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The goal of the study is to address the unmet need of TRD patients by identifying brain networks critical for treating depression and to use next generation precision DBS with steering capability to engage these targeted networks. The study's goal will be achieved through 3 specific aims:
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Treatment-resistant depression (TRD) is a major worldwide burden. Major depression has a lifetime prevalence of ~15% across developed countries. Up to a third of patients fail to respond adequately to evidence-based treatments, including pharmacological, behavioral, and electroconvulsive therapy. The investigators employ an innovative approach, including subacute invasive neurophysiological monitoring with which they aim to gain insight into the networks underlying depression symptomatology, confirm the ability to predict the effects of precision DBS on network activity, and harmonize these insights to implement network-guided DBS for TRD.
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12 participants in 1 patient group
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Sameer A Sheth, MD, PhD
Data sourced from clinicaltrials.gov
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