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Updated: Jul 29, 2025
06:37
Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
Published on: July 14, 2023
934
Connectome-based prediction of functional impairment in experimental stroke models
Oliver Schmitt1,2, Peter Eipert1,2, Yonggang Wang3,2,4
1Medical School Hamburg - University of Applied Sciences, Department of Anatomy; University of Rostock, Institute of Anatomy.
Biorxiv : the Preprint Server for Biology
|May 19, 2023
Summary
Stroke and hemorrhage in rats impact motor and spatial memory by altering brain connectivity. This study reveals how injury location and extent predict functional deficits and remote hippocampal changes.
Area of Science:
- Neuroscience
- Systems Neuroscience
- Computational Neuroscience
Background:
- Stroke and hemorrhage models in rats are crucial for understanding cerebrovascular disease.
- The relationship between functional deficits and brain connectivity changes post-stroke remains unclear.
Conclusions:
- Brain injury location and extent significantly influence functional deficits.
- Connectivity changes, particularly in remote regions like the hippocampus, are critical predictors of functional outcomes.
- This study offers a predictive framework for identifying stroke-induced remote functional impairments.
Keywords:
Barnes maze testCatwalk testFitzHugh-Nagumo modelMimura-Murray reaction-diffusion modelWilson-Cowan modelconnectomicsdistal middle cerebral artery occlusion modelintracebral hemorrhage modelladder testleaky integrate-and-fire modelmiddle cerebral artery intraluminal suture occlusion modelnetwork analysisneuroVIISASrotarod
