Identifying neural correlates of balance impairment in traumatic brain injury using partial least squares correlation analysis

创伤性脑损伤 偏最小二乘回归 相关性 平衡(能力) 偏相关 医学 心理学 物理医学与康复 计算机科学 机器学习 数学 精神科 几何学
作者
Vikram Shenoy Handiru,S. Easter Selvan,Soha Saleh,Haiyan Su,Guang H. Yue,Didier Allexandre
出处
期刊:Journal of Neural Engineering [IOP Publishing]
卷期号:21 (5): 056012-056012
标识
DOI:10.1088/1741-2552/ad7320
摘要

Abstract Objective. Balance impairment is one of the most debilitating consequences of traumatic brain injury (TBI). To study the neurophysiological underpinnings of balance impairment, the brain functional connectivity during perturbation tasks can provide new insights. To better characterize the association between the task-relevant functional connectivity and the degree of balance deficits in TBI, the analysis needs to be performed on the data stratified based on the balance impairment. However, such stratification is not straightforward, and it warrants a data-driven approach. Approach. We conducted a study to assess the balance control using a computerized posturography platform in 17 individuals with TBI and 15 age-matched healthy controls. We stratified the TBI participants into balance-impaired and non-impaired TBI using k -means clustering of either center of pressure (COP) displacement during a balance perturbation task or Berg Balance Scale score as a functional outcome measure. We analyzed brain functional connectivity using the imaginary part of coherence across different cortical regions in various frequency bands. These connectivity features are then studied using the mean-centered partial least squares correlation analysis, which is a multivariate statistical framework with the advantage of handling more features than the number of samples, thus making it suitable for a small-sample study. Main results. Based on the nonparametric significance testing using permutation and bootstrap procedure, we noticed that the weakened theta-band connectivity strength in the following regions of interest significantly contributed to distinguishing balance impaired from non-impaired population, regardless of the type of stratification: left middle frontal gyrus, right paracentral lobule, precuneus , and bilateral middle occipital gyri. Significance. Identifying neural regions linked to balance impairment enhances our understanding of TBI-related balance dysfunction and could inform new treatment strategies. Future work will explore the impact of balance platform training on sensorimotor and visuomotor connectivity.
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