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Whole Brain Functional Connectivity Pattern Homogeneity Mapping

Mounting studies have demonstrated that brain functions are determined by its external functional connectivity patterns. However, how to characterize the voxel-wise similarity of whole brain functional connectivity pattern is still largely unknown. In this study, we introduced a new method called fu...

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Detalles Bibliográficos
Autores principales: Wang, Lijie, Xu, Jinping, Wang, Chao, Wang, Jiaojian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928195/
https://www.ncbi.nlm.nih.gov/pubmed/29740305
http://dx.doi.org/10.3389/fnhum.2018.00164
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author Wang, Lijie
Xu, Jinping
Wang, Chao
Wang, Jiaojian
author_facet Wang, Lijie
Xu, Jinping
Wang, Chao
Wang, Jiaojian
author_sort Wang, Lijie
collection PubMed
description Mounting studies have demonstrated that brain functions are determined by its external functional connectivity patterns. However, how to characterize the voxel-wise similarity of whole brain functional connectivity pattern is still largely unknown. In this study, we introduced a new method called functional connectivity homogeneity (FcHo) to delineate the voxel-wise similarity of whole brain functional connectivity patterns. FcHo was defined by measuring the whole brain functional connectivity patterns similarity of a given voxel with its nearest 26 neighbors using Kendall’s coefficient concordance (KCC). The robustness of this method was tested in four independent datasets selected from a large repository of MRI. Furthermore, FcHo mapping results were further validated using the nearest 18 and six neighbors and intra-subject reproducibility with each subject scanned two times. We also compared FcHo distribution patterns with local regional homogeneity (ReHo) to identify the similarity and differences of the two methods. Finally, FcHo method was used to identify the differences of whole brain functional connectivity patterns between professional Chinese chess players and novices to test its application. FcHo mapping consistently revealed that the high FcHo was mainly distributed in association cortex including parietal lobe, frontal lobe, occipital lobe and default mode network (DMN) related areas, whereas the low FcHo was mainly found in unimodal cortex including primary visual cortex, sensorimotor cortex, paracentral lobule and supplementary motor area. These results were further supported by analyses of the nearest 18 and six neighbors and intra-subject similarity. Moreover, FcHo showed both similar and different whole brain distribution patterns compared to ReHo. Finally, we demonstrated that FcHo can effectively identify the whole brain functional connectivity pattern differences between professional Chinese chess players and novices. Our findings indicated that FcHo is a reliable method to delineate the whole brain functional connectivity pattern similarity and may provide a new way to study the functional organization and to reveal neuropathological basis for brain disorders.
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spelling pubmed-59281952018-05-08 Whole Brain Functional Connectivity Pattern Homogeneity Mapping Wang, Lijie Xu, Jinping Wang, Chao Wang, Jiaojian Front Hum Neurosci Neuroscience Mounting studies have demonstrated that brain functions are determined by its external functional connectivity patterns. However, how to characterize the voxel-wise similarity of whole brain functional connectivity pattern is still largely unknown. In this study, we introduced a new method called functional connectivity homogeneity (FcHo) to delineate the voxel-wise similarity of whole brain functional connectivity patterns. FcHo was defined by measuring the whole brain functional connectivity patterns similarity of a given voxel with its nearest 26 neighbors using Kendall’s coefficient concordance (KCC). The robustness of this method was tested in four independent datasets selected from a large repository of MRI. Furthermore, FcHo mapping results were further validated using the nearest 18 and six neighbors and intra-subject reproducibility with each subject scanned two times. We also compared FcHo distribution patterns with local regional homogeneity (ReHo) to identify the similarity and differences of the two methods. Finally, FcHo method was used to identify the differences of whole brain functional connectivity patterns between professional Chinese chess players and novices to test its application. FcHo mapping consistently revealed that the high FcHo was mainly distributed in association cortex including parietal lobe, frontal lobe, occipital lobe and default mode network (DMN) related areas, whereas the low FcHo was mainly found in unimodal cortex including primary visual cortex, sensorimotor cortex, paracentral lobule and supplementary motor area. These results were further supported by analyses of the nearest 18 and six neighbors and intra-subject similarity. Moreover, FcHo showed both similar and different whole brain distribution patterns compared to ReHo. Finally, we demonstrated that FcHo can effectively identify the whole brain functional connectivity pattern differences between professional Chinese chess players and novices. Our findings indicated that FcHo is a reliable method to delineate the whole brain functional connectivity pattern similarity and may provide a new way to study the functional organization and to reveal neuropathological basis for brain disorders. Frontiers Media S.A. 2018-04-24 /pmc/articles/PMC5928195/ /pubmed/29740305 http://dx.doi.org/10.3389/fnhum.2018.00164 Text en Copyright © 2018 Wang, Xu, Wang and Wang. http://creativecommons.org/licenses/by/4.0/ 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 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.
spellingShingle Neuroscience
Wang, Lijie
Xu, Jinping
Wang, Chao
Wang, Jiaojian
Whole Brain Functional Connectivity Pattern Homogeneity Mapping
title Whole Brain Functional Connectivity Pattern Homogeneity Mapping
title_full Whole Brain Functional Connectivity Pattern Homogeneity Mapping
title_fullStr Whole Brain Functional Connectivity Pattern Homogeneity Mapping
title_full_unstemmed Whole Brain Functional Connectivity Pattern Homogeneity Mapping
title_short Whole Brain Functional Connectivity Pattern Homogeneity Mapping
title_sort whole brain functional connectivity pattern homogeneity mapping
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928195/
https://www.ncbi.nlm.nih.gov/pubmed/29740305
http://dx.doi.org/10.3389/fnhum.2018.00164
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