ArticlePloS one2017
Trajectory formation principles are the same after mild or moderate stroke.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Can motion capture improve task-based fMRI studies of motor function post-stroke? A systematic review.Journal of neuroengineering and rehabilitation · 2025Pooled it
- The effects of Ai Chi for balance in individuals with chronic stroke: a randomized controlled trial.Scientific reports · 2020Trial
- Synergy-Based Evaluation of Hand Motor Function in Object Handling Using Virtual and Mixed Realities.Sensors (Basel, Switzerland) · 2025Article
- Novel evaluation of upper-limb motor performance after stroke based on normal reaching movement model.Journal of neuroengineering and rehabilitation · 2023Article
- Estimating Information Processing of Human Fast Continuous Tapping from Trajectories.Entropy (Basel, Switzerland) · 2022Article
- Validity and Reliability of Kinect v2 for Quantifying Upper Body Kinematics during Seated Reaching.Sensors (Basel, Switzerland) · 2022Article
- The reserve of joint torque determines movement coordination.Scientific reports · 2021Article
- A data-driven framework for selecting and validating digital health metrics: use-case in neurological sensorimotor impairments.NPJ digital medicine · 2020Article
- Pattern of improvement in upper limb pointing task kinematics after a 3-month training program with robotic assistance in stroke.Journal of neuroengineering and rehabilitation · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
When we make rapid reaching movements, we have to trade speed for accuracy. To do so, the trajectory of our hand is the result of an optimal balance between feed-forward and feed-back control in the face of signal-dependant noise in the sensorimotor system. How far do these principles of trajectory formation still apply after a stroke, for persons with mild to moderate sensorimotor deficits who recovered some reaching ability? Here, we examine the accuracy of fast hand reaching movements with a focus on the information capacity of the sensorimotor system and its relation to trajectory formation in young adults, in persons who had a stroke and in age-matched control participants. We find that persons with stroke follow the same trajectory formation principles, albeit parameterized differently in the face of higher sensorimotor uncertainty. Higher directional errors after a stroke result in less feed-forward control, hence more feed-back loops responsible for segmented movements. As a consequence, movements are globally slower to reach the imposed accuracy, and the information throughput of the sensorimotor system is lower after a stroke. The fact that the most abstract principles of motor control remain after a stroke suggests that clinicians can capitalize on existing theories of motor control and learning to derive principled rehabilitation strategies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.