Artifact Correction of the Ongoing EEG Using Spatial Filters Based on Artifact and Brain Signal Topographies

Ille, Nicole; Berg, Patrick; Scherg, Michael

doi:10.1097/00004691-200203000-00002

Cited by 695 publications

(465 citation statements)

References 21 publications

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“…Data were re-referenced to average reference and corrected for eye blinks using the topographic correction algorithm implemented in BESA (Ille et al 2002). Remaining artifacts were rejected individually whenever necessary.…”

Section: Resultsmentioning

confidence: 99%

Something always sticks? how emotional language modulates neural processes involved in face encoding and recognition memory

Kißler¹,

Strehlow

2017

Poznan Studies in Contemporary Linguistics

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AbstractLanguage can serve to constrain cognitive and emotional representations. Here, we investigate to what extent linguistic emotional information alters processing of faces with neutral expressions. Previous studies have shown that cortical processing of emotional faces differs from that of neutral faces. Electroencephalography (EEG) has revealed emotion effects for early and late event-related potentials (ERPs) such as the N1, the Early Posterior Negativity (EPN) and the Late Positive Potential (LPP). In order to study the effect of language information on face processing, 30 negative and 30 neutral descriptive phrases were presented, each followed by a neutral expression face. Participants were instructed to remember the association. We analyzed the immediate effect of information type on face processing during encoding as well as delayed effects during subsequent recognition. During encoding, faces following negative language information elicited a larger left frontal positivity between 500–700 ms after stimulus onset. During recognition, a left centro-parietal LPP was likewise increased for faces previously associated with a negative description. In addition, the parietal old/new effect was significantly increased for faces with negative information compared to new ones, while no significant effect was observed for faces with neutral information. No information effects on early perceptual ERPs (N1, EPN) were found. Reaction times (RTs) for source memory decisions (negative versus neutral) were significantly shorter for faces with negative versus neutral information. In sum, ERP results indicate that emotional significance can be linguistically induced in faces on a cortical level and, at least in an explicit memory task, this information modulates later stages of face processing and memory. Implications for cognitive effects of public media design are discussed.

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Section: Resultsmentioning

confidence: 99%

Something always sticks? how emotional language modulates neural processes involved in face encoding and recognition memory

Kißler¹,

Strehlow

2017

Poznan Studies in Contemporary Linguistics

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“…The EEG was corrected for eye movements using calibration data to generate individual artifact coefficients and adaptive spatial filtering as implemented in BESA (v5.1.8, MEGIS Software; for details, see ref. 36). Remaining artifacts were excluded from analysis by careful visual inspection; the average maximum amplitude thereby retained was 79.6 μV.…”

Section: Methodsmentioning

confidence: 99%

Stimulus-dependent EEG activity reflects internal updating of tactile working memory in humans

Spitzer

Blankenburg

2011

Proc. Natl. Acad. Sci. U.S.A.

102

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Despite recent advances in uncovering the neural signature of tactile working memory processing in animals and humans, the representation of internally modified somatosensory working memory content has not been studied so far. Here, recording EEG in human participants (n = 25) performing a modified delayed match-to-sample task allowed us to disambiguate internally driven memory processing from encoding-related delay activity. After presentation of two distinct vibrotactile frequencies to different index fingers, a visual cue indicated which of the two previous stimuli had to be maintained in working memory throughout a retention interval for subsequent frequency discrimination against a probe stimulus. During cued stimulus maintenance, α activity (8-13 Hz) over early somatosensory cortices was lateralized according to the cued tactile stimulus, even though the location of the stimuli was task irrelevant. The task-relevant memory content, in contrast, was found to be represented in right prefrontal cortex. The key finding was that the visually presented instructions triggered systematic modulations of prefrontal β-band activity (20-25 Hz), which selectively reflected the to-be-maintained frequency of the cued tactile vibration. The results expand previous evidence for parametric representations of vibrotactile frequency in the prefrontal cortex and corroborate a central role of dynamic β-band synchronization during active processing of an analog stimulus quantity in human working memory. In particular, our findings suggest that such processing supports not only sustained maintenance but also purposeful modification and updating of the task-relevant working memory contents.W orking memory (WM) refers to a set of operations necessary for maintenance and online processing of information in the service of behavior (1). Across primate species, and for most different types of to-be-maintained information, central WM function has been attributed to the lateral prefrontal cortex (PFC), but the precise nature of prefrontal contributions to stimulus maintenance is still discussed (for reviews, see refs. 2 and 3). Significant progress in delineating the neural signature of maintenance processing in the PFC has been achieved in the somatosensory domain using vibrotactile stimuli in delayed match-to-sample (DMTS) frequency-discrimination tasks. During frequency maintenance, single-cell firing (4) and neuronal population activity (5) in the inferior PFC of monkeys varies parametrically as a monotonic function of the to-be-maintained frequency. PFC engagement during vibrotactile DMTS maintenance also has been demonstrated in humans by task-related changes in hemodynamic responses (6) and synchronized oscillatory EEG/magnetoencephalographic (MEG) activity (7,8). In particular, using EEG, it was found recently that the amplitude of prefrontal oscillatory activity in the upper β band (20-25 Hz) increased linearly with the frequency of the previously presented vibration (8). Such a correlate of parametric † WM (4) in human EEG open...

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“…The Brain Electrical Source Analysis software (BESA Research, version 6, Megis Software) was used for the preprocessing of the MEG data. Artifacts due to blinks or eye movements were corrected by applying an adaptive artifact correction (44). The recorded data were separated in epochs of 1 s, including a prestimulus interval of 200 ms. Epochs were baseline corrected using the interval from −100 to 0 ms. From each congruent trial only one randomly selected tone-number pair was included in the analysis, thus producing an equal number of congruent and incongruent epochs.…”

Section: Meg Data Analysismentioning

confidence: 99%

Musical expertise is related to altered functional connectivity during audiovisual integration

Paraskevopoulos

Kraneburg

Herholz

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

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The present study investigated the cortical large-scale functional network underpinning audiovisual integration via magnetoencephalographic recordings. The reorganization of this network related to long-term musical training was investigated by comparing musicians to nonmusicians. Connectivity was calculated on the basis of the estimated mutual information of the sources' activity, and the corresponding networks were statistically compared. Nonmusicians' results indicated that the cortical network associated with audiovisual integration supports visuospatial processing and attentional shifting, whereas a sparser network, related to spatial awareness supports the identification of audiovisual incongruences. In contrast, musicians' results showed enhanced connectivity in regions related to the identification of auditory pattern violations. Hence, nonmusicians rely on the processing of visual clues for the integration of audiovisual information, whereas musicians rely mostly on the corresponding auditory information. The large-scale cortical network underpinning multisensory integration is reorganized due to expertise in a cognitive domain that largely involves audiovisual integration, indicating long-term training-related neuroplasticity.functional connectivity | MEG | multisensory integration | cortical plasticity | musical training M ultisensory integration is of such importance for our understanding of the surrounding world that its cortical correlates interact with most of the neocortical regions, including the ones traditionally considered as unisensory (1). The cortical areas that are usually referred to as multisensory include the superior temporal sulcus, the intraparietal sulcus, and the frontal cortex (2). Nevertheless, recent evidence suggests that multisensory perception engages more widespread areas than what the classic modular approaches have so far assumed (1). Moreover, audiovisual integration emerges from a dynamic interplay of distributed regions operating in large-scale networks (3).The amount of shared information within these large-scale networks of distributed neuronal groups conceptualizes the notion of functional connectivity (4). Recent methodological advances allow the identification of networks that emerge from whole-brain analyses of neuroimaging data such as functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) (5) and provide fertile ground for studying the functional connectivity patterns of higher cognitive processes. These kinds of networks are modeled as graphs composed of nodes, which represent the cortical areas contributing to the network, and by edges, which represent the connections between the nodes. Each network has specific attributes that quantify connectivity organization (6). These graphs depict the functional connectome of the respective cognitive processes. Recent evidence suggests that functional connectivity networks may be reorganized by factors mediating neuroplasticity such as learning and development (7), altering information processing ...

show abstract

Artifact Correction of the Ongoing EEG Using Spatial Filters Based on Artifact and Brain Signal Topographies

Cited by 695 publications

References 21 publications

Something always sticks? how emotional language modulates neural processes involved in face encoding and recognition memory

Something always sticks? how emotional language modulates neural processes involved in face encoding and recognition memory

Stimulus-dependent EEG activity reflects internal updating of tactile working memory in humans

Musical expertise is related to altered functional connectivity during audiovisual integration

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