ArticleFrontiers in behavioral neuroscience2023
Alerting attention is sufficient to induce a phase-dependent behavior that can be predicted by frontal EEG.
Article in Frontiers in behavioral neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Size Scaling of the Electrochemical Performance of TiSmall (Weinheim an der Bergstrasse, Germany) · 2026Article
- Advancing Dry Electroencephalography With Scalable, Soft, and Transcranial Magnetic Stimulation-Compatible TiAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Size Scaling of the Electrochemical Performance of TibioRxiv : the preprint server for biology · 2026Article
- Transparent MXene Microelectrode Arrays for Multimodal Mapping of Neural Dynamics.Advanced healthcare materials · 2025Article
- TMS-induced phase resets depend on TMS intensity and EEG phase.Journal of neural engineering · 2024Article
- Evaluating and benchmarking the EEG signal quality of high-density, dry MXene-based electrode arrays against gelled Ag/AgCl electrodes.Journal of neural engineering · 2024Article
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Authors and funding
10 authors.
Funding
Abstract
Recent studies suggest that attention is rhythmic. Whether that rhythmicity can be explained by the phase of ongoing neural oscillations, however, is still debated. We contemplate that a step toward untangling the relationship between attention and phase stems from employing simple behavioral tasks that isolate attention from other cognitive functions (perception/decision-making) and by localized monitoring of neural activity with high spatiotemporal resolution over the brain regions associated with the attentional network. In this study, we investigated whether the phase of electroencephalography (EEG) oscillations predicts alerting attention. We isolated the alerting mechanism of attention using the Psychomotor Vigilance Task, which does not involve a perceptual component, and collected high resolution EEG using novel high-density dry EEG arrays at the frontal region of the scalp. We identified that alerting attention alone is sufficient to induce a phase-dependent modulation of behavior at EEG frequencies of 3, 6, and 8 Hz throughout the frontal region, and we quantified the phase that predicts the high and low attention states in our cohort. Our findings disambiguate the relationship between EEG phase and alerting attention.
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