Preprocessed EEG features across first-episode psychosis and control groups [update]

[Updated version] - Entropy, statistical and frequency features extracted out of preprocessed EEG data, consisting of 62 control subjects and 81 first-episode psychosis subjects. This dataset is part of a project to replicate previous work by Gengeç Benli (2023) on EEG feature extraction and first-episode psychosis classification through machine learning models. Updates: 1) The previous dataset only used subjects from one original raw dataset for preprocessing and feature extration (32 control, 50 fep), but this new version now includes subjects from a second raw set as well (30 control, 31 fep). Since each raw set had 12 non-matching EEG channels, this new version only computes features for the 48 channels shared between both sets, instead of the full 60 channels from the previous version. 2) The code for extracting entropy features has been revised and corrected. The full raw datasets can be found at: Set 1: https://openneuro.org/datasets/ds003944/versions/1.0.1 [Accessed on 23/06/2026] Set 2: https://openneuro.org/datasets/ds003947/versions/1.0.1 [Accessed on 23/06/2026]