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Updated: Oct 23, 2025

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Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke
Published on: February 22, 2020
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Corticospinal Tract Microstructure Correlates With Beta Oscillatory Activity in the Primary Motor Cortex After Stroke
Robert Schulz1, Marlene Bönstrup1,2, Stephanie Guder1
1Department of Neurology, University Medical Centre Hamburg-Eppendorf, Germany (R.S., M.B., S.G., B.F., F.Q., L.A.K., B.C., G.T., C.G.).
Stroke
|August 20, 2021
Summary
This study links brain
Area of Science:
- Neuroscience
- Motor System Function
- Stroke Recovery Research
Background:
- Cortical beta oscillations are key indicators of motor system health.
- Stroke can alter these oscillations and impact motor function.
- The relationship between these brain function measures and structural changes post-stroke is not well understood.
Purpose of the Study:
- To investigate the association between brain function (beta oscillations) and brain structure (corticospinal tract integrity) in well-recovered stroke patients.
- To explore how microstructural changes in the corticospinal tract relate to EEG measures in motor areas.
Main Methods:
- Multimodal study of 18 well-recovered stroke patients using EEG and diffusion-weighted MRI.
- Assessed beta power at rest and movement-related beta desynchronization in primary motor cortex (M1), ventral premotor, and supplementary motor areas.
- Quantified microstructural integrity of corticospinal tracts (CST) using fractional anisotropy and related it to EEG measures.
Main Results:
- Stroke patients showed reduced ipsilesional CST fractional anisotropy compared to controls.
- A significant association was found between M1 beta power/desynchronization and fractional anisotropy of CST originating from M1.
- No similar structure-function relationships were observed for other motor areas or in controls.
Conclusions:
- Suggests a direct link between the microstructure of CST originating from M1 and beta oscillatory activity.
- These findings may help explain motor impairment in stroke patients.
- Highlights the potential of combining EEG and MRI for understanding stroke recovery.
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