期刊
AMERICAN JOURNAL OF PSYCHIATRY
卷 179, 期 7, 页码 500-508出版社
AMER PSYCHIATRIC PUBLISHING, INC
DOI: 10.1176/appi.ajp.21050541
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资金
- Brain Canada
- Michael Smith Foundation for Health Research
- Vancouver Coastal Health Research Institute
The study investigated the predictive value of functional connectivity changes induced by acute repetitive transcranial magnetic stimulation (rTMS) for clinical response in treatment-resistant depression. The findings suggest that these connectivity changes may serve as predictors of treatment response and can inform prospective clinical trials.
Objective: The study objective was to investigate the pre-dictive value of functional connectivity changes induced by acute repetitive transcranial magnetic stimulation (rTMS) for clinical response in treatment-resistant depression. Methods: Cross-sectional changes in functional connectivity induced by a single concurrent rTMS-fMRI session were assessed in 38 outpatients with treatment-resistant de-pression (26 of them female; mean age, 41.87 years) who subsequently underwent a 4-week course of rTMS. rTMS was delivered at 1 Hz over the right dorsolateral prefrontal cortex. Acute rTMS-induced functional connectivity changes were computed and subjected to connectome-based predictive modeling to test their association with changes in score on the Montgomery-Asberg Depression Rating Scale (MADRS) after rTMS treatment. Results: TMS-fMRI induced widespread, acute, and transient alterations in functional connectivity. The rTMS-induced connectivity changes predicted about 30% of the variance of improvement in the MADRS score. The most robust pre-dictive associations involved connections between pre-frontal regions and motor, parietal, and insular cortices and between bilateral regions of the thalamus. Conclusions: Acute rTMS-induced connectivity changes in patients with treatment-resistant depression may index macro-level neuroplasticity, relevant to interindividual vari-ability in rTMS treatment response. Large-scale network phenomena occurring during rTMS might be used to inform prospective clinical trials.
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