Detection of Brain Reorganization in Pediatric Multiple Sclerosis Using Functional MRI

Abstract

Significant findings: 1) detection of brain organization in a cohort of 12 pediatric onset multiple sclerosis patients (POMS); 2) development of refined methods for reliable mapping of brain function using passive functional MRI (fMRI) techniques in pediatric study participants. Item 1: we performed a comparative study of POMS patients against healthy controls. We found that 7 patients presenting with mild to severe deficits in the clinic also demonstrated abnormal brain function as measured by our fMRI methods when compared to healthy controls. These preliminary findings support our project s hypothesis that patients who suffer from impairment will also demonstrate abnormal fMRI patterns. Item 2: in meeting the project s goal of reliable fMRI mapping in very young patients, we developed refined passive methods suitable for fMRI mapping in very young subjects. We tested these novel methods in a cohort of 20 healthy controls and 15 pediatric epilepsy patients. We showed our passive fMRI methods will result in reliable fMRI mappings of language when compared to the clinical gold-standards. Our findings are in press as a peer-reviewed article in the journal of Epilepsy Research, titled: Passive fMRI mapping of language function for pediatric epilepsy surgical planning: Validation using Wada, ECS, and FMAER.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2014
Accession Number
ADA614005

Entities

People

  • Ralph O. Suarez

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Brain
  • Detection
  • Diagnostic Imaging
  • Diseases And Disorders
  • Epilepsy
  • Health Services
  • Institutional Review Board
  • Language
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Medical Personnel
  • Multiple Sclerosis
  • Neuroimaging
  • Psychological Tests
  • Standards
  • Three Dimensional
  • Tomography

Fields of Study

  • Medicine

Readers

  • Clinical Trial Research.
  • Neurotrauma and Rehabilitation Medicine.
  • Robotics and Automation.