ArticleThe European journal of neuroscience2018
What does scalp electroencephalogram coherence tell us about long-range cortical networks?
Article in The European journal of neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 24 citations in OpenAlex.
- Resonant hierarchies: a multiscale framework for oscillatory dynamics in the brain.Frontiers in psychology · 2026Article
- Age-Related Discrimination of Visual-Evoked Potentials Using Cross-Coherence Analysis.Journal of biomedical physics & engineering · 2025Article
- Distractor anticipation during working memory is associated with theta and beta oscillations across spatial scales.Frontiers in integrative neuroscience · 2025Article
- Task-related changes in aperiodic activity are related to visual working memory capacity independent of event-related potentials and alpha oscillations.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Normative Data of Axial Length, Retinal Thickness Measurements, Visual Evoked Potentials, and Full-Field Electroretinography in Female, Wild-Type Minipigs.Translational vision science & technology · 2021Article
- Decoding of Attentional State Using High-Frequency Local Field Potential Is As Accurate As Using Spikes.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
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- Distinct Sources of Variability Affect Eye Movement Preparation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- A comparison between scalp- and source-reconstructed EEG networks.Scientific reports · 2018Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Long-range interactions between cortical areas are undoubtedly a key to the computational power of the brain. For healthy human subjects, the premier method for measuring brain activity on fast timescales is electroencephalography (EEG), and coherence between EEG signals is often used to assay functional connectivity between different brain regions. However, the nature of the underlying brain activity that is reflected in EEG coherence is currently the realm of speculation, because seldom have EEG signals been recorded simultaneously with intracranial recordings near cell bodies in multiple brain areas. Here, we take the early steps towards narrowing this gap in our understanding of EEG coherence by measuring local field potentials with microelectrode arrays in two brain areas (extrastriate visual area V4 and dorsolateral prefrontal cortex) simultaneously with EEG at the nearby scalp in rhesus macaque monkeys. Although we found inter-area coherence at both scales of measurement, we did not find that scalp-level coherence was reliably related to coherence between brain areas measured intracranially on a trial-to-trial basis, despite that scalp-level EEG was related to other important features of neural oscillations, such as trial-to-trial variability in overall amplitudes. This suggests that caution must be exercised when interpreting EEG coherence effects, and new theories devised about what aspects of neural activity long-range coherence in the EEG reflects.
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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.