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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DECLARATION This work has not previously been accepted in substance for any degree and is not concurrently submitted in candidature for any degree. Signed …………………………………………. (Candidate) Date…………… STATEMENT 1 This thesis is being submitted in partial fulfilment of the requirements for the degree of MPhil Signed ………………………………………… (Candidate) Date …………… STATEMENT 2 This thesis is the result of my ow...
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ژورنال
عنوان ژورنال: NeuroRegulation
سال: 2021
ISSN: ['2373-0587']
DOI: https://doi.org/10.15540/nr.8.3.162