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@ARTICLE{Kalantari:1041314,
author = {Kalantari, Aref and Hambrock, Carolin and Grefkes,
Christian and Fink, Gereon R. and Aswendt, Markus},
title = {{P}roportional recovery in mice with cortical stroke},
journal = {Experimental neurology},
volume = {386},
issn = {0014-4886},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2025-02213},
pages = {115180 -},
year = {2025},
note = {This work was funded by the Friebe Foundation
(T0498/28960/16) and the Deutsche Forschungsgemeinschaft
(DFG, German Research Foundation) – Project-ID 431549029
– SFB 1451.},
abstract = {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
maleC57Bl/6 J mice with photothrombotic strokes in the
sensorimotor cortex. Lesion size and location were
determinedin the first week using in vivo T2-weighted MRI.
Motor recovery was evaluated repeatedly over four weeksusing
the cylinder, grid walk, and rotating beam test. Recovery
trajectories were analyzed using a newlyformulated Mouse
Recovery Rule (MRR), comparing it against the traditional
PRR. Initial findings indicatedvariable recovery patterns,
which were separated using a stepwise linear regression
approach resulting in twoclusters: 47 $\%$ PRR and 53 $\%$
MRR. No significant correlation was found between recovery
patterns and lesionsize or location, suggesting that other
biological factors drive individual differences in recovery.
Of note, in theMRR 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 thecomplexity of translating the PRR to stroke
recovery models in mice and underscores the need for
species-specificrecovery models. Our findings have
implications for designing and interpreting therapeutic
strategies for strokerecovery in preclinical settings, with
the potential to improve the predictive accuracy of stroke
recoveryassessments.},
cin = {INM-3},
ddc = {610},
cid = {I:(DE-Juel1)INM-3-20090406},
pnm = {5252 - Brain Dysfunction and Plasticity (POF4-525) / DFG
project G:(GEPRIS)431549029 - SFB 1451:
Schlüsselmechanismen normaler und krankheitsbedingt
gestörter motorischer Kontrolle (431549029)},
pid = {G:(DE-HGF)POF4-5252 / G:(GEPRIS)431549029},
typ = {PUB:(DE-HGF)16},
pubmed = {39914643},
UT = {WOS:001426315600001},
doi = {10.1016/j.expneurol.2025.115180},
url = {https://juser.fz-juelich.de/record/1041314},
}