Microstructural Brain Correlates of Inter-individual Differences in Respiratory Interoception DOI Creative Commons
Niia Nikolova, Jesper Fischer Ehmsen, Leah Banellis

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: April 11, 2024

Abstract Interoception, the perception and integration of physiological signals, is a fundamental aspect self-awareness homeostasis. While previous work has explored interoceptive processing in relation to cardiac system, research respiratory domain, particularly brain structure function, limited. To address this gap, we utilised Bayesian psychophysical model quantify perceptual, metacognitive, affective dimensions interoception sample 207 healthy participants. We also measured individual whole-brain microstructural indices myelination, myeloarchitecture, cortical iron using quantitative imaging. Voxel-based quantification analyses revealed distinct patterns microstructure insular, cingulate, primary sensory cortices, which underpin perceptual sensitivity precision. In addition, metacognitive bias was associated with increased myelination cingulate cortex periaqueductal grey, while correlated midline prefrontal cortex. At an level, resistance related somatosensory By revealing specific histological tied differences interoception, our results uncover neural pathways that govern emotional facets processing.

Language: Английский

Towards a comprehensive assessment of interoception in a multi-dimensional framework DOI Creative Commons
Chatrin Suksasilp, Sarah N. Garfinkel

Biological Psychology, Journal Year: 2022, Volume and Issue: 168, P. 108262 - 108262

Published: Jan. 10, 2022

Interoception has historically been assessed using behavioural tests of accuracy, self-report measures or through the characterisation neural signals underlying interoceptive processing. More recent conceptualisations interoception incorporate attention and higher-order related to interpretation signals. At present, these dimensions are largely in isolation, yet this fails capture complexity interoception. Comprehensive assessment across can determine full operation general function. Current work suggests that processes may be dissociable bodily axes, with differential mapping cognitive emotion To characterise differences profiles, all within individuals, both a single axis (e.g., cardiac) axes. Future better delineate how correspond different types help isolate selective disruptions clinical conditions.

Language: Английский

Citations

173
A Bayesian computational model reveals a failure to adapt interoceptive precision estimates across depression, anxiety, eating, and substance use disorders DOI Creative Commons
Ryan Smith, Rayus Kuplicki, Justin S. Feinstein

et al.

PLoS Computational Biology, Journal Year: 2020, Volume and Issue: 16(12), P. e1008484 - e1008484

Published: Dec. 14, 2020

Recent neurocomputational theories have hypothesized that abnormalities in prior beliefs and/or the precision-weighting of afferent interoceptive signals may facilitate transdiagnostic emergence psychopathology. Specifically, it has been suggested that, certain psychiatric disorders, processing mechanisms either over-weight or under-weight from viscera (or both), leading to a failure accurately update about body. However, this not directly tested empirically. To evaluate potential roles and precision context, we fit Bayesian computational model behavior patient sample during an awareness (heartbeat tapping) task. Modelling revealed perturbation condition (inspiratory breath-holding heartbeat tapping), healthy individuals (N = 52) assigned greater ascending cardiac than with symptoms anxiety 15), depression 69), co-morbid depression/anxiety 153), substance use disorders 131), eating 14)–who failed increase their estimates resting levels. In contrast, did find strong evidence for differences beliefs. These results provide first empirical modeling selective dysfunction adaptive conditions, lay groundwork future studies examining how reduced influences visceral regulation interoceptively-guided decision-making.

Language: Английский

Citations

158
Simulating homeostatic, allostatic and goal-directed forms of interoceptive control using active inference DOI
Alexander Tschantz, Laura Barca, Domenico Maisto

et al.

Biological Psychology, Journal Year: 2022, Volume and Issue: 169, P. 108266 - 108266

Published: Jan. 17, 2022

Language: Английский

Citations

71
Methodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review DOI Creative Commons
Roberto Tornero-Costa, Antonio Martínez-Millana, Natasha Azzopardi‐Muscat

et al.

JMIR Mental Health, Journal Year: 2023, Volume and Issue: 10, P. e42045 - e42045

Published: Feb. 2, 2023

Artificial intelligence (AI) is giving rise to a revolution in medicine and health care. Mental conditions are highly prevalent many countries, the COVID-19 pandemic has increased risk of further erosion mental well-being population. Therefore, it relevant assess current status application AI toward research inform about trends, gaps, opportunities, challenges.This study aims perform systematic overview applications terms methodologies, data, outcomes, performance, quality.A search PubMed, Scopus, IEEE Xplore, Cochrane databases was conducted collect records use cases for disorder studies from January 2016 November 2021. Records were screened eligibility if they practical implementation clinical trials involving conditions. evaluated categorized by International Classification Diseases 11th Revision (ICD-11). Data related trial settings, collection methodology, features, model development evaluation extracted following CHARMS (Critical Appraisal Extraction Systematic Reviews Prediction Modelling Studies) guideline. Further, bias provided.A total 429 nonduplicated retrieved 129 included full assessment-18 which manually added. The distribution found unbalanced between ICD-11 categories. Predominant categories Depressive disorders (n=70) Schizophrenia or other primary psychotic (n=26). Most interventions based on randomized controlled (n=62), followed prospective cohorts (n=24) among observational studies. typically applied evaluate quality treatments (n=44) stratify patients into subgroups clusters (n=31). Models usually combination questionnaires scales symptom severity using electronic (n=49) as well medical images (n=33). Quality assessment revealed important flaws process data preprocessing pipelines. One-third (n=56) did not report any preparation. One-fifth models developed comparing several methods (n=35) without assessing their suitability advance small proportion reported external validation (n=21). Only 1 paper second previous model. Risk transparent reporting yielded low scores due poor strategy adjusting hyperparameters, coefficients, explainability models. collaboration anecdotal (n=17) mostly remained private (n=126).These significant shortcomings, alongside lack information ensure reproducibility transparency, indicative challenges that needs face before contributing solid base knowledge generation being support tool management.

Language: Английский

Citations

54
From Generative Models to Generative Passages: A Computational Approach to (Neuro) Phenomenology DOI Creative Commons
Maxwell J. D. Ramstead, Anil K. Seth, Casper Hesp

et al.

Review of Philosophy and Psychology, Journal Year: 2022, Volume and Issue: 13(4), P. 829 - 857

Published: March 18, 2022

This paper presents a version of neurophenomenology based on generative modelling techniques developed in computational neuroscience and biology. Our approach can be described as

Language: Английский

Citations

51
The association between anxiety and cardiac interoceptive accuracy: A systematic review and meta-analysis DOI Creative Commons
Kiera Louise Adams, Alexandra Edwards,

Charlotte Peart

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2022, Volume and Issue: 140, P. 104754 - 104754

Published: July 4, 2022

Anxiety is often conceptualised as the prototypical disorder of interoception (one's perception bodily states). Whilst theoretical models predict an association between interoceptive accuracy and anxiety, empirical work has produced mixed results. This manuscript presents a pre-registered systematic review (https://osf.io/2h5xz) meta-analysis 55 studies, obtained via Pubmed search on 9th November 2020, examining relationship state trait anxiety objectively measured cardiac assessed by heartbeat counting discrimination tasks. Potential moderators this - age, gender clinical diagnoses participants, measures used study design were also explored. Overall, we found no evidence for with none factors examined moderating finding. We discuss implications these findings have future research, particular focus need further investigation other facets interoception.

Language: Английский

Citations

42
The new measures of interoceptive accuracy: A systematic review and assessment DOI
Olivier Desmedt, Olivier Luminet, Marta Walentynowicz

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2023, Volume and Issue: 153, P. 105388 - 105388

Published: Sept. 12, 2023

Language: Английский

Citations

41
Interoceptive technologies for psychiatric interventions: From diagnosis to clinical applications DOI
Félix Schoeller,

Adam Haar Horowitz,

Abhinandan Jain

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2023, Volume and Issue: 156, P. 105478 - 105478

Published: Nov. 23, 2023

Language: Английский

Citations

29
Cardiac interoception in patients accessing secondary mental health services: A transdiagnostic study DOI Creative Commons
Hugo Critchley, Samantha P. Sherrill, Donna L. Ewing

et al.

Autonomic Neuroscience, Journal Year: 2023, Volume and Issue: 245, P. 103072 - 103072

Published: Jan. 13, 2023

Language: Английский

Citations

23
Transcutaneous auricular vagus nerve stimulation modulates the processing of interoceptive prediction error signals and their role in allostatic regulation DOI Creative Commons
Carlos Ventura‐Bort, Mathias Weymar

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(3)

Published: Feb. 15, 2024

It has recently been suggested that predictive processing principles may apply to interoception, defined as the of hormonal, autonomic, visceral, and immunological signals. In current study, we aimed at providing empirical evidence for role cardiac interoceptive prediction errors signals on allostatic adjustments, using transcutaneous auricular vagus nerve stimulation (taVNS) a tool modulate afferents. within-subject design, participants performed cardiac-related task (heartbeat counting task) under taVNS sham stimulation, spaced 1-week apart. We observed taVNS, in contrast facilitated maintenance accuracy levels over time (from initial, stimulation-free, baseline block subsequent blocks), suggesting have helped maintain engagement afferent During task, compared sham, produced higher heart-evoked potentials (HEP) amplitudes, potential readout measure error processing. Further analyses revealed positive relation between adjustments-as measured by heart rate variability (HRV)-was mediated HEP amplitudes. Providing initial support accounts our results suggest increase precision with which are processed, favoring their influence adjustments.

Language: Английский

Citations

11