Evidence map›Paper›PMID 42455841›Full record

ArticlePloS one2026

Interoceptive autonomic regulation in typical development and autism spectrum disorder: A computational model integrating multiple physiological systems.

Ruichen Li, Hao Liu, Yukie Nagai

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In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ruichen LiInternational Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-0692-0601
Hao LiuFaculty of Engineering, Chiba University, Chiba, Japan.
Yukie NagaiInternational Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4794-0940

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInteroceptive cardiovascular signals, including heart rate (HR) and blood pressure (BP), arise from coordinated sympathetic (SNS) and parasympathetic (PSNS) regulation and contribute to affective and cognitive processes. Although atypical autonomic nervous system (ANS) modulation has been reported in autism spectrum disorder (ASD), the dynamical structure underlying branch-specific coordination remains insufficiently characterized.

objectiveTo estimate latent ANS regulatory structure in typically developing (TD) and ASD individuals using a computational modeling framework.

methodsA closed-loop computational model integrating cardiovascular, respiratory, and autonomic dynamics was developed. ANS regulation was formalized using three autonomic control modes (coupled reciprocal, coupled nonreciprocal, and uncoupled) and parameterized by effective modulation weights of SNS and PSNS. HR and BP responses to the head-up tilt (HUT) test were simulated, and regulatory surfaces were compared with empirical HR and BP data from TD and ASD groups. Additional simulations under normal respiration, deep respiration, and absence of respiration evaluated mean arterial pressure (MAP) regulation across varying SNS-PSNS activity combinations.

resultsTD individuals exhibited differentiated SNS-PSNS coordination patterns across control modes, whereas ASD individuals showed convergence of SNS-PSNS weight. In TD, HR and BP distributions under coupled reciprocal mode were most consistent with expected physiological responses, characterized by high SNS and low PSNS activity during postural challenge. In ASD, empirical data extended toward regions associated with relatively higher PSNS weighting, suggestive of persistent parasympathetic engagement during postural challenge. Incorporation of deep respiration enhanced MAP reduction during BP recovery, particularly under over-elevated SNS activity.

conclusionThis study provides a mechanistic, state-space characterization of autonomic coordination in TD and ASD populations, enabling inference of latent autonomic regulation from measurable interoceptive phenotypes and identifying respiration as a model-based regulatory lever that augments cardiovascular stabilization.

Indexed as

Autism Spectrum DisorderAutonomic Nervous SystemComputer SimulationInteroceptionAdolescentBlood PressureChildFemaleHeart RateHumansMale

Identifiers

PMID42455841
PMCPMC13372161

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.