» Articles » PMID: 23785162

The Autonomic Brain: an Activation Likelihood Estimation Meta-analysis for Central Processing of Autonomic Function

Overview
Journal J Neurosci
Specialty Neurology
Date 2013 Jun 21
PMID 23785162
Citations 359
Authors
Affiliations
Soon will be listed here.
Abstract

The autonomic nervous system (ANS) is of paramount importance for daily life. Its regulatory action on respiratory, cardiovascular, digestive, endocrine, and many other systems is controlled by a number of structures in the CNS. While the majority of these nuclei and cortices have been identified in animal models, neuroimaging studies have recently begun to shed light on central autonomic processing in humans. In this study, we used activation likelihood estimation to conduct a meta-analysis of human neuroimaging experiments evaluating central autonomic processing to localize (1) cortical and subcortical areas involved in autonomic processing, (2) potential subsystems for the sympathetic and parasympathetic divisions of the ANS, and (3) potential subsystems for specific ANS responses to different stimuli/tasks. Across all tasks, we identified a set of consistently activated brain regions, comprising left amygdala, right anterior and left posterior insula and midcingulate cortices that form the core of the central autonomic network. While sympathetic-associated regions predominate in executive- and salience-processing networks, parasympathetic regions predominate in the default mode network. Hence, central processing of autonomic function does not simply involve a monolithic network of brain regions, instead showing elements of task and division specificity.

Citing Articles

Myocardial injury in spontaneous intracerebral hemorrhage is not predicted by prior cardiac disease or neurological status: results from the Mannheim Stroke database.

Lesch H, Haucke L, Kruska M, Ebert A, Becker L, Szabo K Front Neurol. 2025; 16:1510361.

PMID: 40040916 PMC: 11876033. DOI: 10.3389/fneur.2025.1510361.


The brain-heart axis: integrative cooperation of neural, mechanical and biochemical pathways.

Valenza G, Matic Z, Catrambone V Nat Rev Cardiol. 2025; .

PMID: 40033035 DOI: 10.1038/s41569-025-01140-3.


A new directionality index based on high-resolution joint symbolic dynamics to assess information transfer in multivariate networks.

Schulz S, Schumann A, Bar K, Haueisen J, Seifert G, Voss A Front Neurosci. 2025; 19:1504161.

PMID: 40018361 PMC: 11865042. DOI: 10.3389/fnins.2025.1504161.


Characterizing Brain-Cardiovascular Aging Using Multiorgan Imaging and Machine Learning.

Amirmoezzi Y, Cropley V, Mansour L S, Seguin C, Zalesky A, Tian Y J Neurosci. 2025; 45(8).

PMID: 39971581 PMC: 11841759. DOI: 10.1523/JNEUROSCI.1440-24.2024.


Evidence for domain-general arousal from semantic and neuroimaging meta-analyses reconciles opposing views on arousal.

Sabat M, de Dampierre C, Tallon-Baudry C Proc Natl Acad Sci U S A. 2025; 122(6):e2413808122.

PMID: 39899711 PMC: 11831115. DOI: 10.1073/pnas.2413808122.


References
1.
Williams L, Phillips M, Brammer M, Skerrett D, Lagopoulos J, Rennie C . Arousal dissociates amygdala and hippocampal fear responses: evidence from simultaneous fMRI and skin conductance recording. Neuroimage. 2001; 14(5):1070-9. DOI: 10.1006/nimg.2001.0904. View

2.
Suzuki H, Watanabe S, Hamaguchi T, Mine H, Terui T, Kanazawa M . Brain activation associated with changes in heart rate, heart rate variability, and plasma catecholamines during rectal distention. Psychosom Med. 2009; 71(6):619-26. DOI: 10.1097/PSY.0b013e31819b69ca. View

3.
Goswami R, Frances M, Shoemaker J . Representation of somatosensory inputs within the cortical autonomic network. Neuroimage. 2010; 54(2):1211-20. DOI: 10.1016/j.neuroimage.2010.09.050. View

4.
Beckmann C, DeLuca M, Devlin J, Smith S . Investigations into resting-state connectivity using independent component analysis. Philos Trans R Soc Lond B Biol Sci. 2005; 360(1457):1001-13. PMC: 1854918. DOI: 10.1098/rstb.2005.1634. View

5.
Craig A . Forebrain emotional asymmetry: a neuroanatomical basis?. Trends Cogn Sci. 2005; 9(12):566-71. DOI: 10.1016/j.tics.2005.10.005. View