Evidence map›Paper›PMID 32933478›Full record

ArticleBMC neuroscience2020

Distributed causality in resting-state network connectivity in the acute and remitting phases of RRMS.

Lin Wu, Muhua Huang, Fuqing Zhou, Xianjun Zeng, Honghan Gong

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In one paragraph

Article in BMC neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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2citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lin WuDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, People's Republic of China.
Muhua HuangDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, People's Republic of China.
Fuqing ZhouDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, People's Republic of China. fq.chou@yahoo.com.
Xianjun ZengDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, People's Republic of China.
Honghan GongDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, People's Republic of China.

Funding

National Natural Science Foundation of China 81560284National Natural Science Foundation of China 81771808the Science and Technology Project of Jiangxi Health Committee 20181020the Science and Technology Research Project of Jiangxi Provincial Department of Education 700993003Youth Science Foundation of Jiangxi Province 2017BAB215048
6 · The paper itself

Abstract

backgroundAlthough previous studies have shown that intra-network abnormalities in brain functional networks are correlated with clinical/cognitive impairment in multiple sclerosis (MS), there is little information regarding the pattern of causal interactions among cognition-related resting-state networks (RSNs) in different disease stages of relapsing-remitting MS (RRMS) patients. We hypothesized that abnormalities of causal interactions among RSNs occurred in RRMS patients in the acute and remitting phases.

methodsSeventeen patients in the acute phases of RRMS, 24 patients in the remitting phases of RRMS, and 23 appropriately matched healthy controls participated in this study. First, we used group independent component analysis to extract the time courses of the spatially independent components from all the subjects. Then, the Granger causality analysis was used to investigate the causal relationships among RSNs in the spectral domain and to identify correlations with clinical indices.

resultsCompared with the patients in the acute phase of RRMS, patients in the remitting phase of RRMS showed a significantly lower expanded disability status scale, modified fatigue impact scale scores, and significantly higher paced auditory serial addition test (PASAT) scores. Compared with healthy subjects, during the acute phase, RRMS patients had significantly increased driving connectivity from the right executive control network (rECN) to the anterior salience network (aSN), and the causal coefficient was negatively correlated with the PASAT score. During the remitting phase, RRMS patients had significantly increased driving connectivity from the rECN to the aSN and from the rECN to the visuospatial network.

conclusionsTogether with the disease duration (mean disease duration < 5 years) and relatively better clinical scores than those in the acute phase, abnormal connections, such as the information flow from the rECN to the aSN and the rECN to the visuospatial network, might provide adaptive compensation in the remitting phase of RRMS.

Indexed as

AdolescentAdultAgedBrain MappingCausalityDisability EvaluationExecutive FunctionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple Sclerosis, Relapsing-RemittingNerve NetPrincipal Component AnalysisRestAcute phaseGranger causalityMultiple sclerosisRemitting phaseResting-state networks

Identifiers

PMID32933478
PMCPMC7493168

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.