Segmental and Intersegmental Coordination Characteristics of a Cognitive Movement Control Test: Quantifying Loss of Movement Choices

Lincoln Blandford, Emily J. Cushion, Ryan Mahaffey
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Abstract

Cognitive movement control tests are hypothesized to reveal reduced coordination variability, a feature of motor behaviour linked to clinical presentations. Exploration of this proposition via kinematic analysis of test pass and fail conditions is yet to be conducted. Kinematics (3D) were collected as 28 participants were qualitatively rated during nine trials of a cognitive movement control test. Ten female and two male participants passing the test were matched to twelve participants who failed (three males, nine females). Sagittal plane pelvis and knee angles were determined. Peak pelvic deviation and knee flexion maxima/minima were compared between groups. Classification tree analysis explored relationships between test failure and pelvis–knee intersegmental coordination strategy classifications derived from novel and traditional vector coding techniques. Coordination variability waveforms were assessed via SPM. Age, BMI, and knee flexion values did not differ between the groups (p > 0.05); however, participants rated as failing the test displayed greater pelvic deviation (p < 0.05). Classification tree analysis revealed a greater use of pelvic dominant intersegmental coordination strategies from both vector coding techniques (p < 0.001) by fail-group participants. The fail-group also displayed lower coordination variability for novel (p < 0.05), but not traditional (p > 0.05) vector coding technique waveforms, supporting the premise that the testing protocol may act as a qualitative approach to inform on features of motor behavior linked to clinical presentations.
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认知运动控制测试的节段和节段间协调特征:量化运动选择的损失
认知运动控制测试被假设为显示协调变异性降低,这是与临床表现相关的运动行为特征。通过测试通过和失败条件的运动学分析来探索这一命题尚待进行。在一项认知运动控制测试的九项试验中,28名参与者被定性评分,收集了运动学(3D)。通过测试的10名女性和2名男性参与者与12名未通过测试的参与者(3名男性,9名女性)相匹配。确定矢状面骨盆和膝盖角度。比较各组之间的峰值骨盆偏移和膝关节屈曲最大值/最小值。分类树分析探讨了测试失败和骨盆-膝盖节段间协调策略分类之间的关系,这些分类源自新的和传统的矢量编码技术。通过SPM评估协调变异性波形。年龄、BMI和膝关节屈曲值在各组之间没有差异(p>0.05);然而,被评定为测试失败的参与者显示出更大的骨盆偏差(p<0.05)。分类树分析显示,失败组参与者更多地使用两种矢量编码技术中的骨盆优势节段间协调策略(p<0.001)。失败组在新的(p<0.05)但不是传统的(p>0.05)矢量编码技术波形方面也表现出较低的协调变异性,这支持了测试方案可以作为一种定性方法来告知与临床表现相关的运动行为特征的前提。
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