Gray matter networks and cognitive impairment in multiple sclerosis

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 i...

Full description

Saved in:
Bibliographic Details
Published in:Multiple sclerosis 2019-03, Vol.25 (3), p.382-391
Main Authors: 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
Format: Article
Language:English
Subjects:
Adult
Cognition & reasoning
Cognitive ability
Cognitive Dysfunction - etiology
Cognitive Dysfunction - physiopathology
Executive function
Executive Function - physiology
Female
Gray Matter - diagnostic imaging
Gray Matter - pathology
Humans
Information processing
Magnetic Resonance Imaging
Male
Middle Aged
Multiple sclerosis
Multiple Sclerosis - complications
Multiple Sclerosis - diagnostic imaging
Multiple Sclerosis - pathology
Multiple Sclerosis - physiopathology
Nerve Net - diagnostic imaging
Nerve Net - pathology
Neurological complications
Original Research Papers
Regression analysis
Short term memory
Substantia grisea
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 
ISSN:1352-4585
1477-0970
DOI:10.1177/1352458517751650