The Impact of Motor Task Conditions on Goal-Directed Arm Reaching Kinematics and Trunk Compensation in Chronic Stroke Survivors

Girnis, Jaimie; Agag, Tarek; Nobiling, Tobias; Sweet, Vanessa; Kim, Bokkyu

doi:10.3791/61940

Cited by 2 publications

(3 citation statements)

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“…We had two different target sizes in each task type (large target and small target). Details of the motor task conditions, including task difficulty and type, are described in our previous protocol paper 14 (Fig. 1 ).…”

Section: Methodsmentioning

confidence: 99%

“…Kinematic data were recorded at 100 frames per second (fps). More details on the motion capture system preparation and kinematic data collection are described in our protocol paper 14 .…”

Section: Methodsmentioning

confidence: 99%

“…We calculated the log dimensionless jerk to represent the smoothness of the goal-directed arm reaching trajectory 16 . Trunk compensatory movements were measured using two different measures: (1) trunk displacement (TD) 11 , 12 and (2) shoulder trajectory length (STL) 14 . We calculated TD between movement onset and offset using the trunk (C7) landmark position.…”

Section: Methodsmentioning

confidence: 99%

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Impact of motor task conditions on end-point kinematics and trunk movements during goal-directed arm reach

Kim,

Girnis,

Sweet

et al. 2024

Sci Rep

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Task conditions significantly impact human motor control. We investigated how task type, difficulty, and constraints influence the kinematics of goal-directed arm reaching. Non-disabled young adults performed two distinct goal-directed arm reaching tasks: pointing and picking up an object with chopsticks. These tasks were carried out under various conditions, including constrained and unconstrained elbow extension and two different task difficulties. We collected kinematic data using a 3-D motion capture system and analyzed the effects of different task conditions on kinematic variables using linear mixed-effects regression analysis. Our findings revealed statistically significant differences in kinematics between the two tasks. Arm reaching during the picking-up task was slower and exhibited jerkier movements compared to the pointing task. Additionally, when arm reaching was performed with constrained elbow extension, it led to slower and jerkier movements, with an increased involvement of trunk movements compared to the unconstrained condition. These findings show that complex manipulative motor tasks requiring higher hand dexterity necessitate feedback-based control of arm reaching, but simple pointing tasks requiring less hand dexterity do not. In conclusion, our study sheds light on the influence of task conditions on goal-directed arm reaching kinematics and provides valuable insights into the motor control strategies involved in different tasks.

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Section: Methodsmentioning

confidence: 99%

“…Kinematic data were recorded at 100 frames per second (fps). More details on the motion capture system preparation and kinematic data collection are described in our protocol paper 14 .…”

Section: Methodsmentioning

confidence: 99%