Characterization of social cognition impairment in multiple sclerosis.

Neuhaus, M; Bagutti, S; Yaldizli, Ö; Zwahlen, D; Schaub, S; Frey, B; Fischer-Barnicol, B; Burgunder, Jean-Marc; Martory, M-D; Pöttgen, J; Annoni, J-M; Penner, I-K (2018). Characterization of social cognition impairment in multiple sclerosis. European journal of neurology, 25(1), pp. 90-96. Wiley-Blackwell 10.1111/ene.13457

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BACKGROUND AND PURPOSE

Multiple sclerosis (MS) has been associated with deficits in social cognition. However, little is known about which domains of social cognition are predominantly affected and what other factors are associated with it. The aim was (i) to characterize social cognition deficit in a group of MS outpatients and (ii) to relate impairment in social cognition to overall cognitive status, depression and fatigue.

METHODS

Thirty-five MS patients (mean disease duration 12.9 years, median Expanded Disability Status Scale (EDSS) 3 and 34 healthy controls (HCs) were examined using the German version of the Geneva Social Cognition Scale to measure different domains of social cognition. Standard neuropsychological testing was applied to all patients and to 20 HCs. Patient-reported outcomes included questionnaires for fatigue, depression, anxiety and executive-behavioural disturbances.

RESULTS

The mean social cognition raw score was lower in the MS patients compared to the HCs (86.5 ± 8.7 vs. 91.2 ± 5.9, P = 0.005; d = 0.6) and did not correlate with EDSS or disease duration. The difference was driven by facial affect recognition and the understanding of complex social situations (14% and 23% of patients respectively under the cut-off). The impairment in these two tasks did not correlate with general cognitive performance or depression but with fatigue.

CONCLUSIONS

The impairment in our group was restricted to high order and affective social cognition tasks and independent of general cognitive performance, EDSS, disease duration and depression. Fatigue correlated with social cognition performance, which might be due to common underlying neuronal networks.

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