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

Journal: Neuroscience and biobehavioral reviews

Volume: 152

Issue: 

Year of Publication: 2023

Affiliated Institutions:  Center of Functionally Integrative Neuroscience, Aarhus University, Denmark. Institute for Biomagnetism and Biosignal Analysis, University of Münster, Germany. Electronic address: daniel.kluger@wwu.de. School of Culture and Society, Aarhus University, Denmark; The Centre for Philosophy of Epidemiology, Medicine and Public Health, University of Johannesburg, South Africa. Department of Biomedical Sciences, University of Minnesota Medical School, Duluth, MN. Institute for Biomagnetism and Biosignal Analysis, University of Münster, Germany; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Germany. Center of Functionally Integrative Neuroscience, Aarhus University, Denmark; Cambridge Psychiatry, University of Cambridge, UK.

Abstract summary 

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.

Authors & Co-authors:  Brændholt Malthe M Kluger Daniel S DS Varga Somogy S Heck Detlef H DH Gross Joachim J Allen Micah G MG

Study Outcome 

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Statistics
Citations : 
Authors :  6
Identifiers
Doi : 10.1016/j.neubiorev.2023.105262
SSN : 1873-7528
Study Population
Male,Female
Mesh Terms
Animals
Other Terms
Cognition;Mental health;Neural oscillation;Predictive coding;Respiration
Study Design
Case Control Trial,Cross Sectional Study
Study Approach
Country of Study
Mali
Publication Country
United States