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      Static and dynamic resting-state brain activity patterns of table tennis players in 7-Tesla MRI

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          Abstract

          Table tennis involves quick and accurate motor responses during training and competition. Multiple studies have reported considerably faster visuomotor responses and expertise-related intrinsic brain activity changes among table tennis players compared with matched controls. However, the underlying neural mechanisms remain unclear. Herein, we performed static and dynamic resting-state functional magnetic resonance imaging (rs-fMRI) analyses of 20 table tennis players and 21 control subjects using 7T ultra-high field imaging. We calculated the static and dynamic amplitude of low-frequency fluctuations (ALFF) of the two groups. The results revealed that table tennis players exhibited decreased static ALFF in the left inferior temporal gyrus (lITG) compared with the control group. Voxel-wised static functional connectivity (sFC) and dynamic functional connectivity (dFC) analyses using lITG as the seed region afforded complementary and overlapping results. The table tennis players exhibited decreased sFC in the right middle temporal gyrus and left inferior parietal gyrus. Conversely, they displayed increased dFC from the lITG to prefrontal cortex, particularly the left middle frontal gyrus, left superior frontal gyrus-medial, and left superior frontal gyrus-dorsolateral. These findings suggest that table tennis players demonstrate altered visuomotor transformation and executive function pathways. Both pathways involve the lITG, which is a vital node in the ventral visual stream. These static and dynamic analyses provide complementary and overlapping results, which may help us better understand the neural mechanisms underlying the changes in intrinsic brain activity and network organization induced by long-term table tennis skill training.

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          Most cited references119

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          The unity and diversity of executive functions and their contributions to complex "Frontal Lobe" tasks: a latent variable analysis.

          This individual differences study examined the separability of three often postulated executive functions-mental set shifting ("Shifting"), information updating and monitoring ("Updating"), and inhibition of prepotent responses ("Inhibition")-and their roles in complex "frontal lobe" or "executive" tasks. One hundred thirty-seven college students performed a set of relatively simple experimental tasks that are considered to predominantly tap each target executive function as well as a set of frequently used executive tasks: the Wisconsin Card Sorting Test (WCST), Tower of Hanoi (TOH), random number generation (RNG), operation span, and dual tasking. Confirmatory factor analysis indicated that the three target executive functions are moderately correlated with one another, but are clearly separable. Moreover, structural equation modeling suggested that the three functions contribute differentially to performance on complex executive tasks. Specifically, WCST performance was related most strongly to Shifting, TOH to Inhibition, RNG to Inhibition and Updating, and operation span to Updating. Dual task performance was not related to any of the three target functions. These results suggest that it is important to recognize both the unity and diversity of executive functions and that latent variable analysis is a useful approach to studying the organization and roles of executive functions. Copyright 2000 Academic Press.
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            Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.

            An MRI time course of 512 echo-planar images (EPI) in resting human brain obtained every 250 ms reveals fluctuations in signal intensity in each pixel that have a physiologic origin. Regions of the sensorimotor cortex that were activated secondary to hand movement were identified using functional MRI methodology (FMRI). Time courses of low frequency (< 0.1 Hz) fluctuations in resting brain were observed to have a high degree of temporal correlation (P < 10(-3)) within these regions and also with time courses in several other regions that can be associated with motor function. It is concluded that correlation of low frequency fluctuations, which may arise from fluctuations in blood oxygenation or flow, is a manifestation of functional connectivity of the brain.
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              Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI.

              In children with attention deficit hyperactivity disorder (ADHD), functional neuroimaging studies have revealed abnormalities in various brain regions, including prefrontal-striatal circuit, cerebellum, and brainstem. In the current study, we used a new marker of functional magnetic resonance imaging (fMRI), amplitude of low-frequency (0.01-0.08Hz) fluctuation (ALFF) to investigate the baseline brain function of this disorder. Thirteen boys with ADHD (13.0+/-1.4 years) were examined by resting-state fMRI and compared with age-matched controls. As a result, we found that patients with ADHD had decreased ALFF in the right inferior frontal cortex, [corrected] and bilateral cerebellum and the vermis as well as increased ALFF in the right anterior cingulated cortex, left sensorimotor cortex, and bilateral brainstem. This resting-state fMRI study suggests that the changed spontaneous neuronal activity of these regions may be implicated in the underlying pathophysiology in children with ADHD.
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                Author and article information

                Contributors
                Journal
                Front Neurosci
                Front Neurosci
                Front. Neurosci.
                Frontiers in Neuroscience
                Frontiers Media S.A.
                1662-4548
                1662-453X
                14 July 2023
                2023
                : 17
                : 1202932
                Affiliations
                [1] 1Key Laboratory of Medical Neurobiology of Zhejiang Province, Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University , Hangzhou, China
                [2] 2School of Psychology, Zhejiang Normal University , Jinhua, China
                [3] 3Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University , Jinhua, China
                [4] 4Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University , Hangzhou, China
                [5] 5College of Information and Electronic Technology, Jiamusi University , Jiamusi, China
                [6] 6Department of Public Physical and Art Education, Zhejiang University , Hangzhou, China
                [7] 7Hangzhou Wuyunshan Hospital , Hangzhou, China
                [8] 8Department of Sport Science, College of Education, Zhejiang University , Hangzhou, China
                Author notes

                Edited by: Silvia Comani, University of Studies G. d'Annunzio Chieti and Pescara, Italy

                Reviewed by: Edson Filho, Boston University, United States; Patrique Fiedler, Technische Universität Ilmenau, Germany

                *Correspondence: Chanying Zheng, zhengchanying@ 123456zju.edu.cn

                These authors have contributed equally to this work and share first authorship

                Article
                10.3389/fnins.2023.1202932
                10375049
                e5ba9615-3d4a-434f-a171-13541560f1e3
                Copyright © 2023 Li, Zhao, Cao, Gao, Wang, Yun, Luo, Liu and Zheng.

                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
                : 09 April 2023
                : 27 June 2023
                Page count
                Figures: 5, Tables: 3, Equations: 2, References: 119, Pages: 13, Words: 11047
                Funding
                Funded by: Zhejiang University, doi 10.13039/501100004835;
                Award ID: 2021ZD0201705
                Categories
                Neuroscience
                Hypothesis and Theory
                Custom metadata
                Brain Imaging Methods

                Neurosciences
                table tennis,motor training,resting-state fmri,intrinsic brain activity,visuomotor responses,percentage amplitude fluctuation,dynamic amplitude of low frequency fluctuation,dynamic functional connectivity

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