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Alerting attention is sufficient to induce a phase-dependent behavior that can be predicted by frontal EEG
Journal article   Open access   Peer reviewed

Alerting attention is sufficient to induce a phase-dependent behavior that can be predicted by frontal EEG

Georgios Mentzelopoulos, Nicolette Driscoll, Sneha Shankar, Brian Kim, Ryan Rich, Guadalupe Fernandez-Nunez, Harrison Stoll, Brian Erickson, John Dominic Medaglia and Flavia Vitale
Frontiers in behavioral neuroscience, v 17, pp 1176865-1176865
24 May 2023
PMID: 37292166
url
https://doi.org/10.3389/fnbeh.2023.1176865View
Published, Version of Record (VoR) Open

Abstract

Behavioral Neuroscience
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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Collaboration types
Domestic collaboration
Web of Science research areas
Behavioral Sciences
Neurosciences
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