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Title: | Precision non-implantable neuromodulation therapies: a perspective for the depressed brain | Authors: | Borrione, Lucas Bellini, Helena Razza, Lais Boralli Ávila, Ana G. Baeken, Chris Brem, Anna-Katharine Busatto, Geraldo Carvalho, Andre F. Chekroud, Adam Daskalakis, Zafiris J. Deng, Zhi-De Downar, Jonathan Gattaz, Wagner Loo, Colleen Lotufo, Paulo A Martin, Maria da Graça M. McClintock, Shawn M. O'Shea, Jacinta Padberg, Frank Passos, Ives C. Salum, Giovanni A. Vanderhasselt, Marie-Anne Fraguas, Renerio Benseñor, Isabela Valiengo, Leandro Brunoni, Andre R. |
Keywords: | Major depressive disorder; transcranial magnetic stimulation; transcranial direct current stimulation; electroconvulsive therapy; precision medicine | Issue Date: | Aug-2020 | Publisher: | Associacao Brasileira de Psiquiatria | Serial title, monograph or event: | Brazilian Journal of Psychiatry | Volume: | 42 | Issue: | 4 | 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. | URI: | https://hdl.handle.net/10316/105843 | ISSN: | 1809-452X 1516-4446 |
DOI: | 10.1590/1516-4446-2019-0741 | Rights: | openAccess |
Appears in Collections: | I&D CINEICC - Artigos em Revistas Internacionais |
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