Submovements during reaching movements after stroke

Simó, Lucia S.; Piovesan, Davide; Laczkó, József; Ghez, Claude; Scheidt, Robert S.

doi:10.1109/embc.2014.6944836

Cited by 3 publications

(2 citation statements)

References 17 publications

(25 reference statements)

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“…Finally, to the best of the authors' knowledge, this seems the first study, which proposed the approach (described previously in the paper) to achieve a quantitative rehabilitation outcome for patients with Parkinson's disease considering mainly features extracted by reaching task submovements. In the literature, indeed, very few publications addressing a similar issue can be found: in particular, regarding reaching tasks submovements, we highlight the contributions of Simo et al [47] for post-stroke patients and Carpinella et al for multiple sclerosis subjects [37].…”

Section: Discussionmentioning

confidence: 82%

Statistical Analysis and Kinematic Assessment of Upper Limb Reaching Task in Parkinson’s Disease

Ponsiglione

Ricciardi

Amato

et al. 2022

Sensors

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The impact of neurodegenerative disorders is twofold; they affect both quality of life and healthcare expenditure. In the case of Parkinson’s disease, several strategies have been attempted to support the pharmacological treatment with rehabilitation protocols aimed at restoring motor function. In this scenario, the study of upper limb control mechanisms is particularly relevant due to the complexity of the joints involved in the movement of the arm. For these reasons, it is difficult to define proper indicators of the rehabilitation outcome. In this work, we propose a methodology to analyze and extract an ensemble of kinematic parameters from signals acquired during a complex upper limb reaching task. The methodology is tested in both healthy subjects and Parkinson’s disease patients (N = 12), and a statistical analysis is carried out to establish the value of the extracted kinematic features in distinguishing between the two groups under study. The parameters with the greatest number of significances across the submovements are duration, mean velocity, maximum velocity, maximum acceleration, and smoothness. Results allowed the identification of a subset of significant kinematic parameters that could serve as a proof-of-concept for a future definition of potential indicators of the rehabilitation outcome in Parkinson’s disease.

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Section: Discussionmentioning

confidence: 82%

Statistical Analysis and Kinematic Assessment of Upper Limb Reaching Task in Parkinson’s Disease

Ponsiglione

Ricciardi

Amato

et al. 2022

Sensors

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“…Might moving into a region of greater bias force be more difficult (and less accurate) than moving into a region of lower bias force? Preliminary data suggest that such interactions may indeed arise after stroke [ 20 , 42 ]. Indeed, a recent study of transcutaneous auricular vagus nerve stimulation suggests that this form of non-invasive stimulation can reduce undesired antagonist activations that arise during goal directed reaching when stimulation is applied during the planning of arm extensions [ 2 ].…”

Section: Discussionmentioning

confidence: 99%

Spatial mapping of posture-dependent resistance to passive displacement of the hypertonic arm post-stroke

Kanade-Mehta,

Bengtson,

Stoeckmann

et al. 2023

J NeuroEngineering Rehabil

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Background Muscles in the post-stroke arm commonly demonstrate abnormal reflexes that result in increased position- and velocity-dependent resistance to movement. We sought to develop a reliable way to quantify mechanical consequences of abnormal neuromuscular mechanisms throughout the reachable workspace in the hemiparetic arm post-stroke. Methods Survivors of hemiparetic stroke (HS) and neurologically intact (NI) control subjects were instructed to relax as a robotic device repositioned the hand of their hemiparetic arm between several testing locations that sampled the arm's passive range of motion. During transitions, the robot induced motions at either the shoulder or elbow joint at three speeds: very slow (6°/s), medium (30°/s), and fast (90°/s). The robot held the hand at the testing location for at least 20 s after each transition. We recorded and analyzed hand force and electromyographic activations from selected muscles spanning the shoulder and elbow joints during and after transitions. Results Hand forces and electromyographic activations were invariantly small at all speeds and all sample times in NI control subjects but varied systematically by transport speed during and shortly after movement in the HS subjects. Velocity-dependent resistance to stretch diminished within 2 s after movement ceased in the hemiparetic arms. Hand forces and EMGs changed very little from 2 s after the movement ended onward, exhibiting dependence on limb posture but no systematic dependence on movement speed or direction. Although each HS subject displayed a unique field of hand forces and EMG responses across the workspace after movement ceased, the magnitude of steady-state hand forces was generally greater near the outer boundaries of the workspace than in the center of the workspace for the HS group but not the NI group. Conclusions In the HS group, electromyographic activations exhibited abnormalities consistent with stroke-related decreases in the stretch reflex thresholds. These observations were consistent across repeated testing days. We expect that the approach described here will enable future studies to elucidate stroke's impact on the interaction between the neural mechanisms mediating control of upper extremity posture and movement during goal-directed actions such as reaching and pointing with the arm and hand.

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Inter-Joint Coordination Deficits Revealed in the Decomposition of Endpoint Jerk During Goal-Directed Arm Movement After Stroke

Laczkó

Scheidt

Simó

et al. 2017

IEEE Trans. Neural Syst. Rehabil. Eng.

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It is well documented that neurological deficits after stroke can disrupt motor control processes that affect the smoothness of reaching movements. The smoothness of hand trajectories during multi-joint reaching depends on shoulder and elbow joint angular velocities and their successive derivatives as well as on the instantaneous arm configuration and its rate of change. Right-handed survivors of unilateral hemiparetic stroke and neurologically-intact control participants held the handle of a twojoint robot and made horizontal planar reaching movements. We decomposed endpoint jerk into components related to shoulder and elbow joint angular velocity, acceleration, and jerk. We observed an abnormal decomposition pattern in the most severely impaired stroke survivors consistent with deficits of inter-joint coordination. We then used numerical simulations of reaching movements to test whether the specific pattern of inter-joint coordination deficits observed experimentally could be explained by either a general increase in motor noise related to weakness or by an impaired ability to compensate for multi-joint interaction torque. Simulation results suggest that observed deficits in movement smoothness after stroke more likely reflect an impaired ability to compensate for multijoint interaction torques rather than the mere presence of elevated motor noise.

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Submovements during reaching movements after stroke

Cited by 3 publications

References 17 publications

Statistical Analysis and Kinematic Assessment of Upper Limb Reaching Task in Parkinson’s Disease

Statistical Analysis and Kinematic Assessment of Upper Limb Reaching Task in Parkinson’s Disease

Spatial mapping of posture-dependent resistance to passive displacement of the hypertonic arm post-stroke

Inter-Joint Coordination Deficits Revealed in the Decomposition of Endpoint Jerk During Goal-Directed Arm Movement After Stroke

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