Parsing heterogeneity in attention-deficit hyperactivity disorder using EEG-based subgroups.

ABSTRACT:

Background

Attention-deficit/hyperactivity disorder (ADHD) is a heterogeneous condition for which multiple efforts to characterize brain state differences are underway. The objective of this study was to identify distinct subgroups of resting electroencephalography (EEG) profiles among children with and without ADHD and subsequently provide extensive clinical characterization of the subgroups.

Methods

Latent class analysis was used with resting state EEG recorded from a large sample of 781 children with and without ADHD (N = 620 ADHD, N = 161 Control), aged 6-18 years old. Behavioral and cognitive characteristics of the latent classes were derived from semistructured diagnostic interviews, parent completed behavior rating scales, and cognitive test performance.

Results

SUBMITTER: Loo SK 

PROVIDER: S-EPMC5812789 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature