A Habenula Neural Biomarker Simultaneously Tracks Weekly and Daily Symptom Variations During Deep Brain Stimulation Therapy for Depression

作者：Shi Liu, Yu Qi, Shaohua Hu, Ning Wei, Jianmin Zhang, Junming Zhu, Hemmings Wu, Hailan Hu, Yuxiao Yang, Yueming Wang · 发表于：IEEE Journal of Biomedical and Health Informatics · 年份：2025 · DOI：10.1109/jbhi.2025.3566057 · 被引用次数：2 · 研究领域：Neurological disorders and treatments、Transcranial Magnetic Stimulation Studies、Digital Mental Health Interventions

OBJECTIVE: Deep brain stimulation (DBS) targeting the lateral habenula (LHb) is a promising therapy for treatment-resistant depression (TRD) but its clinical effect has been variable, which can be improved by adaptive DBS (aDBS) guided by a neural biomarker of depression symptoms. Existing neural biomarkers, however, cannot simultaneously track slow and fast symptom dynamics, do not sufficiently respond to stimulation parameters, and lack neurobiological interpretability, which hinder their use in developing aDBS. METHODS: We conducted a study on one TRD patient who achieved remission following a 41-week LHb DBS treatment, during which we assessed slow symptom variations using weekly clinical ratings and fast variations using daily self-reports. We recorded daily LHb local field potentials (LFP) concurrently with the reports during the entire treatment process. We then used machine learning methods to identify a personalized depression neural biomarker from spectral and temporal LFP features. RESULTS: The neural biomarker was identified from classification of high and low depression symptom states with a cross-validated accuracy of 0.97. It further simultaneously tracked both weekly (slow) and daily (fast) depression symptom variation dynamics, achieving test data explained variance of 0.74 and 0.63 respectively and responded to DBS frequency alterations. Finally, it can be neurobiologically interpreted as indicating LHb excitatory and inhibitory balance changes during DBS tr...