Electroencephalograms features of the early stage Parkinson’s disease
A new method for analyzing the time-frequency dynamics of brain’s background electrical activity is described. It is used to detect at least three main features of Parkinson’s disease (PD) in its early stages: (1) hemispheric asymmetry in the time-frequency characteristics (EEG) in the central recor...
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| Veröffentlicht in: | Pattern recognition and image analysis 2014-12, Vol.24 (4), p.593-604 |
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| creator | Obukhov, Yu. V. Gabova, A. V. Zaljalova, Z. A. Illarioshkin, S. N. Karabanov, A. V. Korolev, M. S. Kuznetsova, G. D. Morozov, A. A. Nigmatullina, R. R. Obukhov, K. Yu Sushkova, O. S. |
| description | A new method for analyzing the time-frequency dynamics of brain’s background electrical activity is described. It is used to detect at least three main features of Parkinson’s disease (PD) in its early stages: (1) hemispheric asymmetry in the time-frequency characteristics (EEG) in the central recording areas of the motor cortex, (2) the emergence in these recording areas of EEG rhythms in the frequency range of 4–6 Hz and its relation to electromyograms (EMG) and the mechanical tremor of contralateral limbs in the case of tremor-dominant PD, and (3) the disruption of the dominant rhythm corresponding to views generally held on the disorganization of different systems in PD. |
| doi_str_mv | 10.1134/S1054661814040166 |
| format | Article |
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V. ; Gabova, A. V. ; Zaljalova, Z. A. ; Illarioshkin, S. N. ; Karabanov, A. V. ; Korolev, M. S. ; Kuznetsova, G. D. ; Morozov, A. A. ; Nigmatullina, R. R. ; Obukhov, K. Yu ; Sushkova, O. S.</creator><creatorcontrib>Obukhov, Yu. V. ; Gabova, A. V. ; Zaljalova, Z. A. ; Illarioshkin, S. N. ; Karabanov, A. V. ; Korolev, M. S. ; Kuznetsova, G. D. ; Morozov, A. A. ; Nigmatullina, R. R. ; Obukhov, K. Yu ; Sushkova, O. S.</creatorcontrib><description>A new method for analyzing the time-frequency dynamics of brain’s background electrical activity is described. It is used to detect at least three main features of Parkinson’s disease (PD) in its early stages: (1) hemispheric asymmetry in the time-frequency characteristics (EEG) in the central recording areas of the motor cortex, (2) the emergence in these recording areas of EEG rhythms in the frequency range of 4–6 Hz and its relation to electromyograms (EMG) and the mechanical tremor of contralateral limbs in the case of tremor-dominant PD, and (3) the disruption of the dominant rhythm corresponding to views generally held on the disorganization of different systems in PD.</description><identifier>ISSN: 1054-6618</identifier><identifier>EISSN: 1555-6212</identifier><identifier>DOI: 10.1134/S1054661814040166</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Application Problems ; Asymmetry ; Brain research ; Computer Science ; Dynamic tests ; Electrodes ; Electroencephalography ; Fourier transforms ; Frequency ranges ; Image Processing and Computer Vision ; Image processing systems ; Methods ; Motors ; Parkinson's disease ; Pathology ; Pattern Recognition ; Recording ; Rhythm ; Studies ; Tremor (Muscular contraction) ; Wavelet transforms</subject><ispartof>Pattern recognition and image analysis, 2014-12, Vol.24 (4), p.593-604</ispartof><rights>Pleiades Publishing, Ltd. 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2646-1d92f1ab7d3dad19488089c26d0474cdf7350ca9ff98d2e0d6ad4624758cbfe53</citedby><cites>FETCH-LOGICAL-c2646-1d92f1ab7d3dad19488089c26d0474cdf7350ca9ff98d2e0d6ad4624758cbfe53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1134/S1054661814040166$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1134/S1054661814040166$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27928,27929,41492,42561,51323</link.rule.ids></links><search><creatorcontrib>Obukhov, Yu. 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| ispartof | Pattern recognition and image analysis, 2014-12, Vol.24 (4), p.593-604 |
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| source | SpringerNature Journals |
| subjects | Application Problems Asymmetry Brain research Computer Science Dynamic tests Electrodes Electroencephalography Fourier transforms Frequency ranges Image Processing and Computer Vision Image processing systems Methods Motors Parkinson's disease Pathology Pattern Recognition Recording Rhythm Studies Tremor (Muscular contraction) Wavelet transforms |
| title | Electroencephalograms features of the early stage Parkinson’s disease |
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