Vigilance regulation in adult ADHD

Strauss, Murray A.; Paucke, Madlen; Sander, C; Hegerl, Ulrich

doi:10.1055/s-0035-1558036

Cited by 1 publication

(2 citation statements)

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“…Importantly, to estimate the vigilance levels, we follow with the definition and algorithm described in (Falahpour et al 2018). Compared to alternative approaches like VIGALL (Hegerl & Hensch 2014, Olbrich et al 2009, Strauss et al 2015, the approach used here has the benefit that it produces continuous measures of vigilance and does not require electrooculography data.…”

Section: Discussionmentioning

confidence: 99%

“…As classification of EEG microstate classes is strongly dependent on the power of alpha frequency (Lehmann et al 1987), it is reasonable to hypothesize that the temporal characteristics of EEG microstates might be affected by vigilance changes. Since patients suffering from neuropsychiatric disorders are known to have altered vigilance regulation pattern (Hegerl & Hensch 2014, Olbrich et al 2012, Strauss et al 2015, this hypothesis, should it get confirmed, can have strong implications in interpreting EEG microstate alterations in a clinical context (for a related topic see Zanesco et al 2020).…”

Section: Introductionmentioning

confidence: 99%

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Evidence for modulation of EEG microstate sequence by vigilance level

Krylova

Alizadeh

Izyurov

et al. 2020

Preprint

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Highlights• EEG microstate parameters are strongly related to vigilance levels and can predict them • We find that vigilance Granger-causes changes in parameters of microstates • Duration and occurrence of EEG microstates are differentially modulated by vigilance level AbstractThe momentary global functional state of the brain is reflected in its electric field configuration and cluster analytical approaches have consistently shown four configurations, referred to as EEG microstate classes A to D. Changes in microstate parameters are associated with a number of neuropsychiatric disorders, task performance, and mental state establishing their relevance for cognition. However, the common practice to use eye-closed resting state data to assess the temporal dynamics of microstate parameters might induce systematic confounds related to vigilance levels. Here, we studied the dynamics of microstate parameters in two independent data sets and showed that the parameters of microstates are strongly associated with vigilance level assessed both by EEG power analysis and fMRI global signal. We found that the duration and contribution of microstate class C, as well as transition probabilities towards microstate class C were positively associated with vigilance, whereas the sign was reversed for microstate classes A and B. Furthermore, in looking for the origins of the correspondence between microstates and vigilance level, we found Granger-causal effects of vigilance levels on microstate sequence parameters. Collectively, our findings suggest that duration and occurrence of microstates have a different origin and possibly reflect different physiological processes. Finally, our findings indicate the need for taking vigilance levels into consideration in resting-sate EEG investigations.

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