Electrical source dynamics in three functional localizer paradigms

Plomp, Gijs; Michel, Christoph M.; Herzog, Michael H.

doi:10.1016/j.neuroimage.2010.06.037

Cited by 42 publications

(47 citation statements)

References 116 publications

(162 reference statements)

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“…It has been shown to give similar results to boundary element head models (Guggisberg et al, 2011). Numerous experimental and clinical studies have shown that this model provides reliable and accurate estimations of intracranial currents (Brodbeck et al, 2009, 2011; Groening et al, 2009; Vulliemoz et al, 2009; Plomp et al, 2010). …”

Section: Methodsmentioning

confidence: 99%

EEG-microstate dependent emergence of perceptual awareness

Britz

Hernàndez

et al. 2014

Front. Behav. Neurosci.

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We investigated whether the differences in perceptual awareness for stimuli at the threshold of awareness can arise from different global brain states before stimulus onset indexed by the EEG microstate. We used a metacontrast backward masking paradigm in which subjects had to discriminate between two weak stimuli and obtained measures of accuracy and awareness while their EEG was recorded from 256 channels. Comparing targets that were correctly identified with and without awareness allowed us to contrast differences in awareness while keeping performance constant for identical physical stimuli. Two distinct pre-stimulus scalp potential fields (microstate maps) dissociated correct identification with and without awareness, and their estimated intracranial generators were stronger in primary visual cortex before correct identification without awareness. This difference in activity cannot be explained by differences in alpha power or phase which were less reliably linked with differential pre-stimulus activation of primary visual cortex. Our results shed a new light on the function of pre-stimulus activity in early visual cortex in visual awareness and emphasize the importance of trial-by-trials analysis of the spatial configuration of the scalp potential field identified with multichannel EEG.

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Section: Methodsmentioning

confidence: 99%

EEG-microstate dependent emergence of perceptual awareness

Britz

Hernàndez

et al. 2014

Front. Behav. Neurosci.

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“…To localize the brain areas underlying crowding, we used the Local Auto Regressive Average inverse solution for EEG (LAURA, Grave de Peralta Menendez et al, 2001;Michel et al, 2004;Plomp et al, 2009Plomp et al, , 2010 as implemented in the Cartool software (Brunet et al, 2011). We used a model identical to Plomp et al (2009Plomp et al ( , 2010 with 4022 source points evenly placed in the MNI 152 brain template.…”

Section: Eeg Recording and Analysismentioning

confidence: 99%

“…We used a model identical to Plomp et al (2009Plomp et al ( , 2010 with 4022 source points evenly placed in the MNI 152 brain template. We performed the following procedure separately for each subject, condition, and frequency.…”

Section: Eeg Recording and Analysismentioning

confidence: 99%

Targets but not flankers are suppressed in crowding as revealed by EEG frequency tagging

Chicherov

Herzog

2015

NeuroImage

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“…The corrected scalar value of the activity at each solution point and for each time frame were submitted to the same procedure as for the waveform analysis (i.e. time point-wise 2 x 4 repeated measures ANOVA with factor presentation (IP vs. RP) and section (S1 vs. S2 vs. S3 vs. S4); (see Ortigue et al, 2005;Plomp et al, 2010;Britz and Michel, 2010;Knebel et al, 2011). To reduce the risk of false positive results arising from multiple tests, we used a node-wise significance threshold of p-value < 0.01, a temporal criterion of >20 consecutive TFs (~39ms), and a spatial criterion of 15 contiguous solution points for significant effects.…”

Section: Source Estimations and Analysesmentioning

confidence: 99%

Neural plasticity associated with recently versus often heard objects

et al. 2012

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In natural settings the same sound source is often heard repeatedly, with variations of the spectro-temporal and spatial characteristics. We have investigated how such repetitions influence sound representations and in particular how the auditory cortex keeps track of recently vs often heard objects. A set of 40 environmental sounds was presented twice, i.e. as prime and as repeat, within each of 16 experimental blocks, while subjects categorized the corresponding sound sources as living vs non-living. Electrical neuroimaging analyses were applied to auditory evoked potentials (AEPs) comparing primes vs repeats (effect of presentation) and the four sections (à 4 blocks each; effect of section). Dynamic analysis of distributed source estimations revealed i) one cluster within the left temporal convexity showing a significant main effect of presentation at 164-215ms post-stimulus onset; and ii) a cluster of significant main effect of section, in the right temporo-parietal junction at 166-213ms. Thus, spatio-temporal dynamics of neural activity encode the temporal history of exposure to sound objects. Rapidly occurring plastic changes within the semantic representations of the left hemisphere keep track of objects heard a few seconds before, independently of the more general sound exposure history. Progressively occurring and more long-lasting plastic changes within networks coding for perceptual, semantic and spatial aspects of sound objects within the right hemisphere keep track of multiple exposures.

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Electrical source dynamics in three functional localizer paradigms

Cited by 42 publications

References 116 publications

EEG-microstate dependent emergence of perceptual awareness

EEG-microstate dependent emergence of perceptual awareness

Targets but not flankers are suppressed in crowding as revealed by EEG frequency tagging

Neural plasticity associated with recently versus often heard objects

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