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Brain Response and 6-Month Responsiveness Exploration in Brain Infarction Case: Preliminary Study
Sari Rahmawati Kusuma Dewi1, Yu-Chuan Jack Li1, Ming-Ching Lin1,2
1Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, New Taipei City, Taiwan.
Studies in Health Technology and Informatics
|August 8, 2025
Summary
Task-based electroencephalography (EEG) detects brain response in brain infarction patients. This technology identified brain activity even in unresponsive patients, offering new insights for prognosis and rehabilitation.
Area of Science:
- Neuroscience
- Medical Technology
Background:
- Brain infarction diagnosis and prognosis can be challenging due to insufficient evidence of brain response.
- Task-based electroencephalography (EEG) is a potential tool for assessing brain activity.
Purpose of the Study:
- To explore brain response using task-based EEG in brain infarction patients.
- To evaluate the 6-month responsiveness in relation to EEG findings.
Main Methods:
- Descriptive and comparative analysis of task-based EEG data.
- Machine learning application for identifying brain response patterns.
Main Results:
- Brain response was detected in 58.59% of clinically responsive patients.
- Brain response was also detected in 6.25% of clinically unresponsive patients.
Conclusions:
- Task-based EEG can identify brain activation in brain infarction patients, even when clinical responsiveness is absent.
- EEG-based machine learning shows utility in assessing brain injury prognosis and guiding rehabilitation strategies.
