Evaluation of a Protocol for fMRI Assessment Associated with Augmented Reality Rehabilitation of Stroke Subjects

Authors

  • Gilda Assis Federal University of Ouro Preto - UFOP Computer Dept.
  • Alexandre Brandao State University of Campinas - UNICAMP Institute of Physics Gleb Wataghin - IFGW Brazilian Institute of Neuroscience and Neurotechnology - BRAINN | UNICAMP
  • Ana Grasielle Dionísio Correa Mackenzie Presbyterian University
  • Gabriela Castellano State University of Campinas - UNICAM Institute of Physics Gleb Wataghin - IFGW Brazilian Institute of Neuroscience and Neurotechnology - BRAINN | UNICA

Keywords:

Augmented Reality, Motor rehabilitation, Stroke

Abstract

New technologies for rehabilitation involving Augmented Reality (AR) as a complement to conventional therapy have appeared in recent years. An earlier study for shoulder rehabilitation using the AR NeuroR computer system showed improved clinical outcomes for stroke patients. This study aims to analyze a proposed protocol to measure possible changes in functional brain connectivity associated with the use of the NeuroR system in the context of shoulder motor rehabilitation of post-stroke subjects. A pilot study was conducted with a poststroke patient, using resting-state functional magnetic resonance imaging (RS-fMRI). RS-fMRI signals were acquired pre and post use of the NeuroR system (pre-test and post-test), integrated into the patient’s rehabilitation program. Functional connectivity analysis of RS-fMRI was performed using the motor area as seed. The maximum connectivity value in the pre-test occurred in the ipsilesional parietal region while the maximum in the post-test was located in the ipsilesional frontal region. It was observed that the regions strongly associated with motor activity had higher connectivity values at post-test compared to pre-test. The proposed protocol is suitable and safe for verifying if functional brain connectivity was changed after the rehabilitation program with NeuroR training, indicating a possible neuroplasticity effect. Tests with a larger number of patients are still necessary.

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Author Biographies

Gilda Assis, Federal University of Ouro Preto - UFOP Computer Dept.

Electrical Engineering Ph.D. (USP), currently an assistant professor at UFOP.

Alexandre Brandao, State University of Campinas - UNICAMP Institute of Physics Gleb Wataghin - IFGW Brazilian Institute of Neuroscience and Neurotechnology - BRAINN | UNICAMP

Biotechnology Ph.D. (UFSCar) and Health Informatics Specialist (UNIFESP), currently an associate researcher at the BRAINN | UNICAMP (IFGW).

Ana Grasielle Dionísio Correa, Mackenzie Presbyterian University

Electrical Engineering Ph.D. (USP), currently an assistant professor at Mackenzie Presbyterian University.

Gabriela Castellano, State University of Campinas - UNICAM Institute of Physics Gleb Wataghin - IFGW Brazilian Institute of Neuroscience and Neurotechnology - BRAINN | UNICA

Electrical Engineering Ph.D. (King's College, University of London), currently an associate professor at UNICAMP.

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Published

2019-12-13

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Section

Articles