Äîêóìåíò âçÿò èç êýøà ïîèñêîâîé ìàøèíû. Àäðåñ îðèãèíàëüíîãî äîêóìåíòà : http://www.protein.bio.msu.ru/~akula/JourVND1104007KulaichevLO.pdf
Äàòà èçìåíåíèÿ: Wed Jun 8 15:26:32 2011
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Êîäèðîâêà:
, 2011, 61, 4, . 1­14


612.821.6


© 2011 . . .
, . .. e mail: akula @mail.ru 06.10.2010 . 20.12.2010 . , ( ). ; ; ; ; , ; , 100%. : , , , , , , , , , , , , , .

The Method of Correlation Analysis of EEG Synchronism and its Possibilities
A. P. Kulaichev
Department of Higher Nervous Activity, Moscow State University e mail: akula @mail.ru A new method for estimation of EEG synchronism based on the analysis of correlation between ampli tude modulation processes (envelopes) is considered. The efficiency of the given method is shown in dif ferent aspects: for detection of a topographical pattern, for analysis in frequency ranges, for estimation of stability of the functional state and its changes, for detection of heterogeneous subgroups of subjects and deviations, for analysis of individual and group distinctions and distinctions in synchronism be tween symmetrical pairs of derivations and hemispheric asymmetry, and for classifying division between mentally healthy subjects and deviations of schizophrenic spectrum with reliability approaching 100%. Key words: EEG synchronism, Pearson correlation, amplitude modulation, envelope, filtration, frequency range, topographical pattern, profile of synchronism, functional state, individual and group distinctions, in terhemispheric dominance, factor analysis, discriminant analysis, schizophrenia.

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. 2. rxy ( ­ rxy > 0.2; ­ rxy > 0.6; ­ rxy > 0.8); ­ : ­ ; ­ , . Fig. 2. Three tomograms of EEG synchronism of one subject for standard grid of channels depending on cor relation values rxy ( ­ rxy > 0.2; ­ rxy > 0.6; ­ rxy > 0.8); : correlation profile of examinees: vertical axis ­ correlation values; horizontal axis ­ nearby pairs of electrodes arranged from the left to right and from the top to down depending on its arrangement on a scalp.

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. 3. . Fig. 3. The example of two matrixes of correlation profiles for different groups of examinees and three variants of their comparison.

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1. , Table 1. Correlations between the profiles of EEG synchronization and identical pairs of electrodes calculated for neigh boring frequency domains 1 1 ± . . 0.76 0.81 0.81 0.68 0.73 0.68 ± ± ± ± ± ± 0.11 0.09 0.10 0.12 0.12 0.11 ± . . 0.72 0.82 0.84 0.64 0.65 0.64 ± ± ± ± ± ± 0.13 0.17 0.10 0.12 0.13 0.14 p p p p p p = = = = = = 0.053 0.045 0.14 0.068 0.0006 0.027



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2. , Table 2. Correlation between the profiles of EEG synchronization and identical pairs of electrodes calculated for two neighboring EEG time interval in alpha domain . . 0.899 ± 0.052 0.876 ± 0.044 ± . . 0.895 ± 0.071 0.792 ± 0.084 = 0.385 = 0.00005

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. 5. : ­ < 0.05 ( ­ , ­ ); ­ > 0.6; ­ ( ) ; ­ . Fig. 5. Differences in EEG synchronism in alpha domain between two groups of examinees: a ­ with differences between the pairs of EEG chan nels at significance level < 0.05 (solid lines ­ more EEG synchronism in the norm group, dot ted lines ­ more EEG synchronism in the pathol ogy group); ­ statistically nondistinguished pairs of EEG channels at significance level > 0.6; ­ differences between the symmetric pairs of EEG channels (dominating pairs are shown) in the norm group; ­ differences between the symmet ric pairs of EEG channels in the pathology group.

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1. .., .., .., .. , . . 2005. 31(3). 1­8. 2. .., .. . . . . . 1979. 29(6). 10­71. 3. .., .., .., .. . . . . 2002. 88(10). 1330­ 1342. 4. .. . . 1999. 25(1). 125­133. 5. .., .., .., .. . . . . 2002. 4. 84­95. 6. .., .., .. . . . . . 2005. 55(4). 450­458. 7. .. . . .: ­ , 2006. 512 .


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