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Personalized, parcel‐guided rTMS for the treatment of major depressive disorder: Safety and proof of concept
- Source :
- Brain and Behavior, Vol 13, Iss 11, Pp n/a-n/a (2023)
- Publication Year :
- 2023
- Publisher :
- Wiley, 2023.
-
Abstract
- Abstract Background Not all patients with major depressive disorder (MDD) benefit from the US Food and Drug Administration‐approved use of repetitive transcranial magnetic stimulation (rTMS) at the dorsolateral prefrontal cortex. We may be undertreating depression with this one‐size‐fits‐all rTMS strategy. Methods We present a retrospective review of targeted and connectome‐guided rTMS in 26 patients from Cingulum Health from 2020 to 2023 with MDD or MDD with associated symptoms. rTMS was conducted by identifying multiple cortical targets based on anomalies in individual functional connectivity networks as determined by machine learning connectomic software. Quality of life assessed by the EuroQol (EQ‐5D) score and depression symptoms assessed by the Beck Depression Inventory (BDI) were administered prior to treatment, directly after, and at a follow‐up consultation. Results Of the 26 patients treated with rTMS, 16 (62%) attained remission after treatment. Of the 19 patients who completed follow‐up assessments after an average interval of 2.6 months, 11 (58%) responded to treatment and 13 (68%) showed significant remission. Between patients classified with or without treatment‐resistant depression, there was no difference in BDI improvement. Additionally, there was significant improvement in quality of life after treatment and during follow‐up compared to baseline. Limitations This review is retrospective in nature, so there is no control group to assess the placebo effect on patient outcomes. Conclusion The personalized, connectome‐guided approach of rTMS is safe and may be effective for depression. This personalized rTMS treatment allows for co‐treatment of multiple disorders, such as the comorbidity of depression and anxiety.
Details
- Language :
- English
- ISSN :
- 21623279
- Volume :
- 13
- Issue :
- 11
- Database :
- Directory of Open Access Journals
- Journal :
- Brain and Behavior
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.b47f22ab2d4ad0b60a514f013c3e3b
- Document Type :
- article
- Full Text :
- https://doi.org/10.1002/brb3.3268