At present, predicting the severity of brain injury caused by global cerebral ischemia/reperfusion injury (GCI/RI) is a clinical problem. After such an injury, clinical indicators that can directly reflect neurological dysfunction are lacking. The change in hippocampal microstructure is the key to memory formation and consolidation. Diffusion tensor imaging is a highly sensitive tool for visualizing injury to hippocampalmicrostructure. Although hippocampal microstructure, brain-derived neurotrophic factor (BDNF), and tropomyosin-related kinase B (TrkB) levels are closely related to nerve injury and the repair process after GCI/RI, whether these indicators can reflect the severity of such hippocampal injury remains unknown. To address this issue, we established rat models of GCI/RI using the four-vessel occlusion method. Diffusion tensor imaging parameters, BDNF, and TrkB levels were correlated with modified neurological severity scores. The results revealed that after GCI/RI, while neurological function was not related to BDNF and TrkB levels, it was related to hippocampal fractional anisotropy. These findings suggest that hippocampal fractional anisotropy can reflect the severity of hippocampal injury after global GCI/RI. The study was approved by the Institutional Animal Care and Use Committee of Capital Medical University, China (approval No. AEEI-2015-139) on November 9, 2015.

Wen-Zhu Wang

China Rehabilitation Science Institute,School of Rehabilitation Medicine,Capital Medical University,Beijing Bo'ai Hospital,China Rehabilitation Research Center,Beijing,China;Beijing Key Laboratory of Neural Injury and Rehabilitation,Beijing,China;Department of Rehabilitation Medicine,Beijing Friendship Hospital,Capital Medical University,Beijing,China;Brainnetome Center,Institute of Automation,Chinese Academy of Sciences,Beijing,China

中国神经再生研究（英文版）

[1]Wen-Zhu Wang-.Diffusion tensor imaging of the hippocampus reflects the severity of hippocampal injury induced by global cerebral ischemia/reperfusion injury)[J].中国神经再生研究（英文版）,2022(04):838-844

hippocampalmicrostructure,AEEI

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