Exploring brain lobe-specific insights in an explainable framework for EEG-based schizophrenia detection.

PLoS One · 2026 · PMC13004532 · PMID 41861029

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One-way analysis of variance (ANOVA) revealed highly significant differences in classification performance among brain regions for both datasets (RepOD: F = 38.48, p < 0.0 .001 ; Kaggle: F = 236.83, p < 0.0 .001 ), providing strong evidence that regional selection significantly impacts ScZ detection accuracy.

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