Potential Use of Brain Network Activation (BNA) Analysis Using Evoked Response Potentials to Diagnose Unipolar Major Depression and Bipolar I Depression and Assess Response to Treatment
Potential Use of Brain Network Activation (BNA) Analysis Using Evoked Response Potentials to Diagnose Unipolar Major Depression and Bipolar I Depression and Assess Response to Treatment
The investigators are conducting this study to test the usefulness of a new type of analysis of electroencephalographic (EEG) recordings called brain network activation or BNA. BNA allows to identify patterns of activation in brain networks and to track their changes over time. The investigators want to examine the possible role of brain network activation (BNA) in the diagnosis of mood disorders and predicting improvement over time. The procedure conducted with patients diagnosed with a mood disorder will be compared to people who do not have a mood disorder.
Novel approach to ascertain use of BNA strategy and technology for the use in confirming diagnosis and predicting effect of specific treatment(s)in the various stages of affective/mood disorders. The goal is to develop non-invasive technology to confirm diagnosis via biological outcomes, and to study the preliminary data of predicting response/non-response to specific interventions before clinical effects are shown.
Only subjects participating in another specific clinical trial will be invited to participate in this study.
The inclusion/exclusion criteria for this observational study are based on the individual inclusion/exclusion criteria for each of the studies and can be found for each of the studies on this website.
The specific studies and their numbers are found on their individual ClinicalTrials.gov site.
INCLUSION CRITERIA:
Bipolar I, depressed Major depression Meeting all criteria to sign the informed consent for each study included in this study who currently have a major depression (unipolar or bipolarI)
EXCLUSION CRITERIA:
Medically unstable (based on opinion of sponsor and PI Unable to meet the criteria to conform to the Rush University informed consent process