Electrophysiologic Parameters and Biomarkers Predicting Treatment Response in Patients With Major Depressive Disorder
- Registration Number
- NCT01997580
- Lead Sponsor
- Seoul National University Bundang Hospital
- Brief Summary
To explore electrophysiologic parameters and biomarkers predicting treatment response of patients with major depressive disorder To explore electrophysiologic parameters and biomarkers predicting suicide risk of patients with major depressive disorder
- Detailed Description
Case-control study Repeated measures design
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 600
- DSM-IV-TR major depressive disorder
- aged between 20 and 80
- durg-naive or drug-free
- DSM-IV-TR substance-related disorders (except nicotine)
- significant medical or neurological conditions
- mental retardation or organic brain damage
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- FACTORIAL
- Arm && Interventions
Group Intervention Description Escitalopram escitalopram depressed patients receiving escitalopram treatment
- Primary Outcome Measures
Name Time Method Change in baseline frequency of maximum of cross-spectrum during 6 weeks (Hz) 0, 3, 7, 14, and 42 days the link between the normalized high frequency component of heart rate variability (HRV-HFnu) representing cardiac vagal modulation and frontal alpha power related to resting state
- Secondary Outcome Measures
Name Time Method Change in cardiorespiratory coupling during 6 weeks 0, 3, 7, 14, and 42 days change in value of cross-sample entropy measured by combining sample entropies of heart rate and respiration
Change in persistent homology during 6 weeks 0, 3, 7, 14, and 42 days change in disconnection pattern of EEG channel activities measured by Euclidean distance during 6 weeks
Change in HF during 6 weeks 0, 3, 7, 14, and 42 days change in high frequency component of heart rate variability
Trial Locations
- Locations (1)
Seoul National University Bundang Hospital
🇰🇷Seongnam, Gyeonggi, Korea, Republic of