Neural Oscillations as Genetic and Functional Biomarkers in Normal and Disease States
The principle aim of the project is to analyze brain electrical activity and genetic information that will help identify the nature and cause of the disease schizophrenia. This effort should lay the groundwork for future treatment in schizophrenic patients.
|Study Design:||Observational Model: Case Control
Time Perspective: Cross-Sectional
|Official Title:||Neural Oscillations as Genetic and Functional Biomarkers in Normal and Disease States|
|Study Start Date:||January 2011|
|Estimated Study Completion Date:||January 2020|
|Estimated Primary Completion Date:||January 2020 (Final data collection date for primary outcome measure)|
|Schizophrenic patients, family members|
There are several studies and hypotheses to be tested. This project includes a cross-sectional study design measuring brain waves, clinical symptoms, cognitive and functional ability, and genetic information in schizophrenic patients and normal controls. Subjects are expected to do a brain wave recording (EEG/ERP), role-play test designed to measure functionality and cognitive ability, and clinical symptom assessments. Expected duration of subject participation will be approximately 8 hours (about 2 visits). Outcome measures includes biomarkers, clinical symptoms and function, and genetic information.
|United States, Maryland|
|Maryland Psychiatric Research Center||Recruiting|
|Baltimore, Maryland, United States, 21228|
|Contact: Kavita Thangavelu, MSW 410-402-6124 Kthangavelu@mprc.umaryland.edu|
|Principal Investigator:||L.Elliot Hong, M.D.||Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine|