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Ischemic stroke is an acute cerebrovascular condition in which blood flow to a brain region is suddenly interrupted, leading to tissue infarction. Neurons depend on continuous oxygen and glucose supply, so even brief reductions in perfusion cause energy failure, ionic imbalance, and irreversible injury. Ischemic strokes are classified into thrombotic and embolic types based on their underlying mechanisms.Thrombotic MechanismsThrombotic stroke develops when a clot forms within a cerebral artery.
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Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients
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Comprehensive cognitive neurological assessment in stroke.

M Hoffmann1, F Schmitt, E Bromley

  • 1Division of Cognitive Vascular Neurology, University of South Florida, Tampa, FL 33612, USA. mhoffman@hsc.usf.edu

Acta Neurologica Scandinavica
|December 5, 2008
PubMed
Summary
This summary is machine-generated.

The Coconuts test accurately identifies cognitive syndromes in stroke patients. This bedside assessment aids in monitoring and managing neurological and neuropsychiatric conditions post-stroke.

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Area of Science:

  • Neuroscience
  • Neurology
  • Cognitive Science

Background:

  • Cognitive syndromes (CS) following stroke require effective measurement for patient management and therapeutic development.
  • Assessing CS is crucial for understanding the impact of stroke on cognitive function.

Purpose of the Study:

  • To integrate established behavioral, neurological, and neuropsychiatric syndromes into a bedside cognitive assessment for stroke patients.
  • Develop a practical tool for early detection and characterization of cognitive impairments after stroke.

Main Methods:

  • The Comprehensive Cognitive Neurological Test in Stroke (Coconuts) was administered within one month of stroke onset.
  • The Coconuts test was analyzed based on five large-scale cognitive networks and correlated with neuropsychological tests.
  • Validity was assessed for sensitivity, specificity, predictive values, discriminant validity, construct validity, and inter-rater reliability against MRI stroke diagnosis.

Main Results:

  • The Coconuts scale demonstrated high sensitivity (91%) and moderate specificity (35%) for detecting stroke lesions compared to MRI.
  • Significant frequencies of cognitive syndromes were observed across different brain networks, with frontal network syndromes being most prevalent (51%).
  • The test identified various syndromes including those related to left/right hemisphere networks, visual processing, and limbic system functions.

Conclusions:

  • The Coconuts test is a validated and practical tool for assessing a wide range of neurological and neuropsychiatric syndromes in stroke survivors.
  • This bedside assessment facilitates comprehensive evaluation and monitoring of cognitive health in post-stroke patients.