Cargando…

Synchronization within, and interactions between, the default mode and dorsal attention networks in relapsing-remitting multiple sclerosis

BACKGROUND AND PURPOSE: The effects of the interactions between the default mode network (DMN) and the dorsal attention network (DAN), which present anticorrelated behaviors, in relapsing-remitting multiple sclerosis (RRMS) are poorly understood. This study used resting-state functional connectivity...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Muhua, Zhou, Fuqing, Wu, Lin, Wang, Bo, Wan, Hui, Li, Fangjun, Zeng, Xianjun, Gong, Honghan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5957478/
https://www.ncbi.nlm.nih.gov/pubmed/29795982
http://dx.doi.org/10.2147/NDT.S155478
_version_ 1783324075297341440
author Huang, Muhua
Zhou, Fuqing
Wu, Lin
Wang, Bo
Wan, Hui
Li, Fangjun
Zeng, Xianjun
Gong, Honghan
author_facet Huang, Muhua
Zhou, Fuqing
Wu, Lin
Wang, Bo
Wan, Hui
Li, Fangjun
Zeng, Xianjun
Gong, Honghan
author_sort Huang, Muhua
collection PubMed
description BACKGROUND AND PURPOSE: The effects of the interactions between the default mode network (DMN) and the dorsal attention network (DAN), which present anticorrelated behaviors, in relapsing-remitting multiple sclerosis (RRMS) are poorly understood. This study used resting-state functional connectivity (FC) and the Granger causality test (GCT) to examine changes in the undirected and effective functional network connectivity (FNC) between the two networks during the remitting phase in RRMS patients. PATIENTS AND METHODS: Thirty-three patients experiencing a clinically diagnosed remitting phase of RRMS and 33 well-matched healthy control subjects participated in this study. First, an independent component (IC) analysis was performed to preprocess the functional magnetic resonance imaging data and select resting-state networks. Then, an FNC analysis and the GCT were combined to examine the temporal correlations between the ICs of the DMN and DAN and to identify correlations with clinical markers. RESULTS: Compared with the healthy subjects, the RRMS patients in the remitting phase showed the following: 1) significantly decreased FC within the DAN in the postcentral gyrus and decreased FC within the DMN in several regions except the parahippocampal gyrus, where increased FC was observed; 2) a relatively stable interaction between the two anticorrelated networks as well as a driving connectivity from the DAN to DMN (IC15); and 3) significantly positive correlations between the connectivity coefficient of the right superior temporal gyrus and the Modified Fatigue Impact Scale score (ρ = 0.379, p = 0.036). CONCLUSION: Adaptive mechanisms that maintain stable interactions might occur between the DMN and DAN during the remitting phase in RRMS patients.
format Online
Article
Text
id pubmed-5957478
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Dove Medical Press
record_format MEDLINE/PubMed
spelling pubmed-59574782018-05-24 Synchronization within, and interactions between, the default mode and dorsal attention networks in relapsing-remitting multiple sclerosis Huang, Muhua Zhou, Fuqing Wu, Lin Wang, Bo Wan, Hui Li, Fangjun Zeng, Xianjun Gong, Honghan Neuropsychiatr Dis Treat Original Research BACKGROUND AND PURPOSE: The effects of the interactions between the default mode network (DMN) and the dorsal attention network (DAN), which present anticorrelated behaviors, in relapsing-remitting multiple sclerosis (RRMS) are poorly understood. This study used resting-state functional connectivity (FC) and the Granger causality test (GCT) to examine changes in the undirected and effective functional network connectivity (FNC) between the two networks during the remitting phase in RRMS patients. PATIENTS AND METHODS: Thirty-three patients experiencing a clinically diagnosed remitting phase of RRMS and 33 well-matched healthy control subjects participated in this study. First, an independent component (IC) analysis was performed to preprocess the functional magnetic resonance imaging data and select resting-state networks. Then, an FNC analysis and the GCT were combined to examine the temporal correlations between the ICs of the DMN and DAN and to identify correlations with clinical markers. RESULTS: Compared with the healthy subjects, the RRMS patients in the remitting phase showed the following: 1) significantly decreased FC within the DAN in the postcentral gyrus and decreased FC within the DMN in several regions except the parahippocampal gyrus, where increased FC was observed; 2) a relatively stable interaction between the two anticorrelated networks as well as a driving connectivity from the DAN to DMN (IC15); and 3) significantly positive correlations between the connectivity coefficient of the right superior temporal gyrus and the Modified Fatigue Impact Scale score (ρ = 0.379, p = 0.036). CONCLUSION: Adaptive mechanisms that maintain stable interactions might occur between the DMN and DAN during the remitting phase in RRMS patients. Dove Medical Press 2018-05-14 /pmc/articles/PMC5957478/ /pubmed/29795982 http://dx.doi.org/10.2147/NDT.S155478 Text en © 2018 Huang et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Huang, Muhua
Zhou, Fuqing
Wu, Lin
Wang, Bo
Wan, Hui
Li, Fangjun
Zeng, Xianjun
Gong, Honghan
Synchronization within, and interactions between, the default mode and dorsal attention networks in relapsing-remitting multiple sclerosis
title Synchronization within, and interactions between, the default mode and dorsal attention networks in relapsing-remitting multiple sclerosis
title_full Synchronization within, and interactions between, the default mode and dorsal attention networks in relapsing-remitting multiple sclerosis
title_fullStr Synchronization within, and interactions between, the default mode and dorsal attention networks in relapsing-remitting multiple sclerosis
title_full_unstemmed Synchronization within, and interactions between, the default mode and dorsal attention networks in relapsing-remitting multiple sclerosis
title_short Synchronization within, and interactions between, the default mode and dorsal attention networks in relapsing-remitting multiple sclerosis
title_sort synchronization within, and interactions between, the default mode and dorsal attention networks in relapsing-remitting multiple sclerosis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5957478/
https://www.ncbi.nlm.nih.gov/pubmed/29795982
http://dx.doi.org/10.2147/NDT.S155478
work_keys_str_mv AT huangmuhua synchronizationwithinandinteractionsbetweenthedefaultmodeanddorsalattentionnetworksinrelapsingremittingmultiplesclerosis
AT zhoufuqing synchronizationwithinandinteractionsbetweenthedefaultmodeanddorsalattentionnetworksinrelapsingremittingmultiplesclerosis
AT wulin synchronizationwithinandinteractionsbetweenthedefaultmodeanddorsalattentionnetworksinrelapsingremittingmultiplesclerosis
AT wangbo synchronizationwithinandinteractionsbetweenthedefaultmodeanddorsalattentionnetworksinrelapsingremittingmultiplesclerosis
AT wanhui synchronizationwithinandinteractionsbetweenthedefaultmodeanddorsalattentionnetworksinrelapsingremittingmultiplesclerosis
AT lifangjun synchronizationwithinandinteractionsbetweenthedefaultmodeanddorsalattentionnetworksinrelapsingremittingmultiplesclerosis
AT zengxianjun synchronizationwithinandinteractionsbetweenthedefaultmodeanddorsalattentionnetworksinrelapsingremittingmultiplesclerosis
AT gonghonghan synchronizationwithinandinteractionsbetweenthedefaultmodeanddorsalattentionnetworksinrelapsingremittingmultiplesclerosis