Cardiorespiratory fitness is associated with neuroelectric activity complexity in children with overweight or obesity

Author:

Minguillon JesusORCID,Perez-Valero EduardoORCID,Lopez-Gordo Miguel A.ORCID,Esteban-Cornejo IreneORCID,Ortega Francisco B.ORCID,Mora-Gonzalez JoseORCID

Abstract

AbstractCardiorespiratory fitness is one of the most important markers of health. Several studies have demonstrated the relationship between cardiorespiratory fitness and brain functioning in healthy children. Some of these works suggested that cardiorespiratory fitness may have a protective role on the executive function, which represents a set of cognitive mechanisms used to control and coordinate other cognitive abilities. This is particularly relevant in children with overweight or obesity. In these studies, neuroelectric activity is recorded using medical imaging techniques or electroencephalography (EEG). Among the EEG studies, analyses based on the P3 event related potential stand out. However, complementary analyses are necessary to understand the neural mechanisms underlying the associations between cardiorespiratory fitness and brain functioning. EEG complexity, a useful feature that measures the regularity of neuroelectric activity, has been previously associated with cardiorespiratory fitness in adolescents. In this work, we evaluate this association in a group of 87 Caucasian children with overweight/obesity. Our results reveal that the children with higher cardiorespiratory fitness present less EEG complexity while performing a cognitive task that challenges the executive function. In addition, they suggest that the line length, the metric that we used to estimate EEG complexity, performs equally well as those metrics based on the P3 and better than other complexity metrics like sample entropy, as an indicator of cardiorespiratory fitness. Finally, the line length has advantages over the P3: more consistency across EEG regions and cognitive loads, lower experimental complexity, lower computational cost, and higher automatization capability.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3