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Updated: Jun 16, 2026

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Assessing post-stroke cognition in pre-clinical models: Lessons and recommendations from a multi-center study.

Gaia Brezzo1,2, Kristy A Zera3, Dana E Straus1,2

  • 1UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK.

Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism
|December 8, 2025
PubMed
Summary
This summary is machine-generated.

Detecting cognitive deficits after stroke in mice is challenging. While the Novel Object Recognition test showed no deficit, the Barnes Maze revealed significant impairment in mice with stroke, highlighting the need for multi-site validation.

Keywords:
Cognitive behavioral testingmulti-center trialneurofilament light chain levelspost-stroke cognitive impairmentstroke

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Area of Science:

  • Neuroscience
  • Stroke Research
  • Cognitive Impairment

Background:

  • Cognitive decline is a major long-term consequence of stroke.
  • Currently, no effective treatments exist for post-stroke cognitive impairment.
  • Robust detection of cognitive performance is crucial for developing new therapies.

Purpose of the Study:

  • To establish a reliable method for detecting cognitive performance deficits after stroke in a multi-site research setting.
  • To evaluate the effectiveness of different stroke induction methods on cognitive function.
  • To identify challenges and provide recommendations for future pre-clinical stroke cognition studies.

Main Methods:

  • Ischemic stroke was induced in mice using permanent distal middle cerebral artery occlusion (dMCAO) or transient MCAO.
  • Cognitive function was assessed using Novel Object Recognition (NOR) and Barnes Maze (BM) tests at various time points post-stroke.
  • Histology, immunostaining, and plasma neurofilament light chain levels were used to evaluate brain damage.

Main Results:

  • The Novel Object Recognition test did not detect significant cognitive deficits.
  • The Barnes Maze test revealed significantly worse performance in mice that underwent dMCAO.
  • Histological analysis confirmed varying degrees of tissue damage and neuronal loss based on stroke model.

Conclusions:

  • The Barnes Maze test shows promise for detecting post-stroke cognitive deficits in pre-clinical models, but requires multi-site validation.
  • Detecting cognitive impairment after stroke presents significant challenges, particularly in multi-site studies.
  • Standardized methodologies and careful study design are essential for future pre-clinical stroke cognition research.