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      Frequency-Specific Regional Homogeneity Alterations in Tourette Syndrome

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          Abstract

          Tourette syndrome (TS) is a developmental neuropsychiatric disorder with onset during childhood. Because of its complex spectrum of phenotypes, the underlying pathophysiology of TS is still unclear. Resting-state functional magnetic resonance imaging demonstrated aberrant spontaneous neural synchronization in conventional frequency band (0.01–0.08 Hz) in TS. No published studies have reported abnormalities of local synchronization across different frequency bands. We estimated the alterations of local synchronization across five bands ranging from 0 to 0.25 Hz. Seventy-nine children with TS and 63 age-, sex-, and handedness-matched healthy children were recruited. Frequency-specific regional homogeneity (ReHo) and independent component analysis were used to identify functional alterations between TS and healthy children. TS patients showed significantly increased ReHo in the left precentral gyrus and decreased ReHo in the right operculum. Abnormal ReHo alterations of the superior frontal gyrus, superior parietal gyrus, anterior cingulate gyrus, putamen, superior temporal gyrus, and operculum were observed in different frequency bands. TS patients showed increased connectivity of the right superior frontal gyrus within the left executive control network. In addition, a significantly negative correlation was found between Yale Global Tic Severity Scale (YGTSS) vocal score and ReHo values of the right operculum in the highest frequency bands (0.198–0.25 Hz), while a significant positive correlation was found between YGTSS motor score and altered connectivity of the right superior frontal gyrus. The present study revealed frequency-specific abnormal alterations of ReHo in the whole brain and altered connectivity within the executive control network of TS children. Its neural importance and clinical practicability require further investigation.

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          Most cited references45

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          Parallel organization of functionally segregated circuits linking basal ganglia and cortex.

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            DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging.

            Brain imaging efforts are being increasingly devoted to decode the functioning of the human brain. Among neuroimaging techniques, resting-state fMRI (R-fMRI) is currently expanding exponentially. Beyond the general neuroimaging analysis packages (e.g., SPM, AFNI and FSL), REST and DPARSF were developed to meet the increasing need of user-friendly toolboxes for R-fMRI data processing. To address recently identified methodological challenges of R-fMRI, we introduce the newly developed toolbox, DPABI, which was evolved from REST and DPARSF. DPABI incorporates recent research advances on head motion control and measurement standardization, thus allowing users to evaluate results using stringent control strategies. DPABI also emphasizes test-retest reliability and quality control of data processing. Furthermore, DPABI provides a user-friendly pipeline analysis toolkit for rat/monkey R-fMRI data analysis to reflect the rapid advances in animal imaging. In addition, DPABI includes preprocessing modules for task-based fMRI, voxel-based morphometry analysis, statistical analysis and results viewing. DPABI is designed to make data analysis require fewer manual operations, be less time-consuming, have a lower skill requirement, a smaller risk of inadvertent mistakes, and be more comparable across studies. We anticipate this open-source toolbox will assist novices and expert users alike and continue to support advancing R-fMRI methodology and its application to clinical translational studies.
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              Large-scale brain networks and psychopathology: a unifying triple network model.

              The science of large-scale brain networks offers a powerful paradigm for investigating cognitive and affective dysfunction in psychiatric and neurological disorders. This review examines recent conceptual and methodological developments which are contributing to a paradigm shift in the study of psychopathology. I summarize methods for characterizing aberrant brain networks and demonstrate how network analysis provides novel insights into dysfunctional brain architecture. Deficits in access, engagement and disengagement of large-scale neurocognitive networks are shown to play a prominent role in several disorders including schizophrenia, depression, anxiety, dementia and autism. Synthesizing recent research, I propose a triple network model of aberrant saliency mapping and cognitive dysfunction in psychopathology, emphasizing the surprising parallels that are beginning to emerge across psychiatric and neurological disorders. Copyright © 2011 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                Journal
                Front Psychiatry
                Front Psychiatry
                Front. Psychiatry
                Frontiers in Psychiatry
                Frontiers Media S.A.
                1664-0640
                17 December 2020
                2020
                : 11
                : 543049
                Affiliations
                [1] 1Department of Pediatrics, The Second Affiliated Hospital, School of Medicine, Zhejiang University , Hangzhou, China
                [2] 2Institutes of Psychological Sciences, Hangzhou Normal University , Hangzhou, China
                [3] 3Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments , Hangzhou, China
                [4] 4Center for Cognition and Brain Disorders and the Affiliated Hospital, Hangzhou Normal University , Hangzhou, China
                [5] 5Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University , Hefei, China
                [6] 6Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Anhui Province , Hefei, China
                [7] 7Institute of Sports Medicine and Health, Chengdu Sport University , Chengdu, China
                Author notes

                Edited by: Valsamma Eapen, University of New South Wales, Australia

                Reviewed by: Chencheng Zhang, Shanghai Jiao Tong University, China; Hao Yan, Peking University, China

                *Correspondence: Jue Wang juefirst@ 123456cdsu.edu.cn

                This article was submitted to Child and Adolescent Psychiatry, a section of the journal Frontiers in Psychiatry

                Article
                10.3389/fpsyt.2020.543049
                7773666
                33391040
                3ec821c7-9a37-411f-823e-e692eab7ddeb
                Copyright © 2020 Lou, Li, Wang, Ji, Zang, Wang and Feng.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 15 March 2020
                : 23 November 2020
                Page count
                Figures: 6, Tables: 5, Equations: 0, References: 45, Pages: 13, Words: 6719
                Funding
                Funded by: National Natural Science Foundation of China 10.13039/501100001809
                Award ID: 81701776
                Award ID: 81901383
                Categories
                Psychiatry
                Original Research

                Clinical Psychology & Psychiatry
                tourette syndrome,resting-state functional mri,regional homogeneity,frequency-specific,network

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