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Monitoring cardiac and respiratory physiology during FMRI.
Bulte, Daniel; Wartolowska, Karolina.
Afiliação
  • Bulte D; Functional Magnetic Resonance Imaging of the Brain Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK; Institute of Biomedical Engineering, Department of Engineering Science, Old Road Campus Research Building, University of Oxford, Oxford OX3 7DQ, UK. Electronic address: daniel.bulte@ndcn.ox.ac.uk.
  • Wartolowska K; Botnar Research Centre, Nuffiled Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Old Road, Oxford OX3 7LD, UK.
Neuroimage ; 154: 81-91, 2017 07 01.
Article em En | MEDLINE | ID: mdl-27916663
ABSTRACT
This article will consider how physiological monitoring can be used both as an intrinsic part of an experiment, or for removing unwanted physiological signals from the FMRI time series. As functional MRI is used for a wide variety of applications beyond the identification of regions involved in a task, different sources of noise in the time series become important. The use of arterial spin labelling sequences, either in isolation or combined with BOLD imaging, means that temporal noise must be dealt with differently. Moreover, when these are combined with global cerebrovascular stimuli, such as respiratory challenges, the standard analysis tools must be employed with great care so as not to detrimentally distort the data. Acquiring and analysing physiological data is sometimes more art than science, and this article attempts to provide some insight into common techniques as well as advice on identifying and correcting some of the problems that may be encountered.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fenômenos Fisiológicos Respiratórios / Imageamento por Ressonância Magnética / Fenômenos Fisiológicos Cardiovasculares / Artefatos / Neuroimagem Funcional Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fenômenos Fisiológicos Respiratórios / Imageamento por Ressonância Magnética / Fenômenos Fisiológicos Cardiovasculares / Artefatos / Neuroimagem Funcional Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article