Spatiotemporal dynamics of human high gamma discriminate naturalistic behavioral states.

ABSTRACT: In analyzing the neural correlates of naturalistic and unstructured behaviors, features of neural activity that are ignored in a trial-based experimental paradigm can be more fully studied and investigated. Here, we analyze neural activity from two patients using electrocorticography (ECoG) and stereo-electroencephalography (sEEG) recordings, and reveal that multiple neural signal characteristics exist that discriminate between unstructured and naturalistic behavioral states such as "engaging in dialogue" and "using electronics". Using the high gamma amplitude as an estimate of neuronal firing rate, we demonstrate that behavioral states in a naturalistic setting are discriminable based on long-term mean shifts, variance shifts, and differences in the specific neural activity's covariance s

SUBMITTER: Alasfour A 

PROVIDER: S-EPMC9387937 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature