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.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Revital Amiaz
- Phone Number: +972505250590
- Email: Revital.Amiaz@sheba.health.gov.il
Study Contact Backup
- Name: Liran Korine
- Phone Number: +972507453300
- Email: liran@elminda.com
Study Locations
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-
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Ramat Gan, Israel, 52621
- Recruiting
- Sheba medical center
-
Contact:
- Sarel Shlomo
- Phone Number: 03-5303075
- Email: nivdakim.sheba@gmail.com
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- 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)
Inclusion Criteria for patients with depression:
- DSM-5 diagnosis
- 0-2 failed treatments
- Patients which will start SSRI treatment
Exclusion Criteria:
- 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
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Control
- Time Perspectives: Prospective
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Healthy subjects
50 healthy subjects for a control group
|
Collect data on brain activation from different methods
Other Names:
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Patients with Major Depression
50 patients with major depression for a research group
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Collect data on brain activation from different methods
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
EEG responses to cognitive tasks in combination with the Eye-tracker Device.
Time Frame: 2 years
|
Categorize patients into subgroups according to combined measures of EEG and Eye
|
2 years
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Resting state connectivity analysis
Time Frame: 2 years
|
Examine the difference in resting state connectivity between the groups.
|
2 years
|
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Examine correlations between the different methods
Time Frame: 2 years
|
Examine correlations between the different methods EEG, Eye-tracking and fMRI
|
2 years
|
|
EEG brain activation to cognitive tasks
Time Frame: 2 years
|
Categorize patients into subgroups according to similar brain activity
|
2 years
|
|
Eye-tracking tasks
Time Frame: 2 years
|
Categorize patients into subgroups according to similar patterns of eye movements.
|
2 years
|
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Examine MRI structural changes
Time Frame: 2 years
|
Compare structural changes between the groups (patients with depression, healthy subjects).
|
2 years
|
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Cognitive scores on CANTAB (computerized cognitive assessments)
Time Frame: 2 years
|
Examine the difference in responses to different cognitive exams between the groups
|
2 years
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Publications and helpful links
General Publications
- 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. Erratum In: Nat Med. 2017 Feb 7;23 (2):264.
- Ogawa 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.
- Raichle 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.
- Rohden 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.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- ELM-55 5323-18-SMC
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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