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

Cognitive decline is a significant long-term consequence of stroke with no available treatments. To aid in therapy development, we sought to achieve robust detection of cognitive performance after stroke in a multi-site design. Ischemic stroke was induced in adult and middle-aged male C57BL/6 mice utilizing permanent distal middle cerebral artery occlusion (dMCAO), dMCAO with hypoxia or transient MCAO by filament insertion. Cognitive outcomes were assessed by Novel Object Recognition (NOR) and Barnes Maze (BM) tests prior to surgery, and during sub-acute (1-2 weeks) and chronic (8 weeks) phases post-stroke. Histology and immunostaining were used to assess infarct size, tissue damage and neuronal loss, and plasma neurofilament light chain levels were quantified. We did not detect a cognitive deficit using NOR, but detected significantly worse performance in dMCAO mice with the BM. Multi-site BM validation will be a key next step. Overall, our study highlights common challenges in detecting post-stroke cognitive impairment within the pre-clinical stroke community, and underscores the complexities of designing and executing these studies, particularly as applied to a multi-site structure. We provide recommendations and suggest important considerations for future stroke cognition studies, whether operating as an individual lab or a multi-site group.

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Publication Details

Journal
Journal of Cerebral Blood Flow & Metabolism
Published
2025-12-07
DOI
https://doi.org/10.1177/0271678x251400241
Citations
1
Primary Topic
Neuroinflammation and Neurodegeneration Mechanisms
Type
article
Field-Weighted Citation Impact
0.84

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article

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

Daniel Berchtold, Stuart M. Allan, Sanna Loppi, Marı́a A. Moro et al.
1 citations
Journal of Cerebral Blood Flow & Metabolism
Neuroinflammation and Neurodegeneration Mechanisms
0.84
article

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

Daniel Berchtold, Stuart M. Allan, Sanna Loppi, Marı́a A. Moro, Marion S. Buckwalter, Gaia Brezzo, Dana Straus, Barry W. McColl, María Isabel Cuartero, Rachel H. Crumpacker, Danielle A. Becktel, Josef Anrather, Claudia Dames, Andreas Meisel, Jennifer E. Goertz, Kristian P. Doyle, Alicia García‐Culebras, Jill H. Fowler, Kristy Zera, Jennifer B. Frye
article en
1 citations

Abstract

Cognitive decline is a significant long-term consequence of stroke with no available treatments. To aid in therapy development, we sought to achieve robust detection of cognitive performance after stroke in a multi-site design. Ischemic stroke was induced in adult and middle-aged male C57BL/6 mice utilizing permanent distal middle cerebral artery occlusion (dMCAO), dMCAO with hypoxia or transient MCAO by filament insertion. Cognitive outcomes were assessed by Novel Object Recognition (NOR) and Barnes Maze (BM) tests prior to surgery, and during sub-acute (1-2 weeks) and chronic (8 weeks) phases post-stroke. Histology and immunostaining were used to assess infarct size, tissue damage and neuronal loss, and plasma neurofilament light chain levels were quantified. We did not detect a cognitive deficit using NOR, but detected significantly worse performance in dMCAO mice with the BM. Multi-site BM validation will be a key next step. Overall, our study highlights common challenges in detecting post-stroke cognitive impairment within the pre-clinical stroke community, and underscores the complexities of designing and executing these studies, particularly as applied to a multi-site structure. We provide recommendations and suggest important considerations for future stroke cognition studies, whether operating as an individual lab or a multi-site group.

Journal of Cerebral Blood Flow & Metabolism
Universidad Complutense de Madrid (ES), University of Arizona (US), Cornell University (US), Manchester Academic Health Science Centre (GB), University of Manchester (GB), Humboldt-Universität zu Berlin (DE), MIND Research Institute (US), UK Dementia Research Institute (GB), Spanish National Centre for Cardiovascular Research (ES), Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), Weill Cornell Medicine (US), Stanford University (US), University of Edinburgh (GB)
Alzheimer's Association, American Heart Association, Deutsche Forschungsgemeinschaft, UK Dementia Research Institute, Medical Research Council, European Regional Development Fund, Agencia Estatal de Investigación
Openalex Percentile: Top 19%
Neuroinflammation and Neurodegeneration Mechanisms
0.84
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