Prediction of SSRI Treatment in Major Depression.
A Combination of Innovative Technologies: EEG, Eye Tracking Device and fMRI in Order to Predict the Success of SSRI Treatment in Patients With Major Depression.
1 other identifier
observational
100
1 country
1
Brief Summary
This project will combine the data collected from EEG, Eye tracking, structural and functional MRI scans and neuropsychological performance from patients with major depression receiving SSRI treatment. The purpose of this research is to predict the success of the SSRI treatment and to categorize patients into sub-groups according to similar patterns of brain activation to personalize treatment.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Mar 2019
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 12, 2018
CompletedFirst Posted
Study publicly available on registry
September 14, 2018
CompletedStudy Start
First participant enrolled
March 1, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 1, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
October 1, 2020
CompletedJune 7, 2019
May 1, 2019
1.6 years
September 12, 2018
June 6, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
EEG responses to cognitive tasks in combination with the Eye-tracker Device.
Categorize patients into subgroups according to combined measures of EEG and Eye
2 years
Secondary Outcomes (6)
Resting state connectivity analysis
2 years
Examine correlations between the different methods
2 years
EEG brain activation to cognitive tasks
2 years
Eye-tracking tasks
2 years
Examine MRI structural changes
2 years
- +1 more secondary outcomes
Study Arms (2)
Healthy subjects
50 healthy subjects for a control group
Patients with Major Depression
50 patients with major depression for a research group
Interventions
Collect data on brain activation from different methods
Eligibility Criteria
Study population will include 2 groups of subjects: healthy subjects and patients with major depression
You may qualify if:
- Patients 18-65 years old
- Male and female
- Ability to comprehend and sign informed consent
- DSM-5 diagnosis with MINI 7.0.2 (healthy subjects need to be ruled out)
- DSM-5 diagnosis
- failed treatments
- Patients which will start SSRI treatment
You may not qualify if:
- unconsciousness
- Pregnancy or nursing
- Cardiovascular instability
- Metabolic instability (water, electrolytes, sugar)
- Fever or evidence of microbiological pollutant
- Deafness or blindness
- Schizophrenia
- Addiction disorders
- Eating disorders
- Bi-polar disorder
- Cognitive deficits
- Start a new psychotherapy during the research
- Unable to enter the MRI scanner
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- ElMindA Ltdlead
- Sheba Medical Centercollaborator
- Hebrew University of Jerusalemcollaborator
Study Sites (1)
Sheba Medical CENTER
Ramat Gan, 52621, Israel
Related Publications (4)
Drysdale AT, Grosenick L, Downar J, Dunlop K, Mansouri F, Meng Y, Fetcho RN, Zebley B, Oathes DJ, Etkin A, Schatzberg AF, Sudheimer K, Keller J, Mayberg HS, Gunning FM, Alexopoulos GS, Fox MD, Pascual-Leone A, Voss HU, Casey BJ, Dubin MJ, Liston C. Resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nat Med. 2017 Jan;23(1):28-38. doi: 10.1038/nm.4246. Epub 2016 Dec 5.
PMID: 27918562BACKGROUNDOgawa T, Sekino H, Uzura M, Sakamoto T, Taguchi Y, Yamaguchi Y, Hayashi T, Yamanaka I, Oohama N, Imaki S. Comparative study of magnetic resonance and CT scan imaging in cases of severe head injury. Acta Neurochir Suppl (Wien). 1992;55:8-10. doi: 10.1007/978-3-7091-9233-7_3.
PMID: 1414552BACKGROUNDRaichle ME, Snyder AZ. A default mode of brain function: a brief history of an evolving idea. Neuroimage. 2007 Oct 1;37(4):1083-90; discussion 1097-9. doi: 10.1016/j.neuroimage.2007.02.041. Epub 2007 Mar 6.
PMID: 17719799BACKGROUNDRohden AI, Benchaya MC, Camargo RS, Moreira TC, Barros HMT, Ferigolo M. Dropout Prevalence and Associated Factors in Randomized Clinical Trials of Adolescents Treated for Depression: Systematic Review and Meta-analysis. Clin Ther. 2017 May;39(5):971-992.e4. doi: 10.1016/j.clinthera.2017.03.017. Epub 2017 May 2.
PMID: 28476404BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 12, 2018
First Posted
September 14, 2018
Study Start
March 1, 2019
Primary Completion
October 1, 2020
Study Completion
October 1, 2020
Last Updated
June 7, 2019
Record last verified: 2019-05
Data Sharing
- IPD Sharing
- Will not share