Nonstationary nature of the brain activity as revealed by EEG/MEG: Methodological, practical and conceptual challenges

Signal Processing - Tập 85 - Trang 2190-2212 - 2005
Alexander Ya. Kaplan1, Andrew A. Fingelkurts2,3, Alexander A. Fingelkurts2,3, Sergei V. Borisov1,4, Boris S. Darkhovsky5
1Human Brain Research Group, Biological Faculty, Moscow State University, Moscow, Russian Federation
2BM-SCIENCE–Brain and Mind Technologies Research Centre, P.O. Box 77, FI-02601, Espoo, Finland
3BioMag Laboratory, Engineering Centre, Helsinki University Central Hospital, P.O. Box 442 FIN-00290 Helsinki, Finland
4Laboratory of Computer and Information Science, Neural Networks Research Centre, Helsinki University of Technology, Finland
5Institute for System Analysis Russian Academy of Sciences, Prosp. 60 Let Oktyabrya 9, Moscow, 117312, Russian Federation

Tài liệu tham khảo

Rose, 1995, Cooperative effects of neuronal ensembles, Exp. Brain Res., 106, 106, 10.1007/BF00241360 Arshavsky, 2003, Cellular and network properties in the functioning of the nervous system: from central pattern generators to cognition, Brain Res. Brain Res. Rev., 41, 229, 10.1016/S0165-0173(02)00249-7 Nunez, 1998, Neocortical dynamics of macroscopic-scale EEG measurements, IEEE Eng. Med. Biol. Mag., 17, 110, 10.1109/51.715494 Bressler, 2001, Cortical coordination dynamics and cognition, Trends Cogn. Sci., 5, 26, 10.1016/S1364-6613(00)01564-3 David, 2004, Evaluation of different measures of functional connectivity using a neural mass model, Neuroimage, 21, 659, 10.1016/j.neuroimage.2003.10.006 Bezzi, 2002, Redundancy and synergy arising from pairwise correlations in neuronal ensembles, J. Comput. Neurosci., 12, 165, 10.1023/A:1016531312091 Kudela, 2003, Changing excitation and inhibition in simulated neural networks: effects on induced bursting behavior, Biol. Cybern., 88, 276, 10.1007/s00422-002-0381-7 Freeman, 2003, Evidence from human scalp electroencephalograms of global chaotic itinerancy, Chaos, 13, 1067, 10.1063/1.1596553 Slutzky, 2002, Identification of determinism in noisy neuronal systems, J. Neurosci. Methods, 118, 153, 10.1016/S0165-0270(02)00029-8 Schoner, 1988, Dynamic pattern generation in behavioral and neural systems, Science, 239, 1513, 10.1126/science.3281253 Friston, 1997, Transients, metastability, and neuronal dynamics, Neuroimage, 5, 164, 10.1006/nimg.1997.0259 Fingelkurts, 2004, Making complexity simpler: multivariability and metastability in the brain, Int. J. Neurosci., 114, 843, 10.1080/00207450490450046 Kelso, 1995 Kaplan, 1998, Nonstationary EEG: methodological and experimental analysis, Usp. Physiol. Nauk (Success in Physiological Sciences), 29, 35 Basar, 2004, Super-synergy in the brain: The grandmother percept is manifested by multiple oscillations, Int. J. Bifurcat. Chaos, 14, 453, 10.1142/S0218127404009272 Klimesch, 1999, Event-related band power changes and memory performance, 161 Nunez, 2000, Toward a quantitative description of large-scale neocortical dynamic function and EEG, Behav. Brain Sci., 23, 371, 10.1017/S0140525X00003253 Effern, 2000, Single trial analysis of event related potentials: non-linear de-noising with wavelets, Clin. Neurophysiol., 111, 2255, 10.1016/S1388-2457(00)00463-6 Fingelkurts, 2002, Probability interrelations between pre-/post-stimulus intervals and ERD/ERS during a memory task, Clin. Neurophysiol., 113, 826, 10.1016/S1388-2457(02)00058-5 Laskaris, 2001, Exploratory data analysis of evoked response single trials based on minimal spanning tree, Clin. Neurophysiol., 112, 698, 10.1016/S1388-2457(00)00560-5 Fingelkurts, 2001, Operational architectonics of the human brain biopotential field: Towards solving the mind-brain problem, Brain Mind, 2, 261, 10.1023/A:1014427822738 Kaplan, 2000, Application of the change-point analysis to the investigation of the brain's electrical activity, 333 An.A. Fingelkurts, Al.A. Fingelkurts, Operational architectonics of perception and cognition: A principle of self-organized metastable brain states, VI Parmenides workshop—Perception and thinking, Institute of Medical Psychology, April 5–10, Elba/Italy (invited full-text contribution), 2003, URL=http://www.bm-science.com/team/art24.pdf. Barlow, 1985, Methods of analysis of nonstationary EEGs, with empahasis on segmentation techniques: A comparative review, J. Clin. Neurophysiol., 2, 267, 10.1097/00004691-198507000-00005 Lehmann, 1987, EEG alpha map series: Brain micro-states by space oriented adaptive segmentation, Electroencephalogr. Clin. Neurophysiol., 67, 271, 10.1016/0013-4694(87)90025-3 Praetorius, 1977, Adaptive segmentation of EEG records: a new approach to automatic EEG analysis, Electroencephalogr. Clin. Neurophysiol., 42, 84, 10.1016/0013-4694(77)90153-5 Jansen, 1979, Usefulness of autoregressive models to classify EEG-segments, Biomed. Tech. (Berl)., 24, 216, 10.1515/bmte.1979.24.9.216 Kaplan, 2000, Spatial synchrony of human EEG segmental structure, Zh. Vyssh. Nerv. Deiat. Im. I.P. Pavlova (I.P. Pavlova J. Higher Nerve Activity), 50, 624 Brodsky, 1999, A nonparametric method for the segmentation of the EEG, Comput. Methods Progams. Biomed., 60, 93, 10.1016/S0169-2607(98)00079-0 Kaplan, 2003, Dynamic properties of segmental characteristics of EEG alpha activity in rest conditions and during cognitive tasks, Zh. Vyssh. Nerv. Deiat Im. I.P. Pavlova (I.P. Pavlov J. Higher Nervous Activity), 53, 22 Kaplan, 1997, Topological mapping of sharp reorganization synchrony in multichannel EEG, Am. J. END Technol., 37, 265 Fell, 2000, EEG analysis with nonlinear deterministic and stochastic methods: a combined strategy, Acta Neurobiol. Exp., 60, 87 Truccolo, 2002, Trial-to-trial variability of cortical evoked responses: Implications for analysis of functional connectivity, Clin. Neurophysiol., 113, 206, 10.1016/S1388-2457(01)00739-8 Fingelkurts, 2004, Local and remote functional connectivity of neocortex under the inhibition influence, Neuroimage, 22, 1390, 10.1016/j.neuroimage.2004.03.013 Thatcher, 1986, Cortico-cortical associations and EEG coherence: a two-compartmental model, Electroencephalogr. Clin. Neurophysiol., 64, 123, 10.1016/0013-4694(86)90107-0 Bullock, 1995, EEG coherence has structure in the millimeter domain: subdural and hippocampal recordings from epileptic patients, Electroencephalogr. Clin. Neurophysiol., 95, 161, 10.1016/0013-4694(95)93347-A Shaw, 1996, EEG coherence: Caution and cognition, Br. Psychophysiol. Soc. Q., 30–31, 7 Shaw, 1984, Correlation and coherence analysis of the EEG: a selective totorial review, Int. J. Psychophysiol., 1, 255, 10.1016/0167-8760(84)90045-X Baccala, 2001, Partial directed coherence: a new concept in neural structure determination, Biol. Cybern., 84, 463, 10.1007/PL00007990 Gross, 2001, Dynamic imaging of coherent sources: Studying neural interactions in the human brain, Proc. Natl. Acad. Sci. USA, 98, 694, 10.1073/pnas.98.2.694 Friston, 2000, Attentional modulation of effective connectivity from V2 to V5/MT in humans, Proc. Natl. Acad. Sci. USA, 97, 7591, 10.1073/pnas.97.13.7591 Tass, 1999 Fingelkurts, 2005, Functional connectivity in the brain—is it an elusive concept?, Neurosci. Biobehav. Rev., 28, 827, 10.1016/j.neubiorev.2004.10.009 Fingelkurts, 2004, Enhancement of GABA-related signalling is associated with increase of functional connectivity in human cortex, Human Brain Mapp., 22, 27, 10.1002/hbm.20014 Bullmore, 2001, Colored noise and computational inference in neurophysiological (fMRI) time series analysis: resampling methods in time and wavelet domains, Hum. Brain Mapp., 12, 61, 10.1002/1097-0193(200102)12:2<61::AID-HBM1004>3.0.CO;2-W Fingelkurts, 2003, Cortical operational synchrony during audio-visual speech integration, Brain Language, 85, 297, 10.1016/S0093-934X(03)00059-2 Fingelkurts, 2003, Structural (operational) synchrony of EEG alpha activity during an auditory memory task, NeuroImage, 20, 529, 10.1016/S1053-8119(03)00305-7 Shishkin, 1997, EEG as a non-stationary signal: an approach to analysis based on non-parametric statistics, Human Physiol. (Fiziol. Cheloveka), 23, 124 S.L. Shishkin, B.S. Darkhovsky, Al.A. Fingelkurts, An.A. Fingelkurts, A.Ya. Kaplan, Interhemisphere synchrony of short-term variations in human EEG alpha power correlates with self-estimates of functional state, In Proceedings of the Ninth World Congress of Psychophysiology, Italy, Tvaormin, Sicily, 1998, p. 133. Pfurtscheller, 1999, Event-related EEG/MEG synchronization and desynchronization: basic principles, Clin. Neurophysiol., 110, 1842, 10.1016/S1388-2457(99)00141-8 S.V. Borisov, Studying of a phasic structure of the alpha activity of human EEG, Ph.D. Thesis, Moscow State University, 2002, p. 213 (in Russian). Burgess, 1997, How reproducible is the topographical distribution of EEG amplitude?, Int. J. Psychophysiol., 26, 113, 10.1016/S0167-8760(97)00759-9 Bullock, 1997, Signals and signs in the nervous system: The dynamic anatomy of electrical activity, Proc. Natl. Acad. Sci. USA, 94, 1, 10.1073/pnas.94.1.1 Kennedy, 1991, Callosal pathways and their compliancy to general rules governing the organization of corticocortical connectivity, Vol. 3, 324 Berlucchi, 1981, Recent advances in the analysis of the neural substrate of interhemispheric communication, 133 Ozaki, 1986, Transverse relationships of the alpha rhythm on the scalp, Electroencephalogr. Clin. Neurophysiol., 66, 191, 10.1016/0013-4694(87)90189-1 Duffy, 1994, Status of quantitative EEG (QEEG) in clinical practice, Clin. Electroencephalogr., 25, VI, 10.1177/155005949402500403 Hori, 1969, A study on phase relationship in human alpha activity. Correlation of different regions, Electroencephalogr. Clin. Neurophysiol., 26, 19, 10.1016/0013-4694(69)90030-3 Creutzfeldt, 1985, Computerized EEG pattern classification by adaptive segmentation and probability density function classification: clinical evaluation, Electroenceph. Clin. Neurophysiol., 60, 373, 10.1016/0013-4694(85)91012-0 Inouye, 1995, A new segmentation method of electroencephalograms by use of Akaike's information criterion, Brain Res. Cogn. Brain Res., 3, 10, 10.1016/0926-6410(95)00016-X Levine, 1963, On synchrony of the alpha rhythms, Aerosp. Med., 34, 349 An.A. Fingelkurts, Time-spatial organization of human EEG segment's structure, Ph.D. Thesis, Moscow State University, 1998, p. 415 (in Russian). Kaplan, 2001, Macrostructural EEG characterization based on nonparametric change point segmentation: application to sleep analysis, J. Neurosci. Methods, 106, 81, 10.1016/S0165-0270(01)00331-4 Tarvainen, 2004, Estimation of nonstationary EEG with Kalman smoother approach: an application to event-related synchronization (ERS), IEEE Trans. Biomed. Eng., 51, 516, 10.1109/TBME.2003.821029 Bodenstein, 1977, Feature extraction from the electroencephalogram by adaptive segmentation, Proc. IEEE, 65, 642, 10.1109/PROC.1977.10543 Friston, 2000, The labile brain. I. Neuronal transients and nonlinear coupling, Philos. Trans. Roy. Soc. London Ser. B, 355, 215, 10.1098/rstb.2000.0560 Fingelkurts, 2005, New perspectives in pharmaco-electroencephalography, Prog. Neuropsychopharm. Biol. Psychiatry, 29, 193, 10.1016/j.pnpbp.2004.11.002 Lehmann, 1984, EEG assessment of brain activity: spatial aspects, segmentation and imaging, Int. J. Psychophysiol., 1, 267, 10.1016/0167-8760(84)90046-1