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Related Experiment Video

Updated: Jun 29, 2026

Computerized Adaptive Testing System of Functional Assessment of Stroke
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Published on: January 7, 2019

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Acute post-stroke cognitive test performance predicts one-year functional independence.

Alan Romanowski1,2, Kathleen Langbehn3, Maurizio Corbetta4,5

  • 1Department of Pediatrics, Carver College of Medicine, University of Iowa, Iowa, USA.

Medrxiv : the Preprint Server for Health Sciences
|December 25, 2025
PubMed
Summary
This summary is machine-generated.

General cognitive ability (g) predicts functional outcomes after stroke. This cognitive measure and visuospatial abilities are key predictors of long-term recovery and independence.

Keywords:
Functional OutcomesFunctional StatusGeneral Cognitive AbilityNeuropsychologyStrokeStroke Rehabilitation

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Rehabilitation Medicine

Background:

  • General cognitive ability (g) is a validated predictor of life outcomes in healthy individuals.
  • The predictive value of g for functional outcomes following stroke remains largely unexplored.

Purpose of the Study:

  • To investigate whether general cognitive ability (g) can predict functional outcomes 12 months after stroke.
  • To compare the predictive utility of g against individual neuropsychological tests.

Main Methods:

  • Exploratory structural equation modeling was used to derive g from 15 neuropsychological tests in 112 stroke patients.
  • Logistic regressions analyzed the prediction of the Functional Assessment Measure (FAM) and Functional Independence Measure (FIM) by g and individual tests.

Main Results:

  • General cognitive ability (g) significantly predicted the FAM and the cognitive subscale of the FIM.
  • Visuospatial ability measures emerged as the most robust individual predictors of functional outcomes.

Conclusions:

  • Cognitive assessments, including g, administered acutely can forecast functional independence one year post-stroke.
  • Both g and specific visuospatial tests are critical for predicting stroke recovery.