ArticleFrontiers in neuroscience2022
Dynamic Transitions Between Brain States Predict Auditory Attentional Fluctuations.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 12 citations in OpenAlex.
- Automating region selection with genetic algorithms for energy landscape analyses of brain dynamics.Patterns (New York, N.Y.) · 2026Article
- A multi-session simultaneous EEG-fMRI dataset with repeated experience sampling.bioRxiv : the preprint server for biology · 2026Article
- Exploring the neural basis of reaction time variability in ADHD: The importance of examining data at the trial level.Neuroimage. Reports · 2025Article
- Energy landscape analysis based on the Ising model: Tutorial review.PLOS complex systems · 2025Article
- Functional brain networks predicting sustained attention are not specific to perceptual modality.Network neuroscience (Cambridge, Mass.) · 2025Article
- Edge-Based General Linear Models Capture Moment-to-Moment Fluctuations in Attention.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Aberrant brain dynamics of large-scale functional networks across schizophrenia and mood disorder.NeuroImage. Clinical · 2024Article
- Striatal GABA levels correlate with risk sensitivity in monetary loss.Frontiers in neuroscience · 2024Article
- Prefrontal GABA and glutamate-glutamine levels affect sustained attention.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Edge-based general linear models capture high-frequency fluctuations in attention.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Achievement of task performance is required to maintain a constant level of attention. Attentional level fluctuates over the course of daily activities. However, brain dynamics leading to attentional fluctuation are still unknown. We investigated the underlying mechanisms of sustained attention using functional magnetic resonance imaging (fMRI). Participants were scanned with fMRI while performing an auditory, gradual-onset, continuous performance task (gradCPT). In this task, narrations gradually changed from one to the next. Participants pressed a button for frequent Go trials (i.e., male voices) as quickly as possible and withheld responses to infrequent No-go trials (i.e., female voices). Event-related analysis revealed that frontal and temporal areas, including the auditory cortex, were activated during successful and unsuccessful inhibition of predominant responses. Reaction-time (RT) variability throughout the auditory gradCPT was positively correlated with signal changes in regions of the dorsal attention network: superior frontal gyrus and superior parietal lobule. Energy landscape analysis showed that task-related activations could be clustered into different attractors: regions of the dorsal attention network and default mode network. The number of alternations between RT-stable and erratic periods increased with an increase in transitions between attractors in the brain. Therefore, we conclude that dynamic transitions between brain states are closely linked to auditory attentional fluctuations.
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