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  Functional magnetic resonance imaging adaptation: a technique for studying the properties of neuronal networks

Tolias, A., Kourtzi, Z., & Logothetis, N. (2002). Functional magnetic resonance imaging adaptation: a technique for studying the properties of neuronal networks. In Exploratory analysis and data modeling in functional neuroimaging (pp. 109-125). Cambridge, MA, USA: MIT Press.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-DE34-2 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-DE35-F
Genre: Book Chapter

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 Creators:
Tolias, AS1, Author           
Kourtzi, Z1, 2, Author           
Logothetis, NK1, Author           
Sommer A. Wicher, F.T., Editor
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1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
2Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Abstract: Functional magnetic resonance imaging can be used to study the networks of neurons that underline different behaviors. The blood oxygenation level-dependent signal though, measures the activity averaged across heterogeneous population of neurons with different response characteristics. It is therefore often impossible to infer the properties of the underlying imaged neural populations by simply examining the fMRI signal. Here, we describe the use of an adaptation paradigm to study the properties of neuronal populations beyond the spatial resolution of fMRI.

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 Dates: 2002-12
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: ISBN: 0-262-19481-3
URI: http://mitpress.mit.edu/catalog/item/default.asp?tid=9191ttype=2
BibTex Citekey: 4499
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Title: Exploratory analysis and data modeling in functional neuroimaging
Source Genre: Book
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Publ. Info: Cambridge, MA, USA : MIT Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 109 - 125 Identifier: -