fMRI-EEG Fingerprint Regression Model for Motor Cortex

fMRI-EEG Fingerprint Regression Model for Motor Cortex

The combination of modern machine learning and traditional statistical methods allows the construction of individual regression models for predicting the blood oxygenation level dependent (BOLD) signal of a selected region-of-interest within the brain using EEG signal. Among the many different model...

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Bibliographic Details
Main Authors: Melnikov, M. (Author), Rudnev, V. (Author), Savelov, A. (Author), Shtark, M. (Author), Sokhadze, E. (Author)
Format: Article
Language:English
Published: International Society for Neurofeedback and Research 2021
Subjects:
adult
amygdala
Article
assessment of humans
blood oxygenation
BOLD signal
brain hemorrhage
clinical article
comparative study
controlled study
digital imaging and communications in medicine
echo planar imaging
EEG
electroencephalogram
female
FMRI BOLD
functional connectivity
functional magnetic resonance imaging
human
image reconstruction
male
medical research council weakness scale
Motor cortex
motor dysfunction
muscle strength
paresis
regression analysis
Regression model
sensorimotor cortex
Stroke
young adult
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