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Updated: Feb 10, 2026

A Versatile Murine Model of Subcortical White Matter Stroke for the Study of Axonal Degeneration and White Matter Neurobiology
Published on: March 17, 2016
Relation of white matter hyperintensities and motor deficits in chronic stroke
Jarrod M Hicks1, Edward Taub1, Brent Womble1
1Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA.
Background:
Infarct size and location account for only a relatively small portion of post-stroke motor impairment, suggesting that other less obvious factors may be involved.
Objective:
Examine the relationship between white matter hyperintensity (WMH) load among other factors and upper extremity motor deficit in patients with mild to moderate chronic stroke.
Methods:
The magnetic resonance images of 28 patients were studied. WMH load was assessed as total WMH volume and WMH overlap with the corticospinal tract in the centrum semiovale. Hemiparetic arm function was measured using the Motor Activity Log (MAL) and Wolf Motor Function Test (WMFT).
Results:
Hierarchical multiple regression models found WMH volume predicted motor deficits in both real-world arm use (MAL;ΔR2 = 0.12, F(1, 22) = 4.73, p = 0.04) and in arm motor capacity as measured by a laboratory motor function test (WMFT;ΔR2 = 0.18, F(1, 22) = 6.32, p = 0.02) over and above age and lesion characteristics. However, these models accounted for less than half of the variance in post-stroke motor deficits.
Conclusion:
The results suggest that WMH may be an important factor to consider in stroke-related upper extremity motor impairment. Nonetheless, the basis of the largest part of the post-stroke motor deficit remains unaccounted for by structural CNS factors. This component may be behavioral or learned, involving learned nonuse.
Insights
White matter hyperintensity (WMH) volume significantly predicts upper extremity motor deficits after stroke. However, other factors, potentially behavioral, explain the majority of motor impairment.
Area of Science:
- Neuroscience
- Neurology
- Rehabilitation Medicine
Background:
- Stroke-related motor impairment is not solely explained by infarct size and location.
- Other contributing factors to motor deficits require investigation.
Purpose of the Study:
- To examine the relationship between white matter hyperintensity (WMH) load and upper extremity motor deficits in chronic stroke patients.
- To assess the predictive value of WMH volume and its overlap with the corticospinal tract on motor function.
Main Methods:
- Magnetic resonance imaging (MRI) was used to assess WMH load in 28 chronic stroke patients.
- WMH volume and overlap with the corticospinal tract were quantified.
- Upper extremity function was measured using the Motor Activity Log (MAL) and Wolf Motor Function Test (WMFT).
Main Results:
- WMH volume significantly predicted real-world arm use (MAL) and laboratory-measured arm capacity (WMFT), independent of age and lesion characteristics.
- WMH explained a portion of the variance in motor deficits (ΔR² = 0.12 for MAL, ΔR² = 0.18 for WMFT).
- These structural factors accounted for less than half of the total variance in post-stroke motor deficits.
Conclusions:
- White matter hyperintensities are a significant factor in stroke-related upper extremity motor impairment.
- The majority of post-stroke motor deficits remain unexplained by current structural neuroimaging factors.
- Behavioral or learned components, such as learned nonuse, may contribute significantly to persistent motor deficits.
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