Predicting task performance from biomarkers of mental fatigue in global brain activity.

ABSTRACT: Objective.Detection and early prediction of mental fatigue (i.e. shifts in vigilance), could be used to adapt neuromodulation strategies to effectively treat patients suffering from brain injury and other indications with prominent chronic mental fatigue.Approach.In this study, we analyzed electrocorticography (ECoG) signals chronically recorded from two healthy non-human primates (NHP) as they performed a sustained attention task over extended periods of time. We employed a set of spectrotemporal and connectivity biomarkers of the ECoG signals to identify periods of mental fatigue and a gradient boosting classifier to predict performance, up to several seconds prior to the behavioral response.Main results.Wavelet entropy and the instantaneous amplitude and frequency were among the best si

SUBMITTER: Yao L 

PROVIDER: S-EPMC8122624 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature