Rimkus, CM;
Schoonheim, MM;
Steenwijk, MD;
Vrenken, H;
Eijlers, AJ;
Killestein, J;
Wattjes, MP;
... Tijms, BM; + view all
(2018)
Gray matter networks and cognitive impairment in multiple sclerosis.
Multiple Sclerosis Journal
10.1177/1352458517751650.
(In press).
Preview |
Text (Published article)
Rimkus_Gray_matter_networks_VoR.pdf - Published Version Download (183kB) | Preview |
Preview |
Text (Supplementary tables)
Rimkus_Gray_matter_networks_Suppl.pdf Download (275kB) | Preview |
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.
| Type: | Article |
|---|---|
| Title: | Gray matter networks and cognitive impairment in multiple sclerosis |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1177/1352458517751650 |
| Publisher version: | https://doi.org/10.1177/1352458517751650 |
| Language: | English |
| Additional information: | This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
| Keywords: | Single-subject gray matter networks, cognitive impairment, magnetic resonance imaging, multiple sclerosis |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Brain Repair and Rehabilitation |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10041933 |
Archive Staff Only
 |
View Item |
