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

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          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; R 2 = 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.

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          Most cited references26

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          Intracranial Pressure Monitoring: Invasive versus Non-Invasive Methods—A Review

          Monitoring of intracranial pressure (ICP) has been used for decades in the fields of neurosurgery and neurology. There are multiple techniques: invasive as well as noninvasive. This paper aims to provide an overview of the advantages and disadvantages of the most common and well-known methods as well as assess whether noninvasive techniques (transcranial Doppler, tympanic membrane displacement, optic nerve sheath diameter, CT scan/MRI and fundoscopy) can be used as reliable alternatives to the invasive techniques (ventriculostomy and microtransducers). Ventriculostomy is considered the gold standard in terms of accurate measurement of pressure, although microtransducers generally are just as accurate. Both invasive techniques are associated with a minor risk of complications such as hemorrhage and infection. Furthermore, zero drift is a problem with selected microtransducers. The non-invasive techniques are without the invasive methods' risk of complication, but fail to measure ICP accurately enough to be used as routine alternatives to invasive measurement. We conclude that invasive measurement is currently the only option for accurate measurement of ICP.
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            Monitoring and interpretation of intracranial pressure

            M Czosnyka (2004)
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              Ultrasonographic measured optic nerve sheath diameter as an accurate and quick monitor for changes in intracranial pressure.

              Ultrasonographic measurement of the optic nerve sheath diameter (ONSD) is known to be an accurate monitor of elevated intracranial pressure (ICP). However, it is yet unknown whether fluctuations in ICP result in direct changes in ONSD. Therefore, the authors researched whether ONSD and ICP simultaneously change during tracheal manipulation in patients in the intensive care unit (ICU) who have suffered a traumatic brain injury (TBI).
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                Author and article information

                Contributors
                kennfur@shinshu-u.ac.jp
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                13 February 2020
                13 February 2020
                2020
                : 10
                : 2526
                Affiliations
                [1 ]ISNI 0000 0001 1507 4692, GRID grid.263518.b, Department of Neurosurgery, , Shinshu University School of Medicine, ; Matsumoto, Japan
                [2 ]ISNI 0000 0004 0372 3116, GRID grid.412764.2, Department of Neurosurgery, , St. Marianna University School of Medicine, ; Kawasaki, Japan
                Article
                59376
                10.1038/s41598-020-59376-7
                7018690
                32054904
                5dc4e30c-866f-4552-b8f2-1b7935388580
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 12 July 2019
                : 28 January 2020
                Funding
                Funded by: Grants-in-Aid for Scientific Research, Japan 15K10298
                Funded by: FundRef https://doi.org/10.13039/501100001863, New Energy and Industrial Technology Development Organization (NEDO);
                Award ID: A-step FS
                Award Recipient :
                Categories
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                © The Author(s) 2020

                Uncategorized
                neurophysiology,experimental models of disease
                Uncategorized
                neurophysiology, experimental models of disease

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