Longitudinal stability and change in time-frequency measures from an oddball task during adolescence and early adulthood.

ABSTRACT: Time-frequency representations of electroencephalographic signals lend themselves to a granular analysis of cognitive and psychological processes. Characterizing developmental trajectories of time-frequency measures can thus inform us about the development of the processes involved as well as correlated traits and behaviors. We decomposed electroencephalographic (EEG) activity in a large sample of individuals (N = 1692; 917 females), assessed at approximately 3-year intervals from the age of 11 to their mid-20s. Participants completed an oddball task that elicits a robust P3 response. Principal component analysis served to identify the primary dimensions of time-frequency energy. Component loadings were virtually identical across assessment waves. A common and stable set of time-frequency

SUBMITTER: Malone SM 

PROVIDER: S-EPMC9868093 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature