Journal article 1965 views
We should be using nonlinear indices when relating heart-rate dynamics to cognition and mood
Hayley Young,
David Benton
Scientific Reports, Volume: 5, Start page: 16619
Swansea University Authors: Hayley Young, David Benton
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1038/srep16619
Abstract
Both heart rate (HR) and brain functioning involve the integrated output of a multitude of regulatory mechanisms, that are not quantified adequately by linear approximations such as means and standard deviations. It was therefore considered whether non-linear measures of HR complexity are more stron...
Published in: | Scientific Reports |
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2015
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URI: | https://cronfa.swan.ac.uk/Record/cronfa24391 |
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2020-12-14T15:02:24.2167840 v2 24391 2015-11-15 We should be using nonlinear indices when relating heart-rate dynamics to cognition and mood 22748f1a953255d63cb6ab9a98c11d70 Hayley Young Hayley Young true false 7845ee79286c74b7939198c94e9e16ff David Benton David Benton true false 2015-11-15 HPS Both heart rate (HR) and brain functioning involve the integrated output of a multitude of regulatory mechanisms, that are not quantified adequately by linear approximations such as means and standard deviations. It was therefore considered whether non-linear measures of HR complexity are more strongly associated with cognition and mood. Whilst resting, the inter-beat (R-R) time series of twenty-one males and twenty-four females were measured for five minutes. The data were summarised using time, frequency and nonlinear complexity measures. Attention, memory, reaction times, mood and cortisol levels were assessed. Nonlinear HR indices captured additional information, enabling a greater percentage of the variance in behaviour to be explained. On occasions non-linear indices were related to aspects for behaviour, for example focused attention and cortisol production, when time or frequency indices were not. These effects were sexually dimorphic with HR complexity being more strongly associated with the behaviour of females. It was concluded that nonlinear rather than linear methods of summarizing the HR times series offers a novel way of relating brain functioning and behaviour. It should be considered whether non-linear measures of HR complexity can be used as a biomarker of the integrated functioning of the brain. Journal Article Scientific Reports 5 16619 13 11 2015 2015-11-13 10.1038/srep16619 COLLEGE NANME Psychology COLLEGE CODE HPS Swansea University 2020-12-14T15:02:24.2167840 2015-11-15T22:18:37.9529640 Faculty of Medicine, Health and Life Sciences School of Psychology Hayley Young 1 David Benton 2 |
title |
We should be using nonlinear indices when relating heart-rate dynamics to cognition and mood |
spellingShingle |
We should be using nonlinear indices when relating heart-rate dynamics to cognition and mood Hayley Young David Benton |
title_short |
We should be using nonlinear indices when relating heart-rate dynamics to cognition and mood |
title_full |
We should be using nonlinear indices when relating heart-rate dynamics to cognition and mood |
title_fullStr |
We should be using nonlinear indices when relating heart-rate dynamics to cognition and mood |
title_full_unstemmed |
We should be using nonlinear indices when relating heart-rate dynamics to cognition and mood |
title_sort |
We should be using nonlinear indices when relating heart-rate dynamics to cognition and mood |
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22748f1a953255d63cb6ab9a98c11d70_***_Hayley Young 7845ee79286c74b7939198c94e9e16ff_***_David Benton |
author |
Hayley Young David Benton |
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Hayley Young David Benton |
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Scientific Reports |
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10.1038/srep16619 |
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Both heart rate (HR) and brain functioning involve the integrated output of a multitude of regulatory mechanisms, that are not quantified adequately by linear approximations such as means and standard deviations. It was therefore considered whether non-linear measures of HR complexity are more strongly associated with cognition and mood. Whilst resting, the inter-beat (R-R) time series of twenty-one males and twenty-four females were measured for five minutes. The data were summarised using time, frequency and nonlinear complexity measures. Attention, memory, reaction times, mood and cortisol levels were assessed. Nonlinear HR indices captured additional information, enabling a greater percentage of the variance in behaviour to be explained. On occasions non-linear indices were related to aspects for behaviour, for example focused attention and cortisol production, when time or frequency indices were not. These effects were sexually dimorphic with HR complexity being more strongly associated with the behaviour of females. It was concluded that nonlinear rather than linear methods of summarizing the HR times series offers a novel way of relating brain functioning and behaviour. It should be considered whether non-linear measures of HR complexity can be used as a biomarker of the integrated functioning of the brain. |
published_date |
2015-11-13T03:28:54Z |
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1763751110398443520 |
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11.037581 |