Validating Virtual Time to Contact With Home-Based Technology in Young and Older Adults

Hsieh, Katherine L.; Moon, Yaejin; Ramkrishnan, Vignesh; Ratnam, Rama; Sosnoff, Jacob J.

doi:10.1123/jab.2018-0088

Cited by 1 publication

(3 citation statements)

References 41 publications

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“…This result suggests that, for naturally occurring instabilities, the spatial and temporal proximity of the center of pressure to the stability boundary is the most crucial variable triggering the cortical sign of postural instability. In contrast to previous studies that obtained similar findings [13,18,33,39,51,52], our findings resulted from a direct comparison of the prediction ability of four biomechanical parameters during a single epoch. While we showed the utility of this approach in the context of a standing balance task, it can be extended to other dynamic situations like walking.…”

Section: Discussioncontrasting

confidence: 80%

“…Slobounov et al were first to propose that TTB could be the neural detector of postural instability [13,33], as it combines both spatial and temporal dynamics of postural sway. Various studies over the years, including those from our laboratory, have shown the effectiveness of TTB as a valid measure of postural stability in various populations or scenarios, including older adults [51,52], people with multiple sclerosis [59,60], ankle instability [61], Parkinson's disease [62], virtual temporary lesion [15], as well as in astronauts [39] and single vs. dual-task differences [16,18]. Postural stability measured by TTB has also been linked to greater fall risk [52,60,63].…”

Section: Discussionmentioning

confidence: 99%

“…Various studies over the years, including those from our laboratory, have shown the effectiveness of TTB as a valid measure of postural stability in various populations or scenarios, including older adults [51,52], people with multiple sclerosis [59,60], ankle instability [61], Parkinson's disease [62], virtual temporary lesion [15], as well as in astronauts [39] and single vs. dual-task differences [16,18]. Postural stability measured by TTB has also been linked to greater fall risk [52,60,63]. Similarly, the margin of stability has been shown [64,65] to be associated with instability during dynamic balance.…”

Section: Discussionmentioning

confidence: 99%

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Assessment of Biomechanical Predictors of Occurrence of Low-Amplitude N1 Potentials Evoked by Naturally Occurring Postural Instabilities

Goel

Nakagome

Paloski

et al. 2022

IEEE Trans. Neural Syst. Rehabil. Eng.

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Naturally occurring postural instabilities that occur while standing and walking elicit specific cortical responses in the fronto-central regions (N1 potentials) followed by corrective balance responses to prevent falling. However, no framework could simultaneously track different biomechanical parameters preceding N1s, predict N1s, and assess their predictive power. Here, we propose a framework and show its utility by examining cortical activity (through electroencephalography [EEG]), ground reaction forces, and head acceleration in the anterior-posterior (AP) direction. Ten healthy young adults carried out a balance task of standing on a support surface with or without sway referencing in the AP direction, amplifying, or dampening natural body sway. Using independent components from the frontocentral cortical region obtained from subject-specific head models, we first robustly validated a prior approach on identifying lowamplitude N1 potentials before early signs of balance corrections. Then, a machine learning algorithm was used to evaluate different biomechanical parameters obtained before N1 potentials, to predict the occurrence of N1s. When different biomechanical parameters were directly compared, the time to boundary (TTB) was found to be the best predictor of the occurrence of upcoming low-amplitude N1 potentials during a balance task. Based on these findings, we confirm that the spatio-temporal characteristics of the center of pressure (COP) might serve as an essential parameter that can facilitate the early detection of postural instability in a balance task. Extending our framework to identify such biomarkers in dynamic situations like walking might improve the implementation of corrective balance responses through brainmachine-interfaces to reduce falls in the elderly.

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