18 and older, any sex, with Stroke or Sensorimotor Impairment. Patients with the condition only — healthy volunteers not accepted.
Results — posted to ClinicalTrials.gov
Per-arm endpoint measurements with 95% confidence intervals where reported. Source: trial results section.
Learning Rate as Indexed by Change in the Precision of Visuomotor Grip Force Adjustment (i.e., Reduction of Precision Error in Force Adjustment)Primary· Pre Learning Session and Post Learning Session (approximately 90 minutes)
Isometric whole-hand grip force is captured continuously with grip-force transducers (at 1000Hz) and adjusted relative to the individual maximum voluntary contraction.
Precision of force adjustment is based on the recorded muscle force monitored during task performance and defined as the actual force exerted by the participant relative to the target force (measurement unit: precision in %), with positive values indicating over- and negative values indicating undershoot. Learning rate from before to after learning will be defined as the difference in precision between before as compared to aft
Group
Value
95% CI
stroke group
-1.48
-72.6 – 45.9
control group
0.303
-16.9 – 12.4
Change in Blood-oxygen-level-dependent (BOLD) Signal Derived Multi-voxel Brain ActivationPrimary· Pre Learning Session and Post Learning Session (approximately 90 minutes)
Learning-related BOLD-signal-derived brain activation relative to motor performance.
Group
Value
95% CI
stroke group
2.6
1.1 – 4.2
control group
3.25
1.8 – 4.75
Adverse events — posted to ClinicalTrials.gov
Time frame: Adverse event data was collected for the duration of the experimental procedures (approximately 4 individual visits within 2 consecutive weeks)..
Reporting threshold: 1%.
Adverse-event reports describe events observed during the trial — not all are caused by the drug.
After a stroke, plasticity occurs in the brain from microscopic to network level with positive but also negative consequences for functional recovery. Why post-stroke plasticity takes a beneficial or a maladaptive direction is still incompletely understood. Because the biological mechanisms underlying sensorimotor learning parallel those observed during recovery, learning mechanisms could be potential modifiers of post-stroke neuroplasticity and have a discrete mal-/adaptive impact on the recovery of sensorimotor function. This project seeks to further the understanding of the link between brain circuits that control the integration of new information during procedural learning in the injured brain and those circuits that are involved in adaptive plastic changes during recovery of sensorimotor function post-stroke. The project's methodological approach will allow the characterization of procedural learning-related neural network dynamics based on functional magnetic resonance imaging (MRI) in human volunteers with and without neurologically impairment post-stroke. Through multivariate integration of behavioral and biological descriptors of sensorimotor recovery, the project will investigate the association between motor learning-related network dynamics and descriptors of recovery.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
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Sponsor: as reported to ClinicalTrials.gov by Medical University of South Carolina
Last refreshed: 20 October 2025
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05511467.