Classification of human chronotype based on fMRI network-based statistics.
Classification of human chronotype based on fMRI network-based statistics.
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DOI：
10.3389/fnins.2023.1147219
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发表时间：
2023
影响因子：
4.3
通讯作者：
Terry, John R. R.
中科院分区：
文献类型：
--
作者：
Mason, Sophie L. L.;Junges, Leandro;Woldman, Wessel;Facer-Childs, Elise R. R.;de Campos, Brunno M.;Bagshaw, Andrew P. P.;Terry, John R. R.
关键词：
时间型--个体内部昼夜生理和外部24小时明暗周期之间的关系--越来越多地涉及到心理健康和认知。表现出晚期生理时钟型的人患抑郁症的可能性更大，并且在社交9-5天期间可能表现出认知能力下降。然而，生理节律与支撑认知和心理健康的大脑网络之间的相互作用还没有得到很好的理解。为了解决这个问题，我们使用rs-fMRI收集了16人的早期生理时钟型和22人的晚期生理时钟型超过三个扫描会话。我们利用基于网络的统计方法开发了一个分类框架，以了解有关时钟类型的可区分信息是否嵌入功能性大脑网络中，以及这种信息在一天中如何变化。我们发现了全天子网络的证据，这些子网络在极端的时间型之间存在差异，因此可以发生高准确性，描述了在晚上实现97.3%准确性的严格阈值标准，并调查了相同条件如何阻碍其他扫描会话的准确性。揭示基于极端时钟类型的功能性大脑网络的差异表明了未来的研究途径，最终可能更好地描述内部生理学，外部干扰，大脑网络和疾病之间的关系。
Chronotype—the relationship between the internal circadian physiology of an individual and the external 24-h light-dark cycle—is increasingly implicated in mental health and cognition. Individuals presenting with a late chronotype have an increased likelihood of developing depression, and can display reduced cognitive performance during the societal 9–5 day. However, the interplay between physiological rhythms and the brain networks that underpin cognition and mental health is not well-understood. To address this issue, we use rs-fMRI collected from 16 people with an early chronotype and 22 people with a late chronotype over three scanning sessions. We develop a classification framework utilizing the Network Based-Statistic methodology, to understand if differentiable information about chronotype is embedded in functional brain networks and how this changes throughout the day. We find evidence of subnetworks throughout the day that differ between extreme chronotypes such that high accuracy can occur, describe rigorous threshold criteria for achieving 97.3% accuracy in the Evening and investigate how the same conditions hinder accuracy for other scanning sessions. Revealing differences in functional brain networks based on extreme chronotype suggests future avenues of research that may ultimately better characterize the relationship between internal physiology, external perturbations, brain networks, and disease.
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影响因子：
5.7
作者：
Blautzik, Janusch;Vetter, Celine;Meindl, Thomas
通讯作者：
Meindl, Thomas
DOI：
10.1162/netn_a_00013
发表时间：
2017-10-01
期刊：
Network neuroscience (Cambridge, Mass.)
影响因子：
--
作者：
Korhonen O;Saarimäki H;Glerean E;Sams M;Saramäki J
通讯作者：
Saramäki J
影响因子：
5.6
作者：
Facer-Childs, Elise R.;Campos, Brunno M.;Bagshaw, Andrew P.
通讯作者：
Bagshaw, Andrew P.
DOI：
10.1038/jcbfm.2014.109
发表时间：
2014-09
期刊：
Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism
影响因子：
--
作者：
通讯作者：
--
影响因子：
3.1
作者：
Hug E;Winzeler K;Pfaltz MC;Cajochen C;Bader K
通讯作者：
Bader K