Altered Structural Connectivity and Functional Brain Dynamics in Individuals With Heavy Alcohol Use Elucidated via Network Control Theory

IF 8.3 2区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

ACS Applied Materials & Interfaces Pub Date : 2024-10-01 DOI:10.1016/j.bpsc.2024.05.006

{"title":"Altered Structural Connectivity and Functional Brain Dynamics in Individuals With Heavy Alcohol Use Elucidated via Network Control Theory","authors":"","doi":"10.1016/j.bpsc.2024.05.006","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Heavy alcohol use and its associated conditions, such as alcohol use disorder, impact millions of individuals worldwide. While our understanding of the neurobiological correlates of alcohol use has evolved substantially, we still lack models that incorporate whole-brain neuroanatomical, functional, and pharmacological information under one framework.</div></div><div><h3>Methods</h3><div>Here, we utilized diffusion and functional magnetic resonance imaging to investigate alterations to brain dynamics in 130 individuals with a high amount of current alcohol use. We compared these alcohol-using individuals to 308 individuals with minimal use of any substances.</div></div><div><h3>Results</h3><div>We found that individuals with heavy alcohol use had less dynamic and complex brain activity, and through leveraging network control theory, had increased control energy to complete transitions between activation states. Furthermore, using separately acquired positron emission tomography data, we deployed an in silico evaluation demonstrating that decreased D<sub>2</sub> receptor levels, as found previously in individuals with alcohol use disorder, may relate to our observed findings.</div></div><div><h3>Conclusions</h3><div>This work demonstrates that whole-brain, multimodal imaging information can be combined under a network control framework to identify and evaluate neurobiological correlates and mechanisms of heavy alcohol use.</div></div>","PeriodicalId":5,"journal":{"name":"ACS Applied Materials & Interfaces","volume":null,"pages":null},"PeriodicalIF":8.3000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Materials & Interfaces","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2451902224001393","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

Abstract

Background

Heavy alcohol use and its associated conditions, such as alcohol use disorder, impact millions of individuals worldwide. While our understanding of the neurobiological correlates of alcohol use has evolved substantially, we still lack models that incorporate whole-brain neuroanatomical, functional, and pharmacological information under one framework.

Methods

Here, we utilized diffusion and functional magnetic resonance imaging to investigate alterations to brain dynamics in 130 individuals with a high amount of current alcohol use. We compared these alcohol-using individuals to 308 individuals with minimal use of any substances.

Results

We found that individuals with heavy alcohol use had less dynamic and complex brain activity, and through leveraging network control theory, had increased control energy to complete transitions between activation states. Furthermore, using separately acquired positron emission tomography data, we deployed an in silico evaluation demonstrating that decreased D₂ receptor levels, as found previously in individuals with alcohol use disorder, may relate to our observed findings.

Conclusions

This work demonstrates that whole-brain, multimodal imaging information can be combined under a network control framework to identify and evaluate neurobiological correlates and mechanisms of heavy alcohol use.

查看原文本刊更多论文

通过网络控制理论阐明重度酗酒者大脑结构连接和功能动态的改变。

背景：大量饮酒（HAU）及其相关疾病，如酒精使用障碍（AUD），影响着全球数百万人。虽然我们对酒精使用的神经生物学相关性的理解有了很大的发展，但我们仍然缺乏在一个框架下整合全脑神经解剖学、功能学和药理学信息的模型。方法：在这里，我们利用扩散和功能磁共振成像技术研究了N=130名当前大量使用酒精的人的大脑动态变化。我们将这些酗酒者与 N = 308 名极少使用任何药物的人进行了比较：结果：我们发现，HAU 患者的大脑活动的动态性和复杂性较低，而且通过利用网络控制理论，他们完成激活状态之间转换的控制能量有所增加。此外，利用单独获得的正电子发射断层扫描（PET）数据，我们还进行了一项硅学评估，结果表明D2受体水平的降低（如之前在AUD患者中发现的那样）可能与我们观察到的结果有关：这项研究表明，全脑多模态成像信息可以在网络控制框架下进行组合，以识别和评估重度饮酒的神经生物学相关因素和机制。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

ACS Applied Materials & Interfaces 工程技术-材料科学：综合

CiteScore

16.00

自引率

6.30%

发文量

4978

审稿时长

1.8 months

期刊介绍： ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.