Power and temporal dynamics of alpha oscillations at rest differentiate cognitive performance involving sustained and phasic cognitive control

Mahjoory, Keyvan; Cesnaite, Elena; Hohlefeld, Friederike U.; Villringer, Arno; Nikulin, Vadim V.

doi:10.1016/j.neuroimage.2018.12.001

Cited by 66 publications

(62 citation statements)

References 80 publications

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“…While this is increasingly recognized in the literature (Becker et al, 2018;Haag et al, 2015;Mahjoory et al, 2019;Tavor et al, 2016), the current study is the first to show this for the theta band oscillations in the context of inhibitory control. Notably, the data analysis of the PLF in Nogo trials revealed no differential effects between the high baseline group and the low baseline group, which was confirmed by Bayesian statistics.…”

Section: Resting Theta Activity Groupingsupporting

confidence: 51%

“…In line with overarching theoretical conceptions concerning the function of the medial frontal cortex and theta band activity (Cavanagh & Frank, 2014), the increase in theta band power in Nogo trials has been suggested to reflect an "alarm" or "surprise signal," which is crucial for increasing cognitive control Dippel et al, 2017;Wessel, 2018). On the other hand, it is increasingly recognized that there are similarities between resting dynamics and activity related to cognitive control (Becker, Van de Ville, & Kleinschmidt, 2018;Haag et al, 2015;Mahjoory, Cesnaite, Hohlefeld, Villringer, & Nikulin, 2019;Tavor et al, 2016). Based on these findings, it could be assumed that the individual ability to increase theta activity beyond a certain resting state activity is essential for successful response inhibition performance.…”

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confidence: 95%

“…Based on these findings, it could be assumed that the individual ability to increase theta activity beyond a certain resting state activity is essential for successful response inhibition performance. On the other hand, it is increasingly recognized that there are similarities between resting dynamics and activity related to cognitive control (Becker, Van de Ville, & Kleinschmidt, 2018;Haag et al, 2015;Mahjoory, Cesnaite, Hohlefeld, Villringer, & Nikulin, 2019;Tavor et al, 2016). Some findings suggest that resting state EEG activity can predict cognitive control (Nakao, Bai, Nashiwa, & Northoff, 2013) and that resting theta activity in the middle frontal gyrus is associated with modulations in the topography of EEG activity during response inhibition (Lansbergen, Schutter, & Kenemans, 2007;Schiller, Gianotti, Nash, & Knoch, 2014).…”

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confidence: 99%

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On the relevance of EEG resting theta activity for the neurophysiological dynamics underlying motor inhibitory control

Pscherer

Mückschel

Summerer

et al. 2019

Human Brain Mapping

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The modulation of theta frequency activity plays a major role in inhibitory control processes. However, the relevance of resting theta band activity and of the ability to spontaneously modulate this resting theta activity for neural mechanisms underlying inhibitory control is elusive. Various theoretical conceptions suggest to take these aspects into consideration. In the current study, we examine whether the strength of resting theta band activity or the ability to modulate the resting state theta activity affects response inhibition. We combined EEG‐time frequency decomposition and beamforming in a conflict‐modulated Go/Nogo task. A sample of N = 66 healthy subjects was investigated. We show that the strength of resting state theta activity modulates the effects of conflicts during motor inhibitory control. Especially when resting theta activity was low, conflicts strongly affected response inhibition performance and total theta band activity during Nogo trials. These effects were associated with theta‐related activity differences in the superior (BA7) and inferior parietal cortex (BA40). The results were very specific for total theta band activity since evoked theta activity and measures of intertrial phase coherency (phase‐locking factor) were not affected. The data suggest that the strength of resting state theta activity modulates processing of a theta‐related alarm or surprise signal during inhibitory control. The ability to voluntarily modulate theta band activity did not affect conflict‐modulated inhibitory control. These findings have important implications for approaches aiming to optimize human cognitive control.

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Section: Resting Theta Activity Groupingsupporting

confidence: 51%

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confidence: 95%

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confidence: 99%

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On the relevance of EEG resting theta activity for the neurophysiological dynamics underlying motor inhibitory control

Pscherer

Mückschel

Summerer

et al. 2019

Human Brain Mapping

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“…Preprocessed EEG recordings from the Mind-Brain-Body study were made available for use by interested researchers on a data-sharing repository (https://ftp.gwdg.de/pub/misc/MPI-Leipzig_Mind-Brain-Body-LEMON/). Portions of these preprocessed data have already been used in at least two investigations of EEG oscillatory dynamics, by Mahjoory et al, 2019, andby Schaworonkow and. As reported by Babayan and colleagues (2019), outlier channels with poor signal quality, extreme peak-to-peak deflections, or large bursts of high frequency activity were excluded based on visual inspection.…”

Section: Eeg Data Collection and Processingmentioning

confidence: 99%

Within and Between-person Correlates of the Temporal Dynamics of Resting EEG Microstates

Zanesco

King

Skwara

et al. 2019

Preprint

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Microstates reflect transient brain states resulting from the activity of synchronously active brain networks that predominate in the broadband EEG time series. Despite increasing interest in understanding how the functional organization of the brain varies across individuals, or the extent to which its spatiotemporal dynamics are state dependent, comparatively little research has examined within and between-person correlates of microstate temporal parameters in healthy populations. In the present study, neuroelectric activity recorded during eyes-closed rest and during simple visual fixation was segmented into a time series of transient microstate intervals. It was found that five data-driven microstate configurations explained the preponderance of topographic variance in the EEG time series of the 374 recordings (from 187 participants) included in the study. We observed that the temporal dynamics of microstates varied within individuals to a greater degree than they differed between persons, with within-person factors explaining a large portion of the variance in mean microstate duration and occurrence rate.Nevertheless, several individual differences were found to predict the temporal dynamics of microstates. Of these, age and gender were the most reliable. These findings suggest that not only do the rich temporal dynamics of whole-brain neuronal networks vary considerably withinindividuals, but that microstates appear to differentiate persons based on trait individual differences. The current findings suggest that rather than focusing exclusively on between-person differences in microstates as measures of brain function, researchers should turn their attention towards understanding the factors contributing to within-person variation.

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“…Empirical evidence indicates that LFP oscillations with different frequencies correlate well with distinct neural computations, motor control, and cognitive states [26]. In particular, low frequencies such as theta and alpha are known to modulate sensory processing, action selection and neuronal excitability; are implicated in cognitive control; and are involved in long-range synchrony facilitating, e.g., top-down processing [27][28][29][30][31][32]. Beta band oscillations potentially hold functions in perception, memory, and sensory processing [33][34][35]; are linked to motor actions in the motor cortex and striatum [36,37]; and are dysregulated in disorders such as Parkinson disease [6,38].…”

Section: Introductionmentioning

confidence: 99%

Neural oscillations in the fronto-striatal network predict vocal output in bats

2020

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The ability to vocalize is ubiquitous in vertebrates, but neural networks underlying vocal control remain poorly understood. Here, we performed simultaneous neuronal recordings in the frontal cortex and dorsal striatum (caudate nucleus, CN) during the production of echolocation pulses and communication calls in bats. This approach allowed us to assess the general aspects underlying vocal production in mammals and the unique evolutionary adaptations of bat echolocation. Our data indicate that before vocalization, a distinctive change in highgamma and beta oscillations (50-80 Hz and 12-30 Hz, respectively) takes place in the bat frontal cortex and dorsal striatum. Such precise fine-tuning of neural oscillations could allow animals to selectively activate motor programs required for the production of either echolocation or communication vocalizations. Moreover, the functional coupling between frontal and striatal areas, occurring in the theta oscillatory band (4-8 Hz), differs markedly at the millisecond level, depending on whether the animals are in a navigational mode (that is, emitting echolocation pulses) or in a social communication mode (emitting communication calls). Overall, this study indicates that fronto-striatal oscillations could provide a neural correlate for vocal control in bats.

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Power and temporal dynamics of alpha oscillations at rest differentiate cognitive performance involving sustained and phasic cognitive control

Cited by 66 publications

References 80 publications

On the relevance of EEG resting theta activity for the neurophysiological dynamics underlying motor inhibitory control

On the relevance of EEG resting theta activity for the neurophysiological dynamics underlying motor inhibitory control

Within and Between-person Correlates of the Temporal Dynamics of Resting EEG Microstates

Neural oscillations in the fronto-striatal network predict vocal output in bats

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