ReviewNature neuroscience2018
Investigating large-scale brain dynamics using field potential recordings: analysis and interpretation.
Review in Nature neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 204 papers, 1 of them a synthesis that pooled it.
What it found
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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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
204 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Aperiodic Neural Activity in Clinical Investigations.The European journal of neuroscience · 2025Pooled it
- Insights into the neural mechanisms supporting cognitive stability and flexibility from human intracranial electroencephalography.Neuroscience and biobehavioral reviews · 2026Review
- Decoding instrumental lever pressing from prefrontal, accumbens, and hippocampal local field potentials: conservation across sex, task, and dopamine depletion.bioRxiv : the preprint server for biology · 2026Article
- Dichotomy between extracellular signatures of active dendritic chemical synapses and gap junctions.eLife · 2026Article
- Localized amyloid-β oligomers in the lateral entorhinal cortex drives olfactory dysfunction through aberrant neuronal and network activity.Acta neuropathologica communications · 2026Article
- Metric validation for detection of delayed and directed coupling.Journal of neural engineering · 2026Article
- Article
- Distinct laminar origins of sensory-evoked high-gamma and low-frequency ECoG signals revealed by optogenetics.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Unbiased Segmentation and Multifeature Classification of Cortical Neuronal Activity Reveals Complex Dynamics Under Anesthesia.Neuroscience bulletin · 2026Article
- Odor identity decoding by mitral/tufted cells in the olfactory bulb from large-scale pooled datasets.iScience · 2026Article
- High-Accuracy Detection of Odor Presence from Olfactory Bulb Local Field Potentials via Deep Neural Networks.Sensors (Basel, Switzerland) · 2026Article
- Nested spatiotemporal theta-gamma waves organize hierarchical processing across the mouse visual cortex.Nature communications · 2026Article
- Saccade-related LFP power transients in the primate amygdala and hippocampus linked to the perception of social status.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Cross-population amplitude coupling in high-dimensional oscillatory neural time series.Frontiers in computational neuroscience · 2026Article
- Neural synchrony links sensorimotor cortices in a network for facial motor control.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Cholinergic modulation mediates attentional mechanism to enhance coherence between cortical layers in macaque V1 and V4.Scientific reports · 2025Article
- Ephaptic coupling and power fluctuations in depression.bioRxiv : the preprint server for biology · 2025Article
- Cortical state contributions to neuronal response variability in the early visual cortex: A system identification approach.PLoS computational biology · 2025Article
- Distinct laminar origins of high-gamma and low-frequency ECoG signals revealed by optogenetics.bioRxiv : the preprint server for biology · 2025Article
- Simulation of evoked responses to transcranial magnetic stimulation using a multiscale cortical circuit model.bioRxiv : the preprint server for biology · 2025Article
144 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
New technologies to record electrical activity from the brain on a massive scale offer tremendous opportunities for discovery. Electrical measurements of large-scale brain dynamics, termed field potentials, are especially important to understanding and treating the human brain. Here, our goal is to provide best practices on how field potential recordings (electroencephalograms, magnetoencephalograms, electrocorticograms and local field potentials) can be analyzed to identify large-scale brain dynamics, and to highlight critical issues and limitations of interpretation in current work. We focus our discussion of analyses around the broad themes of activation, correlation, communication and coding. We provide recommendations for interpreting the data using forward and inverse models. The forward model describes how field potentials are generated by the activity of populations of neurons. The inverse model describes how to infer the activity of populations of neurons from field potential recordings. A recurring theme is the challenge of understanding how field potentials reflect neuronal population activity given the complexity of the underlying brain systems.
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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.