Predicting Responses to Electroconvulsive Therapy in Adolescents with Treatment-Refractory Depression Based on Resting-State fMRI

作者全名："Li, Xiao; Guo, Jiamei; Chen, Xiaolu; Yu, Renqiang; Chen, Wanjun; Zheng, Anhai; Yu, Yanjie; Zhou, Dongdong; Dai, Linqi; Kuang, Li"

作者地址："[Li, Xiao; Guo, Jiamei; Chen, Wanjun; Zheng, Anhai; Yu, Yanjie; Dai, Linqi; Kuang, Li] Chongqing Med Univ, Affiliated Hosp 1, Dept Psychiat, Chongqing 400016, Peoples R China; [Chen, Xiaolu] Chongqing Med Univ, Affiliated Hosp 1, Branch 1, Chongqing 400015, Peoples R China; [Yu, Renqiang] Chongqing Med Univ, Affiliated Hosp 1, Dept Radiol, Chongqing 400016, Peoples R China; [Zhou, Dongdong] Chongqing Med Univ, Univ Town Hosp, Mental Hlth Ctr, Chongqing 401331, Peoples R China"

通信作者："Kuang, L (通讯作者)，Chongqing Med Univ, Affiliated Hosp 1, Dept Psychiat, Chongqing 400016, Peoples R China."

来源：JOURNAL OF CLINICAL MEDICINE

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:000996928200001

JCR分区：Q1

影响因子：3

年份：2023

卷号：12

期号：10

开始页：　

结束页：　

文献类型：Article

关键词：depression; functional connectivity; ALFF; prediction; machine learning

摘要："Objects: The efficacy of electroconvulsive therapy (ECT) in the treatment of adolescents with treatment-refractory depression is still unsatisfactory, and the individual differences are large. It is not clear which factors are related to the treatment effect. Resting-state fMRI may be a good tool to predict the clinical efficacy of this treatment, and it is helpful to identify the most suitable population for this treatment. Methods: Forty treatment-refractory depression adolescents were treated by ECT and evaluated using HAMD and BSSI scores before and after treatment, and were then divided into a treatment response group and a non-treatment group according to the reduction rate of the HAMD scale. We extracted the ALFF, fALFF, ReHo, and functional connectivity of patients as predicted features after a two-sample t-test and LASSO to establish and evaluate a prediction model of ECT in adolescents with treatment-refractory depression. Results: Twenty-seven patients achieved a clinical response; symptoms of depression and suicidal ideation were significantly improved after treatment with ECT, which was reflected in a significant decrease in the scores of HAMD and BSSI (p < 0.001). The efficacy was predicted by ALFF, fALFF, ReHo, and whole-brain-based functional connectivity. We found that models built on a subset of features of ALFF in the left insula, fALFF in the left superior parietal gyrus, right superior parietal gyrus, and right angular, and functional connectivity between the left superior frontal gyrus, dorsolateral-right paracentral lobule, right middle frontal gyrus, orbital part-left cuneus, right olfactory cortex-left hippocampus, left insula-left thalamus, and left anterior cingulate gyrus-right hippocampus to have the best predictive performance (AUC > 0.8). Conclusions: The local brain function in the insula, superior parietal gyrus, and angular gyrus as well as characteristic changes in the functional connectivity of cortical-limbic circuits may serve as potential markers for efficacy judgment of ECT and help to provide optimized individual treatment strategies for adolescents with depression and suicidal ideation in the early stages of treatment."

基金机构：National Natural Science Foundation of China [81971286]

基金资助正文：This work was supported by the National Natural Science Foundation of China (No. 81971286).