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Histograms of selected EEG maps sequences

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The aim of the study was analysis of histograms of selected sequences of EEG maps to assess variability of isopotential areas. In clinical practice this variability is evaluated using visual inspection that is subjective and may be difficult in revealing of subtle differences. Variability of isopotential areas is manifested by changes of isopotential areas as well as changes of their topolocalisation. The histograms of total map areas include the information concerning the ispotential area variability, while histogram analysis of particular areas of map may be useful for evaluation of variability of isopotential areas configuration. Basing on the examples containing the period before, during and after generalized seizure activity, the variability of constellations of isopotential areas in EEG maps and related to that diversity of their histogram types were presented. The work includes examples of series of EEG map histograms with their statistical analysis and the description of method used for the quantitative assessment of the histogram series variability for the maps sequences containing seizure activity.
Rocznik
Tom
Strony
19--27
Opis fizyczny
Bibliogr. 17 poz., rys.
Twórcy
  • Nałęcz Institute of Biocybernetics and Biomedical Engineering, PAS, ks. Trojdena 4, 02-109 Warsaw, Poland
Bibliografia
  • [1] DUFFY F.H., Topographic Mapping of Brain Electric Activity, Boston: Butterworth, 1986
  • [2] DUFFY FH., BARTELS P.H., BURCHFIEL J.L., Significance probability mapping: an aid in the topographic analysis of brain electrical activity, Electroencephalogr Clin Neurophysiol, Vol. 51, No. 5, 1981, pp. 455-62.
  • [3] GOSZCZYŃSKA H., DOROS M., KOWALCZYK L., KOLEBSKA K., DEC S., ZALEWSKA E., MISZCZAK J., Relationships between Isopotential Areas in EEG Maps before, during and after the Seizure Activity, In: Information Technologies in Biomedicine PIETKA E., KAWA J. (Eds.), Springer-Verlag, Berlin, Heidelberg, 2008, pp. 315-324.
  • [4] GOSZCZYŃSKA H., KOWALCZYK L., DOROS M., KOLEBSKA K., JÓŹWIK A., DEC S., ZALEWSKA E., MISZCZAK J., Analysis of variability of isopotential areas features in sequences of EEG maps, In: Computer Recognition Systems 3, KURZYŃSKI M., WOŹNIAK M., (Eds.), Advances in Intelligent and Soft Computing 57, Springer-Verlag, Berlin, Heidelberg, 2009, pp. 407-414.
  • [5] GOSZCZYNSKA H., DOROS M., KOWALCZYK L., HOSER P., KOLEBSKA K., Analysis of Dispersion of Isopotential Areas Values in EEG Maps Sequences, R. BURDUK et al. (Eds.): Computer Recognition Systems 4, AISC 95, Springer-Verlag Berlin Heidelberg, 2011, pp. 549–557.
  • [6] KOWALCZYK L., Analysis of brain bioelectric activity dynamics under stimulation utilising signal similarity evaluation methods PhD Thesis, Institute of Biocybernetics and Biomedical Engineering Polish Academy of Sciences, Warsaw, 2006, (in polish).
  • [7] KOWALCZYK L., DEC S., ZALEWSKA E., MISZCZAK J., Progress on a Study of Spontaneous EEG Activity in Records of Epilepsy Patients with Interictal Discharges and Epileptiform Discharges In Healthy Subjects. 7th European Congress on Epileptology, Helsinki, 2006, Epilepsia 47 (s3), pp. 48.
  • [8] KOWALCZYK L., ZALEWSKA, E., MISZCZAK J., DEC S., New criteria for the differentiation between spontaneous EEG in records with seizure activity in healthy subjects and epileptic patients, Proc of 53 International Congress of Aviation and Space Medicine, Warsaw, 2005, pp. 26.
  • [9] LEHMANN D., PASCUAL-MARQUI R.D., MICHEL C., EEG_microstates, Scholarpedia, Vol. 4, No. 3, 2009, pp. 7632, http://www.scholarpedia.org/article/EEG_microstates.
  • [10] LEHMANN D., From mapping to the analysis and interpretation of EEG/EP maps, In: MAURER K., (ed.) Topographic Brain Mapping of EEG and evoked potentials, Springer, 1989, pp. 53-75.
  • [11] LI L., YAO D., A new method of spatio-temporal topographic mapping by correlation coefficient of k-means cluster, Brain Topography, Vol. 19, No. 4, 2007, pp. 161-176.
  • [12] LOPES da SILVA F., Computer-Assisted EEG Diagnosis: Pattern Recognition and Brain Mapping, In: NIEDERMEYER E., LOPES da SILVA F., (ed.) Electroencephalography, Basic Principles, Clinical Applications, and Related Fields, 5th Edition, Lippincott Williams & Wilkins, Philadelphia, 2005, pp. 1252-1256.
  • [13] MORIHISA J.M., DUFFY F.H., WYATT R.J., Brain electrical activity mapping (BEAM) in schizophrenic patients, Arch Gen Psychiatry, Vol. 40, No. 7, 1983, pp. 719-728.
  • [14] MURRAY M.M., BRUNET D., MICHEL C.M., Topographic ERP Analyses: A Step-by-Step Tutorial Review, Brain Topogr., Vol. 20, 2008, pp. 249–264.
  • [15] TATSUNO J., ASHIDA H., TAKAO A., Objective evaluation of differences in patterns of EEG topographical maps by Mahalanobis distance, Electroen Clin Neuro, Vol. 69, 1988, pp. 287-290.
  • [16] WACKERMAN J., LEHMANN D., MICHEL C.M., STRIK W.K., Adaptive segmentation of spontaneous EEG map series into spatially defined microstates, Int J Psychophysiol, Vol. 14, 1993, pp. 269-283.
  • [17] WALERJAN P., First derivation of EEG amplitude – new parameter in EEG mapping, Epileptologia, Vol. 8, No. 1, 2000, pp. 1-88.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0025-0002
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