Smartphone based Monitoring and cognition Modification Against Recurrence of Depression (SMARD) – Workpackage 2
- Conditions
- (Remitted) Major Depressive Disorder
- Registration Number
- NL-OMON27513
- Lead Sponsor
- Radboudumc
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- Not specified
- Target Recruitment
- 120
1.Age 18-65 years
2.Recurrent MDD diagnoses (according to DSM-IV and SCID)
3.At least 3 previous MDD-episodes (assessed with the SCID-interview)
4.In stable remission: does not meet criteria for a current MDD episode (SCID-interview) =8 weeks and a Hamilton Depression Rating Scale score =10
5.In possession of smartphone and experienced in use thereof
1.Diagnosis of bipolar, primary psychotic or borderline personality disorder or strong suspicion of this type of disorder
2.Primary diagnosis of substance use or anxiety disorder with secondary MDD
3.Electroconvulsive therapy within two months before inclusion
4.Average alcohol intake of >3 units/day
5.Daily use of benzodiazepines (=5mg diazepam or equivalent)
6.Ongoing psychotherapy during the CCT/ABT/MBT training
7.Previous CCT/AB/MBT training
For the optional add-on MRI-part, standard MRI exclusion criteria will apply.
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method 1.Changes in attention (PASAT), peripheral attention (PVT), attentional bias and memory bias task performance<br>2.SCID positive recurrences of MDD during an observational follow-up of 1.5 years<br>
- Secondary Outcome Measures
Name Time Method 1.Validation of three cognitive training modules:<br>•Change in rumination scores (RRS) <br>•Changes in executive neuropsychological functioning<br>•Changes in brain network-connectivity and associated parameters <br>•Drop-out / compliance of CCT, ABT, MBT tasks<br>2.BEHAPP data to be used for identification and prediction of prospective recurrence during an observational follow-up of 1.5 years<br>3.Changes in ESM-based symptom-networks (daily positive and negative affect measurement) and residual symptoms (HDRS17)<br>