Nica Ioana, Deprez Marjolijn, Nuttin Bart, Aerts Jean-Marie
Measure, Model & Manage Bioresponse (M3-BIORES), Department of Biosystems, KU Leuven, Leuven, Belgium.
Research Group Experimental Neurosurgery and Neuroanatomy, KU Leuven, Leuven, Belgium.
Front Behav Neurosci. 2018 Jan 4;11:255. doi: 10.3389/fnbeh.2017.00255. eCollection 2017.
: Neural injury to the motor cortex may result in long-term impairments. As a model for human impairments, rodents are often used to study deficits related to reaching and grasping, using the single-pellet reach-to-grasp task. Current assessments of this test capture mostly endpoint outcome. While qualitative features have been proposed, they usually involve manual scoring. : To detect three phases of movement during the single-pellet reach-to-grasp test and assess completion of each phase. To automatically monitor rat forelimb trajectory so as to extract kinematics and classify phase outcome. : A top-view camera is used to monitor three rats during training, healthy and impaired testing, over 33 days. By monitoring the coordinates of the forelimb tip along with the position of the pellet, the algorithm divides a trial into reaching, grasping and retraction. Unfulfilling any of the phases results in one of three possible errors: miss, slip or drop. If all phases are complete, the outcome label is success. Along with endpoints, movement kinematics are assessed: variability, convex hull, mean and maximum reaching speed, length of trajectory and peak forelimb extension. : The set of behavior endpoints was extended to include miss, slip, drop and success rate. The labeling algorithm was tested on pre- and post-lesion datasets, with overall accuracy rates of 86% and 92%, respectively. These endpoint features capture a drop in skill after motor cortical lesion as the success rate of 59.6 ± 11.8% pre-lesion decreases to 13.9 ± 8.2% post-lesion, along with a significant increase in miss rate from 7.2 ± 6.7% pre-lesion to 50.2 ± 18.7% post-lesion. Kinematics reveals individual-specific strategies of improvement during training, with a common trend of trajectory variability decreasing with success. Correlations between kinematics and endpoints reveal a more complex pattern of relationships during rehabilitation (18 significant pairs of features) than during training (nine correlated pairs). : Extended endpoint outcomes and kinematics of reaching and grasping are captured automatically with a robust computer program. Both endpoints and kinematics capture intra-animal drop in skill after a motor cortical lesion. Correlations between kinematics and endpoints change from training to rehabilitation, suggesting different mechanisms that underlie motor improvement.
运动皮层的神经损伤可能导致长期功能障碍。作为人类功能障碍的模型,啮齿动物常被用于通过单颗粒抓取任务来研究与抓握相关的缺陷。目前对该测试的评估大多关注终点结果。虽然已经提出了一些定性特征,但通常需要人工评分。
在单颗粒抓取测试中检测运动的三个阶段,并评估每个阶段的完成情况。自动监测大鼠前肢轨迹,以便提取运动学特征并对阶段结果进行分类。
使用顶视摄像头在33天内对三只大鼠进行训练、健康测试和损伤测试。通过监测前肢尖端的坐标以及颗粒的位置,该算法将一次试验分为伸手、抓握和缩回三个阶段。任何一个阶段未完成都会导致三种可能的错误之一:未命中、滑落或掉落。如果所有阶段都完成,则结果标签为成功。除了终点,还评估运动学特征:变异性、凸包、平均和最大伸手速度、轨迹长度和前肢伸展峰值。
行为终点集扩展到包括未命中、滑落、掉落和成功率。标记算法在损伤前和损伤后的数据集中进行了测试,总体准确率分别为86%和92%。这些终点特征显示,运动皮层损伤后技能下降,损伤前成功率为59.6±11.8%,损伤后降至13.9±8.2%,同时未命中率从损伤前的7.2±6.7%显著增加到损伤后的50.2±18.7%。运动学揭示了训练过程中个体特定的改善策略,轨迹变异性通常随着成功而降低。运动学与终点之间的相关性表明,康复过程中的关系模式(18对显著相关特征)比训练过程(9对相关特征)更为复杂。
通过一个强大的计算机程序自动捕捉抓取过程中扩展的终点结果和运动学特征。终点和运动学特征均捕捉到运动皮层损伤后动物个体的技能下降。运动学与终点之间的相关性从训练到康复发生变化,表明运动改善背后存在不同的机制。