EEG microstate features according to performance on a mental arithmetic task.

ABSTRACT: In this study, we hypothesized that task performance could be evaluated applying EEG microstate to mental arithmetic task. This pilot study also aimed at evaluating the efficacy of microstates as novel features to discriminate task performance. Thirty-six subjects were divided into good and poor performers, depending on how well they performed the task. Microstate features were derived from EEG recordings during resting and task states. In the good performers, there was a decrease in type C and an increase in type D features during the task compared to the resting state. Mean duration and occurrence decreased and increased, respectively. In the poor performers, occurrence of type D feature, mean duration and occurrence showed greater changes. We investigated whether microstate features wer

SUBMITTER: Kim K 

PROVIDER: S-EPMC7801706 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature