Natural resonance frequency of the brain depends on only intracranial pressure: clinical research

Kazuhiro Hongo,Tetsuya Goto,Kenji Furihata

doi:10.1038/s41598-020-59376-7

Kazuhiro Hongo, Tetsuya Goto + Show 1 more

Open Access

https://doi.org/10.1038/s41598-020-59376-7

Copy DOI

Abstract

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)2 + 0.0842NRF; R2 = 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.

Highlights

To understand and control intracranial pressure (ICP) is required for treatments in various clinical situations
To predict the ICP value from extra-auditory canal pressure waveform (EACPW), for which there is no information of the direct current components included, we focused on the natural resonance frequency (NRF) of the brain
The brain is in an individual NRF and the NRF correlates with the ICP; resonance phenomenon of the brain can be observed with the bump of the arterial pulse in every cardiac pulse

Summary

Introduction

To understand and control intracranial pressure (ICP) is required for treatments in various clinical situations. To predict the ICP value from EACPW, for which there is no information of the direct current components included, we focused on the natural resonance frequency (NRF) of the brain. By extent information about NRF of the brain, idea of non-invasive ICP prediction which was based on human brain tissue resonance frequency correlation with ICP value has been proposed by Michaeli D. et al.[22]. We discovered a simple relationship between the ICP value and the NRF of the brain by the transfer function method using the CCPW and PWICP from our clinical data. By utilising this algorithm, the individual ICP value can be predicted by a patient’s NRF. ICH brain contusion vestibular schwannoma hydrocephalus hydrocephalus brain contusion vestibular schwannoma meningitis subarachnoid hemorrhage meningioma glioma brain contusion

Methods

Results

Discussion

Conclusion