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Related Experiment Video

Updated: Jun 15, 2026

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients
07:42

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients

Published on: December 16, 2022

Predicting cognitive dysfunctioning in nondemented patients early after stroke.

Assia Jaillard1, Sylvie Grand, Jean François Le Bas

  • 1Unité d'Imagerie par Résonance Magnétique, Institut Fédératif de Recherche 1, CHU Grenoble, Grenoble, France. Assia.Jaillard@ujf-grenoble.fr

Cerebrovascular Diseases (Basel, Switzerland)
|March 6, 2010
PubMed
Summary
This summary is machine-generated.

Cognitive dysfunctioning after stroke is linked to factors like age, education, and stroke characteristics. These findings help predict cognitive issues early in stroke patients without dementia.

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Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke
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Last Updated: Jun 15, 2026

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients
07:42

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients

Published on: December 16, 2022

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke
09:10

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke

Published on: February 22, 2020

Area of Science:

  • Neurology
  • Neuropsychology
  • Medical Imaging

Background:

  • Cognitive dysfunctioning (CDF) significantly impacts stroke recovery and social functioning.
  • This study focuses on identifying clinical and imaging factors associated with CDF in patients experiencing their first subacute ischemic stroke without pre-existing dementia.

Purpose of the Study:

  • To investigate the clinical and imaging correlates of cognitive dysfunctioning (CDF) in patients with first-ever subacute ischemic stroke.
  • To identify predictors of CDF to aid in early bedside assessment and management.

Main Methods:

  • A prospective cohort of 177 non-demented patients with a Mini Mental State Examination score >=23 were evaluated 15 days post-stroke.
  • Cognitive function was assessed using a comprehensive neuropsychological battery, with CDF categorized based on Z scores adjusted for age and education.
  • Stroke features were analyzed using MRI, and ordinal regression identified clinical correlates of CDF.

Main Results:

  • CDF was associated with age, lower education, depression, neurological deficit, stroke subtype, and arterial territory, but not stroke volume or location.
  • Predictors of CDF included NIHSS score at day 15, middle cerebral artery infarct, depression interacting with left stroke side, and female gender with high education.

Conclusions:

  • Specific stroke features correlate with cognitive dysfunctioning in non-demented patients.
  • Simple clinical criteria can help predict CDF in the subacute phase post-stroke, guiding the need for neuropsychological evaluation.
  • Modeling CDF using early neurological criteria may assist in designing future clinical trials.