Related Experiment Video
Updated: Feb 1, 2026

Reducing State Anxiety Using Working Memory Maintenance
Published on: July 19, 2017
Brain connection pattern under interoceptive attention state predict interoceptive intensity and subjective anxiety
Xinran Wu1,2, Liang Shi1,2, Dongtao Wei1,2
1Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China.
This study reveals brain network patterns linked to interoception and anxiety. Specific functional connectivity, particularly involving the cingulo-opercular network for interoception and sensorimotor/salience networks for anxiety, was identified.
Area of Science:
- Neuroscience
- Cognitive Science
- Psychology
Background:
- Interoception, the processing of bodily signals, is crucial for emotions like anxiety.
- Understanding the brain's functional connectivity during interoceptive attention is vital but remains unclear.
Purpose of the Study:
- To investigate task-dependent functional connectivity patterns related to interoception and anxiety.
- To identify brain network biomarkers for interoception and anxiety.
Main Methods:
- Functional magnetic resonance imaging (fMRI) during an interoceptive attention task.
- Support vector regression to predict subjective interoception and anxiety scores from network connectivity.
- Analysis of specific network nodes including the cingulo-opercular network, sensorimotor area (SSM), salience network (SN), default mode network (DMN), and ventral attention network.
Main Results:
- The cingulo-opercular task control network significantly contributed to interoception prediction.
- Connections between the sensorimotor area (SSM) and the salience network (SN) were key predictors of anxiety.
- Four overlapping functional connectivity patterns were found between interoception and anxiety predictions, suggesting shared bodily attention mechanisms.
Conclusions:
- This research identifies network-level brain biomarkers for interoception and anxiety.
- Findings provide a neural reference for understanding anxiety through an interoceptive lens.
- The overlap in connectivity suggests common neural pathways for processing bodily signals and emotional states.
More Related Videos
10:51Real-time fMRI Biofeedback Targeting the Orbitofrontal Cortex for Contamination Anxiety
Published on: January 20, 2012
08:36Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
Published on: March 21, 2019
Related Concept Videos
Anxiety: Overview
Individuals with anxiety often experience a range of physical and emotional symptoms, including sweating, trembling, tachycardia, and disturbances in sleep patterns. These symptoms vary in intensity and frequency but are generally disruptive and distressing.
Generalized Anxiety Disorder
Social Anxiety Disorder
Predicting Molecular Geometry
Sound Intensity
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.