Gray matter networks and cognitive impairment in multiple sclerosis

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art_RIMKUS_Gray_matter_networks_and_cognitive_impairment_in_multiple_2019.PDF (180.8 KB)
Citações na Scopus
42
Tipo de produção
article
Data de publicação
2019
DOI
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Editora
SAGE PUBLICATIONS LTD
Autores
SCHOONHEIM, Menno M.
STEENWIJK, Martijn D.
VRENKEN, Hugo
EIJLERS, Anand J. C.
KILLESTEIN, Joep
WATTJES, Mike P.
BARKHOF, Frederik
TIJMS, Betty M.
Citação
MULTIPLE SCLEROSIS JOURNAL, v.25, n.3, p.382-391, 2019
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
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.
Palavras-chave
Single-subject gray matter networks, cognitive impairment, magnetic resonance imaging, multiple sclerosis
URI
https://observatorio.fm.usp.br/handle/OPI/31689
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Coleções
Artigos e Materiais de Revistas Científicas - FM/MDR
Artigos e Materiais de Revistas Científicas - HC/InRad
Artigos e Materiais de Revistas Científicas - LIM/44