doi:

DOI: 10.3724/SP.J.1042.2018.01349

Advances in Psychological Science (心理科学进展) 2018/26:8 PP.1349-1364

Application of time-frequency analysis in investigating non-phase locked components of EEG


Abstract:
Since the introduction of the time-frequency analysis technique into the field of EEG data in the 1980's, researchers can excavate non-phase locked components in EEG signals, overcoming the previous shortcomings of traditional ERP methods. In the field of psychology, the two most commonly used time-frequency analysis methods are wavelet transform and Hilbert transform. Power, phase locking index (PLI), and coherence are three important indices of time-frequency analysis. Power in different frequency band is typically considered to reflect different mental processes. For example, α power is frequently related to selective attention, while γ energy is often associated with feature binding. Researchers use PLI to investigate the mechanism generated by an ERP component. Coherence indicates the exchange of information between long-distance brain regions and cognitive control of higher-level brain regions in the low-level brain regions, which show different patterns in various complex cognitive tasks.

Key words:time-frequency analysis,wavelet transform,Hilbert transform,power,PLI,coherence

ReleaseDate:2018-08-27 09:44:15



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