Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, United States.
Department of Neuroscience and Physiology, New York University Grossman School of Medicine, New York, NY, United States.
Front Neural Circuits. 2023 Mar 3;17:1073537. doi: 10.3389/fncir.2023.1073537. eCollection 2023.
Predictive coding is a computational theory on describing how the brain perceives and acts, which has been widely adopted in sensory processing and motor control. Nociceptive and pain processing involves a large and distributed network of circuits. However, it is still unknown whether this distributed network is completely decentralized or requires networkwide coordination. Multiple lines of evidence from human and animal studies have suggested that the cingulate cortex and insula cortex (cingulate-insula network) are two major hubs in mediating information from sensory afferents and spinothalamic inputs, whereas subregions of cingulate and insula cortices have distinct projections and functional roles. In this mini-review, we propose an updated hierarchical predictive coding framework for pain perception and discuss its related computational, algorithmic, and implementation issues. We suggest active inference as a generalized predictive coding algorithm, and hierarchically organized traveling waves of independent neural oscillations as a plausible brain mechanism to integrate bottom-up and top-down information across distributed pain circuits.
预测编码是一种描述大脑感知和行为的计算理论，已广泛应用于感觉处理和运动控制中。伤害感受和疼痛处理涉及到一个庞大而分布广泛的电路网络。然而，尚不清楚这个分布式网络是否完全分散，还是需要全网协调。来自人类和动物研究的多条证据表明，扣带回和脑岛皮层（扣带回-脑岛网络）是从中枢神经系统传递感觉传入和脊髓丘脑输入信息的两个主要枢纽，而扣带回和脑岛皮层的亚区具有不同的投射和功能作用。在这篇综述中，我们提出了一个更新的疼痛感知分层预测编码框架，并讨论了其相关的计算、算法和实现问题。我们建议主动推理作为一种广义预测编码算法，以及分层组织的独立神经振荡的行进波作为一种可能的大脑机制，以整合分布式疼痛回路中的自下而上和自上而下的信息。
