Event-related microstate dynamics represents working memory performance

Tamano, Ryuta; Ogawa, Takeshi; Katagiri, Arisa; Cai, Chang; Asai, Tomohisa; Kawanabe, Motoaki

doi:10.1016/j.neuroimage.2022.119669

Cited by 4 publications

(3 citation statements)

References 74 publications

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“…Although “polarity” in EEG microstate studies refers to the positivity or negativity of the overall potential pattern at a given instant rather than the polarity of a specific electrode waveform (referred to as “topographical polarity”), it has been indirectly suggested for some time that polarity may have meaningful in microstate studies as well. For example, Tamano et al (2022) and Asai et al (2022) suggested the oscillation of EEG microstate dynamics and the existence of both topographical polarities. Moreover, our observations, as well as those of many studies dealing with EEG topography during tasks not restricted to microstates, indicate that EEG microstates during cognitive tasks seem to be biased toward a particular pole, a pattern we call “negative.” Further studies are needed to examine whether each polarity state reflects something functional.…”

Section: Discussionmentioning

confidence: 99%

Topographical polarity reveals continuous EEG microstate transitions and electric field direction in healthy aging

Kashihara,

Asai,

Imamizu

2024

Preprint

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EEG microstate sequences, representing whole-brain spatial potential distribution patterns of the EEG, offer valuable insights for capturing spatiotemporally continuous and fluctuating neural dynamics with high temporal resolution through appropriate discretization. Recent studies suggest that EEG microstate transitions are gradual and continuous phenomena, contrary to the classical view of binary transitions. This study aimed to update conventional microstate analysis to reflect continuous EEG dynamics and examine differences in age-related electrophysiological state transitions. We considered the relative positions of EEG microstates on the neural manifold and their topographical polarity. Transition probability results showed fewer transitions on the microstate D-C-E axis in older adults. In contrast, transitions among microstates A, D, and B increased in the older group and were mainly observed within polarity. Furthermore, the 100 microstate transitions, which are variations of the shortest transitions between 10 microstates, could be reduced to 8 principal components based on the co-occurrence of each transition, including hubs C and E, planar transitions through msA/B and D, and unidirectional transition components. Several transition components were potentially significant predictors of age group. These features were nearly replicated in independent data, indicating their robustness in characterizing age-related electrophysiological spatiotemporal dynamics.

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Section: Discussionmentioning

confidence: 99%

Topographical polarity reveals continuous EEG microstate transitions and electric field direction in healthy aging

Kashihara,

Asai,

Imamizu

2024

Preprint

Self Cite

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“…Recently, Guan et al ( 2022 ) showed that the occurrence of all the microstates except microstate class E, the duration of microstate class A and C, as well as the coverage of microstate class A, C, and F, were significantly affected by MWL in four NBack tasks. In contrast, Tamano et al ( 2022 ) reported that static microstate topographies and parameters were not affected by MWL in the NBack task, whereas only event‐related microstate dynamics were affected. It is important to note that both studies focus on the same type of task: NBack.…”

Section: Introductionmentioning

confidence: 88%

Evidence for modulation of EEG microstates by mental workload levels and task types

Chen,

Ke,

et al. 2023

Human Brain Mapping

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Electroencephalography (EEG) microstate analysis has become a popular tool for studying the spatial and temporal dynamics of large‐scale electrophysiological activities in the brain in recent years. Four canonical topographies of the electric field (classes A, B, C, and D) have been widely identified, and changes in microstate parameters are associated with several psychiatric disorders and cognitive functions. Recent studies have reported the modulation of EEG microstate by mental workload (MWL). However, the common practice of evaluating MWL is in a specific task. Whether the modulation of microstate by MWL is consistent across different types of tasks is still not clear. Here, we studied the topographies and dynamics of microstate in two independent MWL tasks: NBack and the multi‐attribute task battery (MATB) and showed that the modulation of MWL on microstate topographies and parameters depended on tasks. We found that the parameters of microstates A and C, and the topographies of microstates A, B, and D were significantly different between the two tasks. Meanwhile, all four microstate topographies and parameters of microstates A and C were different during the NBack task, but no significant difference was found during the MATB task. Furthermore, we employed a support vector machine recursive feature elimination procedure to investigate whether microstate parameters were suitable for MWL classification. An averaged classification accuracy of 87% for within‐task and 78% for cross‐task MWL discrimination was achieved with at least 10 features. Collectively, our findings suggest that topographies and parameters of microstates can provide valuable information about neural activity patterns with a dynamic temporal structure at different levels of MWL, but the modulation of MWL depends on tasks and their corresponding functional systems. Moreover, as a potential indicator, microstate parameters could be used to distinguish MWL.

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“…Recorded at the human scalp through electrodes, electroencephalogram (EEG) reflects the spontaneous and rhythmic electrical activity of a population of brain cells. Ever since Hans Berger reported his discovery, EEG has been widely used to explore the cognitive processing mechanisms in the human brain ( Jeong et al, 2022 ; Proix et al, 2022 ; Tamano et al, 2022 ). In Pauline and Davis et al (1939) first observed and recorded stimulus-related evoked potentials on awake human brains ( Davis et al, 1939 ).…”

Section: Introductionmentioning

confidence: 99%

Revealing brain’s cognitive process deeply: a study of the consistent EEG patterns of audio-visual perceptual holistic

Li,

et al. 2024

Front. Hum. Neurosci.

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IntroductionTo investigate the brain’s cognitive process and perceptual holistic, we have developed a novel method that focuses on the informational attributes of stimuli.MethodsWe recorded EEG signals during visual and auditory perceptual cognition experiments and conducted ERP analyses to observe specific positive and negative components occurring after 400ms during both visual and auditory perceptual processes. These ERP components represent the brain’s perceptual holistic processing activities, which we have named Information-Related Potentials (IRPs). We combined IRPs with machine learning methods to decode cognitive processes in the brain.ResultsOur experimental results indicate that IRPs can better characterize information processing, particularly perceptual holism. Additionally, we conducted a brain network analysis and found that visual and auditory perceptual holistic processing share consistent neural pathways.DiscussionOur efforts not only demonstrate the specificity, significance, and reliability of IRPs but also reveal their great potential for future brain mechanism research and BCI applications.

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Event-related microstate dynamics represents working memory performance

Cited by 4 publications

References 74 publications

Topographical polarity reveals continuous EEG microstate transitions and electric field direction in healthy aging

Topographical polarity reveals continuous EEG microstate transitions and electric field direction in healthy aging

Evidence for modulation of EEG microstates by mental workload levels and task types

Revealing brain’s cognitive process deeply: a study of the consistent EEG patterns of audio-visual perceptual holistic

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