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Zhao S, Lv Q, Zhang G, Zhang J, Wang H, Zhang J, Wang M, Wang Z. Quantitative Expression of Latent Disease Factors in Individuals Associated with Psychopathology Dimensions and Treatment Response. Neurosci Bull 2024:10.1007/s12264-024-01224-z. [PMID: 38842612 DOI: 10.1007/s12264-024-01224-z] [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: 08/16/2023] [Accepted: 01/02/2024] [Indexed: 06/07/2024] Open
Abstract
Psychiatric comorbidity is common in symptom-based diagnoses like autism spectrum disorder (ASD), attention/deficit hyper-activity disorder (ADHD), and obsessive-compulsive disorder (OCD). However, these co-occurring symptoms mediated by shared and/or distinct neural mechanisms are difficult to profile at the individual level. Capitalizing on unsupervised machine learning with a hierarchical Bayesian framework, we derived latent disease factors from resting-state functional connectivity data in a hybrid cohort of ASD and ADHD and delineated individual associations with dimensional symptoms based on canonical correlation analysis. Models based on the same factors generalized to previously unseen individuals in a subclinical cohort and one local OCD database with a subset of patients undergoing neurosurgical intervention. Four factors, identified as variably co-expressed in each patient, were significantly correlated with distinct symptom domains (r = -0.26-0.53, P < 0.05): behavioral regulation (Factor-1), communication (Factor-2), anxiety (Factor-3), adaptive behaviors (Factor-4). Moreover, we demonstrated Factor-1 expressed in patients with OCD and Factor-3 expressed in participants with anxiety, at the degree to which factor expression was significantly predictive of individual symptom scores (r = 0.18-0.5, P < 0.01). Importantly, peri-intervention changes in Factor-1 of OCD were associated with variable treatment outcomes (r = 0.39, P < 0.05). Our results indicate that these data-derived latent disease factors quantify individual factor expression to inform dimensional symptom and treatment outcomes across cohorts, which may promote quantitative psychiatric diagnosis and personalized intervention.
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Affiliation(s)
- Shaoling Zhao
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Chinese Academy of Sciences, Shanghai, 200031, China
- University of Chinese Academy of Sciences, Beijing, 100101, China
| | - Qian Lv
- School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health; IDG/McGovern Institute for Brain Research; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China
| | - Ge Zhang
- Department of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, Zhengzhou, 450003, China
| | - Jiangtao Zhang
- Tongde Hospital of Zhejiang Province (Zhejiang Mental Health Center), Zhejiang Office of Mental Health, Hangzhou, 310012, China
| | - Heqiu Wang
- Tongde Hospital of Zhejiang Province (Zhejiang Mental Health Center), Zhejiang Office of Mental Health, Hangzhou, 310012, China
| | - Jianmin Zhang
- Tongde Hospital of Zhejiang Province (Zhejiang Mental Health Center), Zhejiang Office of Mental Health, Hangzhou, 310012, China
| | - Meiyun Wang
- Department of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, Zhengzhou, 450003, China.
| | - Zheng Wang
- School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health; IDG/McGovern Institute for Brain Research; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.
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Ma X, Zhou W, Zheng H, Ye S, Yang B, Wang L, Wang M, Dong GH. Connectome-based prediction of the severity of autism spectrum disorder. PSYCHORADIOLOGY 2023; 3:kkad027. [PMID: 38666105 PMCID: PMC10917386 DOI: 10.1093/psyrad/kkad027] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 11/14/2023] [Accepted: 11/23/2023] [Indexed: 04/28/2024]
Abstract
Background Autism spectrum disorder (ASD) is characterized by social and behavioural deficits. Current diagnosis relies on behavioural criteria, but machine learning, particularly connectome-based predictive modelling (CPM), offers the potential to uncover neural biomarkers for ASD. Objective This study aims to predict the severity of ASD traits using CPM and explores differences among ASD subtypes, seeking to enhance diagnosis and understanding of ASD. Methods Resting-state functional magnetic resonance imaging data from 151 ASD patients were used in the model. CPM with leave-one-out cross-validation was conducted to identify intrinsic neural networks that predict Autism Diagnostic Observation Schedule (ADOS) scores. After the model was constructed, it was applied to independent samples to test its replicability (172 ASD patients) and specificity (36 healthy control participants). Furthermore, we examined the predictive model across different aspects of ASD and in subtypes of ASD to understand the potential mechanisms underlying the results. Results The CPM successfully identified negative networks that significantly predicted ADOS total scores [r (df = 150) = 0.19, P = 0.008 in all patients; r (df = 104) = 0.20, P = 0.040 in classic autism] and communication scores [r (df = 150) = 0.22, P = 0.010 in all patients; r (df = 104) = 0.21, P = 0.020 in classic autism]. These results were reproducible across independent databases. The networks were characterized by enhanced inter- and intranetwork connectivity associated with the occipital network (OCC), and the sensorimotor network (SMN) also played important roles. Conclusions A CPM based on whole-brain resting-state functional connectivity can predicted the severity of ASD. Large-scale networks, including the OCC and SMN, played important roles in the predictive model. These findings may provide new directions for the diagnosis and intervention of ASD, and maybe could be the targets in novel interventions.
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Affiliation(s)
- Xuefeng Ma
- Department of Psychology, Yunnan Normal University, Kunming, Yunnan Province 650500, China
- Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China
- Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China
| | - Weiran Zhou
- Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China
- Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China
| | - Hui Zheng
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, China
| | - Shuer Ye
- Kavli Institute for Systems Neuroscience, Centre for Neural Computation, Norwegian University of Science and Technology, Trondheim 7491, Norway
| | - Bo Yang
- Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China
- Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China
| | - Lingxiao Wang
- Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China
| | - Min Wang
- Department of Psychology, Yunnan Normal University, Kunming, Yunnan Province 650500, China
| | - Guang-Heng Dong
- Department of Psychology, Yunnan Normal University, Kunming, Yunnan Province 650500, China
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Caldani S, Humeau E, Delorme R, Bucci MP. Inhibition functions can be improved in children with autism spectrum disorders: An eye-tracking study. Int J Dev Neurosci 2023; 83:431-441. [PMID: 37218472 DOI: 10.1002/jdn.10276] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 03/17/2023] [Accepted: 05/03/2023] [Indexed: 05/24/2023] Open
Abstract
Cognitive remediation therapy interventions could improve cognitive functioning in subjects with autism. To investigate the benefit of a short cognitive training rehabilitation in children with autism spectrum disorder (ASD) on pursuit and fixation performances. We recruited two groups (G1 and G2) of 30 children with ASD, sex-, IQ- and age-matched (mean 11.6 ± 0.5 years), and pursuit and fixation eye movements were recorded twice at T1 and T2. Between T1 and T2, a 10-min cognitive training was performed by the G1 group only, whereas the G2 group had a 10-min of rest. For all children with ASD enrolled in the study, there was a positive correlation between restricted and repetitive behaviour scores of both Autism Diagnostic Interview-Revised (ADI-R) and the Autism Diagnostic Observation Schedule (ADOS) and the number of saccades recorded during the fixation task at T1. At T1, oculomotor performances were similar for both groups of ASD children (G1 and G2). At T2, we observed a significant reduction in the number of saccades made during both pursuit and fixation tasks. Our findings underlined the importance to promote cognitive training rehabilitation for children with ASD, leading to a better performance in inhibitory and attention functioning responsible for pursuit and fixation eye movement's performance.
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Affiliation(s)
- Simona Caldani
- MoDyCo, UMR 7114 CNRS, Paris Nanterre University, Nanterre, France
- EFEE-Center for the Functional Exploration of Balance in Children, Robert Debré Hospital, Paris, France
| | - Elise Humeau
- Child and Adolescent Psychiatry Department, Robert Debré Hospital, Paris, France
- High Functioning Autism Expert Centre, Fundamental Fondation, Paris, France
- Paris University, Paris, France
| | - Richard Delorme
- Child and Adolescent Psychiatry Department, Robert Debré Hospital, Paris, France
- High Functioning Autism Expert Centre, Fundamental Fondation, Paris, France
- Paris University, Paris, France
| | - Maria Pia Bucci
- MoDyCo, UMR 7114 CNRS, Paris Nanterre University, Nanterre, France
- EFEE-Center for the Functional Exploration of Balance in Children, Robert Debré Hospital, Paris, France
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Li C, Chen W, Li X, Li T, Chen Y, Zhang C, Ning M, Wang X. Gray matter asymmetry atypical patterns in subgrouping minors with autism based on core symptoms. Front Neurosci 2023; 16:1077908. [PMID: 36760800 PMCID: PMC9905125 DOI: 10.3389/fnins.2022.1077908] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 12/30/2022] [Indexed: 01/26/2023] Open
Abstract
Abnormal gray matter (GM) asymmetry has been verified in autism spectrum disorder (ASD), which is characterized by high heterogeneity. ASD is distinguished by three core symptom domains. Previous neuroimaging studies have offered support for divergent neural substrates of different core symptom domains in ASD. However, no previous study has explored GM asymmetry alterations underlying different core symptom domains. This study sought to clarify atypical GM asymmetry patterns underlying three core symptom domains in ASD with a large sample of 230 minors with ASD (ages 7-18 years) and 274 matched TD controls from the Autism Brain Imaging Data Exchange I (ABIDE I) repository. To this end, the scores of the revised autism diagnostic interview (ADI-R) subscales were normalized for grouping ASD into three core-symptom-defined subgroups: social interaction (SI), verbal communication (VA), and restricted repetitive behaviors (RRB). We investigated core-symptom-related GM asymmetry alterations in ASD resulting from advanced voxel-based morphometry (VBM) by general linear models. We also examined the relationship between GM asymmetry and age and between GM asymmetry and symptom severity assessed by the Autism Diagnostic Observation Schedule (ADOS). We found unique GM asymmetry alterations underlying three core-symptom-defined subgroups in ASD: more rightward asymmetry in the thalamus for SI, less rightward asymmetry in the superior temporal gyrus, anterior cingulate and caudate for VA, and less rightward asymmetry in the middle and inferior frontal gyrus for RRB. Furthermore, the asymmetry indexes in the thalamus were negatively associated with ADOS_SOCIAL scores in the general ASD group. We also showed significant correlations between GM asymmetry and age in ASD and TD individuals. Our results support the theory that each core symptom domain of ASD may have independent etiological and neurobiological underpinnings, which is essential for the interpretation of heterogeneity and the future diagnosis and treatment of ASD.
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Affiliation(s)
- Cuicui Li
- Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Wenxiong Chen
- Guangzhou Women and Children’s Medical Center, Guangzhou, China
| | - Xiaojing Li
- Guangzhou Women and Children’s Medical Center, Guangzhou, China
| | - Tong Li
- Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Ying Chen
- Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Chunling Zhang
- Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Mingmin Ning
- Guangzhou Women and Children’s Medical Center, Guangzhou, China,*Correspondence: Mingmin Ning,
| | - Ximing Wang
- Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China,Ximing Wang,
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5
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Kang W, Hernández SP, Rahman MS, Voigt K, Malvaso A. Inhibitory Control Development: A Network Neuroscience Perspective. Front Psychol 2022; 13:651547. [PMID: 36300046 PMCID: PMC9588931 DOI: 10.3389/fpsyg.2022.651547] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Accepted: 02/25/2022] [Indexed: 07/30/2023] Open
Abstract
As one of the core executive functions, inhibition plays an important role in human life through development. Inhibitory control is defined as the ability to suppress actions when they are unlikely to accomplish valuable results. Contemporary neuroscience has investigated the underlying neural mechanisms of inhibitory control. The controversy started to arise, which resulted in two schools of thought: a modulatory and a network account of inhibitory control. In this systematic review, we survey developmental mechanisms in inhibitory control as well as neurodevelopmental diseases related to inhibitory dysfunctions. This evidence stands against the modulatory perspective of inhibitory control: the development of inhibitory control does not depend on a dedicated region such as the right inferior frontal gyrus (rIFG) but relies on a more broadly distributed network.
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Affiliation(s)
- Weixi Kang
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Department of Medicine, Imperial College London, London, United Kingdom
| | | | | | - Katharina Voigt
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia
| | - Antonio Malvaso
- School of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy
- Neuroimaging Research Unit, Division of Neuroscience, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) San Raffaele Scientific Institute, Milan, Italy
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6
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Cahart MS, Amad A, Draper SB, Lowry RG, Marino L, Carey C, Ginestet CE, Smith MS, Williams SCR. The effect of learning to drum on behavior and brain function in autistic adolescents. Proc Natl Acad Sci U S A 2022; 119:e2106244119. [PMID: 35639696 PMCID: PMC9191342 DOI: 10.1073/pnas.2106244119] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 03/17/2022] [Indexed: 11/18/2022] Open
Abstract
This current study aimed to investigate the impact of drum training on behavior and brain function in autistic adolescents with no prior drumming experience. Thirty-six autistic adolescents were recruited and randomly assigned to one of two groups. The drum group received individual drum tuition (two lessons per week over an 8-wk period), while the control group did not. All participants attended a testing session before and after the 8-wk period. Each session included a drumming assessment, an MRI scan, and a parent completing questionnaires relating to the participants’ behavioral difficulties. Results showed that improvements in drumming performance were associated with a significant reduction in hyperactivity and inattention difficulties in drummers compared to controls. The fMRI results demonstrated increased functional connectivity in brain areas responsible for inhibitory control, action outcomes monitoring, and self-regulation. In particular, seed-to-voxel analyses revealed an increased functional connectivity in the right inferior frontal gyrus and the right dorsolateral prefrontal cortex. A multivariate pattern analysis demonstrated significant changes in the medial frontal cortex, the left and right paracingulate cortex, the subcallosal cortex, the left frontal pole, the caudate, and the left nucleus accumbens. In conclusion, this study investigates the impact of a drum-based intervention on neural and behavioral outcomes in autistic adolescents. We hope that these findings will inform further research and trials into the potential use of drum-based interventions in benefitting clinical populations with inhibition-related disorders and emotional and behavioral difficulties.
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Affiliation(s)
| | - Ali Amad
- Neuroimaging Department, Kings College London, London SE5 8AF, United Kingdom
- Lille Neuroscience & Cognition Department, University of Lille, INSERM U1172, Centre Hospitalier Universitaire Lille, Lille, F-59000 France
| | - Stephen B. Draper
- Department of Sport, Hartpury University, Gloucester GL19 3BE, United Kingdom
| | - Ruth G. Lowry
- School of Sport, Rehabilitation and Exercise Sciences, University of Essex, Essex CO4 3SQ, United Kingdom
| | - Luigi Marino
- Department of Sport, Hartpury University, Gloucester GL19 3BE, United Kingdom
| | - Cornelia Carey
- Department of Psychiatry, Royal College of Surgeons, Dublin 2 D02 YN77, Ireland
| | - Cedric E. Ginestet
- Department of Biostatistics and Health Informatics, Kings College London, London SE5 8AF, United Kingdom
| | - Marcus S. Smith
- Institute of Sport, Nursing and Allied Health, University of Chichester, Chichester PO19 6PE, United Kingdom
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7
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Caldani S, Humeau E, Delorme R, Bucci MP. Dysfunction in inhibition and executive capabilities in children with autism spectrum disorder: An eye tracker study on memory guided saccades. APPLIED NEUROPSYCHOLOGY: CHILD 2022; 12:131-136. [PMID: 35187994 DOI: 10.1080/21622965.2022.2042300] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND Dysmetria in children with autism spectrum disorders is considered depend on executive dysfunctions. To explore the impact of inhibitory control and working memory on oculomotor performance in children with autism spectrum disorder (ASD), we used the memory guided saccade (MGS) paradigm. METHOD We enrolled in our study a group of 26 children with ASD and in a group of 26 children age-, sex-, and IQ-matched of with typically development, using only one single delay period and one single stimulus amplitude. We recorded with a video eye-tracker system- the latency and the accuracy of the MGS as well as the number of anticipatory saccades during the MGS paradigm. RESULTS Children with ASD displayed significant increased latency (p < .01), decreased amplitude of memory guided saccades (p < .01) and an elevated number of anticipatory saccades (p < .003), when compared to age-, sex-, IQ- matched children with typical development. CONCLUSION These abnormalities may underline the executive dysfunctions frequently reported in ASD: the increased latency and the decreased amplitude of memory guides saccades may be related to planning and working memory impairments; the increased number of anticipatory saccades may be linked to a deficit in inhibitory control.
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Affiliation(s)
- Simona Caldani
- MoDyCo, UMR 7114 CNRS, Paris Nanterre University, Nanterre, France
- EFEE – Center for the Functional Exploration of Balance in Children, Robert Debré Hospital, Paris, France
| | - Elise Humeau
- Child and Adolescent Psychiatry Department, Robert Debré Hospital, Paris, France
- High functioning Autism Expert Centre, Fundamental Fondation, Paris, France
- CNRS, Paris University, Paris, France
| | - Richard Delorme
- Child and Adolescent Psychiatry Department, Robert Debré Hospital, Paris, France
- High functioning Autism Expert Centre, Fundamental Fondation, Paris, France
- CNRS, Paris University, Paris, France
| | - Maria Pia Bucci
- MoDyCo, UMR 7114 CNRS, Paris Nanterre University, Nanterre, France
- EFEE – Center for the Functional Exploration of Balance in Children, Robert Debré Hospital, Paris, France
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Amestoy A, Guillaud E, Bucchioni G, Zalla T, Umbricht D, Chatham C, Murtagh L, Houenou J, Delorme R, Moal MLL, Leboyer M, Bouvard M, Cazalets JR. Visual attention and inhibitory control in children, teenagers and adults with autism without intellectual disability: results of oculomotor tasks from a 2-year longitudinal follow-up study (InFoR). Mol Autism 2021; 12:71. [PMID: 34774105 PMCID: PMC8590241 DOI: 10.1186/s13229-021-00474-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 10/23/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Inhibitory control and attention processing atypicalities are implicated in various diseases, including autism spectrum disorders (ASD). These cognitive functions can be tested by using visually guided saccade-based paradigms in children, adolescents and adults to determine the time course of such disorders. METHODS In this study, using Gap, Step, Overlap and Antisaccade tasks, we analyzed the oculomotor behavior of 82 children, teenagers and adults with high functioning ASD and their peer typically developing (TD) controls in a two-year follow-up study under the auspices of the InFoR-Autism project. Analysis of correlations between oculomotors task measurements and diagnostic assessment of attentional (ADHD-RS and ADHD comorbidity indices) and executive functioning (BRIEF scales) were conducted in order to evaluate their relationship with the oculomotor performance of participants with ASD. RESULTS As indicated by the presence of a Gap and Overlap effects in all age groups, the oculomotor performances of ASD participants showed a preserved capability in overt attention switching. In contrast, the difference in performances of ASD participants in the Antisaccade task, compared to their TD peers, indicated an atypical development of inhibition and executive functions. From correlation analysis between our oculomotor data and ADHD comorbidity index, and scores of attention and executive function difficulties, our findings support the hypothesis that a specific dysfunction of inhibition skills occurs in ASD participants that is independent of the presence of ADHD comorbidity. LIMITATIONS These include the relatively small sample size of the ASD group over the study's two-year period, the absence of an ADHD-only control group and the evaluation of a TD control group solely at the study's inception. CONCLUSIONS Children and teenagers with ASD have greater difficulty in attention switching and inhibiting prepotent stimuli. Adults with ASD can overcome these difficulties, but, similar to teenagers and children with ASD, they make more erroneous and anticipatory saccades and display a greater trial-to-trial variability in all oculomotor tasks compared to their peers. Our results are indicative of a developmental delay in the maturation of executive and attentional functioning in ASD and of a specific impairment in inhibitory control.
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Affiliation(s)
- Anouck Amestoy
- CNRS, Aquitaine Institute for Cognitive and Integrative Neuroscience, INCIA, UMR 5287, Université de Bordeaux, 33000, Bordeaux, France. .,Fondation FondaMental, Créteil, France. .,centre hospitalier Charles-Perrens, Pôle universitaire de psychiatrie de l'enfant et de l'adolescent, 121, rue de la Béchade, CS 81285, 33076, Bordeaux Cedex, France.
| | - Etienne Guillaud
- CNRS, Aquitaine Institute for Cognitive and Integrative Neuroscience, INCIA, UMR 5287, Université de Bordeaux, 33000, Bordeaux, France
| | - Giulia Bucchioni
- CNRS, Aquitaine Institute for Cognitive and Integrative Neuroscience, INCIA, UMR 5287, Université de Bordeaux, 33000, Bordeaux, France.,iBrain, UMR 1253 Inserm, Université de Tours, 2 Boulevard Tonnellé, 37044, Tours Cedex, France
| | | | - Daniel Umbricht
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, 4070, Basel, Switzerland
| | - Christopher Chatham
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, 4070, Basel, Switzerland
| | - Lorraine Murtagh
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, 4070, Basel, Switzerland
| | - Josselin Houenou
- Fondation FondaMental, Créteil, France.,NeuroSpin, UNIACT Lab, Equipe de psychiatrie, Commissariat à l'énergie atomique, Saclay, Gif-sur-Yvette, France
| | - Richard Delorme
- Fondation FondaMental, Créteil, France.,Institut Pasteur, Paris, France.,AP-HP, DMU IMPACT, Psychiatry and Addictology Department, Mondor University Hospital, Université Paris Est Créteil, Créteil, France
| | - Myriam Ly-Le Moal
- Institut Roche, Tour horizons- Bureau 18M3, Roche S.A.S., 30, cours de l'île Seguin, 92650, Boulogne-Billancourt, France
| | - Marion Leboyer
- Laboratoire de NeuroPsychiatrie translationnelle, INSERM, U955, IMRB, Créteil, France.,Fondation FondaMental, Créteil, France.,AP-HP, DMU IMPACT, Psychiatry and Addictology Department, Mondor University Hospital, Université Paris Est Créteil, Créteil, France
| | - Manuel Bouvard
- CNRS, Aquitaine Institute for Cognitive and Integrative Neuroscience, INCIA, UMR 5287, Université de Bordeaux, 33000, Bordeaux, France.,Fondation FondaMental, Créteil, France.,centre hospitalier Charles-Perrens, Pôle universitaire de psychiatrie de l'enfant et de l'adolescent, 121, rue de la Béchade, CS 81285, 33076, Bordeaux Cedex, France
| | - Jean-René Cazalets
- CNRS, Aquitaine Institute for Cognitive and Integrative Neuroscience, INCIA, UMR 5287, Université de Bordeaux, 33000, Bordeaux, France
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Xiao J, Chen H, Shan X, He C, Li Y, Guo X, Chen H, Liao W, Uddin LQ, Duan X. Linked Social-Communication Dimensions and Connectivity in Functional Brain Networks in Autism Spectrum Disorder. Cereb Cortex 2021; 31:3899-3910. [PMID: 33791779 DOI: 10.1093/cercor/bhab057] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 01/23/2021] [Accepted: 02/18/2021] [Indexed: 11/14/2022] Open
Abstract
Much recent attention has been directed toward elucidating the structure of social interaction-communication dimensions and whether and how these symptom dimensions coalesce with each other in individuals with autism spectrum disorder (ASD). However, the underlying neurobiological basis of these symptom dimensions is unknown, especially the association of social interaction and communication dimensions with brain networks. Here, we proposed a method of whole-brain network-based regression to identify the functional networks linked to these symptom dimensions in a large sample of children with ASD. Connectome-based predictive modeling (CPM) was established to explore neurobiological evidence that supports the merging of communication and social interaction deficits into one symptom dimension (social/communication deficits). Results showed that the default mode network plays a core role in communication and social interaction dimensions. A primary sensory perceptual network mainly contributed to communication deficits, and high-level cognitive networks mainly contributed to social interaction deficits. CPM revealed that the functional networks associated with these symptom dimensions can predict the merged dimension of social/communication deficits. These findings delineate a link between brain functional networks and symptom dimensions for social interaction and communication and further provide neurobiological evidence supporting the merging of communication and social interaction deficits into one symptom dimension.
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Affiliation(s)
- Jinming Xiao
- The Clinical Hospital of Chengdu Brain Science Institute, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 611731, PR China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, PR China
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 611731, PR China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, PR China
| | - Xiaolong Shan
- The Clinical Hospital of Chengdu Brain Science Institute, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 611731, PR China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, PR China
| | - Changchun He
- The Clinical Hospital of Chengdu Brain Science Institute, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 611731, PR China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, PR China
| | - Ya Li
- The Clinical Hospital of Chengdu Brain Science Institute, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 611731, PR China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, PR China
| | - Xiaonan Guo
- School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, PR China.,Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao 066004, PR China
| | - Heng Chen
- Medical College of Guizhou University, Guiyang 550025, PR China
| | - Wei Liao
- The Clinical Hospital of Chengdu Brain Science Institute, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 611731, PR China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, PR China
| | - Lucina Q Uddin
- Department of Psychology, University of Miami, Coral Gables, FL 33124, USA
| | - Xujun Duan
- The Clinical Hospital of Chengdu Brain Science Institute, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 611731, PR China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, PR China
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10
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Functional brain abnormalities associated with comorbid anxiety in autism spectrum disorder. Dev Psychopathol 2021; 32:1273-1286. [PMID: 33161905 DOI: 10.1017/s0954579420000772] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Anxiety disorders are common in autism spectrum disorder (ASD) and associated with social-communication impairment and repetitive behavior symptoms. The neurobiology of anxiety in ASD is unknown, but amygdala dysfunction has been implicated in both ASD and anxiety disorders. Using resting-state functional magnetic resonance imaging, we compared amygdala-prefrontal and amygdala-striatal connections across three demographically matched groups studied in the Autism Brain Imaging Data Exchange (ABIDE): ASD with a comorbid anxiety disorder (N = 25; ASD + Anxiety), ASD without a comorbid disorder (N = 68; ASD-NoAnx), and typically developing controls (N = 139; TD). Relative to ASD-NoAnx and TD controls, ASD + Anxiety individuals had decreased connectivity between the amygdala and dorsal/rostral anterior cingulate cortex (dACC/rACC). The functional connectivity of these connections was not affected in ASD-NoAnx, and amygdala connectivity with ventral ACC/medial prefrontal cortex (mPFC) circuits was not different in ASD + Anxiety or ASD-NoAnx relative to TD. Decreased amygdala-dorsomedial prefrontal cortex (dmPFC)/rACC connectivity was associated with more severe social impairment in ASD + Anxiety; amygdala-striatal connectivity was associated with restricted, repetitive behavior (RRB) symptom severity in ASD-NoAnx individuals. These findings suggest comorbid anxiety in ASD is associated with disrupted emotion-monitoring processes supported by amygdala-dACC/mPFC pathways, whereas emotion regulation systems involving amygdala-ventromedial prefrontal cortex (vmPFC) are relatively spared. Our results highlight the importance of accounting for comorbid anxiety for parsing ASD neurobiological heterogeneity.
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11
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May KE, Kana RK. Frontoparietal Network in Executive Functioning in Autism Spectrum Disorder. Autism Res 2020; 13:1762-1777. [PMID: 33016005 DOI: 10.1002/aur.2403] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 09/16/2020] [Accepted: 09/17/2020] [Indexed: 11/05/2022]
Abstract
Higher cognitive functions in autism spectrum disorder (ASD) are characterized by impairments in executive functions (EF). While some research attributes this to an overreliance of the prefrontal cortex (PFC), others demonstrate poor recruitment of the PFC in individuals with ASD. In order to assess the emerging consensus across neuroimaging studies of EF in ASD, the current study used a coordinate-based activation likelihood estimation (ALE) analysis of 16 functional magnetic resonance imaging (fMRI) studies, resulting in a meta-analysis of data from 739 participants (356 ASD, 383 typically developing [TD] individuals) ranging from 7 to 52 years of age. Within-group analysis of EF tasks revealed that both TD and ASD participants had significant activity in PFC regions. Analysis of group differences indicated greater activation in ASD, relative to TD participants, in the right middle frontal gyrus and the anterior cingulate cortex, and lesser activation in the bilateral middle frontal, left inferior frontal gyrus, right inferior parietal lobule, and precuneus. Although both ASD and TD participants showed similar PFC activation, there was differential recruitment of wider network of EF regions such as the IPL in ASD participants. The under-recruitment of parietal regions may be due to poor connectivity of the frontoparietal networks with other regions during EF tasks or a restricted executive network in ASD participants which is limited primarily to the PFC. These results support the executive dysfunction hypothesis of ASD and suggests that poor frontoparietal recruitment may underlie some of the EF difficulties individuals with ASD experience. LAY SUMMARY: This study reports a meta-analysis of 16 brain imaging studies of executive functions (EF) in individuals with autism spectrum disorder (ASD). While parts of the brain's EF network is activated in both ASD and control participants, the ASD group does not activate a wider network of EF regions such as the parietal cortex. This may be due to poor EF network connectivity, or a constrained EF network in ASD participants. These results may underlie some of the EF difficulties individuals with ASD experience. Autism Res 2020, 13: 1762-1777. © 2020 International Society for Autism Research and Wiley Periodicals LLC.
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Affiliation(s)
- Kaitlyn E May
- Department of Educational Studies in Psychology, Research Methodology, and Counseling, University of Alabama, Tuscaloosa, Alabama, USA
| | - Rajesh K Kana
- Department of Psychology, Center for Innovative Research in Autism, University of Alabama, Tuscaloosa, Alabama, USA
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12
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Building functional connectivity neuromarkers of behavioral self-regulation across children with and without Autism Spectrum Disorder. Dev Cogn Neurosci 2019; 41:100747. [PMID: 31826838 PMCID: PMC6994646 DOI: 10.1016/j.dcn.2019.100747] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 11/25/2019] [Accepted: 12/03/2019] [Indexed: 01/10/2023] Open
Abstract
Behavioral self-regulation develops rapidly during childhood and struggles in this area can have lifelong negative outcomes. Challenges with self-regulation are common to several neurodevelopmental conditions, including Autism Spectrum Disorder (ASD). Little is known about the neural expression of behavioral regulation in children with and without neurodevelopmental conditions. We examined whole-brain brain functional correlations (FC) and behavioral regulation through connectome predictive modelling (CPM). CPM is a data-driven protocol for developing predictive models of brain–behavior relationships and assessing their potential as ‘neuromarkers’ using cross-validation. The data stems from the ABIDE II and comprises 276 children with and without ASD (8–13 years). We identified networks whose FC predicted individual differences in behavioral regulation. These network models predicted novel individuals’ inhibition and shifting from FC data in both a leave-one-out, and split halves, cross-validation. We observed commonalities and differences, with inhibition relying on more posterior networks, shifting relying on more anterior networks, and both involving regions of the DMN. Our findings substantially add to our knowledge on the neural expressions of inhibition and shifting across children with and without a neurodevelopmental condition. Given the numerous behavioral issues that can be quantified dimensionally, refinement of whole-brain neuromarker techniques may prove useful in the future.
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