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Multi-Frequency EEG Connectomics Uncovers Insula-Network Subtypes in Somatic Symptom Disorder
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DOI：10.1016/j.biopsych.2026.07.017.png)
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Abstract
En 中文
Somatic symptom disorder (SSD) exhibits substantial clinical heterogeneity that limits treatment efficacy, with over 40% of patients failing to respond to standard interventions. Here, we developed a framework that integrates multi-frequency electroencephalography (EEG) connectomics with contrastive learning to identify distinct subtypes of SSD.
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