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  Spatio-Temporal Coupling between Neural Activity and Bold Response in Primary Visual Cortex

Biessmann, F., Murayama, Y., Meinecke, F., Logothetis, N., & Müller, K.-R. (2010). Spatio-Temporal Coupling between Neural Activity and Bold Response in Primary Visual Cortex. Poster presented at AREADNE 2010: Research in Encoding And Decoding of Neural Ensembles, Santorini, Greece.

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http://www.areadne.org/2010/home.html (Publisher version)
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 Creators:
Biessmann, F1, 2, Author           
Murayama, Y1, 2, Author           
Meinecke, FC, Author
Logothetis, NK1, 2, Author           
Müller, K-R, Author           
Affiliations:
1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Neural activity in the brain is correlated with the blood-oxygen level dependent (BOLD) contrast which can be measured non-invasively by functional magnetic resonance imaging (fMRI). Up to date, many fMRI analysis methods are based on simplifying assumptions about the BOLD signal. Two popular assumptions are spatial independence and homogeneity of the haemodynamic response function (HRF) across voxels. As single voxels usually are not independent and moreover also exhibit different haemodynamic response characteristics, these assumptions might lead astray interpretations of fMRI data. In this study we present an analysis framework that reveals the spatio-temporal correlation structure between simultaneously measured intracortical neurophysiological activity in primary visual cortex of the non-human primate and BOLD response. Given the spectrograms of neurophysiological activity and the simultaneously recorded BOLD data we compute a spatiotemporal convolution that links the activity measured at the electrode to the multivariate BOLD response. The convolution can be interpreted as the pattern in time-voxel space that reflects best the neural activity as it maximises the canonical correlation [1] between neural and haemodynamic activity. Inspection of the estimated time-voxel patterns yields new insights in the spatio-temporal dependency structure of neurovascular coupling mechanisms. This study thereby extends previous results reported in [2,3], where the convolution was a time-frequency convolution estimated for the neurophysiological activity. We show results from data collected during spontaneous activity and during visual stimulation. The analysis resulted in robust spatio-temporal coupling patterns across different experimental conditions. We compared the multivariate patterns with univariate coupling measures and spatial principal component analysis (SPCA), a popular method for connectivity analysis on fMRI data. Our findings suggest that neither univariate methods nor unimodal methods such as SPCA, which are based on autocorrelations of fMRI data only, can recover the multivariate spatio-temporal coupling structure in primary visual cortex.

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 Dates: 2010-06
 Publication Status: Published in print
 Pages: -
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 Rev. Type: -
 Identifiers: BibTex Citekey: 6813
 Degree: -

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Title: AREADNE 2010: Research in Encoding And Decoding of Neural Ensembles
Place of Event: Santorini, Greece
Start-/End Date: 2010-06-17 - 2010-06-20

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Title: AREADNE 2010: Research in Encoding And Decoding of Neural Ensembles
Source Genre: Proceedings
 Creator(s):
Hatsopoulos, NG, Editor
Pezaris, JS, Editor
Affiliations:
-
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 51 Identifier: ISSN: 2155-3203