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Vol.32 No.3 | June 30, 2023

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the Korean Society for Brain and Neural Sciences en Experimental Neurobiology in SCIe As of August 2017 Covered from 2015
2019 Impact Factor 2.370. 2020 Impact Factor 3.261. 2021 Impact Factor 3.800. 2022 Impact Factor 2.4. Bexco, busan, korea

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We report the machine learning-assisted image analysis tool for assessing intracortical axonal plasticity after focal ischemic stroke. Axonal plasticity of the brain is considered to be an underlying mechanism of spontaneous recovery following a stroke. Therefore, precise analysis of intracortical axonal plasticity after a stroke is crucial. Our study developed a machine learning algorithm-based analysis tool to reveal axonal projections after a stroke. Application of this tool revealed substantial axonal sprouting from RFA to the premotor cortex after a focal stroke.