Functional Magnetic Resonance Imaging (fMRI) as a Predictive Tool for Rehabilitation Outcomes in Stroke Patients
DOI:
https://doi.org/10.61919/jhrr.v3i1.34Keywords:
Stroke Rehabilitation, Functional Magnetic Resonance Imaging, Predictive Modelling, Brain Activation, NIHSSAbstract
BACKGROUND: Functional magnetic resonance imaging (fMRI) is a non-invasive technique providing valuable insights into brain activity. Its application in stroke rehabilitation is emerging as a potential tool for predicting recovery outcomes.
OBJECTIVE: This study aimed to explore the predictive capacity of baseline fMRI brain activation patterns on rehabilitation outcomes in stroke patients.
METHODS: With 150 stroke patients, we conducted a prospective cohort research to examine the correlation between baseline fMRI results and 6-month rehabilitation outcomes. The modified Rankin Scale (mRS) and the National Institutes of Health Stroke Scale (NIHSS) were used as outcome indicators.
RESULTS: Our findings revealed that the degree of brain activation within motor-related regions at baseline significantly correlated with functional improvement after six months. Both NIHSS score (R^2 = 0.45, p<0.001) and mRS score (R^2 = 0.38, p<0.001) were strongly associated with baseline fMRI data.
CONCLUSION: Our results suggest that baseline fMRI brain activation patterns can predict rehabilitation outcomes in stroke patients, providing a promising direction for individualizing stroke rehabilitation strategies.
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