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Synchronized delta oscillations correlate with the resting-state functional MRI signal

Open access
Lu, Hanbing, Zuo, Yantao, Gu, Hong, Waltz, James A., Zhan, Wang, Scholl, Clara A., Rea, William, Yang, Yihong, Stein, Elliot A.·2007·Proceedings of the National Academy of Sciences

Abstract

Synchronized low-frequency spontaneous fluctuations of the functional MRI (fMRI) signal have recently been applied to investigate large-scale neuronal networks of the brain in the absence of specific task instructions. However, the underlying neural mechanisms of these fluctuations remain largely unknown. To this end, electrophysiological recordings and resting-state fMRI measurements were conducted in α-chloralose-anesthetized rats. Using a seed-voxel analysis strategy, region-specific, anesthetic dose-dependent fMRI resting-state functional connectivity was detected in bilateral primary somatosensory cortex (S1FL) of the resting brain. Cortical electroencephalographic signals were also recorded from bilateral S1FL; a visual cortex locus served as a control site. Results demonstrate that, unlike the evoked fMRI response that correlates with power changes in the γ bands, the resting-state fMRI signal correlates with the power coherence in low-frequency bands, particularly the δ band. These data indicate that hemodynamic fMRI signal differentially registers specific electrical oscillatory frequency band activity, suggesting that fMRI may be able to distinguish the ongoing from the evoked activity of the brain.

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Citations

Cites

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Metadata

Authors
Lu, H., Zuo, Y., Gu, H., Waltz, J. A., Zhan, W., Scholl, C. A., Rea, W., Yang, Y., & Stein, E. A.
Venue
Proceedings of the National Academy of Sciences
Published
2007-11-13
Volume
104
Issue
46
Pages
18265-18269
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2038427447
Cited by
417
References
8
FWCI
9.44
Type
journal article
Language
en
Open access
green

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.