From swing to cane: Sex differences of EEG resting-state temporal patterns during maturation and aging

Tomescu, Miralena I.; Rihs, Tonia A.; Rochas, Vincent; Hardmeier, Martin; Britz, Juliane; Allali, Gilles; Fuhr, Peter; Eliez, Stéphan; Michel, Christoph M.

doi:10.1016/j.dcn.2018.04.011

Cited by 108 publications

(118 citation statements)

References 103 publications

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“…Increases in microstate duration and decreases in occurrence were observed among older adults for all microstate configurations. These findings support and extend previous findings of age-related differences in microstate duration and occurrence (Koenig et al, 2002;Tomescu et al, 2018). In addition, we found that microstates A and B explained more variance in the EEG time series of older adults, whereas microstates C and E explained less variance, compared to the younger age group.…”

Section: Discussionsupporting

confidence: 91%

“…Reliable age-related differences have been observed across a number of neuroimaging modalities (Campbell and Schacter, 2017). On the basis of these and other studies reporting agerelated differences in microstates (i.e., Koenig et al, 2002;Tomescu et al, 2018), we also expected to find substantial age group differences in microstate dynamics. However, given the exploratory goals of the present study, we had no specific hypotheses regarding which measures of microstate temporal dynamics or microstate configurations would be associated with specific individual differences in gender, personality, mood, or attentional performance.…”

mentioning

confidence: 67%

“…To date, measures of the duration, rate of occurrence, and the sequence of specific microstate configurations have been associated with individual differences in age and gender (Koenig et al, 2002;Tomescu et al, 2018), as well as clinical and neurological diagnoses and dysfunction (Rieger et al, 2016;Zoubi et al, 2019). Information regarding the association of microstate parameters with personality attributes or with cognitive performance measures is even more limited.…”

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confidence: 99%

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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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Section: Discussionsupporting

confidence: 91%

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confidence: 67%

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confidence: 99%

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

Zanesco

King

Skwara

et al. 2019

Preprint

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“…The topographies of these three microstates strongly resemble three of the four canonical microstates previously described in the literature (for reviews see (17,20)). Studies on large cohorts showed that microstate C is generally the most dominant state during eyes-closed rest (54). Recently, Seitzman et al (55) showed that microstate C decreases in duration and occurrence during a mental arithmetic task, similar to our findings.…”

Section: Discussionsupporting

confidence: 90%

Capturing the spatiotemporal dynamics of task-initiated thoughts with combined EEG and fMRI

Bréchet

Brunet

Birot

et al. 2018

Preprint

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When at rest, our mind wanders from thought to thought in distinct mental states. Despite the marked importance of ongoing mental processes, it is challenging to capture and relate these states to specific cognitive contents. In this work, we employed ultra-high field functional magnetic resonance imaging (fMRI) and high-density electroencephalography (EEG) to study the ongoing thoughts of participants instructed to retrieve self-relevant past episodes for periods of 20s. These task-initiated, participant-driven activity patterns were compared to a distinct condition where participants performed serial mental arithmetic operations, thereby shifting from self-related to self-unrelated thoughts. BOLD activity mapping revealed selective activity changes in temporal, parietal and occipital areas ("posterior hot zone"), evincing their role in integrating the re-experienced past events into conscious representations during memory retrieval. Functional connectivity analysis showed that these regions were organized in two major subparts of the default mode network, previously associated to "scene-reconstruction" and "selfexperience" subsystems. EEG microstate analysis allowed studying these participant-driven thoughts in the millisecond range by determining the temporal dynamics of brief periods of stable scalp potential fields. This analysis revealed selective modulation of occurrence and duration of specific microstates in both conditions. EEG source analysis revealed similar spatial distributions between the sources of these microstates and the regions identified with fMRI.These findings support growing evidence that specific fMRI networks can be captured with EEG as repeatedly occurring, integrated brief periods of synchronized neuronal activity, lasting only fractions of seconds. SignificanceWe investigated the spatiotemporal dynamics of large-scale brain networks related to specific conscious thoughts. We demonstrate here that instructing participants to direct their thoughts to either episodic autobiographic memory or to mental arithmetic modulates distinct networks both 2 in terms of highly spatially-specific BOLD signal oscillations as well as fast sub-second dynamics of EEG microstates. The combined findings from the two modalities evince a clear link between hemodynamic and electrophysiological signatures of spontaneous brain activity by the occurrence of thoughts that last for fractions of seconds, repeatedly appearing over time as integrated coherent activities of specific large-scale networks.

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“…Two temporal parameters were then quantified for each recording of each subject: the mean duration a given cluster map (microstate) was present without interruption, and the number of times per second a given microstate appeared, independent of the durationtermed "occurrence" (Michel and Koenig, 2018). In addition, we analysed the syntax of EEG microstates by computing the probabilities from a single n th -previous state to the current one for each subject and transition pair, normalized by the occurrence of each state (Lehmann et al, 2005;Tomescu et al, 2018)).…”

Section: Back-fittingmentioning

confidence: 99%

Capturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI

Bréchet

Brunet

Birot³

et al. 2019

NeuroImage

209

232

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The temporal structure of self-generated cognition is a key attribute to the formation of a meaningful stream of consciousness. When at rest, our mind wanders from thought to thought in distinct mental states. Despite the marked importance of ongoing mental processes, it is challenging to capture and relate these states to specific cognitive contents. In this work, we employed ultra-high field functional magnetic resonance imaging (fMRI) and high-density electroencephalography (EEG) to study the ongoing thoughts of participants instructed to retrieve self-relevant past episodes for periods of 22sec. These task-initiated, participant-driven activity patterns were compared to a distinct condition where participants performed serial mental arithmetic operations, thereby shifting from self-related to self-unrelated thoughts. BOLD activity mapping revealed selective enhanced activity in temporal, parietal and occipital areas during the memory compared to the mental arithmetic condition, evincing their role in integrating the re-experienced past events into conscious representations during memory retrieval. Functional connectivity analysis showed that these regions were organized in two major subparts, previously associated to "scene-reconstruction" and "self-experience" subsystems. EEG microstate analysis allowed studying these participant-driven thoughts in the millisecond range by determining the temporal dynamics of brief periods of stable scalp potential fields. This analysis revealed selective modulation of occurrence and duration of specific microstates in the memory and in the mental arithmetic condition, respectively. EEG source analysis revealed similar spatial distributions of the sources of these microstates and the regions identified with fMRI. These findings imply a functional link between BOLD activity changes in regions related to a certain mental activity and the temporal dynamics of mentation, and support growing evidence that specific fMRI networks can be captured with EEG as repeatedly occurring brief periods of integrated coherent neuronal activity, lasting only fractions of seconds.

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From swing to cane: Sex differences of EEG resting-state temporal patterns during maturation and aging

Cited by 108 publications

References 103 publications

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

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

Capturing the spatiotemporal dynamics of task-initiated thoughts with combined EEG and fMRI

Capturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI

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