TY - JOUR
T1 - Mapping resting-state brain networks in conscious animals
AU - Zhang, Nanyin
AU - Rane, Pallavi
AU - Huang, Wei
AU - Liang, Zhifeng
AU - Kennedy, David
AU - Frazier, Jean A.
AU - King, Jean
N1 - Funding Information:
We thank Dr. Wei Chen for her technical assistance. This publication was made possible by the NIH Grant numbers 1RO1 MH067096-02 and 5R01DA021846-02 from the National Institute of Health. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH.
PY - 2010/6
Y1 - 2010/6
N2 - In the present study we mapped brain functional connectivity in the conscious rat at the " resting state" based on intrinsic blood-oxygenation-level dependent (BOLD) fluctuations. The conscious condition eliminated potential confounding effects of anesthetic agents on the connectivity between brain regions. Indeed, using correlational analysis we identified multiple cortical and subcortical regions that demonstrated temporally synchronous variation with anatomically well-defined regions that are crucial to cognitive and emotional information processing including the prefrontal cortex (PFC), thalamus and retrosplenial cortex. The functional connectivity maps created were stringently validated by controlling for false positive detection of correlation, the physiologic basis of the signal source, as well as quantitatively evaluating the reproducibility of maps. Taken together, the present study has demonstrated the feasibility of assessing functional connectivity in conscious animals using fMRI and thus provided a convenient and non-invasive tool to systematically investigate the connectional architecture of selected brain networks in multiple animal models.
AB - In the present study we mapped brain functional connectivity in the conscious rat at the " resting state" based on intrinsic blood-oxygenation-level dependent (BOLD) fluctuations. The conscious condition eliminated potential confounding effects of anesthetic agents on the connectivity between brain regions. Indeed, using correlational analysis we identified multiple cortical and subcortical regions that demonstrated temporally synchronous variation with anatomically well-defined regions that are crucial to cognitive and emotional information processing including the prefrontal cortex (PFC), thalamus and retrosplenial cortex. The functional connectivity maps created were stringently validated by controlling for false positive detection of correlation, the physiologic basis of the signal source, as well as quantitatively evaluating the reproducibility of maps. Taken together, the present study has demonstrated the feasibility of assessing functional connectivity in conscious animals using fMRI and thus provided a convenient and non-invasive tool to systematically investigate the connectional architecture of selected brain networks in multiple animal models.
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U2 - 10.1016/j.jneumeth.2010.04.001
DO - 10.1016/j.jneumeth.2010.04.001
M3 - Article
C2 - 20382183
AN - SCOPUS:77953133587
SN - 0165-0270
VL - 189
SP - 186
EP - 196
JO - Journal of Neuroscience Methods
JF - Journal of Neuroscience Methods
IS - 2
ER -