Hierarchical predictive coding in distributed pain circuits

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 distribut...

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Vydané v:Frontiers in neural circuits Ročník 17; s. 1073537
Hlavný autor: Chen, Zhe Sage
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Switzerland Frontiers Research Foundation 03.03.2023
Frontiers Media S.A
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ISSN:1662-5110, 1662-5110
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Shrnutí: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.
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Reviewed by: Alex Pitti, CY Cergy Paris Université, France; Etienne Vachon-Presseau, McGill University, Canada
Edited by: Edward S. Ruthazer, McGill University, Canada
ISSN:1662-5110
1662-5110
DOI:10.3389/fncir.2023.1073537