fMRI analysis of neural mechanisms underlying rehabilitation in virtual reality: Activating secondary motor areas

Katherine August, Jeffrey A. Lewis, Gayathri Chandar, Alma Merians, Bharat Biswal, Sergei Adamovich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

48 Scopus citations

Abstract

A pilot functional MRI study on a control subject investigated the possibility of inducing increased neural activations in primary, as well as secondary motor areas through virtual reality-based exercises of the hand. These areas are known to be important in effective motor output in stroke patients with impaired corticospinal systems. We found increased activations in these brain areas during hand exercises in VR when compared to vision of non-anthropomorphic shapes. Further studies are needed to investigate the potential of virtual reality-based rehabilitation for tapping into the properties of the mirror neuron system to stimulate plasticity in sensorimotor areas.

Original languageEnglish (US)
Title of host publication28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Pages3692-3695
Number of pages4
DOIs
StatePublished - 2006
Event28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
Duration: Aug 30 2006Sep 3 2006

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Other

Other28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Country/TerritoryUnited States
CityNew York, NY
Period8/30/069/3/06

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Fingerprint

Dive into the research topics of 'fMRI analysis of neural mechanisms underlying rehabilitation in virtual reality: Activating secondary motor areas'. Together they form a unique fingerprint.

Cite this