Amirul Azri, Noorazrul Yahya, Umi Nabilah Ismail, Muhammad Aminuddin Ashari, Hanani Abdul Manan
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引用次数: 0
Abstract
Background: Stroke remains a leading cause of disability, making it critical to understand the underlying neurophysiological mechanisms for effective rehabilitation. Task-based functional Magnetic Resonance Imaging (fMRI) provides valuable insights into brain activation patterns; however, its correlation with clinical evaluations is not yet fully understood. This systematic review aims to explore the relationship between task-based fMRI findings and clinical assessments in stroke patients, comparing them to healthy controls.
Methods: Using the PubMed database and adhering to PRISMA guidelines, we identified and analyzed 11 eligible studies. Total participant is 323 participant with 258 of them is stroke patients and 65 is HC.
Results: Results reveal significant differences in brain activation patterns between stroke patients and healthy controls, with stroke patients displaying compensatory hyperactivation in certain brain regions such as cerebellum, inferior parietal cortex, and contralesional area. Additionally, longitudinal comparisons among stroke patients show notable improvements in activation patterns from baseline to the subacute and chronic stages following rehabilitation. These changes align with enhanced clinical outcomes, suggesting that fMRI may serve as a sensitive biomarker for recovery progress. Importantly, correlations between fMRI results and clinical scores highlight the potential of task-based fMRI to inform and refine rehabilitation strategies.
Conclusion: This review underscores the value of integrating fMRI findings into clinical practice to better understand stroke recovery mechanisms. Further research is needed to deepen our understanding of these associations and optimize patient outcomes in stroke rehabilitation.
期刊介绍:
The section Stroke aims to quickly and accurately publish important experimental, translational and clinical studies, and reviews that contribute to the knowledge of stroke, its causes, manifestations, diagnosis, and management.