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Precision non-implantable neuromodulation therapies: a perspective for the depressed brain

Abstract:
Current first-line treatments for major depressive disorder (MDD) include pharmacotherapy and cognitive-behavioral therapy. However, one-third of depressed patients do not achieve remission after multiple medication trials, and psychotherapy can be costly and time-consuming. Although non-implantable neuromodulation (NIN) techniques such as transcranial magnetic stimulation, transcranial direct current stimulation, electroconvulsive therapy, and magnetic seizure therapy are gaining momentum for treating MDD, the efficacy of non-convulsive techniques is still modest, whereas use of convulsive modalities is limited by their cognitive side effects. In this context, we propose that NIN techniques could benefit from a precision-oriented approach. In this review, we discuss the challenges and opportunities in implementing such a framework, focusing on enhancing NIN effects via a combination of individualized cognitive interventions, using closed-loop approaches, identifying multimodal biomarkers, using computer electric field modeling to guide targeting and quantify dosage, and using machine learning algorithms to integrate data collected at multiple biological levels and identify clinical responders. Though promising, this framework is currently limited, as previous studies have employed small samples and did not sufficiently explore pathophysiological mechanisms associated with NIN response and side effects. Moreover, cost-effectiveness analyses have not been performed. Nevertheless, further advancements in clinical trials of NIN could shift the field toward a more “precision-oriented” practice.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1590/1516-4446-2019-0741

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Role:
Author
ORCID:
0000-0002-7367-2882


Publisher:
Associação Brasileira de Psiquiatria
Journal:
Revista brasileira de psiquiatria More from this journal
Volume:
42
Issue:
2
Pages:
403-419
Publication date:
2020-03-16
Acceptance date:
2019-12-10
DOI:
EISSN:
1809-452X
ISSN:
1516-4446
Pmid:
32187319


Language:
English
Keywords:
Pubs id:
1098014
Local pid:
pubs:1098014
Deposit date:
2020-06-08

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