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Detecting cognitive fatigue in multiple sclerosis: method matters.

L A S Walker1, J A Berard, L I Berrigan

  • 1Neuropsychology Service, The Ottawa Hospital, Ottawa, Canada. lwalker@ottawahospital.on.ca

Journal of the Neurological Sciences
|February 17, 2012
PubMed
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The Paced Auditory Serial Addition Task (PASAT) effectively detects cognitive fatigue in multiple sclerosis (MS). Different scoring methods, particularly percent dyad scoring, enhance its sensitivity for identifying cognitive fatigue in MS patients.

Area of Science:

  • Neuroscience
  • Clinical Psychology

Background:

  • Fatigue is a common and disabling symptom in multiple sclerosis (MS).
  • Cognitive fatigue (CF) is characterized by reduced performance during sustained cognitive tasks.
  • Understanding CF detection methods is crucial for managing MS symptoms.

Purpose of the Study:

  • To evaluate the effectiveness of the Paced Auditory Serial Addition Task (PASAT) and the Computerized Test of Information Processing (CTIP) in detecting cognitive fatigue (CF) in MS.
  • To examine the impact of different methodologies on CF detection.
  • To investigate the relationship between objective and subjective measures of fatigue.

Main Methods:

  • 70 individuals with MS and 72 healthy controls (HC) completed the PASAT (3-second and 2-second intervals) and CTIP.

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  • Subjective fatigue was assessed using the Fatigue Impact Scale (FIS).
  • Data were analyzed to compare performance between groups and correlate objective and subjective fatigue measures.

    • Main Results:

    • Both MS and HC groups performed worse on cognitively demanding tasks.
    • PASAT performance varied between groups at the 3-second interval, with MS patients showing increased susceptibility to CF over time.
    • The relationship between subjective and objective fatigue measures differed based on methodology, with PASAT showing good correlation with the FIS Cognitive Dimension.

    Conclusions:

    • The PASAT is a sensitive tool for measuring cognitive fatigue (CF) in multiple sclerosis (MS).
    • The percent dyad scoring method of the PASAT is particularly sensitive to CF.
    • The ability to link objective and subjective fatigue measures is dependent on the chosen methodology.