Kalantari, Aref
ORCID: 0000-0003-3050-0930, Hambrock, Carolin
ORCID: 0009-0009-0815-3996, Grefkes, Christian, Fink, Gereon R.
ORCID: 0000-0002-8230-1856 and Aswendt, Markus
ORCID: 0000-0003-1423-0934
(2025).
Proportional recovery in mice with cortical stroke.
Experimental Neurology, 386.
Elsevier.
ISSN 0014-4886
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1-s2.0-S0014488625000445-main.pdf Bereitstellung unter der CC-Lizenz: Creative Commons Attribution Non-commercial. Download (3MB) |
Abstract
[Artikel-Nr. 115180] The proportional Recovery Rule (PRR) has been frequently used to predict recovery of lost motor function in acute stroke patients. However, it still needs to be explored whether the same concept applies to preclinical, i.e. animal models of stroke recovery. To address this question, we investigated behavioral data from 125 adult male C57Bl/6 J mice with photothrombotic strokes in the sensorimotor cortex. Lesion size and location were deter- mined in the first week using in vivo T2-weighted MRI. Motor recovery was evaluated repeatedly over four weeks using the cylinder, grid walk, and rotating beam test. Recovery trajectories were analyzed using a newly formulated Mouse Recovery Rule (MRR), comparing it against the traditional PRR. Initial findings indicated variable recovery patterns, which were separated using a stepwise linear regression approach resulting in two clusters: 47 % PRR and 53 % MRR. No significant correlation was found between recovery patterns and lesion size or location, suggesting that other biological factors drive individual differences in recovery. Of note, in the MRR cluster, animals recovered to 90 % of their initial behavioral state within the first four weeks post-stroke, which is higher than the 70 % recovery usually reported in human PRR studies. This study demonstrates the complexity of translating the PRR to stroke recovery models in mice and underscores the need for species-specific recovery models. Our findings have implications for designing and interpreting therapeutic strategies for stroke recovery in preclinical settings, with the potential to improve the predictive accuracy of stroke recovery assessments.
| Item Type: | Article |
| Creators: | Creators Email ORCID ORCID Put Code Grefkes, Christian UNSPECIFIED UNSPECIFIED UNSPECIFIED |
| URN: | urn:nbn:de:hbz:38-796847 |
| Identification Number: | 10.1016/j.expneurol.2025.115180 |
| Journal or Publication Title: | Experimental Neurology |
| Volume: | 386 |
| Number of Pages: | 1 |
| Date: | April 2025 |
| Publisher: | Elsevier |
| ISSN: | 0014-4886 |
| Language: | English |
| Faculty: | Central Institutions / Interdisciplinary Research Centers Faculty of Medicine |
| Divisions: | Außeruniversitäre Forschungseinrichtungen > Forschungszentrum Jülich Faculty of Medicine > Neurologie > Klinik und Poliklinik für Neurologie |
| Subjects: | Medical sciences Medicine |
| ['eprint_fieldname_oa_funders' not defined]: | Publikationsfonds UzK |
| Refereed: | Yes |
| URI: | http://kups.ub.uni-koeln.de/id/eprint/79684 |
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https://orcid.org/0000-0003-3050-0930