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Updated: Mar 4, 2026

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MRI-guided dmPFC-rTMS as a Treatment for Treatment-resistant Major Depressive Disorder
Published on: August 11, 2015
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Imaging TMS: antidepressant mechanisms and treatment optimization
1a Weill Cornell Medical College , New York , NY , USA.
Summary
Transcranial Magnetic Stimulation (TMS) shows antidepressant effects by normalizing brain networks. This review explores neuroimaging biomarkers to predict TMS response and personalize treatment for depression.
Area of Science:
- Neuroscience
- Psychiatry
- Medical Imaging
Background:
- The antidepressant efficacy of Transcranial Magnetic Stimulation (TMS) is well-established.
- There is increasing interest in understanding the mechanisms underlying TMS's effectiveness.
- Dysfunctional brain networks and neurotransmitter systems are implicated in depression.
Purpose of the Study:
- To review the effects of TMS on brain networks and neurotransmitter systems relevant to depression.
- To suggest candidate neuroimaging biomarkers for predicting response to TMS.
- To discuss how personalized treatment strategies can optimize TMS efficacy.
Main Methods:
- Review of existing literature on TMS, neuroimaging, and depression.
- Identification and discussion of potential neuroimaging biomarkers.
- Analysis of TMS effects on functional connectivity and neurotransmitter systems.
Main Results:
- TMS engages and can normalize dysfunctional brain networks in depression.
- Neuroimaging biomarkers may predict individual response to TMS.
- Understanding network engagement aids in treatment personalization.
Conclusions:
- TMS offers a viable antidepressant treatment by modulating brain networks.
- Neuroimaging biomarkers hold promise for predicting TMS treatment outcomes.
- Personalized approaches to TMS therapy can enhance treatment efficacy for depression.
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