ArticleScientific reports2019
On the Relationship between MRI and Local Field Potential Measurements of Spatial and Temporal Variations in Functional Connectivity.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- Transcranial focused ultrasound modulates spiking, LFP, and BOLD activity in the primate thalamus.Nature communications · 2026Article
- Technical considerations of functional MRI in deep brain stimulation: recent advances and future perspectives.NeuroImage · 2026Review
- Nonlinear Asymmetric Blood Oxygenation Level Dependent Responses in Somatosensory Cortex.Human brain mapping · 2026Article
- From microstates to macroscales: A Critical Review of Maximum Entropy Modeling and Energy Landscape Analysis in functional MRI.Research square · 2025Article
- Peripheral contributions to resting state brain dynamics.Nature communications · 2024Article
- Rest assured: Dynamic functional connectivity and the baseline state of the human brain.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Non-Stationary Dynamic Mode Decomposition.bioRxiv : the preprint server for biology · 2023Article
- Non-Stationary Dynamic Mode Decomposition.IEEE access : practical innovations, open solutions · 2023Article
- Altered bladder-related brain network in multiple sclerosis women with voiding dysfunction.Neurourology and urodynamics · 2022Article
- Tau deposition patterns are associated with functional connectivity in primary tauopathies.Nature communications · 2022Article
- Pelvic Pain Alters Functional Connectivity Between Anterior Cingulate Cortex and Hippocampus in Both Humans and a Rat Model.Frontiers in systems neuroscience · 2021Article
- Origins of the Resting-State Functional MRI Signal: Potential Limitations of the "Neurocentric" Model.Frontiers in neuroscience · 2019Review
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Correlations between fluctuations in resting state BOLD fMRI signals are interpreted as measures of functional connectivity (FC), but the neural basis of their origins and their relationships to specific features of underlying electrophysiologic activity, have not been fully established. In particular, the dependence of FC metrics on different frequency bands of local field potentials (LFPs), and the relationship of dynamic changes in BOLD FC to underlying temporal variations of LFP correlations, are not known. We compared the spatial profiles of resting state coherences of different frequency bands of LFP signals, with high resolution resting state BOLD FC measurements. We also compared the probability distributions of temporal variations of connectivity in both modalities using a Markov chain model-based approach. We analyzed data obtained from the primary somatosensory (S1) cortex of monkeys. We found that in areas 3b and 1 of S1 cortex, low frequency LFP signal fluctuations were the main contributions to resting state LFP coherence. Additionally, the dynamic changes of BOLD FC behaved most similarly to the LFP low frequency signal coherence. These results indicate that, within the S1 cortex meso-scale circuit studied, resting state FC measures from BOLD fMRI mainly reflect contributions from low frequency LFP signals and their dynamic changes.
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