Regular ArticleTopographic Time-Frequency Decomposition of the EEG
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Hilbert spectral analysis of EEG data reveals spectral dynamics associated with microstates
2019, Journal of Neuroscience MethodsDynamic coherence analysis of resting fMRI data to jointly capture state-based phase, frequency, and time-domain information
2015, NeuroImageCitation Excerpt :Coherence can be extended to study of temporal dynamics using time–frequency analysis such as short time Fourier transform (STFT), continuous wavelet transform or empirical mode decomposition (EMD). These methods have been applied widely to EEG and MEG data (Duzel et al., 2003; Koenig et al., 2001; Miwakeichi et al., 2004) and to a smaller extent on fMRI datasets (Song et al., 2014). Mehrkanoon et al. (2014) used time–frequency analysis of coherence of EEG rest data to find the 7 most stable connectivity networks in time–frequency domain using PCA.
Discovering frequency sensitive thalamic nuclei from EEG microstate informed resting state fMRI
2015, NeuroImageCitation Excerpt :Epochs exhibiting residual artifacts (eyes, muscles, etc.) were removed. The cleaned EEG was then subjected to a Topographic Time-Frequency Decomposition (Koenig et al., 2001b). For this purpose, the multichannel EEG data was transformed into the time-frequency domain using complex Gabor-wavelets.
A novel approach to identify time-frequency oscillatory features in electrocortical signals
2015, Journal of Neuroscience MethodsCitation Excerpt :As documented in previous studies (Mouraux et al., 2003; Mouraux and Iannetti, 2008; Peng et al., 2012; Ploner et al., 2006b; Schulz et al., 2011), these oscillatory activities could be optimally explored using time-frequency analysis, which transforms single-trial electrocortical signals into multi-channel TFDs. Even multi-channel TFDs are characterized by the abundance of the recorded signal in temporal, spectral, spatial domains (Durka et al., 2004; Koenig et al., 2001), the mapping between multi-channel TFDs and oscillatory features is not straightforward. In other words, the isolation of time-frequency oscillatory features from multi-channel TFDs is technically difficult.