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

Content Provider	PubMed Central
Author	Lu, Hanbing Zuo, Yantao Gu, Hong Waltz, James A. Zhan, Wang Scholl, Clara A. Rea, William Yang, Yihong Stein, Elliot A.
Copyright Year	2007
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.
Related Links	http://dx.doi.org/10.1073/pnas.0705791104
Ending Page	18269
Page Count	5
Starting Page	18265
File Format	PDF
ISSN	00278424
e-ISSN	10916490
Journal	Proceedings of the National Academy of Sciences of the United States of America
Issue Number	46
Volume Number	104
Language	English
Publisher	National Academy of Sciences
Publisher Date	2007-11-13
Access Restriction	Open
Rights Holder	National Academy of Sciences
Subject Keyword	General Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

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