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Saha P. Eigenvector Centrality Characterization on fMRI Data: Gender and Node Differences in Normal and ASD Subjects : Author name. J Autism Dev Disord 2024; 54:2757-2768. [PMID: 37142901 DOI: 10.1007/s10803-023-05922-x] [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] [Accepted: 02/05/2023] [Indexed: 05/06/2023]
Abstract
With the budding interests of structural and functional network characteristics as potential parameters for abnormal brains, an essential and thus simpler representation and evaluations have become necessary. Eigenvector centrality measure of functional magnetic resonance imaging (fMRI) offer region wise network representations through fMRI diagnostic maps. The article investigates the suitability of network node centrality values to discriminate ASD subject groups compared to typically developing controls following a boxplot formalism and a classification and regression tree model. Region wise differences between normal and ASD subjects primarily belong to the frontoparietal, limbic, ventral attention, default mode and visual networks. The reduced number of regions-of-interests (ROI) clearly suggests the benefit of automated supervised machine learning algorithm over the manual classification method.
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Affiliation(s)
- Papri Saha
- Department of Computer Science, Derozio Memorial College, Rajarhat Road, P.O. - R- Gopalpur, Kolkata, 700136, India.
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2
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de Moraes FHP, Sudo F, Carneiro Monteiro M, de Melo BRP, Mattos P, Mota B, Tovar-Moll F. Cortical folding correlates to aging and Alzheimer's Disease's cognitive and CSF biomarkers. Sci Rep 2024; 14:3222. [PMID: 38332140 PMCID: PMC10853184 DOI: 10.1038/s41598-023-50780-3] [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: 08/29/2023] [Accepted: 12/25/2023] [Indexed: 02/10/2024] Open
Abstract
This manuscript presents the quantification and correlation of three aspects of Alzheimer's Disease evolution, including structural, biochemical, and cognitive assessments. We aimed to test a novel structural biomarker for neurodegeneration based on a cortical folding model for mammals. Our central hypothesis is that the cortical folding variable, representative of axonal tension in white matter, is an optimal discriminator of pathological aging and correlates with altered loadings in Cerebrospinal Fluid samples and a decline in cognition and memory. We extracted morphological features from T1w 3T MRI acquisitions using FreeSurfer from 77 Healthy Controls (age = 66 ± 8.4, 69% females), 31 Mild Cognitive Impairment (age = 72 ± 4.8, 61% females), and 13 Alzheimer's Disease patients (age = 77 ± 6.1, 62% females) of recruited volunteers in Brazil to test its discriminative power using optimal cut-point analysis. Cortical folding distinguishes the groups with reasonable accuracy (Healthy Control-Alzheimer's Disease, accuracy = 0.82; Healthy Control-Mild Cognitive Impairment, accuracy = 0.56). Moreover, Cerebrospinal Fluid biomarkers (total Tau, A[Formula: see text]1-40, A[Formula: see text]1-42, and Lipoxin) and cognitive scores (Cognitive Index, Rey's Auditory Verbal Learning Test, Trail Making Test, Digit Span Backward) were correlated with the global neurodegeneration in MRI aiming to describe health, disease, and the transition between the two states using morphology.
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Affiliation(s)
- Fernanda Hansen P de Moraes
- Brain Connectivity Unit, D'Or Institute of Research and Education (IDOR), Rio de Janeiro, 225281-100, Brazil
- Instituto de Física, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, 21941-909, Brazil
| | - Felipe Sudo
- Memory Clinic, D'Or Institute of Research and Education (IDOR), Rio de Janeiro, 225281-100, Brazil
| | - Marina Carneiro Monteiro
- Brain Connectivity Unit, D'Or Institute of Research and Education (IDOR), Rio de Janeiro, 225281-100, Brazil
| | - Bruno R P de Melo
- Brain Connectivity Unit, D'Or Institute of Research and Education (IDOR), Rio de Janeiro, 225281-100, Brazil
| | - Paulo Mattos
- Memory Clinic, D'Or Institute of Research and Education (IDOR), Rio de Janeiro, 225281-100, Brazil
| | - Bruno Mota
- Instituto de Física, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, 21941-909, Brazil
| | - Fernanda Tovar-Moll
- Brain Connectivity Unit, D'Or Institute of Research and Education (IDOR), Rio de Janeiro, 225281-100, Brazil.
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3
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Lenge M, Balestrini S, Napolitano A, Mei D, Conti V, Baldassarri G, Trivisano M, Pellacani S, Macconi L, Longo D, Rossi Espagnet MC, Cappelletti S, D'Incerti L, Barba C, Specchio N, Guerrini R. Morphometric network-based abnormalities correlate with psychiatric comorbidities and gene expression in PCDH19-related developmental and epileptic encephalopathy. Transl Psychiatry 2024; 14:35. [PMID: 38238304 PMCID: PMC10796344 DOI: 10.1038/s41398-024-02753-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 01/03/2024] [Accepted: 01/08/2024] [Indexed: 01/22/2024] Open
Abstract
Protocadherin-19 (PCDH19) developmental and epileptic encephalopathy causes an early-onset epilepsy syndrome with limbic seizures, typically occurring in clusters and variably associated with intellectual disability and a range of psychiatric disorders including hyperactive, obsessive-compulsive and autistic features. Previous quantitative neuroimaging studies revealed abnormal cortical areas in the limbic formation (parahippocampal and fusiform gyri) and underlying white-matter fibers. In this study, we adopted morphometric, network-based and multivariate statistical methods to examine the cortex and substructure of the hippocampus and amygdala in a cohort of 20 PCDH19-mutated patients and evaluated the relation between structural patterns and clinical variables at individual level. We also correlated morphometric alterations with known patterns of PCDH19 expression levels. We found patients to exhibit high-significant reductions of cortical surface area at a whole-brain level (left/right pvalue = 0.045/0.084), and particularly in the regions of the limbic network (left/right parahippocampal gyri pvalue = 0.230/0.016; left/right entorhinal gyri pvalue = 0.002/0.327), and bilateral atrophy of several subunits of the amygdala and hippocampus, particularly in the CA regions (head of the left CA3 pvalue = 0.002; body of the right CA3 pvalue = 0.004), and differences in the shape of hippocampal structures. More severe psychiatric comorbidities correlated with more significant altered patterns, with the entorhinal gyrus (pvalue = 0.013) and body of hippocampus (pvalue = 0.048) being more severely affected. Morphometric alterations correlated significantly with the known expression patterns of PCDH19 (rvalue = -0.26, pspin = 0.092). PCDH19 encephalopathy represents a model of genetically determined neural network based neuropsychiatric disease in which quantitative MRI-based findings correlate with the severity of clinical manifestations and had have a potential predictive value if analyzed early.
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Affiliation(s)
- Matteo Lenge
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Simona Balestrini
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Antonio Napolitano
- Medical Physics Department, Bambino Gesù Children's Hospital, IRCCS, 00100, Rome, Italy
| | - Davide Mei
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Valerio Conti
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Giulia Baldassarri
- Medical Physics Department, Bambino Gesù Children's Hospital, IRCCS, 00100, Rome, Italy
| | - Marina Trivisano
- Neurology, Epilepsy and Movement Disorders, Bambino Gesù Children's Hospital, IRCCS, Full Member of European Reference Network EpiCARE, 00165, Rome, Italy
| | - Simona Pellacani
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Letizia Macconi
- Pediatric Radiology Unit, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Daniela Longo
- Functional and Interventional Neuroimaging Unit, Bambino Gesù Children's Hospital, IRCCS, 00165, Rome, Italy
| | | | - Simona Cappelletti
- Neurology, Epilepsy and Movement Disorders, Bambino Gesù Children's Hospital, IRCCS, Full Member of European Reference Network EpiCARE, 00165, Rome, Italy
| | - Ludovico D'Incerti
- Pediatric Radiology Unit, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Carmen Barba
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Nicola Specchio
- Neurology, Epilepsy and Movement Disorders, Bambino Gesù Children's Hospital, IRCCS, Full Member of European Reference Network EpiCARE, 00165, Rome, Italy
| | - Renzo Guerrini
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy.
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Kamiya S, Kobayashi T, Sawada K. Induction of cerebellar cortical neurogenesis immediately following valproic acid exposure in ferret kits. Front Neurosci 2023; 17:1318688. [PMID: 38130693 PMCID: PMC10734798 DOI: 10.3389/fnins.2023.1318688] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 11/23/2023] [Indexed: 12/23/2023] Open
Abstract
Introduction Valproic acid (VPA) is an anticonvulsant/antiepileptic drug that regulates neurogenesis. Its effects vary depending on the timing of exposure and the types of neural progenitors involved. Neonatal exposure to VPA causes autism spectrum disorder-like behaviors in some mammalian species, including ferrets. Ferrets experience the cerebellar cortical histogenesis during early postnatal period. However, no studies have evaluated the effect of VPA on cerebellar corticohistogenesis. The present study aimed to determine the effects of VPA exposure on the developing cerebellar cortex in ferret kits with a particular focus on the cortical neurogenesis. Methods The experimental kits each received an intraperitoneal injection of VPA, 200 μg/g body weight, on postnatal days 6 and 7. EdU and BrdU were administered on postnatal days 5 and 7, respectively, to label cells proliferating prior to and following exposure to VPA. Results We found that 2 h post BrdU injection, BrdU-labeled cells were abundantly distributed in the internal granular layer (IGL), whereas EdU-labeled cells were primarily relegated to the inner pre-migratory zone of the external granular layer (EGL). The density of BrdU-single-labeled cells was significantly lower in the EGL and significantly higher in the IGL of the VPA-exposed group, as compared to the control group. Immunostaining for doublecortin, a marker of immature neurons, was observed in BrdU-single-labeled cells in the IGL of the VPA-exposed group, which was significantly higher than that observed in the control group. EdU-single-labeled cells that had proliferated prior to VPA exposure were also detected in the IGL. While the cell density remained unchanged, significant changes were observed in the proportions of EdU-single-labeled cells immunostained with marker antigens; higher proportion of PCNA immunostaining, but lower proportion of S100 immunostaining in the VPA-exposed group compared to the control group. Discussion These findings suggest the presence of progenitors in the IGL of the developing cerebellar cortex in ferret kits. We called them "internal granular progenitors." The progenitors may proliferate in response to VPA, leading the differentiated lineage more toward neurons than to glial cells. Thus, VPA may facilitate the differentiative division of internal granular progenitors to produce cerebellar granular neurons.
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Affiliation(s)
- Shiori Kamiya
- Department of Regulation Biology, Graduate School of Sciences and Engineering, Saitama University, Saitama, Japan
| | - Tetsuya Kobayashi
- Department of Regulation Biology, Graduate School of Sciences and Engineering, Saitama University, Saitama, Japan
| | - Kazuhiko Sawada
- Department of Nutrition, Faculty of Medical and Health Sciences, Tsukuba International University, Tsuchiura, Japan
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Ghirelli A, Tafuri B, Urso D, Milella G, De Blasi R, Nigro S, Logroscino G. Cortical signature of depressive symptoms in frontotemporal dementia: A surface-based analysis. Ann Clin Transl Neurol 2023; 10:1704-1713. [PMID: 37522381 PMCID: PMC10578898 DOI: 10.1002/acn3.51860] [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: 03/26/2023] [Revised: 07/04/2023] [Accepted: 07/07/2023] [Indexed: 08/01/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Depressive symptoms are frequently reported in patients affected by frontotemporal dementia (FTD). At structural MRI, cortical features of depressed FTD patients have been poorly described. Our objective was to investigate correlations between cortical measures and depression severity in FTD patients. METHODS Data were obtained from the Frontotemporal Lobar Degeneration Neuroimaging Initiative (FTLDNI) database. We included 98 controls and 92 FTD patients, n = 38 behavioral variant FTD (bvFTD), n = 26 non-fluent variant Primary Progressive Aphasia (nfvPPA), and n = 28 semantic variant Primary Progressive Aphasia (svPPA). Patients underwent clinical and cognitive evaluations, as well as a 3D T1-weighted MRI on a 3 Tesla scanner (Siemens, Trio Tim system). Depression was evaluated by means of Geriatric Depression Scale (GDS). Surface-based analysis was performed on T1-weighted images to evaluate cortical thickness, a measure of gray matter integrity, and local gyrification index (lGI), a quantitative metric of cortical folding. RESULTS Patients affected by svPPA were more depressed than controls at NPI and depression severity at GDS was higher in svPPA and bvFTD. Severity of depression correlated with a decrease in lGI in left precentral and superior frontal gyrus, supramarginal and postcentral gyrus and right precentral, supramarginal, superior parietal and superior frontal gyri. Furthermore, depression severity correlated positively with cortical thickness in the left medial orbitofrontal cortex. DISCUSSION We found that lGI was associated with depressive symptoms over brain regions involved in the pathophysiology of major depressive disorder. This finding provides novel insights into the mechanisms underlying psychiatric symptoms in FTD.
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Affiliation(s)
- Alma Ghirelli
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in NeurologyUniversity of Bari ‘Aldo Moro’, “Pia Fondazione Cardinale G. Panico”LecceItaly
- Department of Translational Biomedicine and Neuroscience (DiBraiN)University of Bari ‘Aldo Moro’BariItaly
| | - Benedetta Tafuri
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in NeurologyUniversity of Bari ‘Aldo Moro’, “Pia Fondazione Cardinale G. Panico”LecceItaly
- Department of Translational Biomedicine and Neuroscience (DiBraiN)University of Bari ‘Aldo Moro’BariItaly
| | - Daniele Urso
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in NeurologyUniversity of Bari ‘Aldo Moro’, “Pia Fondazione Cardinale G. Panico”LecceItaly
- Department of Neurosciences, King's College LondonInstitute of Psychiatry, Psychology and NeuroscienceLondonUK
| | - Giammarco Milella
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in NeurologyUniversity of Bari ‘Aldo Moro’, “Pia Fondazione Cardinale G. Panico”LecceItaly
- Department of Translational Biomedicine and Neuroscience (DiBraiN)University of Bari ‘Aldo Moro’BariItaly
| | - Roberto De Blasi
- Department of Diagnostic ImagingPia Fondazione di Culto e Religione “Card. G. Panico”LecceItaly
| | - Salvatore Nigro
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in NeurologyUniversity of Bari ‘Aldo Moro’, “Pia Fondazione Cardinale G. Panico”LecceItaly
- Institute of Nanotechnology (NANOTEC), National Research CouncilLecceItaly
| | - Giancarlo Logroscino
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in NeurologyUniversity of Bari ‘Aldo Moro’, “Pia Fondazione Cardinale G. Panico”LecceItaly
- Department of Diagnostic ImagingPia Fondazione di Culto e Religione “Card. G. Panico”LecceItaly
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Gandolfi D, Mapelli J, Solinas SMG, Triebkorn P, D'Angelo E, Jirsa V, Migliore M. Full-scale scaffold model of the human hippocampus CA1 area. NATURE COMPUTATIONAL SCIENCE 2023; 3:264-276. [PMID: 38177882 PMCID: PMC10766517 DOI: 10.1038/s43588-023-00417-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 02/09/2023] [Indexed: 01/06/2024]
Abstract
The increasing availability of quantitative data on the human brain is opening new avenues to study neural function and dysfunction, thus bringing us closer and closer to the implementation of digital twin applications for personalized medicine. Here we provide a resource to the neuroscience community: a computational method to generate full-scale scaffold model of human brain regions starting from microscopy images. We have benchmarked the method to reconstruct the CA1 region of a right human hippocampus, which accounts for about half of the entire right hippocampal formation. Together with 3D soma positioning we provide a connectivity matrix generated using a morpho-anatomical connection strategy based on axonal and dendritic probability density functions accounting for morphological properties of hippocampal neurons. The data and algorithms are supplied in a ready-to-use format, suited to implement computational models at different scales and detail.
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Affiliation(s)
- Daniela Gandolfi
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
| | - Jonathan Mapelli
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
- Center for Neuroscience and Neurotechnology, University of Modena and Reggio Emilia, Modena, Italy.
| | - Sergio M G Solinas
- Department of Biomedical Science, University of Sassari, Sassari, Italy
- Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Paul Triebkorn
- Institut de Neurosciences des Systèmes, Aix-Marseille University, Marseille, France
| | - Egidio D'Angelo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- IRCCS Mondino Foundation, Pavia, Italy
| | - Viktor Jirsa
- Institut de Neurosciences des Systèmes, Aix-Marseille University, Marseille, France
| | - Michele Migliore
- Institute of Biophysics, National Research Council, Palermo, Italy.
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Tang J, Xie Y, Liao W, Zhang Y, Yang F, Zhao L, Zhou G, Zhang Y, Jiang H, Xing W. Association between cortical gyrification and white matter integrity in spinocerebellar ataxia type 3. Cereb Cortex 2023; 33:2174-2182. [PMID: 35567796 DOI: 10.1093/cercor/bhac199] [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: 03/29/2022] [Revised: 04/28/2022] [Accepted: 01/21/2022] [Indexed: 11/13/2022] Open
Abstract
Gray matter volume and thickness reductions have been reported in patients with spinocerebellar ataxia type 3 (SCA3), whereas cortical gyrification alterations of this disease remain largely unexplored. Using local gyrification index (LGI) and fractional anisotropy (FA) from structural and diffusion MRI data, this study investigated the cortical gyrification alterations as well as their relationship with white matter microstructural abnormalities in patients with SCA3 (n = 61) compared with healthy controls (n = 69). We found widespread reductions in cortical LGI and white matter FA in patients with SCA3 and that changes in these 2 features were also coupled. In the patient group, the LGI of the left middle frontal gyrus, bilateral insula, and superior temporal gyrus was negatively correlated with the severity of depressive symptoms, and the FA of a cluster in the left cerebellum was negatively correlated with the Scale for the Assessment and Rating of Ataxia scores. Our findings suggest that the gyrification abnormalities observed in this study may account for the clinical heterogeneity in SCA3 and are likely to be mediated by the underlying white matter microstructural abnormalities of this disease.
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Affiliation(s)
- Jingyi Tang
- Department of Radiology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Yue Xie
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Weihua Liao
- Department of Radiology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, 87 Xiangya Road, Changsha, 410008, China.,Molecular Imaging Research Center of Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Youming Zhang
- Department of Radiology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, 87 Xiangya Road, Changsha, 410008, China
| | - Fangxue Yang
- Department of Radiology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Linmei Zhao
- Department of Radiology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Gaofeng Zhou
- Department of Radiology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Yuanchao Zhang
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Hong Jiang
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, 87 Xiangya Road, Changsha, 410008, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Wu Xing
- Department of Radiology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China
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Du X, Wei L, Yang B, Long S, Wang J, Sun A, Jiang Y, Qiao Z, Wang H, Wang Y. Cortical and subcortical morphological alteration in Angelman syndrome. J Neurodev Disord 2023; 15:7. [PMID: 36788499 PMCID: PMC9930225 DOI: 10.1186/s11689-022-09469-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 11/28/2022] [Indexed: 02/16/2023] Open
Abstract
BACKGROUND Angelman syndrome (AS) is a neurodevelopmental disorder with serious seizures. We aim to explore the brain morphometry of patients with AS and figure out whether the seizure is associated with brain development. METHODS Seventy-three patients and 26 healthy controls (HC) underwent high-resolution structural brain MRI. Group differences between the HC group and the AS group and also between AS patients with seizure (AS-Se) and age-matched AS patients with non-seizure (AS-NSe) were compared. The voxel-based and surface-based morphometry analyses were used in our study. Gray matter volume, cortical thickness (CTH), and local gyrification index (LGI) were assessed to analyze the cortical and subcortical structure alteration in the AS brain. RESULTS Firstly, compared with the HC group, children with AS were found to have a significant decrease in gray matter volume in the subcortical nucleus, cortical, and cerebellum. However, the gray matter volume of AS patients in the inferior precuneus was significantly increased. Secondly, patients with AS had significantly increased LGI in the whole brain as compared with HC. Thirdly, the comparison of AS-Se and the AS-NSe groups revealed a significant decrease in caudate volume in the AS-Se group. Lastly, we further selected the caudate and the precuneus as ROIs for volumetric analysis, the AS group showed significantly increased LGI in the precuneus and reduced CTH in the right precuneus. Between the AS-Se and the AS-NSe groups, the AS-Se group exhibited significantly lower density in the caudate, while only the CTH in the left precuneus showed a significant difference. CONCLUSIONS These results revealed cortical and subcortical morphological alterations in patients with AS, including globally the decreased brain volume in the subcortical nucleus, the increased gray matter volume of precuneus, and the whole-brain increase of LGI and reduction of CTH. The abnormal brain pattern was more serious in patients with seizures, suggesting that the occurrence of seizures may be related to abnormal brain changes.
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Affiliation(s)
- Xiaonan Du
- Department of Neurology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.,Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Lei Wei
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Baofeng Yang
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Shasha Long
- Department of Neurology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Ji Wang
- Department of Neurology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Aiqi Sun
- Human Phenome Institute, Fudan University, Shanghai, China
| | - Yonghui Jiang
- Department of Genetics and Paediatrics, Yale School of Medicine, CT, New Haven, China
| | - Zhongwei Qiao
- Department of Radiology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - He Wang
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China. .,Human Phenome Institute, Fudan University, Shanghai, China. .,Key Laboratory of Computational Neuroscience and BrainInspired Intelligence (Fudan University), Ministry of Education, Shanghai, USA.
| | - Yi Wang
- Department of Neurology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
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O’Hearn K, Lynn A. Age differences and brain maturation provide insight into heterogeneous results in autism spectrum disorder. Front Hum Neurosci 2023; 16:957375. [PMID: 36819297 PMCID: PMC9934814 DOI: 10.3389/fnhum.2022.957375] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 11/07/2022] [Indexed: 02/05/2023] Open
Abstract
Studies comparing individuals with autism spectrum disorder (ASD) to typically developing (TD) individuals have yielded inconsistent results. These inconsistencies reflect, in part, atypical trajectories of development in children and young adults with ASD compared to TD peers. These different trajectories alter group differences between children with and without ASD as they age. This paper first summarizes the disparate trajectories evident in our studies and, upon further investigation, laboratories using the same recruiting source. These studies indicated that cognition improves into adulthood typically, and is associated with the maturation of striatal, frontal, and temporal lobes, but these age-related improvements did not emerge in the young adults with ASD. This pattern - of improvement into adulthood in the TD group but not in the group with ASD - occurred in both social and non-social tasks. However, the difference between TD and ASD trajectories was most robust on a social task, face recognition. While tempting to ascribe this uneven deficit to the social differences in ASD, it may also reflect the prolonged typical development of social cognitive tasks such as face recognition into adulthood. This paper then reviews the evidence on age-related and developmental changes from other studies on ASD. The broader literature also suggests that individuals with ASD do not exhibit the typical improvements during adolescence on skills important for navigating the transition to adulthood. These skills include execution function, social cognition and communication, and emotional recognition and self-awareness. Relatedly, neuroimaging studies indicate arrested or atypical brain maturation in striatal, frontal, and temporal regions during adolescence in ASD. This review not only highlights the importance of a developmental framework and explicit consideration of age and/or stage when studying ASD, but also the potential importance of adolescence on outcomes in ASD.
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Affiliation(s)
- Kirsten O’Hearn
- Department of Physiology and Pharmacology, Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC, United States,*Correspondence: Kirsten O’Hearn,
| | - Andrew Lynn
- Department of Special Education, Vanderbilt University, Nashville, TN, United States
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10
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Arutiunian V, Gomozova M, Minnigulova A, Davydova E, Pereverzeva D, Sorokin A, Tyushkevich S, Mamokhina U, Danilina K, Dragoy O. Structural brain abnormalities and their association with language impairment in school-aged children with Autism Spectrum Disorder. Sci Rep 2023; 13:1172. [PMID: 36670149 PMCID: PMC9860052 DOI: 10.1038/s41598-023-28463-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 01/18/2023] [Indexed: 01/22/2023] Open
Abstract
Language impairment is comorbid in most children with Autism Spectrum Disorder (ASD) but its neural basis is poorly understood. Using structural magnetic resonance imaging (MRI), the present study provides the whole-brain comparison of both volume- and surface-based characteristics between groups of children with and without ASD and investigates the relationships between these characteristics in language-related areas and the language abilities of children with ASD measured with standardized tools. A total of 36 school-aged children participated in the study: 18 children with ASD and 18 age- and sex-matched typically developing controls. The results revealed that multiple regions differed between groups of children in gray matter volume, gray matter thickness, gyrification, and cortical complexity (fractal dimension). White matter volume and sulcus depth did not differ between groups of children in any region. Importantly, gray matter thickness and gyrification of language-related areas were related to language functioning in children with ASD. Thus, the results of the present study shed some light on the structural brain abnormalities associated with language impairment in ASD.
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Affiliation(s)
- Vardan Arutiunian
- Center for Child Health, Behavior and Development, Seattle Children's Research Institute, 1920 Terry Ave., Seattle, WA, 98101, USA.
| | | | | | - Elizaveta Davydova
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia.,Chair of Differential Psychology and Psychophysiology, Moscow State University of Psychology and Education, Moscow, Russia
| | - Darya Pereverzeva
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia
| | - Alexander Sorokin
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia.,Haskins Laboratories, New Haven, CT, USA
| | - Svetlana Tyushkevich
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia
| | - Uliana Mamokhina
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia
| | - Kamilla Danilina
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia
| | - Olga Dragoy
- Center for Language and Brain, HSE University, Moscow, Russia.,Institute of Linguistics, Russian Academy of Sciences, Moscow, Russia
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11
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Bolton TAW, Van De Ville D, Régis J, Witjas T, Girard N, Levivier M, Tuleasca C. Exploring the heterogeneous morphometric data in essential tremor with probabilistic modelling. Neuroimage Clin 2022; 37:103283. [PMID: 36516728 PMCID: PMC9755240 DOI: 10.1016/j.nicl.2022.103283] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 10/14/2022] [Accepted: 12/05/2022] [Indexed: 12/12/2022]
Abstract
Essential tremor (ET) is a prevalent movement disorder characterized by marked clinical heterogeneity. Here, we explored the morphometric underpinnings of this cross-subject variability on a cohort of 34 patients with right-dominant drug-resistant ET and 29 matched healthy controls (HCs). For each brain region, group-wise morphometric data was modelled by a multivariate Gaussian to account for morphometric features' (co)variance. No group differences were found in terms of mean values, highlighting the limits of more basic group comparison approaches. Variance in surface area was higher in ET in the left lingual and caudal anterior cingulate cortices, while variance in mean curvature was lower in the right superior temporal cortex and pars triangularis, left supramarginal gyrus and bilateral paracentral gyrus. Heterogeneity further extended to the right putamen, for which a mixture of two Gaussians fitted the ET data better than a single one. Partial Least Squares analysis revealed the rich clinical relevance of the ET population's heterogeneity: first, increased head tremor and longer symptoms' duration were accompanied by broadly lower cortical gyrification. Second, more severe upper limb tremor and impairments in daily life activities characterized the patients whose morphometric profiles were more atypical compared to the average ET population, irrespective of the exact nature of the alterations. Our results provide candidate morphometric substrates for two different types of clinical variability in ET. They also demonstrate the importance of relying on analytical approaches that can efficiently handle multivariate data and enable to test more sophisticated hypotheses regarding its organization.
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Affiliation(s)
- Thomas A W Bolton
- Department of Clinical Neurosciences, Neurosurgery Service and Gamma Knife Center, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland; Department of Radiology, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland.
| | - Dimitri Van De Ville
- Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne, 1202 Geneva, Switzerland; Department of Radiology and Medical Informatics, University of Geneva, 1202 Geneva, Switzerland
| | - Jean Régis
- Stereotactic and Functional Neurosurgery Service and Gamma Knife Unit, Assistance Publique-Hôpitaux de Marseille, Centre Hospitalier Universitaire de la Timone, 13005 Marseille, France
| | - Tatiana Witjas
- Neurology Department, Assistance Publique-Hôpitaux de Marseille, Centre Hospitalier Universitaire de la Timone, 13005 Marseille, France
| | - Nadine Girard
- Department of Diagnostic and Interventional Neuroradiology, Centre de Résonance Magnétique Biologique et Médicale, Assistance Publique-Hôpitaux de Marseille, Centre Hospitalier Universitaire de la Timone, 13005 Marseille, France
| | - Marc Levivier
- Department of Clinical Neurosciences, Neurosurgery Service and Gamma Knife Center, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland; University of Lausanne (UNIL), Faculty of Biology and Medicine (FBM), 1015 Lausanne, Switzerland
| | - Constantin Tuleasca
- Department of Clinical Neurosciences, Neurosurgery Service and Gamma Knife Center, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland; University of Lausanne (UNIL), Faculty of Biology and Medicine (FBM), 1015 Lausanne, Switzerland; Signal Processing Laboratory (LTS 5), Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
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12
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Bonke EM, Bonfert MV, Hillmann SM, Seitz-Holland J, Gaubert M, Wiegand TLT, De Luca A, Cho KIK, Sandmo SB, Yhang E, Tripodis Y, Seer C, Kaufmann D, Kaufmann E, Muehlmann M, Gooijers J, Lin AP, Leemans A, Swinnen SP, Bahr R, Shenton ME, Pasternak O, Tacke U, Heinen F, Koerte IK. Neurological soft signs in adolescents are associated with brain structure. Cereb Cortex 2022; 33:5547-5556. [PMID: 36424865 DOI: 10.1093/cercor/bhac441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 09/21/2022] [Accepted: 09/22/2022] [Indexed: 11/27/2022] Open
Abstract
Abstract
Neurological soft signs (NSS) are minor deviations in motor performance. During childhood and adolescence, NSS are examined for functional motor phenotyping to describe development, to screen for comorbidities, and to identify developmental vulnerabilities. Here, we investigate underlying brain structure alterations in association with NSS in physically trained adolescents. Male adolescent athletes (n = 136, 13–16 years) underwent a standardized neurological examination including 28 tests grouped into 6 functional clusters. Non-optimal performance in at least 1 cluster was rated as NSS (NSS+ group). Participants underwent T1- and diffusion-weighted magnetic resonance imaging. Cortical volume, thickness, and local gyrification were calculated using Freesurfer. Measures of white matter microstructure (Free-water (FW), FW-corrected fractional anisotropy (FAt), axial and radial diffusivity (ADt, RDt)) were calculated using tract-based spatial statistics. General linear models with age and handedness as covariates were applied to assess differences between NSS+ and NSS− group. We found higher gyrification in a large cluster spanning the left superior frontal and parietal areas, and widespread lower FAt and higher RDt compared with the NSS− group. This study shows that NSS in adolescents are associated with brain structure alterations. Underlying mechanisms may include alterations in synaptic pruning and axon myelination, which are hallmark processes of brain maturation.
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Affiliation(s)
- Elena M Bonke
- University Hospital, Ludwig-Maximilians-Universität cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, , Munich, Germany
- Graduate School of Systemic Neurosciences , Ludwig-Maximilians-Universität, Munich , Germany
- NeuroImaging Core Unit Munich (NICUM), University Hospital, Ludwig-Maximilians-Universität , Munich, Germany
- Harvard Medical School Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, , Boston, MA , United States
| | - Michaela V Bonfert
- University Hospital Division of Pediatric Neurology and Developmental Neuroscience, Department of Pediatrics at Dr. von Hauner Children's Hospital, , , Munich, Germany
- Ludwig-Maximilians-Universität Division of Pediatric Neurology and Developmental Neuroscience, Department of Pediatrics at Dr. von Hauner Children's Hospital, , , Munich, Germany
| | - Stefan M Hillmann
- University Hospital Division of Pediatric Neurology and Developmental Neuroscience, Department of Pediatrics at Dr. von Hauner Children's Hospital, , , Munich, Germany
- Ludwig-Maximilians-Universität Division of Pediatric Neurology and Developmental Neuroscience, Department of Pediatrics at Dr. von Hauner Children's Hospital, , , Munich, Germany
| | - Johanna Seitz-Holland
- Harvard Medical School Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, , Boston, MA , United States
| | - Malo Gaubert
- University Hospital, Ludwig-Maximilians-Universität cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, , Munich, Germany
- CHU Rennes Radiology Department, , Rennes, France
- University of Rennes Inria, CNRS, Inserm, IRISA UMR 6074, Empenn ERL, , Rennes, France
| | - Tim L T Wiegand
- University Hospital, Ludwig-Maximilians-Universität cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, , Munich, Germany
- NeuroImaging Core Unit Munich (NICUM), University Hospital, Ludwig-Maximilians-Universität , Munich, Germany
- Harvard Medical School Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, , Boston, MA , United States
| | - Alberto De Luca
- University Medical Center Utrecht Image Sciences Institute, , Utrecht, the Netherlands
- University Medical Center Utrecht Department of Neurology, , Utrecht, the Netherlands
| | - Kang Ik K Cho
- Harvard Medical School Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, , Boston, MA, United States
| | - Stian B Sandmo
- Norwegian School of Sport Sciences Oslo Sports Trauma Research Center, Department of Sports Medicine, , Oslo, Norway
- Oslo University Hospital Division of Mental Health and Addiction, , Oslo, Norway
| | - Eukyung Yhang
- Boston University School of Public Health Department of Biostatistics, , Boston, MA , United States
| | - Yorghos Tripodis
- Boston University School of Public Health Department of Biostatistics, , Boston, MA , United States
- Boston University School of Medicine Alzheimer’s Disease and CTE Centers, , Boston, MA , United States
| | - Caroline Seer
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven , Leuven, Belgium
| | - David Kaufmann
- University Hospital, Ludwig-Maximilians-Universität cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, , Munich, Germany
- University Hospital Augsburg Department of Diagnostic and Interventional Radiology and Neuroradiology, , Augsburg, Germany
| | - Elisabeth Kaufmann
- University Hospital, Ludwig-Maximilians-Universität cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, , Munich, Germany
- Ludwig-Maximilians-Universität Department of Neurology, , Munich, Germany
| | - Marc Muehlmann
- University Hospital Department of Clinical Radiology, , Ludwig-Maximilians-Universität, Munich, Germany
| | - Jolien Gooijers
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven , Leuven, Belgium
| | - Alexander P Lin
- Harvard Medical School Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, , Boston, MA, United States
- Harvard Medical School Department of Radiology, Brigham and Women's Hospital, , Boston, MA, United States
- Harvard Medical School Center for Clinical Spectroscopy, Brigham and Women’s Hospital, , Boston, MA, United States
| | - Alexander Leemans
- University Medical Center Utrecht Image Sciences Institute, , Utrecht, the Netherlands
| | - Stephan P Swinnen
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven , Leuven, Belgium
| | - Roald Bahr
- Norwegian School of Sport Sciences Oslo Sports Trauma Research Center, Department of Sports Medicine, , Oslo, Norway
| | - Martha E Shenton
- Harvard Medical School Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, , Boston, MA, United States
- Harvard Medical School Department of Radiology, Brigham and Women's Hospital, , Boston, MA, United States
| | - Ofer Pasternak
- Harvard Medical School Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, , Boston, MA, United States
- Harvard Medical School Department of Radiology, Brigham and Women's Hospital, , Boston, MA, United States
| | - Uta Tacke
- University Children's Hospital (UKBB) , Basel, Switzerland
| | - Florian Heinen
- University Hospital Division of Pediatric Neurology and Developmental Neuroscience, Department of Pediatrics at Dr. von Hauner Children's Hospital, , , Munich, Germany
- Ludwig-Maximilians-Universität Division of Pediatric Neurology and Developmental Neuroscience, Department of Pediatrics at Dr. von Hauner Children's Hospital, , , Munich, Germany
| | - Inga K Koerte
- University Hospital, Ludwig-Maximilians-Universität cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, , Munich, Germany
- Graduate School of Systemic Neurosciences , Ludwig-Maximilians-Universität, Munich, Germany
- NeuroImaging Core Unit Munich (NICUM), University Hospital, Ludwig-Maximilians-Universität , Munich , Germany
- Harvard Medical School Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, , Boston, MA , United States
- Harvard Medical School Department of Psychiatry, Massachusetts General Hospital, , Boston, MA , United States
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13
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Khadem-Reza ZK, Zare H. Evaluation of brain structure abnormalities in children with autism spectrum disorder (ASD) using structural magnetic resonance imaging. THE EGYPTIAN JOURNAL OF NEUROLOGY, PSYCHIATRY AND NEUROSURGERY 2022. [DOI: 10.1186/s41983-022-00576-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Abstract
Background
Autism spectrum disorder (ASD) is a group of developmental disorders of the nervous system. Since the core cause of many of the symptoms of autism spectrum disorder is due to changes in the structure of the brain, the importance of examining the structural abnormalities of the brain in these disorder becomes apparent. The aim of this study is evaluation of brain structure abnormalities in children with autism spectrum disorder (ASD) using structural magnetic resonance imaging (sMRI). sMRI images of 26 autistic and 26 Healthy control subjects in the range of 5–10 years are selected from the ABIDE database. For a better assessment of structural abnormalities, the surface and volume features are extracted together from this images. Then, the extracted features from both groups were compared with the sample t test and the features with significant differences between the two groups were identified.
Results
The results of volume-based features indicate an increase in total brain volume and white matter and a change in white and gray matter volume in brain regions of Hammers atlas in the autism group. In addition, the results of surface-based features indicate an increase in mean and standard deviation of cerebral cortex thickness and changes in cerebral cortex thickness, sulcus depth, surface complexity and gyrification index in the brain regions of the Desikan–Killany cortical atlas.
Conclusions
Identifying structurally abnormal areas of the brain and examining their relationship to the clinical features of Autism Spectrum Disorder can pave the way for the correct and early detection of this disorder using structural magnetic resonance imaging. It is also possible to design treatment for autistic people based on the abnormal areas of the brain, and to see the effectiveness of the treatment using imaging.
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14
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Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that occurs during early childhood. The change from being normal across several contexts to displaying the behavioral phenotype of ASD occurs in infants and toddlers with autism. Findings provided by magnetic resonance imaging (MRI)-based research owing to the developmental phase, including potential pathways underlying the pathogenesis of the condition and the potential for signs and symptomatic risk prediction. The present study focuses on the characteristic features of magnetic resonance imaging autistic brain, how these changes are correlated to autism signs and symptoms and the implications of MRI as a potential tool for the early diagnosis of ASD. PRISMA style was used to conduct this review. Research articles related to the key concepts of this review, which is looking at MRI brain changes in autistic patients, were revised and incorporated with what is known with the pathophysiology of brain regions in relation to signs and symptoms of autism. Studies on brain MRI of autism were revied for major brain features and regions such as brain volume, cortex and hippocampus. This review reveals that brain changes seen in MRI are highly correlated with the signs and symptoms of autism. There are numerous distinct features noted in an autistic brain using MRI. Based on these findings, various developmental brain paths and autistic behavior culminate in a typical diagnosis, and it is possible that addressing these trajectories would improve the accuracy in which children are detected and provide the necessary treatment.
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Affiliation(s)
- Nahla L. Faizo
- Radiological Sciences Department, College of Applied Medical Sciences, Taif University, KSA
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15
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Durkut M, Blok E, Suleri A, White T. The longitudinal bidirectional relationship between autistic traits and brain morphology from childhood to adolescence: a population-based cohort study. Mol Autism 2022; 13:31. [PMID: 35790991 PMCID: PMC9258195 DOI: 10.1186/s13229-022-00504-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 05/24/2022] [Indexed: 11/10/2022] Open
Abstract
Objective Autistic traits are associated with alterations in brain morphology. However, the anatomic location of these differences and their developmental trajectories are unclear. The primary objective of this longitudinal study was to explore the bidirectional relationship between autistic traits and brain morphology from childhood to adolescence. Method Participants were drawn from a population-based cohort. Cross-sectional and longitudinal analyses included 1950 (mean age 13.5) and 304 participants (mean ages 6.2 and 13.5), respectively. Autistic traits were measured with the Social Responsiveness Scale. Global brain measures and surface-based measures of gyrification, cortical thickness and surface area were obtained from T1-weighted MRI scans. Cross-sectional associations were assessed using linear regression analyses. Cross-lagged panel models were used to determine the longitudinal bidirectional relationship between autistic traits and brain morphology. Results Cross-sectionally, higher levels of autistic traits in adolescents are associated with lower gyrification in the pars opercularis, insula and superior temporal cortex; smaller surface area in the middle temporal and postcentral cortex; larger cortical thickness in the superior frontal cortex; and smaller cerebellum cortex volume. Longitudinally, both autistic traits and brain measures were quite stable, with neither brain measures predicting changes in autistic traits, nor vice-versa. Limitations Autistic traits were assessed at only two time points, and thus we could not distinguish within- versus between-person effects. Furthermore, two different MRI scanners were used between baseline and follow-up for imaging data acquisition. Conclusions Our findings point to early changes in brain morphology in children with autistic symptoms that remain quite stable over time. The observed relationship did not change substantially after excluding children with high levels of autistic traits, bolstering the evidence for the extension of the neurobiology of autistic traits to the general population. Supplementary Information The online version contains supplementary material available at 10.1186/s13229-022-00504-7.
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16
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Lu YC, Andescavage N, Wu Y, Kapse K, Andersen NR, Quistorff J, Saeed H, Lopez C, Henderson D, Barnett SD, Vezina G, Wessel D, du Plessis A, Limperopoulos C. Maternal psychological distress during the COVID-19 pandemic and structural changes of the human fetal brain. COMMUNICATIONS MEDICINE 2022; 2:47. [PMID: 35647608 PMCID: PMC9135751 DOI: 10.1038/s43856-022-00111-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 04/11/2022] [Indexed: 12/12/2022] Open
Abstract
Background Elevated maternal psychological distress during pregnancy is linked to adverse outcomes in offspring. The potential effects of intensified levels of maternal distress during the COVID-19 pandemic on the developing fetal brain are currently unknown. Methods We prospectively enrolled 202 pregnant women: 65 without known COVID-19 exposures during the pandemic who underwent 92 fetal MRI scans, and 137 pre-pandemic controls who had 182 MRI scans. Multi-plane, multi-phase single shot fast spin echo T2-weighted images were acquired on a GE 1.5 T MRI Scanner. Volumes of six brain tissue types were calculated. Cortical folding measures, including brain surface area, local gyrification index, and sulcal depth were determined. At each MRI scan, maternal distress was assessed using validated stress, anxiety, and depression scales. Generalized estimating equations were utilized to compare maternal distress measures, brain volume and cortical folding differences between pandemic and pre-pandemic cohorts. Results Stress and depression scores are significantly higher in the pandemic cohort, compared to the pre-pandemic cohort. Fetal white matter, hippocampal, and cerebellar volumes are decreased in the pandemic cohort. Cortical surface area and local gyrification index are also decreased in all four lobes, while sulcal depth is lower in the frontal, parietal, and occipital lobes in the pandemic cohort, indicating delayed brain gyrification. Conclusions We report impaired fetal brain growth and delayed cerebral cortical gyrification in COVID-19 pandemic era pregnancies, in the setting of heightened maternal psychological distress. The potential long-term neurodevelopmental consequences of altered fetal brain development in COVID-era pregnancies merit further study.
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Affiliation(s)
- Yuan-Chiao Lu
- Developing Brain Institute, Children’s National Hospital, Washington, DC USA
| | - Nickie Andescavage
- Developing Brain Institute, Children’s National Hospital, Washington, DC USA
- Department of Pediatrics, School of Medicine and Health Sciences, the George Washington University, Washington, DC USA
| | - Yao Wu
- Developing Brain Institute, Children’s National Hospital, Washington, DC USA
| | - Kushal Kapse
- Developing Brain Institute, Children’s National Hospital, Washington, DC USA
| | - Nicole R. Andersen
- Developing Brain Institute, Children’s National Hospital, Washington, DC USA
| | - Jessica Quistorff
- Developing Brain Institute, Children’s National Hospital, Washington, DC USA
| | - Haleema Saeed
- MedStar Washington Hospital Center, Washington, DC USA
| | - Catherine Lopez
- Developing Brain Institute, Children’s National Hospital, Washington, DC USA
| | - Diedtra Henderson
- Developing Brain Institute, Children’s National Hospital, Washington, DC USA
| | - Scott D. Barnett
- Developing Brain Institute, Children’s National Hospital, Washington, DC USA
| | - Gilbert Vezina
- Developing Brain Institute, Children’s National Hospital, Washington, DC USA
| | - David Wessel
- Critical Care Medicine, Children’s National Hospital, Washington, DC USA
| | - Adre du Plessis
- Prenatal Pediatrics Institute, Children’s National Hospital, Washington, DC USA
| | - Catherine Limperopoulos
- Developing Brain Institute, Children’s National Hospital, Washington, DC USA
- Department of Pediatrics, School of Medicine and Health Sciences, the George Washington University, Washington, DC USA
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17
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Sawada K. Neurogenesis of Subventricular Zone Progenitors in the Premature Cortex of Ferrets Facilitated by Neonatal Valproic Acid Exposure. Int J Mol Sci 2022; 23:ijms23094882. [PMID: 35563273 PMCID: PMC9099828 DOI: 10.3390/ijms23094882] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 04/19/2022] [Accepted: 04/20/2022] [Indexed: 11/16/2022] Open
Abstract
The present study evaluated the neurogenesis of neonatal valproic acid (VPA) exposure on subventricular zone progenitors of the developing cerebral cortex in ferrets. VPA was injected at a dose of 200 µg/g of body weight into ferret infants on postnatal days 6 and 7. Two different thymidine analogues, 5-ethynyl-2′-deoxyuridine (EdU) and 5-bromo-2′-deoxyuridine (BrdU), were injected with a 48 h interval to label proliferating cells before and after VPA exposure. Two hours after BrdU injection, BrdU single- and EdU/BrdU double-labeled cells, but not EdU single-labeled cells, were significantly denser in both the inner and outer subventricular zones of VPA-exposed infants than in control infants. Notably, more than 97% of BrdU single- and EdU/BrdU double-labeled cells were immunopositive for Pax6, a stable marker for basal radial glia (bRG), in both groups. In contrast, the percentage of cells positively immunostained for Cux1, a postmitotic marker for upper-layer cortical neurons, in both EdU single- and BrdU single-labeled cells, was significantly higher in VPA-exposed infants than in control infants. These findings suggest that neonatal VPA exposure facilitates bRG proliferation, including self-renewal, followed by their differentiation into upper layer cortical neurons in the premature cortex of ferrets.
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Affiliation(s)
- Kazuhiko Sawada
- Department of Nutrition, Faculty of Medical and Health Sciences, Tsukuba International University, Tsuchiura 300-0051, Ibaraki, Japan
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18
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Ferracuti S, Del Casale A, Romano A, Gualtieri I, Lucignani M, Napolitano A, Modesti MN, Buscajoni A, Zoppi T, Kotzalidis GD, Manelfi L, de Pisa E, Girardi P, Mandarelli G, Parmigiani G, Rossi-Espagnet MC, Pompili M, Bozzao A. Correlations between cortical gyrification and schizophrenia symptoms with and without comorbid hostility symptoms. Front Psychiatry 2022; 13:1092784. [PMID: 36684000 PMCID: PMC9846757 DOI: 10.3389/fpsyt.2022.1092784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 12/12/2022] [Indexed: 01/06/2023] Open
Abstract
INTRODUCTION Interest in identifying the clinical implications of the neuropathophysiological background of schizophrenia is rising, including changes in cortical gyrification that may be due to neurodevelopmental abnormalities. Inpatients with schizophrenia can show abnormal gyrification of cortical regions correlated with the symptom severity. METHODS Our study included 36 patients that suffered an acute episode of schizophrenia and have undergone structural magnetic resonance imaging (MRI) to calculate the local gyrification index (LGI). RESULTS In the whole sample, the severity of symptoms significantly correlated with higher LGI in different cortical areas, including bilateral frontal, cingulate, parietal, temporal cortices, and right occipital cortex. Among these areas, patients with low hostility symptoms (LHS) compared to patients with high hostility symptoms (HHS) showed significantly lower LGI related to the severity of symptoms in bilateral frontal and temporal lobes. DISCUSSION The severity of psychopathology correlated with higher LGI in large portions of the cerebral cortex, possibly expressing abnormal neural development in schizophrenia. These findings could pave the way for further studies and future tailored diagnostic and therapeutic strategies.
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Affiliation(s)
- Stefano Ferracuti
- Department of Human Neuroscience, Faculty of Medicine and Dentistry, Sapienza University, Rome, Italy.,Unit of Risk Management, Sant'Andrea University Hospital, Rome, Italy
| | - Antonio Del Casale
- Department of Dynamic and Clinical Psychology, and Health Studies, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy.,Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy
| | - Andrea Romano
- Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy.,Unit of Neuroradiology, Sant'Andrea University Hospital, Rome, Italy
| | - Ida Gualtieri
- Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy
| | | | | | - Martina Nicole Modesti
- Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy.,Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy
| | - Andrea Buscajoni
- Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy
| | - Teodolinda Zoppi
- Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy
| | - Georgios D Kotzalidis
- Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy
| | - Lorenza Manelfi
- Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy
| | - Eleonora de Pisa
- Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy.,Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy
| | - Paolo Girardi
- Department of Dynamic and Clinical Psychology, and Health Studies, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy.,Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy
| | - Gabriele Mandarelli
- Department of Interdisciplinary Medicine, Section of Criminology and Forensic Psychiatry, University of Bari, Bari, Italy
| | - Giovanna Parmigiani
- Department of Human Neuroscience, Faculty of Medicine and Dentistry, Sapienza University, Rome, Italy
| | - Maria Camilla Rossi-Espagnet
- Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy.,Department of Interdisciplinary Medicine, Section of Criminology and Forensic Psychiatry, University of Bari, Bari, Italy
| | - Maurizio Pompili
- Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy.,Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy
| | - Alessandro Bozzao
- Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy.,Unit of Neuroradiology, Sant'Andrea University Hospital, Rome, Italy
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19
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NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns. Med Image Anal 2021; 77:102316. [PMID: 34979433 DOI: 10.1016/j.media.2021.102316] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 11/21/2021] [Accepted: 11/23/2021] [Indexed: 11/21/2022]
Abstract
Increasing evidence suggests that cortical folding patterns of human cerebral cortex manifest overt structural and functional differences. However, for interpretability, few studies leverage advanced techniques (e.g., deep learning) to investigate the difference among cortical folds, resulting in more differences yet to be extensively explored. To this end, we proposed an effective topology-preserving transfer learning framework to differentiate cortical fMRI time series extracted from cortical folds. Our framework consists of three main parts: (1) Neural architecture search (NAS), which is used to devise a well-performing network structure based on an initialized hand-designed super-graph in an image dataset; (2) Topology-preserving transfer, which takes the model searched by NAS as the source network, keeping the topological connectivity in the network unchanged, while transforming all 2D operations including convolution and pooling into 1D, therefore resulting in a topology-preserving network, named TPNAS-Net; (3) Classification and correlation analysis, which involves using the TPNAS-Net to classify 1D cortical fMRI time series for each individual brain, and performing a group difference analysis between autism spectrum disorder (ASD) and healthy control (HC) and correlation analysis with clinical information (i.e., age). Extensive experiments on two ASD datasets obtain consistent results, demonstrating that the TPNAS-Net not only discriminates cortical folding patterns at high classification accuracy, but also captures subtle differences between ASD and HC (p-value = 0.042). In addition, we discover that there is a positive correlation between the classification accuracy and age in ASD (r = 0.39, p-value = 0.04). These findings together suggest that structural and functional differences in cortical folding patterns between ASD and HC may provide a potentially useful biomarker for the diagnosis of ASD.
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20
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Denervaud S, Korff C, Fluss J, Kalser J, Roulet-Perez E, Hagmann P, Lebon S. Structural brain abnormalities in epilepsy with myoclonic atonic seizures. Epilepsy Res 2021; 177:106771. [PMID: 34562678 DOI: 10.1016/j.eplepsyres.2021.106771] [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: 06/01/2021] [Revised: 08/22/2021] [Accepted: 09/19/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE Epilepsy with myoclonic atonic seizure (EMAS) occurs in young children with previously normal to subnormal development. The outcome ranges from seizure freedom with preserved cognitive abilities to refractory epilepsy with intellectual disability (ID). Routine brain imaging typically shows no abnormalities. We aimed to compare the brain morphometry of EMAS patients with healthy subjects several years after epilepsy onset, and to correlate it to epilepsy severity and cognitive findings. METHODS Fourteen EMAS patients (4 females, 5-14 years) and 14 matched healthy controls were included. Patients were classified into three outcome groups (good, intermediate, poor) according to seizure control and cognitive and behavioral functioning. Individual anatomical data (T1-weighted sequence) were processed using the FreeSurfer pipeline. Cortical volume (CV), cortical thickness (CT), local gyrification index (LGI), and subcortical volumes were used for group-comparison and linear regression analyses. RESULTS Morphometric comparison between EMAS patients and healthy controls revealed that patients have 1) reduced CV in frontal, temporal and parietal lobes (p = <.001; 0.009 and 0.024 respectively); 2) reduced CT and LGI in frontal lobes (p = 0.036 and 0.032 respectively); and 3) a neat cerebellar volume reduction (p = 0.011). Neither the number of anti-seizure medication nor the duration of epilepsy was related to cerebellar volume (both p > 0.62). Poor outcome group was associated with lower LGI. Patients in good and intermediate outcome groups had a comparable LGI to their matched healthy controls (p > 0.27 for all lobes). CONCLUSIONS Structural brain differences were detectable in our sample of children with EMAS, mainly located in the frontal lobes and cerebellum. These findings are similar to those found in patients with genetic/idiopathic generalized epilepsies. Outcome groups correlated best with LGI. Whether these anatomical changes reflect genetically determined abnormal neuronal networks or a consequence of sustained epilepsy remains to be solved with prospective longitudinal studies.
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Affiliation(s)
- Solange Denervaud
- Radiology Department, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland
| | - Christian Korff
- Pediatric Neurology Unit, Geneva Children's Hospital, Geneva, Switzerland
| | - Joël Fluss
- Pediatric Neurology Unit, Geneva Children's Hospital, Geneva, Switzerland
| | - Judith Kalser
- Pediatric Neurology and Neurorehabilitation Unit, Woman-Mother-Child Department, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland
| | - Eliane Roulet-Perez
- Pediatric Neurology and Neurorehabilitation Unit, Woman-Mother-Child Department, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland
| | - Patric Hagmann
- Radiology Department, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland; Connectomics Lab, Department of Radiology, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland
| | - Sébastien Lebon
- Pediatric Neurology and Neurorehabilitation Unit, Woman-Mother-Child Department, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland.
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21
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Gharehgazlou A, Vandewouw M, Ziolkowski J, Wong J, Crosbie J, Schachar R, Nicolson R, Georgiades S, Kelley E, Ayub M, Hammill C, Ameis SH, Taylor MJ, Lerch JP, Anagnostou E. Cortical Gyrification Morphology in ASD and ADHD: Implication for Further Similarities or Disorder-Specific Features? Cereb Cortex 2021; 32:2332-2342. [PMID: 34550324 PMCID: PMC9157290 DOI: 10.1093/cercor/bhab326] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Shared etiological pathways are suggested in ASD and ADHD given high rates of comorbidity, phenotypic overlap and shared genetic susceptibility. Given the peak of cortical gyrification expansion and emergence of ASD and ADHD symptomology in early development, we investigated gyrification morphology in 539 children and adolescents (6–17 years of age) with ASD (n=197) and ADHD (n=96) compared to typically developing controls (n=246) using the local Gyrification Index (lGI) to provide insight into contributing etiopathological factors in these two disorders. We also examined IQ effects and functional implications of gyrification by exploring the relation between lGI and ASD and ADHD symptomatology beyond diagnosis. General Linear Models yielded no group differences in lGI, and across groups, we identified an age-related decrease of lGI and greater lGI in females compared to males. No diagnosis-by-age interactions were found. Accounting for IQ variability in the model (n=484) yielded similar results. No significant associations were found between lGI and social communication deficits, repetitive and restricted behaviours, inattention or adaptive functioning. By examining both disorders and controls using shared methodology, we found no evidence of atypicality in gyrification as measured by the lGI in these conditions.
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Affiliation(s)
- Avideh Gharehgazlou
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto M4G 1R8, Canada.,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto M5S 1A8, Canada
| | - Marlee Vandewouw
- Neuroscience & Mental Health Program, Hospital for Sick Children Research Institute, Toronto M5G 0A4, Canada.,Diagnostic Imaging, The Hospital for Sick Children, Toronto M5G 1X8, Canada.,Autism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto M4G 1R8, Canada.,Institute of Biomedical Engineering, University of Toronto, Toronto M5S 3G9, Canada
| | - Justine Ziolkowski
- Neuroscience & Mental Health Program, Hospital for Sick Children Research Institute, Toronto M5G 0A4, Canada.,Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal H4H 1R3, Canada.,Integrated Program in Neuroscience, McGill University, Montreal H3A 1A1, Canada
| | - Jimmy Wong
- Centre for Addiction and Mental Health, Toronto M6J 1H4, Canada
| | - Jennifer Crosbie
- Department of Psychiatry, University of Toronto, Toronto M5T 1R8, Canada.,Psychiatry Research, The Hospital for Sick Children, Toronto M5G 1X8, Canada
| | - Russell Schachar
- Department of Psychiatry, University of Toronto, Toronto M5T 1R8, Canada.,Department of Psychiatry, The Hospital for Sick Children, Toronto M5G 1X8, Canada
| | - Rob Nicolson
- The Children's Health Research Institute and Western University, London N6C 2V5, Canada
| | - Stelios Georgiades
- Offord Centre for Child Studies & Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton L8N 3K7, Canada
| | - Elizabeth Kelley
- Department of Psychology, Queen's University, Kingston K7L 3N6, Canada
| | - Muhammad Ayub
- Department of Psychiatry, Queen's University, Kingston K7L7X3, Canada
| | - Christopher Hammill
- Neuroscience & Mental Health Program, Hospital for Sick Children Research Institute, Toronto M5G 0A4, Canada.,Mouse Imaging Centre, Hospital for Sick Children, Toronto M5T 3H7, Canada
| | - Stephanie H Ameis
- Program in Brain and Mental Health, The Hospital for Sick Children, Toronto M5G 1X8 , Canada.,The Margaret and Wallace McCain Centre for Child, Youth, & Family Mental Health, Campbell Family Mental Health Research Institute, The Centre for Addiction and Mental Health, Toronto M6J 1H4, Canada.,Department of Psychiatry, University of Toronto, Toronto M5T 1R8, Canada
| | - Margot J Taylor
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto M5S 1A8, Canada.,Neuroscience & Mental Health Program, Hospital for Sick Children Research Institute, Toronto M5G 0A4, Canada.,Diagnostic Imaging, The Hospital for Sick Children, Toronto M5G 1X8, Canada.,Department of Medical Imaging, University of Toronto, Toronto M5T 1W7, Canada
| | - Jason P Lerch
- Neuroscience & Mental Health Program, Hospital for Sick Children Research Institute, Toronto M5G 0A4, Canada.,Department of Medical Biophysics, University of Toronto, Toronto M5G 1L7, Canada.,Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK
| | - Evdokia Anagnostou
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto M4G 1R8, Canada.,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto M5S 1A8, Canada.,Department of Pediatrics, University of Toronto, Toronto M5G 1X8, Canada.,Neuroscience & Mental Health Program, Hospital for Sick Children Research Institute, Toronto M5G 0A4, Canada
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22
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Sanfelici R, Ruef A, Antonucci LA, Penzel N, Sotiras A, Dong MS, Urquijo-Castro M, Wenzel J, Kambeitz-Ilankovic L, Hettwer MD, Ruhrmann S, Chisholm K, Riecher-Rössler A, Falkai P, Pantelis C, Salokangas RKR, Lencer R, Bertolino A, Kambeitz J, Meisenzahl E, Borgwardt S, Brambilla P, Wood SJ, Upthegrove R, Schultze-Lutter F, Koutsouleris N, Dwyer DB. Novel Gyrification Networks Reveal Links with Psychiatric Risk Factors in Early Illness. Cereb Cortex 2021; 32:1625-1636. [PMID: 34519351 DOI: 10.1093/cercor/bhab288] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 07/12/2021] [Accepted: 07/13/2021] [Indexed: 12/13/2022] Open
Abstract
Adult gyrification provides a window into coordinated early neurodevelopment when disruptions predispose individuals to psychiatric illness. We hypothesized that the echoes of such disruptions should be observed within structural gyrification networks in early psychiatric illness that would demonstrate associations with developmentally relevant variables rather than specific psychiatric symptoms. We employed a new data-driven method (Orthogonal Projective Non-Negative Matrix Factorization) to delineate novel gyrification-based networks of structural covariance in 308 healthy controls. Gyrification within the networks was then compared to 713 patients with recent onset psychosis or depression, and at clinical high-risk. Associations with diagnosis, symptoms, cognition, and functioning were investigated using linear models. Results demonstrated 18 novel gyrification networks in controls as verified by internal and external validation. Gyrification was reduced in patients in temporal-insular, lateral occipital, and lateral fronto-parietal networks (pFDR < 0.01) and was not moderated by illness group. Higher gyrification was associated with better cognitive performance and lifetime role functioning, but not with symptoms. The findings demonstrated that gyrification can be parsed into novel brain networks that highlight generalized illness effects linked to developmental vulnerability. When combined, our study widens the window into the etiology of psychiatric risk and its expression in adulthood.
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Affiliation(s)
- Rachele Sanfelici
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, 80336, Germany.,Max Planck School of Cognition, Leipzig, 04103, Germany
| | - Anne Ruef
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, 80336, Germany
| | - Linda A Antonucci
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, 80336, Germany.,Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, 70124, Italy
| | - Nora Penzel
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, 50937, Germany
| | - Aristeidis Sotiras
- Department of Radiology and Institute of Informatics, Washington University in St. Luis, st. Luis, MO63110, USA
| | - Mark Sen Dong
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, 80336, Germany
| | - Maria Urquijo-Castro
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, 80336, Germany
| | - Julian Wenzel
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, 50937, Germany
| | - Lana Kambeitz-Ilankovic
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, 80336, Germany.,Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, 50937, Germany
| | | | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, 50937, Germany
| | - Katharine Chisholm
- Institute for Mental Health, University of Birmingham, Birmingham, B15 2TT, UK.,Department of Psychology, Aston University, Birmingham, B4 7ET, UK
| | | | - Peter Falkai
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, 80336, Germany.,Max-Planck Institute of Psychiatry, Munich, 80804, Germany
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centrem University of Melbourne & Melbourne Health, Melbourne, 3053, Australia
| | | | - Rebekka Lencer
- Department of Psychiatry and Psychotherapy, University of Münster, Münster, 48149, Germany.,Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, 23538, Germany
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, 70124, Italy
| | - Joseph Kambeitz
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, 50937, Germany
| | - Eva Meisenzahl
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, 40629, Germany
| | - Stefan Borgwardt
- Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, 23538, Germany.,Department of Psychiatry (Psychiatric University Hospital, UPK), University of Basel, Basel, 4002, Switzerland
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Grande Ospedale Maggiore Policlinico, Milano, 20122, Italy.,Department of Pathophysiology and Transplantation, University of Milan, Milan, 20122, Italy
| | - Stephen J Wood
- Centre for Youth Mental Health, University of Melbourne, Melbourne, 3052, Australia.,Orygen, Melbourne, 3052, Australia.,School of Psychology, University of Birmingham, Birmingham, B15 2TT, UK
| | - Rachel Upthegrove
- Institute for Mental Health, University of Birmingham, Birmingham, B15 2TT, UK.,Early Intervention Service, Birmingham Women's and Children's NHS foundation Trust, Birmingham, B4 6NH, UK
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, 40629, Germany.,Department of Psychology and Mental Health, Faculty of Psychology, Airlangga University, Surubaya, 60286, Indonesia.,University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, 3000, Switzerland
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, 80336, Germany.,Max-Planck Institute of Psychiatry, Munich, 80804, Germany.,Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Dominic B Dwyer
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, 80336, Germany
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23
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Guo Y, Ortug A, Sadberry R, Rezayev A, Levman J, Shiohama T, Takahashi E. Symptom-Related Differential Neuroimaging Biomarkers in Children with Corpus Callosum Abnormalities. Cereb Cortex 2021; 31:4916-4932. [PMID: 34289021 DOI: 10.1093/cercor/bhab131] [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: 11/12/2020] [Revised: 04/09/2021] [Accepted: 04/12/2021] [Indexed: 01/23/2023] Open
Abstract
We aimed to identify symptom-related neuroimaging biomarkers for patients with dysgenesis of the corpus callosum (dCC) by summarizing neurological symptoms reported in clinical evaluations and correlating them with retrospectively collected structural/diffusion brain magnetic resonance imaging (MRI) measures from 39 patients/controls (mean age 8.08 ± 3.98). Most symptoms/disorders studied were associated with CC abnormalities. Total brain (TB) volume was related to language, cognition, muscle tone, and metabolic/endocrine abnormalities. Although white matter (WM) volume was not related to symptoms studied, gray matter (GM) volume was related to cognitive, behavioral, and metabolic/endocrine disorders. Right hemisphere (RH) cortical thickness (CT) was linked to language abnormalities, while left hemisphere (LH) CT was linked to epilepsy. While RH gyrification index (GI) was not related to any symptoms studied, LH GI was uniquely related to cognitive disorders. Between patients and controls, GM volume and LH/RH CT were significantly greater in dCC patients, while WM volume and LH/RH GI were significantly greater in controls. TB volume and diffusion indices for tissue microstructures did not show differences between the groups. In summary, our brain MRI-based measures successfully revealed differential links to many symptoms. Specifically, LH GI abnormality can be a predictor for dCC patients, which is uniquely associated with the patients' symptom. In addition, patients with CC abnormalities had normal TB volume and overall tissue microstructures, with potentially deteriorated mechanisms to expand/fold the brain, indicated by GI.
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Affiliation(s)
- Yurui Guo
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Alpen Ortug
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Rodney Sadberry
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Department of Behavioral Neuroscience, Northeastern University, Boston, MA 02215, USA
| | - Arthur Rezayev
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Department of Biology, Boston University, Boston, MA 02215, USA
| | - Jacob Levman
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Department of Mathematics, Statistics and Computer Science, St. Francis Xavier University, Antigonish, NS B2G 2W5, Canada
| | - Tadashi Shiohama
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Department of Pediatrics, Chiba University Hospital, Chiba 2608670, Japan
| | - Emi Takahashi
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
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24
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Li L, Zuo Y, Chen Y. Relationship between local gyrification index and age, intelligence quotient, symptom severity with Autism Spectrum Disorder: A large-scale MRI study. J Clin Neurosci 2021; 91:193-199. [PMID: 34373026 DOI: 10.1016/j.jocn.2021.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 06/28/2021] [Accepted: 07/04/2021] [Indexed: 11/25/2022]
Abstract
Gyrification is one of the most important characteristics in the cerebral cortex and the local gyrification index (LGI) was used to quantify the regional changes in gyrification. The aim of this study was to evaluate LGI alterations in autism spectrum disorder (ASD) individuals in comparison with typically developing (TD) controls and the association of the LGI with age, intelligence quotient (IQ), and symptom severity in a large multicenter dataset. Structural MRI datasets selected from Autism Brain Imaging Data Exchange I and II (ABIDE I and ABIDE II) repository (606 ASD individuals and 765 age-matched TD controls) were used to calculate LGI values. The correlation between the LGI and age, IQ, and other clinical measurements were assessed. No differences in LGI were found between ASD individuals and TD controls after FDR multiple comparison correction, however, LGI decreased with age in both ASD and TD groups. In the TD group, a significant positive correlation was found between the LGI and full IQ (FIQ) in the parahippocampal gyrus, parsopercularis of left hemisphere and entorhinal cortex, parahippocampal, superior temporal gyrus of right hemisphere, but was not observed in the ASD group. Furthermore, a positive correlation between the LGI and Autism Diagnostic Interview-Revised (ADI-R) Repetitive and Restrictive Behaviors (RRB) score was found in the left inferior parietal lobule, lateral occipital cortex, superior frontal gyrus and right superior frontal gyrus, inferior temporal gyrus. In summary, these results demonstrate that the ASD is a truly heterogeneous neurodevelopmental disorder. Future investigations are required that group ASD patients into more homogeneous subtypes.
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Affiliation(s)
- Lin Li
- Human Anatomy Department, Nanjing Medical University, No.101 Longmian Avenue, Jiangning District, Nanjing 211166, Jiangsu, PR China.
| | - Yizhi Zuo
- Human Anatomy Department, Nanjing Medical University, No.101 Longmian Avenue, Jiangning District, Nanjing 211166, Jiangsu, PR China.
| | - Yiyong Chen
- School of Medicine, Ningbo University, No. 818 Fenghua Road, Jiangbei District, Ningbo 315211, Zhejiang, PR China.
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25
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Zoltowski AR, Lyu I, Failla M, Mash LE, Dunham K, Feldman JI, Woynaroski TG, Wallace MT, Barquero LA, Nguyen TQ, Cutting LE, Kang H, Landman BA, Cascio CJ. Cortical Morphology in Autism: Findings from a Cortical Shape-Adaptive Approach to Local Gyrification Indexing. Cereb Cortex 2021; 31:5188-5205. [PMID: 34195789 DOI: 10.1093/cercor/bhab151] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 04/09/2021] [Accepted: 05/04/2021] [Indexed: 11/14/2022] Open
Abstract
It has been challenging to elucidate the differences in brain structure that underlie behavioral features of autism. Prior studies have begun to identify patterns of changes in autism across multiple structural indices, including cortical thickness, local gyrification, and sulcal depth. However, common approaches to local gyrification indexing used in prior studies have been limited by low spatial resolution relative to functional brain topography. In this study, we analyze the aforementioned structural indices, utilizing a new method of local gyrification indexing that quantifies this index adaptively in relation to specific sulci/gyri, improving interpretation with respect to functional organization. Our sample included n = 115 autistic and n = 254 neurotypical participants aged 5-54, and we investigated structural patterns by group, age, and autism-related behaviors. Differing structural patterns by group emerged in many regions, with age moderating group differences particularly in frontal and limbic regions. There were also several regions, particularly in sensory areas, in which one or more of the structural indices of interest either positively or negatively covaried with autism-related behaviors. Given the advantages of this approach, future studies may benefit from its application in hypothesis-driven examinations of specific brain regions and/or longitudinal studies to assess brain development in autism.
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Affiliation(s)
- Alisa R Zoltowski
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA
| | - Ilwoo Lyu
- Department of Computer Science and Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, South Korea
| | - Michelle Failla
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37212, USA.,College of Nursing, Ohio State University, Columbus, OH 43210, USA
| | - Lisa E Mash
- San Diego Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego, CA 92120, USA
| | - Kacie Dunham
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA.,Department of Hearing and Speech Sciences, Vanderbilt University, Nashville, TN 37232, USA
| | - Jacob I Feldman
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA.,Frist Center for Autism and Innovation, Vanderbilt University, Nashville, TN 37212, USA
| | - Tiffany G Woynaroski
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA.,Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA.,Frist Center for Autism and Innovation, Vanderbilt University, Nashville, TN 37212, USA.,Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Mark T Wallace
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA.,Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37212, USA.,Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA.,Frist Center for Autism and Innovation, Vanderbilt University, Nashville, TN 37212, USA.,Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA.,Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA.,Department of Psychology and Human Development, Vanderbilt University, Nashville, TN 37203, USA
| | - Laura A Barquero
- Department of Psychology and Human Development, Vanderbilt University, Nashville, TN 37203, USA
| | - Tin Q Nguyen
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA.,Department of Special Education, Vanderbilt University, Nashville, TN 37203, USA
| | - Laurie E Cutting
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA.,Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA.,Department of Psychology and Human Development, Vanderbilt University, Nashville, TN 37203, USA.,Department of Special Education, Vanderbilt University, Nashville, TN 37203, USA.,Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA.,Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Hakmook Kang
- Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA.,Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Bennett A Landman
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA.,Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37212, USA.,Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA.,Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA.,Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA.,Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37212, USA
| | - Carissa J Cascio
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA.,Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37212, USA.,Frist Center for Autism and Innovation, Vanderbilt University, Nashville, TN 37212, USA.,Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA.,Department of Psychology and Human Development, Vanderbilt University, Nashville, TN 37203, USA
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26
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Fulong X, Karen S, Xiaosong D, Zhaolong C, Jun Z, Fang H. Morphological and Age-Related Changes in the Narcolepsy Brain. Cereb Cortex 2021; 31:5460-5469. [PMID: 34165139 DOI: 10.1093/cercor/bhab171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 05/03/2021] [Accepted: 05/24/2021] [Indexed: 11/12/2022] Open
Abstract
Morphological changes in the cortex of narcolepsy patients were investigated by surface-based morphometry analysis in this study. Fifty-one type 1 narcolepsy patients and 60 demographically group-matched healthy controls provided resting-state functional and high-resolution 3T anatomical magnetic resonance imaging scans. Vertex-level cortical thickness (CT), gyrification, and voxel-wise functional connectivity were calculated. Adolescent narcolepsy patients showed decreased CT in bilateral frontal cortex and left precuneus. Adolescent narcolepsy demonstrated increased gyrification in left occipital lobe, left precuneus, and right fusiform but decreased gyrification in left postcentral gyrus, whereas adult narcolepsy exhibited increased gyrification in left temporal lobe and right frontal cortex. Furthermore, sleepiness severity was associated with altered CT and gyrification. Increased gyrification was associated with reduced long-range functional connectivity. In adolescent patients, those with more severe sleepiness showed increased right postcentral gyrification. Decreased frontal and occipital gyrification was found in cases with hallucination. In adult patients, a wide range of regions showed reduced gyrification in those with adolescence-onset compared adult-onset narcolepsy patients. Particularly the frontal lobes showed altered brain morphology, being a thinner cortex and more gyri. The impact of narcolepsy on age-related brain morphological changes may remain from adolescence to young adulthood, and it was especially exacerbated in adolescence.
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Affiliation(s)
- Xiao Fulong
- Department of General Internal Medicine, Peking University People's Hospital, Beijing 100044, People's Republic of China
| | - Spruyt Karen
- Lyon Neuroscience Research Center, INSERM, U1028-CNRS UMR 5292, School of Medicine, University Claude Bernard, Lyon, France
| | - Dong Xiaosong
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, People's Republic of China
| | - Cao Zhaolong
- Department of General Internal Medicine, Peking University People's Hospital, Beijing 100044, People's Republic of China
| | - Zhang Jun
- Department of Neurology, Peking University People's Hospital, Beijing 100044, People's Republic of China
| | - Han Fang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, People's Republic of China
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27
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Wang Y, Khorashad BS, Feusner JD, Savic I. Cortical Gyrification in Transgender Individuals. Cereb Cortex 2021; 31:3184-3193. [PMID: 33718960 PMCID: PMC8324983 DOI: 10.1093/cercor/bhaa412] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 12/20/2020] [Accepted: 12/23/2020] [Indexed: 12/26/2022] Open
Abstract
Gender incongruence (GI) is characterized by a feeling of estrangement from the own body in the context of self. GI is often described in people who identify as transgender. The underlying mechanisms are unknown. Data from MRI measurements and tests of own body perception triggered us to pose a model that GI in transgender persons (TGI) could be associated with a disconnection within the brain circuits mediating the perception of own body as self. This is a departure from a previous model of sex atypical cerebral dimorphism, introducing a concept that better accords with a core feature of TGI. The present MRI study of 54 hormone naive transmen (TrM), 38 transwomen (TrW), 44 cismen and 41 ciswomen show that cortical gyrification, a metric that reflects early maturation of cerebral cortex, is significantly lower in transgender compared with cisgender participants. This reduction is limited to the occipito-parietal cortex and the sensory motor cortex, regions encoding own body image and body ownership. Moreover, the cortical gyrification correlated inversely with own body-self incongruence in these regions. These novel data suggest that GI in TGI may originate in the neurodevelopment of body image encoding regions. The results add potentially to understanding neurobiological contributors to gender identity.
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Affiliation(s)
- Yanlu Wang
- Department of Clinical Science, Intervention and Technology, Karolinska Institute, Stockholm 171 77, Sweden
- MR Physics, Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Stockholm 171 76, Sweden
| | - Behzad S Khorashad
- Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Jamie D Feusner
- Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm 171 77, Sweden
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Ivanka Savic
- Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm 171 77, Sweden
- Department of Neurology, University of California Los Angeles, Los Angeles, CA 90095-6975, USA
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28
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Sawada K, Kamiya S, Aoki I. Neonatal valproic acid exposure produces altered gyrification related to increased parvalbumin-immunopositive neuron density with thickened sulcal floors. PLoS One 2021; 16:e0250262. [PMID: 33878144 PMCID: PMC8057614 DOI: 10.1371/journal.pone.0250262] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 04/01/2021] [Indexed: 12/30/2022] Open
Abstract
Valproic acid (VPA) treatment is associated with autism spectrum disorder in humans, and ferrets can be used as a model to test this; so far, it is not known whether ferrets react to developmental VPA exposure with gyrencephalic abnormalities. The current study characterized gyrification abnormalities in ferrets following VPA exposure during neonatal periods, corresponding to the late stage of cortical neurogenesis as well as the early stage of sulcogyrogenesis. Ferret pups received intraperitoneal VPA injections (200 μg/g of body weight) on postnatal days (PD) 6 and 7. BrdU was administered simultaneously at the last VPA injection. Ex vivo MRI-based morphometry demonstrated significantly lower gyrification index (GI) throughout the cortex in VPA-treated ferrets (1.265 ± 0.027) than in control ferrets (1.327 ± 0.018) on PD 20, when primary sulcogyrogenesis is complete. VPA-treated ferrets showed significantly smaller sulcal-GIs in the rostral suprasylvian sulcus and splenial sulcus but a larger lateral sulcus surface area than control ferrets. The floor cortex of the inner stratum of both the rostral suprasylvian and splenial sulci and the outer stratum of the lateral sulcus showed a relatively prominent expansion. Parvalbumin-positive neuron density was significantly greater in the expanded cortical strata of sulcal floors in VPA-treated ferrets, regardless of the BrdU-labeled status. Thus, VPA exposure during the late stage of cortical neurogenesis may alter gyrification, primarily in the frontal and parietotemporal cortical divisions. Altered gyrification may thicken the outer or inner stratum of the cerebral cortex by increasing parvalbumin-positive neuron density.
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Affiliation(s)
- Kazuhiko Sawada
- Department of Nutrition, Faculty of Medical and Health Sciences, Tsukuba International University, Tsuchiura, Ibaraki, Japan
- * E-mail: (KS); (IA)
| | - Shiori Kamiya
- Department of Nutrition, Faculty of Medical and Health Sciences, Tsukuba International University, Tsuchiura, Ibaraki, Japan
| | - Ichio Aoki
- Department of Molecular Imaging and Theranostics, NIRS, National Institutes for Quantum and Radiological Science and Technology (QST), Chib, Japan
- * E-mail: (KS); (IA)
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29
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Wolf RC, Hildebrandt V, Schmitgen MM, Pycha R, Kirchler E, Macina C, Karner M, Hirjak D, Kubera KM, Romanov D, Freudenmann RW, Huber M. Aberrant Gray Matter Volume and Cortical Surface in Paranoid-Type Delusional Disorder. Neuropsychobiology 2021; 79:335-344. [PMID: 32160619 DOI: 10.1159/000505601] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 12/24/2019] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Delusions are core symptoms of schizophrenia-spectrum and related disorders. Despite their clinical relevance, the neural correlates underlying such phenomena are unclear. Recent research suggests that specific delusional content may be associated with distinct neural substrates. OBJECTIVE Here, we used structural magnetic resonance imaging to investigate multiple parameters of brain morphology in patients presenting with paranoid type delusional disorder (pt-DD, n = 14) compared to those of healthy controls (HC, n = 25). METHODS Voxel- and surface-based morphometry for structural data was used to investigate gray matter volume (GMV), cortical thickness (CT) and gyrification. RESULTS Compared to HC, patients with pt-DD showed reduced GMV in bilateral amygdala and right inferior frontal gyrus. Higher GMV in patients was found in bilateral orbitofrontal and in left superior frontal cortices. Patients also had lower CT in frontal and temporal regions. Abnormal gyrification in patients was evident in frontal and temporal areas, as well as in bilateral insula. CONCLUSIONS The data suggest the presence of aberrant GMV in a right prefrontal region associated with belief evaluation, as well as distinct structural abnormalities in areas that essentially subserve processing of fear, anxiety and threat in patients with pt-DD. It is possible that cortical features of distinct evolutionary and genetic origin, i.e. CT and gyrification, contribute differently to the pathogenesis of pt-DD.
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Affiliation(s)
- Robert Christian Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany,
| | - Viviane Hildebrandt
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Mike M Schmitgen
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Roger Pycha
- Department of Psychiatry, General Hospital Bruneck, Bruneck, Italy
| | - Erwin Kirchler
- Department of Psychiatry, General Hospital Bruneck, Bruneck, Italy
| | - Christian Macina
- Department of Psychiatry, General Hospital Bruneck, Bruneck, Italy
| | - Martin Karner
- Department of Radiology, General Hospital Bruneck, Bruneck, Italy
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Dmitry Romanov
- Department of Psychiatry and Psychosomatics, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation
| | | | - Markus Huber
- Department of Psychiatry, General Hospital Bruneck, Bruneck, Italy
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30
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Gharehgazlou A, Freitas C, Ameis SH, Taylor MJ, Lerch JP, Radua J, Anagnostou E. Cortical Gyrification Morphology in Individuals with ASD and ADHD across the Lifespan: A Systematic Review and Meta-Analysis. Cereb Cortex 2021; 31:2653-2669. [PMID: 33386405 PMCID: PMC8023842 DOI: 10.1093/cercor/bhaa381] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 10/13/2020] [Accepted: 11/18/2020] [Indexed: 01/01/2023] Open
Abstract
Autism spectrum disorder (ASD) and attention-deficit hyperactivity disorder (ADHD) are common neurodevelopmental disorders (NDDs) that may impact brain maturation. A number of studies have examined cortical gyrification morphology in both NDDs. Here we review and when possible pool their results to better understand the shared and potentially disorder-specific gyrification features. We searched MEDLINE, PsycINFO, and EMBASE databases, and 24 and 10 studies met the criteria to be included in the systematic review and meta-analysis portions, respectively. Meta-analysis of local Gyrification Index (lGI) findings across ASD studies was conducted with SDM software adapted for surface-based morphometry studies. Meta-regressions were used to explore effects of age, sex, and sample size on gyrification differences. There were no significant differences in gyrification across groups. Qualitative synthesis of remaining ASD studies highlighted heterogeneity in findings. Large-scale ADHD studies reported no differences in gyrification between cases and controls suggesting that, similar to ASD, there is currently no evidence of differences in gyrification morphology compared with controls. Larger, longitudinal studies are needed to further clarify the effects of age, sex, and IQ on cortical gyrification in these NDDs.
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Affiliation(s)
- Avideh Gharehgazlou
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.,Faculty of Medicine, Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Carina Freitas
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.,Faculty of Medicine, Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Stephanie H Ameis
- Neuroscience & Mental Health Program, Hospital for Sick Children Research Institute, Toronto, ON, Canada.,The Margaret and Wallace McCain Centre for Child, Youth, & Family Mental Health, Campbell Family Mental Health Research Institute, The Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Margot J Taylor
- Faculty of Medicine, Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Neuroscience & Mental Health Program, Hospital for Sick Children Research Institute, Toronto, ON, Canada.,Diagnostic Imaging, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Jason P Lerch
- Neuroscience & Mental Health Program, Hospital for Sick Children Research Institute, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, UK
| | - Joaquim Radua
- Imaging Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Mental Health Research Networking Center (CIBERSAM), Barcelona, Spain.,Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.,Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Evdokia Anagnostou
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.,Faculty of Medicine, Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Neuroscience & Mental Health Program, Hospital for Sick Children Research Institute, Toronto, ON, Canada.,Department of Pediatrics, University of Toronto, Toronto, ON, Canada
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31
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Chen J, Wei Z, Liang C, Liu B, Guo J, Kong X, Huang M, Peng Z, Wan G. Dysfunction of the Auditory Brainstem as a Neurophysiology Subtype of Autism Spectrum Disorder. Front Neurosci 2021; 15:637079. [PMID: 33815042 PMCID: PMC8010248 DOI: 10.3389/fnins.2021.637079] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 02/19/2021] [Indexed: 12/27/2022] Open
Abstract
Autism spectrum disorder (ASD) is very heterogeneous, particularly in language. Studies have suggested that language impairment is linked to auditory-brainstem dysfunction in ASD. However, not all ASD children have these deficits, which suggests potential subtypes of ASD. We classified ASD children into two subtypes according to their speech-evoked auditory brainstem response (speech-ABR) and explored the neural substrates for possible subtypes. Twenty-nine children with ASD and 25 typically developing (TD) peers were enrolled to undergo speech-ABR testing and structural magnetic resonance imaging (sMRI). There were significant differences between the ASD group and TD group in surface area, cortical volume and cortical thickness. According to speech-ABR results, ASD participants were divided into the ASD-typical (ASD-T) group and ASD-atypical (ASD-A) group. Compared with the ASD-T group, the ASD-A group had a lower score in language of the Gesell Developmental Diagnosis Scale (GDDS), increased left rostral middle frontal gyrus (lRMFG) area and decreased local gyrification index of the right superior temporal gyrus. GDDS-language and surface area of lRMFG were correlated to the wave-A amplitude in ASD. Surface area of lRMFG had an indirect effect on language performance via alteration of the wave-V amplitude. Thus, cortical deficits may impair language ability in children with ASD by causing subcortical dysfunction at preschool age. These evidences support dysfunction of the auditory brainstem as a potential subtype of ASD. Besides, this subtype-based method may be useful for various clinical applications.
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Affiliation(s)
- Jierong Chen
- Department of Child Psychiatry and Rehabilitation, Affiliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Zhen Wei
- Department of Child Psychiatry and Rehabilitation, Affiliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Chun Liang
- Department of Child Psychiatry and Rehabilitation, Affiliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Binguang Liu
- Department of Radiology, Affiliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Jimin Guo
- Department of Radiology, Affiliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Xuejun Kong
- Martinos Center, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States
| | - Minshi Huang
- Department of Child Psychiatry and Rehabilitation, Affiliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Ziwen Peng
- Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China
| | - Guobin Wan
- Department of Child Psychiatry and Rehabilitation, Affiliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
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32
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Sasabayashi D, Takahashi T, Takayanagi Y, Suzuki M. Anomalous brain gyrification patterns in major psychiatric disorders: a systematic review and transdiagnostic integration. Transl Psychiatry 2021; 11:176. [PMID: 33731700 PMCID: PMC7969935 DOI: 10.1038/s41398-021-01297-8] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Revised: 02/14/2021] [Accepted: 02/24/2021] [Indexed: 01/31/2023] Open
Abstract
Anomalous patterns of brain gyrification have been reported in major psychiatric disorders, presumably reflecting their neurodevelopmental pathology. However, previous reports presented conflicting results of patients having hyper-, hypo-, or normal gyrification patterns and lacking in transdiagnostic consideration. In this article, we systematically review previous magnetic resonance imaging studies of brain gyrification in schizophrenia, bipolar disorder, major depressive disorder, and autism spectrum disorder at varying illness stages, highlighting the gyral pattern trajectory for each disorder. Patients with each psychiatric disorder may exhibit deviated primary gyri formation under neurodevelopmental genetic control in their fetal life and infancy, and then exhibit higher-order gyral changes due to mechanical stress from active brain changes (e.g., progressive reduction of gray matter volume and white matter integrity) thereafter, representing diversely altered pattern trajectories from those of healthy controls. Based on the patterns of local connectivity and changes in neurodevelopmental gene expression in major psychiatric disorders, we propose an overarching model that spans the diagnoses to explain how deviated gyral pattern trajectories map onto clinical manifestations (e.g., psychosis, mood dysregulation, and cognitive impairments), focusing on the common and distinct gyral pattern changes across the disorders in addition to their correlations with specific clinical features. This comprehensive understanding of the role of brain gyrification pattern on the pathophysiology may help to optimize the prediction and diagnosis of psychiatric disorders using objective biomarkers, as well as provide a novel nosology informed by neural circuits beyond the current descriptive diagnostics.
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Affiliation(s)
- Daiki Sasabayashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan. .,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan.
| | - Tsutomu Takahashi
- grid.267346.20000 0001 2171 836XDepartment of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan ,grid.267346.20000 0001 2171 836XResearch Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Yoichiro Takayanagi
- grid.267346.20000 0001 2171 836XDepartment of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan ,Arisawabashi Hospital, Toyama, Japan
| | - Michio Suzuki
- grid.267346.20000 0001 2171 836XDepartment of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan ,grid.267346.20000 0001 2171 836XResearch Center for Idling Brain Science, University of Toyama, Toyama, Japan
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33
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Haendel AD, Barrington A, Magnus B, Arias AA, McVey A, Pleiss S, Carson A, Vogt EM, Van Hecke AV. Changes in Electroencephalogram Coherence in Adolescents With Autism Spectrum Disorder After a Social Skills Intervention. Autism Res 2021; 14:787-803. [PMID: 33398936 DOI: 10.1002/aur.2459] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 12/07/2020] [Accepted: 12/08/2020] [Indexed: 11/11/2022]
Abstract
Autism spectrum disorder (ASD) is a developmental condition that affects social communication and behavior. There is consensus that neurological differences are present in ASD. Further, theories emphasize the mixture of hypo- and hyper-connectivity as a neuropathologies in ASD [O'Reilly, Lewis, & Elsabbagh, 2017]; however, there is a paucity of studies specifically testing neurological underpinnings as predictors of success on social skills interventions. This study examined functional neural connectivity (electroencephalogram [EEG], coherence) of adolescents with ASD before and after the Program for the Education and Enrichment of Relational Skills (PEERS®) intervention, using a randomized controlled trial of two groups: an Experimental ASD (EXP) Group and a Waitlist Control ASD (WL) Group. The study had two purposes. First, the study aimed to determine whether changes in EEG coherence differed for adolescents that received PEERS® versus those that did not receive PEERS®. Results revealed a significant increase in connectivity in the occipital left to temporal left pair for the EXP group after intervention. Second, the study aimed to determine if changes in EEG coherence related to changes in behavior, friendships, and social skills measured by questionnaires. At post-intervention, results indicated: (a) positive change in frontal right to parietal right coherence was linked to an increase in social skills scores; and (b) positive changes in occipital right to temporal right coherence and occipital left to parietal left coherence were linked to an increase in the total number of get-togethers. Results of this study support utilizing neurobehavioral domains as indicators of treatment outcome. Lay Summary: This study examined how well various areas of the brain communicate in adolescents with ASD before and after a social skills intervention. Results revealed increased connectivity in the adolescents that received the intervention. Secondly, the study aimed to determine if changes in connectivity of brain areas related to changes in behavior, friendships, and social skills. Results indicated that changes in connectivity were also linked to increased social skills. Autism Res 2021, 14: 787-803. © 2021 International Society for Autism Research and Wiley Periodicals LLC.
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Affiliation(s)
- Angela D Haendel
- Department of Speech-Language Pathology, Concordia University Wisconsin, Grafton, Wisconsin, USA
| | - Alexander Barrington
- Department of Biomedical Engineering, Marquette University, Milwaukee, Wisconsin, USA
| | - Brooke Magnus
- Department of Psychology, Boston College, Boston, Massachusetts, USA
| | - Alexis A Arias
- Department of Psychology, Marquette University, Milwaukee, Wisconsin, USA
| | - Alana McVey
- Department of Psychology, Marquette University, Milwaukee, Wisconsin, USA.,Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, California, Los Angeles, USA
| | - Sheryl Pleiss
- Great Lakes Neurobehavioral Center, Edina, Minnesota, USA
| | | | - Elisabeth M Vogt
- Medical College of Wisconsin, Neurology, Wauwatosa, Wisconsin, USA
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34
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Ning M, Li C, Gao L, Fan J. Core-Symptom-Defined Cortical Gyrification Differences in Autism Spectrum Disorder. Front Psychiatry 2021; 12:619367. [PMID: 33959045 PMCID: PMC8093770 DOI: 10.3389/fpsyt.2021.619367] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 03/10/2021] [Indexed: 01/09/2023] Open
Abstract
Autism spectrum disorder (ASD) is a heterogeneous disease that is characterized by abnormalities in social communication and interaction as well as repetitive behaviors and restricted interests. Structural brain imaging has identified significant cortical folding alterations in ASD; however, relatively less known is whether the core symptoms are related to neuroanatomical differences. In this study, we aimed to explore core-symptom-anchored gyrification alterations and their developmental trajectories in ASD. We measured the cortical vertex-wise gyrification index (GI) in 321 patients with ASD (aged 7-39 years) and 350 typically developing (TD) subjects (aged 6-33 years) across 8 sites from the Autism Brain Imaging Data Exchange I (ABIDE I) repository and a longitudinal sample (14 ASD and 7 TD, aged 9-14 years in baseline and 12-18 years in follow-up) from ABIDE II. Compared with TD, the general ASD patients exhibited a mixed pattern of both hypo- and hyper- and different developmental trajectories of gyrification. By parsing the ASD patients into three subgroups based on the subscores of the Autism Diagnostic Interview-Revised (ADI-R) scale, we identified core-symptom-specific alterations in the reciprocal social interaction (RSI), communication abnormalities (CA), and restricted, repetitive, and stereotyped patterns of behavior (RRSB) subgroups. We also showed atypical gyrification patterns and developmental trajectories in the subgroups. Furthermore, we conducted a meta-analysis to locate the core-symptom-anchored brain regions (circuits). In summary, the current study shows that ASD is associated with abnormal cortical folding patterns. Core-symptom-based classification can find more subtle changes in gyrification. These results suggest that cortical folding pattern encodes changes in symptom dimensions, which promotes the understanding of neuroanatomical basis, and clinical utility in ASD.
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Affiliation(s)
- Mingmin Ning
- Department of Pediatrics, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Cuicui Li
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Lei Gao
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jingyi Fan
- Department of Pediatrics, Zhongnan Hospital of Wuhan University, Wuhan, China
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35
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Mann C, Schäfer T, Bletsch A, Gudbrandsen M, Daly E, Suckling J, Bullmore ET, Lombardo MV, Lai MC, Craig MC, Baron-Cohen S, Murphy DGM, Ecker C. Examining volumetric gradients based on the frustum surface ratio in the brain in autism spectrum disorder. Hum Brain Mapp 2020; 42:953-966. [PMID: 33295656 PMCID: PMC7856638 DOI: 10.1002/hbm.25270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 10/13/2020] [Accepted: 10/18/2020] [Indexed: 11/19/2022] Open
Abstract
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that is accompanied by neurodevelopmental differences in regional cortical volume (CV), and a potential layer‐specific pathology. Conventional measures of CV, however, do not indicate how volume is distributed across cortical layers. In a sample of 92 typically developing (TD) controls and 92 adult individuals with ASD (aged 18–52 years), we examined volumetric gradients by quantifying the degree to which CV is weighted from the pial to the white surface of the brain. Overall, the spatial distribution of Frustum Surface Ratio (FSR) followed the gyral and sulcal pattern of the cortex and approximated a bimodal Gaussian distribution caused by a linear mixture of vertices on gyri and sulci. Measures of FSR were highly correlated with vertex‐wise estimates of mean curvature, sulcal depth, and pial surface area, although none of these features explained more than 76% variability in FSR on their own. Moreover, in ASD, we observed a pattern of predominant increases in the degree of FSR relative to TD controls, with an atypical neurodevelopmental trajectory. Our findings suggest a more outward‐weighted gradient of CV in ASD, which may indicate a larger contribution of supragranular layers to regional differences in CV.
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Affiliation(s)
- Caroline Mann
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Goethe University, Frankfurt am Main, Germany.,Brain Imaging Center, Goethe-University, Frankfurt am Main, Germany
| | - Tim Schäfer
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Goethe University, Frankfurt am Main, Germany.,Brain Imaging Center, Goethe-University, Frankfurt am Main, Germany
| | - Anke Bletsch
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Goethe University, Frankfurt am Main, Germany.,Brain Imaging Center, Goethe-University, Frankfurt am Main, Germany
| | - Maria Gudbrandsen
- Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom
| | - Eileen Daly
- Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom
| | - John Suckling
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Edward T Bullmore
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Michael V Lombardo
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.,Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - Meng-Chuan Lai
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.,Centre for Addiction and Mental Health and The Hospital for Sick Children, Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Michael C Craig
- Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom.,National Autism Unit, Bethlem Royal Hospital, London, United Kingdom
| | | | - Simon Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Declan G M Murphy
- Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom
| | - Christine Ecker
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Goethe University, Frankfurt am Main, Germany.,Brain Imaging Center, Goethe-University, Frankfurt am Main, Germany.,Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom
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36
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Jung M, Mizuno Y, Fujisawa TX, Takiguchi S, Kong J, Kosaka H, Tomoda A. The Effects of COMT Polymorphism on Cortical Thickness and Surface Area Abnormalities in Children with ADHD. Cereb Cortex 2020; 29:3902-3911. [PMID: 30508034 DOI: 10.1093/cercor/bhy269] [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: 06/07/2018] [Revised: 09/21/2018] [Indexed: 11/12/2022] Open
Abstract
The catechol-O-methyltransferase (COMT) gene is associated with frontal cortex development and the pathophysiology of attention-deficit/hyperactivity disorder (ADHD). However, how the COMT gene impacts brain structure and behavior in ADHD remains unknown. In the present study, we identify the effect of COMT on cortical thickness and surface area in children with ADHD and children with typically developing (TD) using a machine learning approach. In a sample of 39 children with ADHD and 34 age- and IQ-matched TD children, we found that cortical thickness and surface area differences were predominantly observed in the frontal cortex. Furthermore, a path analysis revealed that a COMT genotype affected abnormal development of the frontal cortex in terms of both cortical thickness and surface area and was associated with working memory changes in children with ADHD. Our study confirms that the role of COMT in ADHD is not restricted to the development of behavior but may also affect the cortical thickness and surface area. Thus, our findings may help to improve the understanding of the neuroanatomic basis for the relationship between the COMT genotype and ADHD pathogenesis.
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Affiliation(s)
- Minyoung Jung
- Research Center for Child Mental Development, University of Fukui, Eiheiji, Fukui, Japan
| | - Yoshifumi Mizuno
- Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan
| | - Takashi X Fujisawa
- Research Center for Child Mental Development, University of Fukui, Eiheiji, Fukui, Japan
| | - Shinichiro Takiguchi
- Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan
| | - Jian Kong
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Hirotaka Kosaka
- Research Center for Child Mental Development, University of Fukui, Eiheiji, Fukui, Japan.,Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan.,Department of Neuropsychiatry, University of Fukui, University of Fukui, Eiheiji, Fukui, Japan
| | - Akemi Tomoda
- Research Center for Child Mental Development, University of Fukui, Eiheiji, Fukui, Japan.,Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan
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37
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Libero LE, Schaer M, Li DD, Amaral DG, Nordahl CW. A Longitudinal Study of Local Gyrification Index in Young Boys With Autism Spectrum Disorder. Cereb Cortex 2020; 29:2575-2587. [PMID: 29850803 DOI: 10.1093/cercor/bhy126] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Indexed: 12/31/2022] Open
Abstract
Local gyrification index (LGI), a metric quantifying cortical folding, was evaluated in 105 boys with autism spectrum disorder (ASD) and 49 typically developing (TD) boys at 3 and 5 years-of-age. At 3 years-of-age, boys with ASD had reduced gyrification in the fusiform gyrus compared with TD boys. A longitudinal evaluation from 3 to 5 years revealed that while TD boys had stable/decreasing LGI, boys with ASD had increasing LGI in right inferior temporal gyrus, right inferior frontal gyrus, right inferior parietal lobule, and stable LGI in left lingual gyrus. LGI was also examined in a previously defined neurophenotype of boys with ASD and disproportionate megalencephaly. At 3 years-of-age, this subgroup exhibited increased LGI in right dorsomedial prefrontal cortex, cingulate cortex, and paracentral cortex, and left cingulate cortex and superior frontal gyrus relative to TD boys and increased LGI in right paracentral lobule and parahippocampal gyrus, and left precentral gyrus compared with boys with ASD and normal brain size. In summary, this study identified alterations in the pattern and development of LGI during early childhood in ASD. Distinct patterns of alterations in subgroups of boys with ASD suggests that multiple neurophenotypes exist and boys with ASD and disproportionate megalencephaly should be evaluated separately.
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Affiliation(s)
- Lauren E Libero
- UC Davis MIND Institute and the UC Davis Department of Psychiatry and Behavioral Sciences, School of Medicine, 2230 Stockton Blvd., Sacramento, CA, USA
| | - Marie Schaer
- Office Medico-Pedagogique, Universite de Geneve, Rue David Dafour 1, Geneva 8, Switzerland
| | - Deana D Li
- UC Davis MIND Institute and the UC Davis Department of Psychiatry and Behavioral Sciences, School of Medicine, 2230 Stockton Blvd., Sacramento, CA, USA
| | - David G Amaral
- UC Davis MIND Institute and the UC Davis Department of Psychiatry and Behavioral Sciences, School of Medicine, 2230 Stockton Blvd., Sacramento, CA, USA
| | - Christine Wu Nordahl
- UC Davis MIND Institute and the UC Davis Department of Psychiatry and Behavioral Sciences, School of Medicine, 2230 Stockton Blvd., Sacramento, CA, USA
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38
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Gudbrandsen M, Mann C, Bletsch A, Daly E, Murphy CM, Stoencheva V, Blackmore CE, Rogdaki M, Kushan L, Bearden CE, Murphy DGM, Craig MC, Ecker C. Patterns of Cortical Folding Associated with Autistic Symptoms in Carriers and Noncarriers of the 22q11.2 Microdeletion. Cereb Cortex 2020; 30:5281-5292. [PMID: 32420595 PMCID: PMC7566689 DOI: 10.1093/cercor/bhaa108] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 03/30/2020] [Accepted: 04/06/2020] [Indexed: 12/20/2022] Open
Abstract
22q11.2 deletion syndrome (22q11.2DS) is a genetic condition accompanied by a range of psychiatric manifestations, including autism spectrum disorder (ASD). It remains unknown, however, whether these symptoms are mediated by the same or distinct neural mechanisms as in idiopathic ASD. Here, we examined differences in lGI associated with ASD in 50 individuals with 22q11.2DS (n = 25 with ASD, n = 25 without ASD) and 81 individuals without 22q11.2DS (n = 40 with ASD, n = 41 typically developing controls). We initially utilized a factorial design to identify the set of brain regions where lGI is associated with the main effect of 22q11.2DS, ASD, and with the 22q11.2DS-by-ASD interaction term. Subsequently, we employed canonical correlation analysis (CCA) to compare the multivariate association between variability in lGI and the complex clinical phenotype of ASD between 22q11.2DS carriers and noncarriers. Across approaches, we established that even though there is a high degree of clinical similarity across groups, the associated patterns of lGI significantly differed between carriers and noncarriers of the 22q11.2 microdeletion. Our results suggest that ASD symptomatology recruits different neuroanatomical underpinnings across disorders and that 22q11.2DS individuals with ASD represent a neuroanatomically distinct subgroup that differs from 22q11.2DS individuals without ASD and from individuals with idiopathic ASD.
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Affiliation(s)
- Maria Gudbrandsen
- Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, UK
| | - Caroline Mann
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
- Brain Imaging Center, Goethe University, Frankfurt, Germany
| | - Anke Bletsch
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
- Brain Imaging Center, Goethe University, Frankfurt, Germany
| | - Eileen Daly
- Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, UK
| | - Clodagh M Murphy
- Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, UK
- Behavioural Genetics Clinic, Adult Autism and ADHD Services, Behavioural and Developmental Clinical Academic Group, South London and Maudsley Foundation, NHS, UK
| | - Vladimira Stoencheva
- Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, UK
- Behavioural Genetics Clinic, Adult Autism and ADHD Services, Behavioural and Developmental Clinical Academic Group, South London and Maudsley Foundation, NHS, UK
| | - Charlotte E Blackmore
- Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, UK
- Behavioural Genetics Clinic, Adult Autism and ADHD Services, Behavioural and Developmental Clinical Academic Group, South London and Maudsley Foundation, NHS, UK
| | - Maria Rogdaki
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, UK
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Imperial College, London, UK
| | - Leila Kushan
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior and Department of Psychology, University of California-Los Angeles, Los Angeles, CA, USA
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior and Department of Psychology, University of California-Los Angeles, Los Angeles, CA, USA
| | - Declan G M Murphy
- Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, UK
- Behavioural Genetics Clinic, Adult Autism and ADHD Services, Behavioural and Developmental Clinical Academic Group, South London and Maudsley Foundation, NHS, UK
| | - Michael C Craig
- Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, UK
- National Autism Unit, Bethlem Royal Hospital, London, UK
| | - Christine Ecker
- Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, UK
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
- Brain Imaging Center, Goethe University, Frankfurt, Germany
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Dekhil O, Ali M, Haweel R, Elnakib Y, Ghazal M, Hajjdiab H, Fraiwan L, Shalaby A, Soliman A, Mahmoud A, Keynton R, Casanova MF, Barnes G, El-Baz A. A Comprehensive Framework for Differentiating Autism Spectrum Disorder From Neurotypicals by Fusing Structural MRI and Resting State Functional MRI. Semin Pediatr Neurol 2020; 34:100805. [PMID: 32446442 DOI: 10.1016/j.spen.2020.100805] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Autism spectrum disorder is a neurodevelopmental disorder characterized by impaired social abilities and communication difficulties. The golden standard for autism diagnosis in research rely on behavioral features, for example, the autism diagnosis observation schedule, the Autism Diagnostic Interview-Revised. In this study we introduce a computer-aided diagnosis system that uses features from structural MRI (sMRI) and resting state functional MRI (fMRI) to help predict an autism diagnosis by clinicians. The proposed system is capable of parcellating brain regions to show which areas are most likely affected by autism related abnormalities and thus help in targeting potential therapeutic interventions. When tested on 18 data sets (n = 1060) from the ABIDE consortium, our system was able to achieve high accuracy (sMRI 0.75-1.00; fMRI 0.79-1.00), sensitivity (sMRI 0.73-1.00; fMRI 0.78-1.00), and specificity (sMRI 0.78-1.00; fMRI 0.79-1.00). The proposed system could be considered an important step toward helping physicians interpret results of neuroimaging studies and personalize treatment options. To the best of our knowledge, this work is the first to combine features from structural and functional MRI, use them for personalized diagnosis and achieve high accuracies on a relatively large population.
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Affiliation(s)
- Omar Dekhil
- Department of Bioengineering, University of Louisville, Louisville, KY
| | - Mohamed Ali
- Department of Bioengineering, University of Louisville, Louisville, KY
| | - Reem Haweel
- Department of Bioengineering, University of Louisville, Louisville, KY
| | - Yaser Elnakib
- Department of Bioengineering, University of Louisville, Louisville, KY
| | - Mohammed Ghazal
- Department of Electrical and Computer Engineering, Abu Dhabi University, Abu Dhabi, United Arab Emirates
| | - Hassan Hajjdiab
- Department of Electrical and Computer Engineering, Abu Dhabi University, Abu Dhabi, United Arab Emirates
| | - Luay Fraiwan
- Department of Electrical and Computer Engineering, Abu Dhabi University, Abu Dhabi, United Arab Emirates
| | - Ahmed Shalaby
- Department of Bioengineering, University of Louisville, Louisville, KY
| | - Ahmed Soliman
- Department of Bioengineering, University of Louisville, Louisville, KY
| | - Ali Mahmoud
- Department of Bioengineering, University of Louisville, Louisville, KY
| | - Robert Keynton
- Department of Bioengineering, University of Louisville, Louisville, KY
| | - Manuel F Casanova
- Department of Biomedical Sciences, University of South Carolina, Greenville, SC
| | - Gregory Barnes
- Department of Neurology, University of Louisville, Louisville, KY
| | - Ayman El-Baz
- Department of Bioengineering, University of Louisville, Louisville, KY.
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40
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Mihailov A, Philippe C, Gloaguen A, Grigis A, Laidi C, Piguet C, Houenou J, Frouin V. Cortical signatures in behaviorally clustered autistic traits subgroups: a population-based study. Transl Psychiatry 2020; 10:207. [PMID: 32594096 PMCID: PMC7320967 DOI: 10.1038/s41398-020-00894-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 06/05/2020] [Accepted: 06/09/2020] [Indexed: 12/22/2022] Open
Abstract
Extensive heterogeneity in autism spectrum disorder (ASD) has hindered the characterization of consistent biomarkers, which has led to widespread negative results. Isolating homogenized subtypes could provide insight into underlying biological mechanisms and an overall better understanding of ASD. A total of 1093 participants from the population-based "Healthy Brain Network" cohort (Child Mind Institute in the New York City area, USA) were selected based on score availability in behaviors relevant to ASD, aged 6-18 and IQ >= 70. All participants underwent an unsupervised clustering analysis on behavioral dimensions to reveal subgroups with ASD traits, identified by the presence of social deficits. Analysis revealed three socially impaired ASD traits subgroups: (1) high in emotionally dysfunctional traits, (2) high in ADHD-like traits, and (3) high in anxiety and depressive symptoms. 527 subjects had good quality structural MRI T1 data. Site effects on cortical features were adjusted using the ComBat method. Neuroimaging analyses compared cortical thickness, gyrification, and surface area, and were controlled for age, gender, and IQ, and corrected for multiple comparisons. Structural neuroimaging analyses contrasting one combined heterogeneous ASD traits group against controls did not yield any significant differences. Unique cortical signatures, however, were observed within each of the three individual ASD traits subgroups versus controls. These observations provide evidence of ASD traits subtypes, and confirm the necessity of applying dimensional approaches to extract meaningful differences, thus reducing heterogeneity and paving the way to better understanding ASD traits.
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Affiliation(s)
- Angeline Mihailov
- Neurospin, Institut Joliot, CEA, Université Paris-Saclay, Gif-sur-Yvette, 91191, France.
| | - Cathy Philippe
- grid.460789.40000 0004 4910 6535Neurospin, Institut Joliot, CEA, Université Paris-Saclay, Gif-sur-Yvette, 91191 France
| | - Arnaud Gloaguen
- grid.460789.40000 0004 4910 6535Neurospin, Institut Joliot, CEA, Université Paris-Saclay, Gif-sur-Yvette, 91191 France ,CNRS-Centrale Supélec, 3 rue Joliot-Curie, 91192 Gif-sur-Yvette, France
| | - Antoine Grigis
- grid.460789.40000 0004 4910 6535Neurospin, Institut Joliot, CEA, Université Paris-Saclay, Gif-sur-Yvette, 91191 France
| | - Charles Laidi
- grid.460789.40000 0004 4910 6535Neurospin, Institut Joliot, CEA, Université Paris-Saclay, Gif-sur-Yvette, 91191 France ,APHP, Mondor Univ. Hospitals, DMU IMPACT, INSERM, U955, Translational Neuropsychiatry Team, University of Paris-Est Créteil, 94000 Créteil, France
| | - Camille Piguet
- grid.460789.40000 0004 4910 6535Neurospin, Institut Joliot, CEA, Université Paris-Saclay, Gif-sur-Yvette, 91191 France ,grid.8591.50000 0001 2322 4988Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Josselin Houenou
- grid.460789.40000 0004 4910 6535Neurospin, Institut Joliot, CEA, Université Paris-Saclay, Gif-sur-Yvette, 91191 France ,APHP, Mondor Univ. Hospitals, DMU IMPACT, INSERM, U955, Translational Neuropsychiatry Team, University of Paris-Est Créteil, 94000 Créteil, France
| | - Vincent Frouin
- grid.460789.40000 0004 4910 6535Neurospin, Institut Joliot, CEA, Université Paris-Saclay, Gif-sur-Yvette, 91191 France
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41
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Lenge M, Marini C, Canale E, Napolitano A, De Masi S, Trivisano M, Mei D, Longo D, Rossi Espagnet MC, Lucenteforte E, Barba C, Specchio N, Guerrini R. Quantitative MRI-Based Analysis Identifies Developmental Limbic Abnormalities in PCDH19 Encephalopathy. Cereb Cortex 2020; 30:6039-6050. [PMID: 32582916 DOI: 10.1093/cercor/bhaa177] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 05/30/2020] [Accepted: 06/02/2020] [Indexed: 12/14/2022] Open
Abstract
Protocadherin-19 (PCDH19) is a calcium dependent cell-adhesion molecule involved in neuronal circuit formation with prevalent expression in the limbic structures. PCDH19-gene mutations cause a developmental encephalopathy with prominent infantile onset focal seizures, variably associated with intellectual disability and autistic features. Diagnostic neuroimaging is usually unrevealing. We used quantitative MRI to investigate the cortex and white matter in a group of 20 PCDH19-mutated patients. By a statistical comparison between quantitative features in PCDH19 brains and in a group of age and sex matched controls, we found that patients exhibited bilateral reductions of local gyrification index (lGI) in limbic cortical areas, including the parahippocampal and entorhinal cortex and the fusiform and lingual gyri, and altered diffusivity features in the underlying white matter. In patients with an earlier onset of seizures, worse psychiatric manifestations and cognitive impairment, reductions of lGI and diffusivity abnormalities in the limbic areas were more pronounced. Developmental abnormalities involving the limbic structures likely represent a measurable anatomic counterpart of the reduced contribution of the PCDH19 protein to local cortical folding and white matter organization and are functionally reflected in the phenotypic features involving cognitive and communicative skills as well as local epileptogenesis.
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Affiliation(s)
- Matteo Lenge
- Child Neurology Unit and Laboratories, Neuroscience Department, Children's Hospital A. Meyer - University of Florence, 50139 Florence, Italy.,Functional and Epilepsy Neurosurgery Unit, Neurosurgery Department, Children's Hospital A. Meyer - University of Florence, 50139 Florence, Italy.,Clinical Trial Office, Children's Hospital A. Meyer-University of Florence, 50139 Florence, Italy
| | - Carla Marini
- Child Neuropsychiatry Unit, Maternal Child Department, University Hospital Ospedali Riuniti, 60100 Ancona, Italy
| | - Edoardo Canale
- Paediatric Neurology and Muscular Diseases Unit, IRCCS 'G. Gaslini' Institute, 16100 Genova, Italy
| | - Antonio Napolitano
- Medical Physics Department, Bambino Gesù Children's Hospital, IRCCS, 00100 Rome, Italy
| | - Salvatore De Masi
- Clinical Trial Office, Children's Hospital A. Meyer-University of Florence, 50139 Florence, Italy
| | - Marina Trivisano
- Rare and Complex Epilepsy Unit, Department of Neuroscience, Bambino Gesù Children's Hospital, IRCCS, 00100 Rome, Italy
| | - Davide Mei
- Child Neurology Unit and Laboratories, Neuroscience Department, Children's Hospital A. Meyer - University of Florence, 50139 Florence, Italy
| | - Daniela Longo
- Neuroradiology Unit, Imaging Department, Bambino Gesù Children's Hospital, IRCCS, 00100 Rome, Italy
| | - Maria Camilla Rossi Espagnet
- Neuroradiology Unit, Imaging Department, Bambino Gesù Children's Hospital, IRCCS, 00100 Rome, Italy.,NESMOS Department, Sapienza University, 00100 Rome, Italy
| | - Ersilia Lucenteforte
- Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | | | - Carmen Barba
- Child Neurology Unit and Laboratories, Neuroscience Department, Children's Hospital A. Meyer - University of Florence, 50139 Florence, Italy
| | - Nicola Specchio
- Rare and Complex Epilepsy Unit, Department of Neuroscience, Bambino Gesù Children's Hospital, IRCCS, 00100 Rome, Italy
| | - Renzo Guerrini
- Child Neurology Unit and Laboratories, Neuroscience Department, Children's Hospital A. Meyer - University of Florence, 50139 Florence, Italy.,IRCCS Stella Maris Foundation, 56018 Pisa, Italy
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42
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Ruffini G, Salvador R, Tadayon E, Sanchez-Todo R, Pascual-Leone A, Santarnecchi E. Realistic modeling of mesoscopic ephaptic coupling in the human brain. PLoS Comput Biol 2020; 16:e1007923. [PMID: 32479496 PMCID: PMC7289436 DOI: 10.1371/journal.pcbi.1007923] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2019] [Revised: 06/11/2020] [Accepted: 05/01/2020] [Indexed: 11/29/2022] Open
Abstract
Several decades of research suggest that weak electric fields may influence neural processing, including those induced by neuronal activity and proposed as a substrate for a potential new cellular communication system, i.e., ephaptic transmission. Here we aim to model mesoscopic ephaptic activity in the human brain and explore its trajectory during aging by characterizing the electric field generated by cortical dipoles using realistic finite element modeling. Extrapolating from electrophysiological measurements, we first observe that modeled endogenous field magnitudes are comparable to those in measurements of weak but functionally relevant self-generated fields and to those produced by noninvasive transcranial brain stimulation, and therefore possibly able to modulate neuronal activity. Then, to evaluate the role of these fields in the human cortex in large MRI databases, we adapt an interaction approximation that considers the relative orientation of neuron and field to estimate the membrane potential perturbation in pyramidal cells. We use this approximation to define a simplified metric (EMOD1) that weights dipole coupling as a function of distance and relative orientation between emitter and receiver and evaluate it in a sample of 401 realistic human brain models from healthy subjects aged 16-83. Results reveal that ephaptic coupling, in the simplified mesoscopic modeling approach used here, significantly decreases with age, with higher involvement of sensorimotor regions and medial brain structures. This study suggests that by providing the means for fast and direct interaction between neurons, ephaptic modulation may contribute to the complexity of human function for cognition and behavior, and its modification across the lifespan and in response to pathology.
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Affiliation(s)
- Giulio Ruffini
- Neuroelectrics Corporation, Cambridge, Massachusetts, United States of America
- Neuroelectrics Barcelona, Barcelona, Spain
- Starlab Barcelona, Barcelona, Spain
| | | | - Ehsan Tadayon
- Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, United States of America
| | | | - Alvaro Pascual-Leone
- Hinda and Arthur Marcus Institute for Aging Research and Center for Memory Health, Hebrew SeniorLife, Boston, Massachusetts, United States of America
- Guttmann Brain Health Institut, Institut Guttmann, Universitat Autonoma Barcelona, Spain
- Department of Neurology, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Emiliano Santarnecchi
- Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, United States of America
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43
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Zhang K, Wang M, Zhang J, Du X, Chen Z. Brain Structural Plasticity Associated with Maternal Caregiving in Mothers: A Voxel- and Surface-Based Morphometry Study. NEURODEGENER DIS 2020; 19:192-203. [PMID: 32396895 DOI: 10.1159/000506258] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 01/28/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Pregnancy constitutes a significant period in the lives of women, after which they often experience numerous crucial physiological and psychological changes. Functional neuroimaging studies have shown longitudinal changes in functional brain activity in mothers responding to infant-related stimuli. However, the structural changes that occur in the brains of mothers after delivery remain to be explored. OBJECTIVE We aimed to evaluate the structural changes in mothers during the postpartum phase. METHODS We recruited 35 primiparous mothers and 26 nonmothers to participate in this voxel- and surface-based morphometry study, and 22 mothers were scanned twice with a follow-up of approximately 2 years. RESULTS Compared to nonmothers, mothers exhibited reduced gray matter (GM) volumes and increased white matter (WM) volumes in regions associated with empathy and reward networks (supplementary motor area, precuneus, inferior parietal lobe, insula, and striatum), decreased cortical thickness in the precentral gyrus and increased gyrification index in the orbitofrontal cortex. Furthermore, mothers showed longitudinal changes in the GM and WM volumes and cortical thickness of several of these regions (including the superior and medial frontal gyrus, insula, limbic lobe, superior and middle temporal gyrus, and precentral gyrus), which have been associated with maternal networks during the postpartum period. Additionally, the changes in GM and WM volumes were related to changes in empathetic abilities in mothers. CONCLUSION These results suggest that the brains of mothers exhibit adaptive structural dynamic plasticity. These findings provide a neuroanatomical basis for understanding how mothers process emotional sensory information during the postpartum period.
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Affiliation(s)
- Kaihua Zhang
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China.,Shanghai Key Laboratory of Magnetic Resonance and Department of Physics, School of Physics and Materials Science, East China Normal University, Shanghai, China
| | - Mengxing Wang
- Shanghai Key Laboratory of Magnetic Resonance and Department of Physics, School of Physics and Materials Science, East China Normal University, Shanghai, China
| | - Jilei Zhang
- Clinical Science, Philips Healthcare, Shanghai, China
| | - Xiaoxia Du
- Shanghai Key Laboratory of Magnetic Resonance and Department of Physics, School of Physics and Materials Science, East China Normal University, Shanghai, China
| | - Zhong Chen
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China,
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44
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Hong SJ, Valk SL, Di Martino A, Milham MP, Bernhardt BC. Multidimensional Neuroanatomical Subtyping of Autism Spectrum Disorder. Cereb Cortex 2019; 28:3578-3588. [PMID: 28968847 DOI: 10.1093/cercor/bhx229] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Accepted: 08/23/2017] [Indexed: 12/15/2022] Open
Abstract
Autism spectrum disorder (ASD) is a group of neurodevelopmental disorders with multiple biological etiologies and highly variable symptoms. Using a novel analytical framework that integrates cortex-wide MRI markers of vertical (i.e., thickness, tissue contrast) and horizontal (i.e., surface area, geodesic distance) cortical organization, we could show that a large multi-centric cohort of individuals with ASD falls into 3 distinctive anatomical subtypes (ASD-I: cortical thickening, increased surface area, tissue blurring; ASD-II: cortical thinning, decreased distance; ASD-III: increased distance). Bootstrap analysis indicated a high consistency of these biotypes across thousands of simulations, while analysis of behavioral phenotypes and resting-state fMRI showed differential symptom load (i.e., Autism Diagnostic Observation Schedule; ADOS) and instrinsic connectivity anomalies in communication and social-cognition networks. Notably, subtyping improved supervised learning approaches predicting ADOS score in single subjects, with significantly increased performance compared to a subtype-blind approach. The existence of different subtypes may reconcile previous results so far not converging on a consistent pattern of anatomical anomalies in autism, and possibly relate the presence of diverging corticogenic and maturational anomalies. The high accuracy for symptom severity prediction indicates benefits of MRI biotyping for personalized diagnostics and may guide the development of targeted therapeutic strategies.
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Affiliation(s)
- Seok-Jun Hong
- Multimodal Imaging and Connectome Analysis Laboratory, Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, QC, Canada
| | - Sofie L Valk
- Department of Social Neuroscience, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstrasse 1a, Leipzig, Germany
| | - Adriana Di Martino
- Department of Child and Adolescent Psychiatry, Child Study Center at NYU Langone Health, 1 Park Avenue, New York, NY, USA
| | - Michael P Milham
- Center for the Developing Brain, Child Mind Institute, 445 Park Avenue, New York, NY, USA.,Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute, 140 Old Orangeburg Rd, Orangeburg, New York, NY, USA
| | - Boris C Bernhardt
- Multimodal Imaging and Connectome Analysis Laboratory, Montreal Neurological Institute and Hospital, McGill University, 3801 University Street, Montreal, QC, Canada
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45
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Xiong G, Dong D, Cheng C, Jiang Y, Sun X, He J, Li C, Gao Y, Zhong X, Zhao H, Wang X, Yao S. State-independent and -dependent structural alterations in limbic-cortical regions in patients with current and remitted depression. J Affect Disord 2019; 258:1-10. [PMID: 31382099 DOI: 10.1016/j.jad.2019.07.065] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2019] [Revised: 07/24/2019] [Accepted: 07/29/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND The high recurrence of major depressive disorder (MDD) may derive from underlying state-independent structural alterations. METHODS First-episode drug-naïve currently depressed (cMDD) patients (N = 97), remitted depressed (RD) patients (N = 72), and healthy controls (HCs, N = 100) underwent structural magnetic resonance imaging (MRI). Group differences in cortical thickness (CT), surface area (SA), and local gyrification index (lGI) were analyzed in FreeSurfer. RESULTS Both groups of depressed patients had significantly decreased CT, relative to HCs, in the left precentral gyrus and significantly increased lGI values in the left superior frontal gyrus (SFG) indicative of state-independent alterations. Relative to HCs, the cMDD group had decreased CT of the SFG, caudal middle frontal gyrus (MFG), posterior cingulate cortex (PCC), and lateral occipital regions as well as increased SA or lGI of the superior temporal gyrus, precuneus, and pericalcarine, whereas the RD group had increased SA or lGI of the SFG, caudal MFG, and supramarginal gyrus; these alterations appeared to be state-dependent. SA or lGI values of the fusiform gyrus, inferior temporal gyrus, and superior parietal lobule differed between the cMDD and RD groups, consistent with state-dependent alterations. Beck depression inventory scores correlated with CT or lGI values of the caudal MFG, lateral occipital cortex in depressed patients. LIMITATIONS The structural features of several subcortical limbic regions were not analyzed. CONCLUSIONS Left precentral gyrus CT and left SFG gyrification alterations may represent state-independent alterations in MDD.
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Affiliation(s)
- Ge Xiong
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Medical Psychological Institute of Central South University, Changsha, Hunan 410011, China
| | - Daifeng Dong
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Medical Psychological Institute of Central South University, Changsha, Hunan 410011, China
| | - Chang Cheng
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Medical Psychological Institute of Central South University, Changsha, Hunan 410011, China
| | - Yali Jiang
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Medical Psychological Institute of Central South University, Changsha, Hunan 410011, China
| | - Xiaoqiang Sun
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Medical Psychological Institute of Central South University, Changsha, Hunan 410011, China
| | - Jiayue He
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Medical Psychological Institute of Central South University, Changsha, Hunan 410011, China
| | - Chuting Li
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Medical Psychological Institute of Central South University, Changsha, Hunan 410011, China; China National Clinical Research Center on Mental disorders (Xiangya), Changsha, Hunan 410011, China
| | - Yidian Gao
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Medical Psychological Institute of Central South University, Changsha, Hunan 410011, China
| | - Xue Zhong
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Medical Psychological Institute of Central South University, Changsha, Hunan 410011, China
| | - Haofei Zhao
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Medical Psychological Institute of Central South University, Changsha, Hunan 410011, China
| | - Xiang Wang
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Medical Psychological Institute of Central South University, Changsha, Hunan 410011, China; China National Clinical Research Center on Mental disorders (Xiangya), Changsha, Hunan 410011, China
| | - Shuqiao Yao
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Medical Psychological Institute of Central South University, Changsha, Hunan 410011, China; China National Clinical Research Center on Mental disorders (Xiangya), Changsha, Hunan 410011, China.
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46
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Kohli JS, Kinnear MK, Martindale IA, Carper RA, Müller RA. Regionally decreased gyrification in middle-aged adults with autism spectrum disorders. Neurology 2019; 93:e1900-e1905. [PMID: 31604793 DOI: 10.1212/wnl.0000000000008478] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 06/24/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To examine changing features of cortical morphology in middle-aged adults with autism spectrum disorders (ASDs) vs typical comparison (TC) participants, hypothesizing regionally decreased local gyrification index (lGI), given our previous findings of accelerated lGI decline during adolescence. METHODS After quality assurance, T1-weighted MRI sequences from 20 participants with ASD and 21 TC participants (40-61 years) matched on age were analyzed. lGI, cortical thickness (CT), and surface area (SA) were measured with FreeSurfer version 5.3. Statistical analyses used a general linear model including age, nonverbal IQ, and total brain volume as covariates. Clusters of significant group effects were used as regions of interest for behavioral analyses. RESULTS Clusters of decreased lGI were observed bilaterally in the ASD group with large effect sizes in insular and anterior cingulate (ACC), left postcentral, and middle frontal and right orbitofrontal and supramarginal regions. lGI was also shown to decline with age across groups in bilateral precentral and right supramarginal clusters. No significant group, age, or group-by-age interaction effects were observed for CT or SA in this age group. lGI showed a significant correlation with Social Responsiveness Scale total scores in a right caudal ACC cluster in the TC group only, while several correlations were found in the ASD group between executive function scores and clusters in the bilateral insula and right orbitofrontal cortex. CONCLUSION The pattern of regionally decreased lGI observed here in middle-aged adults with ASDs is consistent with an abnormal trajectory of cortical folding changes across different stages of life in ASDs, as shown in previous studies.
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Affiliation(s)
| | | | - Ian A Martindale
- From the Department of Psychology, San Diego State University, CA
| | - Ruth A Carper
- From the Department of Psychology, San Diego State University, CA.
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47
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Caverzasi E, Battistella G, Chu SA, Rosen H, Zanto TP, Karydas A, Shwe W, Coppola G, Geschwind DH, Rademakers R, Miller BL, Gorno-Tempini ML, Lee SE. Gyrification abnormalities in presymptomatic c9orf72 expansion carriers. J Neurol Neurosurg Psychiatry 2019; 90:1005-1010. [PMID: 31079065 PMCID: PMC6820159 DOI: 10.1136/jnnp-2018-320265] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2018] [Revised: 03/04/2019] [Accepted: 04/03/2019] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To investigate in-vivo cortical gyrification patterns measured by the local gyrification index (lGI) in presymptomatic c9orf72 expansion carriers compared with healthy controls, and investigate relationships between lGI and cortical thickness, an established morphometric measure of neurodegeneration. METHODS We assessed cortical gyrification and thickness patterns in a cohort of 15 presymptomatic c9orf72 expansion carriers (age 43.7 ± 10.2 years, 9 females) compared with 67 (age 42.4 ± 12.4 years, 36 females) age and sex matched healthy controls using the dedicated Freesurfer pipeline. RESULTS Compared with controls, presymptomatic carriers showed significantly lower lGI in left frontal and right parieto-occipital regions. Interestingly, those areas with abnormal gyrification in presymptomatic carriers showed no concomitant cortical thickness abnormality. Overall, for both presymptomatic carriers and healthy controls, gyrification and cortical thickness measures were not correlated, suggesting that gyrification captures a feature distinct from cortical thickness. CONCLUSIONS Presymptomatic c9orf72 expansion carriers show regions of abnormally low gyrification as early as their 30s, decades before expected symptom onset. Cortical gyrification represents a novel grey matter metric distinctive from grey matter thickness or volume and detects differences in presymptomatic carriers at an early age.
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Affiliation(s)
- Eduardo Caverzasi
- Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Giovanni Battistella
- Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Stephanie A Chu
- Neurology, Memory and Aging Center University of California, San Francisco, San Francisco, California, USA
| | - Howie Rosen
- Neurology, Memory and Aging Center University of California, San Francisco, San Francisco, California, USA
| | - Theodore P Zanto
- Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Anna Karydas
- Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Wendy Shwe
- Neurology, Memory and Aging Center University of California, San Francisco, San Francisco, California, USA
| | | | - Daniel H Geschwind
- Psychiatry and Neurology, UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, California, USA
| | - Rosa Rademakers
- Neuroscience, Mayo Clinic College of Medicine, Jacksonville, Florida, USA
| | - Bruce L Miller
- Neurology, Memory and Aging Center University of California, San Francisco, San Francisco, California, USA
- University of California, San Francisco, San Francisco, California, USA
| | - Maria Luisa Gorno-Tempini
- Neurology, Memory and Aging Center University of California, San Francisco, San Francisco, California, USA
| | - Suzee E Lee
- Neurology, University of California, San Francisco, San Francisco, California, USA
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48
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Lou Y, Zhao L, Yu S, Sun B, Hou Z, Zhang Z, Tang Y, Liu S. Brain asymmetry differences between Chinese and Caucasian populations: a surface-based morphometric comparison study. Brain Imaging Behav 2019; 14:2323-2332. [PMID: 31435899 DOI: 10.1007/s11682-019-00184-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Asymmetry has been proved to exist in the human brain structure, function and behavior. Most of the existing brain asymmetry findings are originated from the western populations, while studies about the brain structural and functional asymmetries in East Asians are limited. Extensive evidence suggested that cultural differences, e.g. education and language, may lead to differences in brain structure and function between races. Therefore, we hypothesized that differences in brain structural asymmetries exist between East Asians and Westerners. In this study, we performed a comprehensive surface-based morphometric (SBM) analysis of brain asymmetries in cortical thickness, volume and surface area in two well-matched groups of right-handed, Chinese (n = 45) and Caucasian (n = 45) young male adults (age = 22-29 years). Our results showed consistent inter-hemispheric asymmetries in the three brain morphological measures in multiple brain regions in the Chinese young adults, including the temporal, frontal, parietal, occipital, insular cortices and the cingulate gyrus. Comparing with the Caucasians, the Chinese group showed greater structural asymmetry in the frontal, temporal, occipital and insular cortices, and smaller asymmetry in the parietal cortex and cingulate gyrus. These findings could provide a new neuroanatomical basis for understanding the distinctions between East Asian and Caucasian in brain functional lateralization.
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Affiliation(s)
- Yunxia Lou
- Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Jinan, China.,School of Basic Medical Sciences, Shandong University, Jinan, China
| | - Lu Zhao
- Laboratory of Neuro Imaging (LONI), Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Shui Yu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, China
| | - Bo Sun
- Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Jinan, China.,Shandong Medical Imaging Research Institute, Jinan, China
| | - Zhongyu Hou
- Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Jinan, China.,Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Zhonghe Zhang
- Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Jinan, China.,Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Yuchun Tang
- Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Jinan, China. .,School of Basic Medical Sciences, Shandong University, Jinan, China.
| | - Shuwei Liu
- Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Jinan, China.,School of Basic Medical Sciences, Shandong University, Jinan, China
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49
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Quantifying individual differences in brain morphometry underlying symptom severity in Autism Spectrum Disorders. Sci Rep 2019; 9:9898. [PMID: 31289283 PMCID: PMC6617442 DOI: 10.1038/s41598-019-45774-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 06/14/2019] [Indexed: 01/12/2023] Open
Abstract
The neurobiology of heterogeneous neurodevelopmental disorders such as autism spectrum disorders (ASD) are still unclear. Despite extensive efforts, most findings are difficult to reproduce due to high levels of individual variance in phenotypic expression. To quantify individual differences in brain morphometry in ASD, we implemented a novel subject-level, distance-based method on subject-specific attributes. In a large multi-cohort sample, each subject with ASD (n = 100; n = 84 males; mean age: 11.43 years; mean IQ: 110.58) was strictly matched to a control participant (n = 100; n = 84 males; mean age: 11.43 years; mean IQ: 110.70). Intrapair Euclidean distance of MRI brain morphometry and symptom severity measures (Social Responsiveness Scale) were entered into a regularised machine learning pipeline for feature selection, with rigorous out-of-sample validation and permutation testing. Subject-specific structural morphometry features significantly predicted individual variation in ASD symptom severity (19 cortical thickness features, p = 0.01, n = 5000 permutations; 10 surface area features, p = 0.006, n = 5000 permutations). Findings remained robust across subjects and were replicated in validation samples. Identified cortical regions implicate key hubs of the salience and default mode networks as neuroanatomical features of social impairment in ASD. Present results highlight the importance of subject-level markers in ASD, and offer an important step forward in understanding the neurobiology of heterogeneous disorders.
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50
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Esworthy TJ, Miao S, Lee SJ, Zhou X, Cui H, Zuo YY, Zhang LG. Advanced 4D Bioprinting Technologies for Brain Tissue Modeling and Study. INTERNATIONAL JOURNAL OF SMART AND NANO MATERIALS 2019; 10:177-204. [PMID: 32864037 PMCID: PMC7451241 DOI: 10.1080/19475411.2019.1631899] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 06/10/2019] [Indexed: 05/27/2023]
Abstract
Although the process by which the cortical tissues of the brain fold has been the subject of considerable study and debate over the past few decades, a single mechanistic description of the phenomenon has yet to be fully accepted. Rather, two competing explanations of cortical folding have arisen in recent years; known as the axonal tension and the differential tangential expansion models. In the present review, these two models are introduced by analyzing the computational, theoretical, materials-based, and cell studies which have yielded them. Then Four-dimensional bioprinting is presented as a powerful technology which can not only be used to test both models of cortical folding de novo, but can also be used to explore the reciprocal effects that folding associated mechanical stresses may have on neural development. Therein, the fabrication of "smart" tissue models which can accurately simulate the in vivo folding process and recapitulate physiologically relevant stresses are introduced. We also provide a general description of both cortical neurobiology as well as the cellular basis of cortical folding. Our discussion also entails an overview of both 3D and 4D bioprinting technologies, as well as a brief commentary on recent advancements in printed central nervous system tissue engineering.
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Affiliation(s)
- Timothy J Esworthy
- Department of Mechanical and Aerospace Engineering, The George Washington University, Washington DC 20052, USA
| | - Shida Miao
- Department of Mechanical and Aerospace Engineering, The George Washington University, Washington DC 20052, USA
| | - Se-Jun Lee
- Department of Mechanical and Aerospace Engineering, The George Washington University, Washington DC 20052, USA
| | - Xuan Zhou
- Department of Mechanical and Aerospace Engineering, The George Washington University, Washington DC 20052, USA
| | - Haitao Cui
- Department of Mechanical and Aerospace Engineering, The George Washington University, Washington DC 20052, USA
| | - Yi Y Zuo
- Department of Mechanical Engineering, University of Hawaii at Manoa, Honolulu, HI 96822, USA
| | - Lijie Grace Zhang
- Department of Mechanical and Aerospace Engineering, The George Washington University, Washington DC 20052, USA
- Department of Medicine, The George Washington University, Washington DC 20052, USA
- Department of Biomedical Engineering, The George Washington University, Washington DC 20052, USA
- Department of Electrical and Computer Engineering, The George Washington University, Washington DC 20052, USA
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