Search for fMRI BOLD signals in networks of spiking neurons
- PMID: 17432973
- DOI: 10.1111/j.1460-9568.2007.05408.x
Search for fMRI BOLD signals in networks of spiking neurons
Abstract
In a recent experiment, functional magnetic resonance imaging blood oxygen level-dependent (fMRI BOLD) signals were compared in different cortical areas (primary-visual and associative), when subjects were required covertly to name images in two protocols: sequences of images, with and without intervening delays. The amplitude of the BOLD signal in protocols with delay was found to be closer to that without delays in associative areas than in primary areas. The present study provides an exploratory proposal for the identification of the neural activity substrate of the BOLD signal in quasi-realistic networks of spiking neurons, in networks sustaining selective delay activity (associative) and in networks responsive to stimuli, but whose unique stationary state is one of spontaneous activity (primary). A variety of observables are 'recorded' in the network simulations, applying the experimental stimulation protocol. The ratios of the candidate BOLD signals, in the two protocols, are compared in networks with and without delay activity. There are several options for recovering the experimental result in the model networks. One common conclusion is that the distinguishing factor is the presence of delay activity. The effect of NMDAr is marginal. The ultimate quantitative agreement with the experiment results depends on a distinction of the baseline signal level from its value in delay-period spontaneous activity. This may be attributable to the subjects' attention. Modifying the baseline results in a quantitative agreement for the ratios, and provided a definite choice of the candidate signals. The proposed framework produces predictions for the BOLD signal in fMRI experiments, upon modification of the protocol presentation rate and the form of the response function.
Similar articles
-
"What" and "where" in visual working memory: a computational neurodynamical perspective for integrating FMRI and single-neuron data.J Cogn Neurosci. 2004 May;16(4):683-701. doi: 10.1162/089892904323057380. J Cogn Neurosci. 2004. PMID: 15165356
-
Defining neurocognitive networks in the BOLD new world of computed connectivity.Neuron. 2009 Apr 16;62(1):1-3. doi: 10.1016/j.neuron.2009.04.001. Neuron. 2009. PMID: 19376059
-
Optimizing the experimental design for ankle dorsiflexion fMRI.Neuroimage. 2004 Aug;22(4):1619-27. doi: 10.1016/j.neuroimage.2004.03.035. Neuroimage. 2004. PMID: 15275918
-
BOLD functional MRI in disease and pharmacological studies: room for improvement?Magn Reson Imaging. 2007 Jul;25(6):978-88. doi: 10.1016/j.mri.2007.03.018. Epub 2007 May 11. Magn Reson Imaging. 2007. PMID: 17499469 Review.
-
About being BOLD.Brain Res Brain Res Rev. 2005 Dec 15;50(2):229-43. doi: 10.1016/j.brainresrev.2005.07.001. Epub 2005 Oct 5. Brain Res Brain Res Rev. 2005. PMID: 16213027 Review.
Cited by
-
Correspondence between Resting-State Activity and Brain Gene Expression.Neuron. 2015 Nov 18;88(4):659-66. doi: 10.1016/j.neuron.2015.10.022. Neuron. 2015. PMID: 26590343 Free PMC article.
-
Implications of cortical balanced excitation and inhibition, functional heterogeneity, and sparseness of neuronal activity in fMRI.Neurosci Biobehav Rev. 2015 Oct;57:264-70. doi: 10.1016/j.neubiorev.2015.08.018. Epub 2015 Sep 1. Neurosci Biobehav Rev. 2015. PMID: 26341939 Free PMC article. Review.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical