Literature DB >> 22245345

Coupling between gamma oscillation and fMRI signal in the rat somatosensory cortex: its dependence on systemic physiological parameters.

Akira Sumiyoshi1, Hideaki Suzuki, Takeshi Ogawa, Jorge J Riera, Hiroaki Shimokawa, Ryuta Kawashima.   

Abstract

The simultaneous recordings of neuronal and hemodynamic signals have revealed a significant involvement of high frequency bands (e.g., gamma range, 25-70 Hz) in neurovascular coupling. However, the dependence on a physiological parameter is unknown. In this study, we performed simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) recordings in 12 Wistar rats using a conventional forepaw stimulation paradigm and concurrently monitored the systemic physiological parameters of the partial pressure of arterial oxygen, partial pressure of arterial carbon dioxide, pH, mean arterial blood pressure, and heart rate through the rat femoral artery. The high frequency bands in the artifact-free EEG signals, especially those in the gamma range, demonstrated a maximum correlation with fMRI signals in the rat somatosensory cortex. A multiple linear regression analysis demonstrated that the correlation coefficient between the gamma power and fMRI signal depended on the actual values of the physiological parameters (R(2)=0.20, p<0.05), whereas the gamma power and fMRI signal by itself were independent. Among the parameters, the heart rate had a statistically significant slope (95% CI: 0.00027-0.0016, p<0.01) in a multiple linear regression model. These results indicate that neurovascular coupling is mainly driven by gamma oscillations, as expected, but coupling or potential decoupling is strongly influenced by systemic physiological parameters, which dynamically reflect the baseline vital status of the subject.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22245345     DOI: 10.1016/j.neuroimage.2011.12.082

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  20 in total

1.  Neurovascular uncoupling under mild hypoxic hypoxia: an EEG-fMRI study in rats.

Authors:  Akira Sumiyoshi; Hideaki Suzuki; Hiroaki Shimokawa; Ryuta Kawashima
Journal:  J Cereb Blood Flow Metab       Date:  2012-07-25       Impact factor: 6.200

2.  The dual facet of gamma oscillations: separate visual and decision making circuits as revealed by simultaneous EEG/fMRI.

Authors:  João Castelhano; Isabel Catarina Duarte; Michael Wibral; Eugénio Rodriguez; Miguel Castelo-Branco
Journal:  Hum Brain Mapp       Date:  2014-05-16       Impact factor: 5.038

Review 3.  Neuronal networks and mediators of cortical neurovascular coupling responses in normal and altered brain states.

Authors:  C Lecrux; E Hamel
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-10-05       Impact factor: 6.237

4.  Exploring the advantages of multiband fMRI with simultaneous EEG to investigate coupling between gamma frequency neural activity and the BOLD response in humans.

Authors:  Makoto Uji; Ross Wilson; Susan T Francis; Karen J Mullinger; Stephen D Mayhew
Journal:  Hum Brain Mapp       Date:  2018-01-13       Impact factor: 5.038

5.  Automated classification of pain perception using high-density electroencephalography data.

Authors:  Gaurav Misra; Wei-En Wang; Derek B Archer; Arnab Roy; Stephen A Coombes
Journal:  J Neurophysiol       Date:  2016-11-30       Impact factor: 2.714

6.  Multiphasic modification of intrinsic functional connectivity of the rat brain during increasing levels of propofol.

Authors:  Xiping Liu; Siveshigan Pillay; Rupeng Li; Jeannette A Vizuete; Kimberly R Pechman; Kathleen M Schmainda; Anthony G Hudetz
Journal:  Neuroimage       Date:  2013-07-10       Impact factor: 6.556

7.  Optogenetic stimulation of GABA neurons can decrease local neuronal activity while increasing cortical blood flow.

Authors:  Eitan Anenberg; Allen W Chan; Yicheng Xie; Jeffrey M LeDue; Timothy H Murphy
Journal:  J Cereb Blood Flow Metab       Date:  2015-06-17       Impact factor: 6.200

8.  Long-latency reductions in gamma power predict hemodynamic changes that underlie the negative BOLD signal.

Authors:  Luke Boorman; Samuel Harris; Michael Bruyns-Haylett; Aneurin Kennerley; Ying Zheng; Chris Martin; Myles Jones; Peter Redgrave; Jason Berwick
Journal:  J Neurosci       Date:  2015-03-18       Impact factor: 6.167

9.  Different brain activation under left and right ventricular stimulation: an fMRI study in anesthetized rats.

Authors:  Hideaki Suzuki; Akira Sumiyoshi; Ryuta Kawashima; Hiroaki Shimokawa
Journal:  PLoS One       Date:  2013-02-22       Impact factor: 3.240

10.  Gamma oscillatory amplitude encodes stimulus intensity in primary somatosensory cortex.

Authors:  H E Rossiter; S F Worthen; C Witton; S D Hall; P L Furlong
Journal:  Front Hum Neurosci       Date:  2013-07-15       Impact factor: 3.169

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