Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-28T01:44:23.821Z Has data issue: false hasContentIssue false

A New Method of Intracranial Pressure Monitoring by EEG Power Spectrum Analysis

Published online by Cambridge University Press:  02 December 2014

Hui Chen
Affiliation:
Department of Neurology, First Affiliated Hospital, Chongqing Medical University
Jian Wang*
Affiliation:
Department of Neurology, First Affiliated Hospital, Chongqing Medical University
Sizhong Mao
Affiliation:
Department of Neurology, First Affiliated Hospital, Chongqing Medical University
Weiwei Dong
Affiliation:
Second Affiliated Hospital, Department of Neurology, First Affiliated Hospital, Chongqing Medical University
Hao Yang
Affiliation:
College of Electrical Engineering, Chongqing University, Chongqing China
*
Department of Neurology, the Second Affiliated Hospital, Chongqing Medical University, Chongqing, 400010, China. Email: jian.wx@163.com
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Objectives:

To investigate the feasibility of Electroencephalogram (EEG) power spectrum analysis as a noninvasive method for monitoring intracranial pressure (ICP).

Methods:

The EEG signals were recorded in 62 patients (70 cases) with central nervous system (CNS) disorders in our hospital. By using self-designed software, EEG power spectrum analysis was conducted and pressure index (PI) was calculated automatically. Intracranial pressure was measured by lumbar puncture (LP).

Results:

We found a significant negative correlation between PI and ICP (r = -0.849, p < 0.01).

Conclusions:

The PI obtained from EEG analysis is correlated with ICP. Analysis of specific parameters from EEG power spectrum might reflect the ICP.

Type
Original Article
Copyright
Copyright © The Canadian Journal of Neurological 2012

References

1.Czosnyka, M, Pickard, JD.Monitoring and interpretation of intracranial pressure. J Neurol Neurosurg Psychiatry. 2004;75(6):81321.Google Scholar
2.Lundberg, N.Continuous recording and control of ventricular fluid pressure in neurosurgical practice. Acta Psychiatr Neurol Scand. 1960;36(suppl 149):1193.Google Scholar
3.Ghajar, J.Intracranial pressure monitoring techniques. New Horiz. 1995;3(3):3959.Google Scholar
4.Lozier, AP, Sciacca, RR, Romagnoli, MF, et al.Ventriculostomy-related infections: a critical review of the literature. Neurosurgery. 2008;62(Suppl 2):688700.Google Scholar
5.Mayhall, CG, Archer, NH, Lamb, VA, et al.Ventriculostomy-related infections. A prospective epidemiologic study. N Engl J Med. 1984;310(9):5539.Google ScholarPubMed
6.Steiner, LA, Andrews, PJD.Monitoring the injured brain: ICP and CBF. Br J Anaesth. 2006;97(1):2638.Google Scholar
7.Petkus, V, Ragauskas, A, Jurkonis, R.Investigation of intracranial media ultrasonic monitoring model. Ultrasonics. 2002;40(1-8):82933.CrossRefGoogle ScholarPubMed
8.Schmidt, B, Klingelhofer, J, Schwarze, JJ, et al.Noninvasive prediction of intracranial pressure curves using transcranial Doppler ultrasonography and blood pressure curves. Stroke. 1997;28(12):246572.Google Scholar
9.Schoser, BG, Riemenschneider, N, Hansen, HC.The impact of raised intracranial pressure on cerebral venous hemodynamics: a prospective venous transcranial Doppler ultrasonography study. J Neurosurg. 1999;91(5):7449.CrossRefGoogle ScholarPubMed
10.Reid, A, Marchbanks, RJ, Bateman, DE, et al.Mean intracranial pressure monitoring by an audiological technique-a pilot study. J Neurol Neurosurg Psychiatry. 1989;52(5):6102.CrossRefGoogle ScholarPubMed
11.Shimbles, S, Dodd, C, Banister, K, et al.Clinical comparison of tympanic membrane displacement with invasive ICP measurements. Physiol Meas. 2005;26(6):108592.Google Scholar
12.Friedman, D, Claassen, J, Hirsch, LJ.Continuous electroencephalogram monitoring in the intensive care unit. Anesth Analg. 2009;109(2):50623.Google Scholar
13.Otto, KA.EEG power spectrum analysis for monitoring depth of anaesthesia during experimental surgery. Lab Anim. 2008;42(1):4561.CrossRefGoogle ScholarPubMed
14.Czigler, B, Csikós, D, Hidasi, Z, et al.Quantitative EEG in early Alzheimer’s disease patients-power spectrum and complexity features. Int J Psychophysiol. 2008;68(1):7580.Google Scholar
15.Drummond, JC.Monitoring depth of anesthesia: with emphasis on the application of the Bispectral Index and the middle latency auditory evoked response to the prevention of recall. Anesthesiology. 2000;93(3):87682.Google Scholar
16.Balestreri, M, Czosnyka, M, Hutchinson, P, et al.Impact of intracranial pressure and cerebral perfusion pressure on severe disability and mortality after head injury. Neurocrit Care. 2006;4(1):813.CrossRefGoogle ScholarPubMed
17.Contant, CF Jr. Robertson, CS, Crouch, J, et al.Intracranial pressure waveform indices in transient and refractory intracranial hypertension. J Neurosci Methods. 1995;57(1):1525Google Scholar
18.Rauch, ME, Mitchell, PH, Tyler, ML.Validation of risk factors for the nursing diagnosis decreased intracranial adaptive capacity. J Neurosci Nurs. 1990;22(3):1738.CrossRefGoogle ScholarPubMed
19.Fan, JY, Kirkness, C, Vicini, P, et al.An approach to determining intracranial pressure variability capable of predicting decreased intracranial adaptive capacity in patient with traumatic brain injury. Biol Res Nurs. 2010;11(4):31724.Google Scholar
20.Chesnut, RM, Marshall, LF, Klauber, MR, et al.The role of secondary brain injury in determining outcome from severe head injury. J Trauma. 1993;34(2):21622.Google Scholar
21.Lang, EW, Chesnut, RM.Intracranial pressure and cerebral perfusion pressure in severe head injury. New Horiz. 1995;3(3):4009.Google Scholar
22.Resnick, DK, Marion, DW, Carlier, P.Outcome analysis of patients with severe head injuries and prolonged intracranial hypertension. J Trauma. 1997;42(6):110811.Google Scholar