Prediction of SSRI Treatment in Major Depression.

Study Overview
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Brief Summary
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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.

Detailed Description
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Major depression is a mood disorder affecting 350 million people worldwide. The disorder is characterized by depressed mood, anhedonia, decreased quality of life, deficits in cognitive functions and even suicide thoughts. Treatment of depression is often a long process and includes taking different types and quantities of medications. Therefore, there is a need to predict the success of the SSRI treatment. Our research will examine the outcomes of the combined technologies: BNA (EEG), Eye-tracker, structural and functional MRI scans and neuropsychology tasks in patients with depression while receiving SSRI treatment. The purpose of the research is to track biomarkers and other measures, which will allow predicting the SSRI treatment's success within 4 weeks instead of 8 weeks. In addition, the investigators will attempt to categorize patients into different subgroups according to their brain activation and eye movements. This division into subgroups may contribute to the understanding of the mechanisms that account for the responsiveness to SSRI treatment and to the possibility of targeting patients with depression towards a particular treatment. From this research, the investigators aim to personalize the treatment of depression, make it more efficient and reduce the amount of time for the patient to reach an optimal responsiveness.

Official Title
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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.

Conditions
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Major Depression

Intervention / Treatment
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* Device: SIEMENS PRISMA MRI


Participation Criteria
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Eligibility Criteria
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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

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 65 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Healthy subjects<br>50 healthy subjects for a control group | Device: SIEMENS PRISMA MRI<br>* Collect data on brain activation from different methods<br>* Other names: BNA (EEG) Technology, Eyetracking device;|
| Patients with Major Depression<br>50 patients with major depression for a research group | Device: SIEMENS PRISMA MRI<br>* Collect data on brain activation from different methods<br>* Other names: BNA (EEG) Technology, Eyetracking device;|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| 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 Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Resting state connectivity analysis | Examine the difference in resting state connectivity between the groups. | 2 years | 
| Examine correlations between the different methods | Examine correlations between the different methods EEG, Eye-tracking and fMRI | 2 years | 
| EEG brain activation to cognitive tasks | Categorize patients into subgroups according to similar brain activity | 2 years | 
| Eye-tracking tasks | Categorize patients into subgroups according to similar patterns of eye movements. | 2 years | 
| Examine MRI structural changes | Compare structural changes between the groups (patients with depression, healthy subjects). | 2 years | 
| Cognitive scores on CANTAB (computerized cognitive assessments) | Examine the difference in responses to different cognitive exams between the groups | 2 years | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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EEG, fMRI, Major Depression, Eye Tracker, MRI, Resting State Connectivity, Cognition