Dynamic resting state functional connectivity in awake and anesthetized rodents

Area of Science:

• Neuroscience
• Functional Magnetic Resonance Imaging (fMRI)

Background:

• Resting-state functional magnetic resonance imaging (rsfMRI) is crucial for studying brain networks.
• Traditional rsfMRI analysis averages functional connectivity over time, neglecting dynamic variations.
• Understanding dynamic functional connectivity in animal models is limited.

Purpose of the Study:

• To investigate the dynamic properties of resting-state functional connectivity (RSFC) in awake and anesthetized rats.
• To explore dynamic RSFC within the infralimbic cortex (IL) and primary somatosensory cortex (S1) networks.
• To assess the impact of anesthesia on dynamic RSFC.

Main Methods:

• Utilized the single-volume co-activation pattern (CAP) method to analyze rsfMRI data.
• Systematically studied dynamic RSFC in IL and S1 networks in rats.
• Compared dynamic RSFC characteristics between awake and anesthetized states.

Main Results:

• Identified spatially reproducible but temporally dynamic co-activation patterns (CAPs) in both IL and S1 networks.
• Demonstrated that anesthesia profoundly affects dynamic RSFC in cognitive/emotional circuits, with less impact on sensorimotor systems.
• Observed consistent temporal evolution patterns for individual CAPs.

Conclusions:

• Dynamic RSFC is a characteristic feature of rodent brain networks.
• Anesthesia significantly modulates dynamic functional connectivity, particularly in higher-order brain functions.
• Dynamic RSFC may be a conserved phenomenon across vertebrate animals, offering insights into brain disorders.