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Shinsato RN, Correa CG, Herai RH. Genetic network analysis indicate that individuals affected by neurodevelopmental conditions have genetic variations associated with ophthalmologic alterations: A critical review of literature. Gene 2024; 908:148246. [PMID: 38325665 DOI: 10.1016/j.gene.2024.148246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 01/19/2024] [Accepted: 02/02/2024] [Indexed: 02/09/2024]
Abstract
Changes in the nervous system are related to a wide range of mental disorders, which include neurodevelopmental disorders (NDD) that are characterized by early onset mental conditions, such as schizophrenia and autism spectrum disorders and correlated conditions (ASD). Previous studies have shown distinct genetic components associated with diverse schizophrenia and ASD phenotypes, with mostly focused on rescuing neural phenotypes and brain activity, but alterations related to vision are overlooked. Thus, as the vision is composed by the eyes that itself represents a part of the brain, with the retina being formed by neurons and cells originating from the glia, genetic variations affecting the brain can also affect the vision. Here, we performed a critical systematic literature review to screen for all genetic variations in individuals presenting NDD with reported alterations in vision. Using these restricting criteria, we found 20 genes with distinct types of genetic variations, inherited or de novo, that includes SNP, SNV, deletion, insertion, duplication or indel. The variations occurring within protein coding regions have different impact on protein formation, such as missense, nonsense or frameshift. Moreover, a molecular analysis of the 20 genes found revealed that 17 shared a common protein-protein or genetic interaction network. Moreover, gene expression analysis in samples from the brain and other tissues indicates that 18 of the genes found are highly expressed in the brain and retina, indicating their potential role in adult vision phenotype. Finally, we only found 3 genes from our study described in standard public databanks of ophthalmogenetics, suggesting that the other 17 genes could be novel target for vision diseases.
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Affiliation(s)
- Rogério N Shinsato
- Unisalesiano, Araçatuba, São Paulo, Brazil; Laboratory of Bioinformatics and Neurogenetics (LaBiN/LEM), Graduate Program in Health Sciences, School of Medicine and Life Sciences, Pontifícia Universidade Católica do Paraná (PUCPR), Curitiba, Paraná, 80215-901, Brazil.
| | - Camila Graczyk Correa
- Laboratory of Bioinformatics and Neurogenetics (LaBiN/LEM), Graduate Program in Health Sciences, School of Medicine and Life Sciences, Pontifícia Universidade Católica do Paraná (PUCPR), Curitiba, Paraná, 80215-901, Brazil
| | - Roberto H Herai
- Laboratory of Bioinformatics and Neurogenetics (LaBiN/LEM), Graduate Program in Health Sciences, School of Medicine and Life Sciences, Pontifícia Universidade Católica do Paraná (PUCPR), Curitiba, Paraná, 80215-901, Brazil; Research Division, Buko Kaesemodel Institute (IBK), Curitiba, Paraná 80240-000, Brazil; Research Division, 9p Brazil Association (A9pB), Santa Maria, Rio Grande do Sul 97060-580, Brazil.
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2
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Peterson M, Prigge MBD, Floris DL, Bigler ED, Zielinski BA, King JB, Lange N, Alexander AL, Lainhart JE, Nielsen JA. Reduced lateralization of multiple functional brain networks in autistic males. J Neurodev Disord 2024; 16:23. [PMID: 38720286 PMCID: PMC11077748 DOI: 10.1186/s11689-024-09529-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 03/26/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Autism spectrum disorder has been linked to a variety of organizational and developmental deviations in the brain. One such organizational difference involves hemispheric lateralization, which may be localized to language-relevant regions of the brain or distributed more broadly. METHODS In the present study, we estimated brain hemispheric lateralization in autism based on each participant's unique functional neuroanatomy rather than relying on group-averaged data. Additionally, we explored potential relationships between the lateralization of the language network and behavioral phenotypes including verbal ability, language delay, and autism symptom severity. We hypothesized that differences in hemispheric asymmetries in autism would be limited to the language network, with the alternative hypothesis of pervasive differences in lateralization. We tested this and other hypotheses by employing a cross-sectional dataset of 118 individuals (48 autistic, 70 neurotypical). Using resting-state fMRI, we generated individual network parcellations and estimated network asymmetries using a surface area-based approach. A series of multiple regressions were then used to compare network asymmetries for eight significantly lateralized networks between groups. RESULTS We found significant group differences in lateralization for the left-lateralized Language (d = -0.89), right-lateralized Salience/Ventral Attention-A (d = 0.55), and right-lateralized Control-B (d = 0.51) networks, with the direction of these group differences indicating less asymmetry in autistic males. These differences were robust across different datasets from the same participants. Furthermore, we found that language delay stratified language lateralization, with the greatest group differences in language lateralization occurring between autistic males with language delay and neurotypical individuals. CONCLUSIONS These findings evidence a complex pattern of functional lateralization differences in autism, extending beyond the Language network to the Salience/Ventral Attention-A and Control-B networks, yet not encompassing all networks, indicating a selective divergence rather than a pervasive one. Moreover, we observed an association between Language network lateralization and language delay in autistic males.
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Affiliation(s)
- Madeline Peterson
- Department of Psychology, Brigham Young University, Provo, UT, 1070 KMBL, 84602, USA
| | - Molly B D Prigge
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, 84108, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Dorothea L Floris
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich, Switzerland
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Erin D Bigler
- Department of Psychology, Brigham Young University, Provo, UT, 1070 KMBL, 84602, USA
- Neuroscience Center, Brigham Young University, Provo, UT, 84604, USA
- Department of Neurology, University of Utah, Salt Lake City, UT, 84108, USA
- Department of Neurology, University of California-Davis, Davis, CA, USA
| | - Brandon A Zielinski
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, 84108, USA
- Department of Neurology, University of Utah, Salt Lake City, UT, 84108, USA
- Department of Pediatrics, University of Utah, Salt Lake City, UT, 84108, USA
- Division of Pediatric Neurology, Departments of Pediatrics, Neurology, and Neuroscience, College of Medicine, University of Florida, Florida, FL, 32610, USA
| | - Jace B King
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, 84108, USA
| | - Nicholas Lange
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
| | - Andrew L Alexander
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, 53719, USA
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Janet E Lainhart
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, 53719, USA
| | - Jared A Nielsen
- Department of Psychology, Brigham Young University, Provo, UT, 1070 KMBL, 84602, USA.
- Neuroscience Center, Brigham Young University, Provo, UT, 84604, USA.
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3
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Neuhaus E, Rea H, Jones E, Benavidez H, Miles C, Whiting A, Johansson M, Eayrs C, Kurtz-Nelson EC, Earl R, Bernier RA, Eichler EE. Shared and divergent mental health characteristics of ADNP-, CHD8- and DYRK1A-related neurodevelopmental conditions. J Neurodev Disord 2024; 16:15. [PMID: 38622540 PMCID: PMC11017562 DOI: 10.1186/s11689-024-09532-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 04/01/2024] [Indexed: 04/17/2024] Open
Abstract
BACKGROUND Neurodevelopmental conditions such as intellectual disability (ID) and autism spectrum disorder (ASD) can stem from a broad array of inherited and de novo genetic differences, with marked physiological and behavioral impacts. We currently know little about the psychiatric phenotypes of rare genetic variants associated with ASD, despite heightened risk of psychiatric concerns in ASD more broadly. Understanding behavioral features of these variants can identify shared versus specific phenotypes across gene groups, facilitate mechanistic models, and provide prognostic insights to inform clinical practice. In this paper, we evaluate behavioral features within three gene groups associated with ID and ASD - ADNP, CHD8, and DYRK1A - with two aims: (1) characterize phenotypes across behavioral domains of anxiety, depression, ADHD, and challenging behavior; and (2) understand whether age and early developmental milestones are associated with later mental health outcomes. METHODS Phenotypic data were obtained for youth with disruptive variants in ADNP, CHD8, or DYRK1A (N = 65, mean age = 8.7 years, 40% female) within a long-running, genetics-first study. Standardized caregiver-report measures of mental health features (anxiety, depression, attention-deficit/hyperactivity, oppositional behavior) and developmental history were extracted and analyzed for effects of gene group, age, and early developmental milestones on mental health features. RESULTS Patterns of mental health features varied by group, with anxiety most prominent for CHD8, oppositional features overrepresented among ADNP, and attentional and depressive features most prominent for DYRK1A. For the full sample, age was positively associated with anxiety features, such that elevations in anxiety relative to same-age and same-sex peers may worsen with increasing age. Predictive utility of early developmental milestones was limited, with evidence of early language delays predicting greater difficulties across behavioral domains only for the CHD8 group. CONCLUSIONS Despite shared associations with autism and intellectual disability, disruptive variants in ADNP, CHD8, and DYRK1A may yield variable psychiatric phenotypes among children and adolescents. With replication in larger samples over time, efforts such as these may contribute to improved clinical care for affected children and adolescents, allow for earlier identification of emerging mental health difficulties, and promote early intervention to alleviate concerns and improve quality of life.
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Affiliation(s)
- Emily Neuhaus
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA.
- Center On Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, WA, USA.
| | - Hannah Rea
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Elizabeth Jones
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Hannah Benavidez
- Department of Psychology, University of Washington, Seattle, WA, USA
| | - Conor Miles
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Alana Whiting
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Margaret Johansson
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Curtis Eayrs
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | | | - Rachel Earl
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Raphael A Bernier
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, Seattle, WA, USA
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Maw KJ, Beattie G, Burns EJ. Cognitive strengths in neurodevelopmental disorders, conditions and differences: A critical review. Neuropsychologia 2024; 197:108850. [PMID: 38467371 DOI: 10.1016/j.neuropsychologia.2024.108850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 03/04/2024] [Accepted: 03/07/2024] [Indexed: 03/13/2024]
Abstract
Neurodevelopmental disorders are traditionally characterised by a range of associated cognitive impairments in, for example, sensory processing, facial recognition, visual imagery, attention, and coordination. In this critical review, we propose a major reframing, highlighting the variety of unique cognitive strengths that people with neurodevelopmental differences can exhibit. These include enhanced visual perception, strong spatial, auditory, and semantic memory, superior empathy and theory of mind, along with higher levels of divergent thinking. Whilst we acknowledge the heterogeneity of cognitive profiles in neurodevelopmental conditions, we present a more encouraging and affirmative perspective of these groups, contrasting with the predominant, deficit-based position prevalent throughout both cognitive and neuropsychological research. In addition, we provide a theoretical basis and rationale for these cognitive strengths, arguing for the critical role of hereditability, behavioural adaptation, neuronal-recycling, and we draw on psychopharmacological and social explanations. We present a table of potential strengths across conditions and invite researchers to systematically investigate these in their future work. This should help reduce the stigma around neurodiversity, instead promoting greater social inclusion and significant societal benefits.
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Mahjoob M, Paul T, Carbone J, Bokadia H, Cardy RE, Kassam S, Anagnostou E, Andrade BF, Penner M, Kushki A. Predictors of Health-Related Quality of Life in Neurodivergent Children: A Systematic Review. Clin Child Fam Psychol Rev 2024; 27:91-129. [PMID: 38070100 PMCID: PMC10920445 DOI: 10.1007/s10567-023-00462-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/29/2023] [Indexed: 03/08/2024]
Abstract
Health-related Quality of Life (HRQoL) is a multi-faceted construct influenced by a myriad of environmental, demographic, and individual characteristics. Our understanding of these influencers remains highly limited in neurodevelopmental conditions. Existing research in this area is sparse, highly siloed by diagnosis labels, and focused on symptoms. This review synthesized the evidence in this area using a multi-dimensional model of HRQoL and trans-diagnostically across neurodevelopmental conditions. The systematic review, conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Checklist, was completed in June 2023 using Medline, PsycInfo, Embase, PubMed, and Cochrane Library. Our search revealed 78 studies that examined predictors of HRQoL in neurodevelopmental conditions. The majority of these studies focused on autism and ADHD with a paucity of literature in other conditions. Cross-diagnosis investigations were limited despite the fact that many of the examined predictors transcend diagnostic boundaries. Significant gaps were revealed in domains of biology/physiology, functioning, health perceptions, and environmental factors. Very preliminary evidence suggested potentially shared predictors of HRQoL across conditions including positive associations between HRQoL and adaptive functioning, male sex/gender, positive self-perception, physical activity, resources, and positive family context, and negative associations with diagnostic features and mental health symptoms. Studies of transdiagnostic predictors across neurodevelopmental conditions are critically needed to enable care models that address shared needs of neurodivergent individuals beyond diagnostic boundaries. Further understanding of HRQoL from the perspective of neurodivergent communities is a critical area of future work.
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Affiliation(s)
- Maryam Mahjoob
- University of Toronto, Toronto, ON, Canada
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada
| | - Tithi Paul
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada
| | - Julia Carbone
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada
| | - Harshit Bokadia
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada
| | - Robyn E Cardy
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada
| | - Souraiya Kassam
- University of Toronto, Toronto, ON, Canada
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada
| | - Evdokia Anagnostou
- University of Toronto, Toronto, ON, Canada
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada
| | - Brendan F Andrade
- Margaret and Wallace McCain Centre for Child Youth and Family Mental Health, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Melanie Penner
- University of Toronto, Toronto, ON, Canada
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada
| | - Azadeh Kushki
- University of Toronto, Toronto, ON, Canada.
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada.
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Jayashankar A, Bynum B, Butera C, Kilroy E, Harrison L, Aziz-Zadeh L. Connectivity differences between inferior frontal gyrus and mentalizing network in autism as compared to developmental coordination disorder and non-autistic youth. Cortex 2023; 167:115-131. [PMID: 37549452 PMCID: PMC10543516 DOI: 10.1016/j.cortex.2023.06.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 06/08/2023] [Accepted: 06/15/2023] [Indexed: 08/09/2023]
Abstract
Prior studies have compared neural connectivity during mentalizing tasks in autism (ASD) to non-autistic individuals and found reduced connectivity between the inferior frontal gyrus (IFG) and mentalizing regions. However, given that the IFG is involved in motor processing, and about 80% of autistic individuals have motor-related difficulties, it is necessary to explore if these differences are specific to ASD or instead similar across other developmental motor disorders, such as developmental coordination disorder (DCD). Participants (29 ASD, 20 DCD, 31 typically developing [TD]; ages 8-17) completed a mentalizing task in the fMRI scanner, where they were asked to think about why someone was performing an action. Results indicated that the ASD group, as compared to both TD and DCD groups, showed significant functional connectivity differences when mentalizing about other's actions. The left IFG seed revealed ASD connectivity differences with the: bilateral temporoparietal junction (TPJ), left insular cortex, and bilateral dorsolateral prefrontal cortex (DLPFC). Connectivity differences using the right IFG seed revealed ASD differences in the: left insula, and right DLPFC. These results indicate that connectivity differences between the IFG, mentalizing regions, emotion and motor processing regions are specific to ASD and not a result of potentially co-occurring motor differences.
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Affiliation(s)
- Aditya Jayashankar
- Center for Neuroscience of Embodied Cognition (CeNEC), Brain and Creativity Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA; USC Mrs. T.H. Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Brittany Bynum
- Center for Neuroscience of Embodied Cognition (CeNEC), Brain and Creativity Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA; USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA
| | - Christiana Butera
- Center for Neuroscience of Embodied Cognition (CeNEC), Brain and Creativity Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA; USC Mrs. T.H. Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Emily Kilroy
- Center for Neuroscience of Embodied Cognition (CeNEC), Brain and Creativity Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA; USC Mrs. T.H. Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Laura Harrison
- Center for Neuroscience of Embodied Cognition (CeNEC), Brain and Creativity Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA; USC Mrs. T.H. Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Lisa Aziz-Zadeh
- Center for Neuroscience of Embodied Cognition (CeNEC), Brain and Creativity Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA; USC Mrs. T.H. Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA.
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O'Sullivan R, Bissell S, Hamilton A, Bagshaw A, Richards C. Concordance of objective and subjective measures of sleep in children with neurodevelopmental conditions: A systematic review and meta-analysis. Sleep Med Rev 2023; 71:101814. [PMID: 37422998 DOI: 10.1016/j.smrv.2023.101814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/30/2023] [Accepted: 06/27/2023] [Indexed: 07/11/2023]
Abstract
The purpose of this systematic review and meta-analysis is to delineate the concordance of objective and subjective measures of sleep in children with neurodevelopmental conditions (NDCs). A systematic literature search identified 31 studies that compare objective and subjective estimates of sleep parameters in autism, ADHD or rare genetic syndromes associated with intellectual disability. The meta-analyses revealed smaller mean differences and larger correlations indicative of greater concordance for parameters associated with sleep scheduling compared to parameters associated with sleep duration and night awakenings. Relative to objective measures, subjective measures produced: 1) greater estimates of total sleep time, sleep efficiency and time in bed; and 2) lower estimates of wake after sleep onset and number of night awakenings. Subgroup analyses also revealed differences in concordance between measurement comparison types (e.g., stronger correlations between actigraphy and sleep diaries, compared to actigraphy and questionnaires) and NDC diagnostic groups. The results predominantly replicate concordance trends observed in typically-developing samples, although some NDC-specific patterns of concordance were identified. This indicates that objective and subjective sleep measures retain broadly similar properties across populations, although researchers and clinicians should be cautious of the impact of NDC-related characteristics on sleep parameter estimates. These findings should inform sleep assessment design and the interpretation of sleep parameter estimates in NDCs, increasing the rigour of sleep parameter description across research and clinical settings.
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Affiliation(s)
- Rory O'Sullivan
- School of Psychology, University of Birmingham, UK; Cerebra Network for Neurodevelopmental Disorders, University of Birmingham, UK.
| | - Stacey Bissell
- School of Psychology, University of Birmingham, UK; Cerebra Network for Neurodevelopmental Disorders, University of Birmingham, UK
| | - Anna Hamilton
- School of Psychology, University of Birmingham, UK; Cerebra Network for Neurodevelopmental Disorders, University of Birmingham, UK
| | - Andrew Bagshaw
- School of Psychology, University of Birmingham, UK; Centre for Human Brain Health, University of Birmingham, UK
| | - Caroline Richards
- School of Psychology, University of Birmingham, UK; Cerebra Network for Neurodevelopmental Disorders, University of Birmingham, UK
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Bloch C, Viswanathan S, Tepest R, Jording M, Falter-Wagner CM, Vogeley K. Differentiated, rather than shared, strategies for time-coordinated action in social and non-social domains in autistic individuals. Cortex 2023; 166:207-232. [PMID: 37393703 DOI: 10.1016/j.cortex.2023.05.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 05/15/2023] [Accepted: 05/19/2023] [Indexed: 07/04/2023]
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental condition with a highly heterogeneous adult phenotype that includes social and non-social behavioral characteristics. The link between the characteristics assignable to the different domains remains unresolved. One possibility is that social and non-social behaviors in autism are modulated by a common underlying deficit. However, here we report evidence supporting an alternative concept that is individual-centered rather than deficit-centered. Individuals are assumed to have a distinctive style in the strategies they adopt to perform social and non-social tasks with these styles presumably being structured differently between autistic individuals and typically-developed (TD) individuals. We tested this hypothesis for the execution of time-coordinated (synchronized) actions. Participants performed (i) a social task that required synchronized gaze and pointing actions to interact with another person, and (ii) a non-social task that required finger-tapping actions synchronized to periodic stimuli at different time-scales and sensory modalities. In both tasks, synchronization behavior differed between ASD and TD groups. However, a principal component analysis of individual behaviors across tasks revealed associations between social and non-social features for the TD persons but such cross-domain associations were strikingly absent for autistic individuals. The highly differentiated strategies between domains in ASD are inconsistent with a general synchronization deficit and instead highlight the individualized developmental heterogeneity in the acquisition of domain-specific behaviors. We propose a cognitive model to help disentangle individual-centered from deficit-centered effects in other domains. Our findings reinforce the importance to identify individually differentiated phenotypes to personalize autism therapies.
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Affiliation(s)
- Carola Bloch
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; Department of Psychiatry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
| | - Shivakumar Viswanathan
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, Jülich, Germany
| | - Ralf Tepest
- Department of Psychiatry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Mathis Jording
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, Jülich, Germany
| | | | - Kai Vogeley
- Department of Psychiatry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany; Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, Jülich, Germany
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9
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Torenvliet C, Groenman AP, Lever AG, Ridderinkhof KR, Geurts HM. Prepotent response inhibition in autism: Not an inhibitory deficit? Cortex 2023; 166:275-285. [PMID: 37437321 DOI: 10.1016/j.cortex.2023.05.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 03/16/2023] [Accepted: 05/23/2023] [Indexed: 07/14/2023]
Abstract
Research outcomes on prepotent response inhibition in neurodevelopmental conditions during adulthood seem inconsistent, especially in autism. To gain further insight in these inconsistencies, the current study investigates inhibitory performance, as well as task strategies such as adaptive behavior during inhibitory tasks in autistic adults. As Attention-Deficit/Hyperactivity Disorder (ADHD) is often co-occurring in autism and associated with differences in both inhibition and adaptation, the role of ADHD symptoms is explored. Additionally, prior research is extended to middle- and late-adulthood, and the role of cognitive aging is assessed. Hundred-and-five autistic adults and 139 non-autistic adults (age: 20-80 yrs) were compared on a Go-NoGo task. No significant group differences in inhibitory difficulties (commission errors) or adaptation (post error slowing) were observed, and both did not relate significantly to ADHD symptoms. However, when controlling for reaction time autistic individuals made significantly more inhibitory errors than non-autistic individuals, yet the effect size was modest (Cohen's d = .27). Exploratory analyses showed that adaption significantly related to inhibition in non-autistic individuals only, possibly hinting at altered adaptive behavior during inhibitory tasks in autistic adults. ADHD symptoms related to response variability in the autism group only. Furthermore, task strategy changed with older age in both groups, with slower and more cautious responses at older age. Taken together, although minor differences may exist, autistic and non-autistic people show largely similar patterns of inhibitory behavior throughout adulthood. Differences in task timing and strategy seem relevant for future longitudinal studies on cognitive aging across neurodevelopmental conditions.
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Affiliation(s)
- Carolien Torenvliet
- Dutch Autism & ADHD Research Center, Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands.
| | - Annabeth P Groenman
- Dutch Autism & ADHD Research Center, Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands; Research Institute Child Development and Education, University of Amsterdam, Amsterdam, the Netherlands
| | - Anne G Lever
- Dutch Autism & ADHD Research Center, Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands
| | | | - Hilde M Geurts
- Dutch Autism & ADHD Research Center, Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands; Dr. Leo Kannerhuis, Autism Clinic (Youz/Parnassia Group), Amsterdam, the Netherlands
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10
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Vibert B, Segura P, Gallagher L, Georgiades S, Pervanidou P, Thurm A, Alexander L, Anagnostou E, Aoki Y, Birken CS, Bishop SL, Boi J, Bravaccio C, Brentani H, Canevini P, Carta A, Charach A, Costantino A, Cost KT, Cravo EA, Crosbie J, Davico C, Donno F, Fujino J, Gabellone A, Geyer CT, Hirota T, Kanne S, Kawashima M, Kelley E, Kim H, Kim YS, Kim SH, Korczak DJ, Lai MC, Margari L, Marzulli L, Masi G, Mazzone L, McGrath J, Monga S, Morosini P, Nakajima S, Narzisi A, Nicolson R, Nikolaidis A, Noda Y, Nowell K, Polizzi M, Portolese J, Riccio MP, Saito M, Schwartz I, Simhal AK, Siracusano M, Sotgiu S, Stroud J, Sumiya F, Tachibana Y, Takahashi N, Takahashi R, Tamon H, Tancredi R, Vitiello B, Zuddas A, Leventhal B, Merikangas K, Milham MP, Di Martino A. CRISIS AFAR: an international collaborative study of the impact of the COVID-19 pandemic on mental health and service access in youth with autism and neurodevelopmental conditions. Mol Autism 2023; 14:7. [PMID: 36788583 PMCID: PMC9928142 DOI: 10.1186/s13229-022-00536-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 12/26/2022] [Indexed: 02/16/2023] Open
Abstract
BACKGROUND Heterogeneous mental health outcomes during the COVID-19 pandemic are documented in the general population. Such heterogeneity has not been systematically assessed in youth with autism spectrum disorder (ASD) and related neurodevelopmental disorders (NDD). To identify distinct patterns of the pandemic impact and their predictors in ASD/NDD youth, we focused on pandemic-related changes in symptoms and access to services. METHODS Using a naturalistic observational design, we assessed parent responses on the Coronavirus Health and Impact Survey Initiative (CRISIS) Adapted For Autism and Related neurodevelopmental conditions (AFAR). Cross-sectional AFAR data were aggregated across 14 European and North American sites yielding a clinically well-characterized sample of N = 1275 individuals with ASD/NDD (age = 11.0 ± 3.6 years; n females = 277). To identify subgroups with differential outcomes, we applied hierarchical clustering across eleven variables measuring changes in symptoms and access to services. Then, random forest classification assessed the importance of socio-demographics, pre-pandemic service rates, clinical severity of ASD-associated symptoms, and COVID-19 pandemic experiences/environments in predicting the outcome subgroups. RESULTS Clustering revealed four subgroups. One subgroup-broad symptom worsening only (20%)-included youth with worsening across a range of symptoms but with service disruptions similar to the average of the aggregate sample. The other three subgroups were, relatively, clinically stable but differed in service access: primarily modified services (23%), primarily lost services (6%), and average services/symptom changes (53%). Distinct combinations of a set of pre-pandemic services, pandemic environment (e.g., COVID-19 new cases, restrictions), experiences (e.g., COVID-19 Worries), and age predicted each outcome subgroup. LIMITATIONS Notable limitations of the study are its cross-sectional nature and focus on the first six months of the pandemic. CONCLUSIONS Concomitantly assessing variation in changes of symptoms and service access during the first phase of the pandemic revealed differential outcome profiles in ASD/NDD youth. Subgroups were characterized by distinct prediction patterns across a set of pre- and pandemic-related experiences/contexts. Results may inform recovery efforts and preparedness in future crises; they also underscore the critical value of international data-sharing and collaborations to address the needs of those most vulnerable in times of crisis.
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Affiliation(s)
- Bethany Vibert
- grid.428122.f0000 0004 7592 9033Autism Center, Child Mind Institute, 101 E 56Th Street, Third Floor, New York, NY USA
| | - Patricia Segura
- grid.428122.f0000 0004 7592 9033Autism Center, Child Mind Institute, 101 E 56Th Street, Third Floor, New York, NY USA
| | - Louise Gallagher
- grid.8217.c0000 0004 1936 9705Department of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Stelios Georgiades
- grid.25073.330000 0004 1936 8227Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON Canada
| | - Panagiota Pervanidou
- Unit of Developmental and Behavioral Pediatrics, First Department of Pediatrics, School of Medicine, National & Kapodistrian University of Athens, “Aghia Sophia” Children’s Hospital, Athens, Greece
| | - Audrey Thurm
- grid.416868.50000 0004 0464 0574Neurodevelopmental and Behavioral Phenotyping Service, National Institute of Mental Health, Bethesda, MD USA
| | - Lindsay Alexander
- grid.428122.f0000 0004 7592 9033Center for the Developing Brain, Child Mind Institute, New York, NY USA
| | - Evdokia Anagnostou
- grid.414294.e0000 0004 0572 4702Autism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Department of Paediatrics, University of Toronto, Toronto, ON Canada
| | - Yuta Aoki
- grid.410714.70000 0000 8864 3422Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Catherine S. Birken
- grid.17063.330000 0001 2157 2938Department of Pediatrics, School of Medicine, University of Toronto, Toronto, ON Canada ,grid.42327.300000 0004 0473 9646Division of Paediatric Medicine, Hospital for Sick Children, Toronto, ON Canada
| | - Somer L. Bishop
- grid.266102.10000 0001 2297 6811Department of Psychiatry and Behavioral Sciences and Weill Institute for Neurosciences, University of California, San Francisco, CA USA
| | - Jessica Boi
- grid.7763.50000 0004 1755 3242Department of Biomedical Sciences, Section of Neuroscience & Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Carmela Bravaccio
- grid.4691.a0000 0001 0790 385XUOSD di Neuropsichiatria Infantile - Dipartimento di Scienze Mediche Traslazionali, Università Federico II di Napoli, Naples, Italy
| | - Helena Brentani
- grid.11899.380000 0004 1937 0722Department of Psychiatry, Hospital das Clinicas HCFMUSP, Faculty of Medicine, University of São Paulo (USP), São Paulo, Brazil
| | - Paola Canevini
- grid.4708.b0000 0004 1757 2822Department of Health Sciences, Università Degli Studi Di Milano, Milan, Italy ,grid.415093.a0000 0004 1793 3800Epilepsy Center - Sleep Medicine Center, Childhood and Adolescence Neuropsychiatry Unit, ASST SS. Paolo E Carlo, San Paolo Hospital, Milan, Italy
| | - Alessandra Carta
- Department of Medical, Surgical and Pharmacy, Unit of Child Neuropsychiatry, University Hospital of Sassari, Sassari, Italy
| | - Alice Charach
- grid.42327.300000 0004 0473 9646Department of Psychiatry, Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON Canada
| | - Antonella Costantino
- grid.414818.00000 0004 1757 8749Child and Adolescent Neuropsychiatric Unit, Foundation IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Katherine T. Cost
- grid.42327.300000 0004 0473 9646Department of Psychiatry, Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, Toronto, ON Canada
| | - Elaine A Cravo
- grid.20736.300000 0001 1941 472XUFPR - Federal University of Paraná, Paraná, Brazil
| | - Jennifer Crosbie
- grid.42327.300000 0004 0473 9646Department of Psychiatry, Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON Canada
| | - Chiara Davico
- grid.7605.40000 0001 2336 6580Department of Public Health and Pediatric Sciences, Section of Child and Adolescent Neuropsychiatry, University of Turin, Turin, Italy
| | - Federica Donno
- grid.7763.50000 0004 1755 3242Department of Biomedical Sciences, Section of Neuroscience & Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Junya Fujino
- grid.265073.50000 0001 1014 9130Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Alessandra Gabellone
- grid.7644.10000 0001 0120 3326Department of Precision and Regenerative Medicine and Ionian Area, (DiMePRe-J), University of Bari “Aldo Moro”, Bari, Italy
| | - Cristiane T Geyer
- grid.20736.300000 0001 1941 472XUFPR - Federal University of Paraná, Paraná, Brazil
| | - Tomoya Hirota
- grid.266102.10000 0001 2297 6811Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA USA ,grid.257016.70000 0001 0673 6172Department of Neuropsychiatry, Graduate School of Medicine, Hirosaki University, Hirosaki, Aomori, Japan
| | - Stephen Kanne
- grid.5386.8000000041936877XDepartment of Psychiatry, Weill Cornell Medical College, Center for Autism and the Developing Brain, New York, NY USA
| | | | - Elizabeth Kelley
- grid.410356.50000 0004 1936 8331Department of Psychology, Queens University, Kingston, ON Canada
| | - Hosanna Kim
- grid.266102.10000 0001 2297 6811The UCSF Center for ASD & NDDs, University of California San Francisco, San Francisco, CA USA
| | - Young Shin Kim
- grid.266102.10000 0001 2297 6811The UCSF Center for ASD & NDDs, University of California San Francisco, San Francisco, CA USA
| | - So Hyun Kim
- grid.222754.40000 0001 0840 2678School of Psychology and Psychiatry, Korea University, Seoul, South Korea
| | - Daphne J. Korczak
- grid.42327.300000 0004 0473 9646Department of Psychiatry, Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON Canada
| | - Meng-Chuan Lai
- grid.42327.300000 0004 0473 9646Department of Psychiatry, Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON Canada ,grid.5335.00000000121885934Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK ,grid.155956.b0000 0000 8793 5925Centre for Addiction and Mental Health, Toronto, ON Canada ,grid.412094.a0000 0004 0572 7815Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Lucia Margari
- grid.7644.10000 0001 0120 3326Department of Precision and Regenerative Medicine and Ionian Area, (DiMePRe-J), University of Bari “Aldo Moro”, Bari, Italy
| | - Lucia Marzulli
- grid.7644.10000 0001 0120 3326Department of Precision and Regenerative Medicine and Ionian Area, (DiMePRe-J), University of Bari “Aldo Moro”, Bari, Italy
| | - Gabriele Masi
- IRCCS Stella Maris Foundation, Calambrone-Pisa, Italy
| | - Luigi Mazzone
- grid.6530.00000 0001 2300 0941Child Neurology and Psychiatry Unit, Systems Medicine Department, University of Rome Tor Vergata, Rome, Italy
| | - Jane McGrath
- grid.8217.c0000 0004 1936 9705Department of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland ,39ADMiRE, Linn Dara Child and Adolescent Mental Health Services, Cherry Orchard Hospital, Ballyfermot, Dublin, Ireland
| | - Suneeta Monga
- grid.42327.300000 0004 0473 9646Department of Psychiatry, Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON Canada
| | - Paola Morosini
- Unita’ Operativa di Neuropsichiatria dell’ Infanzia e dell’ adolescenza, Lodi, Italy
| | - Shinichiro Nakajima
- grid.26091.3c0000 0004 1936 9959Keio University School of Medicine, Tokyo, Japan
| | | | - Rob Nicolson
- grid.39381.300000 0004 1936 8884Department of Psychiatry, University of Western Ontario, London, ON Canada
| | - Aki Nikolaidis
- grid.428122.f0000 0004 7592 9033Center for the Developing Brain, Child Mind Institute, New York, NY USA
| | - Yoshihiro Noda
- grid.26091.3c0000 0004 1936 9959Keio University School of Medicine, Tokyo, Japan
| | - Kerri Nowell
- grid.134936.a0000 0001 2162 3504Thompson Center of Neurodevelopmental Disorders, University of Missouri, Columbia, MO USA
| | - Miriam Polizzi
- grid.4691.a0000 0001 0790 385XUOSD di Neuropsichiatria Infantile - Dipartimento di Scienze Mediche Traslazionali, Università Federico II di Napoli, Naples, Italy
| | - Joana Portolese
- grid.11899.380000 0004 1937 0722Department of Psychiatry, Hospital das Clinicas HCFMUSP, Faculty of Medicine, University of São Paulo (USP), São Paulo, Brazil
| | - Maria Pia Riccio
- grid.4691.a0000 0001 0790 385XUOSD di Neuropsichiatria Infantile - Dipartimento di Scienze Mediche Traslazionali, Università Federico II di Napoli, Naples, Italy
| | - Manabu Saito
- grid.257016.70000 0001 0673 6172Department of Neuropsychiatry, Graduate School of Medicine, Hirosaki University, Hirosaki, Aomori, Japan ,grid.257016.70000 0001 0673 6172Research Center for Child Mental Development, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan ,grid.257016.70000 0001 0673 6172Department of Clinical Psychological Science, Comprehensive Rehabilitation Science, Graduate School of Health Sciences, Hirosaki University, Hirosaki, Aomori, Japan
| | - Ida Schwartz
- grid.8532.c0000 0001 2200 7498Genetics Department/UFRGS, Medical Genetics Service/HCPA, Porto Alegre, Brazil
| | - Anish K. Simhal
- grid.428122.f0000 0004 7592 9033Autism Center, Child Mind Institute, 101 E 56Th Street, Third Floor, New York, NY USA ,grid.51462.340000 0001 2171 9952Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Martina Siracusano
- grid.6530.00000 0001 2300 0941Child Neurology and Psychiatry Unit, Systems Medicine Department, University of Rome Tor Vergata, Rome, Italy
| | - Stefano Sotgiu
- Department of Medical, Surgical and Pharmacy, Unit of Child Neuropsychiatry, University Hospital of Sassari, Sassari, Italy
| | - Jacob Stroud
- grid.428122.f0000 0004 7592 9033Autism Center, Child Mind Institute, 101 E 56Th Street, Third Floor, New York, NY USA
| | - Fernando Sumiya
- grid.11899.380000 0004 1937 0722Department of Psychiatry, Hospital das Clinicas HCFMUSP, Faculty of Medicine, University of São Paulo (USP), São Paulo, Brazil
| | - Yoshiyuki Tachibana
- grid.63906.3a0000 0004 0377 2305Division of Infant and Toddler Mental Health, Department of Psychosocial Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Nicole Takahashi
- grid.134936.a0000 0001 2162 3504Thompson Center of Neurodevelopmental Disorders, University of Missouri, Columbia, MO USA
| | | | - Hiroki Tamon
- grid.63906.3a0000 0004 0377 2305Division of Infant and Toddler Mental Health, Department of Psychosocial Medicine, National Center for Child Health and Development, Tokyo, Japan
| | | | - Benedetto Vitiello
- grid.7605.40000 0001 2336 6580Department of Public Health and Pediatric Sciences, Section of Child and Adolescent Neuropsychiatry, University of Turin, Turin, Italy
| | - Alessandro Zuddas
- grid.7763.50000 0004 1755 3242Department of Biomedical Sciences, Section of Neuroscience & Clinical Pharmacology, University of Cagliari, Cagliari, Italy ,Child & Adolescent Neuropsychiatry Unit, “A.Cao” Paediatric Hospital, Cagliari, Italy
| | - Bennett Leventhal
- grid.170205.10000 0004 1936 7822University of Chicago, Chicago, IL USA
| | - Kathleen Merikangas
- grid.416868.50000 0004 0464 0574Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, USA
| | - Michael P. Milham
- grid.428122.f0000 0004 7592 9033Center for the Developing Brain, Child Mind Institute, New York, NY USA ,grid.250263.00000 0001 2189 4777Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY USA
| | - Adriana Di Martino
- Autism Center, Child Mind Institute, 101 E 56Th Street, Third Floor, New York, NY, USA.
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11
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Tullo D, Faubert J, Bertone A. Distinctive patterns of Multiple Object-Tracking performance trajectories in youth with deficits in attention, learning, and intelligence. Res Dev Disabil 2023; 133:104402. [PMID: 36565518 DOI: 10.1016/j.ridd.2022.104402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 11/23/2022] [Accepted: 12/16/2022] [Indexed: 06/17/2023]
Abstract
There is a significant overlap in symptomology between individuals with deficits in attention and learning, which is explained by the co-dependent dynamic between the two cognitive constructs. Within this dynamic, attentional resources are allocated to salient stimuli while learning mechanisms distinguish relevant from irrelevant information. Moreover, individuals with deficits in higher-order cognition (i.e., intelligence) can demonstrate difficulties in attention and learning. The Multiple Object-Tracking (MOT) task is a sensitive and versatile measure of attention that has characterized individual differences in attention as a function of higher-order cognition. Exploiting the traditional MOT task's ability to characterize the allocation of attentional resources to task demands, the current study compared learning exhibited on an attention-based task across neurodevelopmental conditions defined by deficits in attention (attention-deficit/hyperactivity disorder; ADHD), learning (specific learning disorder; SLD), and intelligence (intellectual developmental disorder; IDD). Children and adolescents (N = 101) completed 15 sessions on a Multiple Object-Tracking (MOT) task where performance trajectories were analyzed using latent growth curve modeling and conditioned by the presence of ADHD, SLD, or IDD while controlling for performance on a separate measure of attention, age, and sex. The sample, characterized by below-average IQ and problematic levels of attention, exhibited an effect of learning on MOT. However, individuals with an IDD diagnosis demonstrated decreased baseline MOT capability while ADHD and SLD profiles exhibited decreased slopes, relative to other neurodevelopmental conditions. Taken together, the results demonstrate distinct linear performance trajectories between neurodevelopmental conditions defined by deficits in attention, learning, and intelligence. The current study provides additional evidence to repurpose the traditional MOT task as a descriptor of attention and discusses alternative uses for the paradigm. Overall, these results suggest an eclectic approach that considers attention, learning, and higher-order cognition when diagnosing ADHD, SLD, or IDD.
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Affiliation(s)
- Domenico Tullo
- School of Education, University of California, Irvine, 3200 Education Bldg, Irvine, CA 92697, USA.
| | - Jocelyn Faubert
- École d'optométrie, University of Montreal, 3744, rue Jean-Brillant, Montréal, QC H3T 1P1, Canada
| | - Armando Bertone
- Department of Education & Counselling Psychology, McGill University, 3700 McTavish Street, Montréal, H3A 1Y2 QC, Canada
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12
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Gonzalez M, Zeidan J, Lai J, Yusuf A, Wright N, Steiman M, Karpur A, Shih A, Elsabbagh M, Shikako K. Socio-demographic disparities in receipt of clinical health care services during the COVID-19 pandemic for Canadian children with disability. BMC Health Serv Res 2022; 22:1434. [PMID: 36443767 PMCID: PMC9706900 DOI: 10.1186/s12913-022-08672-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 10/04/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Little is known about the experience of receiving in-person and virtual clinical health care services during the COVID-19 pandemic for Canadian children with developmental disabilities and delays facing multiple layers of vulnerability (e.g., low income, low educational attainment families). We examined the relationship between socio-demographic factors and the receipt of these services (physical and mental health services) during COVID-19 for Canadian children with these conditions. METHODS Data collected in Canada for the Global Report on Developmental Delays, Disorders and Disabilities were used. The survey: (1) was developed and disseminated in collaboration with caregivers of children with disabilities, (2) included topics such as response to the pandemic and receipt of services and supports, and (3) documented the experiences of a non-random convenience sample of caregivers of children (any age) with these conditions during and prior to the pandemic. We used four logistic regression models to assess the association between socio-demographic factors and receipt of services. RESULTS Being a single parent, having low educational attainment (high school or less), having low income (making less than $40,000 per year), working less than full time (working part-time, working reduced hours due to COVID, retired, stay home parent or student), as well as male gender and older age of the child with disability were factors associated with decreased likelihood of receiving services. CONCLUSION Our findings point to the need for tailoring services for families of children with disabilities, particularly low socioeconomic status families, to ensure continuity of care during public health emergencies.
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Affiliation(s)
- Miriam Gonzalez
- Faculty of Medicine, Montreal Neurological Institute-Hospital, McGill University, Rue University, 3775, H3A 2B4, Montréal, Canada. .,Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, H4A 3J1, Montréal, Canada.
| | - Jinan Zeidan
- Faculty of Medicine, Montreal Neurological Institute-Hospital, McGill University, Rue University, 3775, H3A 2B4, Montréal, Canada
| | - Jonathan Lai
- Autism Alliance of Canada, 1111-23 Sheppard Ave E, M2N OC8, Toronto, ON, Canada
| | - Afiqah Yusuf
- Faculty of Medicine, Montreal Neurological Institute-Hospital, McGill University, Rue University, 3775, H3A 2B4, Montréal, Canada.,Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, H4A 3J1, Montréal, Canada
| | - Nicola Wright
- Department of Biostatistics and Health Informatics, King's College London, WC2R 2LS, London, UK
| | - Mandy Steiman
- Faculty of Medicine, Montreal Neurological Institute-Hospital, McGill University, Rue University, 3775, H3A 2B4, Montréal, Canada.,Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, H4A 3J1, Montréal, Canada
| | - Arun Karpur
- Autism Speaks, 1060 State Rd #1446, 08540, Princeton, Princeton, NJ, NJ, USA
| | - Andy Shih
- Autism Speaks, New York 1 E 33rd St, 10016, New York, NY, USA
| | - Mayada Elsabbagh
- Faculty of Medicine, Montreal Neurological Institute-Hospital, McGill University, Rue University, 3775, H3A 2B4, Montréal, Canada.,Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, H4A 3J1, Montréal, Canada
| | - Keiko Shikako
- Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, H4A 3J1, Montréal, Canada.,School of Physical and Occupational Therapy, Faculty of Medicine, McGill University, Montréal, Canada
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13
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McPhate L, Williams K, Vance A, Winther J, Pang K, May T. Gender Variance in Children and Adolescents with Neurodevelopmental and Psychiatric Conditions from Australia. Arch Sex Behav 2021; 50:863-871. [PMID: 33788061 DOI: 10.1007/s10508-021-01918-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Revised: 12/22/2020] [Accepted: 01/13/2021] [Indexed: 05/20/2023]
Abstract
Gender variance is a broad term used to describe gender non-conforming behaviors. Past studies have used the parental response to Child Behavior Checklist (CBCL) Item 110, which asks whether a child "Wishes to be of opposite sex" as an indicator of gender variance. The population prevalence of gender variance in children and adolescents using this metric was found to be 1.2% in birth-assigned females and 0.4% in birth-assigned males (Achenbach & Rescorla, 2001). However, in those referred for psychiatric evaluation, it was higher (5.4% of birth-assigned females and 2.8% of birth-assigned males) (Achenbach & Rescorla, 2001). The aim of this study was to use the CBCL to estimate the prevalence of gender variance among children and adolescents with neurodevelopmental and psychiatric conditions and assess whether this was higher compared to controls. The response to the CBCL and the child's neurodevelopmental and/or psychiatric diagnosis were extracted from the clinical notes of 1553 children and adolescents referred to an outpatient psychiatry clinic in Australia. This was compared to data from 181 control participants as well as to the CBCL standardization sample of 1605 controls. Of the 1553 young people, whose mean age was 10.9 years, gender variance was reported in 3.1% compared to 1.7% in local control participants (p > .05) and 0.7% in the CBCL controls (p < .0001). Rates varied depending upon the underlying diagnosis (ASD 5.2%; ADHD 2.5%, intellectual disability 4.7%; depression 2.6%; and anxiety 4.7%). In this way, our findings support past observations that young people with neurodevelopmental and psychiatric conditions have high rates of gender variance.
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Affiliation(s)
- Lucy McPhate
- Department of Pediatrics, University of Melbourne, Parkville, VIC, Australia
| | - Katrina Williams
- Department of Pediatrics, University of Melbourne, Parkville, VIC, Australia
- Murdoch Children's Research Institute, Flemington Road, Parkville, VIC, 3052, Australia
- Department of Paediatrics, Monash University, Clayton, VIC, Australia
| | - Alasdair Vance
- Academic Child Psychiatry Unit and Developmental Neuropsychiatry Program, Royal Children's Hospital, Melbourne, VIC, Australia
| | - Jo Winther
- Academic Child Psychiatry Unit and Developmental Neuropsychiatry Program, Royal Children's Hospital, Melbourne, VIC, Australia
| | - Kenneth Pang
- Department of Pediatrics, University of Melbourne, Parkville, VIC, Australia.
- Murdoch Children's Research Institute, Flemington Road, Parkville, VIC, 3052, Australia.
- Inflammation Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
| | - Tamara May
- Department of Paediatrics, Monash University, Clayton, VIC, Australia
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14
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Ijichi S, Kawaike Y, Ijichi N, Ijichi Y, Hirakata M, Yamaguchi Y, Kamachi A, Imamura C, Fushuku S, Nagata J, Tanuma R, Sameshima H, Morioka H. Hypothetical novel simulations to explain the evolutionary survival of the hypo-reproductive extreme tail in the complex human diversity. Biosystems 2021; 204:104393. [PMID: 33640397 DOI: 10.1016/j.biosystems.2021.104393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 02/20/2021] [Indexed: 10/22/2022]
Abstract
Hierarchical structures which lie hidden between human complex conditions and reproductivity cannot be simple, and trends of each population component does not necessarily pertain to evolutionary theories. As an illustration, the fitness of individuals with heritable extreme conditions can be low across continuing generations in observational data. Autism and schizophrenia are characterized by such evolutionary paradox of survival and hypo-reproductivity in the complex human diversity. Theoretical mechanisms for the observational fact were evaluated using a simple formula which was established to simulate stochastic epistasis-mediated phenotypic diversity. The survival of the hypo-reproductive extreme tail could be imitated just by the predominant presence of stochastic epistasis mechanism, suggesting that stochastic epistasis might be a genetic prerequisite for the evolutionary paradox. As supplemental cofactors of stochastic epistasis, a random link of the extreme tail to both un- and hyper-reproductivity and group assortative mating were shown to be effective for the paradox. Especially, the mixed localization of un- and hyper-reproductivity in the tail of a generational population evidently induced the continuous survival of outliers and extremes. These hypothetical considerations and mathematical simulations may suggest the significance of stochastic epistasis as the essential genetic background of complex human diversity.
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Affiliation(s)
- Shinji Ijichi
- Health Service Center, Kagoshima University, Kagoshima, Japan; Institute for Externalization of Gifts and Talents, Kagoshima, Japan.
| | - Yoichi Kawaike
- Health Service Center, Kagoshima University, Kagoshima, Japan
| | - Naomi Ijichi
- Institute for Externalization of Gifts and Talents, Kagoshima, Japan
| | - Yukina Ijichi
- Institute for Externalization of Gifts and Talents, Kagoshima, Japan
| | - Mai Hirakata
- Health Service Center, Kagoshima University, Kagoshima, Japan
| | - Yuka Yamaguchi
- Health Service Center, Kagoshima University, Kagoshima, Japan
| | - Akiyo Kamachi
- Health Service Center, Kagoshima University, Kagoshima, Japan
| | - Chikako Imamura
- Support Center for Students with Disabilities, Kagoshima University, Kagoshima, Japan
| | - Sayuri Fushuku
- Health Service Center, Kagoshima University, Kagoshima, Japan
| | - Junko Nagata
- Health Service Center, Kagoshima University, Kagoshima, Japan
| | - Rie Tanuma
- Health Service Center, Kagoshima University, Kagoshima, Japan
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Ijichi S, Ijichi N, Ijichi Y, Imamura C, Sameshima H, Kawaike Y, Morioka H. The origin of complex human diversity: Stochastic epistatic modules and the intrinsic compatibility between distributional robustness and phenotypic changeability. J Integr Neurosci 2018; 17:1-9. [PMID: 29376879 DOI: 10.31083/jin-170034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The continuing prevalence of a highly heritable and hypo-reproductive extreme tail of a human neurobehavioral quantitative diversity suggests the reproductive majority retains the genetic mechanisms for extremes. From the perspective of stochastic epistasis, the effect of an epistatic modifier variant can randomly vary in both phenotypic value and effect direction among carriers depending on the genetic identity and the modifier carriers are ubiquitous in the population. The neutrality of the mean genetic effect in carriers ensures the survival of the variant under selection pressures. Functionally or metabolically related modifier variants make an epistatic network module and dozens of modules may be involved in the phenotype. To assess the significance of stochastic epistasis, a simplified module-based model was simulated. The individual repertoire of the modifier variants in a module also contributes in genetic identity, which determines the genetic contribution of each carrier modifier. Because the entire contribution of a module to phenotypic outcome is unpredictable in the model, the module effect represents the total contribution of related modifiers as a stochastic unit in simulations. As a result, the intrinsic compatibility between distributional robustness and quantitative changeability could mathematically be simulated using the model. The artificial normal distribution shape in large-sized simulations was preserved in each generation even if the lowest fitness tail was non-reproductive. The robustness of normality across generations is analogous to the real situation of complex human diversity, including neurodevelopmental conditions. The repeated regeneration of a non-reproductive extreme tail may be essential for survival and change of the reproductive majority, implying extremes for others. Further simulation to illustrate how the fitness of extreme individuals can be low across generations may be necessary to increase the plausibility of this stochastic epistasis model.
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Affiliation(s)
- Shinji Ijichi
- Health Service Center, Kagoshima University, 1-21-24 Korimoto, Kagoshima 890-8580, Japan.,Institute for Externalization of Gifts and Talents, 7421-1 Shimofukumoto, Kagoshima 891-0144, Japan
| | - Naomi Ijichi
- Institute for Externalization of Gifts and Talents, 7421-1 Shimofukumoto, Kagoshima 891-0144, Japan
| | - Yukina Ijichi
- Institute for Externalization of Gifts and Talents, 7421-1 Shimofukumoto, Kagoshima 891-0144, Japan
| | - Chikako Imamura
- Support Center for Students with Disabilities, Kagoshima University, 1-21-30 Korimoto, Kagoshima 890-0065, Japan
| | - Hisami Sameshima
- Health Service Center, Kagoshima University, 1-21-24 Korimoto, Kagoshima 890-8580, Japan
| | - Yoichi Kawaike
- Health Service Center, Kagoshima University, 1-21-24 Korimoto, Kagoshima 890-8580, Japan
| | - Hirofumi Morioka
- Health Service Center, Kagoshima University, 1-21-24 Korimoto, Kagoshima 890-8580, Japan
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