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Voice recordings taken prior to the start of repetitive transcranial magnetic stimulation (rTMS) therapy will be used to develop a predictive model of treatment response using machine learning for patients with major depressive disorders (MDD).
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The objective of this study is to investigate whether voice biomarkers taken prior to the start of rTMS can predict the response to a 30-session course of rTMS in patients with MDD with good sensitivity and specificity. Patients who are prescribed rTMS to treat an episode of MDD at one of the nine participating centres will be invited to participate in the study. The protocol includes one inclusion visit and seven evaluation visits before, during, and after the course of rTMS. The rTMS course will last for six weeks, comprising of 30 sessions with five sessions per week. Prior to the commencement of the rTMS course, patients will need to complete several questionnaires. Before the first session, voice tests will be recorded using the Callyope application. Patients will answer questionnaires and assess voice tests weekly and after the final rTMS session to track the progression of depressive symptoms.
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156 participants in 1 patient group
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Nelly HERAUD, PhD
Data sourced from clinicaltrials.gov
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