2014
DOI: 10.1016/j.neuropsychologia.2013.10.022
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An objective index of individual face discrimination in the right occipito-temporal cortex by means of fast periodic oddball stimulation

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Cited by 209 publications
(381 citation statements)
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“…This procedure yielded EEG spectra with a high frequency resolution (1/39.996 s = 0.025 Hz), increasing SNR (22) and allowing unambiguous identification of the response at the exact frequencies of interest (i.e., 6 Hz for the base stimulation rate and 1.2 Hz and its harmonics for the oddball stimulation). To estimate SNR across the EEG spectrum, amplitude at each frequency bin was divided by the average amplitude of 20 surrounding bins (10 on each side) (49). To quantify the responses of interest in microvolts, the average voltage amplitude of the 20 surrounding bins (i.e., the noise) was subtracted out (e.g., ref.…”
Section: Methodsmentioning
confidence: 99%
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“…This procedure yielded EEG spectra with a high frequency resolution (1/39.996 s = 0.025 Hz), increasing SNR (22) and allowing unambiguous identification of the response at the exact frequencies of interest (i.e., 6 Hz for the base stimulation rate and 1.2 Hz and its harmonics for the oddball stimulation). To estimate SNR across the EEG spectrum, amplitude at each frequency bin was divided by the average amplitude of 20 surrounding bins (10 on each side) (49). To quantify the responses of interest in microvolts, the average voltage amplitude of the 20 surrounding bins (i.e., the noise) was subtracted out (e.g., ref.…”
Section: Methodsmentioning
confidence: 99%
“…Based on the grand-averaged amplitude spectrum for each condition, Z scores were computed at every channel to assess the significance of the response at the oddball frequency and harmonics, and at the base rate and harmonics (24,49). Z scores larger than 2.58 (P < 0.005, one-tailed, signal > noise) were considered significant.…”
Section: Methodsmentioning
confidence: 99%
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“…Faceselective responses significantly above noise level at the face stimulation frequency (1.2 Hz) and its harmonics (2.4, 3.6 Hz, etc.) were determined by transforming the frequency spectra to z scores (45,69). The z scores were computed as the difference between amplitude at each frequency bin and the mean amplitude of the corresponding 48 surrounding bins (25 bins on each side, i.e., 50 bins, but excluding the 2 bins directly adjacent to the bin of interest, i.e., 48 bins) divided by the SD of amplitudes in the corresponding 48 surrounding bins.…”
Section: Intracerebral Eeg Analysismentioning
confidence: 99%
“…Most recently, Liu-Shuang et al [21] used FPVS to measure the discrimination of individual faces by presenting a sequence of identical face stimuli at a fast periodic rate (base frequency = F, 5.88 Hz) and introducing different (“oddball”) face stimuli at a slower periodic rate within the sequence (i.e., 1 novel face after 4 identical faces; Figure 1A; see also Figure one in [21]). In this study, a robust individual face discrimination response was recorded over the right occipito-temporal cortex, specifically at the oddball frequency rate (5.88 Hz/5 = 1.18 Hz, corresponding to every 5th novel face) and its harmonics (e.g., 2F/5 = 2.36 Hz, etc.…”
Section: Introductionmentioning
confidence: 99%