{"_path":"/studies/5","_dir":"studies","_draft":false,"_partial":false,"_locale":"","id":"5","record_id":"5","name_study":"ECT Neuroimaging Cohort","dzpg_site":"Jena/Magdeburg/Halle","description_study":"The aim of this project is to investigate the neural mechanisms of action of ECT, especially with reference to (neuro-) cognitive functions and long-term treatment outcome. The design of this prospective, naturalistic case-control study includes 3 samples and 4 time points: A sample of depressed patients treated with ECT, a depressed control sample treated with psychotropic drugs only, and a healthy control subject group. Using structural and functional magnetic resonance imaging as well as a detailed neuropsychological test battery and clinical ratings, both direct and long-term effects of ECT will be examined at 4 time points: Before ECT treatment, after the ECT series, after 6 months, and after 12 months.","title_pi":"Prof. Dr.","given_name_pi":"Ronny","family_name_pi":"Redlich","contact_mail":"ronny.redlich@psych.uni-halle.de","contact_phone":"3455524442","paper":"Redlich et al. (2016). Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data. JAMA Psychiatry    https://jamanetwork.com/journals/jamapsychiatry/fullarticle/2519363","study_status":"Ongoing (II): Recruitment and data collection ongoing","type_intervention":["Non-interventional"],"type_specification_non_int":["Case-control"],"type_specification_int":[],"setting":"Multicentric","n_sites":"2","setting_country":"Single","which_country":"Germany","participants":["Patients with specific diseases"],"specific_diseases":["Mental, behavioural or neurodevelopmental disorders (06)"],"mental_disorders":["Mood disorders"],"somatic_disorders":[],"recruited":["Hospital"],"n_participants_obtained":"90","start_recruitment":"2015","min_age":"18","max_age":"65","data_sources":["Biological samples","Cognitive measurements","Imaging data","Medical records","Interview"],"data_sharing":"Yes, there is a plan to make data available","data_sharing_additional":"The cohort takes part at the GEMRIC consortia.","planned_follow_ups":"Not planned, but possible","consent_recontact":"Yes","further_components":"No","biobank":{"biobank_material":["Blood"],"biobank_blood":["EDTA","PAXgene/Tempus"],"biobank_serum":[],"biobank_edta":["Genetic","Epigenetic"],"biobank_paxgene":["Gene expression"],"biobank_pbmc":[],"biobank_urin":[],"biobank_saliva":[]},"pi_full":"Prof. Dr. Ronny Redlich","_id":"content:studies:5.json","_type":"json","title":"5","_source":"content","_file":"studies/5.json","_stem":"studies/5","_extension":"json"}