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Fig. 3 | Neuropsychiatric Electrophysiology

Fig. 3

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

Fig. 3

Scatterplot of MCCB Working Memory (WM) Composite score (standardized; t-score) as predicted by SVM Model 1 across the full study sample (N = 52). Multiple regression explained 42 % of the variance in MCCB WM score based on frontal gamma activity during encoding and central theta 1 activity during retention, with only data from correct trials entered entering the model for each feature. SVM Model 1 score (x-axis) represents the residual difference between predicted (trend line) and observed value for MCCB WM score

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