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

被引:340
|
作者
Lu, Hanbing
Zuo, Yantao
Gu, Hong
Waltz, James A.
Zhan, Wang
Scholl, Clara A.
Rea, William
Yang, Yihong [1 ]
Stein, Elliot A.
机构
[1] NIDA, Neuroimaging Res Branch, Intramural Res Program, NIH, Baltimore, MD 21224 USA
[2] Univ Maryland, Sch Med, Maryland Psychiat Res Ctr, Baltimore, MD 21201 USA
关键词
electroencephalogram; spontaneous fluctuations; functional connectivity;
D O I
10.1073/pnas.0705791104
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 alpha-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 gamma bands, the resting-state fMRI signal correlates with the power coherence in low-frequency bands, particularly the delta 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.
引用
收藏
页码:18265 / 18269
页数:5
相关论文
共 50 条
  • [31] Resting-State Functional MRI Changes in Normal Human Aging
    Holodny, Andrei, I
    RADIOLOGY, 2022, 304 (03) : 633 - 634
  • [32] Mapping resting-state functional connectivity using perfusion MRI
    Chuang, Kai-Hsiang
    Van Gelderen, Peter
    Merkle, Hellmut
    Bodurka, Jerzy
    Ikonomidou, Vasiliki N.
    Koretsky, Alan P.
    Duyn, Jeff H.
    Talagala, S. Lalith
    NEUROIMAGE, 2008, 40 (04) : 1595 - 1605
  • [33] Frequency-phase analysis of resting-state functional MRI
    Gadi Goelman
    Rotem Dan
    Filip Růžička
    Ondrej Bezdicek
    Evžen Růžička
    Jan Roth
    Josef Vymazal
    Robert Jech
    Scientific Reports, 7
  • [34] Resting-State Functional Connectivity: Signal Origins and Analytic Methods
    Chen, Kai
    Azeez, Azeezat
    Chen, Donna Y.
    Biswal, Bharat B.
    NEUROIMAGING CLINICS OF NORTH AMERICA, 2020, 30 (01) : 15 - +
  • [35] Frequency-phase analysis of resting-state functional MRI
    Goelman, Gadi
    Dan, Rotem
    Ruzicka, Filip
    Bezdicek, Ondrej
    Ruzicka, Evzen
    Roth, Jan
    Vymazal, Josef
    Jech, Robert
    SCIENTIFIC REPORTS, 2017, 7
  • [36] Complexity organization of resting-state functional-MRI networks
    Trevino, Gabriel
    Lee, John J.
    Shimony, Joshua S.
    Luckett, Patrick H.
    Leuthardt, Eric C.
    HUMAN BRAIN MAPPING, 2024, 45 (12)
  • [37] Anti-correlated networks, global signal regression, and the effects of caffeine in resting-state functional MRI
    Wong, Chi Wah
    Olafsson, Valur
    Tal, Omer
    Liu, Thomas T.
    NEUROIMAGE, 2012, 63 (01) : 356 - 364
  • [38] Frequency-dependent genetic modulation of neuronal oscillations: a combined transcriptome and resting-state functional MRI study
    Liu, Siyu
    Zhang, Cun
    Meng, Chun
    Wang, Rui
    Jiang, Ping
    Cai, Huanhuan
    Zhao, Wenming
    Yu, Yongqiang
    Zhu, Jiajia
    CEREBRAL CORTEX, 2022, 32 (22) : 5132 - 5144
  • [39] Cerebral Autoregulation Evidenced by Synchronized Low Frequency Oscillations in Blood Pressure and Resting-State fMRI
    Whittaker, Joseph R.
    Driver, Ian D.
    Venzi, Marcello
    Bright, Molly G.
    Murphy, Kevin
    FRONTIERS IN NEUROSCIENCE, 2020, 14
  • [40] Extracting the values of resting-state functional connectivity that correlate with a tendency of internet addiction
    Izawa S.
    Tachikawa K.
    Ono Y.
    Kobayashi H.
    Kuriki S.
    Ishiyama A.
    1600, Japan Soc. of Med. Electronics and Biol. Engineering (55) : 39 - 44