Feasibility Study of Electroencephalogram Power Spectrum Analysis Monitoring Noninvasive Intracranial Pressure_West China Medical Journal

Authors：

 GaoPan ¹ , ChenHui ¹ , YangJuan ² , DongWeiwei ³ , YangHao ⁴ ,  WangJian ²

1. Department of Neurology, the Second Affiliated Hospital, Chongqing Medical University, Chongqing 400010, P. R. China;
2. Department of Neurology, the Second People's Hospital of Chengdu City, Chengdu, Sichuan 610041, P. R. China;
3. Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing 400016, P. R. China;
4. School of Electrical Engineering, Chongqing University, Chongqing 400044, P. R. China;

Corresponding author：

WangJian, Email: jian.wx@163.com

Keywords：

Electroencephalogram power spectrum; Pressure index; Noninvasive intracranial pressure

DOI：

10.7507/1002-0179.20160064

Video：

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Abstract Full text Figures/Tables Video References Cited by

Objective To investigate the feasibility of electroencephalography (EEG) power spectrum analysis monitoring noninvasive intracranial pressure (ICP). Methods Between September 2008 and May 2009, the EEG signals were recorded in 62 patients (70 cases/times) with central nervous system (CNS). By using self-designed software, EEG power spectrum analysis was conducted and pressure index (PI) was calculated automatically. ICP was measured by lumbar puncture (LP). Results The mean ICP was (239.74±116.25) mm H₂O (70-500 mm H₂O, 1 mm H₂O=0.009 8 kPa), and 52.9% of patients had increased ICP. The mean PI was 0.29±0.20 (0.02-0.85). The Spearman rank test showed that there was a significant negative correlation between PI and ICP (r_s=-0.849, P<0.01). The data from the patients with diffuse lesions of CNS and focal lesions were analyzed separately; the results showed there were significant negative correlations between PI and ICP in both groups (r_s=-0.815, -0.912; P<0.01). Conclusion The PI obtained from EEG analysis is correlated with ICP. Analysis of specific parameters from EEG power spectrum might reflect the ICP. Further research should be carried out.

Citation： GaoPan, ChenHui, YangJuan, DongWeiwei, YangHao, WangJian. Feasibility Study of Electroencephalogram Power Spectrum Analysis Monitoring Noninvasive Intracranial Pressure. West China Medical Journal, 2016, 31(2): 235-238. doi: 10.7507/1002-0179.20160064 Copy

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1. Czosnyka M, Pickard JD. Monitoring and interpretation of intracranial pressure[J]. J Neurol Neurosurg Psychiatry, 2004, 75(6):813-821.
2. Lundberg N. Continuous recording and control of ventricular fluid pressure in neurosurgical practice[J]. Acta Psychiatr Scand Suppl, 1960, 36(149):1-193.
3. Ghajar J. Intracranial pressure monitoring techniques[J]. New Horiz, 1995, 3(3):395-399.
4. Lozier AP, Sciacca RR, Romagnoli MF, et al. Ventriculostomy-related infections:a critical review of the literature[J]. Neurosurgery, 2002, 51(1):170-181.
5. Mayhall CG, Archer NH, Lamb VA, et al. Ventriculostomy-related infections. A prospective epidemiologic study[J]. N Engl J Med, 1984, 310(9):553-559.
6. Steiner LA, Andrews PJ. Monitoring the injured brain:ICP and CBF[J]. Br J Anaesth, 2006, 97(1):26-38.
7. Petkus V, Ragauskas A, Jurkonis R. Investigation of intracranial media ultrasonic monitoring model[J]. Ultrasonics, 2002, 40(1/8):829-833.
8. 朱建新, 耿凤阳, 李刚. 经颅多普勒超声在重型脑损伤颅内压监测中的应用[J]. 中华创伤杂志, 2007, 23(7):517-518.
9. Kristiansson H, Nissborg E, Bartek J, et al. Measuring elevated intracranial pressure through noninvasive methods:a review of the literature[J]. J Neurosurg Anesthesiol, 2013, 25(4):372-385.
10. Raboel PH, Bartek J, Andresen M, et al. Intracranial pressure monitoring:invasive versus non-invasive methods:a review[J]. Crit Care Res Pract, 2012(12):950393.
11. 刘旸, 王薇薇, 吴逊. 长程脑电图监测对评估昏迷患者预后的应用价值[J]. 中华神经科杂志, 2007, 40(10):667-670.
12. Friedman D, Claassen J, Hirsch LJ. Continuous electroencephalogram monitoring in the intensive care unit[J]. Anesth Analg, 2009, 109(2):506-523.
13. Otto KA. EEG power spectrum analysis for monitoring depth of anaesthesia during experimental surgery[J]. Lab Anim, 2008, 42(1):45-61.
14. Czigler B, Csikós D, Hidasi Z, et al. Quantitative EEG in early Alzheimer's disease patients-power spectrum and complexity features[J]. Int J Psychophysiol, 2008, 68(1):75-80.
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[J]. Anesthesiology, 2000, 93(3):876-882.
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[J]. Neurocrit Care, 2006, 4(1):8-13.
17. Lewis PM, Smielewski P, Rosenfeld JV, et al. Monitoring of the association between cerebral blood flow velocity and intracranial pressure[J]. Acta Neurochir Suppl, 2012, 114:147-151.
18. Contant CF, Robertson CS, Crouch J, et al. Intracranial pressure waveform indices in transient and refractory intracranial hypertension[J]. J Neurosci Methods, 1995, 57(1):15-25.
19. Fan JY, Kirkness C, Vicini P, et al. An approach to determining intracranial pressure variability capable of predicting decreased intracranial adaptive capacity in patients with traumatic brain injury[J]. Biol Res Nurs, 2010, 11(4):317-324.
20. Resnick DK, Marion DW, Carlier P. Outcome analysis of patients with severe head injuries and prolonged intracranial hypertension[J]. J Trauma, 1997, 42(6):1108-1111.
21. 张爱华, 郑崇勋, 顾建文, 等. 颅内压增高皮层脑电的复杂度分析[J]. 兰州大学学报:自然科学版, 2005, 41(5):56-60.

West China Medical Journal

Feasibility Study of Electroencephalogram Power Spectrum Analysis Monitoring Noninvasive Intracranial Pressure

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