Takasugi Yuji, Hishikawa Tomohito, Shimizu Tomohisa, Murai Satoshi, Haruma Jun, Hiramatsu Masafumi, Tokunaga Koji, Takeda Yoshimasa, Sugiu Kenji, Morimatsu Hiroshi, Date Isao
Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
Department of Neurosurgery, Okayama City Hospital, Okayama, Japan.
Sci Rep. 2024 Jan 27;14(1):2277. doi: 10.1038/s41598-024-52527-0.
We analyzed the correlation between the duration of electroencephalogram (EEG) recovery and histological outcome in rats in the acute stage of subarachnoid hemorrhage (SAH) to find a new predictor of the subsequent outcome. SAH was induced in eight rats by cisternal blood injection, and the duration of cortical depolarization was measured. EEG power spectrums were given by time frequency analysis, and histology was evaluated. The appropriate frequency band and recovery percentage of EEG (defined as EEG recovery time) to predict the neuronal damage were determined from 25 patterns (5 bands × 5 recovery rates) of receiver operating characteristic (ROC) curves. Probit regression curves were depicted to evaluate the relationships between neuronal injury and duration of depolarization and EEG recovery. The optimal values of the EEG band and the EEG recovery time to predict neuronal damage were 10-15 Hz and 40%, respectively (area under the curve [AUC]: 0.97). There was a close relationship between the percentage of damaged neurons and the duration of depolarization or EEG recovery time. These results suggest that EEG recovery time, under the above frequency band and recovery rate, may be a novel marker to predict the outcome after SAH.
我们分析了蛛网膜下腔出血(SAH)急性期大鼠脑电图(EEG)恢复持续时间与组织学结果之间的相关性,以寻找后续结果的新预测指标。通过向脑池内注射血液在8只大鼠中诱导SAH,并测量皮质去极化的持续时间。通过时频分析给出EEG功率谱,并评估组织学情况。从25种模式(5个频段×5种恢复率)的受试者操作特征(ROC)曲线中确定用于预测神经元损伤的合适频段和EEG恢复百分比(定义为EEG恢复时间)。绘制概率回归曲线以评估神经元损伤与去极化持续时间和EEG恢复之间的关系。预测神经元损伤的EEG频段和EEG恢复时间的最佳值分别为10 - 15Hz和40%(曲线下面积[AUC]:0.97)。受损神经元的百分比与去极化持续时间或EEG恢复时间之间存在密切关系。这些结果表明,在上述频段和恢复率条件下,EEG恢复时间可能是预测SAH后结果的一个新标志物。