Sequential inhibitory control processes assessed through simultaneous EEG–fMRI

Baumeister, Sarah; Hohmann, Sarah; Wolf, Isabella; Plichta, Michael M.; Rechtsteiner, Stefanie; Zangl, Maria; Ruf, Matthias; Holz, Nathalie E.; Boecker, Regina; Meyer‐Lindenberg, Andreas; Holtmann, Martin; Laucht, Manfred; Banaschewski, Tobias; Brandeis, Daniel

doi:10.1016/j.neuroimage.2014.01.023

Cited by 70 publications

(75 citation statements)

References 61 publications

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“…Noteworthy, our ERP-fMRI results contrast with recent findings of an association of increased N2 amplitudes with deactivations in regions of the default mode network (DMN), such as the precuneus, superior temporal gyrus and medial frontal gyrus (Baumeister et al, 2014). This deviation might be attributed to task and methodological differences.…”

Section: Discussioncontrasting

confidence: 99%

“…Although both studies used a Flanker/NoGo task, the present study focused specifically on the modulation of the conflict level in order to increase the conflict-dependent variability of amplitudes for the singetrial analysis. Baumeister et al (2014) did not examine response related error processing, but instead entered the N2 and P3 into one GLM for sequential modeling to disentangle the temporal order of inhibitory processing through these consecutive stimulus-locked ERP components. However, the DMN was also linked to the probability of future errors, as errors increased with decreasing DMN deactivation and decreasing activation in regions associated with task effort on error-preceding trials (Eichele et al, 2008).…”

Section: Discussionmentioning

confidence: 99%

“…One of them is the study by Debener et al (2005) who reported that the BOLD signal correlated with independent component based single trial amplitudes of the ERN in the RCZ. In a recent study of Baumeister et al (2014), response inhibition and attention allocation -represented by the N2/P3 of the event-related potential (ERP) -were investigated by capturing the spontaneous trial-by-trial variation of the corresponding BOLD signal. Higher N2 amplitudes were associated with deactivations in specific parts of the default mode network (DMN), such as the precuneus, superior temporal gyrus and medial frontal gyrus.…”

Section: Introductionmentioning

confidence: 99%

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Conflict monitoring and error processing: New insights from simultaneous EEG–fMRI

et al. 2015

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Section: Discussioncontrasting

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Conflict monitoring and error processing: New insights from simultaneous EEG–fMRI

et al. 2015

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“…Alarmingly, the presented pattern of spurious motion related EEG-BOLD effects was found employing preprocessing steps and analysis steps commonly employed in EEG-fMRI (Baumeister et al, 2014;de Munck et al, 2007;de Munck et al, 2009;Debener et al, 2007;Hanslmayr et al, 2013;Hanslmayr et al, 2011;Jann et al, 2009;Jansen et al, 2012;Laufs et al, 2006b;Laufs et al, 2003;Li et al, 2012;Liu et al, 2012b;Mayhew et al, 2010;Mayhew et al, 2012;Mayhew et al, 2013;Meyer et al, 2013;Novitskiy et al, 2011;Plichta et al, 2013;Regenbogen et al, 2012;White et al, 2013) and could easily pass as neurophysiological plausible results. The relationship of theta oscillatory power and successful memory formation remains controversial, as opposing effects have been reported by recent studies (Hanslmayr and Staudigl, 2014).…”

Section: Motion Causes Seemingly Neurophysiological Plausible Effectsmentioning

confidence: 99%

Spurious correlations in simultaneous EEG-fMRI driven by in-scanner movement

et al. 2016

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Simultaneous EEG-fMRI provides an increasingly attractive research tool to investigate cognitive processes with high temporal and spatial resolution. However, artifacts in EEG data introduced by the MR-scanner still remain a major obstacle. This study employing commonly used artifact correction steps shows that head motion, one overlooked major source of artifacts in EEG-fMRI data, can cause plausible EEG effects and EEG-BOLD correlations. Specifically, low frequency EEG (<20 Hz) is strongly correlated with in-scanner movement. Accordingly, minor head motion (<0.2 mm) induces spurious effects in a twofold manner: Small differences in task-correlated motion elicit spurious low frequency effects, and, as motion concurrently influences fMRI data, EEG-BOLD correlations closely match motion-fMRI correlations. We demonstrate these effects in a memory encoding experiment showing that obtained theta power (~3-7 Hz) effects and channel-level theta-BOLD correlations reflect motion in the scanner. These findings highlight an important caveat that needs to be addressed by future EEG-fMRI studies.

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“…Flanker and Go/No-go tasks (Baumeister et al 2014). These studies have combined the advantages that are offered by the high spatial resolution of fMRI techniques and the high temporal resolution of EEG techniques.…”

Section: Brain Structure Activation During Inhibition: Evidence From mentioning

confidence: 99%

Event-Related Brain Potentials in the Study of Inhibition: Cognitive Control, Source Localization and Age-Related Modulations

et al. 2014

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In the previous fifteen years, a variety of experimental paradigms and methods have been employed to study inhibition. In the current review, we analyze studies that have used the high temporal resolution of the event-related potential (ERP) technique to identify the temporal course of inhibition to understand the various processes that contribute to inhibition. ERP studies with a focus on normal aging are specifically analyzed because they contribute to a deeper understanding of inhibition. Three time windows are proposed to organize the ERP data collected using inhibition paradigms: the 200 ms period following stimulus onset; the period between 200 and 400 ms after stimulus onset; and the period between 400 and 800 ms after stimulus onset. In the first 200 ms, ERP inhibition research has primarily focused on N1 and P1 as the ERP components associated with inhibition. The inhibitory processing in the second time window has been associated with the N2 and P3 ERP components. Finally, in the third time window, inhibition has primarily been associated with the N400 and N450 ERP components. Source localization studies are analyzed to examine 2 the association between the inhibition processes that are indexed by the ERP components and their functional brain areas. Inhibition can be organized in a complex functional structure that is not constrained to a specific time point but, rather, extends its activity through different time windows. This review characterizes inhibition as a set of processes rather than a unitary process.

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Sequential inhibitory control processes assessed through simultaneous EEG–fMRI

Cited by 70 publications

References 61 publications

Conflict monitoring and error processing: New insights from simultaneous EEG–fMRI

Conflict monitoring and error processing: New insights from simultaneous EEG–fMRI

Spurious correlations in simultaneous EEG-fMRI driven by in-scanner movement

Event-Related Brain Potentials in the Study of Inhibition: Cognitive Control, Source Localization and Age-Related Modulations

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