ArticleeLife2024
Disparity in temporal and spatial relationships between resting-state electrophysiological and fMRI signals.
Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Baseline electrophysiology versus oxidative metabolism as traits of inter-network differences in neurometabolic association.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Article
- Personalized whole-brain Ising models with heterogeneous nodes capture differences among brain regions.bioRxiv : the preprint server for biology · 2026Article
- Article
- Type-I nNOS neurons orchestrate cortical neural activity and vasomotion.bioRxiv : the preprint server for biology · 2025Article
- Elucidating hemodynamics and neuro-glio-vascular signaling using rodent fMRI.Trends in neurosciences · 2025Review
- Investigating the relationships of structural and functional neural networks of primary visual cortex with engineered AAVs and chemogenetic-fMRI techniques.Theranostics · 2025Article
- Sequential Deactivation Across the Hippocampus-Thalamus-mPFC Pathway During Loss of Consciousness.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- The link between steady-state EEG and rs-fMRI metrics in healthy young adults: The effect of macrovascular correction.Imaging neuroscience (Cambridge, Mass.)Article
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3 authors.
Funding
Abstract
Resting-state brain networks (RSNs) have been widely applied in health and disease, but the interpretation of RSNs in terms of the underlying neural activity is unclear. To address this fundamental question, we conducted simultaneous recordings of whole-brain resting-state functional magnetic resonance imaging (rsfMRI) and electrophysiology signals in two separate brain regions of rats. Our data reveal that for both recording sites, spatial maps derived from band-specific local field potential (LFP) power can account for up to 90% of the spatial variability in RSNs derived from rsfMRI signals. Surprisingly, the time series of LFP band power can only explain to a maximum of 35% of the temporal variance of the local rsfMRI time course from the same site. In addition, regressing out time series of LFP power from rsfMRI signals has minimal impact on the spatial patterns of rsfMRI-based RSNs. This disparity in the spatial and temporal relationships between resting-state electrophysiology and rsfMRI signals suggests that electrophysiological activity alone does not fully explain the effects observed in the rsfMRI signal, implying the existence of an rsfMRI component contributed by 'electrophysiology-invisible' signals. These findings offer a novel perspective on our understanding of RSN interpretation.
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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.