Interpreting Anxiety Disorders From the Perspective of Interoceptive Computational Models
By bridging computational theories of interoceptive dysregulation with clinical practice, this framework advances a multidimensional approach to anxiety disorders. Future research should prioritize perturbed-prior experiments and hybrid interventions to optimize personalized treatment. Such integration holds transformative potential for precision psychiatry, addressing both neural computations and embodied experiences in anxiety.
Authors
- Ke Jiang (ORCID: https://orcid.org/0000-0002-6715-0121)
- Wen‐Jing Yan (ORCID: https://orcid.org/0000-0001-6413-2414)
- S. Matthew Liao (ORCID: https://orcid.org/0000-0001-6579-8656)
- Kai Qiu (ORCID: https://orcid.org/0000-0002-6575-5346)
- Zihan Lin (ORCID: https://orcid.org/0000-0003-2213-7959)
- Shasha Zhu
- Yuqing Zhao (ORCID: https://orcid.org/0009-0007-1123-3845)
Institutions
- Ningbo University (CN)
- Wenzhou Medical University (CN)
- First Affiliated Hospital of Wenzhou Medical University (CN)
- Lishui University (CN)
- Jinzhou Kangning Hospital (CN)
- Jinhua Central Hospital (CN)
Publication Details
- Journal
- Brain and Behavior
- Published
- 2025-11-26
- DOI
- https://doi.org/10.1002/brb3.71019
- Citations
- 1
- Primary Topic
- Psychosomatic Disorders and Their Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.47