Abstract

BACKGROUND: Coordinated patterns of gray matter morphology can be represented as networks, and network disruptions may explain cognitive dysfunction related to multiple sclerosis (MS).

OBJECTIVE: To investigate whether single-subject gray matter network properties are related to impaired cognition in MS.

METHODS: We studied 148 MS patients (99 female) and 33 healthy controls (HC, 21 female). Seven network parameters were computed and compared within MS between cognitively normal and impaired subjects, and associated with performance on neuropsychological tests in six cognitive domains with regression models. Analyses were controlled for age, gender, whole-brain gray matter volumes, and education level.

RESULTS: Compared to MS subjects with normal cognition, MS subjects with cognitive impairment showed a more random network organization as indicated by lower lambda values (all p < 0.05). Worse average cognition and executive function were associated with lower lambda values. Impaired information processing speed, working memory, and attention were associated with lower clustering values.

CONCLUSION: Our findings indicate that MS subjects with a more randomly organized gray matter network show worse cognitive functioning, suggesting that single-subject gray matter graphs may capture neurological dysfunction due to MS.

Original languageEnglish
Pages (from-to)382-391
JournalMultiple Sclerosis
Volume25
Issue number3
DOIs
Publication statusPublished - 1 Mar 2019

Cite this

@article{14fb065e6bec495c851ad3caa3acf827,
title = "Gray matter networks and cognitive impairment in multiple sclerosis",
abstract = "BACKGROUND: Coordinated patterns of gray matter morphology can be represented as networks, and network disruptions may explain cognitive dysfunction related to multiple sclerosis (MS).OBJECTIVE: To investigate whether single-subject gray matter network properties are related to impaired cognition in MS.METHODS: We studied 148 MS patients (99 female) and 33 healthy controls (HC, 21 female). Seven network parameters were computed and compared within MS between cognitively normal and impaired subjects, and associated with performance on neuropsychological tests in six cognitive domains with regression models. Analyses were controlled for age, gender, whole-brain gray matter volumes, and education level.RESULTS: Compared to MS subjects with normal cognition, MS subjects with cognitive impairment showed a more random network organization as indicated by lower lambda values (all p < 0.05). Worse average cognition and executive function were associated with lower lambda values. Impaired information processing speed, working memory, and attention were associated with lower clustering values.CONCLUSION: Our findings indicate that MS subjects with a more randomly organized gray matter network show worse cognitive functioning, suggesting that single-subject gray matter graphs may capture neurological dysfunction due to MS.",
keywords = "Journal Article",
author = "Rimkus, {Carolina M} and Schoonheim, {Menno M} and Steenwijk, {Martijn D} and Hugo Vrenken and Eijlers, {Anand Jc} and Joep Killestein and Wattjes, {Mike P} and Leite, {Claudia C} and Frederik Barkhof and Tijms, {Betty M}",
year = "2019",
month = "3",
day = "1",
doi = "10.1177/1352458517751650",
language = "English",
volume = "25",
pages = "382--391",
journal = "Multiple Sclerosis",
issn = "1352-4585",
publisher = "SAGE Publications Ltd",
number = "3",

}

Gray matter networks and cognitive impairment in multiple sclerosis. / Rimkus, Carolina M; Schoonheim, Menno M; Steenwijk, Martijn D; Vrenken, Hugo; Eijlers, Anand Jc; Killestein, Joep; Wattjes, Mike P; Leite, Claudia C; Barkhof, Frederik; Tijms, Betty M.

In: Multiple Sclerosis, Vol. 25, No. 3, 01.03.2019, p. 382-391.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Gray matter networks and cognitive impairment in multiple sclerosis

AU - Rimkus, Carolina M

AU - Schoonheim, Menno M

AU - Steenwijk, Martijn D

AU - Vrenken, Hugo

AU - Eijlers, Anand Jc

AU - Killestein, Joep

AU - Wattjes, Mike P

AU - Leite, Claudia C

AU - Barkhof, Frederik

AU - Tijms, Betty M

PY - 2019/3/1

Y1 - 2019/3/1

N2 - BACKGROUND: Coordinated patterns of gray matter morphology can be represented as networks, and network disruptions may explain cognitive dysfunction related to multiple sclerosis (MS).OBJECTIVE: To investigate whether single-subject gray matter network properties are related to impaired cognition in MS.METHODS: We studied 148 MS patients (99 female) and 33 healthy controls (HC, 21 female). Seven network parameters were computed and compared within MS between cognitively normal and impaired subjects, and associated with performance on neuropsychological tests in six cognitive domains with regression models. Analyses were controlled for age, gender, whole-brain gray matter volumes, and education level.RESULTS: Compared to MS subjects with normal cognition, MS subjects with cognitive impairment showed a more random network organization as indicated by lower lambda values (all p < 0.05). Worse average cognition and executive function were associated with lower lambda values. Impaired information processing speed, working memory, and attention were associated with lower clustering values.CONCLUSION: Our findings indicate that MS subjects with a more randomly organized gray matter network show worse cognitive functioning, suggesting that single-subject gray matter graphs may capture neurological dysfunction due to MS.

AB - BACKGROUND: Coordinated patterns of gray matter morphology can be represented as networks, and network disruptions may explain cognitive dysfunction related to multiple sclerosis (MS).OBJECTIVE: To investigate whether single-subject gray matter network properties are related to impaired cognition in MS.METHODS: We studied 148 MS patients (99 female) and 33 healthy controls (HC, 21 female). Seven network parameters were computed and compared within MS between cognitively normal and impaired subjects, and associated with performance on neuropsychological tests in six cognitive domains with regression models. Analyses were controlled for age, gender, whole-brain gray matter volumes, and education level.RESULTS: Compared to MS subjects with normal cognition, MS subjects with cognitive impairment showed a more random network organization as indicated by lower lambda values (all p < 0.05). Worse average cognition and executive function were associated with lower lambda values. Impaired information processing speed, working memory, and attention were associated with lower clustering values.CONCLUSION: Our findings indicate that MS subjects with a more randomly organized gray matter network show worse cognitive functioning, suggesting that single-subject gray matter graphs may capture neurological dysfunction due to MS.

KW - Journal Article

U2 - 10.1177/1352458517751650

DO - 10.1177/1352458517751650

M3 - Article

VL - 25

SP - 382

EP - 391

JO - Multiple Sclerosis

JF - Multiple Sclerosis

SN - 1352-4585

IS - 3

ER -