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Ahlfors SP, Graham S, Bharadwaj H, Mamashli F, Khan S, Joseph RM, Losh A, Pawlyszyn S, McGuiggan NM, Vangel M, Hämäläinen MS, Kenet T. No Differences in Auditory Steady-State Responses in Children with Autism Spectrum Disorder and Typically Developing Children. J Autism Dev Disord 2024; 54:1947-1960. [PMID: 36932270 PMCID: PMC11463296 DOI: 10.1007/s10803-023-05907-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/23/2022] [Indexed: 03/19/2023]
Abstract
Auditory steady-state response (ASSR) has been studied as a potential biomarker for abnormal auditory sensory processing in autism spectrum disorder (ASD), with mixed results. Motivated by prior somatosensory findings of group differences in inter-trial coherence (ITC) between ASD and typically developing (TD) individuals at twice the steady-state stimulation frequency, we examined ASSR at 25 and 50 as well as 43 and 86 Hz in response to 25-Hz and 43-Hz auditory stimuli, respectively, using magnetoencephalography. Data were recorded from 22 ASD and 31 TD children, ages 6-17 years. ITC measures showed prominent ASSRs at the stimulation and double frequencies, without significant group differences. These results do not support ASSR as a robust ASD biomarker of abnormal auditory processing in ASD. Furthermore, the previously observed atypical double-frequency somatosensory response in ASD did not generalize to the auditory modality. Thus, the hypothesis about modality-independent abnormal local connectivity in ASD was not supported.
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Affiliation(s)
- Seppo P Ahlfors
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA.
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th Street, Rm. 2301, Charlestown, MA, 02129, USA.
| | - Steven Graham
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Hari Bharadwaj
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
- Department of Speech, Language, and Hearing Sciences, Boston University, Boston, MA, USA
- Department of Speech, Language, & Hearing Sciences and Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Fahimeh Mamashli
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Sheraz Khan
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Robert M Joseph
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Ainsley Losh
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Stephanie Pawlyszyn
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Nicole M McGuiggan
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Mark Vangel
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Matti S Hämäläinen
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Tal Kenet
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
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2
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Demopoulos C, Jesson X, Gerdes MR, Jurigova BG, Hinkley LB, Ranasinghe KG, Desai S, Honma S, Mizuiri D, Findlay A, Nagarajan SS, Marco EJ. Global MEG Resting State Functional Connectivity in Children with Autism and Sensory Processing Dysfunction. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.26.577499. [PMID: 38352614 PMCID: PMC10862722 DOI: 10.1101/2024.01.26.577499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Sensory processing dysfunction not only affects most individuals with autism spectrum disorder (ASD), but at least 5% of children without ASD also experience dysfunctional sensory processing. Our understanding of the relationship between sensory dysfunction and resting state brain activity is still emerging. This study compared long-range resting state functional connectivity of neural oscillatory behavior in children aged 8-12 years with autism spectrum disorder (ASD; N=18), those with sensory processing dysfunction (SPD; N=18) who do not meet ASD criteria, and typically developing control participants (TDC; N=24) using magnetoencephalography (MEG). Functional connectivity analyses were performed in the alpha and beta frequency bands, which are known to be implicated in sensory information processing. Group differences in functional connectivity and associations between sensory abilities and functional connectivity were examined. Distinct patterns of functional connectivity differences between ASD and SPD groups were found only in the beta band, but not in the alpha band. In both alpha and beta bands, ASD and SPD cohorts differed from the TDC cohort. Somatosensory cortical beta-band functional connectivity was associated with tactile processing abilities, while higher-order auditory cortical alpha-band functional connectivity was associated with auditory processing abilities. These findings demonstrate distinct long-range neural synchrony alterations in SPD and ASD that are associated with sensory processing abilities. Neural synchrony measures could serve as potential sensitive biomarkers for ASD and SPD.
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Affiliation(s)
- Carly Demopoulos
- Department of Psychiatry, University of California San Francisco, 675 18 Street, San Francisco, CA 94107
- Department of Radiology & Biomedical Imaging, University of California-San Francisco, 513 Parnassus Avenue, S362, San Francisco, CA 94143
| | - Xuan Jesson
- Department of Psychology, Palo Alto University, 1791 Arastradero Road, Palo Alto, CA 94304
| | - Molly Rae Gerdes
- Cortica Healthcare, Department of Neurodevelopmental Medicine, 4000 Civic Center Drive, San Rafael, CA 94903
| | - Barbora G. Jurigova
- Cortica Healthcare, Department of Neurodevelopmental Medicine, 4000 Civic Center Drive, San Rafael, CA 94903
| | - Leighton B. Hinkley
- Department of Radiology & Biomedical Imaging, University of California-San Francisco, 513 Parnassus Avenue, S362, San Francisco, CA 94143
| | - Kamalini G. Ranasinghe
- University of California-San Francisco, Department of Neurology, 675 Nelson Rising Lane, San Francisco, CA 94143
| | - Shivani Desai
- University of California-San Francisco, Department of Neurology, 675 Nelson Rising Lane, San Francisco, CA 94143
| | - Susanne Honma
- Department of Radiology & Biomedical Imaging, University of California-San Francisco, 513 Parnassus Avenue, S362, San Francisco, CA 94143
| | - Danielle Mizuiri
- Department of Radiology & Biomedical Imaging, University of California-San Francisco, 513 Parnassus Avenue, S362, San Francisco, CA 94143
| | - Anne Findlay
- Department of Radiology & Biomedical Imaging, University of California-San Francisco, 513 Parnassus Avenue, S362, San Francisco, CA 94143
| | - Srikantan S. Nagarajan
- Department of Radiology & Biomedical Imaging, University of California-San Francisco, 513 Parnassus Avenue, S362, San Francisco, CA 94143
| | - Elysa J. Marco
- Cortica Healthcare, Department of Neurodevelopmental Medicine, 4000 Civic Center Drive, San Rafael, CA 94903
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3
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Roberts TPL, Gaetz WC, Birnbaum C, Bloy L, Berman JI. Towards Biomarkers for Autism Spectrum Disorder: Contributions of Magnetoencephalography (MEG). ADVANCES IN NEUROBIOLOGY 2024; 40:455-489. [PMID: 39562454 DOI: 10.1007/978-3-031-69491-2_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2024]
Abstract
There is no simple blood test for autism. Consequently, much attention has been paid to identifying noninvasive biomarkers using imaging (e.g., Magnetic resonance imaging, MRI) and electrophysiological (e.g., electroencephalography, EEG and magnetoencephalography, MEG) methods. While, in general, these lack direct biological specificity, they can (in principle) provide a useful tool, or suite of tools, for diagnostic, prognostic, stratification, and response monitoring purposes.This chapter focuses on the pursuit of biomarkers using magnetoencephalography (MEG). While closely related to the more common electroencephalography (EEG), MEG offers some unique characteristics (such as improved spatial resolution, in combination with real-time temporal resolution and spectral discrimination), that might be considered impactful in the pursuit of biomarkers.Given the widely-acknowledged heterogeneity of ASD ("if you've seen one child with autism, then you've seen one child with autism"), the tide of research is perhaps shifting away from diagnostic biomarkers toward biomarkers that can help stratify patients according to some similarity in biological basis, etiology, or pathway. This approach, somewhat pragmatic, may be of benefit when designing and conducting clinical trials of putative therapeutics, or when optimally designing behavioral supports (when "therapy" may not be indicated).Ultimately, MEG-derived biomarkers, however advantageous in themselves, may likely find a place as reference in the prioritization and roll-out of candidate biomarkers established using other modalities, more accessible and available to the global community.
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Affiliation(s)
- Timothy P L Roberts
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA.
| | - William C Gaetz
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA
| | - Charlotte Birnbaum
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA
| | - Luke Bloy
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA
| | - Jeffrey I Berman
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA
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4
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Demopoulos C, Skiba SA, Kopald BE, Bangera N, Paulson K, Lewine JD. Associations between rapid auditory processing of speech sounds and specific verbal communication skills in autism. Front Psychol 2023; 14:1223250. [PMID: 37663330 PMCID: PMC10470870 DOI: 10.3389/fpsyg.2023.1223250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 07/26/2023] [Indexed: 09/05/2023] Open
Abstract
Introduction The ability to rapidly process speech sounds is integral not only for processing other's speech, but also for auditory processing of one's own speech, which allows for maintenance of speech accuracy. Deficits in rapid auditory processing have been demonstrated in autistic individuals, particularly those with language impairment. We examined rapid auditory processing for speech sounds in relation to performance on a battery of verbal communication measures to determine which aspects of verbal communication were associated with cortical auditory processing in a sample of individuals with autism. Methods Participants were 57 children and adolescents (40 male and 17 female) ages 5-18 who were diagnosed with an Autism Spectrum Disorder (ASD). Rapid auditory processing of speech sounds was measured via a magnetoencephalographic (MEG) index of the quality of the auditory evoked response to the second of two differing speech sounds ("Ga" / "Da") presented in rapid succession. Verbal communication abilities were assessed on standardized clinical measures of overall expressive and receptive language, vocabulary, articulation, and phonological processing. Associations between cortical measures of left- and right-hemisphere rapid auditory processing and verbal communication measures were examined. Results Rapid auditory processing of speech sounds was significantly associated with speech articulation bilaterally (r = 0.463, p = 0.001 for left hemisphere and r = 0.328, p = 0.020 for right hemisphere). In addition, rapid auditory processing in the left hemisphere was significantly associated with overall expressive language abilities (r = 0.354, p = 0.013); expressive (r = 0.384, p = 0.005) vocabulary; and phonological memory (r = 0.325, p = 0.024). Phonological memory was found to mediate the relationship between rapid cortical processing and receptive language. Discussion These results demonstrate that impaired rapid auditory processing for speech sounds is associated with dysfunction in verbal communication in ASD. The data also indicate that intact rapid auditory processing may be necessary for even basic communication skills that support speech production, such as phonological memory and articulatory control.
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Affiliation(s)
- Carly Demopoulos
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Sara A. Skiba
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States
- Ape Cognition and Conservation Initiative (Ape Initiative), Des Moines, IA, United States
| | - Brandon E. Kopald
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - Nitin Bangera
- Mind Research Network, Albuquerque, NM, United States
| | - Kim Paulson
- Mind Research Network, Albuquerque, NM, United States
| | - Jeffrey David Lewine
- Mind Research Network, Albuquerque, NM, United States
- Departments of Psychology and Neurology, University of New Mexico, Albuquerque, NM, United States
- Center for Advanced Diagnostics, Evaluation and Therapeutics, CADET-NM, Albuquerque, NM, United States
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5
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Gonçalves AM, Monteiro P. Autism Spectrum Disorder and auditory sensory alterations: a systematic review on the integrity of cognitive and neuronal functions related to auditory processing. J Neural Transm (Vienna) 2023; 130:325-408. [PMID: 36914900 PMCID: PMC10033482 DOI: 10.1007/s00702-023-02595-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 01/17/2023] [Indexed: 03/15/2023]
Abstract
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition with a wide spectrum of symptoms, mainly characterized by social, communication, and cognitive impairments. Latest diagnostic criteria according to DSM-5 (Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, 2013) now include sensory issues among the four restricted/repetitive behavior features defined as "hyper- or hypo-reactivity to sensory input or unusual interest in sensory aspects of environment". Here, we review auditory sensory alterations in patients with ASD. Considering the updated diagnostic criteria for ASD, we examined research evidence (2015-2022) of the integrity of the cognitive function in auditory-related tasks, the integrity of the peripheral auditory system, and the integrity of the central nervous system in patients diagnosed with ASD. Taking into account the different approaches and experimental study designs, we reappraise the knowledge on auditory sensory alterations and reflect on how these might be linked with behavior symptomatology in ASD.
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Affiliation(s)
- Ana Margarida Gonçalves
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal
- ICVS/3B's-PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal
| | - Patricia Monteiro
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.
- ICVS/3B's-PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal.
- Experimental Biology Unit, Department of Biomedicine, Faculty of Medicine, University of Porto, Porto, Portugal.
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6
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Demopoulos C, Kopald BE, Bangera N, Paulson K, David Lewine J. Rapid auditory processing of puretones is associated with basic components of language in individuals with autism spectrum disorders. BRAIN AND LANGUAGE 2023; 238:105229. [PMID: 36753824 PMCID: PMC10029928 DOI: 10.1016/j.bandl.2023.105229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 12/08/2022] [Accepted: 01/13/2023] [Indexed: 06/18/2023]
Abstract
The goal of this study was to identify the specific domains of language that may be affected by deficits in rapid auditory processing in individuals with ASD. Auditory evoked fields were collected from 63 children diagnosed with ASD in order to evaluate processing of puretone sounds presented in rapid succession. Measures of language and its components were assessed via standardized clinical tools to quantify expressive and receptive language, vocabulary, articulation, and phonological processing abilities. Rapid processing was significantly and bilaterally associated with phonological awareness, vocabulary, and articulation. Phonological processing was found to mediate the relationship between rapid processing and language. M100 response latency was not significantly associated with any language measures. Results suggest that rapid processing deficits may impact the basic components of language such as phonological processing, and the downstream effect of this impact may in turn impact overall language development.
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Affiliation(s)
- Carly Demopoulos
- University of California-San Francisco, Department of Psychiatry & Behavioral Sciences, 675 18th Street, San Francisco, CA 94107, United States; University of California-San Francisco, Department of Radiology & Biomedical Imaging, 513 Parnassus Avenue, S362, San Francisco, CA 94143, United States.
| | - Brandon E Kopald
- University of California-San Francisco, Department of Neurology, 675 Nelson Rising, Lane, San Francisco, CA 94143, United States
| | - Nitin Bangera
- Mind Research Network, Pete & Nancy Domenici Hall, 1101 Yale Blvd. NE, Albuquerque, NM 87106, United States; Center for Advanced Diagnostics, Evaluation and Therapeutics, CADET-NM, 1501 Indian School, NE, Albuquerque, NM 87102, United States
| | - Kim Paulson
- Mind Research Network, Pete & Nancy Domenici Hall, 1101 Yale Blvd. NE, Albuquerque, NM 87106, United States
| | - Jeffrey David Lewine
- Mind Research Network, Pete & Nancy Domenici Hall, 1101 Yale Blvd. NE, Albuquerque, NM 87106, United States; Center for Advanced Diagnostics, Evaluation and Therapeutics, CADET-NM, 1501 Indian School, NE, Albuquerque, NM 87102, United States; University of New Mexico, Departments of Psychology and Neurology, 1 University Blvd. NE, Albuquerque, NM 87031, United States.
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7
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Passarello N, Tarantino V, Chirico A, Menghini D, Costanzo F, Sorrentino P, Fucà E, Gigliotta O, Alivernini F, Oliveri M, Lucidi F, Vicari S, Mandolesi L, Turriziani P. Sensory Processing Disorders in Children and Adolescents: Taking Stock of Assessment and Novel Therapeutic Tools. Brain Sci 2022; 12:1478. [PMID: 36358404 PMCID: PMC9688399 DOI: 10.3390/brainsci12111478] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 10/27/2022] [Accepted: 10/28/2022] [Indexed: 03/17/2025] Open
Abstract
Sensory processing disorders (SPDs) can be described as difficulty detecting, modulating, interpreting, and/or responding to sensory experiences. Because SPDs occur in many individuals with autism spectrum disorder and in other populations with neurodevelopmental disorders, it is important to distinguish between typical and atypical functioning in sensory processes and to identify early phenotypic markers for developing SPDs. This review considers different methods for diagnosing SPDs to outline a multidisciplinary approach useful for developing valid diagnostic measures. In particular, the advantages and limitations of the most commonly used tools in assessment of SPDs, such as caregiver reports, clinical observation, and psychophysical and neuroimaging studies, will be reviewed. Innovative treatment methods such as neuromodulation techniques and virtual reality will also be suggested.
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Affiliation(s)
- Noemi Passarello
- Department of Humanities, “Federico II” University, Via Porta di Massa 1, 80138 Naples, Italy
| | - Vincenza Tarantino
- Department of Psychology, Educational Sciences and Human Movement, University of Palermo, Via delle Scienze, Ed. 15, 90128 Palermo, Italy
| | - Andrea Chirico
- Department of Social and Developmental Psychology, Faculty of Medicine and Psychology, “Sapienza” University of Rome, Via dei Marsi 78, 00185 Rome, Italy
| | - Deny Menghini
- Child and Adolescent Neuropsychiatry Unit, Department of Neuroscience, Bambino Gesù Children’s Hospital, IRCCS, Viale di San Paolo, 15, 00146 Rome, Italy
| | - Floriana Costanzo
- Child and Adolescent Neuropsychiatry Unit, Department of Neuroscience, Bambino Gesù Children’s Hospital, IRCCS, Viale di San Paolo, 15, 00146 Rome, Italy
| | - Pierpaolo Sorrentino
- Institut de Neurosciences des Systèmes, Aix-Marseille University, 27 Bd Jean Moulin, 13005 Marseille, France
| | - Elisa Fucà
- Child and Adolescent Neuropsychiatry Unit, Department of Neuroscience, Bambino Gesù Children’s Hospital, IRCCS, Viale di San Paolo, 15, 00146 Rome, Italy
| | - Onofrio Gigliotta
- Department of Humanities, “Federico II” University, Via Porta di Massa 1, 80138 Naples, Italy
| | - Fabio Alivernini
- Department of Social and Developmental Psychology, Faculty of Medicine and Psychology, “Sapienza” University of Rome, Via dei Marsi 78, 00185 Rome, Italy
| | - Massimiliano Oliveri
- Department of Psychology, Educational Sciences and Human Movement, University of Palermo, Via delle Scienze, Ed. 15, 90128 Palermo, Italy
| | - Fabio Lucidi
- Department of Social and Developmental Psychology, Faculty of Medicine and Psychology, “Sapienza” University of Rome, Via dei Marsi 78, 00185 Rome, Italy
| | - Stefano Vicari
- Child and Adolescent Neuropsychiatry Unit, Department of Neuroscience, Bambino Gesù Children’s Hospital, IRCCS, Viale di San Paolo, 15, 00146 Rome, Italy
- Department of Life Sciences and Public Health, Catholic University, Largo Francesco Vito 1, 00168 Rome, Italy
| | - Laura Mandolesi
- Department of Humanities, “Federico II” University, Via Porta di Massa 1, 80138 Naples, Italy
| | - Patrizia Turriziani
- Department of Psychology, Educational Sciences and Human Movement, University of Palermo, Via delle Scienze, Ed. 15, 90128 Palermo, Italy
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8
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Dwyer P, Takarae Y, Zadeh I, Rivera SM, Saron CD. Multisensory integration and interactions across vision, hearing, and somatosensation in autism spectrum development and typical development. Neuropsychologia 2022; 175:108340. [PMID: 36028085 DOI: 10.1016/j.neuropsychologia.2022.108340] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 06/13/2022] [Accepted: 07/22/2022] [Indexed: 10/15/2022]
Abstract
Most prior studies of multisensory integration (MSI) in autism have measured MSI in only a single combination of modalities - typically audiovisual integration. The present study used onset reaction times (RTs) and 125-channel electroencephalography (EEG) to examine different forms of bimodal and trimodal MSI based on combinations of auditory (noise burst), somatosensory (finger tap), and visual (flash) stimuli presented in a spatially-aligned manner using a custom desktop apparatus. A total of 36 autistic and 19 non-autistic adolescents between the ages of 11-14 participated. Significant RT multisensory facilitation relative to summed unisensory RT was observed in both groups, as were significant differences between summed unisensory and multisensory ERPs. Although the present study's statistical approach was not intended to test effect latencies, these interactions may have begun as early as ∼45 ms, constituting "early" (<100 ms) MSI. RT and ERP measurements of MSI appeared independent of one another. Groups did not significantly differ in multisensory RT facilitation, but we found exploratory evidence of group differences in the magnitude of audiovisual interactions in ERPs. Future research should make greater efforts to explore MSI in under-represented populations, especially autistic people with intellectual disabilities and nonspeaking/minimally-verbal autistic people.
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Affiliation(s)
- Patrick Dwyer
- Department of Psychology, UC Davis, USA; Center for Mind and Brain, UC Davis, USA.
| | - Yukari Takarae
- Department of Neurosciences, UC San Diego, USA; Department of Psychology, San Diego State University, USA
| | | | - Susan M Rivera
- Department of Psychology, UC Davis, USA; Center for Mind and Brain, UC Davis, USA; MIND Institute, UC Davis, USA
| | - Clifford D Saron
- Center for Mind and Brain, UC Davis, USA; MIND Institute, UC Davis, USA
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9
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Kaur S, Espenhahn S, Bell T, Godfrey KJ, Nwaroh C, Giuffre A, Cole L, Beltrano W, Yan T, Stokoe M, Haynes L, Hou TY, Tommerdahl M, Bray S, Harris AD. Nonlinear age effects in tactile processing from early childhood to adulthood. Brain Behav 2022; 12:e2644. [PMID: 35676225 PMCID: PMC9304836 DOI: 10.1002/brb3.2644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 05/10/2022] [Accepted: 05/12/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Tactile processing plays a pivotal role in the early stages of human development; however, little is known about tactile function in young children. An understanding of how tactile processing changes with age from early childhood to adulthood is fundamental in understanding altered tactile experiences in neurodevelopmental disorders, such as autism spectrum disorder. METHODS In this cross-sectional study, 142 children and adults aged 3-23 years completed a vibrotactile testing battery consisting of 5 tasks, which rely on different cortical and cognitive mechanisms. The battery was designed to be suitable for testing in young children to investigate how tactile processing changes from early childhood to adulthood. RESULTS Our results suggest a pattern of rapid, age-related changes in tactile processing toward lower discrimination thresholds (lower discrimination thresholds = greater sensitivity) across early childhood, though we acknowledge limitations with cross-sectional data. Differences in the rate of change across tasks were observed, with tactile performance reaching adult-like levels at a younger age on some tasks compared to others. CONCLUSIONS While it is known that early childhood is a period of profound development including tactile processing, our data provides evidence for subtle differences in the developmental rate of the various underlying cortical, physical, and cognitive processes. Further, we are the first to show the feasibility of vibrotactile testing in early childhood (<6 years). The results of this work provide estimates of age-related differences in performance, which could have important implications as a reference for investigating altered tactile processing in developmental disorders.
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Affiliation(s)
- Sakshi Kaur
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Svenja Espenhahn
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Tiffany Bell
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Kate J Godfrey
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Neuroscience, University of Calgary, Calgary, Alberta, Canada
| | - Chidera Nwaroh
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Adrianna Giuffre
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Neuroscience, University of Calgary, Calgary, Alberta, Canada
| | - Lauran Cole
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Neuroscience, University of Calgary, Calgary, Alberta, Canada
| | - Winnica Beltrano
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Tingting Yan
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Mehak Stokoe
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Logan Haynes
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Tasha Yuntao Hou
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Mark Tommerdahl
- Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Signe Bray
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Ashley D Harris
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
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10
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Dwyer P, Takarae Y, Zadeh I, Rivera SM, Saron CD. A Multidimensional Investigation of Sensory Processing in Autism: Parent- and Self-Report Questionnaires, Psychophysical Thresholds, and Event-Related Potentials in the Auditory and Somatosensory Modalities. Front Hum Neurosci 2022; 16:811547. [PMID: 35620155 PMCID: PMC9127065 DOI: 10.3389/fnhum.2022.811547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 04/06/2022] [Indexed: 11/13/2022] Open
Abstract
Background Reconciling results obtained using different types of sensory measures is a challenge for autism sensory research. The present study used questionnaire, psychophysical, and neurophysiological measures to characterize autistic sensory processing in different measurement modalities. Methods Participants were 46 autistic and 21 typically developing 11- to 14-year-olds. Participants and their caregivers completed questionnaires regarding sensory experiences and behaviors. Auditory and somatosensory event-related potentials (ERPs) were recorded as part of a multisensory ERP task. Auditory detection, tactile static detection, and tactile spatial resolution psychophysical thresholds were measured. Results Sensory questionnaires strongly differentiated between autistic and typically developing individuals, while little evidence of group differences was observed in psychophysical thresholds. Crucially, the different types of measures (neurophysiological, psychophysical, questionnaire) appeared to be largely independent of one another. However, we unexpectedly found autistic participants with larger auditory Tb ERP amplitudes had reduced hearing acuity, even though all participants had hearing acuity in the non-clinical range. Limitations The autistic and typically developing groups were not matched on cognitive ability, although this limitation does not affect our main analyses regarding convergence of measures within autism. Conclusion Overall, based on these results, measures in different sensory modalities appear to capture distinct aspects of sensory processing in autism, with relatively limited convergence between questionnaires and laboratory-based tasks. Generally, this might reflect the reality that laboratory tasks are often carried out in controlled environments without background stimuli to compete for attention, a context which may not closely resemble the busier and more complex environments in which autistic people's atypical sensory experiences commonly occur. Sensory questionnaires and more naturalistic laboratory tasks may be better suited to explore autistic people's real-world sensory challenges. Further research is needed to replicate and investigate the drivers of the unexpected association we observed between auditory Tb ERP amplitudes and hearing acuity, which could represent an important confound for ERP researchers to consider in their studies.
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Affiliation(s)
- Patrick Dwyer
- Neurocognitive Development Lab, Center for Mind and Brain, University of California, Davis, Davis, CA, United States
- Department of Psychology, University of California, Davis, Davis, CA, United States
- MIND Institute, University of California, Davis, Davis, CA, United States
| | - Yukari Takarae
- Department of Neurosciences, University of California, San Diego, San Diego, CA, United States
- Department of Psychology, San Diego State University, San Diego, CA, United States
| | - Iman Zadeh
- Oracle Cloud Infrastructure, Oracle Corporation, Los Angeles, CA, United States
| | - Susan M. Rivera
- Neurocognitive Development Lab, Center for Mind and Brain, University of California, Davis, Davis, CA, United States
- Department of Psychology, University of California, Davis, Davis, CA, United States
- MIND Institute, University of California, Davis, Davis, CA, United States
| | - Clifford D. Saron
- MIND Institute, University of California, Davis, Davis, CA, United States
- Saron Lab, Center for Mind and Brain, University of California, Davis, Davis, CA, United States
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11
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Siper PM, Rowe MA, Guillory SB, Rouhandeh AA, George-Jones JL, Tavassoli T, Lurie S, Zweifach J, Weissman J, Foss-Feig J, Halpern D, Trelles MP, Mulhern MS, Brittenham C, Gordon J, Zemon V, Buxbaum JD, Kolevzon A. Visual Evoked Potential Abnormalities in Phelan-McDermid Syndrome. J Am Acad Child Adolesc Psychiatry 2022; 61:565-574.e1. [PMID: 34303785 PMCID: PMC8782912 DOI: 10.1016/j.jaac.2021.07.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 06/28/2021] [Accepted: 07/15/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE The current study used visual evoked potentials (VEPs) to examine excitatory and inhibitory postsynaptic activity in children with Phelan-McDermid syndrome (PMS) and the association with genetic factors. PMS is caused by haploinsufficiency of SHANK3 on chromosome 22 and represents a common single-gene cause of autism spectrum disorder (ASD) and intellectual disability. METHOD Transient VEPs were obtained from 175 children, including 31 with PMS, 79 with idiopathic ASD, 45 typically developing controls, and 20 unaffected siblings of children with PMS. Stimuli included standard and short-duration contrast-reversing checkerboard conditions, and the reliability between these 2 conditions was assessed. Test-retest reliability and correlations with deletion size were explored in the group with PMS. RESULTS Children with PMS and, to a lesser extent, those with idiopathic ASD displayed significantly smaller amplitudes and decreased beta and gamma band activity relative to TD controls and PMS siblings. Across groups, high intraclass correlation coefficients were obtained between standard and short-duration conditions. In children with PMS, test-retest reliability was strong. Deletion size was significantly correlated with P60-N75 amplitude for both conditions. CONCLUSION Children with PMS displayed distinct transient VEP waveform abnormalities in both time and frequency domains that might reflect underlying glutamatergic deficits that were associated with deletion size. A similar response pattern was observed in a subset of children with idiopathic ASD. VEPs offer a noninvasive measure of excitatory and inhibitory neurotransmission that holds promise for stratification and surrogate endpoints in ongoing clinical trials in PMS and ASD.
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12
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Roberts TPL, Kuschner ES, Edgar JC. Biomarkers for autism spectrum disorder: opportunities for magnetoencephalography (MEG). J Neurodev Disord 2021; 13:34. [PMID: 34525943 PMCID: PMC8442415 DOI: 10.1186/s11689-021-09385-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 05/03/2021] [Indexed: 11/17/2022] Open
Abstract
This paper reviews a candidate biomarker for ASD, the M50 auditory evoked response component, detected by magnetoencephalography (MEG) and presents a position on the roles and opportunities for such a biomarker, as well as converging evidence from allied imaging techniques (magnetic resonance imaging, MRI and spectroscopy, MRS). Data is presented on prolonged M50 latencies in ASD as well as extension to include children with ASD with significant language and cognitive impairments in whom M50 latency delays are exacerbated. Modeling of the M50 latency by consideration of the properties of auditory pathway white matter is shown to be successful in typical development but challenged by heterogeneity in ASD; this, however, is capitalized upon to identify a distinct subpopulation of children with ASD whose M50 latencies lie well outside the range of values predictable from the typically developing model. Interestingly, this subpopulation is characterized by low levels of the inhibitory neurotransmitter GABA. Following from this, we discuss a potential use of the M50 latency in indicating “target engagement” acutely with administration of a GABA-B agonist, potentially distinguishing “responders” from “non-responders” with the implication of optimizing inclusion for clinical trials of such agents. Implications for future application, including potential evaluation of infants with genetic risk factors, are discussed. As such, the broad scope of potential of a representative candidate biological marker, the M50 latency, is introduced along with potential future applications. This paper outlines a strategy for understanding brain dysfunction in individuals with intellectual and developmental disabilities (IDD). It is proposed that a multimodal approach (collection of brain structure, chemistry, and neuronal functional data) will identify IDD subpopulations who share a common disease pathway, and thus identify individuals with IDD who might ultimately benefit from specific treatments. After briefly demonstrating the need and potential for scope, examples from studies examining brain function and structure in children with autism spectrum disorder (ASD) illustrate how measures of brain neuronal function (from magnetoencephalography, MEG), brain structure (from magnetic resonance imaging, MRI, especially diffusion MRI), and brain chemistry (MR spectroscopy) can help us better understand the heterogeneity in ASD and form the basis of multivariate biological markers (biomarkers) useable to define clinical subpopulations. Similar approaches can be applied to understand brain dysfunction in neurodevelopmental disorders (NDD) in general. In large part, this paper represents our endeavors as part of the CHOP/Penn NICHD-funded intellectual and developmental disabilities research center (IDDRC) over the past decade.
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Affiliation(s)
- Timothy P L Roberts
- Dept. of Radiology, Lurie Family Foundations MEG Imaging Center, Children's Hospital of Philadelphia, 3401 Civic Center Blvd., Philadelphia, PA, 19104, USA.
| | - Emily S Kuschner
- Dept. of Radiology, Lurie Family Foundations MEG Imaging Center, Children's Hospital of Philadelphia, 3401 Civic Center Blvd., Philadelphia, PA, 19104, USA
| | - J Christopher Edgar
- Dept. of Radiology, Lurie Family Foundations MEG Imaging Center, Children's Hospital of Philadelphia, 3401 Civic Center Blvd., Philadelphia, PA, 19104, USA
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13
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Williams ZJ, Abdelmessih PG, Key AP, Woynaroski TG. Cortical Auditory Processing of Simple Stimuli Is Altered in Autism: A Meta-analysis of Auditory Evoked Responses. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 6:767-781. [PMID: 33229245 PMCID: PMC8639293 DOI: 10.1016/j.bpsc.2020.09.011] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 09/15/2020] [Accepted: 09/15/2020] [Indexed: 12/29/2022]
Abstract
BACKGROUND Auditory perceptual abnormalities are common in persons on the autism spectrum. The neurophysiologic underpinnings of these differences have frequently been studied using auditory event-related potentials (ERPs) and event-related magnetic fields (ERFs). However, no study to date has quantitatively synthesized this literature to determine whether early auditory ERP/ERF latencies or amplitudes in autistic persons differ from those of typically developing control subjects. METHODS We searched PubMed and ProQuest for studies comparing 1) latencies/amplitudes of P1/M50, N1b, N1c, M100, P2/M200, and/or N2 ERP/ERF components evoked by pure tones and 2) paired-click sensory gating (P1/N1b amplitude suppression) in autistic individuals and typically developing control subjects. Effects were synthesized using Bayesian 3-level meta-analysis. RESULTS In response to pure tones, autistic individuals exhibited prolonged P1/M50 latencies (g = 0.341 [95% credible interval = 0.166, 0.546]), prolonged M100 latencies (g = 0.319 [0.093, 0.550]), reduced N1c amplitudes (g = -0.812 [-1.278, -0.187]), and reduced N2 amplitudes (g = -0.374 [-0.633, -0.179]). There were no practically significant group differences in P2/M200 latencies, N2 latencies, P1/M50 amplitudes, N1b amplitudes, M100 amplitudes, or P2/M200 amplitudes. Paired-click sensory gating was also reduced in autistic individuals (g = -0.389 [-0.619, -0.112]), although this effect was primarily driven by smaller responses to the first click stimulus. CONCLUSIONS Relative to typically developing control subjects, autistic individuals demonstrate multiple alterations in early cortical auditory processing of simple stimuli. However, most group differences were modest in size and based on small numbers of heterogeneous studies with variable quality. Future work is necessary to understand whether these neurophysiologic measures can predict clinically meaningful outcomes or serve as stratification biomarkers for the autistic population.
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Affiliation(s)
- Zachary J Williams
- Medical Scientist Training Program, Vanderbilt University School of Medicine, Nashville, Tennessee; Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee; Frist Center for Autism and Innovation, Vanderbilt University, Nashville, Tennessee; Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
| | - Peter G Abdelmessih
- Neuroscience Undergraduate Program, Vanderbilt University, Nashville, Tennessee
| | - Alexandra P Key
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee; Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Tiffany G Woynaroski
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee; Frist Center for Autism and Innovation, Vanderbilt University, Nashville, Tennessee; Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee; Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, Tennessee
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14
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Mulligan S, Douglas S, Armstrong C. Characteristics of Idiopathic Sensory Processing Disorder in Young Children. Front Integr Neurosci 2021; 15:647928. [PMID: 33994966 PMCID: PMC8113623 DOI: 10.3389/fnint.2021.647928] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 03/29/2021] [Indexed: 11/13/2022] Open
Abstract
This study described the developmental and behavioral characteristics of children identified with idiopathic sensory processing disorder (SPD) as well as the relations among specific types of SPD as proposed by the nosology presented by Miller et al. (2007), adaptive behavior profiles, and behaviors associated with mental functioning. A retrospective, non-experimental design applying descriptive and correlational analyses was used. Data were obtained from clinic medical records of 78 children ages 2 to 7 years who were identified with sensory processing problems affecting daily life, but who did not meet criteria for any other neurodevelopmental or mental disorders following a comprehensive diagnostic evaluation. Results revealed that all SPD types as described by current typologies were well represented with the most common being the over-responsivity sensory modulation subtype. Within the sample, 53% of the children displayed more than one SPD type. Atypical externalizing and internalizing behavior scores associated with various mental disorders as measured by the child behavior checklist (CBCL) fell in the borderline dysfunctional range. Adaptive behavior for all developmental domains was below average, and the severity of SPD symptoms moderately and positively correlated with behaviors associated with mental disorders, and with lower adaptive behavior performance. It was concluded that symptoms characteristic of the various types of idiopathic SPD overlap substantially suggesting that current typologies may include more types/subtypes than are necessary or clinically useful. Children with SPD share similar, but often less severe pathological behaviors associated with other mental or related neurodevelopmental disorders. Psychometrically sound measures of SPD are needed, and further study of the neural mechanisms involved in sensory processing deficits is vital for validating idiopathic SPD as its own diagnostic entity.
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Affiliation(s)
- Shelley Mulligan
- Department of Occupational Therapy, University of New Hampshire, Durham, NH, United States
| | - Sarah Douglas
- Department of Occupational Therapy, University of New Hampshire, Durham, NH, United States
| | - Caitlin Armstrong
- Department of Communication Sciences and Disorders, University of New Hampshire, Durham, NH, United States
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15
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Miller LJ, Marco EJ, Chu RC, Camarata S. Editorial: Sensory Processing Across the Lifespan: A 25-Year Initiative to Understand Neurophysiology, Behaviors, and Treatment Effectiveness for Sensory Processing. Front Integr Neurosci 2021; 15:652218. [PMID: 33897385 PMCID: PMC8063042 DOI: 10.3389/fnint.2021.652218] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 02/24/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Lucy Jane Miller
- Department of Pediatrics (Emeritus), University of Colorado, Denver, CO, United States.,Sensory Therapies and Research Institute for Sensory Processing Disorder, Centennial, CO, United States
| | - Elysa J Marco
- Cortica (United States), San Diego, CA, United States
| | - Robyn C Chu
- Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States.,Growing Healthy Children Therapy Services, Rescue, CA, United States
| | - Stephen Camarata
- School of Medicine, Vanderbilt University, Nashville, TN, United States
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16
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Espenhahn S, Godfrey KJ, Kaur S, Ross M, Nath N, Dmitrieva O, McMorris C, Cortese F, Wright C, Murias K, Dewey D, Protzner AB, McCrimmon A, Bray S, Harris AD. Tactile cortical responses and association with tactile reactivity in young children on the autism spectrum. Mol Autism 2021; 12:26. [PMID: 33794998 PMCID: PMC8017878 DOI: 10.1186/s13229-021-00435-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 03/23/2021] [Indexed: 01/01/2023] Open
Abstract
Background Unusual behavioral reactions to sensory stimuli are frequently reported in individuals on the autism spectrum (AS). Despite the early emergence of sensory features (< age 3) and their potential impact on development and quality of life, little is known about the neural mechanisms underlying sensory reactivity in early childhood autism. Methods Here, we used electroencephalography (EEG) to investigate tactile cortical processing in young children aged 3–6 years with autism and in neurotypical (NT) children. Scalp EEG was recorded from 33 children with autism, including those with low cognitive and/or verbal abilities, and 45 age- and sex-matched NT children during passive tactile fingertip stimulation. We compared properties of early and later somatosensory-evoked potentials (SEPs) and their adaptation with repetitive stimulation between autistic and NT children and assessed whether these neural measures are linked to “real-world” parent-reported tactile reactivity. Results As expected, we found elevated tactile reactivity in children on the autism spectrum. Our findings indicated no differences in amplitude or latency of early and mid-latency somatosensory-evoked potentials (P50, N80, P100), nor adaptation between autistic and NT children. However, latency of later processing of tactile information (N140) was shorter in young children with autism compared to NT children, suggesting faster processing speed in young autistic children. Further, correlational analyses and exploratory analyses using tactile reactivity as a grouping variable found that enhanced early neural responses were associated with greater tactile reactivity in autism. Limitations The relatively small sample size and the inclusion of a broad range of autistic children (e.g., with low cognitive and/or verbal abilities) may have limited our power to detect subtle group differences and associations. Hence, replications are needed to verify these results. Conclusions Our findings suggest that electrophysiological somatosensory cortex processing measures may be indices of “real-world” tactile reactivity in early childhood autism. Together, these findings advance our understanding of the neurophysiological mechanisms underlying tactile reactivity in early childhood autism and, in the clinical context, may have therapeutic implications. Supplementary Information The online version contains supplementary material available at 10.1186/s13229-021-00435-9.
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Affiliation(s)
- Svenja Espenhahn
- Department of Radiology, Cumming School of Medicine, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 4N1, Canada. .,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, AB, Canada. .,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada. .,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
| | - Kate J Godfrey
- Department of Clinical Neuroscience, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Sakshi Kaur
- Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Maia Ross
- Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Niloy Nath
- Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Olesya Dmitrieva
- Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Carly McMorris
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,The Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada.,Werklund School of Education, University of Calgary, Calgary, AB, Canada.,Department of Psychology, Faculty of Arts, University of Calgary, Calgary, AB, Canada
| | - Filomeno Cortese
- Department of Radiology, Cumming School of Medicine, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 4N1, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Charlene Wright
- Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, AB, Canada
| | - Kara Murias
- Department of Clinical Neuroscience, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Deborah Dewey
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.,Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Andrea B Protzner
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.,The Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada.,Department of Psychology, Faculty of Arts, University of Calgary, Calgary, AB, Canada
| | - Adam McCrimmon
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Werklund School of Education, University of Calgary, Calgary, AB, Canada
| | - Signe Bray
- Department of Radiology, Cumming School of Medicine, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 4N1, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, AB, Canada.,Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Ashley D Harris
- Department of Radiology, Cumming School of Medicine, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 4N1, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, AB, Canada.,Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
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17
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Jorgensen AR, Whitehouse AJO, Fox AM, Maybery MT. Delayed cortical processing of auditory stimuli in children with autism spectrum disorder: A meta-analysis of electrophysiological studies. Brain Cogn 2021; 150:105709. [PMID: 33774338 DOI: 10.1016/j.bandc.2021.105709] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 02/15/2021] [Accepted: 02/18/2021] [Indexed: 11/30/2022]
Abstract
Several researchers have hypothesised that individuals with Autism Spectrum Disorder (ASD) show encoding delays in their obligatory event-related potentials (ERPs)/ event-related fields (ERFs) for low-level auditory information compared to neurotypical (NT) samples. However, empirical research has yielded varied findings, such as low-level auditory processing in ASD samples being unimpaired, superior, or impaired compared to NT samples. Diverse outcomes have also been reported for studies investigating ASD-NT differences in functional lateralisation of delays. The lack of consistency across studies has prevented a comprehensive understanding of the overall effects in the autistic population. Therefore, this meta-analysis compared long-latency ERPs and ERFs produced by autistic and NT individuals to non-linguistic auditory stimuli to test, firstly, the robustness of auditory processing differences and, secondly, whether these differences are observed in one or both hemispheres. Nine articles meeting the inclusion criteria were included in the meta-analysis. Meta-analytic results indicated that autistic individuals demonstrate bilaterally delayed P1/ M50 peaks and lateralised delays in the right but not left hemisphere N1/ M100 peak. These results further inform our understanding of auditory processing and lateralisation across the autism spectrum.
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Affiliation(s)
- Anna R Jorgensen
- School of Psychological Science, The University of Western Australia, M304, 35 Stirling Highway, Crawley, Western Australia 6009, Australia.
| | - Andrew J O Whitehouse
- Telethon Kids Institute, The University of Western Australia, Northern Entrance, Perth Children's Hospital, 15 Hospital Ave, Nedlands, Western Australia 6009, Australia
| | - Allison M Fox
- School of Psychological Science, The University of Western Australia, M304, 35 Stirling Highway, Crawley, Western Australia 6009, Australia
| | - Murray T Maybery
- School of Psychological Science, The University of Western Australia, M304, 35 Stirling Highway, Crawley, Western Australia 6009, Australia
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18
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Kuschner ES, Kim M, Bloy L, Dipiero M, Edgar JC, Roberts TPL. MEG-PLAN: a clinical and technical protocol for obtaining magnetoencephalography data in minimally verbal or nonverbal children who have autism spectrum disorder. J Neurodev Disord 2021; 13:8. [PMID: 33485311 PMCID: PMC7827989 DOI: 10.1186/s11689-020-09350-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 12/10/2020] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Neuroimaging research on individuals who have autism spectrum disorder (ASD) has historically been limited primarily to those with age-appropriate cognitive and language performance. Children with limited abilities are frequently excluded from such neuroscience research given anticipated barriers like tolerating the loud sounds associated with magnetic resonance imaging and remaining still during data collection. To better understand brain function across the full range of ASD there is a need to (1) include individuals with limited cognitive and language performance in neuroimaging research (non-sedated, awake) and (2) improve data quality across the performance range. The purpose of this study was to develop, implement, and test the feasibility of a clinical/behavioral and technical protocol for obtaining magnetoencephalography (MEG) data. Participants were 38 children with ASD (8-12 years) meeting the study definition of minimally verbal/nonverbal language. MEG data were obtained during a passive pure-tone auditory task. RESULTS Based on stakeholder feedback, the MEG Protocol for Low-language/cognitive Ability Neuroimaging (MEG-PLAN) was developed, integrating clinical/behavioral and technical components to be implemented by an interdisciplinary team (clinicians, behavior specialists, scientists, and technologists). Using MEG-PLAN, a 74% success rate was achieved for acquiring MEG data, with a 71% success rate for evaluable and analyzable data. Exploratory analyses suggested nonverbal IQ and adaptive skills were related to reaching the point of acquirable data. No differences in group characteristics were observed between those with acquirable versus evaluable/analyzable data. Examination of data quality (evaluable trial count) was acceptable. Moreover, results were reproducible, with high intraclass correlation coefficients for pure-tone auditory latency. CONCLUSIONS Children who have ASD who are minimally verbal/nonverbal, and often have co-occurring cognitive impairments, can be effectively and comfortably supported to complete an electrophysiological exam that yields valid and reproducible results. MEG-PLAN is a protocol that can be disseminated and implemented across research teams and adapted across technologies and neurodevelopmental disorders to collect electrophysiology and neuroimaging data in previously understudied groups of individuals.
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Affiliation(s)
- Emily S Kuschner
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, The Children's Hospital of Philadelphia, 2716 South Street, 5th Floor, Room 5251, Philadelphia, PA, 19146, USA. .,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Mina Kim
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, The Children's Hospital of Philadelphia, 2716 South Street, 5th Floor, Room 5251, Philadelphia, PA, 19146, USA
| | - Luke Bloy
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, The Children's Hospital of Philadelphia, 2716 South Street, 5th Floor, Room 5251, Philadelphia, PA, 19146, USA
| | - Marissa Dipiero
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, The Children's Hospital of Philadelphia, 2716 South Street, 5th Floor, Room 5251, Philadelphia, PA, 19146, USA
| | - J Christopher Edgar
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, The Children's Hospital of Philadelphia, 2716 South Street, 5th Floor, Room 5251, Philadelphia, PA, 19146, USA
| | - Timothy P L Roberts
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, The Children's Hospital of Philadelphia, 2716 South Street, 5th Floor, Room 5251, Philadelphia, PA, 19146, USA
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19
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Atypical EEG Responses to Nonverbal Emotionally Charged Stimuli in Children with ASD. Behav Neurol 2020; 2020:2807946. [PMID: 33082881 PMCID: PMC7556070 DOI: 10.1155/2020/2807946] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 09/10/2020] [Accepted: 09/15/2020] [Indexed: 11/17/2022] Open
Abstract
This study focused on auditory emotional perception in children with low-functioning autism and investigated the children's response to emotionally charged nonverbal sounds which regularly induced emotional response in typically developing (TD) peers. An EEG was conducted, and emotional reactions were assessed using analog scales and images of presented sounds with additional images during the presentation of emotional stimuli. The results showed that EEG and emotional responses to the fearful sounds were similar in TD children and children with autism spectrum disorders (ASD). Both groups of children showed an increase in peak alpha frequency and power of alpha2-band and a decrease in low-frequency bands. Sounds of crying and laughter induced an atypical EEG response in children with ASD, with no change in alpha-band's power and frequency observed in them; this was contrary to the observation in TD children. The decrease in the fractal dimension detected in children with ASD only for sounds of crying and laughter correlated with the accuracy of assessment of these stimuli.
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20
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Crasta JE, Salzinger E, Lin MH, Gavin WJ, Davies PL. Sensory Processing and Attention Profiles Among Children With Sensory Processing Disorders and Autism Spectrum Disorders. Front Integr Neurosci 2020; 14:22. [PMID: 32431600 PMCID: PMC7214749 DOI: 10.3389/fnint.2020.00022] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 03/25/2020] [Indexed: 11/18/2022] Open
Abstract
This study explores the differences in the profile of relationships between sensory processing and attention abilities among children with sensory processing disorder (SPD), autism spectrum disorder (ASD), and typically developing (TD) children. The Test of Everyday Attention for Children (TEA-Ch), a performance-based measure of attention, was administered to 69 children (TD: n = 24; SPD: n = 21; ASD: n = 24), ages 6-10 years. All participants' parents completed the Short Sensory Profile (SSP), a standardized parent-report measure of sensory-related behaviors. Discriminant analyses using the TEA-Ch and the SSP domains revealed two classification functions; the first revealed that both clinical groups significantly differed from the TD group with greater sensory processing challenges in the categories of auditory filtering, under-responsive/seeks sensation, low energy/weak, and taste/smell sensitivity subscales of the SSP. The second function discriminated between the two clinical groups, indicating that children with ASD had significantly greater control and sustained attention deficits and less sensory issues than did children with SPD. Together, the two functions correctly classified 76.8% of the participants as to their group membership. The different profiles of sensory processing and attention abilities in children with SPD and ASD may provide guidance in identifying appropriate individualized therapeutic strategies for these children.
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Affiliation(s)
- Jewel E. Crasta
- Department of Occupational Therapy, Colorado State University, Fort Collins, CO, United States
- Occupational Therapy Division, Ohio State University, Columbus, OH, United States
| | - Emily Salzinger
- Department of Occupational Therapy, Colorado State University, Fort Collins, CO, United States
- Fairfax County Public Schools, Fairfax, VA, United States
| | - Mei-Heng Lin
- Department of Occupational Therapy, Colorado State University, Fort Collins, CO, United States
- Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, United States
| | - William J. Gavin
- Department of Molecular, Cellular & Integrative Neuroscience, Colorado State University, Fort Collins, CO, United States
- School of Music, Theatre, and Dance, Colorado State University, Fort Collins, CO, United States
| | - Patricia L. Davies
- Department of Occupational Therapy, Colorado State University, Fort Collins, CO, United States
- Department of Molecular, Cellular & Integrative Neuroscience, Colorado State University, Fort Collins, CO, United States
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21
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Galiana-Simal A, Vela-Romero M, Romero-Vela VM, Oliver-Tercero N, García-Olmo V, Benito-Castellanos PJ, Muñoz-Martinez V, Beato-Fernandez L. Sensory processing disorder: Key points of a frequent alteration in neurodevelopmental disorders. COGENT MEDICINE 2020. [DOI: 10.1080/2331205x.2020.1736829] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Affiliation(s)
- Adrian Galiana-Simal
- Clínica Centro de Desarrollo Infantil de Ciudad Real (CDICR) C/Eras del cerrillo nº8 Ciudad Real 13004 Spain
| | - Maria Vela-Romero
- Clínica Centro de Desarrollo Infantil de Ciudad Real (CDICR) C/Eras del cerrillo nº8 Ciudad Real 13004 Spain
| | - Victor Manuel Romero-Vela
- Clínica Centro de Desarrollo Infantil de Ciudad Real (CDICR) C/Eras del cerrillo nº8 Ciudad Real 13004 Spain
| | - Nuria Oliver-Tercero
- Clínica Centro de Desarrollo Infantil de Ciudad Real (CDICR) C/Eras del cerrillo nº8 Ciudad Real 13004 Spain
| | - Virginia García-Olmo
- Clínica Centro de Desarrollo Infantil de Ciudad Real (CDICR) C/Eras del cerrillo nº8 Ciudad Real 13004 Spain
| | | | - Victoria Muñoz-Martinez
- Hospital General Universitario de Ciudad Real (HGUCR) C/Obispo Rafael Torija S/N Ciudad Real 13005 Spain
| | - Luis Beato-Fernandez
- Hospital General Universitario de Ciudad Real (HGUCR) C/Obispo Rafael Torija S/N Ciudad Real 13005 Spain
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22
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Molholm S, Murphy JW, Bates J, Ridgway EM, Foxe JJ. Multisensory Audiovisual Processing in Children With a Sensory Processing Disorder (I): Behavioral and Electrophysiological Indices Under Speeded Response Conditions. Front Integr Neurosci 2020; 14:4. [PMID: 32116583 PMCID: PMC7026671 DOI: 10.3389/fnint.2020.00004] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 01/20/2020] [Indexed: 11/23/2022] Open
Abstract
Background Maladaptive reactivity to sensory inputs is commonly observed in neurodevelopmental disorders (e.g., autism, ADHD). Little is known, however, about the underlying neural mechanisms. For some children, atypical sensory reactivity is the primary complaint, despite absence of another identifiable neurodevelopmental diagnosis. Studying Sensory Processing Disorder (SPD) may well provide a window into the neuropathology of these symptoms. It has been proposed that a deficit in sensory integration underlies the SPD phenotype, but objective quantification of sensory integration is lacking. Here we used neural and behavioral measures of multisensory integration (MSI), which would be affected by impaired sensory integration and for which there are well accepted objective measures, to test whether failure to integrate across the senses is associated with atypical sensory reactivity in SPD. An autism group served to determine if observed differences were unique to SPD. Methods We tested whether children aged 6–16 years with SPD (N = 14) integrate multisensory inputs differently from age-matched typically developing controls (TD: N = 54), or from children with an autism spectrum disorder (ASD: N = 44). Participants performed a simple reaction-time task to the occurrence of auditory, visual, and audiovisual stimuli presented in random order, while high-density recordings of electrical brain activity were made. Results Children with SPD showed large reductions in the extent to which they benefited from multisensory inputs compared to TDs. The ASD group showed similarly reduced response speeding to multisensory relative to unisensory inputs. Neural evidence for MSI was seen across all three groups, with the multisensory response differing from the sum of the unisensory responses. Post hoc tests suggested the possibility of enhanced MSI in SPD in timeframes consistent with cortical sensory registration (∼60 ms), followed by reduced MSI during a timeframe consistent with object formation (∼130 ms). The ASD group also showed reduced MSI in the later timeframe. Conclusion Children with SPD showed reduction in their ability to benefit from redundant audio-visual inputs, similar to children with ASD. Neurophysiological recordings, on the other hand, showed that major indices of MSI were largely intact, although post hoc testing pointed to periods of potential differential processing. While these exploratory electrophysiological observations point to potential sensory-perceptual differences in multisensory processing in SPD, it remains equally plausible at this stage that later attentional processing differences may yet prove responsible for the multisensory behavioral deficits uncovered here.
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Affiliation(s)
- Sophie Molholm
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, United States.,Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicin, Bronx, NY, United States.,The Cognitive Neurophysiology Laboratory, The Ernest J. Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | - Jeremy W Murphy
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Juliana Bates
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Elizabeth M Ridgway
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, United States
| | - John J Foxe
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, United States.,Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicin, Bronx, NY, United States.,The Cognitive Neurophysiology Laboratory, The Ernest J. Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
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23
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Abstract
47,XYY syndrome (XYY) is a male sex chromosome disorder where individuals have an X chromosome and two copies of the Y chromosome. XYY is associated with a physical phenotype and carries increased risk of neurodevelopmental disorders such as autism spectrum disorder (ASD). Latencies of auditory evoked responses measured by magnetoencephalography have shown atypical prolongations in several neuropsychiatric and genetic disorders; specifically, delayed auditory responses have been observed in ASD. In this study, we investigated the associations of genotype and clinical phenotype with auditory processing. Whole cortex magnetoencephalography recorded during a passive auditory paradigm (500 Hz tones) was used to assess the auditory evoked response in three groups of male children: idiopathic ASD, typically developing, and XYY boys. Response waveforms were computed for left and right auditory cortex and latencies of the ∼50 ms (M50) and ∼100 ms (M100) components were determined. M50 latencies were significantly delayed compared with typically developing controls in children with ASD in the right hemisphere only, and in children with XYY in the left hemisphere only, irrespective of whether they met diagnostic criteria for ASD. Findings on the later M100 component trended in the same directions but did not attain significance, due to increased variance. Replicating previous findings, decreased M50 and M100 latencies with age were observed bilaterally. Overall, while XYY shares an electrophysiological phenotype (delayed evoked response latency) with idiopathic ASD, the hemispheric differences warrant further investigation.
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24
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Roberts TPL, Matsuzaki J, Blaskey L, Bloy L, Edgar JC, Kim M, Ku M, Kuschner ES, Embick D. Delayed M50/M100 evoked response component latency in minimally verbal/nonverbal children who have autism spectrum disorder. Mol Autism 2019; 10:34. [PMID: 31428297 PMCID: PMC6694560 DOI: 10.1186/s13229-019-0283-3] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Accepted: 07/23/2019] [Indexed: 11/10/2022] Open
Abstract
Abnormal auditory neuromagnetic M50 and M100 responses, reflecting primary/secondary auditory cortex processing, have been reported in children who have autism spectrum disorder (ASD). Some studies have reported an association between delays in these responses and language impairment. However, as most prior research has focused on verbal individuals with ASD without cognitive impairment, rather little is known about neural activity during auditory processing in minimally verbal or nonverbal children who have ASD (ASD-MVNV)-children with little or no speech and often significant cognitive impairment. To understand the neurophysiological mechanisms underlying auditory processing in ASD-MVNV children, magnetoencephalography (MEG) measured M50 and M100 responses arising from left and right superior temporal gyri during tone stimuli in three cohorts: (1) MVNV children who have ASD (ASD-MVNV), (2) verbal children who have ASD and no intellectual disability (ASD-V), and (3) typically developing (TD) children. One hundred and five participants (8-12 years) were included in the final analyses (ASD-MVNV: n = 16, 9.85 ± 1.32 years; ASD-V: n = 55, 10.64 ± 1.31 years; TD: n = 34, 10.18 ± 1.36 years). ASD-MVNV children showed significantly delayed M50 and M100 latencies compared to TD. These delays tended to be greater than the corresponding delays in verbal children with ASD. Across cohorts, delayed latencies were associated with language and communication skills, assessed by the Vineland Adaptive Behavior Scale Communication Domain. Findings suggest that auditory cortex neural activity measures could be dimensional objective indices of language impairment in ASD for either diagnostic (e.g., via threshold or cutoff) or prognostic (considering the continuous variable) use.
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Affiliation(s)
- Timothy P L Roberts
- 1Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104 USA
| | - Junko Matsuzaki
- 1Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104 USA
| | - Lisa Blaskey
- 1Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104 USA.,2Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA USA
| | - Luke Bloy
- 1Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104 USA
| | - J Christopher Edgar
- 1Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104 USA
| | - Mina Kim
- 1Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104 USA.,2Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA USA
| | - Matthew Ku
- 1Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104 USA
| | - Emily S Kuschner
- 1Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104 USA.,2Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA USA
| | - David Embick
- 3Department of Linguistics, University of Pennsylvania, Philadelphia, PA USA
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25
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Payabvash S, Palacios EM, Owen JP, Wang MB, Tavassoli T, Gerdes M, Brandes-Aitken A, Mukherjee P, Marco EJ. White Matter Connectome Correlates of Auditory Over-Responsivity: Edge Density Imaging and Machine-Learning Classifiers. Front Integr Neurosci 2019; 13:10. [PMID: 30983979 PMCID: PMC6450221 DOI: 10.3389/fnint.2019.00010] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Accepted: 03/13/2019] [Indexed: 01/25/2023] Open
Abstract
Sensory over-responsivity (SOR) commonly involves auditory and/or tactile domains, and can affect children with or without additional neurodevelopmental challenges. In this study, we examined white matter microstructural and connectome correlates of auditory over-responsivity (AOR), analyzing prospectively collected data from 39 boys, aged 8–12 years. In addition to conventional diffusion tensor imaging (DTI) maps – including fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD); we used DTI and high-resolution T1 scans to develop connectome Edge Density (ED) maps. The tract-based spatial statistics was used for voxel-wise comparison of diffusion and ED maps. Then, stepwise penalized logistic regression was applied to identify independent variable (s) predicting AOR, as potential imaging biomarker (s) for AOR. Finally, we compared different combinations of machine learning algorithms (i.e., naïve Bayes, random forest, and support vector machine (SVM) and tract-based DTI/connectome metrics for classification of children with AOR. In direct sensory phenotype assessment, 15 (out of 39) boys exhibited AOR (with or without neurodevelopmental concerns). Voxel-wise analysis demonstrates extensive impairment of white matter microstructural integrity in children with AOR on DTI maps – evidenced by lower FA and higher MD and RD; moreover, there was lower connectome ED in anterior-superior corona radiata, genu and body of corpus callosum. In stepwise logistic regression, the average FA of left superior longitudinal fasciculus (SLF) was the single independent variable distinguishing children with AOR (p = 0.007). Subsequently, the left SLF average FA yielded an area under the curve of 0.756 in receiver operating characteristic analysis for prediction of AOR (p = 0.008) as a region-of-interest (ROI)-based imaging biomarker. In comparative study of different combinations of machine-learning models and DTI/ED metrics, random forest algorithms using ED had higher accuracy for AOR classification. Our results demonstrate extensive white matter microstructural impairment in children with AOR, with specifically lower connectomic ED in anterior-superior tracts and associated commissural pathways. Also, average FA of left SLF can be applied as ROI-based imaging biomarker for prediction of SOR. Finally, machine-learning models can provide accurate and objective image-based classifiers for identification of children with AOR based on white matter tracts connectome ED.
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Affiliation(s)
- Seyedmehdi Payabvash
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, United States.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Eva M Palacios
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Julia P Owen
- Department of Radiology, University of Washington, Seattle, WA, United States
| | - Maxwell B Wang
- University of Pittsburg School of Medicine, Pittsburgh, PA, United States
| | - Teresa Tavassoli
- Department of Psychology and Clinical Sciences, University of Reading, Reading, United Kingdom
| | - Molly Gerdes
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - Annie Brandes-Aitken
- Department of Applied Psychology, New York University, New York, NY, United States
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, United States
| | - Elysa J Marco
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States.,Department of Pediatric Neurology, Cortica Healthcare, San Rafael, CA, United States
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26
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Miron O, Beam AL, Kohane IS. Auditory brainstem response in infants and children with autism spectrum disorder: A meta-analysis of wave V. Autism Res 2018; 11:355-363. [PMID: 29087045 PMCID: PMC5836986 DOI: 10.1002/aur.1886] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Revised: 09/06/2017] [Accepted: 10/05/2017] [Indexed: 12/27/2022]
Abstract
Infants with autism spectrum disorder (ASD) were recently found to have prolonged auditory brainstem response (ABR); however, at older ages, findings are contradictory. We compared ABR differences between participants with ASD and controls with respect to age using a meta-analysis. Data sources included MEDLINE, EMBASE, Web of Science, Google Scholar, HOLLIS, and ScienceDirect from their inception to June 2016. The 25 studies that were included had a total of 1349 participants (727 participants with ASD and 622 controls) and an age range of 0-40 years. Prolongation of the absolute latency of wave V in ASD had a significant negative correlation with age (R2 = 0.23; P = 0.01). The 22 studies below age 18 years showed a significantly prolonged wave V in ASD (Standard Mean Difference = 0.6 [95% CI, 0.5-0.8]; P < 0.001). The 3 studies above 18 years of age showed a significantly shorter wave V in ASD (SMD = -0.6 [95% CI, -1.0 to -0.2]; P = 0.004). Prolonged ABR was consistent in infants and children with ASD, suggesting it can serve as an ASD biomarker at infancy. As the ABR is routinely used to screen infants for hearing impairment, the opportunity for replication studies is extensive. Autism Res 2018, 11: 355-363. © 2017 The Authors Autism Research published by International Society for Autism Research and Wiley Periodicals, Inc. LAY SUMMARY Our analysis of previous studies showed that infants and children with autism spectrum disorder (ASD) have a slower brain response to sound, while adults have a faster brain response to sound. This suggests that slower brain response in infants may predict ASD risk. Brain response to sound is routinely tested on newborns to screen hearing impairment, which has created large data sets to afford replication of these results.
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Affiliation(s)
- Oren Miron
- Department of Biomedical InformaticsHarvard Medical SchoolBostonMA
| | - Andrew L. Beam
- Department of Biomedical InformaticsHarvard Medical SchoolBostonMA
| | - Isaac S. Kohane
- Department of Biomedical InformaticsHarvard Medical SchoolBostonMA
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27
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Cheng CH, Niddam DM, Hsu SC, Liu CY, Tsai SY. Resting GABA concentration predicts inhibitory control during an auditory Go-Nogo task. Exp Brain Res 2017; 235:3833-3841. [DOI: 10.1007/s00221-017-5101-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2017] [Accepted: 10/03/2017] [Indexed: 01/27/2023]
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28
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Port RG, Gajewski C, Krizman E, Dow HC, Hirano S, Brodkin ES, Carlson GC, Robinson MB, Roberts TPL, Siegel SJ. Protocadherin 10 alters γ oscillations, amino acid levels, and their coupling; baclofen partially restores these oscillatory deficits. Neurobiol Dis 2017; 108:324-338. [PMID: 28844789 DOI: 10.1016/j.nbd.2017.08.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 08/06/2017] [Accepted: 08/22/2017] [Indexed: 11/20/2022] Open
Abstract
Approximately one in 45 children have been diagnosed with Autism Spectrum Disorder (ASD), which is characterized by social/communication impairments. Recent studies have linked a subset of familial ASD to mutations in the Protocadherin 10 (Pcdh10) gene. Additionally, Pcdh10's expression pattern, as well as its known role within protein networks, implicates the gene in ASD. Subsequently, the neurobiology of mice heterozygous for Pcdh10 (Pcdh10+/-) has been investigated as a proxy for ASD. Male Pcdh10+/- mice have demonstrated sex-specific deficits in social behavior, recapitulating the gender bias observed in ASD. Furthermore, in vitro slice preparations of these Pcdh10+/- mice demonstrate selective decreases to high frequency electrophysiological responses, mimicking clinical observations. The direct in vivo ramifications of such decreased in vitro high frequency responses are unclear. As such, Pcdh10+/- mice and their wild-type (WT) littermates underwent in vivo electrocorticography (ECoG), as well as ex vivo amino acid concentration quantification using High Performance Liquid Chromatography (HPLC). Similar to the previously observed reductions to in vitro high frequency electrophysiological responses in Pcdh10+/- mice, male Pcdh10+/- mice exhibited reduced gamma-band (30-80Hz), but not lower frequency (10 and 20Hz), auditory steady state responses (ASSR). In addition, male Pcdh10+/- mice exhibited decreased signal-to-noise-ratio (SNR) for high gamma-band (60-100Hz) activity. These gamma-band perturbations for both ASSR and SNR were not observed in females. Administration of a GABAB agonist remediated these electrophysiological alterations among male Pcdh10+/-mice. Pcdh10+/- mice demonstrated increased concentrations of GABA and glutamine. Of note, a correlation of auditory gamma-band responses with underlying GABA concentrations was observed in WT mice. This correlation was not present in Pcdh10+/- mice. This study demonstrates the role of Pcdh10 in the regulation of excitatory-inhibitory balance as a function of GABA in ASD.
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Affiliation(s)
- Russell G Port
- Department of Psychiatry, University of Pennsylvania Perelman, School of Medicine, Philadelphia, PA 19104, USA; Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Christopher Gajewski
- Department of Psychiatry, University of Pennsylvania Perelman, School of Medicine, Philadelphia, PA 19104, USA
| | - Elizabeth Krizman
- Children's Hospital of Philadelphia Research Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Pediatric, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Holly C Dow
- Department of Psychiatry, University of Pennsylvania Perelman, School of Medicine, Philadelphia, PA 19104, USA
| | - Shinji Hirano
- Department of Cell Biology, Kansai Medical University, 2-5-1 Shinmachi, Hirakata, Osaka 573-1010, Japan
| | - Edward S Brodkin
- Department of Psychiatry, University of Pennsylvania Perelman, School of Medicine, Philadelphia, PA 19104, USA
| | - Gregory C Carlson
- Department of Psychiatry, University of Pennsylvania Perelman, School of Medicine, Philadelphia, PA 19104, USA
| | - Michael B Robinson
- Children's Hospital of Philadelphia Research Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Pediatric, University of Pennsylvania, Philadelphia, PA 19104, USA; Systems Pharmacology and Experimental Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Timothy P L Roberts
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Steven J Siegel
- Department of Psychiatry, University of Pennsylvania Perelman, School of Medicine, Philadelphia, PA 19104, USA.
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