Back to Search
Start Over
Social cognition in multiple sclerosis: A systematic review and meta-analysis.
- Source :
-
Neurology [Neurology] 2016 Oct 18; Vol. 87 (16), pp. 1727-1736. Date of Electronic Publication: 2016 Sep 21. - Publication Year :
- 2016
-
Abstract
- Objective: To quantify the magnitude of deficits in theory of mind (ToM) and facial emotion recognition among patients with multiple sclerosis (MS) relative to healthy controls.<br />Methods: An electronic database search of Ovid MEDLINE, PsycINFO, and Embase was conducted from inception to April 1, 2016. Eligible studies were original research articles published in peer-reviewed journals that examined ToM or facial emotion recognition among patients with a diagnosis of MS and a healthy control comparison group. Data were independently extracted by 2 authors. Effect sizes were calculated using Hedges g.<br />Results: Twenty-one eligible studies were identified assessing ToM (12 studies) and/or facial emotion recognition (13 studies) among 722 patients with MS and 635 controls. Deficits in both ToM (g = -0.71, 95% confidence interval [CI] -0.88 to -0.55, p < 0.001) and facial emotion recognition (g = -0.64, 95% CI -0.81 to -0.47, p < 0.001) were identified among patients with MS relative to healthy controls. The largest deficits were observed for visual ToM tasks and for the recognition of negative facial emotional expressions. Older age predicted larger emotion recognition deficits. Other cognitive domains were inconsistently associated with social cognitive performance.<br />Conclusions: Social cognitive deficits are an overlooked but potentially important aspect of cognitive impairment in MS with potential prognostic significance for social functioning and quality of life. Further research is required to clarify the longitudinal course of social cognitive dysfunction, its association with MS disease characteristics and neurocognitive impairment, and the MS-specific neurologic damage underlying these deficits.<br /> (© 2016 American Academy of Neurology.)
Details
- Language :
- English
- ISSN :
- 1526-632X
- Volume :
- 87
- Issue :
- 16
- Database :
- MEDLINE
- Journal :
- Neurology
- Publication Type :
- Academic Journal
- Accession number :
- 27655736
- Full Text :
- https://doi.org/10.1212/WNL.0000000000003236