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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
3
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pubmed:dateCreated |
1997-6-6
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pubmed:abstractText |
A new method is presented for quantitative evaluation of single-sweep phase and amplitude electro-encephalogram (EEG) characteristics that is a more informative approach in comparison with conventional signal averaging. In the averaged potential, phase-locking and amplitude effects of the EEG response cannot be separated. To overcome this problem, single-trial EEG sweeps are decomposed into separate presentations of their phase relationships and amplitude characteristics. The stability of the phase-coupling to stimulus is then evaluated independently by analyzing the single-sweep phase presentations. The method has the following advantages: information about stability of the phase-locking can be used to assess event-related oscillatory activity; the method permits evaluation of the timing of event-related phase-locking; and a global assessment and comparison of the phase-locking of ensembles of single sweeps elicited in different processing conditions is possible. The method was employed to study auditory alpha and theta responses in young and middle-aged adults. The results showed that whereas amplitudes of frequency responses tended to decrease, the phase-locking increased significantly with age. The synchronization with stimulus (phase-locking) was the only parameter reliably to differentiate the brain responses of the two age groups, as well as to reveal specific age-related changes in frontal evoked alpha activity. Thus, the present approach can be used to evaluate dynamic brain processes more precisely.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Mar
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pubmed:issn |
0340-1200
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
76
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
229-35
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pubmed:dateRevised |
2006-11-15
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pubmed:meshHeading | |
pubmed:year |
1997
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pubmed:articleTitle |
Analysis of phase-locking is informative for studying event-related EEG activity.
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pubmed:affiliation |
Institute of Physiology, Bulgarian Academy of Sciences, Sofia, Bulgaria. kolev@iph.bio.acad.bg
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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