Establishing Multimodal Brain Biomarkers Using Data-driven Analytics for Treatment Selection in Depression
University of Texas at Austin
Summary
The purpose of the study is to identify brain biomarkers and characteristics that predict individual responses to treatment of major depression with the antidepressant drug sertraline (tradename Zoloft), a common selective serotonin reuptake inhibitor (SSRI) antidepressant. Our central hypothesis is that brain activity and connections jointly measured with functional magnetic resonance imaging (fMRI) and electroencephalogram (EEG) will be able to predict an individual's response to sertraline treatment.
Description
Our prior published studies found that sertraline outcome was predicted by biomarkers, primarily in frontoparietal control (FPCN), default mode (DMN), and ventral attention networks (VAN), from different single-modality neuroimaging data, including fMRI activation during emotional conflict regulation, resting EEG power signature, and resting fMRI connectivity. Our recent study with resting EEG connectivity defined two sertraline-predictive subtypes that showed convergent validity between EEG and fMRI. Therefore, the investigators hypothesize that modality-specific regional activity/connections…
Eligibility
- Age range
- 18–65 years
- Sex
- All
- Healthy volunteers
- No
Inclusion Criteria: * English as primary language, and comprehension suitable to understand experimenter instructions * Meet criteria for a current major depressive episode diagnosed through the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders 5th edition (DSM-5) (SCID-5) * Meet criteria for early onset (prior to age 30) of depression and either: a) current major depressive episode lasts for \> 2 years; or b) participant meets criteria for recurrent major depression as evidenced by 2 or more major depressive episodes (including current episode) in th…
Interventions
- DrugSertraline
50-200mg/day
Location
- Health Discovery Building (HDB), 1601 Trinity St., Bldg B., Z0600Austin, Texas