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Surgent O, Guerrero-Gonzalez J, Dean DC, Adluru N, Kirk GR, Kecskemeti SR, Alexander AL, Li JJ, Travers BG. Microstructural neural correlates of maximal grip strength in autistic children: the role of the cortico-cerebellar network and attention-deficit/hyperactivity disorder features. Front Integr Neurosci 2024; 18:1359099. [PMID: 38808069 PMCID: PMC11130426 DOI: 10.3389/fnint.2024.1359099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 04/24/2024] [Indexed: 05/30/2024] Open
Abstract
Introduction Maximal grip strength, a measure of how much force a person's hand can generate when squeezing an object, may be an effective method for understanding potential neurobiological differences during motor tasks. Grip strength in autistic individuals may be of particular interest due to its unique developmental trajectory. While autism-specific differences in grip-brain relationships have been found in adult populations, it is possible that such differences in grip-brain relationships may be present at earlier ages when grip strength is behaviorally similar in autistic and non-autistic groups. Further, such neural differences may lead to the later emergence of diagnostic-group grip differences in adolescence. The present study sought to examine this possibility, while also examining if grip strength could elucidate the neuro-motor sources of phenotypic heterogeneity commonly observed within autism. Methods Using high resolution, multi-shell diffusion, and quantitative R1 relaxometry imaging, this study examined how variations in key sensorimotor-related white matter pathways of the proprioception input, lateral grasping, cortico-cerebellar, and corticospinal networks were associated with individual variations in grip strength in 68 autistic children and 70 non-autistic (neurotypical) children (6-11 years-old). Results In both groups, results indicated that stronger grip strength was associated with higher proprioceptive input, lateral grasping, and corticospinal (but not cortico-cerebellar modification) fractional anisotropy and R1, indirect measures concordant with stronger microstructural coherence and increased myelination. Diagnostic group differences in these grip-brain relationships were not observed, but the autistic group exhibited more variability particularly in the cortico-cerebellar modification indices. An examination into the variability within the autistic group revealed that attention-deficit/hyperactivity disorder (ADHD) features moderated the relationships between grip strength and both fractional anisotropy and R1 relaxometry in the premotor-primary motor tract of the lateral grasping network and the cortico-cerebellar network tracts. Specifically, in autistic children with elevated ADHD features (60% of the autistic group) stronger grip strength was related to higher fractional anisotropy and R1 of the cerebellar modification network (stronger microstructural coherence and more myelin), whereas the opposite relationship was observed in autistic children with reduced ADHD features. Discussion Together, this work suggests that while the foundational elements of grip strength are similar across school-aged autistic and non-autistic children, neural mechanisms of grip strength within autistic children may additionally depend on the presence of ADHD features. Specifically, stronger, more coherent connections of the cerebellar modification network, which is thought to play a role in refining and optimizing motor commands, may lead to stronger grip in children with more ADHD features, weaker grip in children with fewer ADHD features, and no difference in grip in non-autistic children. While future research is needed to understand if these findings extend to other motor tasks beyond grip strength, these results have implications for understanding the biological basis of neuromotor control in autistic children and emphasize the importance of assessing co-occurring conditions when evaluating brain-behavior relationships in autism.
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Affiliation(s)
- Olivia Surgent
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, United States
| | - Jose Guerrero-Gonzalez
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States
| | - Douglas C. Dean
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States
- Department of Pediatrics, University of Wisconsin-Madison, Madison, WI, United States
| | - Nagesh Adluru
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
- Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States
| | - Gregory R. Kirk
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
| | | | - Andrew L. Alexander
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, United States
| | - James J. Li
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
- Psychology Department, University of Wisconsin-Madison, Madison, WI, United States
| | - Brittany G. Travers
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
- Occupational Therapy Program in the Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, United States
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Bamford RA, Zuko A, Eve M, Sprengers JJ, Post H, Taggenbrock RLRE, Fäβler D, Mehr A, Jones OJR, Kudzinskas A, Gandawijaya J, Müller UC, Kas MJH, Burbach JPH, Oguro-Ando A. CNTN4 modulates neural elongation through interplay with APP. Open Biol 2024; 14:240018. [PMID: 38745463 PMCID: PMC11293442 DOI: 10.1098/rsob.240018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 03/01/2024] [Accepted: 03/04/2024] [Indexed: 05/16/2024] Open
Abstract
The neuronal cell adhesion molecule contactin-4 (CNTN4) is genetically associated with autism spectrum disorder (ASD) and other psychiatric disorders. Cntn4-deficient mouse models have previously shown that CNTN4 plays important roles in axon guidance and synaptic plasticity in the hippocampus. However, the pathogenesis and functional role of CNTN4 in the cortex has not yet been investigated. Our study found a reduction in cortical thickness in the motor cortex of Cntn4 -/- mice, but cortical cell migration and differentiation were unaffected. Significant morphological changes were observed in neurons in the M1 region of the motor cortex, indicating that CNTN4 is also involved in the morphology and spine density of neurons in the motor cortex. Furthermore, mass spectrometry analysis identified an interaction partner for CNTN4, confirming an interaction between CNTN4 and amyloid-precursor protein (APP). Knockout human cells for CNTN4 and/or APP revealed a relationship between CNTN4 and APP. This study demonstrates that CNTN4 contributes to cortical development and that binding and interplay with APP controls neural elongation. This is an important finding for understanding the physiological function of APP, a key protein for Alzheimer's disease. The binding between CNTN4 and APP, which is involved in neurodevelopment, is essential for healthy nerve outgrowth.
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Affiliation(s)
- Rosemary A. Bamford
- University of Exeter Medical School, University of Exeter, ExeterEX2 5DW, UK
| | - Amila Zuko
- Department of Molecular Neurobiology, Donders Institute for Brain, Cognition and Behaviour and Faculty of Science, Radboud University, Nijmegen, The Netherlands
| | - Madeline Eve
- University of Exeter Medical School, University of Exeter, ExeterEX2 5DW, UK
| | - Jan J. Sprengers
- Department of Translational Neuroscience, UMC Utrecht Brain Center, UMC Utrecht, Utrecht3508 AB, The Netherlands
| | - Harm Post
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht, Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
- Netherlands Proteomics Centre, Utrecht, The Netherlands
| | - Renske L. R. E. Taggenbrock
- Department of Translational Neuroscience, UMC Utrecht Brain Center, UMC Utrecht, Utrecht3508 AB, The Netherlands
| | - Dominique Fäβler
- Institute for Pharmacy and Molecular Biotechnology (IPMB), Functional Genomics, University of Heidelberg, Heidelberg69120, Germany
| | - Annika Mehr
- Institute for Pharmacy and Molecular Biotechnology (IPMB), Functional Genomics, University of Heidelberg, Heidelberg69120, Germany
| | - Owen J. R. Jones
- University of Exeter Medical School, University of Exeter, ExeterEX2 5DW, UK
| | - Aurimas Kudzinskas
- University of Exeter Medical School, University of Exeter, ExeterEX2 5DW, UK
| | - Josan Gandawijaya
- University of Exeter Medical School, University of Exeter, ExeterEX2 5DW, UK
| | - Ulrike C. Müller
- Institute for Pharmacy and Molecular Biotechnology (IPMB), Functional Genomics, University of Heidelberg, Heidelberg69120, Germany
| | - Martien J. H. Kas
- Department of Translational Neuroscience, UMC Utrecht Brain Center, UMC Utrecht, Utrecht3508 AB, The Netherlands
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands
| | - J. Peter H. Burbach
- Department of Translational Neuroscience, UMC Utrecht Brain Center, UMC Utrecht, Utrecht3508 AB, The Netherlands
| | - Asami Oguro-Ando
- University of Exeter Medical School, University of Exeter, ExeterEX2 5DW, UK
- Department of Pharmacy, Faculty of Pharmaceutical Sciences, Tokyo University of Science, Noda, Chiba, Japan
- Research Institute for Science and Technology, Tokyo University of Science, Tokyo, Japan
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3
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Yang Y, Chen D, Cai K, Zhu L, Shi Y, Dong X, Sun Z, Qiao Z, Yang Y, Zhang W, Mao H, Chen A. Effects of mini-basketball training program on social communication impairments and regional homogeneity of brain functions in preschool children with autism spectrum disorder. BMC Sports Sci Med Rehabil 2024; 16:92. [PMID: 38659073 PMCID: PMC11040976 DOI: 10.1186/s13102-024-00885-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 04/18/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND Social communication impairments (SCI) is a core symptom of autism spectrum disorder (ASD) and is marked by challenges in social interaction. Although physical exercise has been shown to improve SCI, this finding has not been supported by comprehensive scientific evidence. Existing research has established a strong link between the SCI in children with ASD and abnormalities in regional homogeneity (ReHo). Therefore, investigating the effects of physical exercise on SCI and Reho in patients with ASD may help to elucidate the neurological mechanisms involved. METHODS The present study included 30 preschool children diagnosed with ASD, with 15 participants in each group (experimental and control). The experimental group underwent a 12-week mini-basketball training program (MBTP) based on routine behavioral rehabilitation, while the control group only received routine behavioral rehabilitation. The Social Responsiveness Scale-Second Edition (SRS-2) was employed to assess SCI in both groups. Resting-state functional magnetic resonance imaging technology was used to evaluate ReHo in both groups. RESULTS After 12-week of MBTP, significant group × time interactions were observed between the experimental and control groups in total SRS-2 scores (F = 14.514, p < 0.001, ηp2 = 0.341), as well as in the domains of social cognition (F = 15.620, p < 0.001, ηp2 = 0.358), social communication (F = 12.460, p < 0.01, ηp2 = 0.308), and autistic mannerisms (F = 9.970, p < 0.01, ηp2 = 0.263). No statistical difference was found in the scores for the social awareness subscale and social motivation subscale in the group × time interaction (all p > 0.05). The experimental group exhibited increased ReHo in the right Cerebellum_Crus1 and right parahippocampal gyrus, coupled with decreased ReHo in the left middle frontal gyrus (orbital part), left superior frontal gyrus (dorsolateral), left postcentral gyrus, and right superior parietal gyrus. Furthermore, a decrease in ReHo in the left postcentral gyrus positively correlated with changes in social communication scores in SCI behaviors (p < 0.05). CONCLUSIONS Our study underscores the effectiveness of a 12-week MBTP in ameliorating SCI and abnormalities in ReHo among preschool children with ASD. TRIAL REGISTRATION The trial is retrospectively registered on the Chinese Clinical Trial Registry (ChiCTR1900024973; August 5, 2019).
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Affiliation(s)
- Yang Yang
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Dandan Chen
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Kelong Cai
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Lina Zhu
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Yifan Shi
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Xiaoxiao Dong
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Zhiyuan Sun
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Zhiyuan Qiao
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Yahui Yang
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Weike Zhang
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Haiyong Mao
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Aiguo Chen
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China.
- Nanjing Sport Institute, Nanjing, Jiangsu, China.
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Guo Z, Tang X, Xiao S, Yan H, Sun S, Yang Z, Huang L, Chen Z, Wang Y. Systematic review and meta-analysis: multimodal functional and anatomical neural alterations in autism spectrum disorder. Mol Autism 2024; 15:16. [PMID: 38576034 PMCID: PMC10996269 DOI: 10.1186/s13229-024-00593-6] [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: 11/08/2023] [Accepted: 03/13/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND This meta-analysis aimed to explore the most robust findings across numerous existing resting-state functional imaging and voxel-based morphometry (VBM) studies on the functional and structural brain alterations in individuals with autism spectrum disorder (ASD). METHODS A whole-brain voxel-wise meta-analysis was conducted to compare the differences in the intrinsic functional activity and gray matter volume (GMV) between individuals with ASD and typically developing individuals (TDs) using Seed-based d Mapping software. RESULTS A total of 23 functional imaging studies (786 ASD, 710 TDs) and 52 VBM studies (1728 ASD, 1747 TDs) were included. Compared with TDs, individuals with ASD displayed resting-state functional decreases in the left insula (extending to left superior temporal gyrus [STG]), bilateral anterior cingulate cortex/medial prefrontal cortex (ACC/mPFC), left angular gyrus and right inferior temporal gyrus, as well as increases in the right supplementary motor area and precuneus. For VBM meta-analysis, individuals with ASD displayed decreased GMV in the ACC/mPFC and left cerebellum, and increased GMV in the left middle temporal gyrus (extending to the left insula and STG), bilateral olfactory cortex, and right precentral gyrus. Further, individuals with ASD displayed decreased resting-state functional activity and increased GMV in the left insula after overlapping the functional and structural differences. CONCLUSIONS The present multimodal meta-analysis demonstrated that ASD exhibited similar alterations in both function and structure of the insula and ACC/mPFC, and functional or structural alterations in the default mode network (DMN), primary motor and sensory regions. These findings contribute to further understanding of the pathophysiology of ASD.
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Affiliation(s)
- Zixuan Guo
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Xinyue Tang
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Shu Xiao
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Hong Yan
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Shilin Sun
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zibin Yang
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Li Huang
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zhuoming Chen
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Ying Wang
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
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5
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Tang X, Ma Z, SiuChing K, Xu L, Liu Q, Yang L, Wang Y, Cao Q, Li X, Liu J. Altered Intrinsic Brain Spontaneous Activities in Children With Autism Spectrum Disorder Comorbid ADHD. J Atten Disord 2024; 28:834-846. [PMID: 38379197 DOI: 10.1177/10870547241233207] [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] [Indexed: 02/22/2024]
Abstract
OBJECTIVE The study involved 17 children with Autism Spectrum Disorder (ASD), 21 with ADHD, 30 with both (ASD + ADHD), and 28 typically developing children (TD). METHODS The amplitude of low-frequency fluctuations (ALFF) was measured as a regional brain function index. Intrinsic functional connectivity (iFC) was also analyzed using the region of interest (ROI) identified in ALFF analysis. Statistical analysis was done via one-way ANCOVA, Gaussian random field (GRF) theory, and post-hoc pair-wise comparisons. RESULTS The ASD + ADHD group showed increased ALFF in the left middle frontal gyrus (MFG.L) compared to the TD group. In terms of global brain function, the ASD group displayed underconnectivity in specific regions compared to the ASD + ADHD and TD groups. CONCLUSION The findings contribute to understanding the neural mechanisms underlying ASD + ADHD.
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Affiliation(s)
- Xinzhou Tang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- China National Children's Health Center (Beijing), China
| | - Zenghui Ma
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Kat SiuChing
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Lingzi Xu
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Qinyi Liu
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Li Yang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yufeng Wang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Qingjiu Cao
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Xue Li
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Jing Liu
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
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6
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Bedford SA, Lai MC, Lombardo MV, Chakrabarti B, Ruigrok A, Suckling J, Anagnostou E, Lerch JP, Taylor M, Nicolson R, Stelios G, Crosbie J, Schachar R, Kelley E, Jones J, Arnold PD, Courchesne E, Pierce K, Eyler LT, Campbell K, Barnes CC, Seidlitz J, Alexander-Bloch AF, Bullmore ET, Baron-Cohen S, Bethlehem RA. Brain-charting autism and attention deficit hyperactivity disorder reveals distinct and overlapping neurobiology. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.06.23299587. [PMID: 38106166 PMCID: PMC10723556 DOI: 10.1101/2023.12.06.23299587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Background Autism and attention deficit hyperactivity disorder (ADHD) are heterogeneous neurodevelopmental conditions with complex underlying neurobiology. Despite overlapping presentation and sex-biased prevalence, autism and ADHD are rarely studied together, and sex differences are often overlooked. Normative modelling provides a unified framework for studying age-specific and sex-specific divergences in neurodivergent brain development. Methods Here we use normative modelling and a large, multi-site neuroimaging dataset to characterise cortical anatomy associated with autism and ADHD, benchmarked against models of typical brain development based on a sample of over 75,000 individuals. We also examined sex and age differences, relationship with autistic traits, and explored the co-occurrence of autism and ADHD (autism+ADHD). Results We observed robust neuroanatomical signatures of both autism and ADHD. Overall, autistic individuals showed greater cortical thickness and volume localised to the superior temporal cortex, whereas individuals with ADHD showed more global effects of cortical thickness increases but lower cortical volume and surface area across much of the cortex. The autism+ADHD group displayed a unique pattern of widespread increases in cortical thickness, and certain decreases in surface area. We also found evidence that sex modulates the neuroanatomy of autism but not ADHD, and an age-by-diagnosis interaction for ADHD only. Conclusions These results indicate distinct cortical differences in autism and ADHD that are differentially impacted by age, sex, and potentially unique patterns related to their co-occurrence.
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Affiliation(s)
- Saashi A. Bedford
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
| | - Meng-Chuan Lai
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK
- The Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON M6J 1H4, Canada
- Department of Psychiatry, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5T 1R8, Canada
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei 100229, Taiwan
| | - Michael V. Lombardo
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - Bhismadev Chakrabarti
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK
- Centre for Autism, School of Psychology and Clinical Language Sciences, University of Reading, Reading RG6 6ES, UK
| | - Amber Ruigrok
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester
| | - John Suckling
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
| | - Evdokia Anagnostou
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
- Department of Pediatrics, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Jason P. Lerch
- Program in Neurosciences and Mental Health, Research Institute, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK
| | - Margot Taylor
- Program in Neurosciences and Mental Health, Research Institute, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- Department of Diagnostic Imaging, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Rob Nicolson
- Department of Psychiatry, University of Western Ontario, London, Ontario, Canada
| | | | - Jennifer Crosbie
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5T 1R8, Canada
- Program in Neurosciences and Mental Health, Research Institute, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- Genetics & Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Russell Schachar
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5T 1R8, Canada
- Program in Neurosciences and Mental Health, Research Institute, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- Genetics & Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Elizabeth Kelley
- Department of Psychology, Queen’s University, Kingston, ON K7L 3N6 Canada
- Centre for Neuroscience Studies, Queen’s University, Kingston, ON K7L 3N6 Canada
- Department of Psychiatry, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - Jessica Jones
- Department of Psychology, Queen’s University, Kingston, ON K7L 3N6 Canada
- Centre for Neuroscience Studies, Queen’s University, Kingston, ON K7L 3N6 Canada
- Department of Psychiatry, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - Paul D. Arnold
- The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Departments of Psychiatry and Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Eric Courchesne
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Karen Pierce
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Lisa T. Eyler
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
| | - Kathleen Campbell
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Cynthia Carter Barnes
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Jakob Seidlitz
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Aaron F. Alexander-Bloch
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Edward T. Bullmore
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
| | - Simon Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK
- Cambridge Lifetime Autism Spectrum Service (CLASS), Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Richard A.I. Bethlehem
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
- Department of Psychology, University of Cambridge, Cambridge, UK
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7
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Berg LM, Gurr C, Leyhausen J, Seelemeyer H, Bletsch A, Schaefer T, Pretzsch CM, Oakley B, Loth E, Floris DL, Buitelaar JK, Beckmann CF, Banaschewski T, Charman T, Jones EJH, Tillmann J, Chatham CH, Bourgeron T, Murphy DG, Ecker C. The neuroanatomical substrates of autism and ADHD and their link to putative genomic underpinnings. Mol Autism 2023; 14:36. [PMID: 37794485 PMCID: PMC10552404 DOI: 10.1186/s13229-023-00568-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 09/19/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND Autism spectrum disorders (ASD) are neurodevelopmental conditions accompanied by differences in brain development. Neuroanatomical differences in autism are variable across individuals and likely underpin distinct clinical phenotypes. To parse heterogeneity, it is essential to establish how the neurobiology of ASD is modulated by differences associated with co-occurring conditions, such as attention-deficit/hyperactivity disorder (ADHD). This study aimed to (1) investigate between-group differences in autistic individuals with and without co-occurring ADHD, and to (2) link these variances to putative genomic underpinnings. METHODS We examined differences in cortical thickness (CT) and surface area (SA) and their genomic associations in a sample of 533 individuals from the Longitudinal European Autism Project. Using a general linear model including main effects of autism and ADHD, and an ASD-by-ADHD interaction, we examined to which degree ADHD modulates the autism-related neuroanatomy. Further, leveraging the spatial gene expression data of the Allen Human Brain Atlas, we identified genes whose spatial expression patterns resemble our neuroimaging findings. RESULTS In addition to significant main effects for ASD and ADHD in fronto-temporal, limbic, and occipital regions, we observed a significant ASD-by-ADHD interaction in the left precentral gyrus and the right frontal gyrus for measures of CT and SA, respectively. Moreover, individuals with ASD + ADHD differed in CT to those without. Both main effects and the interaction were enriched for ASD-but not for ADHD-related genes. LIMITATIONS Although we employed a multicenter design to overcome single-site recruitment limitations, our sample size of N = 25 individuals in the ADHD only group is relatively small compared to the other subgroups, which limits the generalizability of the results. Also, we assigned subjects into ADHD positive groupings according to the DSM-5 rating scale. While this is sufficient for obtaining a research diagnosis of ADHD, our approach did not take into account for how long the symptoms have been present, which is typically considered when assessing ADHD in the clinical setting. CONCLUSION Thus, our findings suggest that the neuroanatomy of ASD is significantly modulated by ADHD, and that autistic individuals with co-occurring ADHD may have specific neuroanatomical underpinnings potentially mediated by atypical gene expression.
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Affiliation(s)
- Lisa M Berg
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Deutschordenstrasse 50, 60528, Frankfurt am Main, Germany.
- Brain Imaging Center, Goethe University, 60528, Frankfurt am Main, Germany.
- Department of Biosciences, Goethe University Frankfurt, 60438, Frankfurt am Main, Germany.
| | - Caroline Gurr
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Deutschordenstrasse 50, 60528, Frankfurt am Main, Germany
- Brain Imaging Center, Goethe University, 60528, Frankfurt am Main, Germany
| | - Johanna Leyhausen
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Deutschordenstrasse 50, 60528, Frankfurt am Main, Germany
- Brain Imaging Center, Goethe University, 60528, Frankfurt am Main, Germany
- Department of Biosciences, Goethe University Frankfurt, 60438, Frankfurt am Main, Germany
| | - Hanna Seelemeyer
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Deutschordenstrasse 50, 60528, Frankfurt am Main, Germany
- Brain Imaging Center, Goethe University, 60528, Frankfurt am Main, Germany
| | - Anke Bletsch
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Deutschordenstrasse 50, 60528, Frankfurt am Main, Germany
- Brain Imaging Center, Goethe University, 60528, Frankfurt am Main, Germany
| | - Tim Schaefer
- Fries Lab, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, 60528, Frankfurt, Germany
| | - Charlotte M Pretzsch
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK
| | - Bethany Oakley
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK
| | - Eva Loth
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK
| | - Dorothea L Floris
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich, Switzerland
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Christian F Beckmann
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Tobias Banaschewski
- Child and Adolescent Psychiatry, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Tony Charman
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Emily J H Jones
- Centre for Brain and Cognitive Development, Birkbeck, University of London, Malet Street, London, WC1E 7JL, UK
| | - Julian Tillmann
- F. Hoffmann-La Roche, Innovation Center Basel, Basel, Switzerland
| | - Chris H Chatham
- F. Hoffmann-La Roche, Innovation Center Basel, Basel, Switzerland
| | - Thomas Bourgeron
- Human Genetics and Cognitive Functions Unit, Institut Pasteur, Paris, France
| | - Declan G Murphy
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK
| | - Christine Ecker
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Deutschordenstrasse 50, 60528, Frankfurt am Main, Germany
- Brain Imaging Center, Goethe University, 60528, Frankfurt am Main, Germany
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK
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8
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Orozco IM, Hernandez K, Mata J, Todd T, Mache M, Jarvis DN. Evaluation of Skipping in College Students with and without Autism Spectrum Disorder. Percept Mot Skills 2023; 130:2015-2030. [PMID: 37548573 DOI: 10.1177/00315125231194342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Children with Autism Spectrum Disorder (ASD) demonstrate motor skill deficits in comparison to their neurotypically developing peers. However, it is unknown whether these motor skill deficits persist into adulthood. We evaluated skipping kinematics and motor performance in college students with and without ASD. We collected kinematic data from 20 college students, 10 with ASD and 10 without ASD, using a 12-camera three-dimensional motion capture system while participants completed three skipping trials. We scored skipping performance using Everyone Can! and the Halverson Developmental Sequences for Skipping, and we processed data using Cortex, Visual 3D, and MATLAB. We extracted data for center of mass excursion, peak velocity of joint extension, and peak joint angles of the hip, knee, and ankle of the dominant leg. Independent t-tests and Mann-Whitney U tests were used to examine differences between groups with an alpha level of p ≤ 0.05. We found no statistically significant differences for peak sagittal plane joint angles, velocities, or vertical center of mass excursion. However, the ASD group demonstrated greater medio-lateral center of mass displacement (ASD M = .08, SD = .1 m; Control M = .03, S = .03 m; p = .026) and greater frontal plane knee excursion (ASD M = 11.49, SD = 6.23°; Control M = 5.29, SD = 2.44°; p = .01) than participants without ASD. Similarly, the ASD group performed less proficiently in skipping than the group without ASD, as assessed by the developmental scoring methods (Everyone Can! composite score medians [interquartile range]: ASD M = 10.5, SD = 8; Control M = 15.0, SD = 0, p = .008). Despite many similarities in skipping kinematics between groups, participants with ASD were less proficient in skip performance than participants without ASD. Interventions for individuals with ASD addressing skipping proficiency or the performance of other locomotor skills, such as running and jumping, may promote participation in activities that involve complex motor skills and help individuals with ASD lead more physically active lives.
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Affiliation(s)
- Isabel Munoz Orozco
- Department of Kinesiology, California State University, Northridge, CA, USA
- Department of Kinesiology, University of Michigan, Ann Arbor, MI, USA
| | - Kimberly Hernandez
- Department of Kinesiology, California State University, Northridge, CA, USA
| | - Joevanie Mata
- Department of Kinesiology, California State University, Northridge, CA, USA
| | - Teri Todd
- Department of Kinesiology, California State University, Northridge, CA, USA
| | - Melissa Mache
- Department of Kinesiology, University of Michigan, Ann Arbor, MI, USA
| | - Danielle N Jarvis
- Department of Kinesiology, University of Michigan, Ann Arbor, MI, USA
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9
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De Francesco S, Morello L, Fioravanti M, Cassaro C, Grazioli S, Busti Ceccarelli S, Nobile M, Molteni M, Crippa A. A multimodal approach can identify specific motor profiles in autism and attention-deficit/hyperactivity disorder. Autism Res 2023; 16:1550-1560. [PMID: 37530700 DOI: 10.1002/aur.2989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 07/06/2023] [Indexed: 08/03/2023]
Abstract
It is still unclear whether and to what extent the motor difficulties are specific to autism. This study aimed to determine whether a multimodal assessment of motor skills could accurately discriminate autistic children from attention-deficit/hyperactivity disorder (ADHD) and typically developing (TD) peers. Seventy-five children, aged 7-13, equally divided into three groups, were assessed with the developmental coordination disorder questionnaire (DCDQ), the movement assessment battery for children 2 (MABC2), the sensorimotor subtests of NEPSY-II, and the kinematic analysis of a reach-to-drop task. Principal component analysis (PCA) on DCDQ subscales revealed one factor-Caregiver Report-, whereas MABC2/NEPSY-II scores identified three factors-namely, Object Interception and Balance, Motor Imitation, and Fine-Motor Skills-. Lastly, PCA on kinematic variables identified four factors: PC1, loaded by the parameters of velocity and acceleration throughout the task, PC2 and PC3 involved the temporal parameters of the two submovements, and PC4 accounted for the wrist inclination at ball drop. When comparing autistic and TD children, Caregiver Report and Motor Imitation factors predicted membership with 87.2% of accuracy. In the model comparing ADHD and TD groups, Caregiver Report and Fine-Motor Skills predicted membership with an accuracy of 73.5%. In the last model, the Object Interception and Balance factor differentiated autistic children from ADHD with an accuracy of 73.5%. In line with our previous findings, kinematics did not differentiate school-aged autistic children from ADHD and TD peers. The present findings show that specific motor profiles in autism and ADHD can be isolated with a multimodal investigation of motor skills.
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Affiliation(s)
- Stefano De Francesco
- Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Italy
- Department of Psychology, Sigmund Freud University, Milan, Italy
| | - Luisa Morello
- Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Italy
- Department of Psychology, Sigmund Freud University, Milan, Italy
| | - Mariachiara Fioravanti
- Department of Psychology, Sigmund Freud University, Milan, Italy
- Department of Psychology, University of Milano-Bicocca, Milan, Italy
| | - Cristina Cassaro
- Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Italy
| | - Silvia Grazioli
- Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Italy
- Department of Psychology, Sigmund Freud University, Milan, Italy
| | | | - Maria Nobile
- Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Italy
| | - Massimo Molteni
- Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Italy
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10
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van Oort J, Llera A, Kohn N, Mei T, Collard RM, Duyser FA, Vrijsen JN, Beckmann CF, Schene AH, Fernández G, Tendolkar I, van Eijndhoven PFP. Brain structure and function link to variation in biobehavioral dimensions across the psychopathological continuum. eLife 2023; 12:e85006. [PMID: 37334965 PMCID: PMC10519708 DOI: 10.7554/elife.85006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 06/16/2023] [Indexed: 06/21/2023] Open
Abstract
In line with the Research Domain Criteria (RDoC) , we set out to investigate the brain basis of psychopathology within a transdiagnostic, dimensional framework. We performed an integrative structural-functional linked independent component analysis to study the relationship between brain measures and a broad set of biobehavioral measures in a sample (n = 295) with both mentally healthy participants and patients with diverse non-psychotic psychiatric disorders (i.e. mood, anxiety, addiction, and neurodevelopmental disorders). To get a more complete understanding of the underlying brain mechanisms, we used gray and white matter measures for brain structure and both resting-state and stress scans for brain function. The results emphasize the importance of the executive control network (ECN) during the functional scans for the understanding of transdiagnostic symptom dimensions. The connectivity between the ECN and the frontoparietal network in the aftermath of stress was correlated with symptom dimensions across both the cognitive and negative valence domains, and also with various other health-related biological and behavioral measures. Finally, we identified a multimodal component that was specifically associated with the diagnosis of autism spectrum disorder (ASD). The involvement of the default mode network, precentral gyrus, and thalamus across the different modalities of this component may reflect the broad functional domains that may be affected in ASD, like theory of mind, motor problems, and sensitivity to sensory stimuli, respectively. Taken together, the findings from our extensive, exploratory analyses emphasize the importance of a dimensional and more integrative approach for getting a better understanding of the brain basis of psychopathology.
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Affiliation(s)
- Jasper van Oort
- Department of Psychiatry, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
| | - Alberto Llera
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University NijmegenNijmegenNetherlands
| | - Nils Kohn
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University NijmegenNijmegenNetherlands
| | - Ting Mei
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University NijmegenNijmegenNetherlands
| | - Rose M Collard
- Department of Psychiatry, Radboud University Nijmegen Medical CentreNijmegenNetherlands
| | - Fleur A Duyser
- Department of Psychiatry, Radboud University Nijmegen Medical CentreNijmegenNetherlands
| | - Janna N Vrijsen
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Pro Persona Mental Health Care, Depression Expertise CenterNijmegenNetherlands
| | - Christian F Beckmann
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University NijmegenNijmegenNetherlands
- Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of OxfordOxfordUnited Kingdom
| | - Aart H Schene
- Department of Psychiatry, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
| | - Guillén Fernández
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University NijmegenNijmegenNetherlands
| | - Indira Tendolkar
- Department of Psychiatry, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
| | - Philip FP van Eijndhoven
- Department of Psychiatry, Radboud University Nijmegen Medical CentreNijmegenNetherlands
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical CentreNijmegenNetherlands
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11
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Altered cortical gyrification, sulcal depth, and fractal dimension in the autism spectrum disorder comorbid attention-deficit/hyperactivity disorder than the autism spectrum disorder. Neuroreport 2023; 34:93-101. [PMID: 36608165 DOI: 10.1097/wnr.0000000000001864] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Autism spectrum disorder (ASD) frequently occurs accompanied by attention-deficit/hyperactivity disorder (ADHD), which catches increasing attention. The comorbid diagnosis of ASD with ADHD (ASD + ADHD) is permitted in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-V). However, compared to autism spectrum disorder without other symptoms (ASD-only), the special neural underpinnings in ASD+ADHD remain unclear. Therefore, this study aimed to uncover the differences in cortical complexity between ASD + ADHD and ASD-only patients. A total of 114 ASD participants (i.e. containing 40 ASD + ADHD and 74 ASD-only participants) with T1-weighted magnetic resonance images were collected from the Autism Brain Imaging Data Exchange II. Afterward, a surface-based morphometry method was carried out to compare the cortical complexity (i.e. gyrification index, fractal dimension, and sulcal depth) between the ASD + ADHD and ASD-only cohorts. Results showed the increased fractal dimension in the right fusiform gyrus of the ASD + ADHD cohort in comparison to the ASD-only cohort. Moreover, the ASD + ADHD cohort exhibited increased sulcal depth in the left middle temporal gyrus/inferior temporal gyrus and right middle temporal gyrus compared to the ASD-only cohort. Last but not least, the increased gyrification index in the insula/postcentral gyrus was observed in the ASD + ADHD cohort in comparison to the ASD-only cohort. Overall, the present study contributes to the delineation of particular structural abnormalities in ASD + ADHD than ASD-only, enriching the evidence of the combined phenotype of ASD + ADHD.
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12
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Klöbl M, Prillinger K, Diehm R, Doganay K, Lanzenberger R, Poustka L, Plener P, Konicar L. Individual brain regulation as learned via neurofeedback is related to affective changes in adolescents with autism spectrum disorder. Child Adolesc Psychiatry Ment Health 2023; 17:6. [PMID: 36635760 PMCID: PMC9837918 DOI: 10.1186/s13034-022-00549-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 12/18/2022] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Emotions often play a role in neurofeedback (NF) regulation strategies. However, investigations of the relationship between the induced neuronal changes and improvements in affective domains are scarce in electroencephalography-based studies. Thus, we extended the findings of the first study on slow cortical potential (SCP) NF in autism spectrum disorder (ASD) by linking affective changes to whole-brain activity during rest and regulation. METHODS Forty-one male adolescents with ASD were scanned twice at rest using functional magnetic resonance imaging. Between scans, half underwent NF training, whereas the other half received treatment as usual. Furthermore, parents reported on their child's affective characteristics at each measurement. The NF group had to alternatingly produce negative and positive SCP shifts during training and was additionally scanned using functional magnetic resonance imaging while applying their developed regulation strategies. RESULTS No significant treatment group-by-time interactions in affective or resting-state measures were found. However, we found increases of resting activity in the anterior cingulate cortex and right inferior temporal gyrus as well as improvements in affective characteristics over both groups. Activation corresponding to SCP differentiation in these regions correlated with the affective improvements. A further correlation was found for Rolandic operculum activation corresponding to positive SCP shifts. There were no significant correlations with the respective achieved SCP regulation during NF training. CONCLUSION SCP NF in ASD did not lead to superior improvements in neuronal or affective functioning compared to treatment as usual. However, the affective changes might be related to the individual strategies and their corresponding activation patterns as indicated by significant correlations on the whole-brain level. Trial registration This clinical trial was registered at drks.de (DRKS00012339) on 20th April, 2017.
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Affiliation(s)
- Manfred Klöbl
- Department of Psychiatry & Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Karin Prillinger
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria
| | - Robert Diehm
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria
| | - Kamer Doganay
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry & Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry, Medical University of Göttingen, Göttingen, Germany
| | - Paul Plener
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Ulm, Ulm, Germany
| | - Lilian Konicar
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria.
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13
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Kangarani-Farahani M, Izadi-Najafabadi S, Zwicker JG. How does brain structure and function on MRI differ in children with autism spectrum disorder, developmental coordination disorder, and/or attention deficit hyperactivity disorder? Int J Dev Neurosci 2022; 82:681-715. [PMID: 36084947 DOI: 10.1002/jdn.10228] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 08/22/2022] [Accepted: 09/05/2022] [Indexed: 11/09/2022] Open
Abstract
AIM The purpose of this study was to systematically review the neural similarities and differences in brain structure and function, measured by magnetic resonance imaging (MRI), in children with neurodevelopmental disorders that commonly co-occur to understand if and how they have shared neuronal characteristics. METHOD Using systematic review methodology, the following databases were comprehensively searched: MEDLINE, EMBASE, CINAHL, CENTRAL, PsycINFO, and ProQuest from the earliest record up to December 2021. Inclusion criteria were: (1) peer-reviewed studies, case reports, or theses; (2) children under 18 years of age with at least one of the following neurodevelopmental disorders: autism spectrum disorder (ASD), attention hyperactivity deficit disorder (ADHD), developmental coordination disorder (DCD), and their co-occurrence; (3) studies based on MRI modalities (i.e., structural MRI, diffusion tensor imaging (DTI), and resting-state fMRI). Thirty-one studies that met the inclusion criteria were included for quality assessment by two independent reviewers using the Appraisal tool for Cross-Sectional Studies (AXIS). RESULTS Studies compared brain structure and function of children with DCD and ADHD (n=6), DCD and ASD (n=1), ASD and ADHD (n=17), and various combinations of these co-occurring conditions (n=7). Structural neuroimaging (n=15) was the most commonly reported modality, followed by resting-state (n=8), DTI (n=5), and multi-modalities (n=3). INTERPRETATION Evidence indicated that the neural correlates of the co-occurring conditions were more widespread and distinct compared to a single diagnosis. The majority of findings (77%) suggested that each neurodevelopmental disorder had more distinct neural correlates than shared neural features, suggesting that each disorder is distinct despite commonly co-occurring with each other. As the number of papers examining the co-occurrence of ASD, DCD, and/or ADHD was limited and most findings were not corrected for multiple comparisons, these results must be interpreted with caution.
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Affiliation(s)
- Melika Kangarani-Farahani
- Graduate Programs in Rehabilitation Sciences, University of British Columbia, Vancouver, Canada.,BC Children's Hospital Research Institute, Vancouver, Canada
| | - Sara Izadi-Najafabadi
- Graduate Programs in Rehabilitation Sciences, University of British Columbia, Vancouver, Canada.,BC Children's Hospital Research Institute, Vancouver, Canada
| | - Jill G Zwicker
- BC Children's Hospital Research Institute, Vancouver, Canada.,Department of Occupational Science & Occupational Therapy, University of British Columbia, Vancouver, Canada.,Department of Pediatrics, University of British Columbia, Vancouver, Canada.,CanChild Centre for Childhood Disability Research, Hamilton, Canada
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14
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Cai Y, Zhao J, Wang L, Xie Y, Fan X. Altered topological properties of white matter structural network in adults with autism spectrum disorder. Asian J Psychiatr 2022; 75:103211. [PMID: 35907341 DOI: 10.1016/j.ajp.2022.103211] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 07/10/2022] [Accepted: 07/12/2022] [Indexed: 12/27/2022]
Abstract
BACKGROUND Autism spectrum disorder (ASD) is a complex developmental disability and is currently viewed as a disorder of brain connectivity in which white matter abnormalities. However, the majority of the research to date has focused on children with ASD. Understanding the topological organization of the white matter structural network in adults may help uncover the nature of ASD pathology in adulthood. METHOD This study investigated the topological properties of white matter structural network using diffusion tensor imaging and graph theory analysis in a sample of 32 adults with ASD compared to 35 matched typically developing (TD) controls. Group differences in global and nodal topological metrics were compared. The relationships between the altered network metrics and the severity of clinical symptoms were calculated. RESULTS Compared to TD controls, ASD patients exhibited decreased small-worldness and increased global efficiency. In addition, the reduced nodal efficiency and increased nodal degree were found in the frontal (e.g., the inferior frontal gyrus) and parietal (e.g., postcentral gyrus) regions. Furthermore, the altered topological metrics (e.g., increased global efficiency and reduced nodal efficiency) were correlated with the severity of ASD symptoms. CONCLUSION These results indicated that the complicatedly topological organization of the white matter structural network was abnormal and may play an essential role in the underlying pathological mechanism of ASD in adults.
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Affiliation(s)
- Yun Cai
- Department of Developmental Neuropsychology, School of Psychology, Army Medical University, Chongqing 400038, China
| | - Jinghui Zhao
- Department of Developmental Neuropsychology, School of Psychology, Army Medical University, Chongqing 400038, China
| | - Lian Wang
- Department of Developmental Neuropsychology, School of Psychology, Army Medical University, Chongqing 400038, China
| | - Yuanjun Xie
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an 710030, China.
| | - Xiaotang Fan
- Department of Developmental Neuropsychology, School of Psychology, Army Medical University, Chongqing 400038, China.
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15
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Hau J, Baker A, Chaaban C, Kohli JS, Jao Keehn RJ, Linke AC, Mash LE, Wilkinson M, Kinnear MK, Müller RA, Carper RA. Reduced asymmetry of the hand knob area and decreased sensorimotor u-fiber connectivity in middle-aged adults with autism. Cortex 2022; 153:110-125. [PMID: 35640320 PMCID: PMC9988270 DOI: 10.1016/j.cortex.2022.04.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 12/07/2021] [Accepted: 04/06/2022] [Indexed: 01/27/2023]
Abstract
Individuals with autism spectrum disorder (ASD) frequently present with impairments in motor skills (e.g., limb coordination, handwriting and balance), which are observed across the lifespan but remain largely untreated. Many adults with ASD may thus experience adverse motor outcomes in aging, when physical decline naturally occurs. The 'hand knob' of the sensorimotor cortex is an area that is critical for motor control of the fingers and hands. However, this region has received little attention in ASD research, especially in adults after midlife. The hand knob area of the precentral (PrChand) and postcentral (PoChand) gyri was semi-manually delineated in 49 right-handed adults (25 ASD, 24 typical comparison [TC] participants, aged 41-70 years). Using multimodal (T1-weighted, diffusion-weighted, and resting-state functional) MRI, we examined the morphology, ipsilateral connectivity and laterality of these regions. We also explored correlations between hand knob measures with motor skills and autism symptoms, and between structural and functional connectivity measures. Bayesian analyses indicated moderate evidence of group effects with greater right PrChand volume and reduced leftward laterality of PrChand and PoChand volume in the ASD relative to TC group. Furthermore, the right PoC-PrChand u-fibers showed increased mean diffusivity in the ASD group. In the ASD group, right u-fiber volume positively correlated with corresponding functional connectivity but did not survive multiple comparisons correction. Correlations of hand knob measures and behavior were observed in the ASD group but did not survive multiple comparisons correction. Our findings suggest that morphological laterality and u-fiber connectivity of the sensorimotor network, putatively involved in hand motor/premotor function, may be diminished in middle-aged adults with ASD, perhaps rendering them more vulnerable to motor decline in old age. The altered morphology may relate to atypical functional motor asymmetries found in ASD earlier in life, possibly reflecting altered functional asymmetries over time.
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Affiliation(s)
- Janice Hau
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Ashley Baker
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Chantal Chaaban
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Jiwandeep S Kohli
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, CA, USA
| | - R Joanne Jao Keehn
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Annika C Linke
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Lisa E Mash
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Molly Wilkinson
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Mikaela K Kinnear
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Ralph-Axel Müller
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Ruth A Carper
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, CA, USA.
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16
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Migó M, Guillory SB, McLaughlin CS, Isenstein EL, Grosman HE, Thakkar KN, Castellanos FX, Foss-Feig JH. Investigating Motor Preparation in Autism Spectrum Disorder With and Without Attention Deficit/Hyperactivity Disorder. J Autism Dev Disord 2022; 52:2379-2387. [PMID: 34160725 PMCID: PMC10015467 DOI: 10.1007/s10803-021-05130-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/01/2021] [Indexed: 11/26/2022]
Abstract
This study investigated motor preparation and action-consequence prediction using the lateralized readiness potential (LRP). Motor impairments are common in autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD), which commonly co-occur. Alterations in predictive processes may impact motor planning. Whether motor planning deficits are characteristic of ASD broadly or magnified in the context of co-morbid ADHD is unclear. ASD children with (ASD + ADHD; n = 12) and without (ASD - ADHD; n = 9) comorbid ADHD and typical controls (n = 29) performed voluntary motor actions that either did or did not result in auditory consequences. ASD - ADHD children demonstrated LRP enhancement when their action produced an effect while ASD + ADHD children had attenuated responses regardless of action-effect pairings. Findings suggest influence of ADHD comorbidity on motor preparation and prediction in ASD.
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Affiliation(s)
- Marta Migó
- Department of Psychiatry, Massachusetts General Hospital/Harvard Medical School, Charlestown, MA, USA
- Seaver Autism Center for Research and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1230, New York, NY, 10029, USA
- Department of Psychology, New York University, New York, NY, USA
| | - Sylvia B Guillory
- Seaver Autism Center for Research and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1230, New York, NY, 10029, USA
| | - Christopher S McLaughlin
- Seaver Autism Center for Research and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1230, New York, NY, 10029, USA
| | - Emily L Isenstein
- Seaver Autism Center for Research and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1230, New York, NY, 10029, USA
- Brain and Cognitive Sciences Department, University of Rochester, Rochester, NY, USA
| | - Hannah E Grosman
- Seaver Autism Center for Research and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1230, New York, NY, 10029, USA
| | - Katharine N Thakkar
- Seaver Autism Center for Research and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1230, New York, NY, 10029, USA
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - Francisco X Castellanos
- Department of Child and Adolescent Psychiatry, New York University Grossman School of Medicine, New York, NY, USA
- Division of Clinical Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Jennifer H Foss-Feig
- Seaver Autism Center for Research and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1230, New York, NY, 10029, USA.
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17
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McKinney WS, Kelly SE, Unruh KE, Shafer RL, Sweeney JA, Styner M, Mosconi MW. Cerebellar Volumes and Sensorimotor Behavior in Autism Spectrum Disorder. Front Integr Neurosci 2022; 16:821109. [PMID: 35592866 PMCID: PMC9113114 DOI: 10.3389/fnint.2022.821109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 03/31/2022] [Indexed: 11/13/2022] Open
Abstract
Background Sensorimotor issues are common in autism spectrum disorder (ASD), though their neural bases are not well understood. The cerebellum is vital to sensorimotor control and reduced cerebellar volumes in ASD have been documented. Our study examined the extent to which cerebellar volumes are associated with multiple sensorimotor behaviors in ASD. Materials and Methods Fifty-eight participants with ASD and 34 typically developing (TD) controls (8-30 years) completed a structural MRI scan and precision grip testing, oculomotor testing, or both. Force variability during precision gripping as well as absolute error and trial-to-trial error variability of visually guided saccades were examined. Volumes of cerebellar lobules, vermis, and white matter were quantified. The relationships between each cerebellar region of interest (ROI) and force variability, saccade error, and saccade error variability were examined. Results Relative to TD controls, individuals with ASD showed increased force variability. Individuals with ASD showed a reduced volume of cerebellar vermis VI-VII relative to TD controls. Relative to TD females, females with ASD showed a reduced volume of bilateral cerebellar Crus II/lobule VIIB. Increased volume of Crus I was associated with increased force variability. Increased volume of vermal lobules VI-VII was associated with reduced saccade error for TD controls but not individuals with ASD. Increased right lobule VIII and cerebellar white matter volumes as well as reduced right lobule VI and right lobule X volumes were associated with greater ASD symptom severity. Reduced volumes of right Crus II/lobule VIIB were associated with greater ASD symptom severity in only males, while reduced volumes of right Crus I were associated with more severe restricted and repetitive behaviors only in females. Conclusion Our finding that increased force variability in ASD is associated with greater cerebellar Crus I volumes indicates that disruption of sensory feedback processing supported by Crus I may contribute to skeletomotor differences in ASD. Results showing that volumes of vermal lobules VI-VII are associated with saccade precision in TD but not ASD implicates atypical organization of the brain systems supporting oculomotor control in ASD. Associations between volumes of cerebellar subregions and ASD symptom severity suggest cerebellar pathological processes may contribute to multiple developmental challenges in ASD.
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Affiliation(s)
- Walker S. McKinney
- Schiefelbusch Institute for Life Span Studies and Kansas Center for Autism Research and Training (K-CART), University of Kansas, Lawrence, KS, United States
- Clinical Child Psychology Program, University of Kansas, Lawrence, KS, United States
| | - Shannon E. Kelly
- Schiefelbusch Institute for Life Span Studies and Kansas Center for Autism Research and Training (K-CART), University of Kansas, Lawrence, KS, United States
- Department of Psychology, University of Kansas, Lawrence, KS, United States
| | - Kathryn E. Unruh
- Schiefelbusch Institute for Life Span Studies and Kansas Center for Autism Research and Training (K-CART), University of Kansas, Lawrence, KS, United States
| | - Robin L. Shafer
- Schiefelbusch Institute for Life Span Studies and Kansas Center for Autism Research and Training (K-CART), University of Kansas, Lawrence, KS, United States
| | - John A. Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Martin Styner
- Department of Psychiatry and Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Matthew W. Mosconi
- Schiefelbusch Institute for Life Span Studies and Kansas Center for Autism Research and Training (K-CART), University of Kansas, Lawrence, KS, United States
- Clinical Child Psychology Program, University of Kansas, Lawrence, KS, United States
- Department of Psychology, University of Kansas, Lawrence, KS, United States
- *Correspondence: Matthew W. Mosconi,
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18
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Arunachalam Chandran V, Pliatsikas C, Neufeld J, O'Connell G, Haffey A, DeLuca V, Chakrabarti B. Brain structural correlates of autistic traits across the diagnostic divide: A grey matter and white matter microstructure study. Neuroimage Clin 2021; 32:102897. [PMID: 34911200 PMCID: PMC8641248 DOI: 10.1016/j.nicl.2021.102897] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 10/25/2021] [Accepted: 11/22/2021] [Indexed: 12/02/2022]
Abstract
Autism Spectrum Disorders (ASD) are a set of neurodevelopmental conditions characterised by difficulties in social interaction and communication as well as stereotyped and restricted patterns of interest. Autistic traits exist in a continuum across the general population, whilst the extreme end of this distribution is diagnosed as clinical ASD. While many studies have investigated brain structure in autism using a case-control design, few have used a dimensional approach. To add to this growing body of literature, we investigated the structural brain correlates of autistic traits in a mixed sample of adult participants (25 ASD and 66 neurotypicals; age: 18-60 years). We examined the relationship between regional brain volumes (using voxel-based morphometry and surface-based morphometry) and white matter microstructure properties (using Diffusion Tensor Imaging) and autistic traits (using Autism Spectrum Quotient). Our findings show grey matter differences in regions including the orbitofrontal cortex and lingual gyrus, and suggestive evidence for white matter microstructure differences in tracts including the superior longitudinal fasciculus being related to higher autistic traits. These grey matter and white matter microstructure findings from our study are consistent with previous reports and support the brain structural differences in ASD. These findings provide further support for shared aetiology for autistic traits across the diagnostic divide.
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Affiliation(s)
- Varun Arunachalam Chandran
- Centre for Autism, School of Psychology and Clinical Language Sciences (SPCLS), University of Reading, UK; Center for Mind and Brain, University of California Davis, Davis, CA, USA.
| | - Christos Pliatsikas
- School of Psychology and Clinical Language Sciences, University of Reading, Harry Pitt Building, Earley Gate, Whiteknights Road, Reading RG6 6AL, UK; Centro de Ciencia Cognitiva, Facultad de Lenguas y Educación, Universidad Antonio de Nebrija, Calle de Sta. Cruz de Marcenado, 27, 28015 Madrid, Spain
| | - Janina Neufeld
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden
| | | | - Anthony Haffey
- Centre for Autism, School of Psychology and Clinical Language Sciences (SPCLS), University of Reading, UK
| | - Vincent DeLuca
- Department of Language and Culture, UiT- The Arctic University of Norway, Hansine Hansens veg 18, 9019 Tromsø, Norway
| | - Bhismadev Chakrabarti
- Centre for Autism, School of Psychology and Clinical Language Sciences (SPCLS), University of Reading, UK; Department of Psychology, Ashoka University, Sonipat, India; India Autism Center, Kolkata, India
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19
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Lidstone DE, Mostofsky SH. Moving Toward Understanding Autism: Visual-Motor Integration, Imitation, and Social Skill Development. Pediatr Neurol 2021; 122:98-105. [PMID: 34330613 PMCID: PMC8372541 DOI: 10.1016/j.pediatrneurol.2021.06.010] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 06/19/2021] [Accepted: 06/22/2021] [Indexed: 11/25/2022]
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a behavioral phenotype characterized by impaired development of social-communicative skills and excessive repetitive and stereotyped behaviors. Despite high phenotypic heterogeneity in ASD, a meaningful subpopulation of children with ASD (∼90%) show significant general motor impairment. More focused studies on the nature of motor impairment in ASD reveal that children with ASD are particularly impaired on tasks such as ball catching and motor imitation that require efficient visual-motor integration (VMI). Motor computational approaches also provide evidence for VMI impairment showing that children with ASD form internal sensorimotor representations that bias proprioceptive over visual feedback. Impaired integration of visual information to form internal representations of others' and the external world may explain observed impairments on VMI tasks and motor imitation of others. Motor imitation is crucial for acquiring both social and motor skills, and impaired imitation skill may contribute to the observed core behavioral phenotype of ASD. The current review examines evidence supporting VMI impairment as a core feature of ASD that may contribute to both impaired motor imitation and social-communicative skill development. We propose that understanding the neurobiological mechanisms underlying VMI impairment in ASD may be key to discovery of therapeutics to address disability in children and adults with ASD.
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Affiliation(s)
- Daniel E Lidstone
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, Maryland; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
| | - Stewart H Mostofsky
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, Maryland; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
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20
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Supekar K, Ryali S, Mistry P, Menon V. Aberrant dynamics of cognitive control and motor circuits predict distinct restricted and repetitive behaviors in children with autism. Nat Commun 2021; 12:3537. [PMID: 34112791 PMCID: PMC8192778 DOI: 10.1038/s41467-021-23822-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 05/19/2021] [Indexed: 11/08/2022] Open
Abstract
Restricted and repetitive behaviors (RRBs) are a defining clinical feature of autism spectrum disorders (ASD). RRBs are highly heterogeneous with variable expression of circumscribed interests (CI), insistence of sameness (IS) and repetitive motor actions (RM), which are major impediments to effective functioning in individuals with ASD; yet, the neurobiological basis of CI, IS and RM is unknown. Here we evaluate a unified functional brain circuit model of RRBs and test the hypothesis that CI and IS are associated with aberrant cognitive control circuit dynamics, whereas RM is associated with aberrant motor circuit dynamics. Using task-free fMRI data from 96 children, we first demonstrate that time-varying cross-network interactions in cognitive control circuit are significantly reduced and inflexible in children with ASD, and predict CI and IS symptoms, but not RM symptoms. Furthermore, we show that time-varying cross-network interactions in motor circuit are significantly greater in children with ASD, and predict RM symptoms, but not CI or IS symptoms. We confirmed these results using cross-validation analyses. Moreover, we show that brain-clinical symptom relations are not detected with time-averaged functional connectivity analysis. Our findings provide neurobiological support for the validity of RRB subtypes and identify dissociable brain circuit dynamics as a candidate biomarker for a key clinical feature of ASD.
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Affiliation(s)
- Kaustubh Supekar
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA.
| | - Srikanth Ryali
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Percy Mistry
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Vinod Menon
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA.
- Department of Neurology & Neurological Sciences, Stanford University, Stanford, CA, USA.
- Stanford Neuroscience Institute, Stanford University, Stanford, CA, USA.
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21
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Albajara Sáenz A, Villemonteix T, Van Schuerbeek P, Baijot S, Septier M, Defresne P, Delvenne V, Passeri G, Raeymaekers H, Victoor L, Willaye E, Peigneux P, Deconinck N, Massat I. Motor Abnormalities in Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder Are Associated With Regional Grey Matter Volumes. Front Neurol 2021; 12:666980. [PMID: 34017307 PMCID: PMC8129495 DOI: 10.3389/fneur.2021.666980] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 03/26/2021] [Indexed: 12/27/2022] Open
Abstract
Attention-Deficit/Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) are associated with motor impairments, with some children holding a comorbid diagnosis of Developmental Coordination Disorder (DCD). However, DCD is underdiagnosed in these populations and the volume abnormalities that contribute to explaining these motor impairments are poorly understood. In this study, motor abilities as measured by the Developmental Coordination Disorder Questionnaire (DCDQ) were compared between children with ADHD, children with ASD and typically developing (TD) children, aged 8–12 years old. Additionally, the association between the DCDQ scores (general coordination, fine motor/handwriting, control during movement, total) and regional volume abnormalities were explored in 6 regions of interest (pre-central gyrus, post-central gyrus, inferior parietal cortex, superior frontal gyrus, middle frontal gyrus, medial frontal gyrus), within each group and across all participants. Children with ASD and children with ADHD showed impaired motor abilities in all the DCDQ-derived scores compared to TD children. Additionally, most children with ASD or ADHD had an indication or suspicion of DCD. Within the ASD group, coordination abilities were associated with the volume of the right medial frontal gyrus, and within the ADHD group, the total DCDQ score was associated with the volume of the right superior frontal gyrus. This study underlines the importance of routinely checking motor abilities in populations with ASD or ADHD in clinical practise and contributes to the understanding of structural abnormalities subtending motor impairments in these disorders.
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Affiliation(s)
- Ariadna Albajara Sáenz
- Neuropsychology and Functional Neuroimaging Research Group (UR2NF) at the Centre for Research in Cognition and Neurosciences, Université Libre de Bruxelles, Brussels, Belgium
| | - Thomas Villemonteix
- Neuropsychology and Functional Neuroimaging Research Group (UR2NF) at the Centre for Research in Cognition and Neurosciences, Université Libre de Bruxelles, Brussels, Belgium.,Paris 8 Vincennes - St Denis University, Laboratoire de Psychopathologie et Neuropsychologie, Saint Denis, France
| | | | - Simon Baijot
- Neuropsychology and Functional Neuroimaging Research Group (UR2NF) at the Centre for Research in Cognition and Neurosciences, Université Libre de Bruxelles, Brussels, Belgium.,Hôpital Universitaire des Enfants Reine Fabiola (HUDERF), Université Libre de Bruxelles, Brussels, Belgium
| | - Mathilde Septier
- Hôpital Universitaire Robert Debré, Paris, France.,Institut de Psychiatrie et de Neurosciences de Paris Inserm U894 Team 1, Paris, France
| | - Pierre Defresne
- Fondation SUSA (Service Universitaire Spéécialisé pour personnes avec Autisme), Université de Mons, Mons, Belgium
| | - Véronique Delvenne
- Hôpital Universitaire des Enfants Reine Fabiola (HUDERF), Université Libre de Bruxelles, Brussels, Belgium
| | - Gianfranco Passeri
- Hôpital Universitaire des Enfants Reine Fabiola (HUDERF), Université Libre de Bruxelles, Brussels, Belgium
| | - Hubert Raeymaekers
- Department of Radiology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Laurent Victoor
- PsyPluriel, Centre Européen de Psychologie Médicale, Brussels, Belgium
| | - Eric Willaye
- Fondation SUSA (Service Universitaire Spéécialisé pour personnes avec Autisme), Université de Mons, Mons, Belgium
| | - Philippe Peigneux
- Neuropsychology and Functional Neuroimaging Research Group (UR2NF) at the Centre for Research in Cognition and Neurosciences, Université Libre de Bruxelles, Brussels, Belgium
| | - Nicolas Deconinck
- Hôpital Universitaire des Enfants Reine Fabiola (HUDERF), Université Libre de Bruxelles, Brussels, Belgium
| | - Isabelle Massat
- Neuropsychology and Functional Neuroimaging Research Group (UR2NF) at the Centre for Research in Cognition and Neurosciences, Université Libre de Bruxelles, Brussels, Belgium.,Laboratory of Experimental Neurology, Université Libre de Bruxelles, Brussels, Belgium.,National Fund of Scientific Research, Brussels, Belgium.,Department of Neurology, Erasme Hospital, Brussels, Belgium
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22
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Lidstone DE, Rochowiak R, Mostofsky SH, Nebel MB. A Data Driven Approach Reveals That Anomalous Motor System Connectivity is Associated With the Severity of Core Autism Symptoms. Autism Res 2021:10.1002/aur.2476. [PMID: 33484109 PMCID: PMC8931705 DOI: 10.1002/aur.2476] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 11/27/2020] [Accepted: 01/07/2021] [Indexed: 11/11/2022]
Abstract
This study examined whether disruptions in connectivity involving regions critical for learning, planning, and executing movements are relevant to core autism symptoms. Spatially constrained ICA was performed using resting-state fMRI from 419 children (autism spectrum disorder (ASD) = 105; typically developing (TD) = 314) to identify functional motor subdivisions. Comparing the spatial organization of each subdivision between groups, we found voxels that contributed significantly less to the right posterior cerebellar component in children with ASD versus TD (P <0.001). Next, we examined the effect of diagnosis on right posterior cerebellar connectivity with all other motor subdivisions. The model was significant (P = 0.014) revealing that right posterior cerebellar connectivity with bilateral dorsomedial primary motor cortex was, on average, stronger in children with ASD, while right posterior cerebellar connectivity with left-inferior parietal lobule (IPL), bilateral dorsolateral premotor cortex, and supplementary motor area was stronger in TD children (all P ≤0.02). We observed a diagnosis-by-connectivity interaction such that for children with ASD, elevated social-communicative and excessive repetitive-behavior symptom severity were both associated with right posterior cerebellar-left-IPL hypoconnectivity (P ≤0.001). Right posterior cerebellar and left-IPL are strongly implicated in visuomotor processing with dysfunction in this circuit possibly leading to anomalous development of skills, such as motor imitation, that are crucial for effective social-communication. LAY SUMMARY: This study examines whether communication between various brain regions involved in the control of movement are disrupted in children with autism spectrum disorder (ASD). We show communication between the right posterior cerebellum and left IPL, a circuit important for efficient visual-motor integration, is disrupted in children with ASD and associated with the severity of ASD symptoms. These results may explain observations of visual-motor integration impairments in children with ASD that are associated with ASD symptom severity.
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Affiliation(s)
- Daniel E. Lidstone
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Rebecca Rochowiak
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Stewart H. Mostofsky
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mary Beth Nebel
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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23
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Marawar R, Klinger N, Tarbox-Berry SI, Mittal S, Shah AK. Atypical representation of sensorimotor cortex in a patient with autism and epilepsy confirmed by direct electrocortical stimulation. Epilepsy Behav Rep 2021; 15:100403. [PMID: 33437958 PMCID: PMC7786035 DOI: 10.1016/j.ebr.2020.100403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 10/13/2020] [Accepted: 10/17/2020] [Indexed: 11/30/2022] Open
Abstract
Prior studies have used functional neuroimaging to demonstrate that the organization of the autistic brain is different from that of the non-autistic brain. Similarly, patients with epilepsy have also shown cortical reorganization. We present a case study that provides direct confirmation of disorganized sensorimotor distribution in a patient with autism spectrum disorder and epilepsy. To our knowledge, this is the first time cortical mapping directly showing abnormal cortical organization in a patient with autism spectrum disorder and epilepsy has been reported in the literature.
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Affiliation(s)
- Rohit Marawar
- Department of Neurology, Wayne State University School of Medicine, 4201 St. Antoine, UHC-8D, Detroit, MI 48201, USA
| | - Neil Klinger
- Department of Neurosurgery, Wayne State University School of Medicine, 4160, John R. Street, Suite 930, Detroit, MI 48201, USA
| | - Sarah I Tarbox-Berry
- Department of Neurology, Wayne State University School of Medicine, 4201 St. Antoine, UHC-8D, Detroit, MI 48201, USA
| | - Sandeep Mittal
- Division of Neurosurgery, Virginia Tech Carilion School of Medicine, 2331 Franklin Rd SW, Roanoke, VA 24014, USA
| | - Aashit K Shah
- Division of Neurology, Virginia Tech Carilion School of Medicine, 3 Riverside Circle, Roanoke, VA 24016, USA
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24
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Albajara Sáenz A, Van Schuerbeek P, Baijot S, Septier M, Deconinck N, Defresne P, Delvenne V, Passeri G, Raeymaekers H, Slama H, Victoor L, Willaye E, Peigneux P, Villemonteix T, Massat I. Disorder-specific brain volumetric abnormalities in Attention-Deficit/Hyperactivity Disorder relative to Autism Spectrum Disorder. PLoS One 2020; 15:e0241856. [PMID: 33166335 PMCID: PMC7652272 DOI: 10.1371/journal.pone.0241856] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 10/22/2020] [Indexed: 12/27/2022] Open
Abstract
The overlap/distinctiveness between Attention-Deficit/Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) has been increasingly investigated in recent years, particularly since the DSM-5 allows the dual diagnosis of ASD and ADHD, but the underlying brain mechanisms remain unclear. Although both disorders are associated with brain volumetric abnormalities, it is necessary to unfold the shared and specific volume abnormalities that could contribute to explain the similarities and differences in the clinical and neurocognitive profiles between ADHD and ASD. In this voxel-based morphometry (VBM) study, regional grey matter volumes (GMV) were compared between 22 children with ADHD, 18 children with ASD and 17 typically developing (TD) children aged 8 to 12 years old, controlling for age and total intracranial volume. When compared to TD children or children with ASD, children with ADHD had a larger left precuneus, and a smaller right thalamus, suggesting that these brain abnormalities are specific to ADHD relative to ASD. Overall, this study contributes to the delineation of disorder-specific structural abnormalities in ADHD and ASD.
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Affiliation(s)
- Ariadna Albajara Sáenz
- Neuropsychology and Functional Neuroimaging Research Group (UR2NF) at the Centre for Research in Cognition and Neurosciences (CRCN), Université Libre de Bruxelles (ULB), Brussels, Belgium
- * E-mail:
| | - Peter Van Schuerbeek
- Department of Radiology, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium
| | - Simon Baijot
- Neuropsychology and Functional Neuroimaging Research Group (UR2NF) at the Centre for Research in Cognition and Neurosciences (CRCN), Université Libre de Bruxelles (ULB), Brussels, Belgium
- Hôpital Universitaire des Enfants Reine Fabiola (HUDERF), Brussels, Belgium
| | - Mathilde Septier
- Hôpital Universitaire Robert Debré, Paris, France
- Institut de Psychiatrie et de Neurosciences de Paris Inserm U894 Team 1, Paris, France
| | - Nicolas Deconinck
- Hôpital Universitaire des Enfants Reine Fabiola (HUDERF), Brussels, Belgium
| | | | - Véronique Delvenne
- Hôpital Universitaire des Enfants Reine Fabiola (HUDERF), Brussels, Belgium
| | - Gianfranco Passeri
- Hôpital Universitaire des Enfants Reine Fabiola (HUDERF), Brussels, Belgium
| | - Hubert Raeymaekers
- Department of Radiology, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium
| | - Hichem Slama
- Neuropsychology and Functional Neuroimaging Research Group (UR2NF) at the Centre for Research in Cognition and Neurosciences (CRCN), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Laurent Victoor
- PsyPluriel, Centre Européen de Psychologie Médicale, Brussels, Belgium
| | - Eric Willaye
- Fondation SUSA-Université de Mons, Mons, Belgium
| | - Philippe Peigneux
- Neuropsychology and Functional Neuroimaging Research Group (UR2NF) at the Centre for Research in Cognition and Neurosciences (CRCN), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Thomas Villemonteix
- Neuropsychology and Functional Neuroimaging Research Group (UR2NF) at the Centre for Research in Cognition and Neurosciences (CRCN), Université Libre de Bruxelles (ULB), Brussels, Belgium
- Paris 8 Vincennes - St Denis University, Laboratoire de Psychopathologie et Neuropsychologie, Saint Denis, France
| | - Isabelle Massat
- Neuropsychology and Functional Neuroimaging Research Group (UR2NF) at the Centre for Research in Cognition and Neurosciences (CRCN), Université Libre de Bruxelles (ULB), Brussels, Belgium
- Laboratory of Experimental Neurology, ULB, Brussels, Belgium
- National Fund of Scientific Research (FNRS), Brussels, Belgium
- Department of Neurology, Erasme Hospital, Brussels, Belgium
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25
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Hudry K, Chetcuti L, Hocking DR. Motor functioning in developmental psychopathology: A review of autism as an example context. RESEARCH IN DEVELOPMENTAL DISABILITIES 2020; 105:103739. [PMID: 32712240 DOI: 10.1016/j.ridd.2020.103739] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Revised: 04/30/2020] [Accepted: 07/10/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Motor development research has seen substantial recent growth. However, much remains to be understood about the nature and extent of motor impairments in neurodevelopmental disorders, including their potential as early markers and/or causal determinants of downstream functioning in other domains. AIMS AND METHODS In this narrative review, drawing primarily on the autism literature by way of example, we review current accounts of the nature and consequences of motor functioning. We consider conventional approaches to measurement and study design, and current limited approaches to tackling heterogeneity. CONCLUSIONS AND IMPLICATIONS We argue that ongoing adherence to traditional diagnostic outcome classification stands in the face of mounting evidence that characteristics of neurodevelopmental disorders lie on a continuum with variability in the general population, and that three broad research avenues stand to offer a better understanding of motor functioning: The use of technology and advanced statistical methods for a more nuanced understanding of motor abilities; exploiting the prospective longitudinal tracking of at-risk infants to understand developmental consequences of early motor difference; and employing randomized controlled trials to test the utility of motor therapies whilst also testing causal hypotheses about the role of motor functioning.
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Affiliation(s)
- Kristelle Hudry
- Department of Psychology and Counseling, School of Psychology and Public Health, La Trobe University, Melbourne, VIC 3086 Australia.
| | - Lacey Chetcuti
- Department of Psychology and Counseling, School of Psychology and Public Health, La Trobe University, Melbourne, VIC 3086 Australia.
| | - Darren R Hocking
- Developmental Neuromotor and Cognition Lab, School of Psychology and Public Health, La Trobe University, Melbourne, VIC 3086 Australia.
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Lidstone DE, Miah FZ, Poston B, Beasley JF, Mostofsky SH, Dufek JS. Children with Autism Spectrum Disorder Show Impairments During Dynamic Versus Static Grip-force Tracking. Autism Res 2020; 13:2177-2189. [PMID: 32830457 DOI: 10.1002/aur.2370] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 06/10/2020] [Accepted: 06/11/2020] [Indexed: 11/07/2022]
Abstract
Impairments in visuomotor integration (VMI) may contribute to anomalous development of motor, as well as social-communicative, skills in children with autism spectrum disorder (ASD). However, it is relatively unknown whether VMI impairments are specific to children with ASD versus children with other neurodevelopmental disorders. As such, this study addressed the hypothesis that children with ASD, but not those in other clinical control groups, would show greater deficits in high-VMI dynamic grip-force tracking versus low-VMI static presentation. Seventy-nine children, aged 7-17 years, participated: 22 children with ASD, 17 children with fetal alcohol spectrum disorder (FASD), 18 children with Attention-Deficit Hyperactivity Disorder (ADHD), and 22 typically developing (TD) children. Two grip-force tracking conditions were examined: (1) a low-VMI condition (static visual target) and (2) a high-VMI condition (dynamic visual target). Low-frequency force oscillations <0.5 Hz during the visuomotor task were also examined. Two-way ANCOVAs were used to examine group x VMI and group x frequency effects (α = 0.05). Children with ASD showed a difficulty, above that seen in the ADHD/FASD groups, tracking dynamic, but not static, visual stimuli as compared to TD children. Low-frequency force oscillations <0.25 Hz were also significantly greater in the ASD versus the TD group. This study is the first to report VMI deficits during dynamic versus static grip-force tracking and increased proportion of force oscillations <0.25 Hz during visuomotor tracking in the ASD versus TD group. Dynamic VMI impairments may be a core psychophysiologic feature that could contribute to impaired development of motor and social-communicative skills in ASD. LAY SUMMARY: Children with autism spectrum disorder (ASD) show difficulties using dynamic visual stimuli to guide their own movements compared to their typically developing (TD) peers. It is unknown whether children without a diagnosis of ASD, but with other neurological disorders, show similar difficulties processing dynamic visual stimuli. In this study, we showed that children with ASD show a difficulty using dynamic, but not static, visual stimuli to guide movement that may explain atypical development of motor and social skills.
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Affiliation(s)
- Daniel E Lidstone
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, Maryland, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Department of Kinesiology and Nutrition Sciences, University of Nevada, Las Vegas, Nevada, USA
| | - Faria Z Miah
- Univerisity of Nevada, Las Vegas Medicine Ackerman Autism Center, Las Vegas, Nevada, USA
| | - Brach Poston
- Department of Kinesiology and Nutrition Sciences, University of Nevada, Las Vegas, Nevada, USA
| | - Julie F Beasley
- Univerisity of Nevada, Las Vegas Medicine Ackerman Autism Center, Las Vegas, Nevada, USA
| | - Stewart H Mostofsky
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, Maryland, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Janet S Dufek
- Department of Kinesiology and Nutrition Sciences, University of Nevada, Las Vegas, Nevada, USA
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Caballero C, Mistry S, Torres EB. Age-Dependent Statistical Changes of Involuntary Head Motion Signatures Across Autism and Controls of the ABIDE Repository. Front Integr Neurosci 2020; 14:23. [PMID: 32625069 PMCID: PMC7311771 DOI: 10.3389/fnint.2020.00023] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 03/26/2020] [Indexed: 12/22/2022] Open
Abstract
The DSM-5 definition of autism spectrum disorders includes sensory issues and part of the sensory information that the brain continuously receives comes from kinesthetic reafference, in the form of self-generated motions, including those that the nervous systems produce at rest. Some of the movements that we self-generate are deliberate, while some occur spontaneously, consequentially following those that we can control. Yet, some motions occur involuntarily, largely beneath our awareness. We do not know much about involuntary motions across development, but these motions typically manifest during resting state in fMRI studies. Here we ask in a large data set from the Autism Brain Imaging Exchange repository, whether the stochastic signatures of variability in the involuntary motions of the head typically shift with age. We further ask if those motions registered from individuals with autism show a significant departure from the normative data as we examine different age groups selected at random from cross-sections of the population. We find significant shifts in statistical features of typical levels of involuntary head motions for different age groups. Further, we find that in autism these changes also manifest in non-uniform ways, and that they significantly differ from their age-matched groups. The results suggest that the levels of random involuntary motor noise are elevated in autism across age groups. This calls for the use of different age-appropriate statistical models in research that involves dynamically changing signals self-generated by the nervous systems.
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Affiliation(s)
- Carla Caballero
- Sports Research Center, Sports Sciences Department, Miguel Hernández University of Elche, Elche, Spain.,Department of Psychology, Rutgers, The State University of New Jersey, Piscataway, NJ, United States
| | - Sejal Mistry
- Department of Mathematics, Rutgers, The State University of New Jersey, Piscataway, NJ, United States
| | - Elizabeth B Torres
- Department of Psychology, Rutgers, The State University of New Jersey, Piscataway, NJ, United States.,Computer Science, Center for Computational Biomedicine Imaging and Modeling, Rutgers, The State University of New Jersey, Piscataway, NJ, United States.,Center for Cognitive Science, Rutgers, The State University of New Jersey, Piscataway, NJ, United States
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28
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Beelen C, Phan TV, Wouters J, Ghesquière P, Vandermosten M. Investigating the Added Value of FreeSurfer's Manual Editing Procedure for the Study of the Reading Network in a Pediatric Population. Front Hum Neurosci 2020; 14:143. [PMID: 32390814 PMCID: PMC7194167 DOI: 10.3389/fnhum.2020.00143] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 03/30/2020] [Indexed: 01/08/2023] Open
Abstract
Insights into brain anatomy are important for the early detection of neurodevelopmental disorders, such as dyslexia. FreeSurfer is one of the most frequently applied automatized software tools to study brain morphology. However, quality control of the outcomes provided by FreeSurfer is often ignored and could lead to wrong statistical inferences. Additional manual editing of the data may be a solution, although not without a cost in time and resources. Past research in adults on comparing the automatized method of FreeSurfer with and without additional manual editing indicated that although editing may lead to significant differences in morphological measures between the methods in some regions, it does not substantially change the sensitivity to detect clinical differences. Given that automated approaches are more likely to fail in pediatric-and inherently more noisy-data, we investigated in the current study whether FreeSurfer can be applied fully automatically or additional manual edits of T1-images are needed in a pediatric sample. Specifically, cortical thickness and surface area measures with and without additional manual edits were compared in six regions of interest (ROIs) of the reading network in 5-to-6-year-old children with and without dyslexia. Results revealed that additional editing leads to statistical differences in the morphological measures, but that these differences are consistent across subjects and that the sensitivity to reveal statistical differences in the morphological measures between children with and without dyslexia is not affected, even though conclusions of marginally significant findings can differ depending on the method used. Thereby, our results indicate that additional manual editing of reading-related regions in FreeSurfer has limited gain for pediatric samples.
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Affiliation(s)
- Caroline Beelen
- Parenting and Special Education Research Unit, Faculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium
| | | | - Jan Wouters
- Research Group ExpORL, Department of Neuroscience, KU Leuven, Leuven, Belgium
| | - Pol Ghesquière
- Parenting and Special Education Research Unit, Faculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium
| | - Maaike Vandermosten
- Research Group ExpORL, Department of Neuroscience, KU Leuven, Leuven, Belgium
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29
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Aspects sensorimoteurs et motricité manuelle dans les troubles du spectre autistique : une revue de la littérature. Encephale 2020; 46:135-145. [DOI: 10.1016/j.encep.2019.11.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 10/27/2019] [Accepted: 11/15/2019] [Indexed: 01/11/2023]
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30
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Serdarevic F, Tiemeier H, Jansen PR, Alemany S, Xerxa Y, Neumann A, Robinson E, Hillegers MHJ, Verhulst FC, Ghassabian A. Polygenic Risk Scores for Developmental Disorders, Neuromotor Functioning During Infancy, and Autistic Traits in Childhood. Biol Psychiatry 2020; 87:132-138. [PMID: 31629460 DOI: 10.1016/j.biopsych.2019.06.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 05/03/2019] [Accepted: 06/03/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND Impaired neuromotor development is often one of the earliest observations in children with autism spectrum disorder (ASD). We investigated whether a genetic predisposition to developmental disorders was associated with nonoptimal neuromotor development during infancy and examined the genetic correlation between nonoptimal neuromotor development and autistic traits in the general population. METHODS In a population-based cohort in The Netherlands (2002-2006), we calculated polygenic risk scores (PRSs) for ASD and attention-deficit/hyperactivity disorder (ADHD) using genome-wide association study summary statistics. In 1921 children with genetic data, parents rated autistic traits at 6 years of age. Among them, 1174 children (61.1%) underwent neuromotor examinations (tone, responses, senses, and other observations) during infancy (9-20 weeks of age). We used linear regressions to examine associations of PRSs with neuromotor scores and autistic traits. We performed a bivariate genome-based restricted maximum likelihood analysis to explore whether genetic susceptibility underlies the association between neuromotor development and autistic traits. RESULTS Higher PRSs for ASD were associated with less optimal overall infant neuromotor development, in particular low muscle tone. Higher PRSs for ADHD were associated with less optimal senses. PRSs for ASD and those for ADHD both were associated with autistic traits. The single nucleotide polymorphism-based heritability of overall motor development was 20% (SE = .21) and of autistic traits was 68% (SE = .26). The genetic correlation between overall motor development and autistic traits was .35 (SE = .21, p < .001). CONCLUSIONS We found that genetic liabilities for ASD and ADHD covary with neuromotor development during infancy. Shared genetic liability might partly explain the association between nonoptimal neuromotor development during infancy and autistic traits in childhood.
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Affiliation(s)
- Fadila Serdarevic
- Generation R Study Group, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands; Department of Child and Adolescent Psychiatry, Erasmus Medical Center-Sophia Children's Hospital Rotterdam, Rotterdam, The Netherlands; Department of Pediatrics, New York University School of Medicine, New York, New York
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center-Sophia Children's Hospital Rotterdam, Rotterdam, The Netherlands; Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
| | - Philip R Jansen
- Generation R Study Group, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands; Department of Child and Adolescent Psychiatry, Erasmus Medical Center-Sophia Children's Hospital Rotterdam, Rotterdam, The Netherlands; Department of Complex Trait Genetics, Center for Neuroscience and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Silvia Alemany
- Barcelona Institute for Global Health, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Yllza Xerxa
- Generation R Study Group, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands; Department of Child and Adolescent Psychiatry, Erasmus Medical Center-Sophia Children's Hospital Rotterdam, Rotterdam, The Netherlands
| | - Alexander Neumann
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center-Sophia Children's Hospital Rotterdam, Rotterdam, The Netherlands
| | - Elise Robinson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Manon H J Hillegers
- Generation R Study Group, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Frank C Verhulst
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center-Sophia Children's Hospital Rotterdam, Rotterdam, The Netherlands
| | - Akhgar Ghassabian
- Department of Pediatrics, New York University School of Medicine, New York, New York; Department of Population Health, New York University School of Medicine, New York, New York; Department of Environmental Medicine, New York University School of Medicine, New York, New York
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31
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Colombo-Dougovito AM, Block ME, Zhang X, Strehli I. A multiple-method review of accommodations to gross motor assessments commonly used with children and adolescents on the autism spectrum. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2019; 24:693-706. [PMID: 31747776 DOI: 10.1177/1362361319884400] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The purpose of this study is to understand the common accommodations used during standardized motor assessment of children on the autism spectrum. This study was completed in three parts: (1) a narrative review of the literature; (2) an open-ended survey sent to the first authors of the identified articles; and (3) a descriptive analysis of responses. Results revealed that 56.7% of the identified articles did not report enough information of assessment procedures, 18.9% followed the assessment manual, 16.9% provided accommodations on a needs basis, and 7.5% used a consistent modified protocol. Individual responses showed that extra demonstrations (n = 5) were the most frequent accommodation, followed by extra breaks (n = 3), picture cards (n = 2), and hand-over-hand assistance (n = 1); some respondents stated that they did not provide accommodations. The findings indicate that a clear set of accommodation for motor skill assessments does not exist, though some commonalities were reported. Further research is necessary to understand the impact of accommodations in the assessment process, as well as which accommodations are needed and/or effective.
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32
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Mahmoodifar E, Sotoodeh MS. Combined Transcranial Direct Current Stimulation and Selective Motor Training Enhances Balance in Children With Autism Spectrum Disorder. Percept Mot Skills 2019; 127:113-125. [DOI: 10.1177/0031512519888072] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Previous studies have shown that transcranial direct current stimulation (tDCS) over the primary motor cortex (M1) can facilitate the consolidation of motor skills in people who are typically developed, especially when tDCS is combined with goal-oriented exercises. Yet, the effect of tDCS on the motor skills of children with autism spectrum disorder is unknown. This study sought to investigate the effects of combined anodal tDCS and selective motor training on balance among 18 children with autism spectrum disorder (aged 6–14 years) who we randomly assigned to equal-sized experimental and control groups. The experimental group practiced motor training to improve balance after receiving 1.5 mA anodal tDCS over the left M1 for 20 minutes before each of 10 motor training sessions. The control (sham) group underwent a similar protocol with identical motor training, but tDCS was only artificially administered to them. We evaluated participants’ balance at baseline and after training. Data analysis showed that both anodal tDCS plus motor skill training and motor skill training with sham tDCS had significant positive impacts on balance, but tDCS participants who received both actual tDCS and motor skill training performed significantly better than those who received SHAM tDCS and motor skill training. These preliminary findings suggest that tDCS may enhance motor skill training for children with autism spectrum disorder, but replications with larger samples involving participants with varying levels of autistic symptoms and varied tDCS stimulation polarity are needed to affirm the practical use of this noninvasive brain stimulation.
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Affiliation(s)
- Elham Mahmoodifar
- Department of physical education, Mobarakeh Branch, Islamic Azad University, Mobarakeh, Isfahan, Iran
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33
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Hillus J, Moseley R, Roepke S, Mohr B. Action Semantic Deficits and Impaired Motor Skills in Autistic Adults Without Intellectual Impairment. Front Hum Neurosci 2019; 13:256. [PMID: 31404247 PMCID: PMC6669914 DOI: 10.3389/fnhum.2019.00256] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Accepted: 07/09/2019] [Indexed: 11/23/2022] Open
Abstract
Several studies indicate the functional importance of the motor cortex for higher cognition, language and semantic processing, and place the neural substrate of these processes in sensorimotor action-perception circuits linking motor, sensory and perisylvian language regions. Interestingly, in individuals with autism spectrum disorder (ASD), semantic processing of action and emotion words seems to be impaired and is associated with hypoactivity of the motor cortex during semantic processing. In this study, the relationship between semantic processing, fine motor skills and clinical symptoms was investigated in 19 individuals with ASD and 22 typically-developing matched controls. Participants completed two semantic decision tasks involving words from different semantic categories, a test of alexithymia (the Toronto Alexithymia Scale), and a test of fine motor skills (the Purdue Pegboard Test). A significant Group × Word Category interaction in accuracy (p < 0.05) demonstrated impaired semantic processing for action words, but not object words in the autistic group. There was no significant group difference when processing abstract emotional words or abstract neutral words. Moreover, our study revealed deficits in fine motor skills as well as evidence for alexithymia in the ASD group, but not in neurotypical controls. However, these motor deficits did not correlate significantly with impairments in action-semantic processing. We interpret the data in terms of an underlying dysfunction of the action-perception system in ASD and its specific impact on semantic language processing.
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Affiliation(s)
- Josephina Hillus
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin, Campus Benjamin Franklin, Berlin, Germany
| | - Rachel Moseley
- Department of Psychology, Bournemouth University, Poole, United Kingdom
| | - Stefan Roepke
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin, Campus Benjamin Franklin, Berlin, Germany
| | - Bettina Mohr
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin, Campus Benjamin Franklin, Berlin, Germany
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Functional and structural asymmetry in primary motor cortex in Asperger syndrome: a navigated TMS and imaging study. Brain Topogr 2019; 32:504-518. [PMID: 30949863 PMCID: PMC6477009 DOI: 10.1007/s10548-019-00704-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Accepted: 03/25/2019] [Indexed: 12/27/2022]
Abstract
Motor functions are frequently impaired in Asperger syndrome (AS). In this study, we examined the motor cortex structure and function using navigated transcranial magnetic stimulation (nTMS) and voxel-based morphometry (VBM) and correlated the results with the box and block test (BBT) of manual dexterity and physical activity in eight boys with AS, aged 8–11 years, and their matched controls. With nTMS, we found less focused cortical representation areas of distinct hand muscles in AS. There was hemispheric asymmetry in the motor maps, silent period duration and active MEP latency in the AS group, but not in controls. Exploratory VBM analysis revealed less gray matter in the left postcentral gyrus, especially in the face area, and less white matter in the precentral area in AS as compared to controls. On the contrary, in the right leg area, subjects with AS displayed an increased density of gray matter. The structural findings of the left hemisphere correlated negatively with BBT score in controls, whereas the structure of the right hemisphere in the AS group correlated positively with motor function as assessed by BBT. These preliminary functional (neurophysiological and behavioral) findings are indicative of asymmetry, and co-existing structural alterations may reflect the motor impairments causing the deteriorations in manual dexterity and other motor functions commonly encountered in children with AS.
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Kilroy E, Cermak SA, Aziz-Zadeh L. A Review of Functional and Structural Neurobiology of the Action Observation Network in Autism Spectrum Disorder and Developmental Coordination Disorder. Brain Sci 2019; 9:E75. [PMID: 30925819 PMCID: PMC6523237 DOI: 10.3390/brainsci9040075] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 03/20/2019] [Accepted: 03/22/2019] [Indexed: 12/20/2022] Open
Abstract
Recent research has reported motor impairment similarities between children with developmental coordination disorder (DCD) and a subgroup of individuals with autism spectrum disorder (ASD). However, there is a debate as to whether DCD is a co-occurring diagnosis in individuals with ASD and motor impairments (ASDd), or if motor impairments in ASD are distinct from DCD. However, the etiology of motor impairments is not well understood in either disorder. Clarifying comorbidities in ASD is important to determine different etiopathological phenotyping clusters in ASD and to understand the variety of genetic and environmental factors that contribute to the disorder. Furthermore, this distinction has important therapeutic relevance. Here we explore the current neuroimaging findings in ASD and DCD and discusses possible neural mechanisms that underlie similarities and differences between the disorders.
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Affiliation(s)
- Emily Kilroy
- Mrs. T.H. Chan Division of Occupational Science and Occupational Therapy, University Southern California, Los Angeles, CA 90089, USA.
- Brain and Creativity Institute, University Southern California, Los Angeles, CA 90089, USA.
| | - Sharon A Cermak
- Mrs. T.H. Chan Division of Occupational Science and Occupational Therapy, University Southern California, Los Angeles, CA 90089, USA.
| | - Lisa Aziz-Zadeh
- Mrs. T.H. Chan Division of Occupational Science and Occupational Therapy, University Southern California, Los Angeles, CA 90089, USA.
- Brain and Creativity Institute, University Southern California, Los Angeles, CA 90089, USA.
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36
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Lin CW, Lin HY, Lo YC, Chen YJ, Hsu YC, Chen YL, Tseng WYI, Gau SSF. Alterations in white matter microstructure and regional volume are related to motor functions in boys with autism spectrum disorder. Prog Neuropsychopharmacol Biol Psychiatry 2019; 90:76-83. [PMID: 30452942 DOI: 10.1016/j.pnpbp.2018.11.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 11/01/2018] [Accepted: 11/15/2018] [Indexed: 10/27/2022]
Abstract
BACKGROUND Altered inter-regional structural connectivity related to higher cognitive functions has been commonly reported in individuals with autism spectrum disorder (ASD). However, whether these alterations similarly involve cortico-cerebellar motor circuitries remains largely elusive. METHODS Using a cross-modality approach accounting for in-scanner motion levels, we investigated white matter (WM) properties in motor circuits of 55 boys with ASD (aged 8-18 years) and 68 age-matched typically developing boys. Regional WM volumes in the primary motor, supplementary motor, somatosensory, and cerebellar areas were investigated using voxel-based morphometry. Diffusion spectrum imaging tractography was used to estimate WM integrity of the corticospinal, cortico-ponto-cerebellar (including fronto-ponto-cerebellar and parieto-ponto-cerebellar), and dentato-rubro-thalamo-cortical tracts. The reaction time test in the Cambridge Neuropsychological Test Automated Battery was used to assess motor performances. RESULTS Boys with ASD had shorter movement time, increased WM volumes in the left somatosensory area, but decreased generalized fractional anisotropy value in the left parieto-ponto-cerebellar tract, compared to controls. A positive correlation between movement time and microstructural properties of the left parieto-ponto-cerebellar tract was found in boys with ASD. CONCLUSIONS As the first study to demonstrate altered WM properties in the left somatosensory area, and its descending pathway connecting to the cerebellum in ASD, current results may highlight a potential new target of interventions for motor performance in ASD.
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Affiliation(s)
- Chia-Wei Lin
- Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu, Taiwan
| | - Hsiang-Yuan Lin
- Department of Psychiatry, National Taiwan University Hospital, and College of Medicine, Taipei, Taiwan
| | - Yu-Chun Lo
- Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yu-Jen Chen
- Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yung-Chin Hsu
- Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yi-Lung Chen
- Department of Psychiatry, National Taiwan University Hospital, and College of Medicine, Taipei, Taiwan; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan
| | - Wen-Yih Isaac Tseng
- Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan; Graduate Institute of Brain and Mind Sciences, National Taiwan University, Taipei, Taiwan.
| | - Susan Shur-Fen Gau
- Department of Psychiatry, National Taiwan University Hospital, and College of Medicine, Taipei, Taiwan; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan; Graduate Institute of Brain and Mind Sciences, National Taiwan University, Taipei, Taiwan.
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London EB. Neuromodulation and a Reconceptualization of Autism Spectrum Disorders: Using the Locus Coeruleus Functioning as an Exemplar. Front Neurol 2018; 9:1120. [PMID: 30619071 PMCID: PMC6305710 DOI: 10.3389/fneur.2018.01120] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Accepted: 12/06/2018] [Indexed: 12/27/2022] Open
Abstract
The Autism Spectrum Disorders (ASD) are a heterogeneous group of developmental disorders. Although, ASD can be reliably diagnosed, the etiology, pathophysiology, and treatment targets remain poorly characterized. While there are many atypical findings in anatomy, genetics, connectivity, and other biologic parameters, there remains no discreet hypothesis to explain the core signs as well as the very frequent comorbidities. Due to this, designing targets for treatments can only be done by assuming each symptom is a result of a discreet abnormality which is likely not the case. Neuronal circuity remains a major focus of research but rarely taking into account the functioning of the brain is highly dependent on various systems, including the neuromodulatory substances originating in the midbrain. A hypothesis is presented which explores the possibility of explaining many of the symptoms found in ASD in terms of inefficient neuromodulation using the functioning of the locus coeruleus and norepinephrine (LC/NE) as exemplars. The basic science of LC/NE is reviewed. Several functions found to be impaired in ASD including learning, attention, sensory processing, emotional regulation, autonomic functioning, adaptive and repetitive behaviors, sleep, language acquisition, initiation, and prompt dependency are examined in terms of the functioning of the LC/NE system. Suggestions about possible treatment directions are explored.
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Affiliation(s)
- Eric B. London
- Institute for Basic Research in Developmental Disabilities, Staten Island, NY, United States
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Hirjak D, Meyer-Lindenberg A, Fritze S, Sambataro F, Kubera KM, Wolf RC. Motor dysfunction as research domain across bipolar, obsessive-compulsive and neurodevelopmental disorders. Neurosci Biobehav Rev 2018; 95:315-335. [PMID: 30236781 DOI: 10.1016/j.neubiorev.2018.09.009] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2018] [Revised: 08/08/2018] [Accepted: 09/12/2018] [Indexed: 02/07/2023]
Abstract
Although genuine motor abnormalities (GMA) are frequently found in schizophrenia, they are also considered as an intrinsic feature of bipolar, obsessive-compulsive, and neurodevelopmental disorders with early onset such as autism, ADHD, and Tourette syndrome. Such transnosological observations strongly suggest a common neural pathophysiology. This systematic review highlights the evidence on GMA and their neuroanatomical substrates in bipolar, obsessive-compulsive, and neurodevelopmental disorders. The data lends support for a common pattern contributing to GMA expression in these diseases that seems to be related to cerebello-thalamo-cortical, fronto-parietal, and cortico-subcortical motor circuit dysfunction. The identified studies provide first evidence for a motor network dysfunction as a correlate of early neurodevelopmental deviance prior to clinical symptom expression. There are also first hints for a developmental risk factor model of these mental disorders. An in-depth analysis of motor networks and related patho-(physiological) mechanisms will not only help promoting Research Domain Criteria (RDoC) Motor System construct, but also facilitate the development of novel psychopharmacological models, as well as the identification of neurobiologically plausible target sites for non-invasive brain stimulation.
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Affiliation(s)
- Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stefan Fritze
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Robert C Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
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A systematic review of structural MRI biomarkers in autism spectrum disorder: A machine learning perspective. Int J Dev Neurosci 2018; 71:68-82. [DOI: 10.1016/j.ijdevneu.2018.08.010] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Revised: 08/28/2018] [Accepted: 08/28/2018] [Indexed: 11/19/2022] Open
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Abstract
A recent generation of family studies has revealed that autism can be predicted from an array of neurobehavioural susceptibilities that are appreciable before the syndrome is diagnosed, and that each may be traceable to partially-independent sets of genetic variation. Some of these liabilities are not necessarily specific to ASD-those that are non-specific could account for a significant share of the 'missing heritability' of autism, would (by definition) contribute to pleiotropy, and relate to so-called 'co-morbidities', which are inappropriately named if they actually contribute to (or exacerbate) the severity of autism itself. Linking genetic variants to these underlying traits rather than to a diagnosis of 'autism' may be more productive in devising personalized approaches to developmental intervention, especially if autism represents an epiphenomenon of earlier-interacting susceptibilities. In this article, the implications of conceptualizing autism as a syndrome of neurobehavioural degeneration is considered, predicated on the notion that it can arise from a critical co-aggregation of earlier-interacting neuropsychiatric liabilities, the phenotypic expression of which-importantly-can be moderated by sex.
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Affiliation(s)
- John N. Constantino
- Departments of Psychiatry and Pediatrics, Washington University School of Medicine, St Louis, MO, USA
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41
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Nickel K, Tebartz van Elst L, Manko J, Unterrainer J, Rauh R, Klein C, Endres D, Kaller CP, Mader I, Riedel A, Biscaldi M, Maier S. Inferior Frontal Gyrus Volume Loss Distinguishes Between Autism and (Comorbid) Attention-Deficit/Hyperactivity Disorder-A FreeSurfer Analysis in Children. Front Psychiatry 2018; 9:521. [PMID: 30405459 PMCID: PMC6206215 DOI: 10.3389/fpsyt.2018.00521] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 10/02/2018] [Indexed: 01/23/2023] Open
Abstract
Objective: Autism spectrum (ASD) and attention-deficit/hyperactivity disorder (ADHD) are neurodevelopmental disorders with a high rate of comorbidity. To date, diagnosis is based on clinical presentation and distinct reliable biomarkers have been identified neither for ASD nor ADHD. Most previous neuroimaging studies investigated ASD and ADHD separately. Method: To address the question of structural brain differences between ASD and ADHD, we performed FreeSurfer analysis in a sample of children with ADHD (n = 30), with high-functioning ASD (n = 14), with comorbid high-functioning ASD and ADHD (n = 15), and of typically developed controls (TD; n = 36). With FreeSurfer, an automated brain imaging processing and analyzing suite, we reconstructed the cerebral cortex and calculated gray matter volumes as well as cortical surface parameters in terms of cortical thickness and mean curvature. Results: A significant main effect of the factor ADHD was detected for the left inferior frontal gyrus (Pars orbitalis) volume, with the ADHD group exhibiting smaller Pars orbitalis volumes. Dimensional measures of autism (SRS total raw score) and ADHD (DISYPS-II FBB-ADHD score) had no significant influence on the left Pars orbitalis volume. Both, ASD and ADHD tended to have an effect on cortical thickness or mean curvature, which did not survive correction for multiple comparisons. Conclusion: Our results underline that ADHD rather than ASD is associated with volume loss in the left inferior frontal gyrus (Pars orbitalis). This area might play a relevant role in modulating symptoms of inattention and/or impulsivity in ADHD. The effect of comorbid ADHD in ASD samples and vice versa, on cortical thickness and mean curvature, requires further investigation in larger samples.
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Affiliation(s)
- Kathrin Nickel
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
| | - Ludger Tebartz van Elst
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
| | - Jacek Manko
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
| | - Josef Unterrainer
- Medical Psychology and Medical Sociology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Reinhold Rauh
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
| | - Christoph Klein
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
| | - Dominique Endres
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
| | - Christoph P Kaller
- Department of Neurology, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
| | - Irina Mader
- Department of Neuroradiology, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
| | - Andreas Riedel
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
| | - Monica Biscaldi
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
| | - Simon Maier
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
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Kaur M, M Srinivasan S, N Bhat A. Comparing motor performance, praxis, coordination, and interpersonal synchrony between children with and without Autism Spectrum Disorder (ASD). RESEARCH IN DEVELOPMENTAL DISABILITIES 2018; 72:79-95. [PMID: 29121516 PMCID: PMC5743591 DOI: 10.1016/j.ridd.2017.10.025] [Citation(s) in RCA: 118] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Revised: 10/30/2017] [Accepted: 10/30/2017] [Indexed: 05/19/2023]
Abstract
Children with Autism Spectrum Disorder (ASD) have basic motor impairments in balance, gait, and coordination as well as autism-specific impairments in praxis/motor planning and interpersonal synchrony. Majority of the current literature focuses on isolated motor behaviors or domains. Additionally, the relationship between cognition, symptom severity, and motor performance in ASD is unclear. We used a comprehensive set of measures to compare gross and fine motor, praxis/imitation, motor coordination, and interpersonal synchrony skills across three groups of children between 5 and 12 years of age: children with ASD with high IQ (HASD), children with ASD with low IQ (LASD), and typically developing (TD) children. We used the Bruininks-Oseretsky Test of Motor Proficiency and the Bilateral Motor Coordination subtest of the Sensory Integration and Praxis Tests to assess motor performance and praxis skills respectively. Children were also examined while performing simple and complex rhythmic upper and lower limb actions on their own (solo context) and with a social partner (social context). Both ASD groups had lower gross and fine motor scores, greater praxis errors in total and within various error types, lower movement rates, greater movement variability, and weaker interpersonal synchrony compared to the TD group. In addition, the LASD group had lower gross motor scores and greater mirroring errors compared to the HASD group. Overall, a variety of motor impairments are present across the entire spectrum of children with ASD, regardless of their IQ scores. Both, fine and gross motor performance significantly correlated with IQ but not with autism severity; however, praxis errors (mainly, total, overflow, and rhythmicity) strongly correlated with autism severity and not IQ. Our study findings highlight the need for clinicians and therapists to include motor evaluations and interventions in the standard-of-care of children with ASD and for the broader autism community to recognize dyspraxia as an integral part of the definition of ASD.
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Affiliation(s)
- Maninderjit Kaur
- Physical Therapy Department & The Biomechanics & Movement Science Program, University of Delaware, Newark, DE 19713, USA
| | - Sudha M Srinivasan
- Physical Therapy Department & The Biomechanics & Movement Science Program, University of Delaware, Newark, DE 19713, USA
| | - Anjana N Bhat
- Physical Therapy Department & The Biomechanics & Movement Science Program, University of Delaware, Newark, DE 19713, USA; Physical Therapy Program, Department of Kinesiology, University of Connecticut, Storrs, CT 06269, USA; Institute for Collaboration on Health, Intervention, and Policy, University of Connecticut, Storrs, CT 06269, USA.
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43
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Mous SE, Jiang A, Agrawal A, Constantino JN. Attention and motor deficits index non-specific background liabilities that predict autism recurrence in siblings. J Neurodev Disord 2017; 9:32. [PMID: 28870164 PMCID: PMC5583755 DOI: 10.1186/s11689-017-9212-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Accepted: 07/24/2017] [Indexed: 11/10/2022] Open
Abstract
Background Recent research has demonstrated that subclinical autistic traits of parents amplify the effects of deleterious mutations in the causation of autism spectrum disorder (ASD) in their offspring. Here, we examined the extent to which two neurodevelopmental traits that are non-specific to ASD—inattention/hyperactivity and motor coordination—might contribute to ASD recurrence in siblings of ASD probands. Methods Data from a quantitative trait study of 114 ASD probands and their brothers, 26% of whom also had ASD, were analyzed. Autistic trait severity was ascertained using the Social Responsiveness Scale-2, attention/hyperactivity problems using the Achenbach System of Empirically Based Assessment, and motor coordination (in a subset of participants) using the Developmental Coordination Disorder Questionnaire. Results Among siblings (affected and unaffected), both categorical recurrence of ASD (Nagelkerke R2 = 0.53) and quantitative ASD trait burden (R2 = 0.55) were predicted by sibling ADHD and motor coordination impairment scores, even though these traits, on average, were not elevated among the unaffected siblings. Conclusions These findings in a clinical family cohort confirm observations from general population studies that inattention/hyperactivity and motor impairment—axes of behavioral development that are non-specific to ASD, and often appreciable before ASD is typically diagnosed—jointly account for over 50% of the variation in autistic impairment of siblings, whether ascertained quantitatively or categorically. This finding within a sibling design suggests that background ASD susceptibilities that are inherited but non-specific (“BASINS”) may contribute to additive genetic liability in the same manner that ASD-specific susceptibilities (such as parental subclinical ASD traits and deleterious mutations) engender ASD risk. Electronic supplementary material The online version of this article (doi:10.1186/s11689-017-9212-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Sabine E Mous
- Department of Child and Adolescent Psychiatry/Psychology, Sophia Children's Hospital, Erasmus Medical Center, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands.,Division of Child Psychiatry, Department of Psychiatry, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8504, St Louis, MO, 63110, USA
| | - Allan Jiang
- Division of Child Psychiatry, Department of Psychiatry, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8504, St Louis, MO, 63110, USA
| | - Arpana Agrawal
- Division of Child Psychiatry, Department of Psychiatry, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8504, St Louis, MO, 63110, USA
| | - John N Constantino
- Division of Child Psychiatry, Department of Psychiatry, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8504, St Louis, MO, 63110, USA.
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What is the Nature of Motor Impairments in Autism, Are They Diagnostically Useful, and What Are the Implications for Intervention? CURRENT DEVELOPMENTAL DISORDERS REPORTS 2017. [DOI: 10.1007/s40474-017-0109-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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45
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Thompson A, Murphy D, Dell’Acqua F, Ecker C, McAlonan G, Howells H, Baron-Cohen S, Lai MC, Lombardo MV. Impaired Communication Between the Motor and Somatosensory Homunculus Is Associated With Poor Manual Dexterity in Autism Spectrum Disorder. Biol Psychiatry 2017; 81:211-219. [PMID: 27639500 PMCID: PMC5227100 DOI: 10.1016/j.biopsych.2016.06.020] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2016] [Revised: 06/27/2016] [Accepted: 06/27/2016] [Indexed: 02/07/2023]
Abstract
BACKGROUND Fine motor skill impairments are common in autism spectrum disorder (ASD), significantly affecting quality of life. Sensory inputs reaching the primary motor cortex (M1) from the somatosensory cortex (S1) are likely involved in fine motor skill and specifically motor learning. However, the role of these connections has not been directly investigated in humans. This study aimed to investigate, for the first time, the role of the S1-M1 connections in healthy subjects in vivo and whether microstructural alterations are associated with motor impairment in ASD. METHODS Sixty right-handed neurotypical adult men aged 18 to 45 years, and 60 right-handed age- and sex-matched subjects diagnosed with ASD underwent fine motor skill assessment and scanning with diffusion tensor imaging (DTI). The streamlines of the hand region connecting S1-M1 of the motor-sensory homunculus were virtually dissected using TrackVis, and diffusion properties were extracted. The face/tongue region connections were used as control tracts. RESULTS The ASD group displayed lower motor performances and altered DTI measurements of the hand-region connection. Behavioral performance correlated with hand-region DTI measures in both groups, but not with the face/tongue connections, indicating anatomical specificity. There was a left-hemisphere association of motor ability in the control group and an atypical rightward shift in the ASD group. CONCLUSIONS These findings suggest that direct interaction between S1 and M1 may contribute to the human ability to precisely interact with and manipulate the environment. Because electrophysiological evidence indicates that these connections may underpin long-term potentiation in M1, our findings may lead to novel therapeutic treatments for motor skill disorders.
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Affiliation(s)
- Abigail Thompson
- NatBrainLab, Department of Forensic, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London.
| | - Declan Murphy
- Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London
| | - Flavio Dell’Acqua
- Department of Neuroimaging, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London
| | - Christine Ecker
- Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London
| | - Grainne McAlonan
- Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London
| | - Henrietta Howells
- NatBrainLab, Department of Forensic, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London
| | - Simon Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Meng-Chuan Lai
- NatBrainLab, Department of Forensic, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London,Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom,Child and Youth Mental Health Collaborative at the Centre for Addiction and Mental Health and The Hospital for Sick Children, and Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada,Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Michael V. Lombardo
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom,Department of Psychology and, University of Cyprus, Nicosia, Cyprus,Center for Applied Neuroscience, University of Cyprus, Nicosia, Cyprus
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Cook J. From movement kinematics to social cognition: the case of autism. Philos Trans R Soc Lond B Biol Sci 2016; 371:rstb.2015.0372. [PMID: 27069049 DOI: 10.1098/rstb.2015.0372] [Citation(s) in RCA: 78] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/27/2016] [Indexed: 11/12/2022] Open
Abstract
The way in which we move influences our ability to perceive, interpret and predict the actions of others. Thus movements play an important role in social cognition. This review article will appraise the literature concerning movement kinematics and motor control in individuals with autism, and will argue that movement differences between typical and autistic individuals may contribute to bilateral difficulties in reciprocal social cognition.
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Affiliation(s)
- Jennifer Cook
- School of Psychology, University of Birmingham, Edgbaston, Birmingham, UK
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Chiang HL, Chen YJ, Lin HY, Tseng WYI, Gau SSF. Disorder-Specific Alteration in White Matter Structural Property in Adults With Autism Spectrum Disorder Relative to Adults With ADHD and Adult Controls. Hum Brain Mapp 2016; 38:384-395. [PMID: 27630075 DOI: 10.1002/hbm.23367] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2015] [Revised: 05/10/2016] [Accepted: 08/24/2016] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVE Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) are not only often comorbid but also overlapped in behavioral and cognitive abnormalities. Little is known about whether these shared phenotypes are based on common or different underlying neuropathologies. Therefore, this study aims to examine the disorder-specific alterations in white matter (WM) structural property. METHOD The three comparison groups included 23 male adults with ASD (21.4 ± 3.1 years), 32 male adults with ADHD (23.4 ± 3.3 years), and 29 age-matched healthy male controls (22.4 ± 3.3 years). After acquisition of the diffusion spectrum imaging (DSI), whole brain tractography was reconstructed by a tract-based automatic analysis. Generalized fractional anisotropy (GFA) values were computed to indicate tract-specific WM property with adjusted P value < 0.05 for false discovery rate correction. RESULTS Post hoc analyses revealed that men with ASD exhibited significant lower GFA values than men with ADHD and male controls in six identified fiber tracts: the right arcuate fasciculus, right cingulum (hippocampal part), anterior commissure, and three callosal fibers (ventrolateral prefrontal cortex part, precentral part, superior temporal part). There was no significant difference in the GFA values of any of the fiber tracts between men with ADHD and controls. In men with ASD, the GFA values of the right arcuate fasciculus and right cingulum (hippocampal part) were negatively associated with autistic social-deficit symptoms, and the anterior commissure GFA value was positively correlated with intelligence. CONCLUSIONS This study highlights the disorder-specific alteration of the microstructural property of WM tracts in male adults with ASD. Hum Brain Mapp 38:384-395, 2017. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Huey-Ling Chiang
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.,Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.,Department of Psychiatry, Far Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Yu-Jen Chen
- Institute of Medical Device and Imaging, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Hsiang-Yuan Lin
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Wen-Yih Isaac Tseng
- Institute of Medical Device and Imaging, College of Medicine, National Taiwan University, Taipei, Taiwan.,Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan.,Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan
| | - Susan Shur-Fen Gau
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.,Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.,Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan
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Floris DL, Barber AD, Nebel MB, Martinelli M, Lai MC, Crocetti D, Baron-Cohen S, Suckling J, Pekar JJ, Mostofsky SH. Atypical lateralization of motor circuit functional connectivity in children with autism is associated with motor deficits. Mol Autism 2016; 7:35. [PMID: 27429731 PMCID: PMC4946094 DOI: 10.1186/s13229-016-0096-6] [Citation(s) in RCA: 88] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2015] [Accepted: 06/28/2016] [Indexed: 12/27/2022] Open
Abstract
Background Atypical lateralization of language-related functions has been repeatedly found in individuals with autism spectrum conditions (ASC). Few studies have, however, investigated deviations from typically occurring asymmetry of other lateralized cognitive and behavioural domains. Motor deficits are among the earliest and most prominent symptoms in individuals with ASC and precede core social and communicative symptoms. Methods Here, we investigate whether motor circuit connectivity is (1) atypically lateralized in children with ASC and (2) whether this relates to core autistic symptoms and motor performance. Participants comprised 44 right-handed high-functioning children with autism (36 males, 8 females) and 80 typically developing control children (58 males, 22 females) matched on age, sex and performance IQ. We examined lateralization of functional motor circuit connectivity based on homotopic seeds derived from peak activations during a finger tapping paradigm. Motor performance was assessed using the Physical and Neurological Examination for Subtle Signs (PANESS). Results Children with ASC showed rightward lateralization in mean motor circuit connectivity compared to typically developing children, and this was associated with poorer performance on all three PANESS measures. Conclusions Our findings reveal that atypical lateralization in ASC is not restricted to language functions but is also present in circuits subserving motor functions and may underlie motor deficits in children with ASC. Future studies should investigate whether this is an age-invariant finding extending to adolescents and adults and whether these asymmetries relate to atypical lateralization in the language domain. Electronic supplementary material The online version of this article (doi:10.1186/s13229-016-0096-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Dorothea L Floris
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK ; Department of Child and Adolescent Psychiatry, the Child Study Center, New York University Langone Medical Center, New York, NY USA
| | - Anita D Barber
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD USA ; Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD USA ; Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD USA
| | - Mary Beth Nebel
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD USA ; Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD USA ; Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD USA
| | - Mary Martinelli
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD USA ; Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD USA ; Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD USA
| | - Meng-Chuan Lai
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK ; Child, Youth and Family Services, Centre for Addiction and Mental Health and Department of Psychiatry, University of Toronto, Toronto, Canada ; Department of Psychiatry, College of Medicine, National Taiwan University Hospital, Taipei City, Taiwan
| | - Deana Crocetti
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD USA ; Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD USA ; Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD USA
| | - Simon Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK ; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK ; National Institute of Health Research, Cambridge Biomedical Research Centre, Cambridge, UK ; Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - John Suckling
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK ; National Institute of Health Research, Cambridge Biomedical Research Centre, Cambridge, UK ; Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK ; Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - James J Pekar
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, USA ; Department of Radiology, Johns Hopkins School of Medicine, Baltimore, USA
| | - Stewart H Mostofsky
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD USA ; Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD USA ; Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD USA
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Supekar K, Menon V. Sex differences in structural organization of motor systems and their dissociable links with repetitive/restricted behaviors in children with autism. Mol Autism 2015; 6:50. [PMID: 26347127 PMCID: PMC4559968 DOI: 10.1186/s13229-015-0042-z] [Citation(s) in RCA: 76] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Accepted: 08/17/2015] [Indexed: 12/03/2022] Open
Abstract
Background Autism spectrum disorder (ASD) is diagnosed much less often in females than males. Emerging behavioral accounts suggest that the clinical presentation of autism is different in females and males, yet research examining sex differences in core symptoms of autism in affected children has been limited. Additionally, to date, there have been no systematic attempts to characterize neuroanatomical differences underlying the distinct behavioral profiles observed in girls and boys with ASD. This is in part because extant ASD studies have included a small number of girls. Methods Leveraging the National Database for Autism Research (NDAR), we first analyzed symptom severity in a large sample consisting of 128 ASD girls and 614 age- and IQ-matched ASD boys. We then examined symptom severity and structural imaging data using novel multivariate pattern analysis in a well-matched group of 25 ASD girls, 25 ASD boys, 19 typically developing (TD) girls, and 19 TD boys, obtained from the Autism Brain Imaging Data Exchange (ABIDE). Results In both the NDAR and ABIDE datasets, girls, compared to boys, with ASD showed less severe repetitive/restricted behaviors (RRBs) and comparable deficits in the social and communication domains. In the ABIDE imaging dataset, gray matter (GM) patterns in the motor cortex, supplementary motor area (SMA), cerebellum, fusiform gyrus, and amygdala accurately discriminated girls and boys with ASD. This sex difference pattern was specific to ASD as the GM in these brain regions did not discriminate TD girls and boys. Moreover, GM in the motor cortex, SMA, and crus 1 subdivision of the cerebellum was correlated with RRB in girls whereas GM in the right putamen—the region that discriminated TD girls and boys—was correlated with RRB in boys. Conclusions We found robust evidence for reduced levels of RRB in girls, compared to boys, with ASD, providing the strongest evidence to date for sex differences in a core phenotypic feature of childhood ASD. Sex differences in brain morphometry are prominent in the motor system and in areas that comprise the “social brain.” Notably, RRB severity is associated with sex differences in GM morphometry in distinct motor regions. Our findings provide novel insights into the neurobiology of sex differences in childhood autism. Electronic supplementary material The online version of this article (doi:10.1186/s13229-015-0042-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Kaustubh Supekar
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd., Stanford, CA 94304-5719 USA
| | - Vinod Menon
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd., Stanford, CA 94304-5719 USA ; Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94304 USA ; Stanford Neurosciences Institute, Stanford University School of Medicine, Stanford, CA 94304 USA
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