Causal modelling and brain connectivity in functional magnetic resonance imaging

Recent advances in data analysis and modeling allow the use of fMRI data to ask not just which brain regions are involved in various cognitive and perceptual tasks, but also how they communicate with each other. Karl Friston examines two different state-of-the-art approaches to modeling brain connec...

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Bibliographic Details
Published inPLoS biology Vol. 7; no. 2; pp. e33 - e1000033
Main Author Friston, Karl
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 01.02.2009
Public Library of Science (PLoS)
Subjects
Animals
Brain
Brain - anatomy & histology
Brain Mapping - methods
Computational Biology
Electroencephalography
Hemodynamics - physiology
Humans
Influence
Localization of functions
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Medical imaging
Methods
Models, Animal
Models, Neurological
Nerve Net - physiology
Neuroimaging
Neurological Disorders
Neurology
Neuroscience
NMR
Nuclear magnetic resonance
Primer
Radiology and Medical Imaging
Synaptic Transmission - physiology
United Kingdom
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Summary:Recent advances in data analysis and modeling allow the use of fMRI data to ask not just which brain regions are involved in various cognitive and perceptual tasks, but also how they communicate with each other. Karl Friston examines two different state-of-the-art approaches to modeling brain connectivity using neuroimaging.
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ISSN:1544-9173
1545-7885
1545-7885
DOI:10.1371/journal.pbio.1000033