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Assessing Cognitive Function in Multiple Sclerosis With Digital Tools: Observational Study.

Wan-Yu Hsu1, William Rowles1, Joaquin A Anguera1,2,3

  • 1Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, United States.

Journal of Medical Internet Research
|December 30, 2021
PubMed
Summary
This summary is machine-generated.

A new tablet-based cognitive test, Adaptive Cognitive Evaluation (ACE), shows promise for assessing cognitive impairment in multiple sclerosis (MS) patients. This digital tool may improve accessibility for routine cognitive screening in MS care.

Keywords:
cognitioncognitive assessmentdigital healthmHealthmultiple sclerosis

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Area of Science:

  • Neurology
  • Neuropsychology
  • Digital Health

Background:

  • Cognitive impairment (CI) is a common symptom in multiple sclerosis (MS).
  • Current comprehensive neuropsychological examinations are time-consuming, limiting their integration into standard MS care.
  • There is a need for accessible and efficient CI assessment tools for MS patients.

Purpose of the Study:

  • To evaluate the feasibility and assessment sensitivity of a tablet-based cognitive battery for patients with MS.
  • To determine if the Adaptive Cognitive Evaluation (ACE) can identify cognitive deficits in MS.
  • To explore the correlation between ACE performance and established cognitive measures.

Main Methods:

  • 53 MS participants (24 with CI, 29 without CI) and 24 non-MS controls were assessed.
  • A tablet-based cognitive battery, Adaptive Cognitive Evaluation (ACE), was administered.
  • Performance was compared with standard measures like the Symbol Digit Modalities Test (SDMT) and Paced Auditory Serial Addition Test (PASAT).

Main Results:

  • Significant correlations were found between ACE performance and SDMT (R=-0.57) and PASAT (R=-0.39).
  • The MS group with CI exhibited slower reaction times compared to non-MS and non-CI MS groups (P<.001, P=.004).
  • The CI MS group demonstrated higher attention costs than both non-MS and non-CI MS groups (P=.02, P<.001).

Conclusions:

  • The Adaptive Cognitive Evaluation (ACE) shows potential as a digital cognitive assessment tool for individuals with MS.
  • ACE modules demonstrated sensitivity in capturing group-level cognitive differences.
  • This tablet-based battery could enhance the accessibility of cognitive assessment in routine MS care.