1
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Suresh H, Morgan BR, Mithani K, Warsi NM, Yan H, Germann J, Boutet A, Loh A, Gouveia FV, Young J, Quon J, Morgado F, Lerch J, Lozano AM, Al-Fatly B, Kühn AA, Laughlin S, Dewan MC, Mabbott D, Gorodetsky C, Bartels U, Huang A, Tabori U, Rutka JT, Drake JM, Kulkarni AV, Dirks P, Taylor MD, Ramaswamy V, Ibrahim GM. Postoperative cerebellar mutism syndrome is an acquired autism-like network disturbance. Neuro Oncol 2024; 26:950-964. [PMID: 38079480 PMCID: PMC11066932 DOI: 10.1093/neuonc/noad230] [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: 05/04/2024] Open
Abstract
BACKGROUND Cerebellar mutism syndrome (CMS) is a common and debilitating complication of posterior fossa tumor surgery in children. Affected children exhibit communication and social impairments that overlap phenomenologically with subsets of deficits exhibited by children with Autism spectrum disorder (ASD). Although both CMS and ASD are thought to involve disrupted cerebro-cerebellar circuitry, they are considered independent conditions due to an incomplete understanding of their shared neural substrates. METHODS In this study, we analyzed postoperative cerebellar lesions from 90 children undergoing posterior fossa resection of medulloblastoma, 30 of whom developed CMS. Lesion locations were mapped to a standard atlas, and the networks functionally connected to each lesion were computed in normative adult and pediatric datasets. Generalizability to ASD was assessed using an independent cohort of children with ASD and matched controls (n = 427). RESULTS Lesions in children who developed CMS involved the vermis and inferomedial cerebellar lobules. They engaged large-scale cerebellothalamocortical circuits with a preponderance for the prefrontal and parietal cortices in the pediatric and adult connectomes, respectively. Moreover, with increasing connectomic age, CMS-associated lesions demonstrated stronger connectivity to the midbrain/red nuclei, thalami and inferior parietal lobules and weaker connectivity to the prefrontal cortex. Importantly, the CMS-associated lesion network was independently reproduced in ASD and correlated with communication and social deficits, but not repetitive behaviors. CONCLUSIONS Our findings indicate that CMS-associated lesions may result in an ASD-like network disturbance that occurs during sensitive windows of brain development. A common network disturbance between CMS and ASD may inform improved treatment strategies for affected children.
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Affiliation(s)
- Hrishikesh Suresh
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
- Program in Neuroscience and Mental Health, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
- Division of Neurosurgery, The Hospital for Sick Children, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Benjamin R Morgan
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Karim Mithani
- Division of Neurosurgery, The Hospital for Sick Children, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Nebras M Warsi
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
- Program in Neuroscience and Mental Health, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
- Division of Neurosurgery, The Hospital for Sick Children, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Han Yan
- Program in Neuroscience and Mental Health, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
- Division of Neurosurgery, The Hospital for Sick Children, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Jürgen Germann
- Division of Neurosurgery, University Health Network, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
| | - Alexandre Boutet
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
- Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Aaron Loh
- Division of Neurosurgery, The Hospital for Sick Children, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Flavia Venetucci Gouveia
- Program in Neuroscience and Mental Health, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
| | - Julia Young
- Department of Psychology, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Jennifer Quon
- Division of Neurosurgery, The Hospital for Sick Children, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Felipe Morgado
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Jason Lerch
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Andres M Lozano
- Division of Neurosurgery, University Health Network, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
| | - Bassam Al-Fatly
- Department of Neurology and Experimental Neurology, Movement Disorders and Neuromodulation Unit, Charité, Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Andrea A Kühn
- Department of Neurology and Experimental Neurology, Movement Disorders and Neuromodulation Unit, Charité, Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
- Exzellenzcluster NeuroCure, Charité, Universitätsmedizin, Berlin, Germany
| | - Suzanne Laughlin
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Michael C Dewan
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Donald Mabbott
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Carolina Gorodetsky
- Division of Neurology, Department of Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Ute Bartels
- Division of Neuro-Oncology, Department of Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Annie Huang
- Division of Neuro-Oncology, Department of Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Uri Tabori
- Division of Neuro-Oncology, Department of Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - James T Rutka
- Division of Neurosurgery, The Hospital for Sick Children, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - James M Drake
- Division of Neurosurgery, The Hospital for Sick Children, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Abhaya V Kulkarni
- Division of Neurosurgery, The Hospital for Sick Children, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Peter Dirks
- Division of Neurosurgery, The Hospital for Sick Children, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Michael D Taylor
- Division of Neurosurgery, The Hospital for Sick Children, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Vijay Ramaswamy
- Division of Neuro-Oncology, Department of Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - George M Ibrahim
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, The Hospital for Sick Children, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
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2
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Ullman MT, Clark GM, Pullman MY, Lovelett JT, Pierpont EI, Jiang X, Turkeltaub PE. The neuroanatomy of developmental language disorder: a systematic review and meta-analysis. Nat Hum Behav 2024; 8:962-975. [PMID: 38491094 DOI: 10.1038/s41562-024-01843-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 02/01/2024] [Indexed: 03/18/2024]
Abstract
Developmental language disorder (DLD) is a common neurodevelopmental disorder with adverse impacts that continue into adulthood. However, its neural bases remain unclear. Here we address this gap by systematically identifying and quantitatively synthesizing neuroanatomical studies of DLD using co-localization likelihood estimation, a recently developed neuroanatomical meta-analytic technique. Analyses of structural brain data (22 peer-reviewed papers, 577 participants) revealed highly consistent anomalies only in the basal ganglia (100% of participant groups in which this structure was examined, weighted by group sample sizes; 99.8% permutation-based likelihood the anomaly clustering was not due to chance). These anomalies were localized specifically to the anterior neostriatum (again 100% weighted proportion and 99.8% likelihood). As expected given the task dependence of activation, functional neuroimaging data (11 peer-reviewed papers, 414 participants) yielded less consistency, though anomalies again occurred primarily in the basal ganglia (79.0% and 95.1%). Multiple sensitivity analyses indicated that the patterns were robust. The meta-analyses elucidate the neuroanatomical signature of DLD, and implicate the basal ganglia in particular. The findings support the procedural circuit deficit hypothesis of DLD, have basic research and translational implications for the disorder, and advance our understanding of the neuroanatomy of language.
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Affiliation(s)
- Michael T Ullman
- Brain and Language Laboratory, Department of Neuroscience, Georgetown University, Washington DC, USA.
| | - Gillian M Clark
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Mariel Y Pullman
- Brain and Language Laboratory, Department of Neuroscience, Georgetown University, Washington DC, USA
- Mount Sinai Beth Israel, New York, NY, USA
| | - Jarrett T Lovelett
- Brain and Language Laboratory, Department of Neuroscience, Georgetown University, Washington DC, USA
- Department of Psychology, University of California, San Diego, La Jolla, CA, USA
| | - Elizabeth I Pierpont
- Department of Pediatrics, University of Minnesota Medical Center, Minneapolis, MN, USA
| | - Xiong Jiang
- Department of Neuroscience, Georgetown University, Washington DC, USA
| | - Peter E Turkeltaub
- Center for Brain Plasticity and Recovery, Georgetown University, Washington DC, USA
- Research Division, MedStar National Rehabilitation Network, Washington DC, USA
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3
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Bulut T, Hagoort P. Contributions of the left and right thalami to language: A meta-analytic approach. Brain Struct Funct 2024:10.1007/s00429-024-02795-3. [PMID: 38625556 DOI: 10.1007/s00429-024-02795-3] [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: 09/23/2023] [Accepted: 03/25/2024] [Indexed: 04/17/2024]
Abstract
BACKGROUND Despite a pervasive cortico-centric view in cognitive neuroscience, subcortical structures including the thalamus have been shown to be increasingly involved in higher cognitive functions. Previous structural and functional imaging studies demonstrated cortico-thalamo-cortical loops which may support various cognitive functions including language. However, large-scale functional connectivity of the thalamus during language tasks has not been examined before. METHODS The present study employed meta-analytic connectivity modeling to identify language-related coactivation patterns of the left and right thalami. The left and right thalami were used as regions of interest to search the BrainMap functional database for neuroimaging experiments with healthy participants reporting language-related activations in each region of interest. Activation likelihood estimation analyses were then carried out on the foci extracted from the identified studies to estimate functional convergence for each thalamus. A functional decoding analysis based on the same database was conducted to characterize thalamic contributions to different language functions. RESULTS The results revealed bilateral frontotemporal and bilateral subcortical (basal ganglia) coactivation patterns for both the left and right thalami, and also right cerebellar coactivations for the left thalamus, during language processing. In light of previous empirical studies and theoretical frameworks, the present connectivity and functional decoding findings suggest that cortico-subcortical-cerebellar-cortical loops modulate and fine-tune information transfer within the bilateral frontotemporal cortices during language processing, especially during production and semantic operations, but also other language (e.g., syntax, phonology) and cognitive operations (e.g., attention, cognitive control). CONCLUSION The current findings show that the language-relevant network extends beyond the classical left perisylvian cortices and spans bilateral cortical, bilateral subcortical (bilateral thalamus, bilateral basal ganglia) and right cerebellar regions.
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Affiliation(s)
- Talat Bulut
- Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
- Department of Speech and Language Therapy, School of Health Sciences, Istanbul Medipol University, Istanbul, Turkey.
| | - Peter Hagoort
- Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
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4
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Xu F, Wang Y, Wang W, Liang W, Tang Y, Liu S. Preterm Birth Alters the Regional Development and Structural Covariance of Cerebellum at Term-Equivalent Age. CEREBELLUM (LONDON, ENGLAND) 2024:10.1007/s12311-024-01691-0. [PMID: 38581612 DOI: 10.1007/s12311-024-01691-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/01/2024] [Indexed: 04/08/2024]
Abstract
Preterm birth is associated with increased risk for a spectrum of neurodevelopmental disabilities. The cerebellum is implicated in a wide range of cognitive functions extending beyond sensorimotor control and plays an increasingly recognized role in brain development. Morphometric studies based on volume analyses have revealed impaired cerebellar development in preterm infants. However, the structural covariance between the cerebellum and cerebral cortex has not been studied during the neonatal period, and the extent to which structural covariance is affected by preterm birth remains unknown. In this study, using the structural MR images of 52 preterm infants scanned at term-equivalent age and 312 full-term controls from the Developing Human Connectome Project, we compared volumetric growth, local cerebellum shape development and cerebello-cerebral structural covariance between the two groups. We found that although there was no significant difference in the overall volume measurements between preterm and full-term infants, the shape measurements were different. Compared with the control infants, preterm infants had significantly larger thickness in the vermis and lower thickness in the lateral portions of the bilateral cerebral hemispheres. The structural covariance between the cerebellum and frontal and parietal lobes was significantly greater in preterm infants than in full-term controls. The findings in this study suggested that cerebellar development and cerebello-cerebral structural covariance may be affected by premature birth.
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Affiliation(s)
- Feifei Xu
- Department of Anatomy and Neurobiology, Institute for Sectional Anatomy and Digital Human, Shandong Key Laboratory of Mental Disorders, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China
| | - Yu Wang
- Department of Anatomy and Neurobiology, Institute for Sectional Anatomy and Digital Human, Shandong Key Laboratory of Mental Disorders, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China
| | - Wenjun Wang
- Department of Anatomy and Neurobiology, Institute for Sectional Anatomy and Digital Human, Shandong Key Laboratory of Mental Disorders, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China
| | - Wenjia Liang
- Department of Anatomy and Neurobiology, Institute for Sectional Anatomy and Digital Human, Shandong Key Laboratory of Mental Disorders, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China
| | - Yuchun Tang
- Department of Anatomy and Neurobiology, Institute for Sectional Anatomy and Digital Human, Shandong Key Laboratory of Mental Disorders, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China
| | - Shuwei Liu
- Department of Anatomy and Neurobiology, Institute for Sectional Anatomy and Digital Human, Shandong Key Laboratory of Mental Disorders, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China.
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5
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Karavallil Achuthan S, Stavrinos D, Holm HB, Anteraper SA, Kana RK. Alterations of Functional Connectivity in Autism and Attention-Deficit/Hyperactivity Disorder Revealed by Multi-Voxel Pattern Analysis. Brain Connect 2023; 13:528-540. [PMID: 37522594 DOI: 10.1089/brain.2023.0006] [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] [Indexed: 08/01/2023] Open
Abstract
Background: Autism and attention-deficit/hyperactivity disorder (ADHD) are comorbid neurodevelopmental disorders that share common and distinct neurobiological mechanisms, with disrupted brain connectivity patterns being a hallmark feature of both conditions. It is challenging to gain a mechanistic understanding of the underlying disorder, because brain connectivity changes in autism and ADHD are heterogeneous. Objectives: The present resting state functional MRI (rs-fMRI) study focuses on investigating the shared and distinct resting state-fMRI connectivity (rsFC) patterns in autistic and ADHD adults using multi-voxel pattern analysis (MVPA). By identifying spatial patterns of fMRI activity across a given time course, MVPA is an innovative and powerful method for generating seed regions of interest (ROIs) without a priori hypotheses. Methods: We performed a data-driven, whole-brain, connectome-wide MVPA on rs-fMRI data collected from 15 autistic, 19 ADHD, and 15 neurotypical (NT) young adults. Results: MVPA identified cerebellar vermis 9, precuneus, and the right cerebellum VI for autistic versus NT, right inferior frontal gyrus and vermis 9 for ADHD versus NT, and right dorsolateral prefrontal cortex for autistic versus ADHD as significant clusters. Post hoc seed-to-voxel analyses using these clusters as seed ROIs were performed for further characterization of group differences. The cerebellum VI, vermis, and precuneus in autistic adults, and the vermis and frontal regions in ADHD showed different connectivity patterns in comparison with NT. Conclusions: The study characterizes the rsFC profile of cerebellum with key cortical areas in autism and ADHD, and it emphasizes the importance of studying the role of the functional connectivity of the cerebellum in neurodevelopmental disorders.
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Affiliation(s)
- Smitha Karavallil Achuthan
- Department of Psychology & The Center for Innovative Research in Autism, University of Alabama, Tuscaloosa, Alabama, USA
| | - Despina Stavrinos
- Department of Psychology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Haley B Holm
- Children's Hospital of Atlanta, Atlanta, Georgia, USA
| | - Sheeba Arnold Anteraper
- Stephens Family Clinical Research Institute, Carle Illinois Advanced Imaging Center, Urbana, Illinois, USA
| | - Rajesh K Kana
- Department of Psychology & The Center for Innovative Research in Autism, University of Alabama, Tuscaloosa, Alabama, USA
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6
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Wang Y, Long H, Zhou Q, Bo T, Zheng J. PLSNet: Position-aware GCN-based autism spectrum disorder diagnosis via FC learning and ROIs sifting. Comput Biol Med 2023; 163:107184. [PMID: 37356292 DOI: 10.1016/j.compbiomed.2023.107184] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 05/25/2023] [Accepted: 06/13/2023] [Indexed: 06/27/2023]
Abstract
Brain function connectivity, derived from functional magnetic resonance imaging (fMRI), has enjoyed high popularity in the studies of Autism Spectrum Disorder (ASD) diagnosis. Albeit rapid progress has been made, most studies still suffer from several knotty issues: (1) the hardship of modeling the sophisticated brain neuronal connectivity; (2) the mismatch of identically graph node setup to the variations of different brain regions; (3) the dimensionality explosion resulted from excessive voxels in each fMRI sample; (4) the poor interpretability giving rise to unpersuasive diagnosis. To ameliorate these issues, we propose a position-aware graph-convolution-network-based model, namely PLSNet, with superior accuracy and compelling built-in interpretability for ASD diagnosis. Specifically, a time-series encoder is designed for context-rich feature extraction, followed by a function connectivity generator to model the correlation with long range dependencies. In addition, to discriminate the brain nodes with different locations, the position embedding technique is adopted, giving a unique identity to each graph region. We then embed a rarefying method to sift the salient nodes during message diffusion, which would also benefit the reduction of the dimensionality complexity. Extensive experiments conducted on Autism Brain Imaging Data Exchange demonstrate that our PLSNet achieves state-of-the-art performance. Notably, on CC200 atlas, PLSNet reaches an accuracy of 76.4% and a specificity of 78.6%, overwhelming the previous state-of-the-art with 2.5% and 6.5% under five-fold cross-validation policy. Moreover, the most salient brain regions predicted by PLSNet are closely consistent with the theoretical knowledge in the medical domain, providing potential biomarkers for ASD clinical diagnosis. Our code is available at https://github.com/CodeGoat24/PLSNet.
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Affiliation(s)
- Yibin Wang
- College of Computer Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, Zhejiang, China
| | - Haixia Long
- College of Computer Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, Zhejiang, China
| | - Qianwei Zhou
- College of Computer Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, Zhejiang, China
| | - Tao Bo
- Scientific Center, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan 250021, Shandong, China
| | - Jianwei Zheng
- College of Computer Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, Zhejiang, China.
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7
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Keser Z, Meier EL, Stockbridge MD, Breining BL, Hillis AE, Sebastian R. Corticocerebellar White Matter Integrity Is Related to Naming Outcome in Post-Stroke Aphasia. NEUROBIOLOGY OF LANGUAGE (CAMBRIDGE, MASS.) 2023; 4:404-419. [PMID: 37588128 PMCID: PMC10426388 DOI: 10.1162/nol_a_00107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 04/03/2023] [Indexed: 08/18/2023]
Abstract
Studies have shown that the integrity of white matter tracts connecting different regions in the left cerebral hemisphere is important for aphasia recovery after stroke. However, the impact of the underlying structural connection between the cortex and the cerebellum in post-stroke aphasia is poorly understood. We studied the microstructural integrity of the cerebellum and the corticocerebellar connections and their role in picture naming. Fifty-six patients with left cerebral infarcts (sparing the cerebellum) underwent diffusion tensor imaging (DTI) and Boston Naming Test. We compared the fractional anisotropy (FA) and mean diffusivity (MD) values of the right and the left cerebellum (lobular gray and white matter structures) and cerebellocortical connections. Recursive feature elimination and Spearman correlation analyses were performed to evaluate the relationship between naming performance and the corticocerebellar connections. We found that the right, relative to left, cerebellar structures and their connections with the left cerebrum showed lower FA and higher MD values, both reflecting lower microstructural integrity. This trend was not observed in the healthy controls. Higher MD values of the right major cerebellar outflow tract were associated with poorer picture naming performance. Our study provides the first DTI data demonstrating the critical importance of ascending and descending corticocerebellar connections for naming outcomes after stroke.
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Affiliation(s)
- Zafer Keser
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Erin L. Meier
- Department of Communication Sciences and Disorders, Northeastern University, Boston, MA, USA
| | - Melissa D. Stockbridge
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Bonnie L. Breining
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Argye E. Hillis
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Cognitive Science, Johns Hopkins University, Baltimore, MD, USA
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Rajani Sebastian
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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8
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Zheng J, Yang Q, Makris N, Huang K, Liang J, Ye C, Yu X, Tian M, Ma T, Mou T, Guo W, Kikinis R, Gao Y. Three-Dimensional Digital Reconstruction of the Cerebellar Cortex: Lobule Thickness, Surface Area Measurements, and Layer Architecture. CEREBELLUM (LONDON, ENGLAND) 2023; 22:249-260. [PMID: 35286708 PMCID: PMC9470778 DOI: 10.1007/s12311-022-01390-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 02/28/2022] [Indexed: 11/28/2022]
Abstract
The cerebellum is ontogenetically one of the first structures to develop in the central nervous system; nevertheless, it has been only recently reconsidered for its significant neurobiological, functional, and clinical relevance in humans. Thus, it has been a relatively under-studied compared to the cerebrum. Currently, non-invasive imaging modalities can barely reach the necessary resolution to unfold its entire, convoluted surface, while only histological analyses can reveal local information at the micrometer scale. Herein, we used the BigBrain dataset to generate area and point-wise thickness measurements for all layers of the cerebellar cortex and for each lobule in particular. We found that the overall surface area of the cerebellar granular layer (including Purkinje cells) was 1,732 cm2 and the molecular layer was 1,945 cm2. The average thickness of the granular layer is 0.88 mm (± 0.83) and that of the molecular layer is 0.32 mm (± 0.08). The cerebellum (both granular and molecular layers) is thicker at the depth of the sulci and thinner at the crowns of the gyri. Globally, the granular layer is thicker in the lateral-posterior-inferior region than the medial-superior regions. The characterization of individual layers in the cerebellum achieved herein represents a stepping-stone for investigations interrelating structural and functional connectivity with cerebellar architectonics using neuroimaging, which is a matter of considerable relevance in basic and clinical neuroscience. Furthermore, these data provide templates for the construction of cerebellar topographic maps and the precise localization of structural and functional alterations in diseases affecting the cerebellum.
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Affiliation(s)
- Junxiao Zheng
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China
| | - Qinzhu Yang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China
| | - Nikos Makris
- Center for Morphometric Analysis, Departments of Psychiatry, Neurology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
- Department of Anatomy and Neurobiology, Boston University Medical School, Boston, USA
| | - Kaibin Huang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China
| | - Jianwen Liang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China
| | - Chenfei Ye
- Pengcheng Lab, Shenzhen, Guangdong, China
| | - Xiaxia Yu
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China
| | - Mu Tian
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China
| | - Ting Ma
- Pengcheng Lab, Shenzhen, Guangdong, China
- Department of Electronic and Information Engineering, Harbin Institute of Technology Campus, Shenzhen, Guangdong, China
| | - Tian Mou
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China
| | - Wenlong Guo
- Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Ron Kikinis
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Yi Gao
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China.
- Pengcheng Lab, Shenzhen, Guangdong, China.
- Marshall Laboratory of Biomedical Engineering, Shenzhen, Guangdong, China.
- Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen, Guangdong, China.
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9
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Bylemans T, Heleven E, Baetens K, Deroost N, Baeken C, Van Overwalle F. Mentalizing and narrative coherence in autistic adults: Cerebellar sequencing and prediction. Neurosci Biobehav Rev 2023; 146:105045. [PMID: 36646260 DOI: 10.1016/j.neubiorev.2023.105045] [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: 10/29/2022] [Revised: 01/11/2023] [Accepted: 01/11/2023] [Indexed: 01/15/2023]
Abstract
BYLEMANS, T., et al. Mentalizing and narrative coherence in autistic adults: Cerebellar sequencing and prediction. NEUROSCI BIOBEHAV REV, 2022. - This review focuses on autistic adults and serves 4 purposes: (1) providing an overview of their difficulties regarding mentalizing (understanding others' mental states) and narrative coherence (structured storytelling), (2) highlighting the relations between both skills by examining behavioral observations and shared neural substrates, (3) providing an integrated perspective regarding novel diagnostic tools and support services, and (4) raising awareness of adult autism. We suggest that mentalizing and narrative coherence are related at the behavioral level and neural level. In addition to the traditional mentalizing network, the cerebellum probably serves as an important hub in shared cerebral networks implicated in mentalizing and narrative coherence. Future autism research and support services should tackle new questions within a framework of social cerebellar (dys)functioning.
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Affiliation(s)
- Tom Bylemans
- Brain, Body and Cognition, Department of Psychology, and Center for Neuroscience, Vrije Universiteit Brussel, Brussels, Belgium.
| | - Elien Heleven
- Brain, Body and Cognition, Department of Psychology, and Center for Neuroscience, Vrije Universiteit Brussel, Brussels, Belgium.
| | - Kris Baetens
- Brain, Body and Cognition, Department of Psychology, and Center for Neuroscience, Vrije Universiteit Brussel, Brussels, Belgium.
| | - Natacha Deroost
- Brain, Body and Cognition, Department of Psychology, and Center for Neuroscience, Vrije Universiteit Brussel, Brussels, Belgium.
| | - Chris Baeken
- Ghent University: Department of Head and Skin (UZGent), Ghent Experimental Psychiatry (GHEP) Lab, Belgium; Vrije Universiteit Brussel (VUB), Department of Psychiatry, University Hospital (UZ Brussel), Brussels, Belgium; Eindhoven University of Technology, Department of Electrical Engineering, Eindhoven, the Netherlands.
| | - Frank Van Overwalle
- Brain, Body and Cognition, Department of Psychology, and Center for Neuroscience, Vrije Universiteit Brussel, Brussels, Belgium.
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Effects of apolipoprotein E4 genotype on cerebro-cerebellar connectivity, brain atrophy, and cognition in patients with Alzheimer's disease. J Neurol Sci 2022; 442:120435. [PMID: 36201963 DOI: 10.1016/j.jns.2022.120435] [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: 02/26/2022] [Revised: 08/28/2022] [Accepted: 09/18/2022] [Indexed: 11/20/2022]
Abstract
INTRODUCTION While several studies have substantially revealed the influence of the apolipoprotein E4 genotype (APOE4) on the vulnerability of Alzheimer's disease (AD), there are still far fewer studies investigating whether and how APOE4, in the absence of the amyloid-β (Aβ), alters regional brain atrophy, cerebro-cerebellar connectivity and cognitive performance in AD patients. METHODS We employed MRI and neuropsychological data from 234 old adults with AD dementia, including 143 APOE4-positive (with ε2/ε4, ε3/ε4, or ε4/ε4 alleles) and 91 APOE4-negative (with ε2/ε2, ε2/ε3 or ε3/ε3), to investigate the cerebro-cerebellar connectivity in three cerebro-cerebellar brain networks: default mode network, motor network and affective-limbic network. Amyloid PET images were used to evaluate individual Aβ burdens, later used as covariates. Regional volumetric and cortical thickness measures were quantified in both the cerebellum and the cerebrum using the cerebellum segmentation algorithm and Freesurfer5.3, respectively. RESULTS Our corrected functional connectivity (FC) results showed that APOE4 carriers (APOE4+) had lower FC within the cerebro-cerebellar motor network. In addition, significant group differences in regional cortical thickness were observed in the left Crus I, the right VIIB, left superior frontal, and right middle temporal gyri. Group differences in regional brain volumes were observed in the left lobule V and right parstriangularis. Furthermore, multiple linear regression analysis indicated that APOE4+ AD patients show greater episodic memory impairment. CONCLUSION Since amyloid-β, age, education, and gender were included as confounds in the statistical models, our findings suggest that APOE4 independently contributes to brain atrophy, disrupted FC, and associated memory declines in AD patients.
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11
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Hilber P. The Role of the Cerebellar and Vestibular Networks in Anxiety Disorders and Depression: the Internal Model Hypothesis. CEREBELLUM (LONDON, ENGLAND) 2022; 21:791-800. [PMID: 35414040 DOI: 10.1007/s12311-022-01400-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/28/2022] [Indexed: 06/14/2023]
Abstract
Clinical data and animal studies confirmed that the cerebellum and the vestibular system are involved in emotions. Nowadays, no real consensus has really emerged to explain the clinical symptoms in humans and behavioral deficits in the animal models. We envisage here that the cerebellum and the vestibular system play complementary roles in emotional reactivity. The cerebellum integrates a large variety of exteroceptive and proprioceptive information necessary to elaborate and to update the internal model: in emotion, as in motor processes, it helps our body and self to adapt to the environment, and to anticipate any changes in such environment in order to produce a time-adapted response. The vestibular system provides relevant environmental stimuli (i.e., gravity, self-position, and movement) and is involved in self-perception. Consequently, cerebellar or vestibular disorders could generate « internal fake news» (due to lack or false sensory information and/or integration) that could, in turn, generate potential internal model deficiencies. In this case, the alterations provoke false anticipation of motor command and external sensory feedback, associated with unsuited behaviors. As a result, the individual becomes progressively unable to cope with the environmental solicitation. We postulate that chronically unsuited, and potentially inefficient, behavioral and visceral responses to environmental solicitations lead to stressful situations. Furthermore, this inability to adapt to the context of the situation generates chronic anxiety which could precede depressive states.
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Affiliation(s)
- Pascal Hilber
- UNIROUEN, INSERM U1245, Cancer and Brain Genomics, Normandie University, 76000, Rouen, France.
- Institute for Research and Innovation in Biomedicine (IRIB), 76000, Rouen, France.
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Félix J, Santos ME, Benitez-Burraco A. Specific Language Impairment, Autism Spectrum Disorders and Social (Pragmatic) Communication Disorders: Is There Overlap in Language Deficits? A Review. REVIEW JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS 2022. [DOI: 10.1007/s40489-022-00327-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Abstract
AbstractAnalysing language characteristics and understanding their dynamics is the key for a successful intervention by speech and language therapists (SLT). Thus, this review aims to investigate a possible overlap in language development shared by autism spectrum disorders (ASD), specific language impairment (SLI) and social (pragmatic) communication disorder (SPCD). The sources of this work were the PubMed, PsycInfo and SciELO databases, as well as the Scientific Open Access Repositories of Portugal. The final selection included 18 studies, focused on several linguistic areas. Results suggest that when individuals are matched according to some language or cognitive skills, they will also show similar characteristics in other language domains. Future work should be done based on spontaneous speech.
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Bulut T. Meta-analytic connectivity modeling of the left and right inferior frontal gyri. Cortex 2022; 155:107-131. [DOI: 10.1016/j.cortex.2022.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 05/21/2022] [Accepted: 07/15/2022] [Indexed: 11/03/2022]
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Sex-Related Left-Lateralized Development of the Crus II Region of the Ansiform Lobule in Cynomolgus Monkeys. Symmetry (Basel) 2022. [DOI: 10.3390/sym14051015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
The asymmetric development of the cerebellum has been reported in several mammalian species. The current study quantitatively characterized cerebellar asymmetry and sexual dimorphism in cynomolgus macaques using magnetic resonance (MR) imaging-based volumetry. Three-dimensional T1W MR images at 7-tesla were acquired ex vivo from fixed adult male (n = 5) and female (n = 5) monkey brains. Five transverse domains of the cerebellar cortex, known as cerebellar compartmentation defined by the zebrin II/aldolase expression pattern, were segmented on MR images, and the left and right sides of their volumes were calculated. Asymmetry quotient (AQ) analysis revealed significant left-lateralization at the population level in the central zone posterior to the cerebellar transverse domains, which included lobule VII of the vermis with the crura I and II of ansiform lobules, in males but not females. Next, the volume of the cerebellar hemispherical lobules was calculated. Population-level leftward asymmetry was revealed in the crus II regions in males using AQ analysis. The AQ values of the other hemispherical lobules showed no left/right side differences at the population level in either sex. The present findings suggest a sexually dimorphic asymmetric aspect of the cerebellum in cynomolgus macaques, characterized by a leftward lateralization of the crus II region in males, but no left/right bias in females.
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15
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Traut N, Heuer K, Lemaître G, Beggiato A, Germanaud D, Elmaleh M, Bethegnies A, Bonnasse-Gahot L, Cai W, Chambon S, Cliquet F, Ghriss A, Guigui N, de Pierrefeu A, Wang M, Zantedeschi V, Boucaud A, van den Bossche J, Kegl B, Delorme R, Bourgeron T, Toro R, Varoquaux G. Insights from an autism imaging biomarker challenge: Promises and threats to biomarker discovery. Neuroimage 2022; 255:119171. [PMID: 35413445 DOI: 10.1016/j.neuroimage.2022.119171] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 02/16/2022] [Accepted: 03/30/2022] [Indexed: 12/23/2022] Open
Abstract
MRI has been extensively used to identify anatomical and functional differences in Autism Spectrum Disorder (ASD). Yet, many of these findings have proven difficult to replicate because studies rely on small cohorts and are built on many complex, undisclosed, analytic choices. We conducted an international challenge to predict ASD diagnosis from MRI data, where we provided preprocessed anatomical and functional MRI data from > 2,000 individuals. Evaluation of the predictions was rigorously blinded. 146 challengers submitted prediction algorithms, which were evaluated at the end of the challenge using unseen data and an additional acquisition site. On the best algorithms, we studied the importance of MRI modalities, brain regions, and sample size. We found evidence that MRI could predict ASD diagnosis: the 10 best algorithms reliably predicted diagnosis with AUC∼0.80 - far superior to what can be currently obtained using genotyping data in cohorts 20-times larger. We observed that functional MRI was more important for prediction than anatomical MRI, and that increasing sample size steadily increased prediction accuracy, providing an efficient strategy to improve biomarkers. We also observed that despite a strong incentive to generalise to unseen data, model development on a given dataset faces the risk of overfitting: performing well in cross-validation on the data at hand, but not generalising. Finally, we were able to predict ASD diagnosis on an external sample added after the end of the challenge (EU-AIMS), although with a lower prediction accuracy (AUC=0.72). This indicates that despite being based on a large multisite cohort, our challenge still produced biomarkers fragile in the face of dataset shifts.
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Affiliation(s)
- Nicolas Traut
- Institut Pasteur, Université de Paris, Département de neuroscience, F-75015 Paris, France; Center for Research and Interdisciplinarity (CRI), Université Paris Descartes, Paris, France
| | - Katja Heuer
- Institut Pasteur, Université de Paris, Département de neuroscience, F-75015 Paris, France; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Center for Research and Interdisciplinarity (CRI), Université Paris Descartes, Paris, France
| | - Guillaume Lemaître
- Parietal, Inria, Saclay, France; Paris-Saclay Center for Data Science, Université Paris Saclay, Saclay, France
| | - Anita Beggiato
- Institut Pasteur, Université de Paris, Département de neuroscience, F-75015 Paris, France; Child and Adolescent Psychiatry Department, Robert Debré, APHP, Paris, France
| | | | | | | | | | - Weidong Cai
- Stanford University School of Medicine, Palo Alto, US
| | | | - Freddy Cliquet
- Institut Pasteur, Université de Paris, Département de neuroscience, F-75015 Paris, France
| | | | | | | | - Meng Wang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Valentina Zantedeschi
- Univ Lyon, UJM-Saint-Etienne, CNRS, Institut d'Optique Graduate School, Laboratoire Hubert Curien UMR 5516, F-42023, Saint-Etienne, France
| | - Alexandre Boucaud
- Parietal, Inria, Saclay, France; Paris-Saclay Center for Data Science, Université Paris Saclay, Saclay, France
| | - Joris van den Bossche
- Parietal, Inria, Saclay, France; Paris-Saclay Center for Data Science, Université Paris Saclay, Saclay, France
| | | | - Richard Delorme
- Institut Pasteur, Université de Paris, Département de neuroscience, F-75015 Paris, France; Child and Adolescent Psychiatry Department, Robert Debré, APHP, Paris, France
| | - Thomas Bourgeron
- Institut Pasteur, Université de Paris, Département de neuroscience, F-75015 Paris, France
| | - Roberto Toro
- Institut Pasteur, Université de Paris, Département de neuroscience, F-75015 Paris, France
| | - Gaël Varoquaux
- Parietal, Inria, Saclay, France; Soda, Inria, Saclay, France.
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Regional Alteration within the Cerebellum and the Reorganization of the Cerebrocerebellar System following Poststroke Aphasia. Neural Plast 2022; 2022:3481423. [PMID: 35360259 PMCID: PMC8964230 DOI: 10.1155/2022/3481423] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Accepted: 02/24/2022] [Indexed: 12/26/2022] Open
Abstract
Recently, an increasing number of studies have highlighted the role of the cerebellum in language processing. However, the role of neural reorganization within the cerebellum as well as within the cerebrocerebellar system caused by poststroke aphasia remains unknown. To solve this problem, in the present study, we investigated regional alterations of the cerebellum as well as the functional reorganization of the cerebrocerebellar circuit by combining structural and resting-state functional magnetic resonance imaging (fMRI) techniques. Twenty patients diagnosed with aphasia following left-hemispheric stroke and 20 age-matched healthy controls (HCs) were recruited in this study. The Western Aphasia Battery (WAB) test was used to assess the participants' language ability. Gray matter volume, spontaneous brain activity, functional connectivity, and effective connectivity were examined in each participant. We discovered that gray matter volumes in right cerebellar lobule VI and right Crus I were significantly lower in the patient group, and the brain activity within these regions was significantly correlated with WAB scores. We also discovered decreased functional connectivity within the crossed cerebrocerebellar circuit, which was significantly correlated with WAB scores. Moreover, altered information flow between the cerebellum and the contralateral cerebrum was found. Together, our findings provide evidence for regional alterations within the cerebellum and the reorganization of the cerebrocerebellar system following poststroke aphasia and highlight the important role of the cerebellum in language processing within aphasic individuals after stroke.
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17
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Cerebellar volumes and language functions in school-aged children born very preterm. Pediatr Res 2021; 90:853-860. [PMID: 33469182 DOI: 10.1038/s41390-020-01327-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 11/30/2020] [Accepted: 12/02/2020] [Indexed: 01/30/2023]
Abstract
BACKGROUND Volumes of cerebellar posterior lobes have been associated with cognitive skills, such as language functioning. Children born very preterm (VPT) often have language problems. However, only total cerebellar volume has been associated with language functioning, with contradicting results. The objective of this study was to ascertain whether total cerebellar structures or specific posterior lobular structures are associated with language ability of school-aged VPT children. METHODS This is a prospective cohort study of 42 school-aged VPT children without major handicaps. Structural MRI was performed and the cerebellum segmentation pipeline was used for segmentation of separate lobules. Narrative retelling assessment was performed and language content and language structure scores were extracted. Linear regression analyses were used to associate language scores with whole gray matter (GM) cerebellar volume and right Crus I+II GM volume. RESULTS Whole cerebellar GM volume was not significantly associated with language content nor with language structure; however, right Crus I+II GM volume was significantly associated with language content (β = 0.192 (CI = 0.033, 0.351), p = 0.020). CONCLUSIONS GM volume of Crus I+II appears to be associated with language functions in school-aged VPT children without major handicaps, while whole cerebellar volume is not. This study showed the importance of studying cerebellar lobules separately, rather than whole cerebellar volume only, in relation to VPT children's language functions. IMPACT GM volume of Crus I+II is associated with semantic language functions in school-aged very preterm children without overt brain injury, whereas whole cerebellar volume is not. This study showed the importance of studying cerebellar lobules separately, rather than whole cerebellar volume only, in relation to very preterm children's language functions. This study might impact future research in very preterm children. Lobular structures rather than whole cerebellar structures should be the region of interest in relation to language functions.
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18
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Morimoto C, Nakamura Y, Kuwabara H, Abe O, Kasai K, Yamasue H, Koike S. Unique Morphometric Features of the Cerebellum and Cerebellocerebral Structural Correlation Between Autism Spectrum Disorder and Schizophrenia. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2021; 1:219-228. [PMID: 36325298 PMCID: PMC9616290 DOI: 10.1016/j.bpsgos.2021.05.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 05/13/2021] [Accepted: 05/23/2021] [Indexed: 12/13/2022] Open
Abstract
Background Although cerebellar morphological involvement has been increasingly recognized in autism spectrum disorder (ASD) and schizophrenia (SZ), the extent to which there are morphological differences between them has not been definitively quantified. Furthermore, although previous studies have demonstrated increased anatomical cerebellocerebral correlations in both conditions, differences between their associations have not been well characterized. Methods We compared cerebellar volume between males with ASD (n = 31), males with SZ (n = 28), and typically developing males (n = 49). A total of 31 cerebellar subregions were investigated with the cerebellum segmented into their constituent lobules, in gray matter (GM) and white matter (WM) separately. Additionally, structural correlations with the contralateral cerebrum were analyzed for each cerebellar lobule. Results We found significantly larger WM volume in the bilateral lobules VI and Crus I in the ASD group than in other groups. While WM or GM volumes of these right lobules had positive associations with ASD symptoms, there was a negative association between GM volume of the right Crus I and SZ symptoms. We further observed, in the ASD group specifically, significant correlations between WM of the right lobule VI and WM of the left frontal pole (r = 0.67) and between GM of the right lobule VI and the left caudate (r = 0.60). Conclusions Our findings support evidence that cerebellar morphology is involved in ASD and SZ with different mechanisms. Furthermore, this study showed that these biological differences require consideration when determining diagnostic criteria and treatment for these disorders.
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Affiliation(s)
- Chie Morimoto
- Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Yuko Nakamura
- UTokyo Center for Integrative Science of Human Behaviour, Graduate School of Art and Sciences, University of Tokyo, Tokyo, Japan
| | - Hitoshi Kuwabara
- Department of Psychiatry, Hamamatsu University School of Medicine, Hamamatsu City, Japan
| | - Osamu Abe
- Department of Radiology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Center for Evolutionary Cognitive Science, Graduate School of Art and Sciences, University of Tokyo, Tokyo, Japan
- International Research Center for Neurointelligence, University of Tokyo Institutes for Advanced Study, University of Tokyo, Tokyo, Japan
- UTokyo Institute for Diversity and Adaptation of Human Mind, University of Tokyo, Tokyo, Japan
| | - Hidenori Yamasue
- Department of Psychiatry, Hamamatsu University School of Medicine, Hamamatsu City, Japan
| | - Shinsuke Koike
- UTokyo Center for Integrative Science of Human Behaviour, Graduate School of Art and Sciences, University of Tokyo, Tokyo, Japan
- Center for Evolutionary Cognitive Science, Graduate School of Art and Sciences, University of Tokyo, Tokyo, Japan
- International Research Center for Neurointelligence, University of Tokyo Institutes for Advanced Study, University of Tokyo, Tokyo, Japan
- UTokyo Institute for Diversity and Adaptation of Human Mind, University of Tokyo, Tokyo, Japan
- Address correspondence to Shinsuke Koike, M.D., Ph.D.
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Lum JAG, Clark GM. Implicit manual and oculomotor sequence learning in developmental language disorder. Dev Sci 2021; 25:e13156. [PMID: 34240500 DOI: 10.1111/desc.13156] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 06/01/2021] [Accepted: 06/24/2021] [Indexed: 02/01/2023]
Abstract
Procedural memory functioning in developmental language disorder (DLD) has largely been investigated by examining implicit sequence learning by the manual motor system. This study examined whether poor sequence learning in DLD is present in the oculomotor domain. Twenty children with DLD and 20 age-matched typically developing (TD) children were presented with a serial reaction time (SRT) task. On the task, a visual stimulus repeatedly appears in different positions on a computer display which prompts a manual response. The children were unaware that on the first three blocks and final block of trials, the visual stimulus followed a sequence. On the fourth block, the stimulus appeared in random positions. Manual reaction times (RT) and saccadic amplitudes were recorded, which assessed sequence learning in the manual and oculomotor domains, respectively. Manual RT were sensitive to sequence learning for the TD group, but not the DLD group. For the TD group, manual RT increased when the random block was presented. This was not the case for the DLD group. In the oculomotor domain, sequence learning was present in both groups. Specifically, sequence learning was found to modulate saccadic amplitudes resulting in both DLD and TD children being able to anticipate the location of the visual stimulus. Overall, the study indicates that not all aspects of the procedural memory system are equally impaired in DLD.
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Affiliation(s)
- Jarrad A G Lum
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Burwood, Victoria, Australia
| | - Gillian M Clark
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Burwood, Victoria, Australia
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Crucitti J, Hyde C, Enticott PG, Stokes MA. Are Vermal Lobules VI-VII Smaller in Autism Spectrum Disorder? THE CEREBELLUM 2021; 19:617-628. [PMID: 32445170 DOI: 10.1007/s12311-020-01143-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Cerebellar volume, in particular vermal lobule areas VI-VII, have been extensively researched in individuals with autism spectrum disorder (ASD), although findings are often unclear. The aim of the present study is to consolidate all existing cerebellar and age data of individuals with ASD, and compare this data to typically developing (TD) controls. Raw data, or the means and standard deviations of cerebellar volume and age, were obtained from 17 studies (NCerebellum: 421 ASD and 370 TD participants; NVI-VII: 506 ASD and 290 TD participants). Total cerebellar volume, or VI-VII area, was plotted against age and lines of fit of ASD and TD data were compared. Mean differences in cerebellar volume and VI-VII area between participants with ASD and TD participants were then compared via ANCOVA analyses. Findings revealed multiple differences in VI-VII area between participants with ASD and TD participants below 18 years of age. Additionally, cerebellar volume was greater in males with ASD than TD males between 2 and 4 years. In the present study, cerebellar volume and VI-VII area show different rates of change across age for those with autism compared with those without. These morphological differences provide a neurobiological justification to investigate related behavioural correlates.
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Affiliation(s)
- Joel Crucitti
- School of Psychology, Faculty of Health, Deakin University, Geelong, VIC, Australia
| | - Christian Hyde
- School of Psychology, Faculty of Health, Deakin University, Geelong, VIC, Australia
| | - Peter G Enticott
- School of Psychology, Faculty of Health, Deakin University, Geelong, VIC, Australia
| | - Mark A Stokes
- School of Psychology, Faculty of Health, Deakin University, Geelong, VIC, Australia.
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Cermak CA, Arshinoff S, Ribeiro de Oliveira L, Tendera A, Beal DS, Brian J, Anagnostou E, Sanjeevan T. Brain and Language Associations in Autism Spectrum Disorder: A Scoping Review. J Autism Dev Disord 2021; 52:725-737. [PMID: 33765302 DOI: 10.1007/s10803-021-04975-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/10/2021] [Indexed: 10/21/2022]
Abstract
Examining brain and behaviour associations for language in autism spectrum disorder (ASD) may bring us closer to identifying neural profiles that are unique to a subgroup of individuals with ASD identified as language impaired (e.g. ASD LI+). We conducted a scoping review to examine brain regions that are associated with language performance in ASD. Further, we examined methodological differences across studies in how language ability was characterized and what neuroimaging methods were used to explore brain regions. Seventeen studies met inclusion criteria. Brain regions specific to ASD LI+ groups were found, however inconsistencies in brain and language associations were evident across study findings. Participant age, age-appropriate language scores, and neuroimaging methods likely contributed to differences in associations found.
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Affiliation(s)
- Carly A Cermak
- Department of Speech-Language Pathology, Faculty of Medicine, University of Toronto, 500 University Avenue, Toronto, ON, M5G 1V7, Canada. .,Rehabilitation Sciences Institute, University of Toronto, 500 University Avenue, Toronto, ON, M5G 1V7, Canada. .,Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada.
| | - Spencer Arshinoff
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada
| | - Leticia Ribeiro de Oliveira
- Department of Speech-Language Pathology, Faculty of Medicine, University of Toronto, 500 University Avenue, Toronto, ON, M5G 1V7, Canada.,Rehabilitation Sciences Institute, University of Toronto, 500 University Avenue, Toronto, ON, M5G 1V7, Canada
| | - Anna Tendera
- Rehabilitation Sciences Institute, University of Toronto, 500 University Avenue, Toronto, ON, M5G 1V7, Canada
| | - Deryk S Beal
- Department of Speech-Language Pathology, Faculty of Medicine, University of Toronto, 500 University Avenue, Toronto, ON, M5G 1V7, Canada.,Rehabilitation Sciences Institute, University of Toronto, 500 University Avenue, Toronto, ON, M5G 1V7, Canada.,Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada
| | - Jessica Brian
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada.,Department of Paediatrics, Medical Sciences Building, University of Toronto, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada
| | - Evdokia Anagnostou
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada.,Department of Paediatrics, Medical Sciences Building, University of Toronto, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada
| | - Teenu Sanjeevan
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, 150 Kilgour Road, Toronto, ON, M4G 1R8, Canada
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22
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Executive Function in High-Functioning Autism Spectrum Disorder: A Meta-analysis of fMRI Studies. J Autism Dev Disord 2021; 50:4022-4038. [PMID: 32200468 DOI: 10.1007/s10803-020-04461-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Abnormalities in executive function (EF) are clinical markers for autism spectrum disorder (ASD). However, the neural mechanisms underlying abnormal EF in ASD remain unclear. This meta-analysis investigated the construct, abnormalities, and age-related changes of EF in ASD. Thirty-three fMRI studies of inhibition, updating, and switching in individuals with high-functioning ASD were included (n = 1114; age range 7-57 years). The results revealed that the EF construct in ASD could be unitary (i.e., common EF) in children/adolescents, but unitary and diverse (i.e., common EF and inhibition) in adults. Abnormalities in this EF construct were found across development in individuals with ASD in comparison with typically developing individuals. Implications and recommendations are discussed for EF theory and for practice in ASD.
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Sanjeevan T, Hammill C, Brian J, Crosbie J, Schachar R, Kelley E, Liu X, Nicolson R, Iaboni A, Day Fragiadakis S, Ristic L, Lerch JP, Anagnostou E. Exploring the Neural Structures Underlying the Procedural Memory Network as Predictors of Language Ability in Children and Adolescents With Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder. Front Hum Neurosci 2020; 14:587019. [PMID: 33362492 PMCID: PMC7759764 DOI: 10.3389/fnhum.2020.587019] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 11/17/2020] [Indexed: 11/13/2022] Open
Abstract
Introduction: There is significant overlap in the type of structural language impairments exhibited by children with autism spectrum disorder (ASD) and children with attention deficit hyperactivity disorder (ADHD). This similarity suggests that the cognitive impairment(s) contributing to the structural language deficits in ASD and ADHD may be shared. Previous studies have speculated that procedural memory deficits may be the shared cognitive impairment. The procedural deficit hypothesis (PDH) argues that language deficits can be explained by differences in the neural structures underlying the procedural memory network. This hypothesis is based on the premise that the neural structures comprising the procedural network support language learning. In this study, we aimed to test the PDH in children with ASD, ADHD, and typical development (TD). Methods: One hundred and sixty-three participants (ages 10–21): 91 with ASD, 26 with ADHD, and 46 with TD, completed standardized measures of cognitive and language ability as well as structural magnetic resonance imaging. We compared the structural language abilities, the neural structures underlying the procedural memory network, and the relationship between structural language and neural structure across diagnostic groups. Results: Our analyses revealed that while the structural language abilities differed across ASD, ADHD, and TD groups, the thickness, area, and volume of the structures supporting the procedural memory network were not significantly different between diagnostic groups. Also, several neural structures were associated with structural language abilities across diagnostic groups. Only two of these structures, the inferior frontal gyrus, and the left superior parietal gyrus, are known to be linked to the procedural memory network. Conclusions: The inferior frontal gyrus and the left superior parietal gyrus, have well-established roles in language learning independent of their role as part of the procedural memory system. Other structures such as the caudate and cerebellum, with critical roles in the procedural memory network, were not associated with structural language abilities across diagnostic groups. It is unclear whether the procedural memory network plays a fundamental role in language learning in ASD, ADHD, and TD.
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Affiliation(s)
- Teenu Sanjeevan
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
| | | | - Jessica Brian
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.,Department of Paediatrics, Medical Sciences Building, University of Toronto, Toronto, ON, Canada
| | - Jennifer Crosbie
- Psychiatry Research, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Russell Schachar
- Psychiatry Research, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Elizabeth Kelley
- Department of Psychology, Queen's University, Kingston, ON, Canada
| | - Xudong Liu
- Department of Psychiatry, Queen's University, Kingston, ON, Canada
| | - Robert Nicolson
- Department of Psychiatry, Schulich School of Medicine & Dentistry, University of Western Ontario, London, ON, Canada
| | - Alana Iaboni
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
| | | | - Leanne Ristic
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
| | - Jason P Lerch
- Mouse Imaging Centre, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Evdokia Anagnostou
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.,Department of Paediatrics, Medical Sciences Building, University of Toronto, Toronto, ON, Canada
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Srinivasan V, Udayakumar N, Anandan K. Influence of Primary Auditory Cortex in the Characterization of Autism Spectrum in Young Adults using Brain Connectivity Parameters and Deep Belief Networks: An fMRI Study. Curr Med Imaging 2020; 16:1059-1073. [PMID: 33342398 DOI: 10.2174/1573405615666191111142039] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 10/14/2019] [Accepted: 10/21/2019] [Indexed: 11/22/2022]
Abstract
BACKGROUND The spectrum of autism encompasses High Functioning Autism (HFA) and Low Functioning Autism (LFA). Brain mapping studies have revealed that autism individuals have overlaps in brain behavioural characteristics. Generally, high functioning individuals are known to exhibit higher intelligence and better language processing abilities. However, specific mechanisms associated with their functional capabilities are still under research. OBJECTIVE This work addresses the overlapping phenomenon present in autism spectrum through functional connectivity patterns along with brain connectivity parameters and distinguishes the classes using deep belief networks. METHODS The task-based functional Magnetic Resonance Images (fMRI) of both high and low functioning autistic groups were acquired from ABIDE database, for 58 low functioning against 43 high functioning individuals while they were involved in a defined language processing task. The language processing regions of the brain, along with Default Mode Network (DMN) have been considered for the analysis. The functional connectivity maps have been plotted through graph theory procedures. Brain connectivity parameters such as Granger Causality (GC) and Phase Slope Index (PSI) have been calculated for the individual groups. These parameters have been fed to Deep Belief Networks (DBN) to classify the subjects under consideration as either LFA or HFA. RESULTS Results showed increased functional connectivity in high functioning subjects. It was found that the additional interaction of the Primary Auditory Cortex lying in the temporal lobe, with other regions of interest complimented their enhanced connectivity. Results were validated using DBN measuring the classification accuracy of 85.85% for high functioning and 81.71% for the low functioning group. CONCLUSION Since it is known that autism involves enhanced, but imbalanced components of intelligence, the reason behind the supremacy of high functioning group in language processing and region responsible for enhanced connectivity has been recognized. Therefore, this work that suggests the effect of Primary Auditory Cortex in characterizing the dominance of language processing in high functioning young adults seems to be highly significant in discriminating different groups in autism spectrum.
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Affiliation(s)
- Vidhusha Srinivasan
- Department of Information Technology, Centre for Healthcare Technologies, Sri Sirasubramaniya Nadar College of Engineering, Rajiv Gandhi Salai (OMR), Chennai, India
| | - N Udayakumar
- Department of Pediatrics, Sri Ramachandra Institute of Higher Education and Research, Sri Ramachandra Medical University, Chennai, India
| | - Kavitha Anandan
- Department of Biomedical Engineering, Centre for Healthcare Technologies, Sri Sirasubramaniya Nadar College of Engineering, Rajiv Gandhi Salai (OMR), Chennai, India
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Kamiya S, Sawada K. Immunohistochemical characterization of postnatal changes in cerebellar cortical cytoarchitectures in ferrets. Anat Rec (Hoboken) 2020; 304:413-424. [PMID: 32396712 DOI: 10.1002/ar.24420] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 02/25/2020] [Accepted: 03/04/2020] [Indexed: 12/19/2022]
Abstract
We immunohistochemically characterized postnatal changes in cerebellar cortical cytoarchitectures in ferrets using markers for cerebellar cortical neurons and glial cells. Although 10 lobules of the vermis were already observed on postnatal day (PD) 4, Purkinje cells were still arrayed into two to three layers. Purkinje cells were aligned in a monolayer by PD 10 and formed mature shapes on PD 42 by developing their dendritic arbors. Parvalbumin immunostaining revealed relatively slower maturation of Purkinje cells in the Lobule X cortex than in other lobules. Basket and stellate cells emerged in the molecular layer on PDs 21 and 42, respectively. Rosette-like arranged glutamate decarboxylase 65 and 67-positive puncta were observed in the inner granular layer (IGL) on PD 21. Proliferating cell nuclear antigen immunostaining appeared in the outer zone of the external granular layer (EGL) containing progenitors of granular neurons on PDs 4-21. Bergmann glial processes extending vertically through the molecular layer and EGL were visible with GFAP immunostaining on PD 10 and thereafter. Their somata, aligned in the Purkinje cell layer, showed immunopositivity to Sox2 already on PD 4 and subsequently to S100 protein on PD 10. Sox2-positive cells were found sparsely in the IGL. Few of them were NeuN positive on PD 90, predicting the possibility of adult neurogenesis. These immunohistochemical results revealed that ferrets underwent cerebellar cortical histogenesis during their postnatal life in sequences. Relatively slow development or maturation of the ferret cerebellum was revealed by the timing of the monolayer alignment and morphological maturation of Purkinje cells.
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Affiliation(s)
- Shiori Kamiya
- Department of Nutrition, Faculty of Medical and Health Sciences, Tsukuba International University, Tsuchiura, Ibaraki, Japan
| | - Kazuhiko Sawada
- Department of Nutrition, Faculty of Medical and Health Sciences, Tsukuba International University, Tsuchiura, Ibaraki, Japan
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26
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Abstract
The ferret cerebellum is anteriorly right-lateralized and posteriorly left-lateralized. This study characterized the left/right difference in ferret cerebellar lobular morphology using 3D-rendered magnetic resonance images of fixed brains from seven male and seven female ferrets on postnatal day 90. Asymmetrical lobular morphology showed asymmetrical sublobular development in the anterior vermis, lobulus simplex, and ansiform lobules and additional grooves asymmetrically appearing in the paramedian lobule, lobule VI, and ansiform lobules. Although we observed these asymmetric hallmarks in four cerebellar transverse domains in both sexes, there was no left/right difference in their incidence in each domain. Males showed a significantly higher incidence of the additional grooves in the left side of the ansiform lobules than in females. Data were combined and classified as per the asymmetry quotient (AQ) into left- (AQ < 0) and right-dominant (AQ > 0) groups. There were significantly higher incidences of poor sublobular development of ansiform lobules and additional groove appearing in lobule VI on the right than on the left in the left-dominant group. Asymmetric hallmarks visible on the cerebellar surface of ferrets are relevant to the left-biased volume asymmetry of the central zone of cerebellar transversus domains containing lobule VI and ansiform lobules.
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Filippi R, Periche Tomas E, Papageorgiou A, Bright P. A role for the cerebellum in the control of verbal interference: Comparison of bilingual and monolingual adults. PLoS One 2020; 15:e0231288. [PMID: 32315339 PMCID: PMC7173859 DOI: 10.1371/journal.pone.0231288] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Accepted: 03/19/2020] [Indexed: 12/13/2022] Open
Abstract
We evaluate brain structure sensitivity to verbal interference in a sentence interpretation task, building on previously reported evidence that those with better control of verbal interference show higher grey matter density in the posterior paravermis of the right cerebellum. We compare brain structure sensitivity to verbal interference control across two groups, English monolingual (N = 41) and multilingual (N = 46) adults. Using voxel-based morphometry, our primary goal was to identify and explore differences in regional patterns of grey matter sensitivity to performance on the sentence interpretation task, controlling for group variability in age, nonverbal reasoning and vocabulary knowledge. There was no group difference in performance but there was a significant group effect in grey matter sensitivity to task performance in our region of interest: stronger sensitivity in the paravermis in bilinguals compared to monolinguals in accuracy performance in the high (relative to low) verbal interference condition. This effect was observed when the linguistic interference was presented in an unfamiliar language (Greek) but not when presented in the familiar language (English). Our findings suggest that multilanguage acquisition mediates regional involvement within the language network, conferring enhanced functional plasticity within structures (including the paravermis) in the service of control of linguistic interference.
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Affiliation(s)
- Roberto Filippi
- Institute of Education, University College London, London, England, United Kingdom
- MULTAC (Multilanguage and Cognition Lab), Institute of Education, University College London, London, England, United Kingdom
- * E-mail:
| | - Eva Periche Tomas
- Institute of Education, University College London, London, England, United Kingdom
- MULTAC (Multilanguage and Cognition Lab), Institute of Education, University College London, London, England, United Kingdom
| | - Andriani Papageorgiou
- Institute of Education, University College London, London, England, United Kingdom
- MULTAC (Multilanguage and Cognition Lab), Institute of Education, University College London, London, England, United Kingdom
| | - Peter Bright
- MULTAC (Multilanguage and Cognition Lab), Institute of Education, University College London, London, England, United Kingdom
- Anglia Ruskin University, Cambridge, England, United Kingdom
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28
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Neuroanatomic Correlates for the Neuropsychological Manifestations of Chiari Malformation Type I. World Neurosurg 2020; 136:462-469. [PMID: 32204298 DOI: 10.1016/j.wneu.2020.01.149] [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: 09/30/2019] [Accepted: 01/15/2020] [Indexed: 01/13/2023]
Abstract
Chiari malformation comprises a spectrum of congenital malformations characterized by a herniation of the cerebellar tonsils below the foramen magnum. Chiari malformation type I (CM-I) is the most prevalent subtype seen in clinical practice. This condition variably compresses the cerebellum and medulla-spinal cord junction secondary to malformation of the posterior fossa. Most neurologists and neurosurgeons recognize the sensorimotor and lower brainstem manifestations that result in the clinical picture of CM-I. The effects of CM-I on cognitive functioning, however, and their impact on neuropsychological performance are poorly understood, despite having long been recognized. This article reviews neuropsychological deficits demonstrated by individuals with CM-I, and explores cerebellocortical neuroanatomic pathways to provide possible rationale for the neurocognitive impairments present in affected individuals.
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29
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Lee MH, O'Hara NB, Behen ME, Jeong JW. Altered efficiency of white matter connections for language function in children with language disorder. BRAIN AND LANGUAGE 2020; 203:104743. [PMID: 32004807 PMCID: PMC9022213 DOI: 10.1016/j.bandl.2020.104743] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 12/05/2019] [Accepted: 01/08/2020] [Indexed: 06/10/2023]
Abstract
To characterize structural white matter substrates associated with language functions in children with language disorders (LD), a psychometry-driven diffusion tractography network was investigated with canonical correlation analysis (CCA), which can reliably predict expressive and receptive language scores from the nodal efficiency (NE) of the obtained network. The CCA found that the NE values of six regions: left inferior-frontal-opercular, left insular, left angular gyrus, left superior-temporal-gyrus, right hippocampus, and right cerebellar-lobule were highly correlated with language scores (ρexpressive/ρreceptive = 0.609/0.528), yielding significant differentiation of LD from controls using new imaging predictors uexpressive (F = 15.024, p = .0003) and ureceptive (F = 7.421, p = .009). This study demonstrates the utility of intrinsic language network analyses in distinguishing and potentially subtyping the type and severity of language deficit, especially in very young children (≤3 years) with LD. The use of structural imaging to identify children with persisting language disorder could prove useful in understanding the etiology of language disorder.
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Affiliation(s)
- Min-Hee Lee
- Translational Imaging Laboratory, Children's Hospital of Michigan, Detroit, MI, USA; Carman and Ann Adams Department of Pediatrics, Wayne State University School of Medicine, Detroit, MI, USA
| | - Nolan B O'Hara
- Translational Imaging Laboratory, Children's Hospital of Michigan, Detroit, MI, USA; Translational Neuroscience Program, Wayne State University School of Medicine, Detroit, MI, USA
| | - Michael E Behen
- Translational Imaging Laboratory, Children's Hospital of Michigan, Detroit, MI, USA; Carman and Ann Adams Department of Pediatrics, Wayne State University School of Medicine, Detroit, MI, USA; Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Jeong-Won Jeong
- Translational Imaging Laboratory, Children's Hospital of Michigan, Detroit, MI, USA; Carman and Ann Adams Department of Pediatrics, Wayne State University School of Medicine, Detroit, MI, USA; Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA; Translational Neuroscience Program, Wayne State University School of Medicine, Detroit, MI, USA.
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30
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Bernard Paulais MA, Mazetto C, Thiébaut E, Nassif MC, Costa Coelho De Souza MT, Stefani AP, Blanc R, Gattegno MP, Aïad F, Sam N, Belal L, Fekih L, Kaye K, Contejean Y, Wendland J, Barthélémy C, Bonnet-Brilhault F, Adrien JL. Heterogeneities in Cognitive and Socio-Emotional Development in Children With Autism Spectrum Disorder and Severe Intellectual Disability as a Comorbidity. Front Psychiatry 2019; 10:508. [PMID: 31396112 PMCID: PMC6662559 DOI: 10.3389/fpsyt.2019.00508] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 06/27/2019] [Indexed: 11/13/2022] Open
Abstract
Introduction: Intellectual disability (ID) is frequently associated as a comorbidity in autism spectrum disorders (ASD). This study investigated a) how similar the heterogeneity in the cognitive and socio-emotional developmental profiles was for children with ASD and ID, b) the difference between the subjects' profiles and those of typically developing children (TD) matched for developmental levels, c) the skills existing with the lowest and highest developmental levels, and d) the relationship between developmental profiles in ASD and the severity of autism, ID, and the overall developmental level. Participants: The sample was comprised of 119 children (101 boys and 18 girls) who ranged in chronological age (CA) from 21 months to 14 years (M = 5 years 2 months; SD = 2 years 6 months) with developmental levels lower than 24 months. They came from three countries (France = 40, Brazil = 40, and Algeria = 39). The control group was comprised of 40 TD children from these same countries who ranged in CA from 4 to 24 months (M = 1 year 3 months; SD = 5 months). The ASD diagnosis was carried out according to International Statistical Classification of Diseases and Related Health Problems-10th Edition (ICD-10), Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, Text Revision (DSM-IV-TR), Diagnostic and Statistical Manual of Mental Disorders-5th ed (DSM-5) criteria and the Childhood Autism Rating Scale (CARS). Measures: Children were tested using the Social Cognitive Evaluation Battery (SCEB; Adrien, 2007) by trained psychologists from public and private institutions specialized in the diagnosis of autism and interventions in this field. The SCEB explores 16 functional abilities, in both cognitive and socio-emotional areas, and allows the calculation of domain and area developmental levels and heterogeneity indices for the global, cognitive, and socio-emotional areas. Results: Children with ASD developmental profiles show very high heterogeneity as opposed to TD children. Regardless of the country of origin, there are similarities between the heterogeneous cognitive and socio-emotional developmental profiles of the children with ASD, whose profiles are characterized by lower developmental levels of language and vocal imitation skills, and a relationship between these developmental heterogeneities and the degree of severity of autistic symptomatology, intellectual disability, and overall development level. The implications of this study are presented for clinical assessment and intervention purposes in ASD and ID.
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Affiliation(s)
- Marie-Anna Bernard Paulais
- Laboratory of Psychopathology and Health Processes (EA n°4057), Institute of Psychology, University of Paris, Paris, France.,Psychology Office ESPAS-IDDEES, Pont-Ste-Maxence and Bordeaux, France
| | - Camilla Mazetto
- Laboratory of Psychopathology and Health Processes (EA n°4057), Institute of Psychology, University of Paris, Paris, France.,CARI Psichology and Education, São Paulo, Brazil.,Institute of Psychology, University of São Paulo, São Paulo, Brazil
| | - Eric Thiébaut
- Lorrain Laboratory of Psychology and Neurosciences of Behaviors' Dynamics (2LPN), University of Lorraine, Nancy, France
| | | | | | | | - Romuald Blanc
- Laboratory of Psychopathology and Health Processes (EA n°4057), Institute of Psychology, University of Paris, Paris, France.,UMR 1253, iBrain, University of Tours, INSERM, Tours, France
| | - Maria Pilar Gattegno
- Laboratory of Psychopathology and Health Processes (EA n°4057), Institute of Psychology, University of Paris, Paris, France.,Psychology Office ESPAS-IDDEES, Bordeaux, France
| | - Fethia Aïad
- Language, Cognition and Interaction Laboratory, University of Blida 2 Lounici Ali, Blida, Algeria
| | - Nadia Sam
- Language, Cognition and Interaction Laboratory, University of Blida 2 Lounici Ali, Blida, Algeria
| | - Lina Belal
- Faculty of Social and Human Sciences, University Abdelhamid Ibn Badis, Mostaganem, Algeria
| | - Laid Fekih
- Laboratory of Psychometric and Its Applications, University Abou Beker Belkaid, Tlemcen, Algeria
| | - Kelley Kaye
- Child Psychiatry Department of Sainte Anne Hospital, CREDAT, Paris, France
| | - Yves Contejean
- Child Psychiatry Department of Sainte Anne Hospital, CREDAT, Paris, France
| | - Jaqueline Wendland
- Laboratory of Psychopathology and Health Processes (EA n°4057), Institute of Psychology, University of Paris, Paris, France
| | | | | | - Jean-Louis Adrien
- Laboratory of Psychopathology and Health Processes (EA n°4057), Institute of Psychology, University of Paris, Paris, France
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31
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Wang W, Liu J, Shi S, Liu T, Ma L, Ma X, Tian J, Gong Q, Wang M. Altered Resting-State Functional Activity in Patients With Autism Spectrum Disorder: A Quantitative Meta-Analysis. Front Neurol 2018; 9:556. [PMID: 30087648 PMCID: PMC6066523 DOI: 10.3389/fneur.2018.00556] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 06/20/2018] [Indexed: 02/05/2023] Open
Abstract
Background: There is accumulating evidence showing that patients with autism spectrum disorder (ASD) have obvious changes in resting-state functional brain activity. So far, there have been no meta-analyses of the resting-state brain activity alterations in patients with ASD. We attempted to explore the resting-state functional activity changes in patients with ASD, possibly providing a new perspective for investigating the pathophysiology of patients with ASD. Methods: We screened relevant studies published before August 2017 in PubMed, Ovid, Web of Science, China National Knowledge Infrastructure (CNKI), and the Wan-fang database. Fifteen resting-state functional neural activity datasets (including 382 patients and 348 healthy controls) were included. Through the use of the effect-size signed differential mapping (ES-SDM) method, we carried out a meta-analysis of resting-state functional activity studies of patients with ASD. Results: Compared with healthy controls, patients with ASD showed hyperactivity in the right supplementary motor area, middle frontal gyrus, inferior frontal gyrus, the left precentral gyrus, and the bilateral cerebellum hemispheric lobule (VIII/IX), and hypoactivity in the right middle temporal gyrus, superior temporal gyrus, and the left precuneus, posterior cingulate cortex, median cingulate cortex, and bilateral cerebellum (crus I). Conclusion: This meta-analysis indicates that patients with ASD have significant and robust resting-state brain activity alterations in the language comprehension network, inferior-posterior cerebellum, default mode network (DMN), and cerebellar crus I. These brain regions may serve as specific regions of interest for further studies of ASD, which will allow us to further clarify the neurobiological mechanisms in patients with ASD.
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Affiliation(s)
- Wenhui Wang
- Department of Radiology, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
| | - Jia Liu
- Department of Radiology, Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shaojie Shi
- Department of Radiology, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
| | - Taiyuan Liu
- Department of Radiology, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
| | - Lun Ma
- Department of Radiology, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
| | - Xiaoyue Ma
- Department of Radiology, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
| | - Jie Tian
- School of Life Science and Technology, Xidian University, Xi'an, China.,Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Qiyong Gong
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Meiyun Wang
- Department of Radiology, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
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32
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Andescavage NN, du Plessis A, McCarter R, Serag A, Evangelou I, Vezina G, Robertson R, Limperopoulos C. Complex Trajectories of Brain Development in the Healthy Human Fetus. Cereb Cortex 2018; 27:5274-5283. [PMID: 27799276 DOI: 10.1093/cercor/bhw306] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Accepted: 09/10/2016] [Indexed: 11/13/2022] Open
Abstract
This study characterizes global and hemispheric brain growth in healthy human fetuses during the second half of pregnancy using three-dimensional MRI techniques. We studied 166 healthy fetuses that underwent MRI between 18 and 39 completed weeks gestation. We created three-dimensional high-resolution reconstructions of the brain and calculated volumes for left and right cortical gray matter (CGM), fetal white matter (FWM), deep subcortical structures (DSS), and the cerebellum. We calculated the rate of growth for each tissue class according to gestational age and described patterns of hemispheric growth. Each brain region demonstrated major increases in volume during the second half of gestation, the most pronounced being the cerebellum (34-fold), followed by FWM (22-fold), CGM (21-fold), and DSS (10-fold). The left cerebellar hemisphere, CGM, and DSS had larger volumes early in gestation, but these equalized by term. It has been increasingly recognized that brain asymmetry evolves throughout the human life span. Advanced quantitative MRI provides noninvasive measurements of early structural asymmetry between the left and right fetal brain that may inform functional and behavioral laterality differences seen in children and young adulthood.
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Affiliation(s)
- Nickie N Andescavage
- Division of Neonatology, Children's National Health System, Washington, DC 20010, USA.,Department of Pediatrics, George Washington University School of Medicine, Washington, DC 20052, USA
| | - Adre du Plessis
- Department of Pediatrics, George Washington University School of Medicine, Washington, DC 20052, USA.,Division of Fetal and Translational Medicine, Children's National Health System, Washington, DC 20010, USA
| | - Robert McCarter
- Division of Biostatistics and Informatics, Children's National Health System, Washington, DC 20010, USA
| | - Ahmed Serag
- Division of Diagnostic Imaging and Radiology, Children's National Health System, Washington, DC 20010, USA
| | - Iordanis Evangelou
- Division of Diagnostic Imaging and Radiology, Children's National Health System, Washington, DC 20010, USA
| | - Gilbert Vezina
- Division of Diagnostic Imaging and Radiology, Children's National Health System, Washington, DC 20010, USA.,Department of Radiology, George Washington University School of Medicine, Washington, DC 20052, USA
| | - Richard Robertson
- Department of Radiology, Children's Hospital Boston, Boston, MA 02115, USA.,Department of Radiology, Harvard Medical School, Cambridge, MA 02115, USA
| | - Catherine Limperopoulos
- Division of Fetal and Translational Medicine, Children's National Health System, Washington, DC 20010, USA.,Division of Diagnostic Imaging and Radiology, Children's National Health System, Washington, DC 20010, USA.,Department of Radiology, George Washington University School of Medicine, Washington, DC 20052, USA
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33
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Traut N, Beggiato A, Bourgeron T, Delorme R, Rondi-Reig L, Paradis AL, Toro R. Cerebellar Volume in Autism: Literature Meta-analysis and Analysis of the Autism Brain Imaging Data Exchange Cohort. Biol Psychiatry 2018; 83:579-588. [PMID: 29146048 DOI: 10.1016/j.biopsych.2017.09.029] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Revised: 09/13/2017] [Accepted: 09/27/2017] [Indexed: 11/24/2022]
Abstract
BACKGROUND The neuroanatomical bases of autism spectrum disorder remain largely unknown. Among the most widely discussed candidate endophenotypes, differences in cerebellar volume have been often reported as statistically significant. METHODS We aimed at objectifying this possible alteration by performing a systematic meta-analysis of the literature and an analysis of the ABIDE (Autism Brain Imaging Data Exchange) cohort. Our meta-analysis sought to determine a combined effect size of autism spectrum disorder diagnosis on different measures of the cerebellar anatomy as well as the effect of possible factors of variability across studies. We then analyzed the cerebellar volume of 328 patients and 353 control subjects from the ABIDE project. RESULTS The meta-analysis of the literature suggested a weak but significant association between autism spectrum disorder diagnosis and increased cerebellar volume (p = .049, uncorrected), but the analysis of ABIDE did not show any relationship. The studies meta-analyzed were generally underpowered; however, the number of statistically significant findings was larger than expected. CONCLUSIONS Although we could not provide a conclusive explanation for this excess of significant findings, our analyses would suggest publication bias as a possible reason. Finally, age, sex, and IQ were important sources of cerebellar volume variability, although independent of autism diagnosis.
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Affiliation(s)
- Nicolas Traut
- Unité de Génétique Humaine et Fonctions Cognitives, Département de Neuroscience, Institut Pasteur, Paris, France; Neuroscience Paris Seine, Institut de Biologie Paris Seine, Centre National de la Recherche Scientifique, Institut National de la Santé et de la Recherche Médicale, Université Pierre et Marie Curie, Sorbonne Universités, Paris, France; Genes, Synapses and Cognition, Unité Mixte de Recherche 3571, Centre National de la Recherche Scientifique, Institut Pasteur, Paris, France; Human Genetics and Cognitive Functions, University Paris Diderot, Sorbonne Paris Cité, Paris, France.
| | - Anita Beggiato
- Unité de Génétique Humaine et Fonctions Cognitives, Département de Neuroscience, Institut Pasteur, Paris, France; Département de Psychiatrie de l'Enfant et de l'Adolescent, Hôpital Robert Debré, L'Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Thomas Bourgeron
- Unité de Génétique Humaine et Fonctions Cognitives, Département de Neuroscience, Institut Pasteur, Paris, France; Genes, Synapses and Cognition, Unité Mixte de Recherche 3571, Centre National de la Recherche Scientifique, Institut Pasteur, Paris, France; Human Genetics and Cognitive Functions, University Paris Diderot, Sorbonne Paris Cité, Paris, France; Foundation Fondamentale, Créteil, France
| | - Richard Delorme
- Unité de Génétique Humaine et Fonctions Cognitives, Département de Neuroscience, Institut Pasteur, Paris, France; Département de Psychiatrie de l'Enfant et de l'Adolescent, Hôpital Robert Debré, L'Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Laure Rondi-Reig
- Neuroscience Paris Seine, Institut de Biologie Paris Seine, Centre National de la Recherche Scientifique, Institut National de la Santé et de la Recherche Médicale, Université Pierre et Marie Curie, Sorbonne Universités, Paris, France
| | - Anne-Lise Paradis
- Neuroscience Paris Seine, Institut de Biologie Paris Seine, Centre National de la Recherche Scientifique, Institut National de la Santé et de la Recherche Médicale, Université Pierre et Marie Curie, Sorbonne Universités, Paris, France
| | - Roberto Toro
- Unité de Génétique Humaine et Fonctions Cognitives, Département de Neuroscience, Institut Pasteur, Paris, France; Genes, Synapses and Cognition, Unité Mixte de Recherche 3571, Centre National de la Recherche Scientifique, Institut Pasteur, Paris, France; Human Genetics and Cognitive Functions, University Paris Diderot, Sorbonne Paris Cité, Paris, France.
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Medial Frontal Lobe Neurochemistry in Autism Spectrum Disorder is Marked by Reduced N-Acetylaspartate and Unchanged Gamma-Aminobutyric Acid and Glutamate + Glutamine Levels. J Autism Dev Disord 2017; 48:1467-1482. [PMID: 29177616 DOI: 10.1007/s10803-017-3406-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Abstract
In this review, we present the growing literature suggesting, from a variety of angles, that the cerebellum contributes to higher-order cognitive functions, rather than simply sensorimotor functions, and more specifically to language and its development. The cerebellum's association with language function is determined by the specific cortico-cerebellar connectivity to the right cerebellum from the left cortical hemisphere. The findings we review suggest that the cerebellum plays an important role as part of a broader language network, and also implies that the cerebellum may be a potential new therapeutic target to treat speech and language deficits, especially during development.
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Affiliation(s)
- Carolina Vias
- a Department of Psychology , Florida International University , Miami , Florida
| | - Anthony Steven Dick
- a Department of Psychology , Florida International University , Miami , Florida
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Elevated Levels of Atypical Handedness in Autism: Meta-Analyses. Neuropsychol Rev 2017; 27:258-283. [DOI: 10.1007/s11065-017-9354-4] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Accepted: 06/20/2017] [Indexed: 12/22/2022]
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Shimbo H, Yokoi T, Aida N, Mizuno S, Suzumura H, Nagai J, Ida K, Enomoto Y, Hatano C, Kurosawa K. Haploinsufficiency of BCL11A associated with cerebellar abnormalities in 2p15p16.1 deletion syndrome. Mol Genet Genomic Med 2017; 5:429-437. [PMID: 28717667 PMCID: PMC5511803 DOI: 10.1002/mgg3.289] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Revised: 03/01/2017] [Accepted: 03/03/2017] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Chromosome 2p15p16.1 deletion syndrome is a rare genetic disorder characterized by intellectual disability (ID), neurodevelopmental delay, language delay, growth retardation, microcephaly, structural brain abnormalities, and dysmorphic features. More than 30 patients with 2p15p16.1 microdeletion syndrome have been reported in the literature. METHODS Molecular analysis was performed using microarray-based comparative genomic hybridization (array CGH). Clinical characteristics and brain magnetic resonance imaging features of these patients were also reviewed. RESULTS We identified four patients with ID, neurodevelopmental delay, brain malformations, and dysmorphic features; two patients with 2p15p16.1 deletions (3.24 Mb, 5.04 Mb), one patient with 2p16.1 deletion (1.12 Mb), and one patient with 2p14p16.1 deletion (5.12 Mb). Three patients with 2p15p16.1 deletions or 2p16.1 deletions encompassing BCL11A,PAPOLG, and REL showed hypoplasia of the pons and cerebellum. The patient with 2p14p16.1 deletion, which did not include three genes showed normal size and shape of the cerebellar hemispheres and pons. CONCLUSION The zinc finger transcription factor BCL11A associated with the BAF chromatin remodeling complex has been identified to be critical for neural development and BCL11A haploinsufficiency is closely related to cerebellar abnormalities.
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Affiliation(s)
- Hiroko Shimbo
- Clinical Research InstituteKanagawa Children's Medical CenterYokohamaJapan
| | - Takayuki Yokoi
- Division of Medical GeneticsKanagawa Children's Medical CenterYokohamaJapan
| | - Noriko Aida
- Division of RadiologyKanagawa Children's Medical CenterYokohamaJapan
| | - Seiji Mizuno
- Department of PediatricsAichi Human Service CenterCentral HospitalKasugaiJapan
| | - Hiroshi Suzumura
- Department of PediatricsDokkyo Medical University School of MedicineTochigiJapan
| | - Junichi Nagai
- Laboratory MedicineKanagawa Children's Medical CenterYokohamaJapan
| | - Kazumi Ida
- Division of Medical GeneticsKanagawa Children's Medical CenterYokohamaJapan
| | - Yumi Enomoto
- Clinical Research InstituteKanagawa Children's Medical CenterYokohamaJapan
| | - Chihiro Hatano
- Division of Medical GeneticsKanagawa Children's Medical CenterYokohamaJapan
| | - Kenji Kurosawa
- Division of Medical GeneticsKanagawa Children's Medical CenterYokohamaJapan
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Löwgren K, Bååth R, Rasmussen A, Boele HJ, Koekkoek SKE, De Zeeuw CI, Hesslow G. Performance in eyeblink conditioning is age and sex dependent. PLoS One 2017; 12:e0177849. [PMID: 28542383 PMCID: PMC5436819 DOI: 10.1371/journal.pone.0177849] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2017] [Accepted: 05/04/2017] [Indexed: 01/18/2023] Open
Abstract
A growing body of evidence suggests that the cerebellum is involved in both cognition and language. Abnormal cerebellar development may contribute to neurodevelopmental disorders such as attention deficit hyperactivity disorder (ADHD), autism, fetal alcohol syndrome, dyslexia, and specific language impairment. Performance in eyeblink conditioning, which depends on the cerebellum, can potentially be used to clarify the neural mechanisms underlying the cerebellar dysfunction in disorders like these. However, we must first understand how the performance develops in children who do not have a disorder. In this study we assessed the performance in eyeblink conditioning in 42 typically developing children between 6 and 11 years old as well as in 26 adults. Older children produced more conditioned eyeblink responses than younger children and adults produced more than children. In addition, females produced more conditioned eyeblink responses than males among both children and adults. These results highlight the importance of considering the influence of age and sex on the performance when studying eyeblink conditioning as a measure of cerebellar development.
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Affiliation(s)
- Karolina Löwgren
- Department of Clinical Sciences, Lund University, Lund, Sweden
- * E-mail:
| | - Rasmus Bååth
- Department of Philosophy, Cognitive Science, Lund University, Lund, Sweden
| | - Anders Rasmussen
- Department of Neuroscience, Erasmus Medical Center, Rotterdam, Netherlands
| | - Henk-Jan Boele
- Department of Neuroscience, Erasmus Medical Center, Rotterdam, Netherlands
| | | | - Chris I. De Zeeuw
- Department of Neuroscience, Erasmus Medical Center, Rotterdam, Netherlands
- Netherlands Institute for Neuroscience, Royal Academy of Arts and Sciences, Amsterdam, Netherlands
| | - Germund Hesslow
- Department of Experimental Medical Science, Lund University, Lund, Sweden
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Wang Z, Dai Z, Shu H, Liao X, Yue C, Liu D, Guo Q, He Y, Zhang Z. APOE Genotype Effects on Intrinsic Brain Network Connectivity in Patients with Amnestic Mild Cognitive Impairment. Sci Rep 2017; 7:397. [PMID: 28341847 PMCID: PMC5428452 DOI: 10.1038/s41598-017-00432-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Accepted: 02/20/2017] [Indexed: 12/03/2022] Open
Abstract
Whether and how the apolipoprotein E (APOE) ε4 genotype specifically modulates brain network connectivity in patients with amnestic mild cognitive impairment (aMCI) remain largely unknown. Here, we employed resting-state (‘task-free’) functional MRI and network centrality approaches to investigate local (degree centrality, DC) and global (eigenvector centrality, EC) functional integrity in the whole-brain connectome in 156 older adults, including 66 aMCI patients (27 ε4-carriers and 39 non-carriers) and 90 healthy controls (45 ε4-carriers and 45 non-carriers). We observed diagnosis-by-genotype interactions on DC in the left superior/middle frontal gyrus, right middle temporal gyrus and cerebellum, with higher values in the ε4-carriers than non-carriers in the aMCI group. We further observed diagnosis-by-genotype interactions on EC, with higher values in the right middle temporal gyrus but lower values in the medial parts of default-mode network in the ε4-carriers than non-carriers in the aMCI group. Notably, these genotype differences in DC or EC were absent in the control group. Finally, the network connectivity DC values were negatively correlated with cognitive performance in the aMCI ε4-carriers. Our findings suggest that the APOE genotype selectively modulates the functional integration of brain networks in patients with aMCI, thus providing important insight into the gene-connectome interaction in this disease.
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Affiliation(s)
- Zan Wang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China
| | - Zhengjia Dai
- Department of Psychology, Sun Yat-sen University, Guangzhou, 510006, China.,State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Hao Shu
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China
| | - Xuhong Liao
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Chunxian Yue
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China
| | - Duan Liu
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China
| | - Qihao Guo
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Yong He
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
| | - Zhijun Zhang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China.
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Ishihara MK, Tamanaha AC, Perissinoto J. Comprehension of ambiguity for children with Specific Language Impairment and Autism Spectrum Disorder. Codas 2016; 28:753-757. [PMID: 27982253 DOI: 10.1590/2317-1782/20162015260] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2015] [Accepted: 11/26/2015] [Indexed: 11/22/2022] Open
Abstract
PURPOSE To verify and compare the performance of children and adolescents with Specific Language Impairment (SLI) and Autism Spectrum Disorder (ASD) using a formal, standardized test that assesses language competence, more specifically comprehension of ambiguity. METHODS The sample comprised 19 individuals aged 6 to 14 years, of both genders, divided into two groups: ASD Group (9) and SLI Group (10). Participants were assessed using the Test of Language Competence - TLC; Ambiguous Sentences subtest (Wiig, Secord, 1989). Analysis included the comparison of the total scores in both groups. RESULTS We found significant difference between the groups, with better performance of the SLI Group compared with that of the ASD Group. CONCLUSION It was possible to analyze and compare the performance of both groups in a metalinguistic activity. We observed better performance of the SLI group compared with that of the ASD Group in the interpretation of ambiguous information.
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Affiliation(s)
| | | | - Jacy Perissinoto
- Universidade Federal de São Paulo - UNIFESP - São Paulo (SP), Brasil
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41
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Cognitive Load Differentially Impacts Response Control in Girls and Boys with ADHD. JOURNAL OF ABNORMAL CHILD PSYCHOLOGY 2016; 44:141-54. [PMID: 25624066 DOI: 10.1007/s10802-015-9976-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Children with attention-deficit hyperactivity disorder (ADHD) consistently show impaired response control, including deficits in response inhibition and increased intrasubject variability (ISV) compared to typically-developing (TD) children. However, significantly less research has examined factors that may influence response control in individuals with ADHD, such as task or participant characteristics. The current study extends the literature by examining the impact of increasing cognitive demands on response control in a large sample of 81children with ADHD (40 girls) and 100 TD children (47 girls), ages 8-12 years. Participants completed a simple Go/No-Go (GNG) task with minimal cognitive demands, and a complex GNG task with increased cognitive load. Results showed that increasing cognitive load differentially impacted response control (commission error rate and tau, an ex-Gaussian measure of ISV) for girls, but not boys, with ADHD compared to same-sex TD children. Specifically, a sexually dimorphic pattern emerged such that boys with ADHD demonstrated higher commission error rate and tau on both the simple and complex GNG tasks as compared to TD boys, whereas girls with ADHD did not differ from TD girls on the simple GNG task, but showed higher commission error rate and tau on the complex GNG task. These findings suggest that task complexity influences response control in children with ADHD in a sexually dimorphic manner. The findings have substantive implications for the pathophysiology of ADHD in boys versus girls with ADHD.
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Kavaklioglu T, Guadalupe T, Zwiers M, Marquand AF, Onnink M, Shumskaya E, Brunner H, Fernandez G, Fisher SE, Francks C. Structural asymmetries of the human cerebellum in relation to cerebral cortical asymmetries and handedness. Brain Struct Funct 2016; 222:1611-1623. [PMID: 27566607 PMCID: PMC5326706 DOI: 10.1007/s00429-016-1295-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Accepted: 08/22/2016] [Indexed: 11/26/2022]
Abstract
There is evidence that the human cerebellum is involved not only in motor control but also in other cognitive functions. Several studies have shown that language-related activation is lateralized toward the right cerebellar hemisphere in most people, in accordance with leftward cerebral cortical lateralization for language and a general contralaterality of cerebral–cerebellar activations. In terms of behavior, hand use elicits asymmetrical activation in the cerebellum, while hand preference is weakly associated with language lateralization. However, it is not known how, or whether, these functional relations are reflected in anatomy. We investigated volumetric gray matter asymmetries of cerebellar lobules in an MRI data set comprising 2226 subjects. We tested these cerebellar asymmetries for associations with handedness, and for correlations with cerebral cortical anatomical asymmetries of regions important for language or hand motor control, as defined by two different automated image analysis methods and brain atlases, and supplemented with extensive visual quality control. No significant associations of cerebellar asymmetries to handedness were found. Some significant associations of cerebellar lobular asymmetries to cerebral cortical asymmetries were found, but none of these correlations were greater than 0.14, and they were mostly method-/atlas-dependent. On the basis of this large and highly powered study, we conclude that there is no overt structural manifestation of cerebellar functional lateralization and connectivity, in respect of hand motor control or language laterality.
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Affiliation(s)
- Tulya Kavaklioglu
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- International Max Planck Research School for Language Sciences, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Tulio Guadalupe
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- International Max Planck Research School for Language Sciences, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Marcel Zwiers
- Donders Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Andre F Marquand
- Donders Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
- Department of Neuroimaging, Center for Neuroimaging Sciences, Institute of Psychiatry, King's College London, London, UK
| | - Marten Onnink
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Elena Shumskaya
- Donders Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Han Brunner
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Guillen Fernandez
- Donders Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University, 6500, Nijmegen, The Netherlands
| | - Clyde Francks
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
- Donders Institute for Brain, Cognition and Behavior, Radboud University, 6500, Nijmegen, The Netherlands.
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Miall RC, Antony J, Goldsmith-Sumner A, Harding SR, McGovern C, Winter JL. Modulation of linguistic prediction by TDCS of the right lateral cerebellum. Neuropsychologia 2016; 86:103-9. [PMID: 27126840 PMCID: PMC4907126 DOI: 10.1016/j.neuropsychologia.2016.04.022] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Revised: 04/04/2016] [Accepted: 04/23/2016] [Indexed: 02/02/2023]
Abstract
It has been postulated recently that the cerebellum contributes the same prediction and learning functions to linguistic processing as it does towards motor control. For example, repetitive TMS over posterior-lateral cerebellum caused a significant loss in predictive language processing, as assessed by the latency of saccades to target items of spoken sentences, using the Visual World task. We aimed to assess the polarity-specific effects of cerebellar TDCS, hypothesising that cathodal TDCS should impair linguistic prediction, and anodal TDCS facilitate it. Our design also tested whether TDCS modulated associative learning in this task. A between groups (sham, anodal, cathodal) design was used, with concurrent stimulation during performance of a manual variation of the Visual World paradigm, and with assessment of latency reduction over repeated presentations of the spoken sentences. Mixed model ANOVA was used to analyse change in response latency. Cathodal TDCS decreased participants' response time advantage for the predictable sentence items without change for non-predictable items, consistent with the previous TMS results. Furthermore, anodal stimulation enhanced the response time advantage for the predictable items, again without change in latencies for non-predictive items. We found a clear practice-based effect over 4 blocks. However, this difference was not significantly modulated by either anodal or cathodal stimulation. Our results therefore support the hypothesis that cerebellum contributes to predictive language processing, mirroring its predictive role in motor control, but we do not yet have evidence that the learning process was affected by cerebellar TDCS.
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Affiliation(s)
- R C Miall
- School of Psychology, University of Birmingham, Birmingham B15 2TT, UK.
| | - J Antony
- School of Psychology, University of Birmingham, Birmingham B15 2TT, UK
| | | | - S R Harding
- Institute of Neurology, UCL, London, WC1N 3AR
| | - C McGovern
- School of Psychology, University of Birmingham, Birmingham B15 2TT, UK
| | - J L Winter
- School of Psychology, University of Birmingham, Birmingham B15 2TT, UK
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Sawyer KS, Oscar-Berman M, Ruiz SM, Gálvez DA, Makris N, Harris GJ, Valera EM. Associations Between Cerebellar Subregional Morphometry and Alcoholism History in Men and Women. Alcohol Clin Exp Res 2016; 40:1262-72. [PMID: 27130832 PMCID: PMC4889497 DOI: 10.1111/acer.13074] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Accepted: 03/16/2016] [Indexed: 11/29/2022]
Abstract
BACKGROUND Alcoholism has been linked to deficits in cognitive, behavioral, and emotional functions, and the cerebellum is important for optimal functioning of these abilities. However, little is known about how individual differences such as gender and drinking history might influence regional cerebellar abnormalities. METHODS Volumetric analyses of the cerebellum and its subregions were performed in relation to the interaction of gender and measures of drinking history. Structural magnetic resonance imaging scans of 44 alcoholic individuals (23 men) and 39 nonalcoholic controls (18 men) were obtained. In addition to measuring total cerebellar gray and white matter volumes, we measured 64 individual cerebellar parcellation units, as well as functionally defined a priori regions of interest that have been shown to correspond to functions impaired in alcoholism. RESULTS Total cerebellar white matter volume was smaller in alcoholic relative to nonalcoholic participants. Moreover, volumes of parcellation units varied with drinking history, showing negative associations between years of heavy drinking and the anterior lobe, the vestibulocerebellar lobe, and the spinocerebellar subdivision. The negative association between anterior volume and years of heavy drinking was driven primarily by alcoholic men. Additionally, we observed larger white and gray matter volumes for alcoholic women than for alcoholic men. CONCLUSIONS The identification of drinking-related abnormalities in cerebellar subregions lays a foundation that can be utilized to inform how cerebro-cerebellar networks are perturbed in this pathological condition. These results also provide estimates of how gender and individual differences in drinking history can predict cerebellar volumes.
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Affiliation(s)
- Kayle S. Sawyer
- Ph.D. Program in Behavioral Neuroscience, Graduate Medical Sciences, Boston University School of Medicine, Boston, MA 02118, VA Boston Healthcare System, Boston, MA 02130
- VA Boston Healthcare System, Boston, MA 02130
- Athinoula A. Martinos Center, Massachusetts General Hospital, Boston, MA 02114
| | - Marlene Oscar-Berman
- Ph.D. Program in Behavioral Neuroscience, Graduate Medical Sciences, Boston University School of Medicine, Boston, MA 02118, VA Boston Healthcare System, Boston, MA 02130
- VA Boston Healthcare System, Boston, MA 02130
- Athinoula A. Martinos Center, Massachusetts General Hospital, Boston, MA 02114
- Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA 02118
- Departments of Psychiatry and Neurology, Boston University School of Medicine, Boston, MA 02118
| | - Susan Mosher Ruiz
- VA Boston Healthcare System, Boston, MA 02130
- Athinoula A. Martinos Center, Massachusetts General Hospital, Boston, MA 02114
- Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA 02118
| | - Daniel A. Gálvez
- College of Arts and Sciences, Boston University, Boston, MA 02215
| | - Nikos Makris
- Athinoula A. Martinos Center, Massachusetts General Hospital, Boston, MA 02114
- Center for Morphometric Analysis, Massachusetts General Hospital, Boston, MA 02114
- Harvard Medical School Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114
| | - Gordon J. Harris
- Athinoula A. Martinos Center, Massachusetts General Hospital, Boston, MA 02114
- Radiology Computer Aided Diagnostics Laboratory, Department of Radiology, Massachusetts General Hospital, Boston, MA 02114
- Harvard Medical School Department of Radiology, Massachusetts General Hospital, Boston, MA 02114
| | - Eve M. Valera
- Athinoula A. Martinos Center, Massachusetts General Hospital, Boston, MA 02114
- Harvard Medical School Department of Radiology, Massachusetts General Hospital, Boston, MA 02114
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Barahona-Corrêa JB, Filipe CN. A Concise History of Asperger Syndrome: The Short Reign of a Troublesome Diagnosis. Front Psychol 2016; 6:2024. [PMID: 26834663 PMCID: PMC4725185 DOI: 10.3389/fpsyg.2015.02024] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Accepted: 12/18/2015] [Indexed: 11/13/2022] Open
Abstract
First described in 1944 by Hans Asperger (1944), it was not before 1994 that Asperger Syndrome (AS) was included in the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders, only to disappear in the Manual's fifth edition in 2013. During its brief existence as a diagnostic entity, AS aroused immense interest and controversy. Similar to patients with autism, AS patients show deficits in social interaction, inappropriate communication skills, and interest restriction, but also display a rich variety of subtle clinical characteristics that for many distinguish AS from autism. However, difficulties operationalising diagnostic criteria and differentiating AS from autism ultimately led to its merging into the unifying category of Autistic Spectrum Disorders. Here we briefly review the short history of this fascinating condition.
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Affiliation(s)
- J. B. Barahona-Corrêa
- Department of Psychiatry and Mental Health, Nova Medical School/Faculdade de Ciências Médicas - Universidade Nova de LisboaLisbon, Portugal
- Neuropsychiatry Unit, Champalimaud Clinical Centre, Fundação ChampalimaudLisbon, Portugal
- Centro de Apoio ao Desenvolvimento Infantil – CADINCascais, Portugal
- Department of Psychiatry and Mental Health, Centro Hospitalar de Lisboa OcidentalLisbon, Portugal
| | - Carlos N. Filipe
- Department of Physiology, Nova Medical School/Faculdade de Ciências Médicas - Universidade Nova de LisboaLisbon, Portugal
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Eigsti IM, Stevens MC, Schultz RT, Barton M, Kelley E, Naigles L, Orinstein A, Troyb E, Fein DA. Language comprehension and brain function in individuals with an optimal outcome from autism. NEUROIMAGE-CLINICAL 2015; 10:182-91. [PMID: 26862477 PMCID: PMC4707189 DOI: 10.1016/j.nicl.2015.11.014] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2015] [Revised: 09/23/2015] [Accepted: 11/16/2015] [Indexed: 11/30/2022]
Abstract
Although Autism Spectrum Disorder (ASD) is generally a lifelong disability, a minority of individuals with ASD overcome their symptoms to such a degree that they are generally indistinguishable from their typically-developing peers. That is, they have achieved an Optimal Outcome (OO). The question addressed by the current study is whether this normalized behavior reflects normalized brain functioning, or alternatively, the action of compensatory systems. Either possibility is plausible, as most participants with OO received years of intensive therapy that could alter brain networks to align with typical function or work around ASD-related neural dysfunction. Individuals ages 8 to 21 years with high-functioning ASD (n = 23), OO (n = 16), or typical development (TD; n = 20) completed a functional MRI scan while performing a sentence comprehension task. Results indicated similar activations in frontal and temporal regions (left middle frontal, left supramarginal, and right superior temporal gyri) and posterior cingulate in OO and ASD groups, where both differed from the TD group. Furthermore, the OO group showed heightened “compensatory” activation in numerous left- and right-lateralized regions (left precentral/postcentral gyri, right precentral gyrus, left inferior parietal lobule, right supramarginal gyrus, left superior temporal/parahippocampal gyrus, left middle occipital gyrus) and cerebellum, relative to both ASD and TD groups. Behaviorally normalized language abilities in OO individuals appear to utilize atypical brain networks, with increased recruitment of language-specific as well as right homologue and other systems. Early intensive learning and experience may normalize behavioral language performance in OO, but some brain regions involved in language processing may continue to display characteristics that are more similar to ASD than typical development, while others show characteristics not like ASD or typical development. fMRI study of "optimal outcome" (OO) youth with no symptoms of autism spectrum disorder. Results show “compensatory” language activation in some areas in OO. OO youth also had some “residual ASD” patterns of activation (OO, ASD > TD). There was no evidence of areas of normalized brain function (OO, TD ≠ ASD). Early treatment may normalize behavior but not brain in some individuals with ASD.
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Affiliation(s)
- Inge-Marie Eigsti
- Department of Psychology, University of Connecticut, Storrs, CT, USA
| | | | - Robert T Schultz
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Marianne Barton
- Department of Psychology, University of Connecticut, Storrs, CT, USA
| | - Elizabeth Kelley
- Department of Psychology, Queen's University, Kingston, ON, Canada
| | - Letitia Naigles
- Department of Psychology, University of Connecticut, Storrs, CT, USA
| | - Alyssa Orinstein
- Department of Psychology, University of Connecticut, Storrs, CT, USA
| | - Eva Troyb
- Department of Psychology, University of Connecticut, Storrs, CT, USA
| | - Deborah A Fein
- Department of Psychology, University of Connecticut, Storrs, CT, USA; Department of Pediatrics, University of Connecticut, Farmington, CT, USA
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D'Mello AM, Stoodley CJ. Cerebro-cerebellar circuits in autism spectrum disorder. Front Neurosci 2015; 9:408. [PMID: 26594140 PMCID: PMC4633503 DOI: 10.3389/fnins.2015.00408] [Citation(s) in RCA: 184] [Impact Index Per Article: 20.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Accepted: 10/12/2015] [Indexed: 12/30/2022] Open
Abstract
The cerebellum is one of the most consistent sites of abnormality in autism spectrum disorder (ASD) and cerebellar damage is associated with an increased risk of ASD symptoms, suggesting that cerebellar dysfunction may play a crucial role in the etiology of ASD. The cerebellum forms multiple closed-loop circuits with cerebral cortical regions that underpin movement, language, and social processing. Through these circuits, cerebellar dysfunction could impact the core ASD symptoms of social and communication deficits and repetitive and stereotyped behaviors. The emerging topography of sensorimotor, cognitive, and affective subregions in the cerebellum provides a new framework for interpreting the significance of regional cerebellar findings in ASD and their relationship to broader cerebro-cerebellar circuits. Further, recent research supports the idea that the integrity of cerebro-cerebellar loops might be important for early cortical development; disruptions in specific cerebro-cerebellar loops in ASD might impede the specialization of cortical regions involved in motor control, language, and social interaction, leading to impairments in these domains. Consistent with this concept, structural, and functional differences in sensorimotor regions of the cerebellum and sensorimotor cerebro-cerebellar circuits are associated with deficits in motor control and increased repetitive and stereotyped behaviors in ASD. Further, communication and social impairments are associated with atypical activation and structure in cerebro-cerebellar loops underpinning language and social cognition. Finally, there is converging evidence from structural, functional, and connectivity neuroimaging studies that cerebellar right Crus I/II abnormalities are related to more severe ASD impairments in all domains. We propose that cerebellar abnormalities may disrupt optimization of both structure and function in specific cerebro-cerebellar circuits in ASD.
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Affiliation(s)
- Anila M D'Mello
- Department of Psychology, American University Washington DC, USA ; Center for Behavioral Neuroscience, American University Washington DC, USA
| | - Catherine J Stoodley
- Department of Psychology, American University Washington DC, USA ; Center for Behavioral Neuroscience, American University Washington DC, USA
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Tamboer P, Scholte HS, Vorst HCM. Dyslexia and voxel-based morphometry: correlations between five behavioural measures of dyslexia and gray and white matter volumes. ANNALS OF DYSLEXIA 2015; 65:121-141. [PMID: 25908528 PMCID: PMC4565889 DOI: 10.1007/s11881-015-0102-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2014] [Accepted: 03/04/2015] [Indexed: 05/29/2023]
Abstract
In voxel-based morphometry studies of dyslexia, the relation between causal theories of dyslexia and gray matter (GM) and white matter (WM) volume alterations is still under debate. Some alterations are consistently reported, but others failed to reach significance. We investigated GM alterations in a large sample of Dutch students (37 dyslexics and 57 non-dyslexics) with two analyses: group differences in local GM and total GM and WM volume and correlations between GM and WM volumes and five behavioural measures. We found no significant group differences after corrections for multiple comparisons although total WM volume was lower in the group of dyslexics when age was partialled out. We presented an overview of uncorrected clusters of voxels (p < 0.05, cluster size k > 200) with reduced or increased GM volume. We found four significant correlations between factors of dyslexia representing various behavioural measures and the clusters found in the first analysis. In the whole sample, a factor related to performances in spelling correlated negatively with GM volume in the left posterior cerebellum. Within the group of dyslexics, a factor related to performances in Dutch-English rhyme words correlated positively with GM volume in the left and right caudate nucleus and negatively with increased total WM volume. Most of our findings were in accordance with previous reports. A relatively new finding was the involvement of the caudate nucleus. We confirmed the multiple cognitive nature of dyslexia and suggested that experience greatly influences anatomical alterations depending on various subtypes of dyslexia, especially in a student sample.
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Affiliation(s)
- Peter Tamboer
- Department of Psychology, Faculty of Social and Behavioural Sciences, University of Amsterdam, Amsterdam, The Netherlands.
- , Weesperplein 4, Room 218, 1018XA, Amsterdam, The Netherlands.
- , Overtoom 247B, 1054HW, Amsterdam, The Netherlands.
| | - H Steven Scholte
- Department of Psychology, Faculty of Social and Behavioural Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Harrie C M Vorst
- Department of Psychology, Faculty of Social and Behavioural Sciences, University of Amsterdam, Amsterdam, The Netherlands
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Abstract
INTRODUCTION Cerebellar mutism (CM) is defined as a peculiar form of mutism that may complicate the surgical excision of posterior cranial fossa tumor. The incidence is variable in the literature, occurring in up to one third of cases in some series. Commonly occurring peculiar features of CM are delayed onset following surgery, limited duration, and spontaneous recovery usually associated with dysarthria. METHODS A review has been performed concerning anatomical substrates and circuits actually considered to be involved in the development of cerebellar mutism, as well as risk factors for its development that have been documented in the literature. Attention has also been given to the long-term prognosis and the possibilities of rehabilitation that can be considered in these children, which has been compared with the authors' institutional experience. RESULTS AND CONCLUSIONS Tumor infiltration of the brainstem seems to represent the most relevant feature related to the development of CM, along with the histological diagnosis of medulloblastoma. On the other hand, hydrocephalus does not represent an independent risk factor. The higher rate of CM in children seems to be related to the higher incidence in children of tumors with malignant histology and brain stem involvement. Surgical technique does not seem to have a definite role; in particular, the use of a telovelar approach as compared to vermian split to reach the fourth ventricle extension of the tumor has not been demonstrated to prevent the development of cerebellar mutism. Concerning long-term prognosis, around one third of the children who develop cerebellar mutism after surgery have a persistent dysarthria, the remaining ones showing a residual phonological impairment. Long-term dysarthric features tend to be more severe and less prone to recovery in children presenting at diagnosis with associated combined procedural memory and defective neurocognitive functions.
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