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W W Beatty1

  • 1Department of Psychiatry and Behavioral Sciences, University of Oklahoma Health Sciences Center, Oklahoma City 73190, USA. william-beatty@ouhsc.edu

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Semantic fluency measures show promise for assessing cognitive deficits in multiple sclerosis (MS). These tests may offer a language-independent alternative to traditional verbal fluency tests for international research.

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Area of Science:

  • Neuroscience
  • Cognitive Psychology

Background:

  • Verbal fluency tests assess information retrieval deficits in multiple sclerosis (MS).
  • Current letter-based fluency tests (e.g., F, A, S) are language-dependent, limiting international research.
  • Semantic fluency offers a potential language-independent alternative.

Purpose of the Study:

  • To evaluate the utility of semantic fluency measures for discriminating between MS patients and healthy controls.
  • To compare the diagnostic performance of semantic fluency with traditional letter-based fluency tests.

Main Methods:

  • 203 MS patients and 87 healthy controls participated.
  • Participants completed letter-based fluency tasks (F, A, S) and semantic fluency tasks (animals, body parts).
  • Receiver operating characteristic (ROC) curve analyses were used to assess diagnostic accuracy.

Main Results:

  • Letter-based and semantic fluency measures demonstrated similar sensitivity and specificity in discriminating MS patients from controls.
  • Excluding patients with global cognitive impairment enhanced the performance of all fluency measures.
  • Semantic fluency measures appear viable for cross-linguistic applications.

Conclusions:

  • Semantic fluency tasks are effective in identifying cognitive deficits associated with multiple sclerosis.
  • These measures offer a valuable, language-independent alternative for international clinical trials involving MS patients.