Breathing in waves: Understanding respiratory-brain coupling as a gradient of predictive oscillations.

Neurosci Biobehav Rev

Center of Functionally Integrative Neuroscience, Aarhus University, Denmark; Cambridge Psychiatry, University of Cambridge, UK.

Published: September 2023

AI Article Synopsis

  • Breathing significantly influences perception and cognition by controlling neural oscillations, which are brain wave patterns related to various behaviors and mental processes.
  • Research shows that respiratory rhythms affect cognitive, emotional, and perceptual outcomes, with observable impacts across different mammalian species.
  • This review aims to create a unified framework for understanding how respiratory modulation of brain activity links to psychiatric disorders by exploring computational models of neural oscillations and their related prediction errors.

Article Abstract

Breathing plays a crucial role in shaping perceptual and cognitive processes by regulating the strength and synchronisation of neural oscillations. Numerous studies have demonstrated that respiratory rhythms govern a wide range of behavioural effects across cognitive, affective, and perceptual domains. Additionally, respiratory-modulated brain oscillations have been observed in various mammalian models and across diverse frequency spectra. However, a comprehensive framework to elucidate these disparate phenomena remains elusive. In this review, we synthesise existing findings to propose a neural gradient of respiratory-modulated brain oscillations and examine recent computational models of neural oscillations to map this gradient onto a hierarchical cascade of precision-weighted prediction errors. By deciphering the computational mechanisms underlying respiratory control of these processes, we can potentially uncover new pathways for understanding the link between respiratory-brain coupling and psychiatric disorders.

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http://dx.doi.org/10.1016/j.neubiorev.2023.105262DOI Listing

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Breathing in waves: Understanding respiratory-brain coupling as a gradient of predictive oscillations.

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