Key result
Neuroimaging meta-analyses identified the bilateral dorsal anterior insula and midcingulate cortex as critical, functionally condition-independent hubs of the central autonomic system.
Why the study?
To evaluate the meta-analytic convergence of human neuroimaging studies investigating the neural basis of peripheral autonomic signal processing.
Meta-Analysis (n=792)
Neuroimaging meta-analysis identifies the bilateral dorsal anterior insula and midcingulate cortex as the core regions of the central autonomic network, with no robust evidence for divergent sympathetic and parasympathetic pathways.
These regions may serve as neuromodulation targets for disordered cardiovascular autonomic control; confirms a core, condition-independent central autonomic network.
The autonomic nervous system regulates dynamic body adaptations to internal and external environment changes. Capitalizing on two different algorithms (Analysis of Brain Coordinates and GingerALE) that differ in empirical assumptions, we scrutinized the meta-analytic convergence of human neuroimaging studies investigating the neural basis of peripheral autonomic signal processing. Among the selected studies, we identified 42 records reporting 44 different experiments and testing 792 healthy individuals. The results of the two different algorithms converge in identifying the bilateral dorsal anterior insula and midcingulate cortex as the critical areas of the central autonomic system (CAN). However, whereas the bilateral dorsal anterior insula appears to be involved in processing autonomic nervous system signals regardless of task type, activity in the midcingulate cortex appears to be primarily engaged in processing autonomic signals during cognitive tasks and task-free conditions. Applying an unbiased approach, we were able to identify a single functionally condition-independent circuit that supports CAN activity. Although partially overlapping with the salience network, this functional circuit includes, in addition to the bilateral insular cortex and midcingulate cortex, the bilateral inferior parietal lobules and small clusters in the bilateral middle frontal gyrus. Our results do not support the hypothesis of divergent pathways for the sympathetic and parasympathetic systems or a robust involvement of the default mode network, particularly during parasympathetic activity. However, these results may be due to the relatively low number of studies investigating the parasympathetic system (12%), making our results more consistent with the central processing network of sympathetic activity. Remarkably, the critical regions of the CAN observed in this meta-analysis are among the most reported co-activated areas in neuroimaging studies and have been repeatedly shown as being dysregulated across different mental and neurological disorders. This suggests that the central dynamic interaction maintaining bodily homeostasis reported in several brain imaging studies may be associated with increased autonomic nervous system engagement and that disruptions in this interplay may underpin unspecific pathological symptoms across mental and neurological disorders.
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Ferraro et al. (2022) conducted a meta-analysis in Healthy individuals (Central Autonomic System) (n=792). Autonomic nervous system signal processing was evaluated on Meta-analytic convergence of brain coordinates (Analysis of Brain Coordinates and GingerALE). Neuroimaging meta-analyses identified the bilateral dorsal anterior insula and midcingulate cortex as critical, functionally condition-independent hubs of the central autonomic system.
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