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  Neurovascular coupling dynamics in primary visual cortex during spontaneous activity

Biessmann, F., Meinecke, F., Murayama, Y., Logothetis, N., & Müller, K.-R. (2009). Neurovascular coupling dynamics in primary visual cortex during spontaneous activity. In 6th International Ph.D. Symposium: Berlin Brain Days (pp. 18).

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 Creators:
Biessmann, F1, 2, Author           
Meinecke, FC, Author
Murayama, Y1, 2, Author           
Logothetis, NK1, 2, Author           
Müller, K-R2, 3, 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, ou_1497794              
3Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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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 nature of the BOLD signal. There are two common assumptions that might lead astray interpretations of experimental re - sults: For one, fMRI data has spatial dependencies; each fMRI voxel might be strongly correlated with some voxels but not with others. These spatial depen - dencies are neglected in many analysis methods by assuming statistical indepen - dence between voxels. Secondly, the BOLD response to neural activity is not in - stantaneous and the exact shape of the hemodynamic response function (HRF) changes, e.g., across subjects. Most fMRI analyses do not take this variability into account and assume a canonical HRF. In this study we employ a recently developed machine learning algorithm to estimate the spatial correlation structure and the temporal dynamics of the he - modynamic response to spontaneous neural activity. We present results from simultaneous recordings of neural activity and BOLD response in primary vi - sual cortex (V1) of the non-human primate. Our results confirm well established models of the HRF and reveal the spatial correlation structure in V1. The spatial pattern that correlates best with neural activity can be used to study functional connectivity. This connectivity measure does not depend on model assumptions about neural activity or neurovascular coupling mechanisms. In contrast the connectivity pattern is computed directly from intracranially measured neural activity and thereby complements existing functional connectivity measures that are based on fMRI data only.

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 Dates: 2009-12
 Publication Status: Published online
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Title: 6th International Ph.D. Symposium: Berlin Brain Days
Place of Event: Berlin, Germany
Start-/End Date: 2009-12-09 - 2009-12-11

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Title: 6th International Ph.D. Symposium: Berlin Brain Days
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 18 Identifier: -