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http://dx.doi.org/10.1155/2008/764934 | DOI Listing |
Circ Cardiovasc Interv
December 2024
Cardiovascular Clinical Research Center, Department of Medicine, NYU Grossman School of Medicine, New York, NY (H.R.R., L.P., S.B., J.S.H.).
Background: The relationship between the extent and severity of stress-induced ischemia and the extent and severity of anatomic coronary artery disease (CAD) in patients with obstructive CAD is multifactorial and includes the intensity of stress achieved, type of testing used, presence and extent of prior infarction, collateral blood flow, plaque characteristics, microvascular disease, coronary vasomotor tone, and genetic factors. Among chronic coronary disease participants with site-determined moderate or severe ischemia, we investigated associations between ischemia severity on stress testing and the extent of CAD on coronary computed tomography angiography.
Methods: Clinically indicated stress testing included nuclear imaging, echocardiography, cardiac magnetic resonance imaging, or nonimaging exercise tolerance test.
Lancet Digit Health
November 2024
Department of Statistics, University of Oxford, Oxford, UK; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK. Electronic address:
Background: Understanding underlying mechanisms of heterogeneity in test-seeking and reporting behaviour during an infectious disease outbreak can help to protect vulnerable populations and guide equity-driven interventions. The COVID-19 pandemic probably exerted different stresses on individuals in different sociodemographic groups and ensuring fair access to and usage of COVID-19 tests was a crucial element of England's testing programme. We aimed to investigate the relationship between sociodemographic factors and COVID-19 testing behaviours in England during the COVID-19 pandemic.
View Article and Find Full Text PDFHum Brain Mapp
October 2024
Wellcome Centre for Human Neuroimaging, University College London, London, UK.
Neural activity cannot be directly observed using fMRI; rather it must be inferred from the hemodynamic responses that neural activity causes. Solving this inverse problem is made possible through the use of forward models, which generate predicted hemodynamic responses given hypothesised underlying neural activity. Commonly-used hemodynamic models were developed to explain data from healthy young participants; however, studies of ageing and dementia are increasingly shifting the focus toward elderly populations.
View Article and Find Full Text PDFNat Commun
September 2024
Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, USA.
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