Department of Neurosurgery, Shinshu University School of Medicine, Matsumoto, Japan.
Department of Neurosurgery, St. Marianna University School of Medicine, Kawasaki, Japan.
Sci Rep. 2020 Feb 13;10(1):2526. doi: 10.1038/s41598-020-59376-7.
To understand and control intracranial pressure (ICP) is required for treatments in various clinical situations. To establish non-invasive ICP prediction method, we focused on the natural resonance frequency (NRF) of the brain. The ICP value, pulse waveform of intracranial pressure (PWICP) and cervical carotid pulse waveform (CCPW) were simultaneously collected from patients who underwent neurosurgical treatment. A total of 43 data were obtained from 27 patients. The total measured time was 29,653 seconds and the measured mean ICP value in each data ranged from 3.82 to 69.39 (mean 25.9) hPa. Respiratory synchronized cardiac pulses were selected and following CCPW and PWICP were collected. The transfer characteristics from collected CCPW to PWICP were calculated. The initial negative peak was judged as the NRF of the brain. The relationship between the ICP value and the NRF of the brain was presented on the quadratic functions graph (ICP = 0.0329(NRF) + 0.0842NRF; R = 0.9952). It means that the individual NRF only depends on their ICP value. The ICP value will be predicted by checking NRF of the brain from somewhere.
要理解和控制颅内压（ICP），就需要在各种临床情况下进行治疗。为了建立非侵入性 ICP 预测方法，我们专注于大脑的固有共振频率（NRF）。我们同时从接受神经外科治疗的患者中收集 ICP 值、颅内压脉搏波（PWICP）和颈总动脉脉搏波（CCPW）。从 27 名患者中获得了 43 组数据。总测量时间为 29653 秒，每组数据的测量平均 ICP 值范围为 3.82 至 69.39（平均 25.9）hPa。选择呼吸同步心搏，并采集 CCPW 和 PWICP。从采集的 CCPW 到 PWICP 的传递特性被计算出来。初始负峰被判断为大脑的 NRF。ICP 值与大脑 NRF 的关系以二次函数图表示（ICP=0.0329（NRF）+0.0842NRF；R=0.9952）。这意味着个体的 NRF 仅取决于他们的 ICP 值。通过从某个位置检查大脑的 NRF，可以预测 ICP 值。
