Loading...
Neuromotor changes in participants with a concussion history can be detected with a custom smartphone app
Rhea, Christopher K. Yamada, Masahiro Kuznetsov, Nikita A. Jakiela, Jason T. LoJacono, Chanel T. Ross, Scott E. Haran, F. J. Bailie, Jason M. Wright, W. Geoffrey
Rhea, Christopher K.
Yamada, Masahiro
Kuznetsov, Nikita A.
Jakiela, Jason T.
LoJacono, Chanel T.
Ross, Scott E.
Haran, F. J.
Bailie, Jason M.
Wright, W. Geoffrey
Citations
Altmetric:
Genre
Journal article
Date
2022-12-15
Advisor
Committee member
Group
Department
Health and Rehabilitation Sciences
Permanent link to this record
Collections
Research Projects
Organizational Units
Journal Issue
DOI
http://dx.doi.org/10.1371/journal.pone.0278994
Abstract
Neuromotor dysfunction after a concussion is common, but balance tests used to assess neuromotor dysfunction are typically subjective. Current objective balance tests are either cost- or space-prohibitive, or utilize a static balance protocol, which may mask neuromotor dysfunction due to the simplicity of the task. To address this gap, our team developed an Android-based smartphone app (portable and cost-effective) that uses the sensors in the device (objective) to record movement profiles during a stepping-in-place task (dynamic movement). The purpose of this study was to examine the extent to which our custom smartphone app and protocol could discriminate neuromotor behavior between concussed and non-concussed participants. Data were collected at two university laboratories and two military sites. Participants included civilians and Service Members (N = 216) with and without a clinically diagnosed concussion. Kinematic and variability metrics were derived from a thigh angle time series while the participants completed a series of stepping-in-place tasks in three conditions: eyes open, eyes closed, and head shake. We observed that the standard deviation of the mean maximum angular velocity of the thigh was higher in the participants with a concussion history in the eyes closed and head shake conditions of the stepping-in-place task. Consistent with the optimal movement variability hypothesis, we showed that increased movement variability occurs in participants with a concussion history, for which our smartphone app and protocol were sensitive enough to capture.
Description
Citation
Rhea CK, Yamada M, Kuznetsov NA, Jakiela JT, LoJacono CT, Ross SE, et al. (2022) Neuromotor changes in participants with a concussion history can be detected with a custom smartphone app. PLoS ONE 17(12): e0278994. https://doi.org/10.1371/journal.pone.0278994
Citation to related work
Public Library of Science (PLoS)
Has part
PLoS ONE, Vol. 17
ADA compliance
For Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu