Skip Navigation


Cerebral Cortex Advance Access originally published online on April 14, 2004
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow All Versions of this Article:
14/8/881    most recent
bhh047v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (31)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Kayser, C.
Right arrow Articles by König, P.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kayser, C.
Right arrow Articles by König, P.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Cerebral Cortex August 2004; 14:881-891
© Oxford University Press 2004


Article

A Comparison of Hemodynamic and Neural Responses in Cat Visual Cortex Using Complex Stimuli

Christoph Kayser1, Mina Kim2, Kamil Ugurbil2, Dae-Shik Kim2 and Peter König1

1 Institute of Neuroinformatics, University & ETH Zurich, 8057 Zurich, Switzerland, 2 Center for Magnetic Resonance Research, University of Minneapolis, Minneapolis, MN 55455, USA

We compare fMRI-BOLD responses in anesthetized cats with local field potentials (LFPs), aggregate high-frequency responses (analog-Mua) and spiking activity recorded in primary and higher visual cortex of alert animals. The similarity of the activations in these electrophysiological signals to those in the BOLD is quantified by counting recording sites where different stimuli elicit the same relative activation as in the imaging experiments. Using artificial stimuli, a comparison of BOLD and LFP strongly depends on the frequency range used. Stimulating with complex or natural stimuli reduces this frequency dependence and yields a good match of LFP and BOLD. In general, this match is best between 20 and 50 Hz. The measures of high-frequency activity behave qualitatively different: the responses of the analog-Mua match those of the LFP; the spiking activity shows a low concordance with the BOLD signal. This dissociation of BOLD and spiking activity is most prominent upon stimulation with natural stimuli.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Proc. Natl. Acad. Sci. USAHome page
S. D. Muthukumaraswamy, R. A.E. Edden, D. K. Jones, J. B. Swettenham, and K. D. Singh
Resting GABA concentration predicts peak gamma frequency and fMRI amplitude in response to visual stimulation in humans
PNAS, May 19, 2009; 106(20): 8356 - 8361.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
F. Angenstein, E. Kammerer, and H. Scheich
The BOLD Response in the Rat Hippocampus Depends Rather on Local Processing of Signals than on the Input or Output Activity. A Combined Functional MRI and Electrophysiological Study
J. Neurosci., February 25, 2009; 29(8): 2428 - 2439.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
R. Martuzzi, M. M. Murray, R. A. Meuli, J.-P. Thiran, P. P. Maeder, C. M. Michel, R. Grave de Peralta Menendez, and S. L. Gonzalez Andino
Methods for Determining Frequency- and Region-Dependent Relationships Between Estimated LFPs and BOLD Responses in Humans
J Neurophysiol, January 1, 2009; 101(1): 491 - 502.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
A. Belitski, A. Gretton, C. Magri, Y. Murayama, M. A. Montemurro, N. K. Logothetis, and S. Panzeri
Low-Frequency Local Field Potentials and Spikes in Primary Visual Cortex Convey Independent Visual Information
J. Neurosci., May 28, 2008; 28(22): 5696 - 5709.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
U. Werner-Reiss and J. M. Groh
A Rate Code for Sound Azimuth in Monkey Auditory Cortex: Implications for Human Neuroimaging Studies
J. Neurosci., April 2, 2008; 28(14): 3747 - 3758.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
L. M. Chen, G. H. Turner, R. M. Friedman, N. Zhang, J. C. Gore, A. W. Roe, and M. J. Avison
High-Resolution Maps of Real and Illusory Tactile Activation in Primary Somatosensory Cortex in Individual Monkeys with Functional Magnetic Resonance Imaging and Optical Imaging
J. Neurosci., August 22, 2007; 27(34): 9181 - 9191.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
J. Liu and W. T. Newsome
Local field potential in cortical area MT: stimulus tuning and behavioral correlations.
J. Neurosci., July 26, 2006; 26(30): 7779 - 7790.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
M. G. Knyazeva, E. Fornari, R. Meuli, and P. Maeder
Interhemispheric Integration at Different Spatial Scales: The Evidence From EEG Coherence and fMRI
J Neurophysiol, July 1, 2006; 96(1): 259 - 275.
[Abstract] [Full Text] [PDF]


Home page
ScienceHome page
J. Niessing, B. Ebisch, K. E. Schmidt, M. Niessing, W. Singer, and R. A. W. Galuske
Hemodynamic Signals Correlate Tightly with Synchronized Gamma Oscillations
Science, August 5, 2005; 309(5736): 948 - 951.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
A. A. Ghazanfar, J. X. Maier, K. L. Hoffman, and N. K. Logothetis
Multisensory Integration of Dynamic Faces and Voices in Rhesus Monkey Auditory Cortex
J. Neurosci., May 18, 2005; 25(20): 5004 - 5012.
[Abstract] [Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.