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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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Biomarkers for prognostic functional recovery poststroke: A narrative review
Jack Jiaqi Zhang1, Dalinda Isabel Sánchez Vidaña1, Jackie Ngai-Man Chan1
1Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Frontiers in Cell and Developmental Biology
|January 26, 2023
Summary
Predicting stroke recovery involves identifying prognostic biomarkers. This review highlights neurophysiological, neuroimaging, and molecular markers, but a multimodal approach is needed for precise patient recovery prediction.
Area of Science:
- Neuroscience
- Biomarker Discovery
- Stroke Rehabilitation
Background:
- Post-stroke recovery prediction relies on biomarkers reflecting stroke pathophysiology and brain reserve.
- Identifying reliable prognostic biomarkers is crucial for tailoring rehabilitation strategies.
Purpose of the Study:
- To review potential biomarkers for predicting functional recovery after stroke.
- To summarize current evidence on neurophysiological, neuroimaging, and molecular markers.
Main Methods:
- A narrative review was conducted.
- Evidence on biomarkers for stroke recovery prediction was qualitatively summarized.
Main Results:
- Neurophysiological measures (EEG, TMS, MEPs) and neuroimaging (MRI) show prognostic value.
- Molecular, genetic, and epigenetic markers are associated with outcomes, but require further validation.
- Interhemispheric EEG asymmetry and CST damage predict recovery potential.
Conclusions:
- Potential biomarkers for post-stroke recovery prediction have been identified.
- A multimodal biomarker approach is understudied but promising for precise prediction.
- Future research should focus on combining biomarkers and utilizing big data analytics.
Keywords:
blood biomarkersfunctional recoverymolecular biomarkersmultimodal biomarkersneuroimagingneurophysiologystroke
