EEG and Motor Effects of Multimodal Feedback to Train Functional Grasp after Traumatic Brain Injury

Mingxiao Liu, Samuel Wilder, Sean Sanford, Sophie Dewil, Soha Saleh, Raviraj Nataraj

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Physical therapy is crucial to rehabilitating hand function needed for activities of daily living after neurological traumas such as traumatic brain injury (TBI). Virtual reality (VR) can motivate participation in motor rehabilitation therapies. Computerized interfaces like VR could be further leveraged to provide augmented feedback during training that accelerates motor learning. In prior work, our lab demonstrated improved performance of a functional grasp task after training with augmented feedback from a 'smart' glove. The glove has modules and computational intelligence to detect and cue users about secure grasp. In this study, we incorporated VR with the glove to enhance the augmented feedback. We then examined how multimodal (audio and visual cues) feedback impacted performance and neurological responses compared to unimodal feedback (audio cues only) after TBI (n=5) versus neurotypicals (n=10). After training with multimodal feedback for a grasp-and-place task, electroencephalography (EEG) alpha power significantly increased for TBI and neurotypical groups. However, only the TBI group significantly improved performance (i.e., reduced motion pathlength). These results suggest a neurological basis for the benefits of training with multimodal feedback. Adding sensory cues may better consolidate early motor learning in the presence of neurological dysfunction, as indicated by higher alpha activity with improved performance. Computerized interfaces such as virtual reality offer a powerful platform to customize rehabilitative training and improve functional outcomes according to specific neurological states.

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE 36th International Symposium on Computer-Based Medical Systems, CBMS 2023
EditorsRosa Sicilia, Bridget Kane, Joao Rafael Almeida, Myra Spiliopoulou, Jose Alberto Benitez Andrades, Giuseppe Placidi, Alejandro Rodriguez Gonzalez
Pages374-377
Number of pages4
ISBN (Electronic)9798350312249
DOIs
StatePublished - 2023
Event36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023 - L�Aquila, Italy
Duration: 22 Jun 202324 Jun 2023

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
Volume2023-June
ISSN (Print)1063-7125

Conference

Conference36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023
Country/TerritoryItaly
CityL�Aquila
Period22/06/2324/06/23

Keywords

  • grasp
  • rehabilitation
  • traumatic brain injury
  • virtual reality

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