Assessing Brain Function During Stroke Recovery Using Multimodal EEG-fNIRS Concurrent Analysis



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Stroke is a major cause of death in the US, caused when there is a disruption of blood within the brain or a complete brain bleed. Electroencephalography (EEG) and functional near infrared spectroscopy (fNIRS) are just a couple of the neuroimaging technologies used to determine brain function after a stroke occurs. This study investigates the use of concurrent EEG and fNIRS recording and integrative analysis to assess cortical reorganization in patients recovering from stroke. This proposed multimodal approach combines the high temporal resolution of EEG imaging with the high spatial resolution of fNIRS, we can estimate any cortical reorganization in stroke patients. Due to the low signal-noise ratio of fNIRS and vulnerability of EEG to motion artifacts, we introduce noise and artifact reduction techniques to optimize preprocessing of the data before final analysis. The ideal outcome of this research is to eventually use this data to customize rehabilitation protocols for stroke patients.