Abstract
Previous research has shown that complex statistical analysis (discriminant function analysis) of a ‘normal’ auditory brainstem response (ABR) result can improve this measure’s ability to predict subject outcome following severe acute closed head injury (ACHI). We hypothesized that adding the ABR’s time-frequency information to such an analysis would improve this predictive value even further. ‘Normal’ ABR results were sampled from 69 severe ACHI subjects (22 of whom died and 47 of whom lived) and their time-frequency information extracted using an over-complete discrete wavelet transformation (OCDWT). A series of logistic regression analyses then showed correct predictions of death and survival as follows: ABR measures only 72 and 89% (respectively), ABR OCDWT measures only 82 and 89% (respectively), and ABR and ABR OCDWT measures combined 86 and 93% (respectively). These results showed that the addition of time-frequency information can improve the ability of the ‘normal’ ABR result to predict outcome following severe ACHI.
References
1.
Akaike H: A new look at the statistical model identification. IEEE Trans Automatic Control 1974;19:716–723.
2.
Bentley PM, McDonnell JTE: Wavelet transforms: an introduction. IEEE Electron Commun Eng 1994;6:175–186.
3.
Blatter C: Wavelets: A Primer. Natick, Mass., A.K. Peters, 1998.
4.
Blinowska KJ, Durka PJ: Introduction to wavelet analysis. Br J Audiol 1997;31:449–459.
5.
Bradley AP, Wilson WJ: On wavelet analysis of auditory evoked potentials. Clin Neurophysiol 2004;115:1114–1128.
6.
Bradley AP, Wilson WJ: Automated analysis of the auditory brainstem response using derivative estimation wavelets. Audiol Neurootol 2005;10:6–21.
7.
Braun JC, Hanley DF, Thakor NV: Detection of neurological injury using time-frequency analysis of the somatosensory evoked potential. Electroencephalogr Clin Neurophysiol 1996;100:310–318.
8.
Burnham KP, Anderson DR: Model Selection and Multimodel Inference: A Practical-Theoretic Approach. New York, Springer, 2002.
9.
Chatrian G, Bergamaco B, Bricolo A, Frost JD, Prior PF: IFCN recommended standards for electrophysiological monitoring in comatose and other non-responsive states. Report of an IFCN committee. Electroencephalogr Clin Neurophysiol 1996;99:103–122.
10.
Chiappa KH, Hill RA: Evaluation and prognostication in coma. Electroencephalogr Clin Neurophysiol 1998;106:149–155.
11.
Cohen A, Kovacevic J: Wavelets: the mathematical background. Proc IEEE 1996;84:514–522.
12.
Daubechies I: Ten Lectures on Wavelets. Philadelphia, Society for Industrial and Applied Mathematics, 1992, vol 61.
13.
Graps A: An Introduction to wavelets. IEEE Comput Sci Eng 1995;2:50–61.
14.
Gray HL, Schucany WR: The Generalised Jackknife Statistic. New York, Dekker, 1972.
15.
Hall JW: Auditory brain stem response spectral content in comatose head-injured patients. Ear Hear 1986;7:383–389.
16.
Hall JW: Auditory evoked responses in the management of acutely brain-injured children and adults. Am J Otol 1988;9(suppl):36–46.
17.
Hall JW: Handbook of Auditory Evoked Responses. Boston, Allyn & Bacon, 1992.
18.
Hess-Nielsen N, Wickerhauser MV: Wavelets and time-frequency analysis. Proc IEEE 1996;84:523–540.
19.
Holschneider M: Wavelets: An Analysis Tool. Oxford, Clarendon Press, 1995.
20.
Jawerth B, Sweldens W: An overview of wavelet-based multiresolution analyses. Siam Rev 1994;36:377–412.
21.
Jennett B, Bond M: Assessment of outcome after severe brain damage. Lancet 1975;i:480–484.
22.
Lannoo E, Van Rietvelde F, Colardyn F, Lemmerling M, Vandekerckhove T, Jannes C, De Soete G: Early predictors of mortality and morbidity after severe closed head injury. J Neurotrauma 2000;17:403–414.
23.
Mallat SG: A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans Pattern Anal 1989;11:674–693.
24.
Mallat SG: A Wavelet Tour of Signal Processing. San Diego, Academic Press, 1999.
25.
Misiti M, Misiti Y, Oppenheim G, Poggi JM: Wavelet Toolbox: For Use with MATLAB. Natick, The Mathworks, 1996.
26.
Moulton RJ: Electrical function monitoring; in Reilly P, Bullock R (eds): Head Injury: Pathophysiology and Management of Severe Closed Injury. London, Chapman & Hall Medical, 1997, pp 229–260.
27.
Narayan RK, Enas GG, Choi SC, Becker DP: Practical techniques for predicting outcome in severe head injury; in Becker DP, Gudeman SK (eds): Textbook of Head Injury. Philadelphia, Saunders, Harcourt Brace Jovanovich, 1989, pp 420–425.
28.
Narayan RK, Greenberg RP, Miller JD, Enas GG, Choi SC, Kishore PRS, Selhorst JB, Lutz HA III, Becker DP: Improved confidence of outcome prediction in severe head injury: a comparative analysis of the clinical examination, MEPs, CT scanning and ICP. J Neurosurg 1981;54:751–762.
29.
R Development Core Team: R: A Language and Environment for Statistical Computing. Vienna, R Foundation for Statistical Computing, 2005.
30.
Samar VJ, Bopardikar A, Rao R, Swartz K: Wavelet analysis of neuroelectric waveforms: a conceptual tutorial. Brain Lang 1999;66:7–60.
31.
Shensa MJ: The discrete wavelet transform: wedding the à trous and Mallat algorithms. IEEE Trans Sig Proc 1992;40:2464–2482.
32.
Soustiel JF, Hafner H, Guilburd JN, Zaaroor M, Levi L, Feinsod M: A physiologic coma scale: grading of coma by combined use of brain-stem trigeminal and auditory evoked potentials and the Glasgow Coma Scale. Electroencephalogr Clin Electroencephalogr 1993;87:277–283.
33.
Stablein DM, Miller JD, Choi SC, Becker DP: Statistical methods for determining prognosis in severe head injury. Neurosurgery 1980;6:243–248.
34.
Strang G, Nguyen T: Wavelets and Filter Banks. Wellesley, Wellesley-Cambridge Press, 1996.
35.
Suzuki T, Aoyagi M, Koike Y: ABR topographic mapping with digital filtering using fast Fourier transform. Acta Otolaryngol 1994;511:61–70.
36.
Thakor NV, Guo XR, Sun YC, Hanley DF: Multiresolution wavelet analysis of evoked potentials. IEEE Trans Biomed Eng 1993;40:1085–1094.
37.
Unser M, Aldroubi A: A review of wavelets in biomedical applications. Proc IEEE 1996;84:626–638.
38.
Wilson WJ: Wavelet analysis for audiologists. Aust NZ J Audiol 2002;24:92–104.
39.
Wilson WJ: The relationship between the auditory brain-stem response and its reconstructed waveforms following discrete wavelet transformation. Clin Neurophysiol 2004;115:1129–1139.
40.
Wilson WJ, Penn C, Saffer D, Aghdasi F: Improving the prediction of outcome in severe acute closed head injury by using discriminant function analysis of normal auditory brainstem response latencies and amplitudes. J Neurosurg 2002;97:1062–1069.
41.
Yokoyama J, Aoyagi M, Suzuki T, Kiren T, Koike Y: Three frequency component waveforms of auditory evoked brainstem response in spinocerebellar degeneration. Acta Otolaryngol 1994;511(suppl):52–55.
© 2006 S. Karger AG, Basel
2006
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