Physiological noise in brainstem fMRI

Brooks, Jonathan C.W. ORCID: https://orcid.org/0000-0003-3335-6209, Faull, Olivia K., Pattinson, Kyle T.S. and Jenkinson, Mark (2013) Physiological noise in brainstem fMRI. Frontiers in Human Neuroscience (OCT). ISSN 1662-5161

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Abstract

The brainstem is directly involved in controlling blood pressure, respiration, sleep/wake cycles, pain modulation, motor, and cardiac output. As such it is of significant basic science and clinical interest. However, the brainstem's location close to major arteries and adjacent pulsatile cerebrospinal fluid filled spaces, means that it is difficult to reliably record functional magnetic resonance imaging (fMRI) data from.These physiological sources of noise generate time varying signals in fMRI data, which if left uncorrected can obscure signals of interest. In this Methods Article we will provide a practical introduction to the techniques used to correct for the presence of physiological noise in time series fMRI data.Techniques based on independent measurement of the cardiac and respiratory cycles, such as retrospective image correction (RETROICOR, Glover et al., 2000), will be described and their application and limitations discussed. The impact of a physiological noise model, implemented in the framework of the general linear model, on resting fMRI data acquired at 3 and 7T is presented. Data driven approaches based such as independent component analysis (ICA) are described. MR acquisition strategies that attempt to either minimize the influence of physiological fluctuations on recorded fMRI data, or provide additional information to correct for their presence, will be mentioned. General advice on modeling noise sources, and its effect on statistical inference via loss of degrees of freedom, and nonorthogonality of regressors, is given. Lastly, different strategies for assessing the benefit of different approaches to physiological noise modeling are presented.

Item Type: Article
Uncontrolled Keywords: 7t,brainstem,fmri,imaging,physiological noise,neuropsychology and physiological psychology,neurology,psychiatry and mental health,biological psychiatry,behavioral neuroscience,sdg 3 - good health and well-being ,/dk/atira/pure/subjectarea/asjc/3200/3206
Faculty \ School: Faculty of Social Sciences > School of Psychology
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Depositing User: LivePure Connector
Date Deposited: 07 Sep 2022 11:31
Last Modified: 23 Sep 2022 02:44
URI: https://ueaeprints.uea.ac.uk/id/eprint/87795
DOI: 10.3389/fnhum.2013.00623

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