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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
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Neuropsychiatric Electrophysiology

ISSN: 2055-4788

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