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A Preclinical Model to Assess Brain Recovery After Acute Stroke in Rats
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Recovery Potential After Acute Stroke.

Rüdiger J Seitz1, Geoffrey A Donnan2

  • 1Department of Neurology, Centre of Neurology and Neuropsychiatry, LVR-Klinikum Düsseldorf, Heinrich-Heine-University Düsseldorf , Düsseldorf , Germany ; Biomedical Research Centre, Heinrich-Heine-University Düsseldorf , Düsseldorf , Germany ; Florey Institute of Neuroscience and Mental Health, University of Melbourne , Parkville, VIC , Australia.

Frontiers in Neurology
|December 1, 2015
PubMed
Summary
This summary is machine-generated.

Early thrombolysis and neurorehabilitation are key for acute stroke recovery. Biomarkers like lesion characteristics and network changes predict outcomes, but associated disorders can hinder recovery potential.

Keywords:
cerebral ischemiainfarct locationnetwork reorganizationneurorehabilitative trainingperilesional plasticityrecoverystroke associated disturbancesthrombolysis

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Area of Science:

  • Neurology
  • Neuroscience
  • Rehabilitation Medicine

Background:

  • Acute stroke recovery hinges on early reperfusion and subsequent neurorehabilitation.
  • Post-stroke recovery is influenced by lesion characteristics and brain network alterations.
  • Associated disorders can negatively impact functional deficits and recovery potential.

Purpose of the Study:

  • To review the critical factors influencing acute stroke recovery.
  • To highlight the role of neuroimaging and electrophysiology in identifying recovery biomarkers.
  • To discuss the impact of associated disorders on stroke recovery.

Main Methods:

  • Literature review of studies on acute stroke, thrombolysis, and neurorehabilitation.
  • Analysis of neuroimaging and electrophysiological findings related to stroke recovery biomarkers.
  • Examination of the influence of comorbidities on post-stroke outcomes.

Main Results:

  • Early thrombolysis for arterial recanalization is crucial for initial recovery.
  • Neurorehabilitative training enhances recovery by augmenting postlesional plasticity.
  • Lesion location, volume, affected tracts, and network changes are key recovery biomarkers.

Conclusions:

  • Optimizing early reperfusion and neurorehabilitation is essential for stroke recovery.
  • Understanding lesion characteristics and network dynamics aids in predicting recovery.
  • Managing associated disorders is critical to maximize recovery potential in stroke patients.