ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2013
Simultaneous EEG-fMRI reveals temporal evolution of coupling between supramodal cortical attention networks and the brainstem.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed.
- Not just heard, but judged: a multidimensional perspective on auditory attention in everyday life.Frontiers in neuroergonomics · 2026Review
- An attention-based fuzzy CNN-LTSM network for visual object recognition from fMRI images.Journal of computational neuroscience · 2025Article
- Functional brain networks predicting sustained attention are not specific to perceptual modality.Network neuroscience (Cambridge, Mass.) · 2025Article
- Supramodal and modality-specific neural information supports multi-feature prediction errors across cortical levels.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Deep learning for inner speech recognition: a pilot comparative study of EEGNet and a spectro-temporal Transformer on bimodal EEG-fMRI data.Frontiers in human neuroscience · 2025Article
- High-quality multimodal MRI with simultaneous EEG using conductive ink and polymer-thick film nets.Journal of neural engineering · 2024Article
- Article
- Pupillary response is associated with the reset and switching of functional brain networks during salience processing.PLoS computational biology · 2023Article
- Sensory Target Detection at Local and Global Timescales Reveals a Hierarchy of Supramodal Dynamics in the Human Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Early soft and flexible fusion of electroencephalography and functional magnetic resonance imaging via double coupled matrix tensor factorization for multisubject group analysis.Human brain mapping · 2022Article
- Article
- Ballistocardiogram Artifact Reduction in Simultaneous EEG-fMRI Using Deep Learning.IEEE transactions on bio-medical engineering · 2021Article
- Supramodal Mechanisms of the Cognitive Control Network in Uncertainty Processing.Cerebral cortex (New York, N.Y. : 1991) · 2020Article
- Multi-timescale hybrid components of the functional brain connectome: A bimodal EEG-fMRI decomposition.Network neuroscience (Cambridge, Mass.) · 2020Article
- Non-stationary Group-Level Connectivity Analysis for Enhanced Interpretability of Oddball Tasks.Frontiers in neuroscience · 2020Article
- Association of β-Amyloid Burden With Sleep Dysfunction and Cognitive Impairment in Elderly Individuals With Cognitive Disorders.JAMA network open · 2019Article
- Single-Trial EEG-fMRI Reveals the Generation Process of the Mismatch Negativity.Frontiers in human neuroscience · 2019Article
- fMRIPrep: a robust preprocessing pipeline for functional MRI.Nature methods · 2019Article
- Article
- A multimodal encoding model applied to imaging decision-related neural cascades in the human brain.NeuroImage · 2018Article
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6 authors.
Funding
Abstract
Cortical and subcortical networks have been identified that are commonly associated with attention and task engagement, along with theories regarding their functional interaction. However, a link between these systems has not yet been demonstrated in healthy humans, primarily because of data acquisition and analysis limitations. We recorded simultaneous EEG-fMRI while subjects performed auditory and visual oddball tasks and used these data to investigate the BOLD correlates of single-trial EEG variability at latencies spanning the trial. We focused on variability along task-relevant dimensions in the EEG for identical stimuli and then combined auditory and visual data at the subject level to spatially and temporally localize brain regions involved in endogenous attentional modulations. Specifically, we found that anterior cingulate cortex (ACC) correlates strongly with both early and late EEG components, whereas brainstem, right middle frontal gyrus (rMFG), and right orbitofrontal cortex (rOFC) correlate significantly only with late components. By orthogonalizing with respect to event-related activity, we found that variability in insula and temporoparietal junction is reflected in reaction time variability, rOFC and brainstem correlate with residual EEG variability, and ACC and rMFG are significantly correlated with both. To investigate interactions between these correlates of temporally specific EEG variability, we performed dynamic causal modeling (DCM) on the fMRI data. We found strong evidence for reciprocal effective connections between the brainstem and cortical regions. Our results support the adaptive gain theory of locus ceruleus-norepinephrine (LC-NE) function and the proposed functional relationship between the LC-NE system, right-hemisphere ventral attention network, and P300 EEG response.
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