Neuromotor changes in participants with a concussion history can be detected with a custom smartphone app
| Author(s) | Rhea, Christopher K. | |
| Author(s) | Yamada, Masahiro | |
| Author(s) | Kuznetsov, Nikita A. | |
| Author(s) | Jakiela, Jason T. | |
| Author(s) | LoJacono, Chanel T. | |
| Author(s) | Ross, Scott E. | |
| Author(s) | Haran, F. J. | |
| Author(s) | Bailie, Jason M. | |
| Author(s) | Wright, W. Geoffrey | |
| Date Accessioned | 2023-02-17T18:59:38Z | |
| Date Available | 2023-02-17T18:59:38Z | |
| Publication Date | 2022-12-15 | |
| Description | This article was originally published in PLOS ONE. The version of record is available at: https://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. | |
| Sponsor | This work was supported by funding the Office of the Assistant Secretary of Defense for Health Affairs under award no. W81XWH-15-1-0094 to CKR. The sponsor did not play any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The opinions or assertions contained herein are the private ones of the authors and are not to be construed as official or reflecting the views of the Department of Defense, the Uniformed Services University of the Health Sciences or any other agency of the U.S. Government. | |
| Citation | Rhea CK, Yamada M, Kuznetsov NA, Jakiela JT, LoJacono CT, 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 | |
| ISSN | 1932-6203 | |
| URL | https://udspace.udel.edu/handle/19716/32319 | |
| Language | en_US | |
| Publisher | PLOS ONE | |
| Keywords | apps | |
| Keywords | cell phones | |
| Keywords | knees | |
| Keywords | behavior | |
| Keywords | kinematics | |
| Keywords | eyes | |
| Keywords | velocity | |
| Keywords | body weight | |
| Title | Neuromotor changes in participants with a concussion history can be detected with a custom smartphone app | |
| Type | Article |
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