Marianne Oldehinkel1, Maarten Mennes2, Andre Marquand3, Tony Charman4, Julian Tillmann4, Christine Ecker5, Flavio Dell'Acqua6, Daniel Brandeis7, Tobias Banaschewski8, Sarah Baumeister8, Carolin Moessnang9, Simon Baron-Cohen10, Rosemary Holt10, Sven Bölte11, Sarah Durston12, Prantik Kundu13, Michael V Lombardo14, Will Spooren15, Eva Loth6, Declan G M Murphy6, Christian F Beckmann16, Jan K Buitelaar17. 1. Brain and Mental Health Laboratory, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Victoria, Australia; Department of Cognitive Neuroscience, Radboud University Medical Center, the Netherlands; Donders Institute for Brain, Cognition, and Behavior, Radboud University, the Netherlands. Electronic address: marianne.oldehinkel@monash.edu. 2. Donders Institute for Brain, Cognition, and Behavior, Radboud University, the Netherlands. 3. Department of Cognitive Neuroscience, Radboud University Medical Center, the Netherlands; Donders Institute for Brain, Cognition, and Behavior, Radboud University, the Netherlands; Department of Neuroimaging, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom. 4. Department of Psychology, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom. 5. Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom; Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt am Main, Goethe University, Frankfurt, Germany. 6. Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom; Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom. 7. Child and Adolescent Psychiatry, Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany; Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, Zurich, Switzerland; Center for Integrative Human Physiology Zurich, University of Zurich, Zurich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland. 8. Child and Adolescent Psychiatry, Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany. 9. Center for Applied Neuroscience, Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany. 10. Autism Research Centre, Department of Psychiatry, University of Cambridge, United Kingdom. 11. Center of Neurodevelopmental Disorders, Division of Neuropsychiatry, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden; Child and Adolescent Psychiatry, Center for Psychiatry Research, Stockholm County Council, Stockholm, Sweden. 12. Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands. 13. Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York. 14. Autism Research Centre, Department of Psychiatry, University of Cambridge, United Kingdom; Department of Psychology, Center for Applied Neuroscience, University of Cyprus, Nicosia, Cyprus. 15. Roche Pharmaceutical Research and Early Development, NORD Discovery and Translational Area, Roche Innovation Center Basel, Basel, Switzerland. 16. Department of Cognitive Neuroscience, Radboud University Medical Center, the Netherlands; Donders Institute for Brain, Cognition, and Behavior, Radboud University, the Netherlands; Centre for Functional MRI of the Brain, University of Oxford, Oxford, United Kingdom. 17. Department of Cognitive Neuroscience, Radboud University Medical Center, the Netherlands; Donders Institute for Brain, Cognition, and Behavior, Radboud University, the Netherlands; Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands.
Abstract
BACKGROUND: Resting-state functional magnetic resonance imaging-based studies on functional connectivity in autism spectrum disorder (ASD) have generated inconsistent results. Interpretation of findings is further hampered by small samples and a focus on a limited number of networks, with networks underlying sensory processing being largely underexamined. We aimed to comprehensively characterize ASD-related alterations within and between 20 well-characterized resting-state networks using baseline data from the EU-AIMS (European Autism Interventions-A Multicentre Study for Developing New Medications) Longitudinal European Autism Project. METHODS: Resting-state functional magnetic resonance imaging data was available for 265 individuals with ASD (7.5-30.3 years; 73.2% male) and 218 typically developing individuals (6.9-29.8 years; 64.2% male), all with IQ > 70. We compared functional connectivity within 20 networks-obtained using independent component analysis-between the ASD and typically developing groups, and related functional connectivity within these networks to continuous (overall) autism trait severity scores derived from the Social Responsiveness Scale Second Edition across all participants. Furthermore, we investigated case-control differences and autism trait-related alterations in between-network connectivity. RESULTS: Higher autism traits were associated with increased connectivity within salience, medial motor, and orbitofrontal networks. However, we did not replicate previously reported case-control differences within these networks. The between-network analysis did reveal case-control differences showing on average 1) decreased connectivity of the visual association network with somatosensory, medial, and lateral motor networks, and 2) increased connectivity of the cerebellum with these sensory and motor networks in ASD compared with typically developing subjects. CONCLUSIONS: We demonstrate ASD-related alterations in within- and between-network connectivity. The between-network alterations broadly affect connectivity between cerebellum, visual, and sensory-motor networks, potentially underlying impairments in multisensory and visual-motor integration frequently observed in ASD.
BACKGROUND: Resting-state functional magnetic resonance imaging-based studies on functional connectivity in autism spectrum disorder (ASD) have generated inconsistent results. Interpretation of findings is further hampered by small samples and a focus on a limited number of networks, with networks underlying sensory processing being largely underexamined. We aimed to comprehensively characterize ASD-related alterations within and between 20 well-characterized resting-state networks using baseline data from the EU-AIMS (European Autism Interventions-A Multicentre Study for Developing New Medications) Longitudinal European Autism Project. METHODS: Resting-state functional magnetic resonance imaging data was available for 265 individuals with ASD (7.5-30.3 years; 73.2% male) and 218 typically developing individuals (6.9-29.8 years; 64.2% male), all with IQ > 70. We compared functional connectivity within 20 networks-obtained using independent component analysis-between the ASD and typically developing groups, and related functional connectivity within these networks to continuous (overall) autism trait severity scores derived from the Social Responsiveness Scale Second Edition across all participants. Furthermore, we investigated case-control differences and autism trait-related alterations in between-network connectivity. RESULTS: Higher autism traits were associated with increased connectivity within salience, medial motor, and orbitofrontal networks. However, we did not replicate previously reported case-control differences within these networks. The between-network analysis did reveal case-control differences showing on average 1) decreased connectivity of the visual association network with somatosensory, medial, and lateral motor networks, and 2) increased connectivity of the cerebellum with these sensory and motor networks in ASD compared with typically developing subjects. CONCLUSIONS: We demonstrate ASD-related alterations in within- and between-network connectivity. The between-network alterations broadly affect connectivity between cerebellum, visual, and sensory-motor networks, potentially underlying impairments in multisensory and visual-motor integration frequently observed in ASD.
Authors: Emma D Burdekin; Brent L Fogel; Shafali S Jeste; Julian Martinez; Jessica E Rexach; Charlotte DiStefano; Carly Hyde; Tabitha Safari; Rujuta B Wilson Journal: J Child Neurol Date: 2020-07-24 Impact factor: 1.987
Authors: Ryan R Green; Erin D Bigler; Alyson Froehlich; Molly B D Prigge; Brandon A Zielinski; Brittany G Travers; Jeffrey S Anderson; Andrew Alexander; Nicholas Lange; Janet E Lainhart Journal: J Pediatr Neuropsychol Date: 2019-08-16
Authors: Natasha Bertelsen; Isotta Landi; Richard A I Bethlehem; Jakob Seidlitz; Elena Maria Busuoli; Veronica Mandelli; Eleonora Satta; Stavros Trakoshis; Bonnie Auyeung; Prantik Kundu; Eva Loth; Guillaume Dumas; Sarah Baumeister; Christian F Beckmann; Sven Bölte; Thomas Bourgeron; Tony Charman; Sarah Durston; Christine Ecker; Rosemary J Holt; Mark H Johnson; Emily J H Jones; Luke Mason; Andreas Meyer-Lindenberg; Carolin Moessnang; Marianne Oldehinkel; Antonio M Persico; Julian Tillmann; Steve C R Williams; Will Spooren; Declan G M Murphy; Jan K Buitelaar; Simon Baron-Cohen; Meng-Chuan Lai; Michael V Lombardo Journal: Commun Biol Date: 2021-05-14