Functional connectivity fMRI of the rodent brain: comparison of functional connectivity networks in rat and mouse.

At present, resting state functional MRI (rsfMRI) is increasingly used in human neuropathological research. The present study aims at implementing rsfMRI in mice, a species that holds the widest variety of neurological disease models. Moreover, by acquiring rsfMRI data with a comparable protocol for...

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Main Authors: Elisabeth Jonckers, Johan Van Audekerke, Geofrey De Visscher, Annemie Van der Linden, Marleen Verhoye
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3078931?pdf=render
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spelling doaj-9789a64b0e3e4e228dbf66ab770299302020-11-25T02:36:26ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-0164e1887610.1371/journal.pone.0018876Functional connectivity fMRI of the rodent brain: comparison of functional connectivity networks in rat and mouse.Elisabeth JonckersJohan Van AudekerkeGeofrey De VisscherAnnemie Van der LindenMarleen VerhoyeAt present, resting state functional MRI (rsfMRI) is increasingly used in human neuropathological research. The present study aims at implementing rsfMRI in mice, a species that holds the widest variety of neurological disease models. Moreover, by acquiring rsfMRI data with a comparable protocol for anesthesia, scanning and analysis, in both rats and mice we were able to compare findings obtained in both species. The outcome of rsfMRI is different for rats and mice and depends strongly on the applied number of components in the Independent Component Analysis (ICA). The most important difference was the appearance of unilateral cortical components for the mouse resting state data compared to bilateral rat cortical networks. Furthermore, a higher number of components was needed for the ICA analysis to separate different cortical regions in mice as compared to rats.http://europepmc.org/articles/PMC3078931?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Elisabeth Jonckers
Johan Van Audekerke
Geofrey De Visscher
Annemie Van der Linden
Marleen Verhoye
spellingShingle Elisabeth Jonckers
Johan Van Audekerke
Geofrey De Visscher
Annemie Van der Linden
Marleen Verhoye
Functional connectivity fMRI of the rodent brain: comparison of functional connectivity networks in rat and mouse.
PLoS ONE
author_facet Elisabeth Jonckers
Johan Van Audekerke
Geofrey De Visscher
Annemie Van der Linden
Marleen Verhoye
author_sort Elisabeth Jonckers
title Functional connectivity fMRI of the rodent brain: comparison of functional connectivity networks in rat and mouse.
title_short Functional connectivity fMRI of the rodent brain: comparison of functional connectivity networks in rat and mouse.
title_full Functional connectivity fMRI of the rodent brain: comparison of functional connectivity networks in rat and mouse.
title_fullStr Functional connectivity fMRI of the rodent brain: comparison of functional connectivity networks in rat and mouse.
title_full_unstemmed Functional connectivity fMRI of the rodent brain: comparison of functional connectivity networks in rat and mouse.
title_sort functional connectivity fmri of the rodent brain: comparison of functional connectivity networks in rat and mouse.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2011-01-01
description At present, resting state functional MRI (rsfMRI) is increasingly used in human neuropathological research. The present study aims at implementing rsfMRI in mice, a species that holds the widest variety of neurological disease models. Moreover, by acquiring rsfMRI data with a comparable protocol for anesthesia, scanning and analysis, in both rats and mice we were able to compare findings obtained in both species. The outcome of rsfMRI is different for rats and mice and depends strongly on the applied number of components in the Independent Component Analysis (ICA). The most important difference was the appearance of unilateral cortical components for the mouse resting state data compared to bilateral rat cortical networks. Furthermore, a higher number of components was needed for the ICA analysis to separate different cortical regions in mice as compared to rats.
url http://europepmc.org/articles/PMC3078931?pdf=render
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