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Updated: Jul 11, 2026
07:42
Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients
Published on: December 16, 2022
Progressive cognitive impairment after stroke
James F Toole1, Rafeeque Bhadelia, Jeff D Williamson
1Stroke Research Center, Wake Forest University School of Medicine, Winston-Salem, North Carolina 27157, USA. jtoole@wfubmc.edu
Summary
Stroke, particularly in the left hemisphere, significantly accelerates cognitive decline in older adults. However, this cognitive loss appears to lessen over time, possibly due to compensatory learning mechanisms.
Area of Science:
- Neurology
- Gerontology
- Cognitive Science
Background:
- Cognitive decline is a significant concern in aging populations.
- The impact of stroke on long-term cognitive function requires further investigation.
Purpose of the Study:
- To investigate the relationship between stroke and cognitive decline in an elderly cohort.
- To determine if stroke location (hemisphere, posterior circulation) influences cognitive decline rate.
Main Methods:
- Analysis of the Cardiovascular Health Study (CHS) cohort (n=5364, aged 65+).
- Longitudinal assessment of cognitive function using the modified mini-mental state (3MS) examination (1992-1998).
- Linear regression models used to assess the impact of baseline and subsequent strokes on 3MS scores, controlling for confounders.
Main Results:
- Participants with stroke experienced a greater annual decline in 3MS scores compared to those without stroke.
- Left hemisphere strokes were associated with a more substantial initial decline in cognitive function (6.2 points/year) than right hemisphere strokes (3.5 points/year).
- The rate of cognitive decline associated with stroke showed a trend toward amelioration after the first year.
Conclusions:
- Stroke significantly exacerbates cognitive decline in older adults.
- Left hemisphere strokes have a more pronounced negative impact on cognition compared to right hemisphere strokes.
- Cognitive deficits following stroke may diminish over time, suggesting potential for neuroplasticity and relearning.
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