Alterations in functional connectivity are associated with white matter lesions and information processing efficiency in multiple sclerosis

José Miguel Soares; Raquel Conde; Ricardo Magalhães; Paulo Marques; Rosana Magalhães; Luciana Gomes; Óscar F. Gonçalves; Mavilde Arantes; Adriana Sampaio

doi:10.1007/s11682-020-00264-z

Alterations in functional connectivity are associated with white matter lesions and information processing efficiency in multiple sclerosis

José Miguel Soares^*, Raquel Conde, Ricardo Magalhães, Paulo Marques, Rosana Magalhães, Luciana Gomes, Óscar F. Gonçalves, Mavilde Arantes, Adriana Sampaio

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

Functional connectivity (FC) is typically altered in individuals with Multiple Sclerosis (MS). However, in relapsing-remitting multiple sclerosis (RRMS) patients, the relationship between brain FC, tissue integrity and cognitive impairment is still unclear as contradictory findings have been documented. In this exploratory study we compared both the whole brain connectome and resting state networks (RSNs) FC of twenty-one RRMS and seventeen healthy controls (HCs), using combined network based statistics and independent component analyses. The total white matter (WM) lesion volume and information processing efficiency were also correlated with FC in the RRMS group. Both whole brain connectome and individual RSNs FC were diminished in patients with RRMS compared to HC. Additionally, the reduction in FC was found to be a function of the total WM lesion volume, with greatest impact in those harboring the largest lesion volume. Finally, a positive correlation between FC and information processing efficiency was observed in RRMS. This complimentary whole brain and RSNs FC approach can contribute to clarify literature inconsistencies regarding FC alterations and provide new insights on the white matter structural damage in explaining functional abnormalities in RRMS.

Original language	English
Pages (from-to)	375-388
Number of pages	14
Journal	Brain Imaging and Behavior
Volume	15
Issue number	1
DOIs	https://doi.org/10.1007/s11682-020-00264-z
Publication status	Published - Feb 2021
Externally published	Yes

Keywords

Functional connectivity
Information processing efficiency
Multiple sclerosis
Resting state
White matter lesion

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10.1007/s11682-020-00264-z

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title = "Alterations in functional connectivity are associated with white matter lesions and information processing efficiency in multiple sclerosis",

abstract = "Functional connectivity (FC) is typically altered in individuals with Multiple Sclerosis (MS). However, in relapsing-remitting multiple sclerosis (RRMS) patients, the relationship between brain FC, tissue integrity and cognitive impairment is still unclear as contradictory findings have been documented. In this exploratory study we compared both the whole brain connectome and resting state networks (RSNs) FC of twenty-one RRMS and seventeen healthy controls (HCs), using combined network based statistics and independent component analyses. The total white matter (WM) lesion volume and information processing efficiency were also correlated with FC in the RRMS group. Both whole brain connectome and individual RSNs FC were diminished in patients with RRMS compared to HC. Additionally, the reduction in FC was found to be a function of the total WM lesion volume, with greatest impact in those harboring the largest lesion volume. Finally, a positive correlation between FC and information processing efficiency was observed in RRMS. This complimentary whole brain and RSNs FC approach can contribute to clarify literature inconsistencies regarding FC alterations and provide new insights on the white matter structural damage in explaining functional abnormalities in RRMS.",

keywords = "Functional connectivity, Information processing efficiency, Multiple sclerosis, Resting state, White matter lesion",

author = "Soares, {Jos{\'e} Miguel} and Raquel Conde and Ricardo Magalh{\~a}es and Paulo Marques and Rosana Magalh{\~a}es and Luciana Gomes and Gon{\c c}alves, {{\'O}scar F.} and Mavilde Arantes and Adriana Sampaio",

note = "Funding Information: This study was conducted at the Psychology Research Centre (PSI/01662), School of Psychology, University of Minho, and supported by the Portuguese Foundation for Science and Technology and the Portuguese Ministry of Science, Technology and Higher Education (UID/PSI/01662/2019), through the national funds (PIDDAC) and PIC/IC/83290/2007. Acknowledgments Publisher Copyright: {\textcopyright} 2020, Springer Science+Business Media, LLC, part of Springer Nature. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",

year = "2021",

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doi = "10.1007/s11682-020-00264-z",

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AU - Soares, José Miguel

AU - Conde, Raquel

AU - Magalhães, Ricardo

AU - Marques, Paulo

AU - Magalhães, Rosana

AU - Gomes, Luciana

AU - Gonçalves, Óscar F.

AU - Arantes, Mavilde

AU - Sampaio, Adriana

N1 - Funding Information: This study was conducted at the Psychology Research Centre (PSI/01662), School of Psychology, University of Minho, and supported by the Portuguese Foundation for Science and Technology and the Portuguese Ministry of Science, Technology and Higher Education (UID/PSI/01662/2019), through the national funds (PIDDAC) and PIC/IC/83290/2007. Acknowledgments Publisher Copyright: © 2020, Springer Science+Business Media, LLC, part of Springer Nature. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2021/2

Y1 - 2021/2

N2 - Functional connectivity (FC) is typically altered in individuals with Multiple Sclerosis (MS). However, in relapsing-remitting multiple sclerosis (RRMS) patients, the relationship between brain FC, tissue integrity and cognitive impairment is still unclear as contradictory findings have been documented. In this exploratory study we compared both the whole brain connectome and resting state networks (RSNs) FC of twenty-one RRMS and seventeen healthy controls (HCs), using combined network based statistics and independent component analyses. The total white matter (WM) lesion volume and information processing efficiency were also correlated with FC in the RRMS group. Both whole brain connectome and individual RSNs FC were diminished in patients with RRMS compared to HC. Additionally, the reduction in FC was found to be a function of the total WM lesion volume, with greatest impact in those harboring the largest lesion volume. Finally, a positive correlation between FC and information processing efficiency was observed in RRMS. This complimentary whole brain and RSNs FC approach can contribute to clarify literature inconsistencies regarding FC alterations and provide new insights on the white matter structural damage in explaining functional abnormalities in RRMS.

AB - Functional connectivity (FC) is typically altered in individuals with Multiple Sclerosis (MS). However, in relapsing-remitting multiple sclerosis (RRMS) patients, the relationship between brain FC, tissue integrity and cognitive impairment is still unclear as contradictory findings have been documented. In this exploratory study we compared both the whole brain connectome and resting state networks (RSNs) FC of twenty-one RRMS and seventeen healthy controls (HCs), using combined network based statistics and independent component analyses. The total white matter (WM) lesion volume and information processing efficiency were also correlated with FC in the RRMS group. Both whole brain connectome and individual RSNs FC were diminished in patients with RRMS compared to HC. Additionally, the reduction in FC was found to be a function of the total WM lesion volume, with greatest impact in those harboring the largest lesion volume. Finally, a positive correlation between FC and information processing efficiency was observed in RRMS. This complimentary whole brain and RSNs FC approach can contribute to clarify literature inconsistencies regarding FC alterations and provide new insights on the white matter structural damage in explaining functional abnormalities in RRMS.

KW - Functional connectivity

KW - Information processing efficiency

KW - Multiple sclerosis

KW - Resting state

KW - White matter lesion

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JO - Brain Imaging and Behavior

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ER -

Alterations in functional connectivity are associated with white matter lesions and information processing efficiency in multiple sclerosis

Abstract

Keywords

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