2013
DOI: 10.1111/psyp.12147
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Committee report: Publication guidelines and recommendations for studies using electroencephalography and magnetoencephalography

Abstract: Electromagnetic data collected using electroencephalography (EEG) and magnetoencephalography (MEG) are of central importance for psychophysiological research. The scope of concepts, methods, and instruments used by EEG/MEG researchers has dramatically increased and is expected to further increase in the future. Building on existing guideline publications, the goal of the present paper is to contribute to the effective documentation and communication of such advances by providing updated guidelines for conducti… Show more

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Cited by 567 publications
(486 citation statements)
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References 132 publications
(158 reference statements)
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“…Hence, an equal number of 15 trials (or stimuli) at the beginning and at the end of a lag-adaptation period were considered for analysis. Single trial data were convolved with a 3-cycle Morlet wavelet centered at 1 Hz with a full width at half maximum of the power in the frequency domain of [0.7 Hz, 1.3 Hz] (Keil et al, 2013) (Fig. 2).…”
Section: Phase Analysesmentioning
confidence: 99%
“…Hence, an equal number of 15 trials (or stimuli) at the beginning and at the end of a lag-adaptation period were considered for analysis. Single trial data were convolved with a 3-cycle Morlet wavelet centered at 1 Hz with a full width at half maximum of the power in the frequency domain of [0.7 Hz, 1.3 Hz] (Keil et al, 2013) (Fig. 2).…”
Section: Phase Analysesmentioning
confidence: 99%
“…This method uses a peak-to-peak measure (Rosenfeld, 2011;Rosenfeld et al, 2008;Soskins et al, 2001): in our case, an algorithm searched, on the averaged epoch of a certain stimulus type (as described below), for the maximum average 100 ms segment between 500 and 800 ms, and then, between the midpoint of this segment and 1300 ms, searched again for a minimum average 100 ms segment. The choice of the search window was based on visually inspecting the grand average of all participants, verifying that the P300 peak fell within the specified window (Keil et al, 2014; also cited by Rosenfeld et al, 2015b). The resulting value is the amplitude value of the peak-to-peak P300, which will be referred to as P300pp in the rest of this paper.…”
Section: P300 Measure and Individual Bootstrap Analysismentioning
confidence: 99%
“…The sensor locations corresponding to the two components of interest in this study (the N2/EPN and the P3b) were chosen using a method recommended by Keil et al (2014) to minimize the inflation of type 1 error that would accompany choosing sensors on the basis of the largest signal observed in the entire set of sensors. We first averaged over the three distractor conditions separately for the lag 2 and lag 8 conditions.…”
Section: Data Analysis Proceduresmentioning
confidence: 99%