No Cover Image

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...

Full description

Published in: Scientific Reports
Published: 2015
URI: https://cronfa.swan.ac.uk/Record/cronfa24391
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2015-11-16T16:46:34Z
last_indexed 2020-12-15T03:39:17Z
id cronfa24391
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2020-12-14T15:02:24.2167840</datestamp><bib-version>v2</bib-version><id>24391</id><entry>2015-11-15</entry><title>We should be using nonlinear indices when relating heart-rate dynamics to cognition and mood</title><swanseaauthors><author><sid>22748f1a953255d63cb6ab9a98c11d70</sid><firstname>Hayley</firstname><surname>Young</surname><name>Hayley Young</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>7845ee79286c74b7939198c94e9e16ff</sid><firstname>David</firstname><surname>Benton</surname><name>David Benton</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2015-11-15</date><deptcode>HPS</deptcode><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 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.</abstract><type>Journal Article</type><journal>Scientific Reports</journal><volume>5</volume><journalNumber/><paginationStart>16619</paginationStart><paginationEnd/><publisher/><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic/><keywords/><publishedDay>13</publishedDay><publishedMonth>11</publishedMonth><publishedYear>2015</publishedYear><publishedDate>2015-11-13</publishedDate><doi>10.1038/srep16619</doi><url/><notes/><college>COLLEGE NANME</college><department>Psychology</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HPS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-12-14T15:02:24.2167840</lastEdited><Created>2015-11-15T22:18:37.9529640</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">School of Psychology</level></path><authors><author><firstname>Hayley</firstname><surname>Young</surname><order>1</order></author><author><firstname>David</firstname><surname>Benton</surname><order>2</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 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
author_id_str_mv 22748f1a953255d63cb6ab9a98c11d70
7845ee79286c74b7939198c94e9e16ff
author_id_fullname_str_mv 22748f1a953255d63cb6ab9a98c11d70_***_Hayley Young
7845ee79286c74b7939198c94e9e16ff_***_David Benton
author Hayley Young
David Benton
author2 Hayley Young
David Benton
format Journal article
container_title Scientific Reports
container_volume 5
container_start_page 16619
publishDate 2015
institution Swansea University
doi_str_mv 10.1038/srep16619
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str School of Psychology{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}School of Psychology
document_store_str 0
active_str 0
description 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
_version_ 1763751110398443520
score 11.037581