Prediction of individual response to Electroconvulsive Therapy via machine learning on structural Magnetic Resonance Imaging data (The GEMRIC Munster, Germany center)
Electroconvulsive therapy (ECT) is one of the most effective treatments for severe depression. However, biomarkers that accurately predict a response to ECT remain unidentified. In this study, the researchers investigated whether certain factors identified by structural magnetic resonance imaging (MRI) techniques are able to predict ECT response.
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Visit Redlich_JAMA Psychiatry_2016
- Study design
- Patients' cohort
Redlich R, Opel N, Grotegerd D, et al. Prediction of individual response to Electroconvulsive Therapy via machine learning on structural Magnetic Resonance Imaging data. JAMA Psychiatry. 2016;73(6):557-64. doi:10.1001/jamapsychiatry.2016.0316
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Availability of access information
On the study website : https://mmiv.no/gemric/
No coverage data about the variables classifications are available.