Brainwide hemodynamics predict EEG neural rhythms across sleep and wakefulness in humans.

ABSTRACT: The brain exhibits rich oscillatory dynamics that play critical roles in vigilance and cognition, such as the neural rhythms that define sleep. These rhythms continuously fluctuate, signaling major changes in vigilance, but the widespread brain dynamics underlying these oscillations are difficult to investigate. Using simultaneous EEG and fast fMRI in humans who fell asleep inside the scanner, we developed a machine learning approach to investigate which fMRI regions and networks predict fluctuations in neural rhythms. We demonstrated that the rise and fall of alpha (8-12 Hz) and delta (1-4 Hz) power- two canonical EEG bands critically involved with cognition and vigilance-can be predicted from fMRI data in subjects that were not present in the training set. This approach also identified p

SUBMITTER: Jacob LPL 

PROVIDER: S-EPMC10862763 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature