Prediction of antipsychotic drug efficacy for schizophrenia treatment based on neural features of the resting-state functional connectome

作者：Song Liu, Meng Wang, Wei Han, Anran Chen, Xuzhen Liu, Kang Liu, Xue Li, Yi Chen, Luwen Zhang, Qing Liu, Xiaoge Guo, Xiujuan Wang, Ning Kang, Yong Han, Yuanbo Li, Xi Su, Luxian Lv, Bing Liu, Wenqiang Li, Yongfeng Yang · 发表于：Translational Psychiatry · 年份：2025 · DOI：10.1038/s41398-025-03355-x · 被引用次数：4 · 研究领域：Functional Brain Connectivity Studies、Neural dynamics and brain function、Mental Health Research Topics

Neuroimaging studies have identified a large number of biomarkers associated with schizophrenia (SZ), but there is still a lack of biomarkers that can predict the efficacy of antipsychotic medication in SZ patients. The aim of this study was to identify neuroimaging biomarkers of antipsychotic drug response among features of the resting-state connectome. Resting-state functional magnetic resonance scans were acquired from a discovery cohort of 105 patients with SZ at baseline and after 8 weeks of antipsychotic medication treatment. Baseline clinical status and post-treatment outcome were assessed using the Positive and Negative Symptom Scale (PANSS), and clinical improvement was rated by the total score reduction. Based on acquired imaging data, a resting-state functional connectivity matrix was constructed for each patient, and a connectome-based predictive model was subsequently established and trained to predict individual PANSS total score reduction. Model performance was assessed by calculating Pearson correlation coefficients between predicted and true score reduction with leave-one-out cross-validation. Finally, the generalizability of the model was tested using an independent validation cohort of 52 SZ patients. The model incorporating resting-state connectome characteristics predicted individual treatment outcomes in both the discovery cohort (prediction vs. truth r = 0.59, mean squared error (MSE) = 0.021) and validation cohort (r = 0.41, MSE = 0.036). The model ide...