ArticleFrontiers in neurology2012
EEG-fMRI Methods for the Study of Brain Networks during Sleep.
Article in Frontiers in neurology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
20 citing papers in PubMed, 52 citations in OpenAlex.
- Electroencephalography-functional magnetic resonance imaging using a familial temporal lobe epilepsy model in cats: an exploratory methodological pilot study.Journal of veterinary internal medicine · 2026Article
- Sleep circuit modulation: from animal models to human translation.Brain : a journal of neurology · 2026Review
- Transient destabilization of whole brain dynamics induced by N,N-Dimethyltryptamine (DMT).Communications biology · 2025Article
- Editorial: Multimodal approaches to investigating neural dynamics in cognition and related clinical conditions: integrating EEG, MEG, and fMRI data.Frontiers in systems neuroscience · 2025Article
- Assessing time series correlation significance: A parametric approach with application to physiological signals.Biomedical signal processing and control · 2024Article
- Scratching the structure of moral agency: insights from philosophy applied to neuroscience.Frontiers in neuroscience · 2023Review
- Multimodal EEG-fMRI: advancing insight into large-scale human brain dynamics.Current opinion in biomedical engineering · 2021Article
- Article
- Simultaneous fMRI-EEG-Based Characterisation of NREM Parasomnia Disease: Methods and Limitations.Diagnostics (Basel, Switzerland) · 2020Article
- Neuroimaging the sleeping brain: Insight on memory functioning in infants and toddlers.Infant behavior & development · 2020Review
- Abnormal Brain Network Topology During Non-rapid Eye Movement Sleep and Its Correlation With Cognitive Behavioral Abnormalities in Narcolepsy Type 1.Frontiers in neurology · 2020Article
- Dynamic functional connectivity states characterize NREM sleep and wakefulness.Human brain mapping · 2019Article
- Hydrogel-Based Organic Subdural Electrode with High Conformability to Brain Surface.Scientific reports · 2019Article
- qEEG Measures of Attentional and Memory Network Functions in Medical Students: Novel Targets for Pharmacopuncture to Improve Cognition and Academic Performance.Journal of pharmacopuncture · 2019Article
- All-night functional magnetic resonance imaging sleep studies.Journal of neuroscience methods · 2019Article
- Objective and subjective measures of prior sleep-wake behavior predict functional connectivity in the default mode network during NREM sleep.Brain and behavior · 2019Article
- Study of Resting-State Functional Connectivity Networks Using EEG Electrodes Position As Seed.Frontiers in neuroscience · 2018Article
- Decreased connectivity between the thalamus and the neocortex during human nonrapid eye movement sleep.Sleep · 2014Article
- Review
- Sleep and the functional connectome.NeuroImage · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Modern neuroimaging methods may provide unique insights into the mechanism and role of sleep, as well as into particular mechanisms of brain function in general. Many of the recent neuroimaging studies have used concurrent EEG and fMRI, which present unique technical challenges ranging from the difficulty of inducing sleep in the MRI environment to appropriate instrumentation and data processing methods to obtain artifact free data. In addition, the use of EEG-fMRI during sleep leads to unique data interpretation issues, as common approaches developed for the analysis of task-evoked activity do not apply to sleep. Reviewed are a variety of statistical approaches that can be used to characterize brain activity from fMRI data acquired during sleep, with an emphasis on approaches that investigate the presence of correlated activity between brain regions. Each of these approaches has advantages and disadvantages that must be considered in concert with the theoretical questions of interest. Specifically, fundamental theories of sleep control and function should be considered when designing these studies and when choosing the associated statistical approaches. For example, the notion that local brain activity during sleep may be triggered by local, use-dependent activity during wakefulness may be tested by analyzing sleep networks as statistically independent components. Alternatively, the involvement of regions in more global processes such as arousal may be investigated with correlation analysis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.