There is a long history of, and renewed interest in, cardiac timing effects on behaviour and cognition. Cardiac timing effects may be identified by expressing events as a function of their location in the cardiac cycle, and applying circular (i.e. directional) statistics to test cardiac time-behaviour associations. Typically this approach 'stretches' all points in the cardiac cycle equally, but this is not necessarily physiologically valid. Moreover, many tests impose distributional assumptions that are not met by such data. We present a set of statistical techniques robust to this, instantiated within our new Cardiac Timing Toolbox (CaTT) for MATLAB: A physiologically-motivated method of wrapping behaviour to the cardiac cycle; and a set of non-parametric statistical tests that control for common confounds and distributional characteristics of these data. Using a reanalysis of previously published data, we guide readers through analyses using CaTT, aiding researchers in identifying physiologically plausible associations between heart-timing and cognition.
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http://dx.doi.org/10.1016/j.biopsycho.2022.108291 | DOI Listing |
Open Heart
December 2024
Liverpool Centre for Cardiovascular Science, at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom, Liverpool, UK
BMJ Support Palliat Care
December 2024
Wolfson Palliative Care Research Centre, University of Hull, Hull, UK.
Implantable cardioverter defibrillators (ICDs) are implanted in increasing numbers of patients with the aim of treating ventricular arrhythmias in high-risk patients and reducing their risk of dying. Individuals are also living longer with these devices. As a result, a greater number of patients with an ICD will deteriorate either with worsening cardiac failure, another non-cardiac condition or general frailty and will have a limited prognosis.
View Article and Find Full Text PDFInterdiscip Cardiovasc Thorac Surg
December 2024
Department Cardiothoracic Surgery, Gold Coast University Hospital, Queensland, Australia.
Objectives: A best evidence topic was written according to a structured protocol described in ICVTS. The question addressed was: "In patients with vasoplegic syndrome after cardiopulmonary bypass (CPB), does adjunctive methylene blue improve outcomes including reduced mortality, morbidity and vasopressor requirements?"
Methods: Ovid Medline was searched using a reported search algorithm. Articles that represented the best evidence to answer the clinical question were selected, tabulated and discussed.
J Am Med Inform Assoc
December 2024
AI for Health Institute, Washington University in St Louis, St Louis, MO 63130, United States.
Objective: Early detection of surgical complications allows for timely therapy and proactive risk mitigation. Machine learning (ML) can be leveraged to identify and predict patient risks for postoperative complications. We developed and validated the effectiveness of predicting postoperative complications using a novel surgical Variational Autoencoder (surgVAE) that uncovers intrinsic patterns via cross-task and cross-cohort presentation learning.
View Article and Find Full Text PDFSleep
December 2024
Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
Study Objectives: Isolated REM sleep behavior disorder (iRBD) is recognized as a prodromal stage of alpha-synucleinopathies. Predicting phenoconversion in iRBD patients remains a key challenge. We aimed to investigate whether event-related potentials (ERPs) recorded during visuospatial attention task can serve as predictors of phenoconversion in iRBD patients.
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