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Table 2 EEG Features Predicting Trial Accuracy in HC

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

Location

WM stage

Frequency

Feature Weight

Frontal

Encode

gamma

−1.500

Occipital

Retrieve

theta 2

−0.861

Central

Retain

theta 1

−0.097

Central

Retrieve

gamma

−0.096

Occipital

Baseline

theta 1

−0.035

  1. Features extracted by 1-norm SVM to classify correct vs. incorrect trials in HN. Model based on simultaneous entry of 60 EEG features with correct trials labeled 1 and incorrect labeled −1. All other features weighted at 0