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Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat
Published on: August 28, 2021
Anticorrelated resting-state functional connectivity in awake rat brain
Zhifeng Liang1, Jean King, Nanyin Zhang
1Center for Comparative Neuroimaging, Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA 01655, USA.
Neuroimage
|August 26, 2011
Summary
Negative resting-state functional connectivity (RSFC) was robustly observed in awake rats, independent of preprocessing methods. This finding advances understanding of neural circuitry and brain networks by establishing a reliable method for studying anticorrelation.
Area of Science:
- Neuroscience
- Neuroimaging
- Brain Connectivity
Background:
- Resting-state functional connectivity (RSFC) is crucial for understanding brain function and disease.
- Focus on positive RSFC has limited understanding of negative RSFC (anticorrelation).
- Global signal correction, often used in RSFC analysis, can introduce artifactual anticorrelation, obscuring true biological signals.
Purpose of the Study:
- To demonstrate robust, artifact-free negative RSFC in a specific frontolimbic circuit.
- To investigate the preprocessing independence and functional significance of negative RSFC.
- To establish a reliable method for studying anticorrelation in neural circuits.
Main Methods:
- Functional magnetic resonance imaging (fMRI) was used to measure RSFC in awake and anesthetized rats.
- The infralimbic cortex (IL) and amygdala circuit was targeted for analysis.
- Data preprocessing methods were varied to assess the robustness of observed anticorrelation.
Main Results:
- Robust, anatomically specific, and reproducible anticorrelated RSFC was observed between the IL and amygdala in awake rats.
- This anticorrelation was independent of global signal correction and other preprocessing steps.
- Anticorrelated RSFC was absent in anesthetized rats, suggesting functional relevance.
Conclusions:
- Negative RSFC can be reliably detected in specific neural circuits, independent of preprocessing artifacts.
- This finding enhances the utility of RSFC for studying neural circuitry and brain networks.
- The study provides a foundation for investigating the neurobiological basis of anticorrelation, particularly in the IL-amygdala circuit.
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