Factors related to cognitive fatigability in persons with multiple sclerosis and differences between healthy controls


Yiğit P., Abasıyanık Z., Baba C., Aygündüz Yapıcı N., Özakbaş S.

38th Congress of the European Committee for Treatment and Research in Multiple Sclerosis, Amsterdam, Netherlands, 26 - 28 October 2022

  • Publication Type: Conference Paper / Unpublished
  • City: Amsterdam
  • Country: Netherlands
  • Dokuz Eylül University Affiliated: Yes

Abstract

Background: Cognitive fatigability has been defined as a decline in cognitive performance during a

sustained cognitive task. Although correlates of subjective fatigue are well-studied in multiple sclerosis

(MS), related factors of cognitive fatigability (CF) are less described. Therefore, we aimed to investigate

determinants of CF in persons with MS (pwMS).

Methods: We administered the Paced Auditory Serial Addition Test (PASAT) and calculated the

percentage change between the first 1/3 part of the test and the last 1/3 part of the test to determine

the cognitive fatigability index (CFI). Brief Repeatable Battery of Neuropsychological Test (BRB-N),

including the Selective Reminding Test (SRT), 10/36 Spatial Recall Test (SPART), Symbol Digit Modalities

Test (SDMT), the Paced Auditory Serial Addition Task 3 s (PASAT 3), and the Word List Generation (WLG)

was applied to 83 pwMS (mean age:35.97±9.55, mean EDSS:1.76±1.18) and 35 age-gender matched

healthy controls (HC). Subjective fatigue, sleepiness, and depression were also assessed. 

Results: SPART (r=0.241), SDMT (r=0.327), and Stroop (r=0.233) scores were correlated with CFI. SDMT,

SPART, Stroop, and WLG were significantly associated with CF in the multivariate regression analyses

and explained 12.5% of the variance. Age, neurological disability level according to the EDSS, disease

duration, sleepiness, depression, and subjective were not associated with the CF. There was a non-

significant difference between pwMS and HC on CFI.

Conclusion: Our findings show that cognitive processing speed, visual memory, and verbal fluency are

weakly associated with CF in pwMS. Future work extending the present findings with more detailed

cognitive batteries, especially to the pwMS with higher disability levels, to determine predictors of CF

might be more informative.