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Radev S, Freeth M, Thompson AR. 'I'm not just being difficult . . . I'm finding it difficult': A qualitative approach to understanding experiences of autistic parents when interacting with statutory services regarding their autistic child. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2024; 28:1394-1404. [PMID: 37997851 PMCID: PMC11134976 DOI: 10.1177/13623613231212794] [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] [Indexed: 11/25/2023]
Abstract
LAY ABSTRACT Becoming a parent is an important part of adult life for many people, including autistic people. Many parents of autistic children can find getting the right support for their children difficult. Knowledge is currently poor about how this is experienced by parents who are also autistic themselves. The main researcher is also an autistic parent to an autistic child and other experts by experience were consulted in the development of the study. Ten autistic mothers with autistic children in mainstream education were interviewed about their experiences of seeking support for their autistic children from services such as healthcare and education. Participants talked about finding the overall system being the main problem, rather than the individuals working in it, and about needing to fight to get the right support for their children. These are points that non-autistic parents have also raised before. Participants also talked about feeling judged and stigmatised for being autistic, and about struggling to manage sensory and communication difficulties, which is something that has not been talked about by non-autistic parents. Improving services to offer better support to autistic families is important and can be achieved through better training. This training should be developed and run by autistic adults and focus on positive aspects of autism, rather than negative.
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Weissenkampen JD, Ghorai A, Fasolino M, Gehringer B, Rajan M, Dow HC, Sebro R, Rader DJ, Keenan BT, Almasy L, Brodkin ES, Bucan M. Sleep and Activity Patterns in Autism Spectrum Disorder. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.02.592263. [PMID: 38766266 PMCID: PMC11100584 DOI: 10.1101/2024.05.02.592263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Background Autism spectrum disorder (ASD) is a highly heritable and heterogeneous neurodevelopmental disorder characterized by impaired social interactions, repetitive behaviors, and a wide range of comorbidities. Between 44-83% of autistic individuals report sleep disturbances, which may share an underlying neurodevelopmental basis with ASD. Methods We recruited 382 ASD individuals and 223 of their family members to obtain quantitative ASD-related traits and wearable device-based accelerometer data spanning three consecutive weeks. An unbiased approach identifying traits associated with ASD was achieved by applying the elastic net machine learning algorithm with five-fold cross-validation on 6,878 days of data. The relationship between sleep and physical activity traits was examined through linear mixed-effects regressions using each night of data. Results This analysis yielded 59 out of 242 actimetry measures associated with ASD status in the training set, which were validated in a test set (AUC: 0.777). For several of these traits (e.g. total light physical activity), the day-to-day variability, in addition to the mean, was associated with ASD. Individuals with ASD were found to have a stronger correlation between physical activity and sleep, where less physical activity decreased their sleep more significantly than that of their non-ASD relatives. Conclusions The average duration of sleep/physical activity and the variation in the average duration of sleep/physical activity strongly predict ASD status. Physical activity measures were correlated with sleep quality, traits, and regularity, with ASD individuals having stronger correlations. Interventional studies are warranted to investigate whether improvements in both sleep and increased physical activity may improve the core symptoms of ASD.
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Martini MI, Butwicka A, Du Rietz E, Kanina A, Rosenqvist MA, Larsson H, Lichtenstein P, Taylor MJ. Age effects on autism heritability and etiological stability of autistic traits. J Child Psychol Psychiatry 2024. [PMID: 38239074 DOI: 10.1111/jcpp.13949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/19/2023] [Indexed: 02/20/2024]
Abstract
BACKGROUND Autism and autistic traits onset in childhood but persist into adulthood. Little is known about how genetic and environmental factors influence autism and autistic traits into adulthood. We aimed to determine age effects on the heritability of clinically diagnosed autism and the etiological stability of autistic traits from childhood to adulthood using twin methods. METHODS From 23,849 twin pairs in the Swedish Twin Register born between 1959 and 2010, we identified 485 individuals (1.01%, 31.5% female) with a clinical autism diagnosis. We estimated and compared the relative contribution of genetic, shared, and nonshared environmental influences to autism in childhood and adulthood. We further used multivariate twin analysis with four measurement points among 1,348 twin pairs in the longitudinal Twin Study of Child and Adolescent Development to assess the phenotypic and etiological stability of autistic traits - measured with three scales from the Child Behavior Checklist - from childhood to adulthood. RESULTS Autism heritability was comparable from childhood, (96% [95% CI, 76-99%]) to adulthood (87% [67-96%]). Autistic traits were moderately stable (phenotypic correlation = 0.35-0.61) from childhood to adulthood, and their heritability varied between 52 and 71%. We observed stable as well as newly emerging genetic influences on autistic traits from ages 8-9 to 19-20, and unique nonshared environmental influences at each age. CONCLUSIONS Genetic factors are important for autism and autistic traits in adulthood and separate genetic studies in adults are warranted.
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Affiliation(s)
- Miriam I Martini
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Agnieszka Butwicka
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Division of Mental Health Services, R&D Department, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland
| | - Ebba Du Rietz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Aleksandra Kanina
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mina A Rosenqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mark J Taylor
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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Veddum L, Greve AN, Gregersen M, Andreassen AK, Knudsen CB, Brandt JM, Krantz MF, Søndergaard A, Burton BK, Jepsen JRM, Hemager N, Werge T, Thorup AAE, Nordentoft M, Mors O, Nudel R. A study of the genetic architecture of social responsiveness in families with parental schizophrenia or bipolar disorder and population-based controls. Psychiatry Res 2023; 326:115280. [PMID: 37339530 DOI: 10.1016/j.psychres.2023.115280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 05/10/2023] [Accepted: 05/30/2023] [Indexed: 06/22/2023]
Abstract
Twin-studies of social responsiveness have reported moderate to high heritabilities, but studies using parent-child data are lacking. Additionally, social impairments have been suggested as a vulnerability marker for schizophrenia and bipolar disorder, but the heritability of social responsiveness in this context is unknown. This study is part of the Danish High Risk and Resilience Study - VIA, comprising families with one parent with schizophrenia (n = 202) or bipolar disorder (n = 120) and population-based controls (PBC, n = 200). Social responsiveness was assessed with The Social Responsiveness Scale, Second Edition (SRS-2). Heritability was estimated from variance components, and a polygenic risk score (PRS) for autism spectrum disorder (ASD) was calculated to assess the genetic relationship between ASD and SRS-2. SRS-2 heritability was moderate to high and significantly different from zero in all groups when the children were rated by the primary caregiver. With teacher ratings, the heritability was lower and only significant in the full cohort and PBC. We found no significant association between SRS-2 and PRS for ASD. Our study confirms that social responsiveness is heritable, but that heritability estimates are affected by the child-respondent relation and familial risk of mental illness. This has implications for clinical practice and research using SRS-2 and provides insight on the familial transmission of mental illness.
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Affiliation(s)
- Lotte Veddum
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Denmark; The Psychosis Research Unit, Aarhus University Hospital Skejby, Psychiatry, Denmark; iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark.
| | - Aja Neergaard Greve
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Denmark; The Psychosis Research Unit, Aarhus University Hospital Skejby, Psychiatry, Denmark; iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark
| | - Maja Gregersen
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark; CORE - Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Copenhagen, Denmark
| | - Anna Krogh Andreassen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Denmark; The Psychosis Research Unit, Aarhus University Hospital Skejby, Psychiatry, Denmark; iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark
| | - Christina Bruun Knudsen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Denmark; The Psychosis Research Unit, Aarhus University Hospital Skejby, Psychiatry, Denmark; iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark
| | - Julie Marie Brandt
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark; CORE - Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Copenhagen, Denmark; University of Copenhagen - Faculty of Health and Medical Sciences, Institute of Clinical Medicine, Denmark
| | - Mette Falkenberg Krantz
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark; CORE - Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Copenhagen, Denmark; Child and Adolescent Mental Health Center, Research Unit, Capital Region of Copenhagen, Denmark
| | - Anne Søndergaard
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark; CORE - Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Copenhagen, Denmark; University of Copenhagen - Faculty of Health and Medical Sciences, Institute of Clinical Medicine, Denmark
| | - Birgitte Klee Burton
- Child and Adolescent Mental Health Center, Research Unit, Capital Region of Copenhagen, Denmark; University of Copenhagen - Faculty of Health and Medical Sciences, Institute of Clinical Medicine, Denmark; Department of Child and Adolescent Psychiatry, Copenhagen University Hospital, Psychiatry Region Zealand, Denmark
| | - Jens Richardt Møllegaard Jepsen
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark; CORE - Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Copenhagen, Denmark; Child and Adolescent Mental Health Center, Research Unit, Capital Region of Copenhagen, Denmark; Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, Copenhagen University Hospital, Mental Health Services Copenhagen, Denmark
| | - Nicoline Hemager
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark; CORE - Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Copenhagen, Denmark; Child and Adolescent Mental Health Center, Research Unit, Capital Region of Copenhagen, Denmark
| | - Thomas Werge
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark; Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Mental Health Services Copenhagen, Denmark
| | - Anne Amalie Elgaard Thorup
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark; Child and Adolescent Mental Health Center, Research Unit, Capital Region of Copenhagen, Denmark; University of Copenhagen - Faculty of Health and Medical Sciences, Institute of Clinical Medicine, Denmark
| | - Merete Nordentoft
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark; CORE - Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Copenhagen, Denmark; University of Copenhagen - Faculty of Health and Medical Sciences, Institute of Clinical Medicine, Denmark
| | - Ole Mors
- The Psychosis Research Unit, Aarhus University Hospital Skejby, Psychiatry, Denmark; iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark
| | - Ron Nudel
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark; CORE - Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Copenhagen, Denmark.
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Lyall K. What are quantitative traits and how can they be used in autism research? Autism Res 2023; 16:1289-1298. [PMID: 37212172 PMCID: PMC10524676 DOI: 10.1002/aur.2937] [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] [Received: 10/19/2022] [Accepted: 04/28/2023] [Indexed: 05/23/2023]
Abstract
Quantitative traits are measurable characteristics distributed along a continuous scale thought to relate to underlying biology. There is growing interest in the use of quantitative traits in behavioral and psychiatric research, particularly in research on conditions diagnosed based on reports of behaviors, including autism. This brief commentary describes quantitative traits, including defining what they are, how we can measure them, and key considerations for their use in autism research. Examples of measures include behavioral report scales like the Social Responsiveness Scale and Broader Autism Phenotype Questionnaire, as well as biological measurements, like certain neuroimaging metrics; such measures can capture quantitative traits or constructs like the broader autism phenotype, social communication, and social cognition. Quantitative trait measures align with the Research Domain Criteria (RDoC) approach and can be used in autism research to help gain a better understanding of causal pathways and biological processes. They can also be used to aid identification of genetic and environmental factors involved in such pathways, and thereby lead to an understanding of influences on traits across the entire population. Finally, in some cases, they may be used to gauge treatment response, and assist screening and clinical characterization of phenotype. In addition, practical benefits of quantitative trait measures include improved statistical power relative to categorical classifications and (for some measures) efficiency. Ultimately, research across autism fields may benefit from incorporating quantitative trait measures as a complement to categorical diagnosis to advance understanding of autism and neurodevelopment.
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Affiliation(s)
- Kristen Lyall
- AJ Drexel Autism Institute, Drexel University, 3020 Market St, Suite 560, Philadelphia PA 19104
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Xu B, Ho Y, Fasolino M, Medina J, O’Brien WT, Lamonica JM, Nugent E, Brodkin ES, Fuccillo MV, Bucan M, Zhou Z. Allelic contribution of Nrxn1α to autism-relevant behavioral phenotypes in mice. PLoS Genet 2023; 19:e1010659. [PMID: 36848371 PMCID: PMC9997995 DOI: 10.1371/journal.pgen.1010659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 03/09/2023] [Accepted: 02/08/2023] [Indexed: 03/01/2023] Open
Abstract
Copy number variations (CNVs) in the Neurexin 1 (NRXN1) gene, which encodes a presynaptic protein involved in neurotransmitter release, are some of the most frequently observed single-gene variants associated with autism spectrum disorder (ASD). To address the functional contribution of NRXN1 CNVs to behavioral phenotypes relevant to ASD, we carried out systematic behavioral phenotyping of an allelic series of Nrxn1 mouse models: one carrying promoter and exon 1 deletion abolishing Nrxn1α transcription, one carrying exon 9 deletion disrupting Nrxn1α protein translation, and one carrying an intronic deletion with no observable effect on Nrxn1α expression. We found that homozygous loss of Nrxn1α resulted in enhanced aggression in males, reduced affiliative social behaviors in females, and significantly altered circadian activities in both sexes. Heterozygous or homozygous loss of Nrxn1α affected the preference for social novelty in male mice, and notably, enhanced repetitive motor skills and motor coordination in both sexes. In contrast, mice bearing an intronic deletion of Nrxn1 did not display alterations in any of the behaviors assessed. These findings demonstrate the importance of Nrxn1α gene dosage in regulating social, circadian, and motor functions, and the variables of sex and genomic positioning of CNVs in the expression of autism-related phenotypes. Importantly, mice with heterozygous loss of Nrxn1, as found in numerous autistic individuals, show an elevated propensity to manifest autism-related phenotypes, supporting the use of models with this genomic architecture to study ASD etiology and assess additional genetic variants associated with autism.
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Affiliation(s)
- Bing Xu
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Autism Spectrum Program of Excellence (ASPE), University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Department of Urology, The First Affiliated Hospital of Shandong First Medical University & Shandong Province Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Organ Transplantation and Nephrosis, Shandong Institute of Nephrology, Jinan, Shandong, China
| | - Yugong Ho
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Autism Spectrum Program of Excellence (ASPE), University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Maria Fasolino
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Autism Spectrum Program of Excellence (ASPE), University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Joanna Medina
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Autism Spectrum Program of Excellence (ASPE), University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - William Timothy O’Brien
- Preclinical Models Core, Intellectual and Developmental Disability Research Center (IDDRC) Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Janine M. Lamonica
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Autism Spectrum Program of Excellence (ASPE), University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Erin Nugent
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Autism Spectrum Program of Excellence (ASPE), University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Edward S. Brodkin
- Autism Spectrum Program of Excellence (ASPE), University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Marc V. Fuccillo
- Autism Spectrum Program of Excellence (ASPE), University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Department of Neuroscience, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Maja Bucan
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Autism Spectrum Program of Excellence (ASPE), University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Zhaolan Zhou
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Autism Spectrum Program of Excellence (ASPE), University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Preclinical Models Core, Intellectual and Developmental Disability Research Center (IDDRC) Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Department of Neuroscience, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
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Xu L, Zheng X, Yao S, Li J, Fu M, Li K, Zhao W, Li H, Becker B, Kendrick KM. The mirror neuron system compensates for amygdala dysfunction - associated social deficits in individuals with higher autistic traits. Neuroimage 2022; 251:119010. [PMID: 35182751 DOI: 10.1016/j.neuroimage.2022.119010] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 02/13/2022] [Accepted: 02/15/2022] [Indexed: 12/25/2022] Open
Abstract
The amygdala is a core node in the social brain which exhibits structural and functional abnormalities in Autism spectrum disorder and there is evidence that the mirror neuron system (MNS) can functionally compensate for impaired emotion processing following amygdala lesions. In the current study, we employed an fMRI paradigm in 241 subjects investigating MNS and amygdala responses to observation, imagination and imitation of dynamic facial expressions and whether these differed in individuals with higher (n = 77) as opposed to lower (n = 79) autistic traits. Results indicated that individuals with higher compared to lower autistic traits showed worse recognition memory for fearful faces, smaller real-life social networks, and decreased left basolateral amygdala (BLA) responses to imitation. Additionally, functional connectivity between the left BLA and the left inferior frontal gyrus (IFG) as well as some other MNS regions was increased in individuals with higher autistic traits, especially during imitation of fearful expressions. The left BLA-IFG connectivity significantly moderated the autistic group differences on recognition memory for fearful faces, indicating that increased amygdala-MNS connectivity could diminish the social behavioral differences between higher and lower autistic trait groups. Overall, findings demonstrate decreased imitation-related amygdala activity in individuals with higher autistic traits in the context of increased amygdala-MNS connectivity which may functionally compensate for amygdala dysfunction and social deficits. Training targeting the MNS may capitalize on this compensatory mechanism for therapeutic benefits in Autism spectrum disorder.
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Affiliation(s)
- Lei Xu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China; Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China
| | - Xiaoxiao Zheng
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China; Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Shuxia Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Jialin Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Meina Fu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Keshuang Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China; School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Weihua Zhao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Hong Li
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China
| | - Benjamin Becker
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
| | - Keith M Kendrick
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
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