Identifying Subgroups of Tinnitus Using Novel Resting State fMRI Biomarkers and Cluster Analysis
Abstract
The subject of the project is FY14 PRMRP Topic Area - Tinnitus. The broad goal of this project is to link behavioral measures of tinnitus severity to brain imaging scans that target areas of auditory, attention, and emotion processing, which are important to the underlying neural mechanisms of tinnitus. This study uses functional magnetic resonance imaging (fMRI) and is taking place at the University of Illinois at Urbana-Champaign (UIUC) for civilian data collection (patient and control) and at Wilford Hall Ambulatory Surgical Center (WHASC) for military data collection (patient and control). Identical audiological, behavioral, and brain imaging protocols are being used at both sites and include patients with a range of tinnitus severity. In Year 1, we have begun to use resting-state fMRI to identify measurable characteristics of functional connectivity in attention, emotion, and auditory processing networks that are exclusive to the tinnitus population. In Year 2, we will use clustering algorithms applied to the resting-state data to identify tinnitus subgroups within the patient population and pair them with specific behavioral characteristics.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2016
- Accession Number
- AD1023983
Entities
People
- Fatima T Husain
Organizations
- University of Illinois Urbana–Champaign