Relationship between central autonomic effective connectivity and heart rate variability: A Resting-state fMRI
Liangsuo Ma1, Larry D Keen2, Joel L Steinberg3
1Institute for Drug and Alcohol Studies, Department of Psychiatry, Virginia Commonwealth University, 203 East Cary Street, Suite 202, Richmond 23219, VA, United States; Department of Psychiatry, Virginia Commonwealth University, VA, United States.
Neuroimage
|September 27, 2024
Summary
The central autonomic network
Area of Science:
- Neuroscience
- Autonomic Nervous System Research
- Cardiovascular Regulation
Background:
- The central autonomic network (CAN) regulates physiological functions via the autonomic nervous system.
- Heart rate variability (HRV) reflects the CAN's regulatory capacity.
- Neural functional connectivities of the CAN and HRV are known, but effective connectivities are not.
Purpose of the Study:
- To investigate the effective (directional) neural connectivities associated with heart rate variability (HRV) and the central autonomic network (CAN).
- To elucidate the brain's top-down and bottom-up regulatory circuits influencing HRV.
- To identify specific neural pathways involved in cardiodynamic regulation.
Main Methods:
- Resting-state functional magnetic resonance imaging (fMRI) was used in 34 healthy adults.
- Dynamic causal modeling (DCM) with parametric empirical Bayes analyses was applied.
- Whole-brain analyses identified regions associated with HRV.
Main Results:
- Twelve brain regions associated with HRV were identified.
- Effective connectivities from the right amygdala to the anterior cingulate cortex and ventrolateral prefrontal cortex were found.
- These amygdala-prefrontal pathways showed a negative relationship with HRV and a positive relationship with heart rate.
Conclusions:
- Effective connectivities from the amygdala to the prefrontal cortex are linked to HRV regulation.
- These pathways may represent a key neural circuit for controlling cardiodynamics.
- This study provides novel insights into the brain's regulation of heart rate variability.
Keywords:
Dynamic causal modelingEffective connectivityHeart rate variabilityHeart rate, autonomicResting stateMore Related Videos
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