Search

Cognitive motor interference (CMI) is a psychomotor phenomenon characterized by alterations in kinematic spatial-temporal parameters during concurrent cognitive and motor tasks (i.e. dual-tasking). Previous literature has demonstrated that cognitive-motor dual-tasking induces alterations gait parameters; however, the influence of CMI on spine reflexive motion has yet to be researched. The purpose of this study was to assess the influence of cognitive-motor dual-tasking during unexpected spine loading, in particular focusing on paraspinal muscle responses and spine sub-regional kinematic responses. To do this, the spine was perturbed by unexpectedly dropping a 6.8 kg mass into the participants' hands during cognitive dual-task and control conditions. Intersegmental spine angles, paraspinal muscle onset latencies, baseline activations, and response magnitudes were measured. The results demonstrated that participants experienced greater spine flexion at all intersegmental levels during the cognitive dual-task condition compared to the control condition. Additionally, muscle onset latencies were significantly delayed in three of the four paraspinal muscles studied when performing the cognitive-motor dual-task. These results demonstrate that the additional cognitive load led to delayed muscle activation responses and subsequently greater intersegmental lumbar spine flexion in response to a sudden loading perturbation. This suggests that cognitive-motor dual-tasking may increase the risk of developing an acute spine injury under similar conditions., (Copyright © 2021 Elsevier B.V. All rights reserved.)

When an individual enters a maximally flexed spine position, their largest extensor muscles become electrically inactive despite a substantial extensor moment demand being placed on the low back; this is termed flexion relaxation. Stresses within intervertebral discs, ligaments, and passive muscles are thought to support this moment thereby allowing the extensor muscles to 'turn off'. While the mechanical behaviour of the intervertebral disc and ligaments have been studied extensively, less is known regarding the moment supported by passive muscle tissue during spine flexion. Here we estimated the L4/L5 moment supported by the passive musculature during spine flexion based on experimentally derived architectural and material properties. We then tested the validity of the passive muscle prediction by determining whether the cumulative passive tissue moment (including passive muscle, intervertebral discs, and ligaments) would support the extensor moment demand-calculated with inverse dynamics-near maximum spine flexion. The model predicted that the passive tissues were able to support the entire extensor moment demand, indicating that muscle activity was not required to support the weight of the upper body, consistent with the mechanism of flexion relaxation. The model further demonstrated that despite being inactive, spine muscles still greatly contribute to flexion relaxation by passively supporting ~47% of the extensor moment demand on the spine. Finally, there was strong agreement between the predicted active muscle moments and the recorded spine muscle activity (EMG); this strong agreement persisted when the external moment was manipulated using a pulley-system. These findings provide additional confidence that the estimated passive muscle moments are reasonably accurate throughout spine flexion., Competing Interests: Declaration of Competing Interest The authors have no conflicts of interest associated with the work presented in this manuscript., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Background Context: The spine is an anatomically complex system with numerous degrees of freedom. Due to this anatomical complexity, it is likely that multiple motor control options exist to complete a given task., Purpose: To identify if distinct spine spatiotemporal movement strategies are utilized in a homogenous sample of young healthy participants., Study Design: Kinematic data were captured from a single cohort of male participants (N=51) during a simple, self-controlled spine flexion-extension task., Methods: Thoracic and lumbar flexion-extension data were analyzed to extract the continuous relative phase between each spine subsection. Continuous relative phase data were evaluated using a principal component analysis to identify major sources of variation in spine movement coordination. Unsupervised machine learning (k-means clustering) was used to identify distinct clusters present within the healthy participants sampled. Once distinguished, intersegmental spine kinematics were compared amongst clusters., Results: The findings of the current work suggest that there are distinct timing strategies that are utilized, within the participants sampled, to control spine flexion-extension movement. These strategies differentiate the sequencing of intersegmental movement and are not discriminable on the basis of simple participant demographic characteristics (ie, age, height, and body mass index), total movement time or range of motion., Conclusions: Spatiotemporal spine flexion-extension patterns are not uniform across a population of young healthy individuals., Clinical Significance: Future work needs to identify whether the motor patterns characterized with this work are driven by distinct neuromuscular activation patterns, and if each given pattern has a varied risk for low back injury., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Passive mechanical properties differ between muscle groups within a species. Altered functional demands can also shift the passive force-length relationship. The extent that passive mechanical properties differ within a muscle group (e.g. spine extensors) or between homologous muscles of different species is unknown. It was hypothesized that multifidus, believed to specialize in spine stabilization, would generate greater passive tensile stresses under isometric conditions than erector spinae, which have more generalized functions of moving and stabilizing the spine; observing greater multifidus moduli in different species would strengthen this hypothesis. Permeabilized fibre bundles (n = 337) from the multifidus and erector spinae of mice, rats, and rabbits were mechanically tested. A novel logistic function was fit to the experimental data to fully characterize passive stress and modulus. Species had the greatest effect on passive muscle parameters with mice having the largest moduli at all lengths. Rats generated less passive stress than rabbits due to a shift of the passive force-length relationship towards longer muscle lengths. Rat multifidus generated slightly greater stresses than erector spinae, but no differences were observed between mouse muscles. The secondary objective was to determine the parameters required to simulate the passive force-length relationship. Experimental data were compared to the passive muscle model in OpenSim. The default OpenSim model, optimized for hindlimb muscles, did not fit any of the spine muscles tested; however, the model could accurately simulate experimental data after adjusting the input parameters. The optimal parameters for modelling the passive force-length relationships of spine muscles in OpenSim are presented., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Despite 'abnormal' motion being considered a risk factor for low back injury, the current understanding of 'normal' spine motion is limited. Identifying normal motion within an individual is complicated by the considerable variation in movement patterns amongst healthy individuals. Therefore, the purpose of this study was to characterize sources of variation in spine motion among a sample of healthy participants. The second objective of this study was to develop a multivariate model capable of predicting an expected movement pattern for an individual. The kinematic shape of the lower thoracic and lumbar spine was recorded during a constrained dynamic trunk flexion movement; as this is not a normal everyday movement task, movements are considered 'typical' and 'atypical' for this task rather than 'normal' and 'abnormal'. Variations in neutral standing posture accounted for 85% of the variation in spine motion throughout the task. Differences in total spine range of flexion and a regional re-weighting of range of motion between lower thoracic and lumbar regions explained a further 9% of the variance among individuals. The analysis also highlighted a difference in temporal sequencing of motion between lower thoracic and lumbar regions which explained 2% of the total movement variation. These identified sources of variation were used to select independent variables for a multivariate linear model capable of predicting an individuals' expected movement pattern. This was done as a proof-of-concept to demonstrate how the error between predicted and observed motion patterns could be used to differentiate between 'typical' and 'atypical' movement strategies., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

This study was designed to assess the utility of using a measure of dynamic spine stability in an unfatigued, rested state as a predictor of dynamic spine stability in a challenged, fatigued state. Participants completed three trials (Day 1: Rested, Fatigued; Day 2: Recovery) during which the dynamic stability of the spine was assessed over 30 repeated flexion/extension motions using maximum finite-cycle Lyapunov exponents. Multiple sets of dynamic trunk extensions were performed to fatigue the trunk extensor muscles. Across the sample population, an increase in dynamic spine stability when fatigued was observed, as well as a moderate correlation between the level of dynamic stability when rested and a stabilizing response when fatigued. Further analysis of the data on a person-by-person basis revealed three distinct responses in which participants either stabilized, destabilized or had no change in dynamic spine stability when fatigued. Therefore, the mean response of the sample population did not adequately represent the true, meaningful response of individuals within the population. These results illustrate the importance of considering individualized responses when examining dynamic stability measures, and provide preliminary evidence that suggests that individual injury risk cannot be completely captured by measures taken in an unchallenged, rested state., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

This experiment investigates the efficacy of tactile feedback in affecting changes to dynamic spine movements. A sample of (n = 24) young, healthy males were assessed while completing targeted spine flexion movements with instruction to minimize stretching of the skin beneath an applied tactile stimulus (liquid bandage). Localized tactile stimuli were placed bilaterally at either lumbar (L4), lower thoracic (T10) or upper thoracic (T4) levels. Results demonstrate that localized tactile feedback elicited a re-distribution of spine flexion movement across spine sub-sections (e.g. lumbar vs. thoracic) and intervertebral segments (e.g. C7/T1 through L5/S1). Further, tactile feedback successfully limited the magnitude of end-range flexion, but did not limit functional mid-range spine flexion. Finally, tactile feedback located in the lower thoracic region (T10) increased thoracic flexion variability; however, tactile feedback located at the T4 and L4 regions had no significant effect on movement variability. These findings provide evidence that spine neuromuscular control patterns can be altered using simple tactile stimuli. In terms of low back injury prevention and/or rehabilitation, the tactile feedback investigated here has apparent utility in limiting recognized mechanical risk factors for low back injury; specifically, the local incidence of flexion at specific spine levels, and the incidence of end-range flexion.

The purpose of the current work was to quantify the influence of posture-mediated skin deformation on trunk dorsum tactile perceptual sensitivity. Twelve young and healthy individuals were assessed while adopting three different spine postures (extension, neutral and flexion). Tactile sensitivity threshold tests (T10 and L4 vertebral levels) included measures of touch sensitivity, spatial acuity and stretch sensitivity. The results demonstrate that tactile sensitivity can differ due to changes in body posture. The skin of the trunk dorsum had increased thresholds for touch sensitivity, longitudinal spatial acuity and transverse stretch sensitivity in spine flexion. Furthermore, spine flexion also resulted in a reduced sensory threshold to stretching stimuli in the longitudinal direction. The opposite trends occurred when participants adopted spine extension. It is suggested that posture-mediated skin deformation generates changes in the amount of strain experienced by individual skin mechanoreceptors, and the relative spacing between mechanoreceptors. Furthermore, it is suggested that "pre-stretch" of the skin brings mechanoreceptors closer to their stretch activation thresholds, thereby increasing an individual's sensitivity to skin stretch when in spine flexion.

As the most superficial organ, the skin is the most accessible sensory system interfacing one's body and environment. With changes in posture, it is possible that the skin may undergo large deformations resulting in changes in its structural properties. The purpose of the current work was to determine the influence of spine posture on measures of trunk dorsum skin deformation, thickness and hardness in vivo. 28 young and healthy individuals were assessed while holding three static, supported spine postures (prone neutral, spine extension, and spine flexion). Skin stretch deformation was measured across each posture using an 11×9 dot matrix of 3D kinematic markers affixed to the skin of the back. Skin thickness (epidermis + dermis) was quantified using ultrasound images obtained from specific spinal levels (L4, L2, T12 and T10). Skin hardness was measured at the same specific spinal levels using a handheld Shore durometer. During the spine extension posture it was observed that the skin of the trunk dorsum relaxed/retracted on average by 12% to become both ~17% thicker and ~39% softer compared to the neutral prone posture. During the spine flexion posture the skin of the trunk dorsum stretched on average by 38% to become both ~19% thinner and ~106% harder. Additionally, in the spine flexion posture it was clear that the majority of the skin deformation occurred within the lumbar region, while deformation was more evenly distributed in the extension posture. Results also suggest that stretch distributions could be in large part determined by the intervertebral distribution of the overall spine angle, as well as in part due to the local hypodermal/subcutaneous fat and fascia distribution. With such large structural deformations of the skin of the trunk dorsum, it is suggested that corresponding changes in skin tactile sensitivity (e.g. perceptual thresholds of force necessary to elicit a sensation of touch) may be present, and should be investigated through future work. These data will aid in the development of computer models to investigate skin structural deformation (e.g. finite element models or kinematic models that track skeletal structures by accounting for soft tissue artifacts) as well as further applications pertaining to skin sensitivity, and tactile biofeedback across various body postures., (Copyright © 2016 Elsevier Ltd. All rights reserved.)