Cargando…
Characterizing dynamic local functional connectivity in the human brain
Functional connectivity (FC), obtained from functional magnetic resonance imaging (fMRI), brings insights into the functional organization of the brain. Recently, rich and complex behaviour of brain has been revealed by the dynamic fluctuation of FC, which had previously been regarded as confounding...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4882585/ https://www.ncbi.nlm.nih.gov/pubmed/27231194 http://dx.doi.org/10.1038/srep26976 |
_version_ | 1782434140377841664 |
---|---|
author | Deng, Lifu Sun, Junfeng Cheng, Lin Tong, Shanbao |
author_facet | Deng, Lifu Sun, Junfeng Cheng, Lin Tong, Shanbao |
author_sort | Deng, Lifu |
collection | PubMed |
description | Functional connectivity (FC), obtained from functional magnetic resonance imaging (fMRI), brings insights into the functional organization of the brain. Recently, rich and complex behaviour of brain has been revealed by the dynamic fluctuation of FC, which had previously been regarded as confounding ‘noise’. While the dynamics of long-distance, inter-regional FC has been extensively studied, the dynamics of local FC within a few millimetres in space remains largely unexplored. In this study, the local FC was depicted by regional homogeneity (ReHo), and the dynamics of local FC was obtained using sliding windows method. We observed a robust positive correlation between ReHo and its temporal variability, which was shown to be an intrinsic feature of the brain rather than a pure stochastic effect. Furthermore, fluctuation of ReHo was associated with global functional organization: (i) brain regions with higher centrality of inter-regional FC tended to possess higher ReHo variability; (ii) coherence of ReHo fluctuation was higher within brain’s functional modules. Finally, we observed alteration of ReHo variability during a motor task compared with resting-state. Our findings associated the temporal fluctuation of ReHo with brain function, opening up the possibility of dynamic local FC study in the future. |
format | Online Article Text |
id | pubmed-4882585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48825852016-06-08 Characterizing dynamic local functional connectivity in the human brain Deng, Lifu Sun, Junfeng Cheng, Lin Tong, Shanbao Sci Rep Article Functional connectivity (FC), obtained from functional magnetic resonance imaging (fMRI), brings insights into the functional organization of the brain. Recently, rich and complex behaviour of brain has been revealed by the dynamic fluctuation of FC, which had previously been regarded as confounding ‘noise’. While the dynamics of long-distance, inter-regional FC has been extensively studied, the dynamics of local FC within a few millimetres in space remains largely unexplored. In this study, the local FC was depicted by regional homogeneity (ReHo), and the dynamics of local FC was obtained using sliding windows method. We observed a robust positive correlation between ReHo and its temporal variability, which was shown to be an intrinsic feature of the brain rather than a pure stochastic effect. Furthermore, fluctuation of ReHo was associated with global functional organization: (i) brain regions with higher centrality of inter-regional FC tended to possess higher ReHo variability; (ii) coherence of ReHo fluctuation was higher within brain’s functional modules. Finally, we observed alteration of ReHo variability during a motor task compared with resting-state. Our findings associated the temporal fluctuation of ReHo with brain function, opening up the possibility of dynamic local FC study in the future. Nature Publishing Group 2016-05-27 /pmc/articles/PMC4882585/ /pubmed/27231194 http://dx.doi.org/10.1038/srep26976 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Deng, Lifu Sun, Junfeng Cheng, Lin Tong, Shanbao Characterizing dynamic local functional connectivity in the human brain |
title | Characterizing dynamic local functional connectivity in the human brain |
title_full | Characterizing dynamic local functional connectivity in the human brain |
title_fullStr | Characterizing dynamic local functional connectivity in the human brain |
title_full_unstemmed | Characterizing dynamic local functional connectivity in the human brain |
title_short | Characterizing dynamic local functional connectivity in the human brain |
title_sort | characterizing dynamic local functional connectivity in the human brain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4882585/ https://www.ncbi.nlm.nih.gov/pubmed/27231194 http://dx.doi.org/10.1038/srep26976 |
work_keys_str_mv | AT denglifu characterizingdynamiclocalfunctionalconnectivityinthehumanbrain AT sunjunfeng characterizingdynamiclocalfunctionalconnectivityinthehumanbrain AT chenglin characterizingdynamiclocalfunctionalconnectivityinthehumanbrain AT tongshanbao characterizingdynamiclocalfunctionalconnectivityinthehumanbrain |