Sandra Iglesias

Perceived Control Over Breathing Perturbations Depends on Interosensory Input and Prediction Error

The paper tests a computational model of perceived control over breathing by analyzing data from a novel behavioral task, finding that perceived control depends on interoceptive outcomes and prediction errors.

Bayesian Workflow for Generative Modeling in Computational Psychiatry

The paper applies Bayesian workflow to improve parameter and model identifiability in hierarchical Bayesian models using multivariate behavioural data from a reward learning task.

Test-retest reliability of auditory MMN measured with OPM-MEG

This study evaluates the test-retest reliability and validity of auditory MMN measured with OPM-MEG, finding good agreement with EEG/MEG results and reliable amplitude measures.

Thermoceptive predictions and prediction errors in the anterior insula

This study uses fMRI and a Bayesian model to show that the anterior insula is involved in thermoceptive predictions and prediction errors in humans.

Auditory mismatch responses are differentially sensitive to changes in muscarinic acetylcholine versus dopamine receptor function

This study investigates how muscarinic acetylcholine and dopamine receptor function affect auditory mismatch negativity (MMN) in schizophrenia, finding differential sensitivity to these neuromodulators.

Interoception of breathing and its relationship with anxiety

This study investigates how anxiety relates to interoceptive processing of breathing using fMRI and computational models, finding that anxiety traits affect interoceptive prediction certainty and errors in the anterior insula.

TAPAS: an open-source software package for Translational Neuromodeling and Computational Psychiatry

TAPAS provides open-source tools for computational assays in psychiatry to support differential diagnosis and treatment prediction through end-to-end pipelines.

A Hilbert-based method for processing respiratory timeseries

This paper introduces a Hilbert-based method to estimate respiratory volume per unit time from bellows recordings, improving fMRI noise correction by better capturing atypical breathing events.