Anticorrelated resting-state functional connectivity in awake rat brain
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UMass Chan Affiliations
Department of PsychiatryDocument Type
Journal ArticlePublication Date
2012-01-16Keywords
AlgorithmsAnimals
*Artifacts
Brain
Image Enhancement
Image Interpretation, Computer-Assisted
Magnetic Resonance Imaging
Male
Nerve Net
Neural Pathways
Rats
Rats, Long-Evans
Reproducibility of Results
Rest
Sensitivity and Specificity
Statistics as Topic
Wakefulness
Neuroscience and Neurobiology
Psychiatry
Psychiatry and Psychology
Metadata
Show full item recordAbstract
Resting-state functional connectivity (RSFC) measured by functional magnetic resonance imaging has played an essential role in understanding neural circuitry and brain diseases. The vast majority of RSFC studies have been focused on positive RSFC, whereas our understanding about its conceptual counterpart - negative RSFC (i.e. anticorrelation) - remains elusive. To date, anticorrelated RSFC has yet been observed without the commonly used preprocessing step of global signal correction. However, this step can induce artifactual anticorrelation (Murphy et al., 2009), making it difficult to determine whether the observed anticorrelation in humans is a processing artifact (Fox et al., 2005). In this report we demonstrated robust anticorrelated RSFC in a well characterized frontolimbic circuit between the infralimbic cortex (IL) and amygdala in the awake rat. This anticorrelation was anatomically specific, highly reproducible and independent of preprocessing methods. Interestingly, this anticorrelated relationship was absent in anesthetized rats even with global signal correction, further supporting its functional significance. Establishing negative RSFC independent of data preprocessing methods will significantly enhance the applicability of RSFC in better understanding neural circuitries and brain networks. In addition, combining the neurobiological data of the IL-amygdala circuit in rodents, the finding of the present study will enable further investigation of the neurobiological basis underlying anticorrelation.Source
Neuroimage. 2012 Jan 16;59(2):1190-9. Epub 2011 Aug 12. Link to article on publisher's siteDOI
10.1016/j.neuroimage.2011.08.009Permanent Link to this Item
http://hdl.handle.net/20.500.14038/46047PubMed ID
21864689Notes
Co-author Zhifeng Liang is a student in the Program in Neuroscience in the Graduate School of Biomedical Sciences (GSBS) at UMass Medical School.Related Resources
Link to Article in PubMedae974a485f413a2113503eed53cd6c53
10.1016/j.neuroimage.2011.08.009