ArticleFrontiers in human neuroscience2018
Whole Brain Functional Connectivity Pattern Homogeneity Mapping.
Article in Frontiers in human neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Alterations in resting-state whole-brain functional connectivity pattern similarity in bipolar disorder patients.Brain and behavior · 2022Article
- Professional chess expertise modulates whole brain functional connectivity pattern homogeneity and couplings.Brain imaging and behavior · 2022Article
- Morphometric and Functional Brain Connectivity Differentiates Chess Masters From Amateur Players.Frontiers in neuroscience · 2021Article
- Abnormal Whole Brain Functional Connectivity Pattern Homogeneity and Couplings in Migraine Without Aura.Frontiers in human neuroscience · 2020Article
- Abnormal Global Functional Connectivity Patterns in Medication-Free Major Depressive Disorder.Frontiers in neuroscience · 2018Article
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4 authors.
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Abstract
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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