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 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 audio logical, behavioral, and brain imaging protocols are being used at both sites and include patients with a range of tinnitus severity. In Year 2, we had ongoing data collection using resting-state fMRI to identify characteristics of functional connectivity in attention, emotion, and auditory processing networks that are exclusive to the tinnitus population. We also used clustering algorithms applied to the resting-state data to differentiate patients with tinnitus from controls. We presented results in military and other conferences. In Year 3, we expect to complete data collection and analysis and submit manuscripts.

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Document Details

Document Type
Technical Report
Publication Date
Oct 13, 2017
Accession Number
AD1048527

Entities

People

  • Fatima T Husain

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Brain
  • Clustering
  • Computer Programming
  • Data Acquisition
  • Data Analysis
  • Diseases And Disorders
  • Health Services
  • Hearing Loss
  • Illinois
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Medical Personnel
  • Neuroimaging
  • Resonance
  • Students
  • Universities

Readers

  • Neurotrauma and Rehabilitation Medicine.
  • Oncology and Biomarker-Based Cancer Detection.
  • Speech Processing/Speech Recognition.