Computational Approaches for Uncovering Interoceptive Mechanisms in Psychiatric Disorders and Their Biological Basis.

Q3 Neuroscience
Marishka Mehta, Martin P Paulus, Ryan Smith
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引用次数: 0

Abstract

Interoception, the process of detecting, perceiving, and interpreting signals from within the body, is essential for physiological regulation and adaptive behavior. A growing body of research underscores important potential links between interoceptive dysfunction and psychiatric disorders. Parallel advancements in the field of computational psychiatry have led to the development of biologically plausible models of information processing in the brain. This review surveys the current state of traditional and computational research approaches to study interoceptive processes in psychiatry. We also provide a foundational description of predominant computational approaches and theoretical models of interoception. Finally, we discuss the potential molecular foundations of interoceptive computation and consider future directions for incorporating computational models to enhance clinical insights and inform personalized treatments. We conclude that combining interoception and computational modeling approaches holds considerable promise in moving the field forward, both in addressing unresolved mechanistic questions and identifying novel potential therapeutic targets.

揭示精神疾病内感受机制的计算方法及其生物学基础。
内感受是检测、感知和解释身体内部信号的过程,对生理调节和适应性行为至关重要。越来越多的研究强调了内感受功能障碍和精神疾病之间的重要潜在联系。计算精神病学领域的平行进展导致了大脑中信息处理的生物学合理模型的发展。本文综述了精神病学研究内感受过程的传统研究方法和计算研究方法的现状。我们还提供了主要的计算方法和内感受理论模型的基本描述。最后,我们讨论了内感受性计算的潜在分子基础,并考虑了整合计算模型以增强临床见解和为个性化治疗提供信息的未来方向。我们的结论是,结合内感受和计算建模方法在解决未解决的机制问题和确定新的潜在治疗靶点方面,在推动该领域向前发展方面具有相当大的希望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Current topics in behavioral neurosciences
Current topics in behavioral neurosciences Neuroscience-Behavioral Neuroscience
CiteScore
4.80
自引率
0.00%
发文量
103
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