This study examined the potential for novel tablet-based tasks, modeled after eye tracking techniques, to detect subtle sensorimotor and cognitive deficits after mild traumatic brain injury (mTBI). Specifically, we examined whether performance on these tablet-based tasks (Pro-point and Anti-point) was able to correctly categorize concussed versus non-concussed participants, compared with performance on other standardized tests for concussion. Patients admitted to the emergency department with mTBI were tested on the Pro-point and Anti-point tasks, a current standard cognitive screening test (i.e., the Standard Assessment of Concussion [SAC]), and another eye movement-based tablet test, the King-Devick(®) (KD). Within hours after injury, mTBI patients showed significant slowing in response times, compared with both orthopedic and age-matched control groups, in the Pro-point task, demonstrating deficits in sensorimotor function. Mild TBI patients also showed significant slowing, compared with both control groups, on the Anti-point task, even when controlling for sensorimotor slowing, indicating deficits in cognitive function. Performance on the SAC test revealed similar deficits of cognitive function in the mTBI group, compared with the age-matched control group; however, the KD test showed no evidence of cognitive slowing in mTBI patients, compared with either control group. Further, measuring the sensitivity and specificity of these tasks to accurately predict mTBI with receiver operating characteristic analysis indicated that the Anti-point and Pro-point tasks reached excellent levels of accuracy and fared better than current standardized tools for assessment of concussion. Our findings suggest that these rapid tablet-based tasks are able to reliably detect and measure functional impairment in cognitive and sensorimotor control within hours after mTBI. These tasks may provide a more sensitive diagnostic measure for functional deficits that could prove key to earlier detection of concussion, evaluation of interventions, or even prediction of persistent symptoms.
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http://dx.doi.org/10.1089/neu.2015.3990 | DOI Listing |
Behav Res Methods
January 2025
Department Neurophysics, Philipps-Universität Marburg, Fachbereich Physik, AG Neurophysik, Karl-Von-Frisch-Straße 8a, 35043, Marburg, Lahnberge, Germany.
The analysis of eye movements is a noninvasive, reliable and fast method to detect and quantify brain (dys)function. Here, we investigated the performance of two novel eye-trackers-the Thomas Oculus Motus-research mobile (TOM-rm) and the TOM-research stationary (TOM-rs)-and compared them with the performance of a well-established video-based eye-tracker, i.e.
View Article and Find Full Text PDFJMIR Aging
December 2024
Care & Technology Lab, Furtwangen University, Robert-Gerwig-Platz 1, Furtwangen, Germany.
Background: The demand for support among people with dementia is increasing, while caregiving capacity is declining. As the trend of aging at home continues, technologies can help maintain the autonomy of people with dementia, enabling them to live independently for as long as possible. Furthermore, digital applications can have numerous positive biopsychosocial effects on the health of people with dementia, enhancing their physical, cognitive, and social functioning.
View Article and Find Full Text PDFJMA J
October 2024
Department of Rehabilitation Medicine, Showa University School of Medicine, Yokohama, Japan.
Introduction: This study examined the test-retest reliability of the Kids Brain Balancer, a tablet-based cognitive assessment app, among children in the special education system and gathered preliminary validity evidence by evaluating score agreement with the Wechsler Intelligence Scale for Children, Fourth Edition (WISC-IV).
Methods: A total of 36 children undergoing special education (aged 7-11 years) completed the Balancer tasks more than three times for over 1 month. Intraclass correlation coefficients (ICCs) facilitated the analysis of score reliability across sessions.
Nutrients
October 2024
Maternal and Child Health Division, icddr,b, Dhaka 1212, Bangladesh.
Background/objectives: An Android platform-based customised app and web-linked system was developed to aid in implementing selected nutrition interventions by community health workers (CHWs) in a community-based cluster randomised trial (c-RCT) in rural Bangladesh.
Methods: Here, we describe the architecture of the intervention delivery system, and explore feasibility of employing mHealth as CHWs' job aid, employing a mixed-method study design covering 17 visits per mother-child dyad. We analysed CHWs' real-time visit information from monitoring and documentation data, and CHWs' qualitative interviews to explore the advantages and barriers of using mHealth as a job aid.
Neuromodulation
January 2025
Department of Radiology, Northwestern University, Chicago, IL, USA. Electronic address:
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