bioRxivNeurosciencePreprint
Identifying Neural Correlates of Balance Deficits in Traumatic Brain Injury Using Partial Least Squares Correlation (PLSC) Analysis
Vikram Shenoy HandiruiD, Easter Selvan SuviseshamuthuiD, Soha SalehiD, Haiyan SuiD, Guang H. YueiD, Didier AllexandreiD
Abstract
BackgroundBalance 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. ApproachWe 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 (BBS) 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 (MC-PLSC) 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 ResultsBased on the nonparametric significance testing using permutation and bootstrap procedure, we noticed that the 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 strat-ification: left middle frontal gyrus, right paracentral lobule, precuneus, and bilateral middle occipital gyri. SignificanceIdentifying 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.
- organism: human
- assay: electronic health records
- research focus: differential expression
- research focus: cell-cell communication
- research focus: spatial domain detection
- approach: statistical model
- Citations
- 1
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