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Table 6 EEG Features Predicting Diagnostic Group Based on Incorrect Trials

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

Location

WM Stage

Frequency

Feature Weight

Frontal

Retrieve

alpha

−0.541

Central

Encode

gamma

−0.027

  1. Features extracted by 1-norm SVM to classify HN vs. SZ status in incorrect 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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