Cargando…

Gut inference: A computational modelling approach

Neurocomputational theories have hypothesized that Bayesian inference underlies interoception, which has become a topic of recent experimental work in heartbeat perception. To extend this approach beyond cardiac interoception, we describe the application of a Bayesian computational model to a recent...

Descripción completa

Detalles Bibliográficos
Autores principales:	Smith, Ryan, Mayeli, Ahmad, Taylor, Samuel, Al Zoubi, Obada, Naegele, Jessyca, Khalsa, Sahib S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429276/ https://www.ncbi.nlm.nih.gov/pubmed/34311031 http://dx.doi.org/10.1016/j.biopsycho.2021.108152

Ejemplares similares

Parieto-occipital ERP indicators of gut mechanosensation in humans
por: Mayeli, Ahmad, et al.
Publicado: (2023)

Exploring the acute cardiovascular effects of Floatation-REST
por: Flux, M. C., et al.
Publicado: (2022)

Reduced vmPFC-insula functional connectivity in generalized anxiety disorder: a Bayesian confirmation study
por: Steinhäuser, Jonas L., et al.
Publicado: (2023)

Predicting Age From Brain EEG Signals—A Machine Learning Approach
por: Al Zoubi, Obada, et al.
Publicado: (2018)

The impact of floatation therapy on body image and anxiety in anorexia nervosa: a randomised clinical efficacy trial
por: Choquette, Emily M., et al.
Publicado: (2023)

EEG Microstates Temporal Dynamics Differentiate Individuals with Mood and Anxiety Disorders From Healthy Subjects
por: Al Zoubi, Obada, et al.
Publicado: (2019)

Greater decision uncertainty characterizes a transdiagnostic patient sample during approach-avoidance conflict: a computational modelling approach
por: Smith, Ryan, et al.
Publicado: (2021)

Long-term stability of computational parameters during approach-avoidance conflict in a transdiagnostic psychiatric patient sample
por: Smith, Ryan, et al.
Publicado: (2021)

Automated pipeline for EEG artifact reduction (APPEAR) recorded during fMRI
por: Mayeli, Ahmad, et al.
Publicado: (2021)

Taking the body off the mind: Decreased functional connectivity between somatomotor and default‐mode networks following Floatation‐REST
por: Al Zoubi, Obada, et al.
Publicado: (2021)

Self‐regulation of ventromedial prefrontal cortex activation using real‐time fMRI neurofeedback—Influence of default mode network
por: Mayeli, Ahmad, et al.
Publicado: (2019)

The Elicitation of Relaxation and Interoceptive Awareness Using Floatation Therapy in Individuals With High Anxiety Sensitivity
por: Feinstein, Justin S., et al.
Publicado: (2018)

A Bayesian computational model reveals a failure to adapt interoceptive precision estimates across depression, anxiety, eating, and substance use disorders
por: Smith, Ryan, et al.
Publicado: (2020)

Elevated decision uncertainty and reduced avoidance drives in depression, anxiety and substance use disorders during approach–avoidance conflict: a replication study
por: Smith, Ryan, et al.
Publicado: (2023)

Common Data Elements, Scalable Data Management Infrastructure, and Analytics Workflows for Large-Scale Neuroimaging Studies
por: Kuplicki, Rayus, et al.
Publicado: (2021)

Can Interoception Improve the Pragmatic Search for Biomarkers in Psychiatry?
por: Khalsa, Sahib S., et al.
Publicado: (2016)

Transdiagnostic failure to adapt interoceptive precision estimates across affective, substance use, and eating disorders: A replication study
por: Lavalley, Claire A., et al.
Publicado: (2023)

Parameter Inference for Computational Cognitive Models with Approximate Bayesian Computation
por: Kangasrääsiö, Antti, et al.
Publicado: (2019)

Connectome-wide search for functional connectivity locus associated with pathological rumination as a target for real-time fMRI neurofeedback intervention
por: Misaki, Masaya, et al.
Publicado: (2020)

Prevent breaking bad: A proof of concept study of rebalancing the brain's rumination circuit with real‐time fMRI functional connectivity neurofeedback
por: Tsuchiyagaito, Aki, et al.
Publicado: (2020)

Fundamental statistical inference: a computational approach
por: Paolella, Marc S
Publicado: (2018)

Gastrointestinal Interoception in Eating Disorders: Charting a New Path
por: Khalsa, Sahib S., et al.
Publicado: (2022)

Computational approaches to protein inference in shotgun proteomics
por: Li, Yong Fuga, et al.
Publicado: (2012)

The pathways of interoceptive awareness
por: Khalsa, Sahib S, et al.
Publicado: (2009)

An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case
por: Smith, Ryan, et al.
Publicado: (2020)

Perceptual insensitivity to the modulation of interoceptive signals in depression, anxiety, and substance use disorders
por: Smith, Ryan, et al.
Publicado: (2021)

Time series: modeling, computation, and inference
por: Prado, Raquel, et al.
Publicado: (2010)

Understanding electronic mail: learn how to connect your computer to the world
por: Naegele, Carl J
Publicado: (1984)

76352 Investigating the Association Between Intracerebral Hemorrhage (ICH) and Long-Term Encephalomalacia and Cortical Atrophy
por: Adapa, Arjun, et al.
Publicado: (2021)

The effect of meditation on regulation of internal body states
por: Khalsa, Sahib S., et al.
Publicado: (2015)

A grid-shaped cellular modeling approach for wireless sensor networks
por: Al-Zoubi, Khaldoon, et al.
Publicado: (2022)

Inferring haplotypes at the NAT2 locus: the computational approach
por: Sabbagh, Audrey, et al.
Publicado: (2005)

Computational approaches for inferring the functions of intrinsically disordered proteins
por: Varadi, Mihaly, et al.
Publicado: (2015)

Simulating Emotions: An Active Inference Model of Emotional State Inference and Emotion Concept Learning
por: Smith, Ryan, et al.
Publicado: (2019)

From genetics to systems biology of stress-related mental disorders
por: Dalvie, Shareefa, et al.
Publicado: (2021)

From genotype to phenotype: computational approaches for inferring microbial traits relevant to the food industry
por: Karlsen, Signe T, et al.
Publicado: (2023)

Computational modeling of neural activities for statistical inference
por: Kolossa, Antonio
Publicado: (2016)

Cancer Evolution: Mathematical Models and Computational Inference
por: Beerenwinkel, Niko, et al.
Publicado: (2015)

Simulating the computational mechanisms of cognitive and behavioral psychotherapeutic interventions: insights from active inference
por: Smith, Ryan, et al.
Publicado: (2021)

Novel approach of using a cocktail of designed bacteriophages against gut pathogenic E. coli for bacterial load biocontrol
por: Abdulamir, Ahmed Sahib, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_ro2si1h7sbf19lc8l7endnv059