network (DMN; broadly implicated in ASD) connections. Cerebellar-FPN functional connectivity was used as a proxy for EBL, and cerebellar-DMN functional connectivity provided a comparative foil. Data-driven functional connectivity magnetic resonance imaging enrichment examined brain-wide behavioral associations, with post hoc tests of cerebellar connections. Results Cerebellar-FPN and cerebellar-DMN connections did not demonstrate associations with ASD. Functional connectivity magnetic resonance imaging enrichment identified 6-month correlates of later ASD-associated behaviors in networks of a priori interest (FPN, DMN), as well as in cingulo-opercular (also implicated in error signaling) and medial visual networks. Post hoc tests did not suggest a role for cerebellar connections. Conclusions We failed to identify cerebellar functional connectivity-based contributions to ASD. However, we observed prospective correlates of ASD-associated behaviors in networks that support EBL. Future studies may replicate and extend network-level positive results, and tests of the cerebellum may investigate brain-behavior associations at different developmental stages and/or using different neuroimaging modalities.
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Affiliation(s)
- Zoë W. Hawks
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri
- Address correspondence to Zoë W. Hawks, Ph.D.
| | - Alexandre Todorov
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Natasha Marrus
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Tomoyuki Nishino
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Muhamed Talovic
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Mary Beth Nebel
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jessica B. Girault
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Savannah Davis
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Scott Marek
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Benjamin A. Seitzman
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Adam T. Eggebrecht
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Jed Elison
- Institute of Child Development, University of Minnesota, Minneapolis, Minnesota
| | - Stephen Dager
- Departments of Radiology, University of Washington, Seattle, Washington
| | - Matthew W. Mosconi
- Life Span Institute and Clinical Child Psychology Program, University of Kansas, Lawrence, Kansas
| | - Lawrence Tychsen
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Abraham Z. Snyder
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Kelly Botteron
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Annette Estes
- Speech and Hearing Sciences, University of Washington, Seattle, Washington
| | - Alan Evans
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, Quebec, Canada
| | - Guido Gerig
- Department of Computer Science and Engineering, Tandon School of Engineering, New York University, New York, New York
| | - Heather C. Hazlett
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Robert C. McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Juhi Pandey
- Center for Autism Research, Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Robert T. Schultz
- Center for Autism Research, Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Martin Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Jason J. Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, Minnesota
| | - Lonnie Zwaigenbaum
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada
| | - Lori Markson
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri
| | - Steven E. Petersen
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - John N. Constantino
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Desirée A. White
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - John R. Pruett
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
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11
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Burrows CA, Grzadzinski RL, Donovan K, Stallworthy IC, Rutsohn J, St John T, Marrus N, Parish-Morris J, MacIntyre L, Hampton J, Pandey J, Shen MD, Botteron KN, Estes AM, Dager SR, Hazlett HC, Pruett JR, Schultz RT, Zwaigenbaum L, Truong KN, Piven J, Elison JT. A Data-Driven Approach in an Unbiased Sample Reveals Equivalent Sex Ratio of Autism Spectrum Disorder-Associated Impairment in Early Childhood. Biol Psychiatry 2022; 92:654-662. [PMID: 35965107 PMCID: PMC10062179 DOI: 10.1016/j.biopsych.2022.05.027] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 05/12/2022] [Accepted: 05/30/2022] [Indexed: 11/02/2022]
Abstract
BACKGROUND Sex differences in the prevalence of neurodevelopmental disorders are particularly evident in autism spectrum disorder (ASD). Heterogeneous symptom presentation and the potential of measurement bias hinder early ASD detection in females and may contribute to discrepant prevalence estimates. We examined trajectories of social communication (SC) and restricted and repetitive behaviors (RRBs) in a sample of infant siblings of children with ASD, adjusting for age- and sex-based measurement bias. We hypothesized that leveraging a prospective elevated familial likelihood sample, deriving data-driven behavioral constructs, and accounting for measurement bias would reveal less discrepant sex ratios than are typically seen in ASD. METHODS We conducted direct assessments of ASD symptoms at 6 to 9, 12 to 15, 24, and 36 to 60 months of age (total nobservations = 1254) with infant siblings of children with ASD (n = 377) and a lower ASD-familial-likelihood comparison group (n = 168; nobservations = 527). We established measurement invariance across age and sex for separate models of SC and RRB. We then conducted latent class growth mixture modeling with the longitudinal data and evaluated for sex differences in trajectory membership. RESULTS We identified 2 latent classes in the SC and RRB models with equal sex ratios in the high-concern cluster for both SC and RRB. Sex differences were also observed in the SC high-concern cluster, indicating that girls classified as having elevated social concerns demonstrated milder symptoms than boys in this group. CONCLUSIONS This novel approach for characterizing ASD symptom progression highlights the utility of assessing and adjusting for sex-related measurement bias and identifying sex-specific patterns of symptom emergence.
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Affiliation(s)
- Catherine A Burrows
- Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, Minnesota.
| | - Rebecca L Grzadzinski
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Kevin Donovan
- Department of Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Isabella C Stallworthy
- Institute of Child Development, College of Education and Human Development, University of Minnesota, Minneapolis, Minnesota
| | - Joshua Rutsohn
- Department of Biostatistics, Gillings School of Global PubLic Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Tanya St John
- UW Autism Center, Center on Human Development & Disability, University of Washington, Seattle, Washington
| | - Natasha Marrus
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Julia Parish-Morris
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Leigh MacIntyre
- McGill Centre for Integrative Neuroscience, Montreal Neurological Institute-Hospital, McGill University, Montreal, Quebec, Canada
| | - Jacqueline Hampton
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Juhi Pandey
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; UNC Neuroscience Center, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Kelly N Botteron
- Department of Radiology, University of Washington Medical Center, Seattle, Washington; Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Annette M Estes
- UW Autism Center, Center on Human Development & Disability, University of Washington, Seattle, Washington; Department of Speech & Hearing Sciences, University of Washington, Seattle, Washington
| | - Stephen R Dager
- Department of Radiology, University of Washington Medical Center, Seattle, Washington
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - John R Pruett
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Robert T Schultz
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Lonnie Zwaigenbaum
- Department of Pediatrics, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Alberta, Canada
| | - Kinh N Truong
- Department of Biostatistics, Gillings School of Global PubLic Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Jed T Elison
- Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, Minnesota; Institute of Child Development, College of Education and Human Development, University of Minnesota, Minneapolis, Minnesota
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12
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Sung S, Fenoglio A, Wolff JJ, Schultz RT, Botteron KN, Dager SR, Estes AM, Hazlett HC, Zwaigenbaum L, Piven J, Elison JT. Examining the factor structure and discriminative utility of the Infant Behavior Questionnaire-Revised in infant siblings of autistic children. Child Dev 2022; 93:1398-1413. [PMID: 35485579 PMCID: PMC9544485 DOI: 10.1111/cdev.13781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Using the Infant Behavior Questionnaire-Revised in a longitudinal sample of infant siblings of autistic children (HR; n = 427, 171 female, 83.4% White) and a comparison group of low-risk controls (LR, n = 200, 86 female, 81.5% White), collected between 2007 and 2017, this study identified an invariant factor structure of temperament traits across groups at 6 and 12 months. Second, after partitioning the groups by familial risk and diagnostic outcome at 24 months, results reveal an endophenotypic pattern of Positive Emotionality at both 6 and 12 months, (HR-autism spectrum disorder [ASD] < HR-no-ASD < LR). Third, increased 'Duration of Orienting' at 12 months was associated with lower scores on the 24-month developmental outcomes in HR infants. These findings may augment efforts for early identification of ASD.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Joseph Piven
- University of North Carolina—Chapel HillChapel HillNorth CarolinaUSA
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13
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Girault JB, Donovan K, Hawks Z, Talovic M, Forsen E, Elison JT, Shen MD, Swanson MR, Wolff JJ, Kim SH, Nishino T, Davis S, Snyder AZ, Botteron KN, Estes AM, Dager SR, Hazlett HC, Gerig G, McKinstry R, Pandey J, Schultz RT, St John T, Zwaigenbaum L, Todorov A, Truong Y, Styner M, Pruett JR, Constantino JN, Piven J. Infant Visual Brain Development and Inherited Genetic Liability in Autism. Am J Psychiatry 2022; 179:573-585. [PMID: 35615814 PMCID: PMC9356977 DOI: 10.1176/appi.ajp.21101002] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Autism spectrum disorder (ASD) is heritable, and younger siblings of ASD probands are at higher likelihood of developing ASD themselves. Prospective MRI studies of siblings report that atypical brain development precedes ASD diagnosis, although the link between brain maturation and genetic factors is unclear. Given that familial recurrence of ASD is predicted by higher levels of ASD traits in the proband, the authors investigated associations between proband ASD traits and brain development among younger siblings. METHODS In a sample of 384 proband-sibling pairs (89 pairs concordant for ASD), the authors examined associations between proband ASD traits and sibling brain development at 6, 12, and 24 months in key MRI phenotypes: total cerebral volume, cortical surface area, extra-axial cerebrospinal fluid, occipital cortical surface area, and splenium white matter microstructure. Results from primary analyses led the authors to implement a data-driven approach using functional connectivity MRI at 6 months. RESULTS Greater levels of proband ASD traits were associated with larger total cerebral volume and surface area and larger surface area and reduced white matter integrity in components of the visual system in siblings who developed ASD. This aligned with weaker functional connectivity between several networks and the visual system among all siblings during infancy. CONCLUSIONS The findings provide evidence that specific early brain MRI phenotypes of ASD reflect quantitative variation in familial ASD traits. Multimodal anatomical and functional convergence on cortical regions, fiber pathways, and functional networks involved in visual processing suggest that inherited liability has a role in shaping the prodromal development of visual circuitry in ASD.
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Affiliation(s)
- Jessica B Girault
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Educational Psychology (Wolff), University of Minnesota, Minneapolis;Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Kevin Donovan
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Zoë Hawks
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Muhamed Talovic
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Elizabeth Forsen
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Jed T Elison
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Meghan R Swanson
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Jason J Wolff
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Sun Hyung Kim
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Tomoyuki Nishino
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Savannah Davis
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Abraham Z Snyder
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Kelly N Botteron
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Annette M Estes
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Stephen R Dager
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Guido Gerig
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Robert McKinstry
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Juhi Pandey
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Robert T Schultz
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Tanya St John
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Lonnie Zwaigenbaum
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Alexandre Todorov
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Young Truong
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Martin Styner
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - John R Pruett
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - John N Constantino
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
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- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
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Shen MD, Swanson MR, Wolff JJ, Elison JT, Girault JB, Kim SH, Smith RG, Graves MM, Weisenfeld LAH, Flake L, MacIntyre L, Gross JL, Burrows CA, Fonov VS, Collins DL, Evans AC, Gerig G, McKinstry RC, Pandey J, St John T, Zwaigenbaum L, Estes AM, Dager SR, Schultz RT, Styner MA, Botteron KN, Hazlett HC, Piven J. Subcortical Brain Development in Autism and Fragile X Syndrome: Evidence for Dynamic, Age- and Disorder-Specific Trajectories in Infancy. Am J Psychiatry 2022; 179:562-572. [PMID: 35331012 PMCID: PMC9762548 DOI: 10.1176/appi.ajp.21090896] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Previous research has demonstrated that the amygdala is enlarged in children with autism spectrum disorder (ASD). However, the precise onset of this enlargement during infancy, how it relates to later diagnostic behaviors, whether the timing of enlargement in infancy is specific to the amygdala, and whether it is specific to ASD (or present in other neurodevelopmental disorders, such as fragile X syndrome) are all unknown. METHODS Longitudinal MRIs were acquired at 6-24 months of age in 29 infants with fragile X syndrome, 58 infants at high likelihood for ASD who were later diagnosed with ASD, 212 high-likelihood infants not diagnosed with ASD, and 109 control infants (1,099 total scans). RESULTS Infants who developed ASD had typically sized amygdala volumes at 6 months, but exhibited significantly faster amygdala growth between 6 and 24 months, such that by 12 months the ASD group had significantly larger amygdala volume (Cohen's d=0.56) compared with all other groups. Amygdala growth rate between 6 and 12 months was significantly associated with greater social deficits at 24 months when the infants were diagnosed with ASD. Infants with fragile X syndrome had a persistent and significantly enlarged caudate volume at all ages between 6 and 24 months (d=2.12), compared with all other groups, which was significantly associated with greater repetitive behaviors. CONCLUSIONS This is the first MRI study comparing fragile X syndrome and ASD in infancy, demonstrating strikingly different patterns of brain and behavior development. Fragile X syndrome-related changes were present from 6 months of age, whereas ASD-related changes unfolded over the first 2 years of life, starting with no detectable group differences at 6 months. Increased amygdala growth rate between 6 and 12 months occurs prior to social deficits and well before diagnosis. This gradual onset of brain and behavior changes in ASD, but not fragile X syndrome, suggests an age- and disorder-specific pattern of cascading brain changes preceding autism diagnosis.
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Affiliation(s)
- Mark D Shen
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Meghan R Swanson
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Jason J Wolff
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Jed T Elison
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Jessica B Girault
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Sun Hyung Kim
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Rachel G Smith
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Michael M Graves
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Leigh Anne H Weisenfeld
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Lisa Flake
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Leigh MacIntyre
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Julia L Gross
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Catherine A Burrows
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Vladimir S Fonov
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - D Louis Collins
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Alan C Evans
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Guido Gerig
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Robert C McKinstry
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Juhi Pandey
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Tanya St John
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Lonnie Zwaigenbaum
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Annette M Estes
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Stephen R Dager
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Robert T Schultz
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Martin A Styner
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Kelly N Botteron
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
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15
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Yankowitz LD, Petrulla V, Plate S, Tunc B, Guthrie W, Meera SS, Tena K, Pandey J, Swanson MR, Pruett JR, Cola M, Russell A, Marrus N, Hazlett HC, Botteron K, Constantino JN, Dager SR, Estes A, Zwaigenbaum L, Piven J, Schultz RT, Parish-Morris J. Infants later diagnosed with autism have lower canonical babbling ratios in the first year of life. Mol Autism 2022; 13:28. [PMID: 35761377 PMCID: PMC9235227 DOI: 10.1186/s13229-022-00503-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 05/20/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Canonical babbling-producing syllables with a mature consonant, full vowel, and smooth transition-is an important developmental milestone that typically occurs in the first year of life. Some studies indicate delayed or reduced canonical babbling in infants at high familial likelihood for autism spectrum disorder (ASD) or who later receive an ASD diagnosis, but evidence is mixed. More refined characterization of babbling in the first year of life in infants with high likelihood for ASD is needed. METHODS Vocalizations produced at 6 and 12 months by infants (n = 267) taking part in a longitudinal study were coded for canonical and non-canonical syllables. Infants were categorized as low familial likelihood (LL), high familial likelihood diagnosed with ASD at 24 months (HL-ASD) or not diagnosed (HL-Neg). Language delay was assessed based on 24-month expressive and receptive language scores. Canonical babble ratio (CBR) was calculated by dividing the number of canonical syllables by the number of total syllables. Generalized linear (mixed) models were used to assess the relationship between group membership and CBR, controlling for site, sex, and maternal education. Logistic regression was used to assess whether canonical babbling ratios at 6 and 12 months predict 24-month diagnostic outcome. RESULTS No diagnostic group differences in CBR were detected at 6 months, but HL-ASD infants produced significantly lower CBR than both the HL-Neg and LL groups at 12 months. HL-Neg infants with language delay also showed reduced CBR at 12 months. Neither 6- nor 12-month CBR was significant predictors of 24-month diagnostic outcome (ASD versus no ASD) in logistic regression. LIMITATIONS Small numbers of vocalizations produced by infants at 6 months may limit the reliability of CBR estimates. It is not known if results generalize to infants who are not at high familial likelihood, or infants from more diverse racial and socioeconomic backgrounds. CONCLUSIONS Lower canonical babbling ratios are apparent by the end of the first year of life in ASD regardless of later language delay, but are also observed for infants with later language delay without ASD. Canonical babbling may lack specificity as an early marker when used on its own.
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Affiliation(s)
- L D Yankowitz
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA.
| | - V Petrulla
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - S Plate
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - B Tunc
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - W Guthrie
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - S S Meera
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - K Tena
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - J Pandey
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - M R Swanson
- Department of Psychology, University of Texas at Dallas, Richardson, TX, USA
| | - J R Pruett
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - M Cola
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - A Russell
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - N Marrus
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - H C Hazlett
- University of North Carolina, Chapel Hill, NC, USA
| | - K Botteron
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - J N Constantino
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - S R Dager
- University of Washington, Seattle, WA, USA
| | - A Estes
- University of Washington, Seattle, WA, USA
| | - L Zwaigenbaum
- Department of Pediatrics, University of Alberta, Edmonton, Canada
| | - J Piven
- University of North Carolina, Chapel Hill, NC, USA
| | - R T Schultz
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - J Parish-Morris
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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16
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Chaxiong P, Burrows C, Botteron KN, Dager SR, Estes AM, Hazlett HC, Schultz RT, Zwaigenbaum L, Piven J, Wolff J. Relations of Restricted and Repetitive Behaviors to Social Skills in Toddlers with Autism. J Autism Dev Disord 2022; 52:1423-1434. [PMID: 33956255 PMCID: PMC8571122 DOI: 10.1007/s10803-021-05014-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/06/2021] [Indexed: 12/21/2022]
Abstract
We examined the relations of restricted and repetitive behaviors (RRB; insistence on sameness, repetitive sensory-motor, self-injurious behavior) to social skills overall and aspects that comprise social skills as measured by the VABS-II (coping skills, play/leisure time, interpersonal relationships) in 24- (n = 63) and 36-month old (n = 35), high-familial-risk toddlers with ASD. Hierarchical linear regression results indicated that repetitive sensory-motor was the best predictor of social skills overall. Secondary results indicated that all three RRB subtypes were associated with each subdomain of social skills; however, repetitive sensory-motor was the strongest and most consistent among these effects. While our results suggests a general negative relation of subtypes of RRB to aspects of adaptive social function, repetitive sensory-motor behaviors may be of particular relevance to the development of social skills during toddlerhood.
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Affiliation(s)
- Pang Chaxiong
- University of Minnesota, 56 East River Road, Minneapolis, MN, 55455, USA
| | - Catherine Burrows
- University of Minnesota, 56 East River Road, Minneapolis, MN, 55455, USA
| | - Kelly N Botteron
- Washington University in St. Louis, 660 S Euclid Ave, St. Louis, MO, 63110, USA
| | - Stephen R Dager
- University of Washington, 1701 NE Columbia Rd, Seattle, WA, 98195, USA
| | - Annette M Estes
- University of Washington, 1701 NE Columbia Rd, Seattle, WA, 98195, USA
| | - Heather C Hazlett
- University of North Carolina at Chapel Hill, 321 S Columbia St, Chapel Hill, NC, 27516, USA
| | - Robert T Schultz
- Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | | | - Joseph Piven
- University of North Carolina at Chapel Hill, 321 S Columbia St, Chapel Hill, NC, 27516, USA
| | - Jason Wolff
- University of Minnesota, 56 East River Road, Minneapolis, MN, 55455, USA.
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17
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Stallworthy I, Lasch C, Berry D, Wolff JJ, Pruett JR, Marrus N, Swanson MR, Botteron KN, Dager SR, Estes AM, Hazlett HC, Schultz RT, Zwaigenbaum L, Piven J, Elison JT. Variability in Responding to Joint Attention Cues in the First Year is Associated With Autism Outcome. J Am Acad Child Adolesc Psychiatry 2022; 61:413-422. [PMID: 33965519 PMCID: PMC8636536 DOI: 10.1016/j.jaac.2021.03.023] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Revised: 02/10/2021] [Accepted: 04/26/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVE With development, infants become increasingly responsive to the many attention-sharing cues of adults; however, little work has examined how this ability emerges in typical development or in the context of early autism spectrum disorder (ASD). This study characterized variation in the type of cue needed to elicit a response to joint attention (RJA) using the Dimensional Joint Attention Assessment (DJAA) during naturalistic play. METHOD We measured the average redundancy of cue type required for infants to follow RJA bids from an experimenter, as well as their response consistency, in 268 infants at high (HR, n = 68) and low (LR, N = 200) familial risk for ASD. Infants were assessed between 8 and 18 months of age and followed up with developmental and clinical assessments at 24 or 36 months. Our sample consisted of LR infants, as well as HR infants who did (HR-ASD) and did not (HR-neg) develop ASD at 24 months. RESULTS We found that HR and LR infants developed abilities to respond to less redundant (more sophisticated) RJA cues at different rates, and that HR-ASD infants displayed delayed abilities, identifiable as early as 9 months, compared to both HR-neg and LR infants. Interestingly, results suggest that HR-neg infants may exhibit a propensity to respond to less redundant (more sophisticated) RJA cues relative to both HR-ASD and LR infants. CONCLUSION Using an approach to characterize variable performance of RJA cue-reading abilities, findings from this study enhance our understanding of both typical and ASD-related proficiencies and deficits in RJA development.
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Affiliation(s)
| | | | | | | | - John R. Pruett
- Washington University School of Medicine, St. Louis, Missouri
| | - Natasha Marrus
- Washington University School of Medicine, St. Louis, Missouri
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18
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Tunç B, Pandey J, John TS, Meera SS, Maldarelli JE, Zwaigenbaum L, Hazlett HC, Dager SR, Botteron KN, Girault JB, McKinstry RC, Verma R, Elison JT, Pruett JR, Piven J, Estes AM, Schultz RT. Diagnostic shifts in autism spectrum disorder can be linked to the fuzzy nature of the diagnostic boundary: a data-driven approach. J Child Psychol Psychiatry 2021; 62:1236-1245. [PMID: 33826159 PMCID: PMC8601115 DOI: 10.1111/jcpp.13406] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/06/2021] [Indexed: 01/14/2023]
Abstract
BACKGROUND Diagnostic shifts at early ages may provide invaluable insights into the nature of separation between autism spectrum disorder (ASD) and typical development. Recent conceptualizations of ASD suggest the condition is only fuzzily separated from non-ASD, with intermediate cases between the two. These intermediate cases may shift along a transition region over time, leading to apparent instability of diagnosis. METHODS We used a cohort of children with high ASD risk, by virtue of having an older sibling with ASD, assessed at 24 months (N = 212) and 36 months (N = 191). We applied machine learning to empirically characterize the classification boundary between ASD and non-ASD, using variables quantifying developmental and adaptive skills. We computed the distance of children to the classification boundary. RESULTS Children who switched diagnostic labels from 24 to 36 months, in both directions, (dynamic group) had intermediate phenotypic profiles. They were closer to the classification boundary compared to children who had stable diagnoses, both at 24 months (Cohen's d = .52) and at 36 months (d = .75). The magnitude of change in distance between the two time points was similar for the dynamic and stable groups (Cohen's d = .06), and diagnostic shifts were not associated with a large change. At the individual level, a few children in the dynamic group showed substantial change. CONCLUSIONS Our results suggested that a diagnostic shift was largely due to a slight movement within a transition region between ASD and non-ASD. This fact highlights the need for more vigilant surveillance and intervention strategies. Young children with intermediate phenotypes may have an increased susceptibility to gain or lose their diagnosis at later ages, calling attention to the inherently dynamic nature of early ASD diagnoses.
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Affiliation(s)
- Birkan Tunç
- Center for Autism Research, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.,Correspondence to: Birkan Tunç, PhD,
| | - Juhi Pandey
- Center for Autism Research, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Tanya St. John
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA 98195, USA
| | - Shoba S. Meera
- Department of Speech Pathology and Audiology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Jennifer E. Maldarelli
- Center for Autism Research, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Lonnie Zwaigenbaum
- Department of Pediatrics, University of Alberta, Edmonton, AB T6G 2R3, Canada
| | - Heather C. Hazlett
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, , NC 27599, USA
| | - Stephen R. Dager
- Department of Radiology and Bioengineering, University of Washington, Seattle, WA 98195, USA
| | - Kelly N. Botteron
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jessica B. Girault
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, , NC 27599, USA
| | - Robert C. McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Ragini Verma
- DiCIPHR (Diffusion and Connectomics in Precision Healthcare Research) Lab, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jed T. Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN 55455, USA
| | - John R. Pruett
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Joseph Piven
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, , NC 27599, USA
| | - Annette M. Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA 98195, USA.,Department of Psychology, University of Washington, Seattle, WA 98195, USA
| | - Robert T. Schultz
- Center for Autism Research, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
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19
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Burrows CA, Bodfish JW, Wolff JJ, Vollman EP, Altschuler MR, Botteron KN, Dager SR, Estes AM, Hazlett HC, Pruett JR, Schultz RT, Zwaigenbaum L, Piven J, Elison JT. Cataloguing and characterizing interests in typically developing toddlers and toddlers who develop ASD. Autism Res 2021; 14:1710-1723. [PMID: 34021722 PMCID: PMC8714188 DOI: 10.1002/aur.2543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 04/16/2021] [Accepted: 05/03/2021] [Indexed: 11/06/2022]
Abstract
Intense interests are common in children with and without autism spectrum disorder (ASD), and little research has characterized aspects of interests that are unique to or shared among children with and without ASD. We aimed to characterize interests in a sample of infants at high-familial-risk (HR) and low-familial-risk (LR) for ASD using a novel interview. Participants included HR siblings who were diagnosed with ASD at 24 months (HR-ASD, n = 56), HR siblings who did not receive an ASD diagnosis at 24 months (HR-Neg, n = 187), and a LR comparison group (n = 109). We developed and collected data with the Intense Interests Inventory at 18- and 24-months of age, a semi-structured interview that measures intensity and peculiarity of interests in toddlers and preschool-aged children. Intensity of interests differed by familial risk at 24 months, with HR-ASD and HR-Neg groups demonstrating equivalent intensity of interests that were higher than the LR group. By contrast, peculiarity of interest differed by ASD diagnosis, with the HR-ASD group showing more peculiar interests than the HR-Neg and LR groups at 24 months. At 18 months the HR-ASD group had more peculiar interests than the LR group, though no differences emerged in intensity of interests. This measure may be useful in identifying clinically-relevant features of interests in young children with ASD. We also replicated previous findings of males showing more intense interests at 18 months in our non-ASD sample. These results reveal new information about the nature of interests and preoccupations in the early autism phenotype. LAY SUMMARY: Intense interests are common in young children with autism and their family members. Intense interests are also prevalent among typically-developing children, and especially boys. Here we catalog interests and features of these interests in a large sample of toddlers enriched for autism risk. Children who had family members with autism had more intense interests, and those who developed autism themselves had more unusual interests at 24 months. These results highlight the importance of different aspects of interest in autism.
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Affiliation(s)
- Catherine A Burrows
- Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA
| | - James W Bodfish
- Department of Hearing & Speech Sciences, Department of Psychiatry & Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Elayne P Vollman
- Department of Psychology and Comparative Human Development, University of Chicago, Chicago, Illinois, USA
| | - Melody R Altschuler
- Institute of Child Development, University of Minnesota, Minneapolis, Minnesota, USA
| | - Kelly N Botteron
- Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA
| | - Stephen R Dager
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Annette M Estes
- Center on Human Development and Disability, University of Washington, Seattle, Washington, USA
| | - Heather C Hazlett
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, USA
| | - John R Pruett
- Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA
| | - Robert T Schultz
- Children's Hospital of Philadelphia, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Lonnie Zwaigenbaum
- Autism Research Centre, Department of Pediatrics, University of Alberta, Edmonton, Canada
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, Minnesota, USA
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20
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Meera SS, Donovan K, Wolff JJ, Zwaigenbaum L, Elison JT, Kinh T, Shen MD, Estes AM, Hazlett HC, Watson LR, Baranek GT, Swanson MR, St John T, Burrows CA, Schultz RT, Dager SR, Botteron KN, Pandey J, Piven J. Towards a Data-Driven Approach to Screen for Autism Risk at 12 Months of Age. J Am Acad Child Adolesc Psychiatry 2021; 60:968-977. [PMID: 33161063 PMCID: PMC8127075 DOI: 10.1016/j.jaac.2020.10.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 07/19/2020] [Accepted: 10/28/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVE This study aimed to develop a classifier for infants at 12 months of age based on a parent-report measure (the First Year Inventory 2.0 [FYI]), for the following reasons: (1) to classify infants at elevated risk, above and beyond that attributable to familial risk status for ASD; and (2) to serve as a starting point to refine an approach for risk estimation in population samples. METHOD A total of 54 high-familial risk (HR) infants later diagnosed with ASD (HR-ASD), 183 HR infants not diagnosed with ASD at 24 months of age (HR-Neg), and 72 low-risk controls participated in the study. All infants contributed FYI data at 12 months of age and had a diagnostic assessment for ASD at age 24 months. A data-driven, cross-validated analytic approach was used to develop a classifier to determine screening accuracy (eg, sensitivity) of the FYI to classify HR-ASD and HR-Neg. RESULTS The newly developed FYI classifier had an estimated sensitivity of 0.71 (95% CI: 0.50, 0.91) and specificity of 0.72 (95% CI: 0.49, 0.91). CONCLUSION This classifier demonstrates the potential to improve current screening for ASD risk at 12 months of age in infants already at elevated familial risk for ASD, increasing opportunities for detection of autism risk in infancy. Findings from this study highlight the utility of combining parent-report measures with machine learning approaches.
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Affiliation(s)
- Shoba S Meera
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill; The National Institute of Mental Health and Neurosciences, Bangalore, India.
| | - Kevin Donovan
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill
| | | | - Lonnie Zwaigenbaum
- University of Alberta, Edmonton, Canada; and the Autism Research Centre, Glenrose Rehabilitation Hospital, Edmonton, Canada
| | | | - Truong Kinh
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill
| | | | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill
| | - Linda R Watson
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill
| | | | | | | | | | | | | | | | - Juhi Pandey
- Children's Hospital of Philadelphia, University of Pennsylvania
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill
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21
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Cho S, Zhu Z, Li T, Baluyot K, Howell BR, Hazlett HC, Elison JT, Hauser J, Sprenger N, Wu D, Lin W. Human milk 3'-Sialyllactose is positively associated with language development during infancy. Am J Clin Nutr 2021; 114:588-597. [PMID: 34020453 PMCID: PMC8326052 DOI: 10.1093/ajcn/nqab103] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 03/09/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Genetic polymorphisms leading to variations in human milk oligosaccharide (HMO) composition have been reported. Alpha-Tetrasaccharide (A-tetra), an HMO, has been shown to only be present (>limit of detection; A-tetra+) in the human milk (HM) of women with blood type A, suggesting genetic origins determining the presence or absence (A-tetra-) of A-tetra in HM. OBJECTIVES This study aimed to determine whether associations exist between HMO concentrations and cognitive development, and whether the associations vary between A-tetra+ and A-tetra- groups in children (<25 months old). METHODS We enrolled typically developing children (2-25 months old; mean, 10 months old) who were at least partially breastfed at the study visit. The Mullen Scales of Early Learning (MSEL) were used as the primary outcome measure to assess early cognitive development. Linear mixed effects models were employed by stratifying children based on A-tetra levels (A-tetra+ or A-tetra-) to assess associations between age-removed HMO concentrations and both MSEL composite scores and the 5 subdomain scores. RESULTS A total of 99 mother-child dyads and 183 HM samples were included (A-tetra+: 57 samples, 33 dyads; A-tetra-: 126 samples, 66 dyads). No significant association was observed between HMOs and MSEL when all samples were analyzed together. The composite score and 3'-sialyllactose (3'-SL) levels were positively associated [P = 0.002; effect size (EF), 13.12; 95% CI, 5.36-20.80] in the A-tetra + group. This association was driven by the receptive (adjusted P = 0.015; EF, 9.95; 95% CI, 3.91-15.99) and expressive (adjusted P = 0.048; EF, 7.53; 95% CI, 2.51-13.79) language subdomain scores. Furthermore, there was an interaction between 3'-SL and age for receptive language (adjusted P = 0.03; EF, -14.93; 95% CI, -25.29 to -4.24). CONCLUSIONS Our study reports the association of 3'-SL and cognition, particularly language functions, in typically developing children who received HM containing detectable A-tetra during infancy.
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Affiliation(s)
- Seoyoon Cho
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ziliang Zhu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Tengfei Li
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA,Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kristine Baluyot
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Brittany R Howell
- Fralin Biomedical Research Institute at Virginia Tech Carilion (VTC), Department of Human Development and Family Science, Virginia Polytechnic Institute and State University, Roanoke, VA, USA
| | - Heather C Hazlett
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - Jonas Hauser
- Nestlé Institute of Health Sciences, Société des Produits Nestlé SA, Lausanne, Switzerland
| | - Norbert Sprenger
- Nestlé Institute of Health Sciences, Société des Produits Nestlé SA, Lausanne, Switzerland
| | - Di Wu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA,Division of Oral and Craniofacial Health Science, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Weili Lin
- Address correspondence to WL (e-mail: )
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22
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Peng L, Lin L, Lin Y, Chen YW, Mo Z, Vlasova RM, Kim SH, Evans AC, Dager SR, Estes AM, McKinstry RC, Botteron KN, Gerig G, Schultz RT, Hazlett HC, Piven J, Burrows CA, Grzadzinski RL, Girault JB, Shen MD, Styner MA. Longitudinal Prediction of Infant MR Images With Multi-Contrast Perceptual Adversarial Learning. Front Neurosci 2021; 15:653213. [PMID: 34566556 PMCID: PMC8458966 DOI: 10.3389/fnins.2021.653213] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 08/09/2021] [Indexed: 11/28/2022] Open
Abstract
The infant brain undergoes a remarkable period of neural development that is crucial for the development of cognitive and behavioral capacities (Hasegawa et al., 2018). Longitudinal magnetic resonance imaging (MRI) is able to characterize the developmental trajectories and is critical in neuroimaging studies of early brain development. However, missing data at different time points is an unavoidable occurrence in longitudinal studies owing to participant attrition and scan failure. Compared to dropping incomplete data, data imputation is considered a better solution to address such missing data in order to preserve all available samples. In this paper, we adapt generative adversarial networks (GAN) to a new application: longitudinal image prediction of structural MRI in the first year of life. In contrast to existing medical image-to-image translation applications of GANs, where inputs and outputs share a very close anatomical structure, our task is more challenging as brain size, shape and tissue contrast vary significantly between the input data and the predicted data. Several improvements over existing GAN approaches are proposed to address these challenges in our task. To enhance the realism, crispness, and accuracy of the predicted images, we incorporate both a traditional voxel-wise reconstruction loss as well as a perceptual loss term into the adversarial learning scheme. As the differing contrast changes in T1w and T2w MR images in the first year of life, we incorporate multi-contrast images leading to our proposed 3D multi-contrast perceptual adversarial network (MPGAN). Extensive evaluations are performed to assess the qualityand fidelity of the predicted images, including qualitative and quantitative assessments of the image appearance, as well as quantitative assessment on two segmentation tasks. Our experimental results show that our MPGAN is an effective solution for longitudinal MR image data imputation in the infant brain. We further apply our predicted/imputed images to two practical tasks, a regression task and a classification task, in order to highlight the enhanced task-related performance following image imputation. The results show that the model performance in both tasks is improved by including the additional imputed data, demonstrating the usability of the predicted images generated from our approach.
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Affiliation(s)
- Liying Peng
- Department of Computer Science, Zhejiang University, Hangzhou, China
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
| | - Lanfen Lin
- Department of Computer Science, Zhejiang University, Hangzhou, China
| | - Yusen Lin
- Department of Electrical and Computer Engineering Department, University of Maryland, College Park, MD, United States
| | - Yen-wei Chen
- Department of Information Science and Engineering, Ritsumeikan University, Shiga, Japan
| | - Zhanhao Mo
- Department of Radiology, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Roza M. Vlasova
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
| | - Sun Hyung Kim
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
| | - Alan C. Evans
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Stephen R. Dager
- Department of Radiology, University of Washington, Seattle, WA, United States
| | - Annette M. Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, United States
| | - Robert C. McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, United States
| | - Kelly N. Botteron
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, United States
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
| | - Guido Gerig
- Department of Computer Science and Engineering, New York University, New York, NY, United States
| | - Robert T. Schultz
- Center for Autism Research, Department of Pediatrics, Children's Hospital of Philadelphia, and University of Pennsylvania, Philadelphia, PA, United States
| | - Heather C. Hazlett
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
- Carolina Institute for Developmental Disabilities, University of North Carolina School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Joseph Piven
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
- Carolina Institute for Developmental Disabilities, University of North Carolina School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Catherine A. Burrows
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, United States
| | - Rebecca L. Grzadzinski
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
- Carolina Institute for Developmental Disabilities, University of North Carolina School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Jessica B. Girault
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
- Carolina Institute for Developmental Disabilities, University of North Carolina School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Mark D. Shen
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
- Carolina Institute for Developmental Disabilities, University of North Carolina School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
- UNC Neuroscience Center, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Martin A. Styner
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, United States
- *Correspondence: Martin A. Styner
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23
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Mostapha M, Kim SH, Evans AC, Dager SR, Estes AM, McKinstry RC, Botteron KN, Gerig G, Pizer SM, Schultz RT, Hazlett HC, Piven J, Girault JB, Shen MD, Styner MA. A Novel Method for High-Dimensional Anatomical Mapping of Extra-Axial Cerebrospinal Fluid: Application to the Infant Brain. Front Neurosci 2020; 14:561556. [PMID: 33132824 PMCID: PMC7561674 DOI: 10.3389/fnins.2020.561556] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 08/21/2020] [Indexed: 12/21/2022] Open
Abstract
Cerebrospinal fluid (CSF) plays an essential role in early postnatal brain development. Extra-axial CSF (EA-CSF) volume, which is characterized by CSF in the subarachnoid space surrounding the brain, is a promising marker in the early detection of young children at risk for neurodevelopmental disorders. Previous studies have focused on global EA-CSF volume across the entire dorsal extent of the brain, and not regionally-specific EA-CSF measurements, because no tools were previously available for extracting local EA-CSF measures suitable for localized cortical surface analysis. In this paper, we propose a novel framework for the localized, cortical surface-based analysis of EA-CSF. The proposed processing framework combines probabilistic brain tissue segmentation, cortical surface reconstruction, and streamline-based local EA-CSF quantification. The quantitative analysis of local EA-CSF was applied to a dataset of typically developing infants with longitudinal MRI scans from 6 to 24 months of age. There was a high degree of consistency in the spatial patterns of local EA-CSF across age using the proposed methods. Statistical analysis of local EA-CSF revealed several novel findings: several regions of the cerebral cortex showed reductions in EA-CSF from 6 to 24 months of age, and specific regions showed higher local EA-CSF in males compared to females. These age-, sex-, and anatomically-specific patterns of local EA-CSF would not have been observed if only a global EA-CSF measure were utilized. The proposed methods are integrated into a freely available, open-source, cross-platform, user-friendly software tool, allowing neuroimaging labs to quantify local extra-axial CSF in their neuroimaging studies to investigate its role in typical and atypical brain development.
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Affiliation(s)
- Mahmoud Mostapha
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, United States
| | - Sun Hyung Kim
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
| | - Alan C Evans
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Stephen R Dager
- Department of Radiology, University of Washington, Seattle, WA, United States
| | - Annette M Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, United States
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, United States
| | - Kelly N Botteron
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, United States.,Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
| | - Guido Gerig
- Department of Computer Science and Engineering, New York University, New York, NY, United States
| | - Stephen M Pizer
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, United States
| | - Robert T Schultz
- Department of Pediatrics, Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, United States
| | - Heather C Hazlett
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States.,Carolina Institute for Developmental Disabilities, UNC School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Joseph Piven
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States.,Carolina Institute for Developmental Disabilities, UNC School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Jessica B Girault
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States.,Carolina Institute for Developmental Disabilities, UNC School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Mark D Shen
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States.,Carolina Institute for Developmental Disabilities, UNC School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States.,UNC Neuroscience Center, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Martin A Styner
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, United States.,Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
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24
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Lyall K, Song L, Botteron K, Croen LA, Dager SR, Fallin MD, Hazlett HC, Kauffman E, Landa R, Ladd-Acosta C, Messinger DS, Ozonoff S, Pandey J, Piven J, Schmidt RJ, Schultz RT, Stone WL, Newschaffer CJ, Volk HE. The Association Between Parental Age and Autism-Related Outcomes in Children at High Familial Risk for Autism. Autism Res 2020; 13:998-1010. [PMID: 32314879 PMCID: PMC7396152 DOI: 10.1002/aur.2303] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 03/20/2020] [Accepted: 03/24/2020] [Indexed: 12/19/2022]
Abstract
Advanced parental age is a well-replicated risk factor for autism spectrum disorder (ASD), a neurodevelopmental condition with a complex and not well-defined etiology. We sought to determine parental age associations with ASD-related outcomes in subjects at high familial risk for ASD. A total of 397 younger siblings of a child with ASD, drawn from existing prospective high familial risk cohorts, were included in these analyses. Overall, we did not observe significant associations of advanced parental age with clinical ASD diagnosis, Social Responsiveness Scale, or Vineland Adaptive Behavior Scales scores. Instead, increased odds of ASD were found with paternal age < 30 years (adjusted odds ratio [AOR] = 2.83 and 95% confidence intervals [CI] = 1.14-7.02). Likewise, younger age (<30 years) for both parents was associated with decreases in Mullen Scales of Early Learning early learning composite (MSEL-ELC) scores (adjusted β = -9.62, 95% CI = -17.1 to -2.15). We also found significant increases in cognitive functioning based on MSEL-ELC scores with increasing paternal age (adjusted β associated with a 10-year increase in paternal age = 5.51, 95% CI = 0.70-10.3). Results suggest the potential for a different relationship between parental age and ASD-related outcomes in families with elevated ASD risk than has been observed in general population samples. Autism Res 2020, 13: 998-1010. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Previous work suggests that older parents have a greater likelihood of having a child with autism. We investigated this relationship in the younger siblings of families who already had a child with autism. In this setting, we found a higher likelihood of autism, as well as poorer cognitive scores, in the siblings with younger fathers, and higher cognitive scores in the siblings with older parents. These results suggest that parental age associations may differ based on children's familial risk for autism.
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Affiliation(s)
- Kristen Lyall
- AJ Drexel Autism Institute, Drexel University, Philadelphia, Pennsylvania, USA
| | - Lanxin Song
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Kelly Botteron
- Department of Psychiatry, Washington University, St Louis, Missouri, USA
| | - Lisa A Croen
- Kaiser Permanente Division of Research, Oakland, California, USA
| | - Stephen R Dager
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - M Daniele Fallin
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Heather C Hazlett
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Elizabeth Kauffman
- AJ Drexel Autism Institute, Drexel University, Philadelphia, Pennsylvania, USA
| | - Rebecca Landa
- Department of Psychiatry and Behavioral Sciences, Center for Autism and Related Disorders, Kennedy Krieger Institute, Johns Hopkins University, Baltimore, Maryland, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | | | - Sally Ozonoff
- MIND Institute, Department of Psychiatry and Behavioral Sciences, University of California Davis, Sacramento, California, USA
| | - Juhi Pandey
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Rebecca J Schmidt
- Department of Public Health, University of California Davis, Davis, California, USA
- MIND Institute, University of California Davis, Sacramento, California, USA
| | - Robert T Schultz
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Wendy L Stone
- Department of Psychology, University of Washington, Seattle, Washington, USA
| | - Craig J Newschaffer
- College of Health and Human Development, Pennsylvania State University, State College, Pennsylvania, USA
| | - Heather E Volk
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
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25
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Eggebrecht AT, Elison JT, Feczko E, Todorov A, Wolff JJ, Kandala S, Adams CM, Snyder AZ, Lewis JD, Estes AM, Zwaigenbaum L, Botteron KN, McKinstry RC, Constantino JN, Evans A, Hazlett HC, Dager S, Paterson SJ, Schultz RT, Styner MA, Gerig G, Das S, Kostopoulos P, Schlaggar BL, Petersen SE, Piven J, Pruett JR. Corrigendum: Joint Attention and Brain Functional Connectivity in Infants and Toddlers. Cereb Cortex 2020; 30:3433-3434. [DOI: 10.1093/cercor/bhaa092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 11/04/2019] [Accepted: 01/07/2020] [Indexed: 11/14/2022] Open
Affiliation(s)
- Adam T Eggebrecht
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN 55455, USA
| | - Eric Feczko
- Department of Behavioral Neuroscience, Oregon Health & Sciences, Portland, OR 97239, USA
| | - Alexandre Todorov
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Sridhar Kandala
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Chloe M Adams
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Abraham Z Snyder
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - John D Lewis
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Annette M Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA 98195, USA
| | - Lonnie Zwaigenbaum
- Department of Psychiatry, University of Alberta, 1E1 Walter Mackenzie Health Sciences Centre (WMC), Edmonton, AB T6G 2B7, Canada
| | - Kelly N Botteron
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110, USA
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - John N Constantino
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Alan Evans
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Heather C Hazlett
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Stephen Dager
- Department of Radiology, University of Washington, Seattle, WA 98195, USA
| | - Sarah J Paterson
- The Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
| | - Robert T Schultz
- The Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Martin A Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Guido Gerig
- Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA
| | - Samir Das
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Penelope Kostopoulos
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Bradley L Schlaggar
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Steven E Petersen
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - John R Pruett
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
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26
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Schmied A, Soda T, Gerig G, Styner M, Swanson MR, Elison JT, Shen MD, McKinstry RC, Pruett JR, Botteron KN, Estes AM, Dager SR, Hazlett HC, Schultz RT, Piven J, Wolff JJ. Sex differences associated with corpus callosum development in human infants: A longitudinal multimodal imaging study. Neuroimage 2020; 215:116821. [PMID: 32276067 DOI: 10.1016/j.neuroimage.2020.116821] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 02/21/2020] [Accepted: 03/27/2020] [Indexed: 02/02/2023] Open
Abstract
The corpus callosum (CC) is the largest connective pathway in the human brain, linking cerebral hemispheres. There is longstanding debate in the scientific literature whether sex differences are evident in this structure, with many studies indicating the structure is larger in females. However, there are few data pertaining to this issue in infancy, during which time the most rapid developmental changes to the CC occur. In this study, we examined longitudinal brain imaging data collected from 104 infants at ages 6, 12, and 24 months. We identified sex differences in brain-size adjusted CC area and thickness characterized by a steeper rate of growth in males versus females from ages 6-24 months. In contrast to studies of older children and adults, CC size was larger for male compared to female infants. Based on diffusion tensor imaging data, we found that CC thickness is significantly associated with underlying microstructural organization. However, we observed no sex differences in the association between microstructure and thickness, suggesting that the role of factors such as axon density and/or myelination in determining CC size is generally equivalent between sexes. Finally, we found that CC length was negatively associated with nonverbal ability among females.
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Affiliation(s)
- Astrid Schmied
- Department of Educational Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Takahiro Soda
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Guido Gerig
- Department of Computer Science & Engineering, New York University, New York City, NY, USA
| | - Martin Styner
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Meghan R Swanson
- School of Behavioral & Brain Sciences, University of Texas at Dallas, Richardson, TX, USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - Mark D Shen
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - John R Pruett
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Kelly N Botteron
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Annette M Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA
| | - Stephen R Dager
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Heather C Hazlett
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Robert T Schultz
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA, USA
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, MN, USA.
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27
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Girault JB, Swanson MR, Meera SS, Grzadzinski RL, Shen MD, Burrows CA, Wolff JJ, Pandey J, John TS, Estes A, Zwaigenbaum L, Botteron KN, Hazlett HC, Dager SR, Schultz RT, Constantino JN, Piven J. Quantitative trait variation in ASD probands and toddler sibling outcomes at 24 months. J Neurodev Disord 2020; 12:5. [PMID: 32024459 PMCID: PMC7003330 DOI: 10.1186/s11689-020-9308-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 01/21/2020] [Indexed: 12/28/2022] Open
Abstract
Background Younger siblings of children with autism spectrum disorder (ASD) are at increased likelihood of receiving an ASD diagnosis and exhibiting other developmental concerns. It is unknown how quantitative variation in ASD traits and broader developmental domains in older siblings with ASD (probands) may inform outcomes in their younger siblings. Methods Participants included 385 pairs of toddler siblings and probands from the Infant Brain Imaging Study. ASD probands (mean age 5.5 years, range 1.7 to 15.5 years) were phenotyped using the Autism Diagnostic Interview-Revised (ADI-R), the Social Communication Questionnaire (SCQ), and the Vineland Adaptive Behavior Scales, Second Edition (VABS-II). Siblings were assessed using the ADI-R, VABS-II, Mullen Scales of Early Learning (MSEL), and Autism Diagnostic Observation Schedule (ADOS) and received a clinical best estimate diagnosis at 24 months using DSM-IV-TR criteria (n = 89 concordant for ASD; n = 296 discordant). We addressed two aims: (1) to determine whether proband characteristics are predictive of recurrence in siblings and (2) to assess associations between proband traits and sibling dimensional outcomes at 24 months. Results Regarding recurrence risk, proband SCQ scores were found to significantly predict sibling 24-month diagnostic outcome (OR for a 1-point increase in SCQ = 1.06; 95% CI = 1.01, 1.12). Regarding quantitative trait associations, we found no significant correlations in ASD traits among proband-sibling pairs. However, quantitative variation in proband adaptive behavior, communication, and expressive and receptive language was significantly associated with sibling outcomes in the same domains; proband scores explained 9–18% of the variation in cognition and behavior in siblings with ASD. Receptive language was particularly strongly associated in concordant pairs (ICC = 0.50, p < 0.001). Conclusions Proband ASD symptomology, indexed by the SCQ, is a predictor of familial ASD recurrence risk. While quantitative variation in social communication and restricted and repetitive behavior were not associated among sibling pairs, standardized ratings of proband language and communication explained significant variation in the same domains in the sibling at 24 months, especially among toddlers with an ASD diagnosis. These data suggest that proband characteristics can alert clinicians to areas of developmental concern for young children with familial risk for ASD.
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Affiliation(s)
- Jessica B Girault
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Campus Box 3376, Chapel Hill, NC, 27599, USA.
| | - Meghan R Swanson
- Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA
| | - Shoba S Meera
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Campus Box 3376, Chapel Hill, NC, 27599, USA.,National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Rebecca L Grzadzinski
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Campus Box 3376, Chapel Hill, NC, 27599, USA
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Campus Box 3376, Chapel Hill, NC, 27599, USA.,Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Juhi Pandey
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Tanya St John
- Department of Speech and Hearing Science, University of Washington, Seattle, WA, USA
| | - Annette Estes
- Department of Speech and Hearing Science, University of Washington, Seattle, WA, USA
| | | | - Kelly N Botteron
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Campus Box 3376, Chapel Hill, NC, 27599, USA.,Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Stephen R Dager
- Department of Radiology, University of Washington Medical Center, Seattle, WA, USA
| | - Robert T Schultz
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - John N Constantino
- Division of Child Psychiatry, Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Campus Box 3376, Chapel Hill, NC, 27599, USA.,Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Abstract
BACKGROUND Early intervention is a valuable tool to support the development of toddlers with neurodevelopmental disorders. With recent research advances in early identification that allow for pre-symptomatic detection of autism in infancy, scientists are looking forward to intervention during infancy. These advances may be supported by the identification of biologically based treatment and outcome measures that are sensitive and dimensional. The purpose of this review is to evaluate white matter neurodevelopment as a monitoring biomarker for early treatment of neurodevelopmental disorders. Fragile X syndrome (FXS) and autism spectrum disorder (ASD) as used as exemplars. White matter has unique neurobiology, including a prolonged period of dynamic development. This developmental pattern may make white matter especially responsive to treatment. White matter develops aberrantly in children with ASD and FXS. Histologic studies in rodents have provided targets for FXS pharmacological intervention. However, pharmaceutical clinical trials in humans failed to garner positive clinical results. In this article, we argue that the use of neurobiological monitoring biomarkers may overcome some of these limitations, as they are objective, not susceptible to placebo effects, and are dimensional in nature. SHORT CONCLUSION As the field moves towards earlier detection and early intervention for neurodevelopmental disorders, we encourage scientists to consider the advantages of using neurobiological features as monitoring biomarkers.
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Affiliation(s)
- Meghan R Swanson
- School of Behavioral and Brain Sciences, University of Texas at Dallas, GR41, 800 W. Campbell Road, Richardson, TX, 75080-3021, USA.
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities, Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, 27599, NC, USA
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29
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Paterson SJ, Wolff JJ, Elison JT, Winder-Patel B, Zwaigenbaum L, Estes A, Pandey J, Schultz RT, Botteron K, Dager SR, Hazlett HC, Piven J. The Importance of Temperament for Understanding Early Manifestations of Autism Spectrum Disorder in High-Risk Infants. J Autism Dev Disord 2019; 49:2849-2863. [DOI: 10.1007/s10803-019-04003-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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30
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Wolff JJ, Dimian AF, Botteron KN, Dager SR, Elison JT, Estes AM, Hazlett HC, Schultz RT, Zwaigenbaum L, Piven J. A longitudinal study of parent-reported sensory responsiveness in toddlers at-risk for autism. J Child Psychol Psychiatry 2019; 60:314-324. [PMID: 30350375 PMCID: PMC8919956 DOI: 10.1111/jcpp.12978] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/15/2018] [Indexed: 01/03/2023]
Abstract
BACKGROUND Atypical sensory responsivity and sensory interests are now included in the DSM 5 diagnostic criteria for autism spectrum disorder (ASD) under the broad domain of restricted and repetitive behavior (RRB). However, relatively little is known about the emergence of sensory-related features and their relation to conventionally defined RRB in the first years of life. METHODS Prospective, longitudinal parent-report data using the Sensory Experiences Questionnaire (SEQ) were collected for 331 high-risk toddlers (74 of whom met diagnostic criteria for ASD at age 2) and 135 low-risk controls. Longitudinal profiles for SEQ scores were compared between groups across ages 12-24 months. Associations between SEQ measures and measures of RRB subtypes (based on the Repetitive Behavior Scale, Revised) were also examined. RESULTS Longitudinal profiles for all SEQ scores significantly differed between groups. SEQ scores were elevated for the ASD group from age 12 months, with differences becoming more pronounced across the 12-24 month interval. At both 12 and 24 months, most measures derived from the SEQ were significantly associated with all subtypes of RRB. CONCLUSIONS These findings suggest that differences in sensory responsivity may be evident in high-risk infants later diagnosed with ASD in early toddlerhood, and that the magnitude of these differences increases over the second year of life. The high degree of association between SEQ scores and RRB supports the conceptual alignment of these features but also raises questions as to explanatory mechanisms.
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Affiliation(s)
- Jason J. Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Adele F. Dimian
- Institute on Community Integration, University of Minnesota, Minneapolis, MN, USA
| | - Kelly N. Botteron
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Stephen R. Dager
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Jed T. Elison
- Institute of Child Development, University of Minnesota, MN, USA
| | - Annette M. Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA
| | - Heather C. Hazlett
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA,Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC, USA
| | - Robert T. Schultz
- Center for Autism Research, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Joseph Piven
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA,Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC, USA
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31
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McKinnon CJ, Eggebrecht AT, Todorov A, Wolff JJ, Elison JT, Adams CM, Snyder AZ, Estes AM, Zwaigenbaum L, Botteron KN, McKinstry RC, Marrus N, Evans A, Hazlett HC, Dager SR, Paterson SJ, Pandey J, Schultz RT, Styner MA, Gerig G, Schlaggar BL, Petersen SE, Piven J, Pruett JR. Restricted and Repetitive Behavior and Brain Functional Connectivity in Infants at Risk for Developing Autism Spectrum Disorder. Biol Psychiatry Cogn Neurosci Neuroimaging 2019; 4:50-61. [PMID: 30446435 PMCID: PMC6557405 DOI: 10.1016/j.bpsc.2018.09.008] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Accepted: 09/01/2018] [Indexed: 11/23/2022]
Abstract
BACKGROUND Restricted and repetitive behaviors (RRBs), detectable by 12 months in many infants in whom autism spectrum disorder (ASD) is later diagnosed, may represent some of the earliest behavioral markers of ASD. However, brain function underlying the emergence of these key behaviors remains unknown. METHODS Behavioral and resting-state functional connectivity (fc) magnetic resonance imaging data were collected from 167 children at high and low familial risk for ASD at 12 and 24 months (n = 38 at both time points). Twenty infants met criteria for ASD at 24 months. We divided RRBs into four subcategories (restricted, stereotyped, ritualistic/sameness, self-injurious) and used a data-driven approach to identify functional brain networks associated with the development of each RRB subcategory. RESULTS Higher scores for ritualistic/sameness behavior were associated with less positive fc between visual and control networks at 12 and 24 months. Ritualistic/sameness and stereotyped behaviors were associated with less positive fc between visual and default mode networks at 12 months. At 24 months, stereotyped and restricted behaviors were associated with more positive fc between default mode and control networks. Additionally, at 24 months, stereotyped behavior was associated with more positive fc between dorsal attention and subcortical networks, whereas restricted behavior was associated with more positive fc between default mode and dorsal attention networks. No significant network-level associations were observed for self-injurious behavior. CONCLUSIONS These observations mark the earliest known description of functional brain systems underlying RRBs, reinforce the construct validity of RRB subcategories in infants, and implicate specific neural substrates for future interventions targeting RRBs.
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Affiliation(s)
- Claire J McKinnon
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri; Biological Sciences Division, University of Chicago, Chicago, Illinois.
| | - Adam T Eggebrecht
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Alexandre Todorov
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, Minnesota
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, Minnesota
| | - Chloe M Adams
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Abraham Z Snyder
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Annette M Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, Washington
| | | | - Kelly N Botteron
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Natasha Marrus
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Alan Evans
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Heather C Hazlett
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carborro, North Carolina
| | - Stephen R Dager
- Department of Radiology and Bioengineering, University of Washington, Seattle, Washington
| | - Sarah J Paterson
- Department of Psychology, Temple University, Philadelphia, Pennsylvania
| | - Juhi Pandey
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Robert T Schultz
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Martin A Styner
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carborro, North Carolina
| | - Guido Gerig
- Tandon School of Engineering, New York University, Brooklyn, New York
| | - Bradley L Schlaggar
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri; Department of Neurology, Washington University School of Medicine, St. Louis, Missouri; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Steven E Petersen
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri; Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri
| | - Joseph Piven
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carborro, North Carolina
| | - John R Pruett
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
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32
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Marrus N, Hall LP, Paterson SJ, Elison JT, Wolff JJ, Swanson MR, Parish-Morris J, Eggebrecht AT, Pruett JR, Hazlett HC, Zwaigenbaum L, Dager S, Estes AM, Schultz RT, Botteron KN, Piven J, Constantino JN. Language delay aggregates in toddler siblings of children with autism spectrum disorder. J Neurodev Disord 2018; 10:29. [PMID: 30348077 PMCID: PMC6198516 DOI: 10.1186/s11689-018-9247-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 09/20/2018] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Language delay is extremely common in children with autism spectrum disorder (ASD), yet it is unclear whether measurable variation in early language is associated with genetic liability for ASD. Assessment of language development in unaffected siblings of children with ASD can inform whether decreased early language ability aggregates with inherited risk for ASD and serves as an ASD endophenotype. METHODS We implemented two approaches: (1) a meta-analysis of studies comparing language delay, a categorical indicator of language function, and language scores, a continuous metric, in unaffected toddlers at high and low familial risk for ASD, and (2) a parallel analysis of 350 unaffected 24-month-olds in the Infant Brain Imaging Study (IBIS), a prospective study of infants at high and low familial risk for ASD. An advantage of the former was its detection of group differences from pooled data across unique samples; an advantage of the latter was its sensitivity in quantifying early manifestations of language delay while accounting for covariates within a single large sample. RESULTS Meta-analysis showed that high-risk siblings without ASD (HR-noASD) were three to four times more likely to exhibit language delay versus low-risk siblings without ASD (LR-noASD) and had lower mean receptive and expressive language scores. Analyses of IBIS data corroborated that language delay, specifically receptive language delay, was more frequent in the HR-noASD (n = 235) versus LR-noASD group (n = 115). IBIS language scores were continuously and unimodally distributed, with a pathological shift towards decreased language function in HR-noASD siblings. The elevated inherited risk for ASD was associated with lower receptive and expressive language scores when controlling for sociodemographic factors. For receptive but not expressive language, the effect of risk group remained significant even when controlling for nonverbal cognition. CONCLUSIONS Greater frequency of language delay and a lower distribution of language scores in high-risk, unaffected toddler-aged siblings support decreased early language ability as an endophenotype for ASD, with a more pronounced effect for receptive versus expressive language. Further characterization of language development is warranted to refine genetic investigations of ASD and to elucidate factors influencing the progression of core autistic traits and related symptoms.
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Affiliation(s)
- N Marrus
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, Box 8504, St Louis, MO 63110 USA
| | - L P Hall
- Department of Psychology, St. Jude Children’s Research Hospital, 262 Danny Thomas Place, Mail Stop 740, Memphis, TN 38105 USA
| | - S J Paterson
- Department of Psychology, Temple University, 1801 N. Broad St, Philadelphia, PA 19122 USA
| | - J T Elison
- Institute of Child Development, University of Minnesota, 51 East River Parkway, Minneapolis, MN 55455 USA
| | - J J Wolff
- Department of Educational Psychology, University of Minnesota, 56 East River Road, Minneapolis, MN 55455 USA
| | - M R Swanson
- Department of Psychiatry, University of North Carolina at Chapel Hill, 101 Manning Dr, Chapel Hill, NC 27514 USA
| | - J Parish-Morris
- Children’s Hospital of Philadelphia, University of Pennsylvania, Civic Center Blvd, Philadelphia, PA 19104 USA
| | - A T Eggebrecht
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 660 S. Euclid Ave, St Louis, MO 63110 USA
| | - J R Pruett
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, Box 8504, St Louis, MO 63110 USA
| | - H C Hazlett
- Department of Psychiatry, University of North Carolina at Chapel Hill, 101 Manning Dr, Chapel Hill, NC 27514 USA
| | - L Zwaigenbaum
- Department of Pediatrics, University of Alberta, 1E1 Walter Mackenzie Health Sciences Centre (WMC), 8440 112 St NW, Edmonton, AB T6G 2B7 Canada
| | - S Dager
- Department of Radiology, University of Washington, Seattle, 1410 NE Campus Parkway, Seattle, WA 98195 USA
| | - A M Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, 1701 NE Columbia Rd, Seattle, WA 98195-7920 USA
| | - R T Schultz
- Children’s Hospital of Philadelphia, University of Pennsylvania, Civic Center Blvd, Philadelphia, PA 19104 USA
| | - K N Botteron
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, Box 8504, St Louis, MO 63110 USA
| | - J Piven
- Department of Psychiatry, University of North Carolina at Chapel Hill, 101 Manning Dr, Chapel Hill, NC 27514 USA
| | - J N Constantino
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, Box 8504, St Louis, MO 63110 USA
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Dalrymple KA, Wall N, Spezio M, Hazlett HC, Piven J, Elison JT. Rapid face orienting in infants and school-age children with and without autism: Exploring measurement invariance in eye-tracking. PLoS One 2018; 13:e0202875. [PMID: 30153278 PMCID: PMC6112675 DOI: 10.1371/journal.pone.0202875] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Accepted: 08/12/2018] [Indexed: 01/22/2023] Open
Abstract
Questions concerning the ontogenetic stability of autism have recently received increased attention as long-term longitudinal studies have appeared in the literature. Most experimental measures are designed for specific ages and functioning levels, yet developing experimental tasks appropriate for a wide range of ages and functioning levels is critical for future long-term longitudinal studies, and treatment studies implemented at different ages. Accordingly, we designed an eye-tracking task to measure preferential orienting to facial features and implemented it with groups of participants with varying levels of functioning: infants, and school-age children with and without autism. All groups fixated eyes first, revealing an early and stable orienting bias. This indicates common bias towards the eyes across participants regardless of age or diagnosis. We also demonstrate that this eye-tracking task can be used with diverse populations who range in age and cognitive functioning. Our developmental approach has conceptual implications for future work focused on task development and particularly new experimental measures that offer measurement equivalence across broad age ranges, intellectual functioning and verbal abilities.
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Affiliation(s)
- Kirsten A. Dalrymple
- Institute of Child Development, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Natalie Wall
- Institute of Child Development, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Michael Spezio
- Psychology and Neuroscience, Scripps College, Claremont, California, United States of America
- Institute for Systems Neuroscience, University Medical Center, Eppendorf, Hamburg, Germany
| | - Heather C. Hazlett
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, North Carolina, United States of America
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, North Carolina, United States of America
| | - Jed T. Elison
- Institute of Child Development, University of Minnesota, Minneapolis, Minnesota, United States of America
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34
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Swanson MR, Wolff JJ, Shen MD, Styner M, Estes A, Gerig G, McKinstry RC, Botteron KN, Piven J, Hazlett HC. Development of White Matter Circuitry in Infants With Fragile X Syndrome. JAMA Psychiatry 2018; 75:505-513. [PMID: 29617515 PMCID: PMC6026861 DOI: 10.1001/jamapsychiatry.2018.0180] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
IMPORTANCE Fragile X syndrome (FXS) is a genetic neurodevelopmental disorder and the most common inherited cause of intellectual disability in males. However, there are no published data on brain development in children with FXS during infancy. OBJECTIVE To characterize the development of white matter at ages 6, 12, and 24 months in infants with FXS compared with that of typically developing controls. DESIGN, SETTING, AND PARTICIPANTS Longitudinal behavioral and brain imaging data were collected at 1 or more time points from 27 infants with FXS and 73 typically developing controls between August 1, 2008, and June 14, 2016, at 2 academic medical centers. Infants in the control group had no first- or second-degree relatives with intellectual or psychiatric disorders, including FXS and autism spectrum disorder. MAIN OUTCOMES AND MEASURES Nineteen major white matter pathways were defined in common atlas space based on anatomically informed methods. Diffusion parameters, including fractional anisotropy, were compared between groups using linear mixed effects modeling. Fiber pathways showing group differences were subsequently examined in association with direct measures of verbal and nonverbal development. RESULTS There were significant differences in the development of 12 of 19 fiber tracts between the 27 infants with FXS (22 boys and 5 girls) and the 73 infants in the control group (46 boys and 27 girls), with lower fractional anisotropy in bilateral subcortical-frontal, occipital-temporal, temporal-frontal, and cerebellar-thalamic pathways, as well as 4 of 6 subdivisions of the corpus callosum. For all 12 of these pathways, there were significant main effects between groups but not for the interaction of age × group, indicating that lower fractional anisotropy was present and stable from age 6 months in infants with FXS. Lower fractional anisotropy values in the uncinate fasciculi were correlated with lower nonverbal developmental quotient in the FXS group (left uncinate, F = 10.06; false discovery rate-corrected P = .03; right uncinate, F = 21.8; P = .004). CONCLUSIONS AND RELEVANCE The results substantiate in human infants the essential role of fragile X gene expression in the early development of white matter. The findings also suggest that the neurodevelopmental effects of FXS are well established at 6 months of age.
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Affiliation(s)
- Meghan R. Swanson
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill
| | - Jason J. Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis
| | - Mark D. Shen
- Department of Psychiatry, University of North Carolina at Chapel Hill
| | - Martin Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill,Department of Computer Science, University of North Carolina at Chapel Hill
| | - Annette Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle
| | - Guido Gerig
- Department of Computer Science and Engineering, New York University, Brooklyn
| | - Robert C. McKinstry
- Mallinckrodt Institute of Radiology, Washington University in St Louis, St Louis, Missouri
| | - Kelly N. Botteron
- Department of Psychiatry, Washington University in St Louis, St Louis, Missouri,Department of Radiology, Washington University in St Louis, St Louis, Missouri
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina at Chapel Hill
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35
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Marrus N, Eggebrecht AT, Todorov A, Elison JT, Wolff JJ, Cole L, Gao W, Pandey J, Shen MD, Swanson MR, Emerson RW, Klohr CL, Adams CM, Estes AM, Zwaigenbaum L, Botteron KN, McKinstry RC, Constantino JN, Evans AC, Hazlett HC, Dager SR, Paterson SJ, Schultz RT, Styner MA, Gerig G, Schlaggar BL, Piven J, Pruett JR. Walking, Gross Motor Development, and Brain Functional Connectivity in Infants and Toddlers. Cereb Cortex 2018; 28:750-763. [PMID: 29186388 PMCID: PMC6057546 DOI: 10.1093/cercor/bhx313] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Revised: 10/29/2017] [Accepted: 11/01/2017] [Indexed: 11/14/2022] Open
Abstract
Infant gross motor development is vital to adaptive function and predictive of both cognitive outcomes and neurodevelopmental disorders. However, little is known about neural systems underlying the emergence of walking and general gross motor abilities. Using resting state fcMRI, we identified functional brain networks associated with walking and gross motor scores in a mixed cross-sectional and longitudinal cohort of infants at high and low risk for autism spectrum disorder, who represent a dimensionally distributed range of motor function. At age 12 months, functional connectivity of motor and default mode networks was correlated with walking, whereas dorsal attention and posterior cingulo-opercular networks were implicated at age 24 months. Analyses of general gross motor function also revealed involvement of motor and default mode networks at 12 and 24 months, with dorsal attention, cingulo-opercular, frontoparietal, and subcortical networks additionally implicated at 24 months. These findings suggest that changes in network-level brain-behavior relationships underlie the emergence and consolidation of walking and gross motor abilities in the toddler period. This initial description of network substrates of early gross motor development may inform hypotheses regarding neural systems contributing to typical and atypical motor outcomes, as well as neurodevelopmental disorders associated with motor dysfunction.
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Affiliation(s)
- Natasha Marrus
- Department of Psychiatry,Washington University School of Medicine, 660 S Euclid Ave, St Louis, MO 63110, USA
| | - Adam T Eggebrecht
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 660 S Euclid Ave, St Louis, MO 63110, USA
| | - Alexandre Todorov
- Department of Psychiatry,Washington University School of Medicine, 660 S Euclid Ave, St Louis, MO 63110, USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, 51 East River Parkway, Minneapolis, MN 55455,USA
| | - Jason J Wolff
- Department of Educational Psychology,University of Minnesota, 56 East River Road, Minneapolis, MN 55455, USA
| | - Lyndsey Cole
- Department of Psychiatry,Washington University School of Medicine, 660 S Euclid Ave, St Louis, MO 63110, USA
| | - Wei Gao
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048, USA
| | - Juhi Pandey
- Children’s Hospital of Philadelphia,University of Pennsylvania, Civic Center Blvd, Philadelphia, PA 19104,USA
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, 101 Manning Dr, Chapel Hill, NC 27514, USA
| | - Meghan R Swanson
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, 101 Manning Dr, Chapel Hill, NC 27514, USA
| | - Robert W Emerson
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, 101 Manning Dr, Chapel Hill, NC 27514, USA
| | - Cheryl L Klohr
- Department of Psychiatry,Washington University School of Medicine, 660 S Euclid Ave, St Louis, MO 63110, USA
| | - Chloe M Adams
- Department of Psychiatry,Washington University School of Medicine, 660 S Euclid Ave, St Louis, MO 63110, USA
| | - Annette M Estes
- Department of Speech and Hearing Sciences, University of Washington, 1701 NE Columbia Rd., Seattle, WA 98195-7920, USA
| | - Lonnie Zwaigenbaum
- Department of Psychiatry, University of Alberta, 1E1 Walter Mackenzie Health Sciences Centre (WMC), 8440 112 St NW, Edmonton, Alberta, Canada T6G 2B7
| | - Kelly N Botteron
- Department of Psychiatry,Washington University School of Medicine, 660 S Euclid Ave, St Louis, MO 63110, USA
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 660 S Euclid Ave, St Louis, MO 63110, USA
| | - John N Constantino
- Department of Psychiatry,Washington University School of Medicine, 660 S Euclid Ave, St Louis, MO 63110, USA
| | - Alan C Evans
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, 3801 University St, Montreal, Quebec, Canada H3A 2B4
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, 101 Manning Dr, Chapel Hill, NC 27514, USA
| | - Stephen R Dager
- Department of Radiology, University of Washington, 1410 NE Campus Parkway, Seattle, WA 98195,USA
| | - Sarah J Paterson
- Department of Psychology, Temple University, 1801 N. Broad St., Philadelphia, PA 19122,USA
| | - Robert T Schultz
- Children’s Hospital of Philadelphia,University of Pennsylvania, Civic Center Blvd, Philadelphia, PA 19104,USA
| | - Martin A Styner
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, 101 Manning Dr, Chapel Hill, NC 27514, USA
| | - Guido Gerig
- Tandon School of Engineering, New York University, 6 Metro Tech Center, Brooklyn, NY 11201, USA
| | | | - Bradley L Schlaggar
- Department of Neurology, Washington University School of Medicine, 660 S. Euclid Ave, St Louis, MO 63110,USA
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, 101 Manning Dr, Chapel Hill, NC 27514, USA
| | - John R Pruett
- Department of Psychiatry,Washington University School of Medicine, 660 S Euclid Ave, St Louis, MO 63110, USA
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36
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Mitra A, Snyder AZ, Tagliazucchi E, Laufs H, Elison J, Emerson RW, Shen MD, Wolff JJ, Botteron KN, Dager S, Estes AM, Evans A, Gerig G, Hazlett HC, Paterson SJ, Schultz RT, Styner MA, Zwaigenbaum L, Schlaggar BL, Piven J, Pruett JR, Raichle M. Resting-state fMRI in sleeping infants more closely resembles adult sleep than adult wakefulness. PLoS One 2017; 12:e0188122. [PMID: 29149191 PMCID: PMC5693436 DOI: 10.1371/journal.pone.0188122] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Accepted: 11/01/2017] [Indexed: 11/19/2022] Open
Abstract
Resting state functional magnetic resonance imaging (rs-fMRI) in infants enables important studies of functional brain organization early in human development. However, rs-fMRI in infants has universally been obtained during sleep to reduce participant motion artifact, raising the question of whether differences in functional organization between awake adults and sleeping infants that are commonly attributed to development may instead derive, at least in part, from sleep. This question is especially important as rs-fMRI differences in adult wake vs. sleep are well documented. To investigate this question, we compared functional connectivity and BOLD signal propagation patterns in 6, 12, and 24 month old sleeping infants with patterns in adult wakefulness and non-REM sleep. We find that important functional connectivity features seen during infant sleep closely resemble those seen during adult sleep, including reduced default mode network functional connectivity. However, we also find differences between infant and adult sleep, especially in thalamic BOLD signal propagation patterns. These findings highlight the importance of considering sleep state when drawing developmental inferences in infant rs-fMRI.
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Affiliation(s)
- Anish Mitra
- Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
- * E-mail:
| | - Abraham Z. Snyder
- Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
- Department of Neurology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Enzo Tagliazucchi
- Departamento de Fisica, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Helmut Laufs
- Department of Neurology, Christian-Albrechts-University Kiel, Germany
| | - Jed Elison
- Institute of Child Development, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Robert W. Emerson
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Mark D. Shen
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Jason J. Wolff
- Institute of Child Development, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Kelly N. Botteron
- Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Stephen Dager
- Department of Radiology, University of Washington, Seattle, Washington, United States of America
| | - Annette M. Estes
- Department of Psychology, University of Washington, Seattle, Washington, United States of America
| | - Alan Evans
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Guido Gerig
- Department of Psychiatry, New York University, New York, New York, United States of America
| | - Heather C. Hazlett
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Sarah J. Paterson
- Department of Pediatrics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Robert T. Schultz
- Department of Pediatrics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Martin A. Styner
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Lonnie Zwaigenbaum
- Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
| | | | - Bradley L. Schlaggar
- Department of Neurology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - John R. Pruett
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Marcus Raichle
- Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
- Department of Neurology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
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37
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Lewis JD, Evans AC, Pruett JR, Botteron KN, McKinstry RC, Zwaigenbaum L, Estes AM, Collins DL, Kostopoulos P, Gerig G, Dager SR, Paterson S, Schultz RT, Styner MA, Hazlett HC, Piven J. The Emergence of Network Inefficiencies in Infants With Autism Spectrum Disorder. Biol Psychiatry 2017; 82:176-185. [PMID: 28460842 PMCID: PMC5524449 DOI: 10.1016/j.biopsych.2017.03.006] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Revised: 02/27/2017] [Accepted: 03/09/2017] [Indexed: 11/29/2022]
Abstract
BACKGROUND Autism spectrum disorder (ASD) is a developmental disorder defined by behavioral features that emerge during the first years of life. Research indicates that abnormalities in brain connectivity are associated with these behavioral features. However, the inclusion of individuals past the age of onset of the defining behaviors complicates interpretation of the observed abnormalities: they may be cascade effects of earlier neuropathology and behavioral abnormalities. Our recent study of network efficiency in a cohort of 24-month-olds at high and low familial risk for ASD reduced this confound; we reported reduced network efficiencies in toddlers classified with ASD. The current study maps the emergence of these inefficiencies in the first year of life. METHODS This study uses data from 260 infants at 6 and 12 months of age, including 116 infants with longitudinal data. As in our earlier study, we use diffusion data to obtain measures of the length and strength of connections between brain regions to compute network efficiency. We assess group differences in efficiency within linear mixed-effects models determined by the Akaike information criterion. RESULTS Inefficiencies in high-risk infants later classified with ASD were detected from 6 months onward in regions involved in low-level sensory processing. In addition, within the high-risk infants, these inefficiencies predicted 24-month symptom severity. CONCLUSIONS These results suggest that infants with ASD, even before 6 months of age, have deficits in connectivity related to low-level processing, which contribute to a developmental cascade affecting brain organization and eventually higher-level cognitive processes and social behavior.
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Affiliation(s)
- John D Lewis
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
| | - Alan C Evans
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - John R Pruett
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, Missouri; Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri
| | - Kelly N Botteron
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, Missouri; Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri
| | - Robert C McKinstry
- Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri
| | - Lonnie Zwaigenbaum
- Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
| | - Annette M Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, Washington
| | - D Louis Collins
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | | | - Guido Gerig
- Tandon School of Engineering, New York University, Brooklyn, New York
| | - Stephen R Dager
- Department of Radiology, University of Washington, Seattle, Washington
| | - Sarah Paterson
- Center for Autism Research, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Robert T Schultz
- Center for Autism Research, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Martin A Styner
- Department of Computer Science, University of North Carolina, Chapel Hill, North Carolina; Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, North Carolina
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, North Carolina
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, North Carolina
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38
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Eggebrecht AT, Elison JT, Feczko E, Todorov A, Wolff JJ, Kandala S, Adams CM, Snyder AZ, Lewis JD, Estes AM, Zwaigenbaum L, Botteron KN, McKinstry RC, Constantino JN, Evans A, Hazlett HC, Dager S, Paterson SJ, Schultz RT, Styner MA, Gerig G, Das S, Kostopoulos P, Schlaggar BL, Petersen SE, Piven J, Pruett JR. Joint Attention and Brain Functional Connectivity in Infants and Toddlers. Cereb Cortex 2017; 27:1709-1720. [PMID: 28062515 PMCID: PMC5452276 DOI: 10.1093/cercor/bhw403] [Citation(s) in RCA: 82] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Accepted: 12/20/2016] [Indexed: 01/16/2023] Open
Abstract
Initiating joint attention (IJA), the behavioral instigation of coordinated focus of 2 people on an object, emerges over the first 2 years of life and supports social-communicative functioning related to the healthy development of aspects of language, empathy, and theory of mind. Deficits in IJA provide strong early indicators for autism spectrum disorder, and therapies targeting joint attention have shown tremendous promise. However, the brain systems underlying IJA in early childhood are poorly understood, due in part to significant methodological challenges in imaging localized brain function that supports social behaviors during the first 2 years of life. Herein, we show that the functional organization of the brain is intimately related to the emergence of IJA using functional connectivity magnetic resonance imaging and dimensional behavioral assessments in a large semilongitudinal cohort of infants and toddlers. In particular, though functional connections spanning the brain are involved in IJA, the strongest brain-behavior associations cluster within connections between a small subset of functional brain networks; namely between the visual network and dorsal attention network and between the visual network and posterior cingulate aspects of the default mode network. These observations mark the earliest known description of how functional brain systems underlie a burgeoning fundamental social behavior, may help improve the design of targeted therapies for neurodevelopmental disorders, and, more generally, elucidate physiological mechanisms essential to healthy social behavior development.
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Affiliation(s)
- Adam T Eggebrecht
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN 55455, USA
| | - Eric Feczko
- Department of Behavioral Neuroscience, Oregon Health & Sciences, Portland, OR 97239, USA
| | - Alexandre Todorov
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Sridhar Kandala
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Chloe M Adams
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Abraham Z Snyder
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - John D Lewis
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Annette M Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA 98195, USA
| | - Lonnie Zwaigenbaum
- Department of Psychiatry, University of Alberta, 1E1 Walter Mackenzie Health Sciences Centre (WMC), Edmonton, AB T6G 2B7, Canada
| | - Kelly N Botteron
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110, USA.,Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - John N Constantino
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Alan Evans
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Heather C Hazlett
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Stephen Dager
- Department of Radiology, University of Washington, Seattle, WA 98195, USA
| | - Sarah J Paterson
- The Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Psychology, Temple University, Philadelphia, PA 19122, USA
| | - Robert T Schultz
- The Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Martin A Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Guido Gerig
- Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA
| | - Samir Das
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Penelope Kostopoulos
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | | | - Bradley L Schlaggar
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110,USA
| | - Steven E Petersen
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110,USA
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - John R Pruett
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
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39
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Swanson MR, Shen MD, Wolff JJ, Boyd B, Clements M, Rehg J, Elison JT, Paterson S, Parish-Morris J, Chappell JC, Hazlett HC, Emerson RW, Botteron K, Pandey J, Schultz RT, Dager SR, Zwaigenbaum L, Estes AM, Piven J. Naturalistic Language Recordings Reveal "Hypervocal" Infants at High Familial Risk for Autism. Child Dev 2017; 89:e60-e73. [PMID: 28295208 DOI: 10.1111/cdev.12777] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Children's early language environments are related to later development. Little is known about this association in siblings of children with autism spectrum disorder (ASD), who often experience language delays or have ASD. Fifty-nine 9-month-old infants at high or low familial risk for ASD contributed full-day in-home language recordings. High-risk infants produced more vocalizations than low-risk peers; conversational turns and adult words did not differ by group. Vocalization differences were driven by a subgroup of "hypervocal" infants. Despite more vocalizations overall, these infants engaged in less social babbling during a standardized clinic assessment, and they experienced fewer conversational turns relative to their rate of vocalizations. Two ways in which these individual and environmental differences may relate to subsequent development are discussed.
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Affiliation(s)
| | | | | | - Brian Boyd
- University of North Carolina at Chapel Hill
| | | | | | | | - Sarah Paterson
- Temple University.,The Children's Hospital of Philadelphia
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40
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Wolff JJ, Swanson MR, Elison JT, Gerig G, Pruett JR, Styner MA, Vachet C, Botteron KN, Dager SR, Estes AM, Hazlett HC, Schultz RT, Shen MD, Zwaigenbaum L, Piven J. Neural circuitry at age 6 months associated with later repetitive behavior and sensory responsiveness in autism. Mol Autism 2017; 8:8. [PMID: 28316772 PMCID: PMC5351210 DOI: 10.1186/s13229-017-0126-z] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Accepted: 02/25/2017] [Indexed: 01/10/2023] Open
Abstract
Background Restricted and repetitive behaviors are defining features of autism spectrum disorder (ASD). Under revised diagnostic criteria for ASD, this behavioral domain now includes atypical responses to sensory stimuli. To date, little is known about the neural circuitry underlying these features of ASD early in life. Methods Longitudinal diffusion tensor imaging data were collected from 217 infants at high familial risk for ASD. Forty-four of these infants were diagnosed with ASD at age 2. Targeted cortical, cerebellar, and striatal white matter pathways were defined and measured at ages 6, 12, and 24 months. Dependent variables included the Repetitive Behavior Scale-Revised and the Sensory Experiences Questionnaire. Results Among children diagnosed with ASD, repetitive behaviors and sensory response patterns were strongly correlated, even when accounting for developmental level or social impairment. Longitudinal analyses indicated that the genu and cerebellar pathways were significantly associated with both repetitive behaviors and sensory responsiveness but not social deficits. At age 6 months, fractional anisotropy in the genu significantly predicted repetitive behaviors and sensory responsiveness at age 2. Cerebellar pathways significantly predicted later sensory responsiveness. Exploratory analyses suggested a possible disordinal interaction based on diagnostic status for the association between fractional anisotropy and repetitive behavior. Conclusions Our findings suggest that restricted and repetitive behaviors contributing to a diagnosis of ASD at age 2 years are associated with structural properties of callosal and cerebellar white matter pathways measured during infancy and toddlerhood. We further identified that repetitive behaviors and unusual sensory response patterns co-occur and share common brain-behavior relationships. These results were strikingly specific given the absence of association between targeted pathways and social deficits. Electronic supplementary material The online version of this article (doi:10.1186/s13229-017-0126-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, MN USA
| | - Meghan R Swanson
- Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN USA
| | - Guido Gerig
- Tandon School of Engineering, New York University, New York City, NY USA
| | - John R Pruett
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO USA
| | - Martin A Styner
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC USA
| | - Clement Vachet
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT USA
| | - Kelly N Botteron
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO USA
| | - Stephen R Dager
- Department of Radiology, University of Washington, Seattle, WA USA
| | - Annette M Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA USA
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC USA.,Department of Psychiatry, University of North Carolina, Chapel Hill, NC USA
| | - Robert T Schultz
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA USA
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC USA
| | | | - Joseph Piven
- Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC USA.,Department of Psychiatry, University of North Carolina, Chapel Hill, NC USA
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41
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Kim SH, Lyu I, Fonov VS, Vachet C, Hazlett HC, Smith RG, Piven J, Dager SR, Mckinstry RC, Pruett JR, Evans AC, Collins DL, Botteron KN, Schultz RT, Gerig G, Styner MA. Development of cortical shape in the human brain from 6 to 24months of age via a novel measure of shape complexity. Neuroimage 2016; 135:163-76. [PMID: 27150231 DOI: 10.1016/j.neuroimage.2016.04.053] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2015] [Revised: 04/01/2016] [Accepted: 04/24/2016] [Indexed: 10/21/2022] Open
Abstract
The quantification of local surface morphology in the human cortex is important for examining population differences as well as developmental changes in neurodegenerative or neurodevelopmental disorders. We propose a novel cortical shape measure, referred to as the 'shape complexity index' (SCI), that represents localized shape complexity as the difference between the observed distributions of local surface topology, as quantified by the shape index (SI) measure, to its best fitting simple topological model within a given neighborhood. We apply a relatively small, adaptive geodesic kernel to calculate the SCI. Due to the small size of the kernel, the proposed SCI measure captures fine differences of cortical shape. With this novel cortical feature, we aim to capture comparatively small local surface changes that capture a) the widening versus deepening of sulcal and gyral regions, as well as b) the emergence and development of secondary and tertiary sulci. Current cortical shape measures, such as the gyrification index (GI) or intrinsic curvature measures, investigate the cortical surface at a different scale and are less well suited to capture these particular cortical surface changes. In our experiments, the proposed SCI demonstrates higher complexity in the gyral/sulcal wall regions, lower complexity in wider gyral ridges and lowest complexity in wider sulcal fundus regions. In early postnatal brain development, our experiments show that SCI reveals a pattern of increased cortical shape complexity with age, as well as sexual dimorphisms in the insula, middle cingulate, parieto-occipital sulcal and Broca's regions. Overall, sex differences were greatest at 6months of age and were reduced at 24months, with the difference pattern switching from higher complexity in males at 6months to higher complexity in females at 24months. This is the first study of longitudinal, cortical complexity maturation and sex differences, in the early postnatal period from 6 to 24months of age with fine scale, cortical shape measures. These results provide information that complement previous studies of gyrification index in early brain development.
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Affiliation(s)
- Sun Hyung Kim
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA; Department of Psychiatry, University of North Carolina at Chapel Hill, NC, USA.
| | - Ilwoo Lyu
- Department of Computer Science, University of North Carolina at Chapel Hill, NC, USA
| | - Vladimir S Fonov
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, Canada
| | - Clement Vachet
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA
| | - Rachel G Smith
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA
| | - Stephen R Dager
- Department of Radiology, University of Washington, Seattle, USA
| | | | - John R Pruett
- Department of Psychiatry, Washington University School of Medicine, St. Louis, USA
| | - Alan C Evans
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, Canada
| | - D Louis Collins
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, Canada
| | - Kelly N Botteron
- Department of Psychiatry, Washington University School of Medicine, St. Louis, USA
| | - Robert T Schultz
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Guido Gerig
- Tandon School of Engineering, Department of Computer Science and Engineering, NYU, New York, USA
| | - Martin A Styner
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA; Department of Psychiatry, University of North Carolina at Chapel Hill, NC, USA; Department of Computer Science, University of North Carolina at Chapel Hill, NC, USA
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42
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Swanson MR, Wolff JJ, Elison JT, Gu H, Hazlett HC, Botteron K, Styner M, Paterson S, Gerig G, Constantino J, Dager S, Estes A, Vachet C, Piven J. Splenium development and early spoken language in human infants. Dev Sci 2015; 20. [PMID: 26490257 DOI: 10.1111/desc.12360] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2014] [Accepted: 08/13/2015] [Indexed: 11/28/2022]
Abstract
The association between developmental trajectories of language-related white matter fiber pathways from 6 to 24 months of age and individual differences in language production at 24 months of age was investigated. The splenium of the corpus callosum, a fiber pathway projecting through the posterior hub of the default mode network to occipital visual areas, was examined as well as pathways implicated in language function in the mature brain, including the arcuate fasciculi, uncinate fasciculi, and inferior longitudinal fasciculi. The hypothesis that the development of neural circuitry supporting domain-general orienting skills would relate to later language performance was tested in a large sample of typically developing infants. The present study included 77 infants with diffusion weighted MRI scans at 6, 12 and 24 months and language assessment at 24 months. The rate of change in splenium development varied significantly as a function of language production, such that children with greater change in fractional anisotropy (FA) from 6 to 24 months produced more words at 24 months. Contrary to findings from older children and adults, significant associations between language production and FA in the arcuate, uncinate, or left inferior longitudinal fasciculi were not observed. The current study highlights the importance of tracing brain development trajectories from infancy to fully elucidate emerging brain-behavior associations while also emphasizing the role of the splenium as a key node in the structural network that supports the acquisition of spoken language.
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Affiliation(s)
- Meghan R Swanson
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA
| | - Jason J Wolff
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA.,Department of Educational Psychology, University of Minnesota, USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, USA
| | - Hongbin Gu
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA.,Department of Psychiatry, University of North Carolina at Chapel Hill, USA
| | - Heather C Hazlett
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA.,Department of Psychiatry, University of North Carolina at Chapel Hill, USA
| | | | - Martin Styner
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA.,Department of Psychiatry, University of North Carolina at Chapel Hill, USA.,Department of Computer Science, University of North Carolina at Chapel Hill, USA
| | - Sarah Paterson
- Department of Psychology, Temple University, USA.,Center for Autism Research, The Children's Hospital of Philadelphia, USA
| | - Guido Gerig
- Scientific Computing and Imaging Institute, University of Utah, USA
| | | | - Stephen Dager
- Department of Radiology, University of Washington, USA
| | - Annette Estes
- Department of Speech and Hearing Sciences, University of Washington, USA
| | - Clement Vachet
- Scientific Computing and Imaging Institute, University of Utah, USA
| | - Joseph Piven
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA.,Department of Psychiatry, University of North Carolina at Chapel Hill, USA
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Wolff JJ, Gerig G, Lewis JD, Soda T, Styner MA, Vachet C, Botteron KN, Elison JT, Dager SR, Estes AM, Hazlett HC, Schultz RT, Zwaigenbaum L, Piven J. Altered corpus callosum morphology associated with autism over the first 2 years of life. Brain 2015; 138:2046-58. [PMID: 25937563 DOI: 10.1093/brain/awv118] [Citation(s) in RCA: 122] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Accepted: 03/06/2015] [Indexed: 11/13/2022] Open
Abstract
Numerous brain imaging studies indicate that the corpus callosum is smaller in older children and adults with autism spectrum disorder. However, there are no published studies examining the morphological development of this connective pathway in infants at-risk for the disorder. Magnetic resonance imaging data were collected from 270 infants at high familial risk for autism spectrum disorder and 108 low-risk controls at 6, 12 and 24 months of age, with 83% of infants contributing two or more data points. Fifty-seven children met criteria for ASD based on clinical-best estimate diagnosis at age 2 years. Corpora callosa were measured for area, length and thickness by automated segmentation. We found significantly increased corpus callosum area and thickness in children with autism spectrum disorder starting at 6 months of age. These differences were particularly robust in the anterior corpus callosum at the 6 and 12 month time points. Regression analysis indicated that radial diffusivity in this region, measured by diffusion tensor imaging, inversely predicted thickness. Measures of area and thickness in the first year of life were correlated with repetitive behaviours at age 2 years. In contrast to work from older children and adults, our findings suggest that the corpus callosum may be larger in infants who go on to develop autism spectrum disorder. This result was apparent with or without adjustment for total brain volume. Although we did not see a significant interaction between group and age, cross-sectional data indicated that area and thickness differences diminish by age 2 years. Regression data incorporating diffusion tensor imaging suggest that microstructural properties of callosal white matter, which includes myelination and axon composition, may explain group differences in morphology.
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Affiliation(s)
- Jason J Wolff
- 1 Department of Educational Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Guido Gerig
- 2 Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA
| | - John D Lewis
- 3 Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Takahiro Soda
- 4 Health Sciences and Technology, Harvard Medical School and Massachusetts Institute of Technology, Boston, MA, USA 5 Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Martin A Styner
- 5 Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA 6 Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Clement Vachet
- 2 Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA
| | - Kelly N Botteron
- 7 Department of Psychiatry, Washington University at St. Louis, St. Louis, MO, USA
| | - Jed T Elison
- 8 Institute for Child Development, University of Minnesota, Minneapolis, MN, USA
| | - Stephen R Dager
- 9 Department of Radiology, University of Washington, Seattle, WA, USA
| | - Annette M Estes
- 10 Department of Speech and Hearing Science, University of Washington, Seattle, WA, USA
| | - Heather C Hazlett
- 5 Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA 6 Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Robert T Schultz
- 11 Centre for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Lonnie Zwaigenbaum
- 12 Department of Paediatrics, University of Alberta, Edmonton AB, Canada
| | - Joseph Piven
- 5 Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA 6 Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Pruett JR, Kandala S, Hoertel S, Snyder AZ, Elison JT, Nishino T, Feczko E, Dosenbach NUF, Nardos B, Power JD, Adeyemo B, Botteron KN, McKinstry RC, Evans AC, Hazlett HC, Dager SR, Paterson S, Schultz RT, Collins DL, Fonov VS, Styner M, Gerig G, Das S, Kostopoulos P, Constantino JN, Estes AM, Petersen SE, Schlaggar BL, Piven J. Accurate age classification of 6 and 12 month-old infants based on resting-state functional connectivity magnetic resonance imaging data. Dev Cogn Neurosci 2015; 12:123-33. [PMID: 25704288 PMCID: PMC4385423 DOI: 10.1016/j.dcn.2015.01.003] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2014] [Revised: 01/14/2015] [Accepted: 01/16/2015] [Indexed: 11/29/2022] Open
Abstract
SVMs classified 6 versus 12 month-old infants above chance based on fcMRI data alone. We carefully accounted for the effects of fcMRI motion artifact. These results coincide with a period of dramatic change in infant development. Two interpretations about connections supporting this age categorization are given.
Human large-scale functional brain networks are hypothesized to undergo significant changes over development. Little is known about these functional architectural changes, particularly during the second half of the first year of life. We used multivariate pattern classification of resting-state functional connectivity magnetic resonance imaging (fcMRI) data obtained in an on-going, multi-site, longitudinal study of brain and behavioral development to explore whether fcMRI data contained information sufficient to classify infant age. Analyses carefully account for the effects of fcMRI motion artifact. Support vector machines (SVMs) classified 6 versus 12 month-old infants (128 datasets) above chance based on fcMRI data alone. Results demonstrate significant changes in measures of brain functional organization that coincide with a special period of dramatic change in infant motor, cognitive, and social development. Explorations of the most different correlations used for SVM lead to two different interpretations about functional connections that support 6 versus 12-month age categorization.
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Affiliation(s)
- John R Pruett
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States.
| | - Sridhar Kandala
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States.
| | - Sarah Hoertel
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States.
| | - Abraham Z Snyder
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States.
| | - Jed T Elison
- University of Minnesota, 51 East River Parkway, Minneapolis, MN 55455, United States.
| | - Tomoyuki Nishino
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States.
| | - Eric Feczko
- Emory University, 201 Dowman Drive, Atlanta, GA 30322, United States.
| | - Nico U F Dosenbach
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States.
| | - Binyam Nardos
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States.
| | - Jonathan D Power
- National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD 20814, United States.
| | - Babatunde Adeyemo
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States.
| | - Kelly N Botteron
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States.
| | - Robert C McKinstry
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States.
| | - Alan C Evans
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC, Canada H3A 2B4.
| | - Heather C Hazlett
- University of North Carolina at Chapel Hill, 101 Manning Drive, Chapel Hill, NC 27514, United States.
| | - Stephen R Dager
- University of Washington, Seattle, 1410 NE Campus Parkway, Seattle, WA 98195, United States.
| | - Sarah Paterson
- Children's Hospital of Philadelphia and University of Pennsylvania, Civic Center Boulevard, Philadelphia, PA 19104, United States.
| | - Robert T Schultz
- Children's Hospital of Philadelphia and University of Pennsylvania, Civic Center Boulevard, Philadelphia, PA 19104, United States.
| | - D Louis Collins
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC, Canada H3A 2B4.
| | - Vladimir S Fonov
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC, Canada H3A 2B4.
| | - Martin Styner
- University of North Carolina at Chapel Hill, 101 Manning Drive, Chapel Hill, NC 27514, United States.
| | - Guido Gerig
- University of Utah, Salt Lake City, 201 Presidents Circle, Salt Lake City, UT 84112, United States.
| | - Samir Das
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC, Canada H3A 2B4.
| | - Penelope Kostopoulos
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC, Canada H3A 2B4.
| | - John N Constantino
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States.
| | - Annette M Estes
- University of Washington, Seattle, 1410 NE Campus Parkway, Seattle, WA 98195, United States.
| | | | - Steven E Petersen
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States.
| | - Bradley L Schlaggar
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States.
| | - Joseph Piven
- University of North Carolina at Chapel Hill, 101 Manning Drive, Chapel Hill, NC 27514, United States.
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Elison JT, Wolff JJ, Reznick JS, Botteron KN, Estes AM, Gu H, Hazlett HC, Meadows AJ, Paterson SJ, Zwaigenbaum L, Piven J. Repetitive behavior in 12-month-olds later classified with autism spectrum disorder. J Am Acad Child Adolesc Psychiatry 2014; 53:1216-24. [PMID: 25440311 PMCID: PMC4254502 DOI: 10.1016/j.jaac.2014.08.004] [Citation(s) in RCA: 76] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2014] [Revised: 07/18/2014] [Accepted: 08/29/2014] [Indexed: 12/13/2022]
Abstract
OBJECTIVE As compared to the utility of early emerging social communicative risk markers for predicting a later diagnosis of autism spectrum disorder (ASD), less is known about the relevance of early patterns of restricted and repetitive behaviors. We examined patterns of stereotyped motor mannerisms and repetitive manipulation of objects in 12-month-olds at high and low risk for developing ASD, all of whom were assessed for ASD at 24 months. METHOD Observational coding of repetitive object manipulation and stereotyped motor behaviors in digital recordings of the Communication and Symbolic Behavior Scales was conducted using the Repetitive and Stereotyped Movement Scales for 3 groups of 12-month-olds: low-risk infants (LR, n = 53); high-familial-risk infants who did not meet diagnostic criteria for ASD at 24 months (HR-negative, n = 75); and high-familial-risk infants who met diagnostic criteria for ASD at 24 months (HR-ASD, n = 30). RESULTS The HR-ASD group showed significantly more stereotyped motor mannerisms than both the HR-negative group (p = .025) and the LR group (p = .001). The HR-ASD and HR-negative groups demonstrated statistically equivalent repetitive object manipulation scores (p = .431), and both groups showed significantly more repetitive object manipulation than the LR group (p < .040). Combining the motor and object stereotypy scores into a Repetitive and Stereotyped Movement Scales (RSMS) composite yielded a disorder-continuum effect such that each group was significantly different from one another (LR < HR-negative < HR-ASD). CONCLUSION These results suggest that targeted assessment of repetitive behavior during infancy may augment early ASD identification efforts.
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Wolff JJ, Botteron KN, Dager SR, Elison JT, Estes AM, Gu H, Hazlett HC, Pandey J, Paterson SJ, Schultz RT, Zwaigenbaum L, Piven J. Longitudinal patterns of repetitive behavior in toddlers with autism. J Child Psychol Psychiatry 2014; 55:945-53. [PMID: 24552513 PMCID: PMC4107191 DOI: 10.1111/jcpp.12207] [Citation(s) in RCA: 115] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/28/2013] [Indexed: 11/27/2022]
Abstract
BACKGROUND Recent evidence suggests that restricted and repetitive behaviors may differentiate children who develop autism spectrum disorder (ASD) by late infancy. How these core symptoms manifest early in life, particularly among infants at high risk for the disorder, is not well characterized. METHODS Prospective, longitudinal parent-report data (Repetitive Behavior Scales-Revised) were collected for 190 high-risk toddlers and 60 low-risk controls from 12 to 24 months of age. Forty-one high-risk children were classified with ASD at age 2. Profiles of repetitive behavior were compared between groups using generalized estimating equations. RESULTS Longitudinal profiles for children diagnosed with ASD differed significantly from high- and low-risk children without the disorder on all measures of repetitive behavior. High-risk toddlers without ASD were intermediate to low risk and ASD positive counterparts. Toddlers with ASD showed significantly higher rates of repetitive behavior across subtypes at the 12-month time point. Repetitive behaviors were significantly correlated with adaptive behavior and socialization scores among children with ASD at 24 months of age, but were largely unrelated to measures of general cognitive ability. CONCLUSIONS These findings suggest that as early as 12 months of age, a broad range of repetitive behaviors are highly elevated in children who go on to develop ASD. While some degree of repetitive behavior is elemental to typical early development, the extent of these behaviors among children who develop ASD appears highly atypical.
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Affiliation(s)
- Jason J Wolff
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Wassink TH, Hazlett HC, Davis LK, Reiss AL, Piven J. Testing for association of the monoamine oxidase A promoter polymorphism with brain structure volumes in both autism and the fragile X syndrome. J Neurodev Disord 2014; 6:6. [PMID: 24669826 PMCID: PMC3987046 DOI: 10.1186/1866-1955-6-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2013] [Accepted: 03/05/2014] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Autism and the fragile X syndrome (FXS) are related to each other genetically and symptomatically. A cardinal biological feature of both disorders is abnormalities of cerebral cortical brain volumes. We have previously shown that the monoamine oxidase A (MAOA) promoter polymorphism is associated with cerebral cortical volumes in children with autism, and we now sought to determine whether the association was also present in children with FXS. METHODS Participants included 47 2-year-old Caucasian boys with FXS, some of whom also had autism, as well as 34 2-year-old boys with idiopathic autism analyzed in a previous study. The MAOA promoter polymorphism was genotyped and tested for relationships with gray and white matter volumes of the cerebral cortical lobes and cerebro-spinal fluid volume of the lateral ventricles. RESULTS MAOA genotype effects in FXS children were the same as those previously observed in idiopathic autism: the low activity MAOA promoter polymorphism allele was associated with increased gray and white matter volumes in all cerebral lobes. The effect was most pronounced in frontal lobe gray matter and all three white matter regions: frontal gray, F = 4.39, P = 0.04; frontal white, F = 5.71, P = 0.02; temporal white, F = 4.73, P = 0.04; parieto-occipital white, F = 5.00, P = 0.03. Analysis of combined FXS and idiopathic autism samples produced P values for these regions <0.01 and effect sizes of approximately 0.10. CONCLUSIONS The MAOA promoter polymorphism is similarly associated with brain structure volumes in both idiopathic autism and FXS. These data illuminate a number of important aspects of autism and FXS heritability: a genetic effect on a core biological trait of illness, the specificity/generalizability of the genetic effect, and the utility of examining individual genetic effects on the background of a single gene disorder such as FXS.
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Affiliation(s)
- Thomas H Wassink
- Department of Psychiatry, University of Iowa Carver College of Medicine, 1-191 MEB, Iowa City, Iowa 52242, USA.
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Verde AR, Budin F, Berger JB, Gupta A, Farzinfar M, Kaiser A, Ahn M, Johnson H, Matsui J, Hazlett HC, Sharma A, Goodlett C, Shi Y, Gouttard S, Vachet C, Piven J, Zhu H, Gerig G, Styner M. UNC-Utah NA-MIC framework for DTI fiber tract analysis. Front Neuroinform 2014; 7:51. [PMID: 24409141 PMCID: PMC3885811 DOI: 10.3389/fninf.2013.00051] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2013] [Accepted: 12/21/2013] [Indexed: 11/16/2022] Open
Abstract
Diffusion tensor imaging has become an important modality in the field of neuroimaging to capture changes in micro-organization and to assess white matter integrity or development. While there exists a number of tractography toolsets, these usually lack tools for preprocessing or to analyze diffusion properties along the fiber tracts. Currently, the field is in critical need of a coherent end-to-end toolset for performing an along-fiber tract analysis, accessible to non-technical neuroimaging researchers. The UNC-Utah NA-MIC DTI framework represents a coherent, open source, end-to-end toolset for atlas fiber tract based DTI analysis encompassing DICOM data conversion, quality control, atlas building, fiber tractography, fiber parameterization, and statistical analysis of diffusion properties. Most steps utilize graphical user interfaces (GUI) to simplify interaction and provide an extensive DTI analysis framework for non-technical researchers/investigators. We illustrate the use of our framework on a small sample, cross sectional neuroimaging study of eight healthy 1-year-old children from the Infant Brain Imaging Study (IBIS) Network. In this limited test study, we illustrate the power of our method by quantifying the diffusion properties at 1 year of age on the genu and splenium fiber tracts.
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Affiliation(s)
- Audrey R Verde
- Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North Carolina Chapel Hill, NC, USA
| | - Francois Budin
- Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North Carolina Chapel Hill, NC, USA
| | - Jean-Baptiste Berger
- Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North Carolina Chapel Hill, NC, USA
| | - Aditya Gupta
- Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North Carolina Chapel Hill, NC, USA ; Children's Hospital of Pittsburgh, University of Pittsburgh Pittsburgh, PA, USA
| | - Mahshid Farzinfar
- Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North Carolina Chapel Hill, NC, USA
| | - Adrien Kaiser
- Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North Carolina Chapel Hill, NC, USA
| | - Mihye Ahn
- Department of Biostatistics, University of North Carolina Chapel Hill, NC, USA
| | - Hans Johnson
- Iowa Institute for Biomedical Imaging, University of Iowa Iowa City, IA, USA
| | - Joy Matsui
- Iowa Institute for Biomedical Imaging, University of Iowa Iowa City, IA, USA
| | - Heather C Hazlett
- Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North Carolina Chapel Hill, NC, USA
| | - Anuja Sharma
- Scientific Computing and Imaging Institute, University of Utah Salt Lake City, UT, USA
| | | | - Yundi Shi
- Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North Carolina Chapel Hill, NC, USA
| | - Sylvain Gouttard
- Scientific Computing and Imaging Institute, University of Utah Salt Lake City, UT, USA
| | - Clement Vachet
- Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North Carolina Chapel Hill, NC, USA ; Scientific Computing and Imaging Institute, University of Utah Salt Lake City, UT, USA
| | - Joseph Piven
- Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North Carolina Chapel Hill, NC, USA
| | - Hongtu Zhu
- Department of Biostatistics, University of North Carolina Chapel Hill, NC, USA
| | - Guido Gerig
- Scientific Computing and Imaging Institute, University of Utah Salt Lake City, UT, USA
| | - Martin Styner
- Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North Carolina Chapel Hill, NC, USA ; Department of Computer Science, University of North Carolina Chapel Hill, NC, USA
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Cascio C, Gribbin M, Gouttard S, Smith RG, Jomier M, Field S, Graves M, Hazlett HC, Muller K, Gerig G, Piven J. Fractional anisotropy distributions in 2- to 6-year-old children with autism. J Intellect Disabil Res 2013; 57:1037-1049. [PMID: 22998325 PMCID: PMC3606640 DOI: 10.1111/j.1365-2788.2012.01599.x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
BACKGROUND Increasing evidence suggests that autism is a disorder of distributed neural networks that may exhibit abnormal developmental trajectories. Characterisation of white matter early in the developmental course of the disorder is critical to understanding these aberrant trajectories. METHODS A cross-sectional study of 2- to 6-year-old children with autism was conducted using diffusion tensor imaging combined with a novel statistical approach employing fractional anisotropy distributions. Fifty-eight children aged 18-79 months were imaged: 33 were diagnosed with autism, 8 with general developmental delay, and 17 were typically developing. Fractional anisotropy values within global white matter, cortical lobes and the cerebellum were measured and transformed to random F distributions for each subject. Each distribution of values for a region was summarised by estimating δ, the estimated mean and standard deviation of the approximating F for each distribution. RESULTS The estimated δ parameter, , was significantly decreased in individuals with autism compared to the combined control group. This was true in all cortical lobes, as well as in the cerebellum, but differences were most robust in the temporal lobe. Predicted developmental trajectories of across the age range in the sample showed patterns that partially distinguished the groups. Exploratory analyses suggested that the variability, rather than the central tendency, component of was the driving force behind these results. CONCLUSIONS While preliminary, our results suggest white matter in young children with autism may be abnormally homogeneous, which may reflect poorly organised or differentiated pathways, particularly in the temporal lobe, which is important for social and emotional cognition.
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Affiliation(s)
- C Cascio
- Psychiatry and Kennedy Center for Research on Human Development, Vanderbilt University, Nashville, Tennessee, USA Department of Biostatistics, Human Genome Sciences, Rockville, Maryland, USA Department of Computer Science, University of Utah, Salt Lake City, Utah, USA Psychiatry/Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, North Carolina, USA Department of Computer Science, University of North Carolina, Chapel Hill, North Carolina, USA Frank Porter Graham Child Development Institute, Chapel Hill, North Carolina, USA Department of Epidemiology and Health Policy Research, University of Florida, Gainesville, Florida, USA
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50
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Elison JT, Paterson SJ, Wolff JJ, Reznick JS, Sasson NJ, Gu H, Botteron KN, Dager SR, Estes AM, Evans AC, Gerig G, Hazlett HC, Schultz RT, Styner M, Zwaigenbaum L, Piven J. White matter microstructure and atypical visual orienting in 7-month-olds at risk for autism. Am J Psychiatry 2013; 170:899-908. [PMID: 23511344 PMCID: PMC3863364 DOI: 10.1176/appi.ajp.2012.12091150] [Citation(s) in RCA: 207] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The authors sought to determine whether specific patterns of oculomotor functioning and visual orienting characterize 7-month-old infants who later meet criteria for an autism spectrum disorder (ASD) and to identify the neural correlates of these behaviors. METHOD Data were collected from 97 infants, of whom 16 were high-familial-risk infants later classified as having an ASD, 40 were high-familial-risk infants who did not later meet ASD criteria (high-risk negative), and 41 were low-risk infants. All infants underwent an eye-tracking task at a mean age of 7 months and a clinical assessment at a mean age of 25 months. Diffusion-weighted imaging data were acquired for 84 of the infants at 7 months. Primary outcome measures included average saccadic reaction time in a visually guided saccade procedure and radial diffusivity (an index of white matter organization) in fiber tracts that included corticospinal pathways and the splenium and genu of the corpus callosum. RESULTS Visual orienting latencies were longer in 7-month-old infants who expressed ASD symptoms at 25 months compared with both high-risk negative infants and low-risk infants. Visual orienting latencies were uniquely associated with the microstructural organization of the splenium of the corpus callosum in low-risk infants, but this association was not apparent in infants later classified as having an ASD. CONCLUSIONS Flexibly and efficiently orienting to salient information in the environment is critical for subsequent cognitive and social-cognitive development. Atypical visual orienting may represent an early prodromal feature of an ASD, and abnormal functional specialization of posterior cortical circuits directly informs a novel model of ASD pathogenesis.
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