fMRI-EEG Fingerprint Regression Model for Motor Cortex

نویسندگان

چکیده

The combination of modern machine learning and traditional statistical methods allows the construction individual regression models for predicting blood oxygenation level dependent (BOLD) signal a selected region-of-interest within brain using EEG signal. Among many different motor cortex, we chose Fingerprint one-electrode approach, based on rigid model with Stockwell transformation, used before only amygdala. In this study demonstrate way finding suitable parameters cases BOLD reconstruction five individuals: three them were healthy, two after hemorrhagic stroke varying degrees damage according to Medical Research Council (MRC) Weakness Scale. principal possibility restoring regressor was demonstrated all considered above. results direct indirect comparisons at region healthy participants patients who suffered from are presented.

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ژورنال

عنوان ژورنال: NeuroRegulation

سال: 2021

ISSN: ['2373-0587']

DOI: https://doi.org/10.15540/nr.8.3.162