Literature DB >> 16697664

The neural basis of the hemodynamic response nonlinearity in human primary visual cortex: Implications for neurovascular coupling mechanism.

Xiaohong Wan1, Jorge Riera, Kazuki Iwata, Makoto Takahashi, Toshio Wakabayashi, Ryuta Kawashima.   

Abstract

It has been well recognized that the nonlinear hemodynamic responses of the blood oxygenation level-dependent (BOLD) functional MRI (fMRI) are important and ubiquitous in a series of experimental paradigms, especially for the event-related fMRI. Although this phenomenon has been intensively studied and it has been found that the post-capillary venous expansion is an intrinsically nonlinear mechanical process, the existence of an additional neural basis for the nonlinearity has not been clearly shown. In this paper, we assessed the correlation between the electric and vascular indices by performing simultaneous electroencephalography (EEG) and fMRI recordings in humans during a series of visual stimulation (i.e., radial checkerboard). With changes of the visual stimulation frequencies (from 0.5 to 16 Hz) and contrasts (from 1% to 100%), both the event related potentials (ERPs) and hemodynamic responses show nonlinear behaviors. In particular, the mean power of the brain electric sources and the neuronal efficacies (as originally defined in the hemodynamics model [Friston et al. Neuroimage, 12, 466-477, 2000], here represent the vascular inputs) in primary visual cortex consistently show a linear correlation for all subjects. This indicates that the hemodynamic response nonlinearity found in this paper primarily reflects the nonlinearity of underlying neural activity. Most importantly, this finding underpins a nonlinear neurovascular coupling. Specifically, it is shown that the transferring function of the neurovascular coupling is likely a power transducer, which integrates the fast dynamics of neural activity into the vascular input of slow hemodynamics.

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Year:  2006        PMID: 16697664     DOI: 10.1016/j.neuroimage.2006.03.040

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


  28 in total

1.  BOLD consistently matches electrophysiology in human sensorimotor cortex at increasing movement rates: a combined 7T fMRI and ECoG study on neurovascular coupling.

Authors:  Jeroen C W Siero; Dora Hermes; Hans Hoogduin; Peter R Luijten; Natalia Petridou; Nick F Ramsey
Journal:  J Cereb Blood Flow Metab       Date:  2013-06-26       Impact factor: 6.200

2.  Nonlinearities in rapid event-related fMRI explained by stimulus scaling.

Authors:  Genevieve M Heckman; Seth E Bouvier; Valerie A Carr; Erin M Harley; Kristen S Cardinal; Stephen A Engel
Journal:  Neuroimage       Date:  2006-11-17       Impact factor: 6.556

3.  Nonlinear local electrovascular coupling. I: A theoretical model.

Authors:  Jorge J Riera; Xiaohong Wan; Juan Carlos Jimenez; Ryuta Kawashima
Journal:  Hum Brain Mapp       Date:  2006-11       Impact factor: 5.038

4.  Nonlinear local electrovascular coupling. II: From data to neuronal masses.

Authors:  J J Riera; J C Jimenez; X Wan; R Kawashima; T Ozaki
Journal:  Hum Brain Mapp       Date:  2007-04       Impact factor: 5.038

5.  A novel method for integrating MEG and BOLD fMRI signals with the linear convolution model in human primary somatosensory cortex.

Authors:  Cathy Nangini; Fred Tam; Simon J Graham
Journal:  Hum Brain Mapp       Date:  2008-01       Impact factor: 5.038

6.  fMRI-EEG integrated cortical source imaging by use of time-variant spatial constraints.

Authors:  Zhongming Liu; Bin He
Journal:  Neuroimage       Date:  2007-10-12       Impact factor: 6.556

7.  Electromagnetic source imaging: Backus-Gilbert resolution spread function-constrained and functional MRI-guided spatial filtering.

Authors:  Xiaohong Wan; Atsushi Sekiguchi; Satoru Yokoyama; Jorge Riera; Ryuta Kawashima
Journal:  Hum Brain Mapp       Date:  2008-06       Impact factor: 5.038

8.  Source estimates for MEG/EEG visual evoked responses constrained by multiple, retinotopically-mapped stimulus locations.

Authors:  Donald J Hagler; Eric Halgren; Antigona Martinez; Mingxiong Huang; Steven A Hillyard; Anders M Dale
Journal:  Hum Brain Mapp       Date:  2009-04       Impact factor: 5.038

9.  Relationship of the BOLD signal with VEP for ultrashort duration visual stimuli (0.1 to 5 ms) in humans.

Authors:  Bariş Yeşilyurt; Kevin Whittingstall; Kâmil Uğurbil; Nikos K Logothetis; Kâmil Uludağ
Journal:  J Cereb Blood Flow Metab       Date:  2009-10-21       Impact factor: 6.200

10.  Estimating the transfer function from neuronal activity to BOLD using simultaneous EEG-fMRI.

Authors:  M J Rosa; J Kilner; F Blankenburg; O Josephs; W Penny
Journal:  Neuroimage       Date:  2009-09-22       Impact factor: 6.556

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