Skip to main content

Table 5 EEG Features Predicting Diagnostic Group Based on Correct Trials

From: Machine learning identification of EEG features predicting working memory performance in schizophrenia and healthy adults

Feature Name WM stage Frequency Feature Weight
Frontal Baseline theta 1 0.529
Central Baseline theta 2 0.302
Central Retrieve gamma 0.254
Frontal Encode gamma 0.108
Frontal Baseline theta 2 0.037
  1. Features extracted by 1-norm SVM to classify HN vs. SZ status in correct trial data. SZ is labeled 1 and HN labeled −1. All other features weighted at 0