Dynamical nonstationarity analysis of resting EEGs in Alzheimer's disease

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4985 LNCS, Issue PART 2, 2008, Pages 921-929

  Latchoumane, Charles Francois Vincent ^a   Ifeachor, Emmanuel ^b   Hudson, Nigel ^b   Wimalaratna, Sunil ^b   Jeong, Jaeseung ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b UNIVERSITY OF PLYMOUTH   (United Kingdom)

Author keywords

Alzheimer's disease; Dynamical nonstationarity; EEG; Nonlinear system analysis

Indexed keywords

FORECASTING; NONLINEAR SYSTEMS; SPECTRUM ANALYZERS; TIME SERIES ANALYSIS;

ALZHEIMER'S DISEASE; ALZHEIMER'S DISEASES; BRAIN PROCESSES; BRAIN STATES; COMPLEX SYSTEMS; DYNAMICAL NONSTATIONARITY; EARLY STAGES; EEG; HEALTHY SUBJECTS; NONLINEAR SYSTEM ANALYSIS; NONSTATIONARITY; SEIZURE PREDICTIONS; SPECTRAL ANALYSES; STATIONARITY; TIME SERIES;

ELECTROENCEPHALOGRAPHY;

EID: 54049093280     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69162-4_96     Document Type: Conference Paper

References (31)

1. Wimo, A., Winblad, B., Jonsson, L.: An estimate of the total worldwide societal costs of dementia in 2005. Alzheimers & dementia 3 (2007)
2. Lleo, A., Greenberg, S.M., Growdon, J.H.: Current pharmacotherapy for Alzheimer's disease. Annu. Rev. Med. 57, 513-533 (2006)
3. Braak, H., Braak, E.: Neuropathological stageing of Alzheimer-related changes. Acta Neuropathologica 82(4), 239-259 (1991)
4. Locascio, J.J., Growdon, J.H., Corkin, S.: Cognitive test performance in detecting, staging, and tracking Alzheimer's disease. Archives of Neurology 52(11), 1087-1099 (1995)
5. Fox, N.C., Crum, W.R., Scahill, R.I., Stevens, J.M., Janssen, J.C., Rossor, M.N.: Imaging of onset and progression of Alzheimer's disease with voxel-compression mapping of serial magnetic resonance images. The Lancet 358(9277), 201-205 (2001)
6. Jelic, V., Nordberg, A.: Early diagnosis of Alzheimer disease with positron emission tomography. Alzheimer Dis. Assoc. Disord. 14(suppl. 1), S109-113 (2000)
7. Woon, W.L., Cichocki, A., Vialatte, F., Musha, T.: Techniques for early detection of Alzheimer's disease using spontaneous EEG recordings. Physiol. Meas. 28, 335-347 (2007)
8. Goh, C., Ifeachor, E., Henderson, G., Latchoumane, C., Jeong, J., Bigan, C., Hudson, N., Besleaga, M., Capostosto, P., Wimalaratna, S.: Characterization of EEG at different Stages of Alzheimer's disease. In: Proc. International Congress in Clinical Neurophysiology (ICCN 2006), Edinburgh, Scotland (2006)
9. Jeong, J.: EEG dynamics in patients with Alzheimer's disease. Clin. Neurophysiol. 115(7), 1490-1505 (2004)
10. Pucci, E., Belardinelli, N., Cacchio, G., Signorino, M., Angeleri, F.: EEG power spectrum differences in early and late onset forms of Alzheimer's disease. Clin. Neurophysiol. 110(4), 621-631 (1999)
11. Wada, Y., Nanbu, Y., Kikuchi, M., Koshino, Y., Hashimoto, T., Yamaguchi, N.: Abnormal functional connectivity in Alzheimer's disease: intrahemispheric EEG coherence during rest and photic stimulation. European Archives of Psychiatry and Clinical Neuroscience 248(4), 203-208 (1998)
12. Jeong, J., Gore, J.C., Peterson, B.S.: Mutual information analysis of the EEG in patients with Alzheimer's disease. Clin. Neurophysiol. 112, 827-835 (2001)
13. Jeong, J., Kim, S.Y., Han, S.H.: Non-linear dynamical analysis of the EEG in Alzheimer's disease with optimal embedding dimension. Electroencephalogr Clin Neurophysiol. 106(3), 220-228 (1998)
14. Dikanev, T., Smirnov, D., Wennberg, R., Velazquez, J.L., Bezruchko, B.: EEG nonstationarity during intracranially recorded seizures: statistical and dynamical analysis. Clin. Neurophysiol. 116(8), 1796-1807 (2005)
15. Latchoumane, C.-F.V., Chung, D., Kim, S., Jeong, J.: Segmentation and characterization of EEG during mental tasks using dynamical nonstationarity. In: Proc. Computational Intelligence in Medical and Healthcare (CIMED 2007), Plymouth, England (2007)
16. Wackermann, J., Lehmann, D., Michel, C.M., Strik, W.K.: Adaptive segmentation of spontaneous EEG map series into spatially defined microstates. Int. J. Psychophysiol. 14(3), 269-283 (1993)
17. Lehmann, D., Strik, W.K., Henggeler, B., Koenig, T., Koukkou, M.: Brain electric microstates and momentary conscious mind states as building blocks of spontaneous thinking: I. Visual imagery and abstract thoughts. Int. J. Psychophysiol. 29(1), 1-11 (1998)
18. Linkenkaer-Hansen, K., Nikouline, V.V., Palva, J.M., Ilmoniemi, R.J.: Long-Range Temporal Correlations and Scaling Behavior in Human Brain Oscillations. Journal of Neuroscience 21(4), 1370 (2001)
19. Ulanowicz, R.E.: Complexity, stability and self-organization in natural communities. Oecologia 43(3), 295-298 (1979)
20. Cao, Y., Tung, W.W., Gao, J.B., Protopopescu, V.A., Hively, L.M.: Detecting dynamical changes in time series using the permutation entropy. Phys. Rev. E Stat. Nonlin Soft Matter Phys. 70(4 Pt 2), 046217 (2004)
21. Gao, J.B.: Detecting nonstationarity and state transitions in a time series. Phys. Rev. E Stat. Nonlin Soft Matter Phys. 63(6 Pt 2), 066202 (2001)
22. Schreiber, T.: Detecting and Analyzing Nonstationarity in a Time Series Using Nonlinear Cross Predictions. Physical Review Letters 78(5), 843-846 (1997)
23. Hively, L.M., Gailey, P.C., Protopopescu, V.A.: Detecting dynamical change in nonlinear time series. Physics Letters A 258(2), 103-114 (1999)
24. Gribkov, D., Gribkova, V.: Learning dynamics from nonstationary time series: Analysis of electroencephalograms. Physical Review E 61(6), 6538-6545 (2000)
25. Frey, B.J., Dueck, D.: Clustering by Passing Messages Between Data Points. Science 315(5814), 972 (2007)
26. Greicius, M.D., Krasnow, B., Reiss, A.L., Menon, V.: Functional connectivity in the resting brain: A network analysis of the default mode hypothesis. Proceedings of the National Academy of Sciences 100(1), 253-258 (2003)
27. Bookheimer, S.Y., Strojwas, M.H., Cohen, M.S., Saunders, A.M., Pericak-Vance, M.A., Mazziotta, J.C., Small, G.W.: Patterns of brain activation in people at risk for Alzheimer's disease. N. Engl. J. Med. 343(7), 450-456 (2000)
28. Nestor, P.J., Scheltens, P., Hodges, J.R.: Advances in the early detection of Alzheimer's disease. Nat. Med. 10, S34-41 (2004)
29. Latchoumane, C.-F.V., Lee, D., Lee, K.H., Jeong, J.: Dynamical nonstationarity of the EEG in adolescents with attention-deficit/hyperactivity disorder during cognitive task. In: Proc. European Medical & Biological Engineering Conference (EMBEC 2005), Prague, Czech Republic (2005)
30. Takens, F.: Detecting strange attractors in turbulence. Lecture Notes in Mathematics 898(1), 366-381 (1981)
31. Gautama, T., Mandic, D.P., Van Hulle, M.M.: A differential entropy based method for determining the optimal embedding parameters of a signal. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003 Proceedings (ICASSP 2003), vol. 6 (2003)