ArticleHuman brain mapping2016
Correlated inter-regional variations in low frequency local field potentials and resting state BOLD signals within S1 cortex of monkeys.
Article in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- The neural basis of resting-state fMRI functional connectivity in fronto-limbic circuits revealed by chemogenetic manipulation.Nature communications · 2024Article
- Detection and characterization of resting state functional networks in squirrel monkey brain.Cerebral cortex communications · 2023Article
- Article
- The differential association between local neurotransmitter levels and whole-brain resting-state functional connectivity in two distinct cingulate cortex subregions.Human brain mapping · 2022Article
- Localizing Spectral Interactions in the Resting State Network Using the Hilbert-Huang Transform.Brain sciences · 2022Article
- Using non-invasive neuroimaging to enhance the care, well-being and experimental outcomes of laboratory non-human primates (monkeys).NeuroImage · 2021Review
- On the Relationship between MRI and Local Field Potential Measurements of Spatial and Temporal Variations in Functional Connectivity.Scientific reports · 2019Article
- Intrinsic functional architecture of the non-human primate spinal cord derived from fMRI and electrophysiology.Nature communications · 2019Article
- Functional connectivity with cortical depth assessed by resting state fMRI of subregions of S1 in squirrel monkeys.Human brain mapping · 2019Article
- Article
- Discrete Modules and Mesoscale Functional Circuits for Thermal Nociception within Primate S1 Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Correlated Disruption of Resting-State fMRI, LFP, and Spike Connectivity between Area 3b and S2 following Spinal Cord Injury in Monkeys.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017Article
- The VALiDATe29 MRI Based Multi-Channel Atlas of the Squirrel Monkey Brain.Neuroinformatics · 2017Article
- Biophysical and neural basis of resting state functional connectivity: Evidence from non-human primates.Magnetic resonance imaging · 2017Review
- High spatial correspondence at a columnar level between activation and resting state fMRI signals and local field potentials.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Effects of isoflurane anesthesia on resting-state fMRI signals and functional connectivity within primary somatosensory cortex of monkeys.Brain and behavior · 2016Article
Corrections and comments
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4 authors.
Funding
Abstract
The hypothesis that specific frequency components of the spontaneous local field potentials (LFPs) underlie low frequency fluctuations of resting state fMRI (rsfMRI) signals was tested. The previous analyses of rsfMRI signals revealed differential inter-regional correlations among areas 3a, 3b, and 1 of primary somatosensory cortex (S1) in anesthetized monkeys (Wang et al. [2013]: Neuron 78:1116-1126). Here LFP band(s) which correlated between S1 regions, and how these inter-regional correlation differences covaried with rsfMRI signals were examined. LFP signals were filtered into seven bands (delta, theta, alpha, beta, gamma low, gamma high, and gamma very high), and then a Hilbert transformation was applied to obtain measures of instantaneous amplitudes and temporal lags between regions of interest (ROI) digit-digit pairs (areas 3b-area 1, area 3a-area 1, area 3a-area 3b) and digit-face pairs (area 3b-face, area 1-face, and area 3a-face). It was found that variations in the inter-regional correlation strengths between digit-digit and digit-face pairs in the delta (1-4 Hz), alpha (9-14 Hz), beta (15-30 Hz), and gamma (31-50 Hz) bands parallel those of rsfMRI signals to varying degrees. Temporal lags between digit-digit area pairs varied across LFP bands, with area 3a mostly leading areas 1/2 and 3b. In summary, the data demonstrates that the low and middle frequency range (1-50 Hz) of spontaneous LFP signals similarly covary with the low frequency fluctuations of rsfMRI signals within local circuits of S1, supporting a neuronal electrophysiological basis of rsfMRI signals. Inter-areal LFP temporal lag differences provided novel insights into the directionality of information flow among S1 areas at rest. Hum Brain Mapp 37:2755-2766, 2016. © 2016 Wiley Periodicals, Inc.
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