ArticleCerebral cortex (New York, N.Y. : 1991)2015
Robust Long-Range Coordination of Spontaneous Neural Activity in Waking, Sleep and Anesthesia.
Article in Cerebral cortex (New York, N.Y. : 1991), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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
27 citing papers in PubMed.
- Time-resolved large-scale neural coactivations in macaque monkey.NeuroImage · 2025Article
- Spectral-switching analysis reveals real-time neuronal network representations of concurrent spontaneous naturalistic behaviors in human brain.bioRxiv : the preprint server for biology · 2024Article
- Article
- Beyond noise to function: reframing the global brain activity and its dynamic topography.Communications biology · 2022Review
- Selective blockade of rat brain T-type calcium channels provides insights on neurophysiological basis of arousal dependent resting state functional magnetic resonance imaging signals.Frontiers in neuroscience · 2022Article
- Brain Activity Fluctuations Propagate as Waves Traversing the Cortical Hierarchy.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Global waves synchronize the brain's functional systems with fluctuating arousal.Science advances · 2021Article
- Using non-invasive neuroimaging to enhance the care, well-being and experimental outcomes of laboratory non-human primates (monkeys).NeuroImage · 2021Review
- How Energy Supports Our Brain to Yield Consciousness: Insights From Neuroimaging Based on the Neuroenergetics Hypothesis.Frontiers in systems neuroscience · 2021Review
- Innate connectivity patterns drive the development of the visual word form area.Scientific reports · 2020Article
- Origins of the Resting-State Functional MRI Signal: Potential Limitations of the "Neurocentric" Model.Frontiers in neuroscience · 2019Review
- The Organization and Operation of Inferior Temporal Cortex.Annual review of vision science · 2018Review
- ALICE: A tool for automatic localization of intra-cranial electrodes for clinical and high-density grids.Journal of neuroscience methods · 2018Article
- Intracranial Electrophysiology Reveals Reproducible Intrinsic Functional Connectivity within Human Brain Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- An interspecies comparative study of invasive electrophysiological functional connectivity.Brain and behavior · 2017Article
- Repeatability of graph theoretical metrics derived from resting-state functional networks in paediatric epilepsy patients.The British journal of radiology · 2017Article
- Perfusion information extracted from resting state functional magnetic resonance imaging.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2017Article
- Dynamic Connectivity Patterns in Conscious and Unconscious Brain.Brain connectivity · 2017Article
- Brain Network Architecture and Global Intelligence in Children with Focal Epilepsy.AJNR. American journal of neuroradiology · 2017Article
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Although the emerging field of functional connectomics relies increasingly on the analysis of spontaneous fMRI signal covariation to infer the spatial fingerprint of the brain's large-scale functional networks, the nature of the underlying neuro-electrical activity remains incompletely understood. In part, this lack in understanding owes to the invasiveness of electrophysiological acquisition, the difficulty in their simultaneous recording over large cortical areas, and the absence of fully established methods for unbiased extraction of network information from these data. Here, we demonstrate a novel, data-driven approach to analyze spontaneous signal variations in electrocorticographic (ECoG) recordings from nearly entire hemispheres of macaque monkeys. Based on both broadband analysis and analysis of specific frequency bands, the ECoG signals were found to co-vary in patterns that resembled the fMRI networks reported in previous studies. The extracted patterns were robust against changes in consciousness associated with sleep and anesthesia, despite profound changes in intrinsic characteristics of the raw signals, including their spectral signatures. These results suggest that the spatial organization of large-scale brain networks results from neural activity with a broadband spectral feature and is a core aspect of the brain's physiology that does not depend on the state of consciousness.
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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.