物质使用障碍(SUDs)中的互感处理:从神经解剖学到计算模型和预测编码框架的启示。

Q3 Neuroscience
Martin P Paulus
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引用次数: 0

摘要

物质使用障碍(SUD)是一种复杂的公共卫生挑战,其特点是遗传、认知、环境和社会心理因素的混合。本章探讨了感知间处理--生理状态的内部感知--在药物滥用障碍的神经生物学和治疗中的关键作用。本章强调了内感知功能障碍对成瘾行为的渴求、情绪调节和决策过程的核心作用。脑岛在维持药物使用(尤其是尼古丁)方面的重要性凸显了感知间通路在成瘾症中的广泛参与。在各种成瘾性疾病中,感知间通路的改变都是显而易见的,患者对毒品相关线索的敏感性增强,而对厌恶刺激的处理能力却减弱,这表明治疗结果的复杂性是由大量神经生物学因素造成的。此外,我们还深入探讨了理论和计算方法,以了解 SUDs 中的感知间处理过程。这一观点利用了预测编码框架,认为大脑会根据感觉输入不断生成和更新对内部状态的预测。在 SUDs 中,这种预测机制的中断会导致内感知的不准确性,从而在很大程度上导致觅药行为的强迫性以及与治疗相关的挑战。我们探讨了贝叶斯推理等计算模型如何为预期和接收到的内感知信号之间的相互作用提供见解,突出了超精确先验信念在渴求和冲动的持续性中的作用。这种理论方法不仅加深了我们对成瘾的神经和认知基础的理解,还提出了新的干预策略。通过神经调节和正念训练等有针对性的疗法重新校准感知间预测,我们有可能恢复感知间的准确性,从而为有效治疗成瘾提供新的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interoceptive Processing in Substance Use Disorders (SUDs): From the Neuroanatomy to Insights from Computational Models and Predictive Coding Frameworks.

Substance use disorders (SUDs) represent complex public health challenges characterized by a blend of genetic, cognitive, environmental, and psychosocial factors. This chapter explores the critical role of interoceptive processing - the internal sensing of physiological states - in the neurobiology and treatment of SUDs. Interoceptive dysfunctions are highlighted as central to the craving, emotional regulation, and decision-making processes that underpin addictive behaviors. The importance of the insula in sustaining drug use, particularly nicotine, underscores a broader involvement of interoceptive pathways in SUDs. Altered interoceptive processing is evident across various SUDs, where individuals demonstrate both a heightened sensitivity to drug-related cues and a diminished ability to process aversive stimuli, suggesting substantial neurobiological underpinnings that complicate treatment outcomes. Moreover, we delve into the theoretical and computational approach to understanding interoceptive processing in SUDs. This perspective utilizes a predictive coding framework, positing that the brain continuously generates and updates predictions about internal states based on sensory inputs. In SUDs, disruptions in this predictive mechanism can lead to inaccuracies in interoceptive perception, contributing significantly to the compulsive nature of drug-seeking behaviors and the challenges associated with treatment. We explore how computational models, such as Bayesian inference, provide insights into the interplay between expected and received interoceptive signals, highlighting the role of hyper-precise prior beliefs in the persistence of craving and impulsivity. This theoretical approach not only deepens our understanding of the neural and cognitive bases of addiction but also suggests novel intervention strategies. By recalibrating interoceptive predictions through targeted therapies, such as neuromodulation and mindfulness training, we can potentially restore the interoceptive accuracy, thereby offering new avenues for effective treatment of SUDs.

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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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