Relationship between Spatiotemporal Dynamics of the Brain at Rest and Self-Reported Spontaneous Thoughts: An EEG Microstate Approach

Tarailis, Povilas; Simkute, Dovile; Koenig, Thomas; Griškova-Bulanova, Inga

doi:10.3390/jpm11111216

Cited by 28 publications

(25 citation statements)

References 63 publications

(117 reference statements)

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“…This should prove helpful, especially for specific participants with disorders who might have a reduced msD, for example, the system with a regular parameter should be less responsive to them than to healthy participants. Finally, the definition of a state as a canonical EEGms and the number of microstates are controversial (Michel and Koenig, 2018;Tarailis et al, 2021). Further studies should address this issue, since the current study used traditional definitions.…”

Section: Discussionmentioning

confidence: 90%

Real-Time Detection and Feedback of Canonical Electroencephalogram Microstates: Validating a Neurofeedback System as a Function of Delay

Asai

Hamamoto

Kashihara

et al. 2022

Front. Syst. Neurosci.

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Recent neurotechnology has developed various methods for neurofeedback (NF), in which participants observe their own neural activity to be regulated in an ideal direction. EEG-microstates (EEGms) are spatially featured states that can be regulated through NF training, given that they have recently been indicated as biomarkers for some disorders. The current study was conducted to develop an EEG-NF system for detecting “canonical 4 EEGms” in real time. There are four representative EEG states, regardless of the number of channels, preprocessing procedures, or participants. Accordingly, our 10 Hz NF system was implemented to detect them (msA, B, C, and D) and audio-visually inform participants of its detection. To validate the real-time effect of this system on participants’ performance, the NF was intentionally delayed for participants to prevent their cognitive control in learning. Our results suggest that the feedback effect was observed only under the no-delay condition. The number of Hits increased significantly from the baseline period and increased from the 1- or 20-s delay conditions. In addition, when the Hits were compared among the msABCD, each cognitive or perceptual function could be characterized, though the correspondence between each microstate and psychological ability might not be that simple. For example, msD should be generally task-positive and less affected by the inserted delay, whereas msC is more delay-sensitive. In this study, we developed and validated a new EEGms-NF system as a function of delay. Although the participants were naive to the inserted delay, the real-time NF successfully increased their Hit performance, even within a single-day experiment, although target specificity remains unclear. Future research should examine long-term training effects using this NF system.

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Section: Discussionmentioning

confidence: 90%

Real-Time Detection and Feedback of Canonical Electroencephalogram Microstates: Validating a Neurofeedback System as a Function of Delay

Asai

Hamamoto

Kashihara

et al. 2022

Front. Syst. Neurosci.

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“… Pipinis et al (2017) found a negative association between microstate C and experienced somatic awareness (SA) of the subsequent Amsterdam Resting-State Questionnaire (ARSQ). SA was evaluated by questions related to bodily self-consciousness (e.g., “I was conscious of my body”; “I thought about my heartbeat”; “I thought about my breathing.” In a follow-up study, Tarailis et al (2021) showed that microstate F was associated with SA, microstates C, E, and G were related to the comfort domain and microstates B and C related to the self-domain. Zanesco et al (2021b) directly examined the association between episodes of mind wandering and microstates in a cognitive task with embedding experience sampling probes to capture moments of on-task vs. off-task focus.…”

Section: Eeg Microstates In Self-related Mind-wanderingmentioning

confidence: 97%

EEG Microstates in Altered States of Consciousness

Bréchet

Michel

2022

Front. Psychol.

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Conscious experiences unify distinct phenomenological experiences that seem to be continuously evolving. Yet, empirical evidence shows that conscious mental activity is discontinuous and can be parsed into a series of states of thoughts that manifest as discrete spatiotemporal patterns of global neuronal activity lasting for fractions of seconds. EEG measures the brain’s electrical activity with high temporal resolution on the scale of milliseconds and, therefore, might be used to investigate the fast spatiotemporal structure of conscious mental states. Such analyses revealed that the global scalp electric fields during spontaneous mental activity are parceled into blocks of stable topographies that last around 60–120 ms, the so-called EEG microstates. These brain states may be representing the basic building blocks of consciousness, the “atoms of thought.” Altered states of consciousness, such as sleep, anesthesia, meditation, or psychiatric diseases, influence the spatiotemporal dynamics of microstates. In this brief perspective, we suggest that it is possible to examine the underlying characteristics of self-consciousness using this EEG microstates approach. Specifically, we will summarize recent results on EEG microstate alterations in mind-wandering, meditation, sleep and anesthesia, and discuss the functional significance of microstates in altered states of consciousness.

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“…The ARSQ appeared to be a useful tool to relate biological signals collected over the resting-state session with participants’ subjective experiences and emotions. Several studies using different brain-imaging modalities and applying different analysis methods have reported associations with the ARSQ domains (DoM [ 24 , 26 ], ToM [ 20 ], Self [ 25 , 26 ], Planning [ 18 , 22 ], Sleepiness [ 16 , 24 ], Comfort [ 18 , 24 , 25 ], Somatic Awareness [ 18 , 21 , 25 , 26 ], Visual Thought [ 24 ], and Verbal Thought [ 26 ]). However, none of the studies has implemented an f-PCA approach for EEG quantification.…”

Section: Discussionmentioning

confidence: 99%

“…The Comfort domain was characterized by questions such as “I felt comfortable”, “I felt happy”, and “I felt relaxed”. Previously, this domain has been associated with the temporal characteristics of broadband EEG microstates C, E, G [ 25 ], and D [ 18 ]. EEG microstates are mainly driven by alpha activity [ 61 ].…”

Section: Discussionmentioning

confidence: 99%

“…The Amsterdam Resting-State Questionnaire (ARSQ) [ 16 , 17 ] assesses ten mind-wandering domains that participants might experience during the resting session: Discontinuity of Mind (DoM), referring to the dynamics of ongoing thoughts; Theory of Mind (ToM), referring to other-people-related thoughts; Self, referring to self-related thoughts; Planning, referring to future-directed thoughts; Sleepiness, referring to the level of drowsiness; Comfort, referring to the level of relaxation during the session; Somatic Awareness (SA), referring to the interoceptive awareness of one’s own body; Health Concern (HC), referring to general well-being; Visual Thought (Vis), referring to visual imagery during mind wandering; and Verbal Thought (VT), referring to spontaneous thoughts formulated in words. Several EEG, fMRI, and behavioral studies have reported the relationship between ARSQ domains and physiological or psychological variables in healthy [ 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ] and clinical cohorts [ 27 , 28 ], confirming the importance of combined measures of subjective experience and biologically defined signals.…”

Section: Introductionmentioning

confidence: 86%

See 1 more Smart Citation

Data-Driven EEG Theta and Alpha Components Are Associated with Subjective Experience during Resting State

Tarailis

Blasio

Simkute

et al. 2022

JPM

Self Cite

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The resting-state paradigm is frequently applied to study spontaneous activity of the brain in normal and clinical conditions. However, the relationship between the ongoing experience of mind wandering and the individual biological signal is still unclear. We aim to estimate associations between subjective experiences measured with the Amsterdam Resting-State Questionnaire and data-driven components of an electroencephalogram extracted by frequency principal component analysis (f-PCA). Five minutes of resting multichannel EEG was recorded in 226 participants and six EEG data-driven components were extracted—three components in the alpha range (peaking at 9, 10.5, and 11.5 Hz) and one each in the delta (peaking at 0.5 Hz), theta (peaking at 5.5 Hz) and beta (peaking at 17 Hz) ranges. Bayesian Pearson’s correlation revealed a positive association between the individual loadings of the theta component and ratings for Sleepiness (r = 0.200, BF10 = 7.676), while the individual loadings on one of the alpha components correlated positively with scores for Comfort (r = 0.198, BF10 = 7.115). Our study indicates the relevance of assessments of spontaneous thought occurring during the resting-state for the understanding of the individual intrinsic electrical brain activity.

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Relationship between Spatiotemporal Dynamics of the Brain at Rest and Self-Reported Spontaneous Thoughts: An EEG Microstate Approach

Cited by 28 publications

References 63 publications

Real-Time Detection and Feedback of Canonical Electroencephalogram Microstates: Validating a Neurofeedback System as a Function of Delay

Real-Time Detection and Feedback of Canonical Electroencephalogram Microstates: Validating a Neurofeedback System as a Function of Delay

EEG Microstates in Altered States of Consciousness

Data-Driven EEG Theta and Alpha Components Are Associated with Subjective Experience during Resting State

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