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Related Experiment Video

Updated: May 9, 2026

The Impact of Motor Task Conditions on Goal-Directed Arm Reaching Kinematics and Trunk Compensation in Chronic Stroke Survivors
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Distinct Disconnection Patterns Explain Task-Specific Motor Impairment and Outcome After Stroke.

Frauke Esser1, Theresa Paul1, Elizabeth Rizor2,3

  • 1Medical Faculty, University of Cologne, and Department of Neurology, University Hospital Cologne, Germany (F.E., T.P., E.B., L.H., A.K.R., C.R., A.S., G.R.F., L.J.V.).

Stroke
|May 20, 2025
PubMed
Summary
This summary is machine-generated.

Stroke recovery involves distinct brain network disruptions. Initial motor deficits and long-term outcomes depend on specific white matter connection patterns, highlighting the brain

Keywords:
brain imagingmotor cortexmotor skillsrecovery of functionstroke

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Area of Science:

  • Neuroscience
  • Neurology
  • Brain Connectivity

Background:

  • Stroke is increasingly viewed as a network disorder affecting white matter connectivity.
  • Previous studies show post-stroke motor deficits linked to sensorimotor and nonsensorimotor network damage.
  • The distinct disconnection patterns underlying initial impairment versus long-term outcome remain unclear.

Purpose of the Study:

  • To investigate if task-specific initial motor impairment and long-term outcome after stroke arise from distinct brain disconnection patterns.
  • To identify specific structural connectivity disruptions associated with upper limb motor deficits in subacute stroke patients.
  • To explore the predictive power of connectome-based lesion-symptom mapping for motor recovery.

Main Methods:

  • Included 113 subacute stroke patients with lesion data and upper limb motor assessments.
  • Employed connectome-based lesion-symptom mapping using a normative structural connectome.
  • Utilized machine learning to predict individual motor impairment and >3-month outcomes.

Main Results:

  • Identified task-specific disconnection patterns predicting initial motor impairment and outcome.
  • A task-general reach-to-grasp network involved both sensorimotor and nonsensorimotor areas.
  • Disconnections for basal motor control prediction differed significantly between initial impairment and chronic-stage outcome, with time- and task-dependent interhemispheric changes.

Conclusions:

  • Distinct disconnection patterns predict specific aspects of motor impairment and outcome post-stroke.
  • The contralesional hemisphere plays a time- and task-dependent role in recovery, with nonsensorimotor temporal areas potentially aiding compensation.
  • Differences in predictive disconnection patterns suggest basal motor control relies on brain structural reserve during recovery, supporting connectome mapping's clinical potential.