尼古丁成瘾男性的功能连接变化:三重网络模型研究

IF 5.3 2区 医学 Q1 CLINICAL NEUROLOGY
Jieping Sun , Huiyu Huang , Jinghan Dang , Mengzhe Zhang , Xiaoyu Niu , Qiuying Tao , Yimeng Kang , Longyao Ma , Bohui Mei , Weijian Wang , Shaoqiang Han , Jingliang Cheng , Yong Zhang
{"title":"尼古丁成瘾男性的功能连接变化:三重网络模型研究","authors":"Jieping Sun ,&nbsp;Huiyu Huang ,&nbsp;Jinghan Dang ,&nbsp;Mengzhe Zhang ,&nbsp;Xiaoyu Niu ,&nbsp;Qiuying Tao ,&nbsp;Yimeng Kang ,&nbsp;Longyao Ma ,&nbsp;Bohui Mei ,&nbsp;Weijian Wang ,&nbsp;Shaoqiang Han ,&nbsp;Jingliang Cheng ,&nbsp;Yong Zhang","doi":"10.1016/j.pnpbp.2024.111187","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Nicotine addiction (NA) is recognized as a significant neurobehavioral disorder that affects both individuals and society. It is suggested that alterations in functional network connectivity (FNC) within specific brain networks underlie its neurobiological basis.</div></div><div><h3>Methods</h3><div>The default mode network (DMN), executive control network (ECN), and salience network (SN) are identified using data from the Human Connectome Project. The study includes 47 individuals with NA and 35 normal controls (NC), all of whom undergo resting-state fMRI alongside smoking-related clinical assessments. A sliding window analysis is employed to assess connectivity metrics, including static functional network connectivity (FNC), standard deviation (SD), and coefficient of variation (CV), to compare information integration between the groups. Participants with NA are classified based on longitudinal changes in Fagerström Test for Nicotine Dependence (FTND) scores over six years into three categories: addiction tendency (AT), withdrawal tendency (WT), and stable tendency (ST). Correlation analyses are conducted to explore relationships between FNC abnormalities and clinical assessments.</div></div><div><h3>Results</h3><div>Individuals with NA exhibit reduced static FNC (<em>p</em>_FDR = 0.029) between the dorsal DMN and the right ECN, accompanied by increased SD (<em>p</em>_FDR = 0.029) and CV (<em>p</em>_FDR = 0.029). A significant increase in SD (<em>p</em>_FDR = 0.049) is also observed in the dorsal DMN and left ECN. Correlations indicate that the SD of the dorsal DMN and right ECN relates to the pharmacological dimension of the Russell Smoking Reasons Questionnaire (RRSQ) scale (<em>r</em> = 0.416, <em>p</em>_FDR = 0.044), while CV correlates with changes in the FTND over six years (<em>r</em> = −0.391, <em>p</em>_FDR = 0.044) and the pharmacological dimension of the RRSQ scale (<em>r</em> = 0.402, <em>p</em>_FDR = 0.044). Post-hoc subgroup analyses reveal that these FNC intensity changes are present among WT patients (<em>p</em>_FDR &lt; 0.05).</div></div><div><h3>Conclusions</h3><div>Alterations in brain network function within the DMN and ECN are suggested to precede behavioral changes in NA. These findings are interpreted as potential neurobiological markers of nicotine addiction.</div></div>","PeriodicalId":54549,"journal":{"name":"Progress in Neuro-Psychopharmacology & Biological Psychiatry","volume":"136 ","pages":"Article 111187"},"PeriodicalIF":5.3000,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Functional connectivity changes in males with nicotine addiction: A triple network model study\",\"authors\":\"Jieping Sun ,&nbsp;Huiyu Huang ,&nbsp;Jinghan Dang ,&nbsp;Mengzhe Zhang ,&nbsp;Xiaoyu Niu ,&nbsp;Qiuying Tao ,&nbsp;Yimeng Kang ,&nbsp;Longyao Ma ,&nbsp;Bohui Mei ,&nbsp;Weijian Wang ,&nbsp;Shaoqiang Han ,&nbsp;Jingliang Cheng ,&nbsp;Yong Zhang\",\"doi\":\"10.1016/j.pnpbp.2024.111187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Nicotine addiction (NA) is recognized as a significant neurobehavioral disorder that affects both individuals and society. It is suggested that alterations in functional network connectivity (FNC) within specific brain networks underlie its neurobiological basis.</div></div><div><h3>Methods</h3><div>The default mode network (DMN), executive control network (ECN), and salience network (SN) are identified using data from the Human Connectome Project. The study includes 47 individuals with NA and 35 normal controls (NC), all of whom undergo resting-state fMRI alongside smoking-related clinical assessments. A sliding window analysis is employed to assess connectivity metrics, including static functional network connectivity (FNC), standard deviation (SD), and coefficient of variation (CV), to compare information integration between the groups. Participants with NA are classified based on longitudinal changes in Fagerström Test for Nicotine Dependence (FTND) scores over six years into three categories: addiction tendency (AT), withdrawal tendency (WT), and stable tendency (ST). Correlation analyses are conducted to explore relationships between FNC abnormalities and clinical assessments.</div></div><div><h3>Results</h3><div>Individuals with NA exhibit reduced static FNC (<em>p</em>_FDR = 0.029) between the dorsal DMN and the right ECN, accompanied by increased SD (<em>p</em>_FDR = 0.029) and CV (<em>p</em>_FDR = 0.029). A significant increase in SD (<em>p</em>_FDR = 0.049) is also observed in the dorsal DMN and left ECN. Correlations indicate that the SD of the dorsal DMN and right ECN relates to the pharmacological dimension of the Russell Smoking Reasons Questionnaire (RRSQ) scale (<em>r</em> = 0.416, <em>p</em>_FDR = 0.044), while CV correlates with changes in the FTND over six years (<em>r</em> = −0.391, <em>p</em>_FDR = 0.044) and the pharmacological dimension of the RRSQ scale (<em>r</em> = 0.402, <em>p</em>_FDR = 0.044). Post-hoc subgroup analyses reveal that these FNC intensity changes are present among WT patients (<em>p</em>_FDR &lt; 0.05).</div></div><div><h3>Conclusions</h3><div>Alterations in brain network function within the DMN and ECN are suggested to precede behavioral changes in NA. These findings are interpreted as potential neurobiological markers of nicotine addiction.</div></div>\",\"PeriodicalId\":54549,\"journal\":{\"name\":\"Progress in Neuro-Psychopharmacology & Biological Psychiatry\",\"volume\":\"136 \",\"pages\":\"Article 111187\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Progress in Neuro-Psychopharmacology & Biological Psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0278584624002550\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Neuro-Psychopharmacology & Biological Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0278584624002550","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

摘要

背景:尼古丁成瘾(NA)被认为是一种影响个人和社会的重要神经行为障碍。有人认为,特定大脑网络内功能网络连接(FNC)的改变是其神经生物学基础:方法:利用 "人类连接组计划"(Human Connectome Project)的数据,确定默认模式网络(DMN)、执行控制网络(ECN)和显著性网络(SN)。研究对象包括47名NA患者和35名正常对照者(NC),他们都接受了静息态fMRI检查和与吸烟相关的临床评估。研究采用滑动窗口分析法评估连通性指标,包括静态功能网络连通性(FNC)、标准偏差(SD)和变异系数(CV),以比较两组之间的信息整合情况。根据六年来法格斯特伦尼古丁依赖测试(FTND)得分的纵向变化,将NA患者分为三类:成瘾倾向(AT)、戒断倾向(WT)和稳定倾向(ST)。进行相关性分析以探讨 FNC 异常与临床评估之间的关系:结果:NA患者的背侧DMN和右侧ECN之间的静态FNC减少(p_FDR = 0.029),同时SD(p_FDR = 0.029)和CV(p_FDR = 0.029)增加。在背侧 DMN 和左侧 ECN 中也观察到 SD(p_FDR = 0.049)的明显增加。相关性表明,背侧DMN和右侧ECN的SD与罗素吸烟原因问卷(RRSQ)量表的药理学维度相关(r = 0.416,p_FDR = 0.044),而CV与六年来FTND的变化相关(r = -0.391,p_FDR = 0.044),与RRSQ量表的药理学维度相关(r = 0.402,p_FDR = 0.044)。事后亚组分析显示,WT 患者中也存在这些 FNC 强度变化(p_FDR 结论):DMN和ECN内大脑网络功能的改变被认为先于NA的行为改变。这些发现被解释为尼古丁成瘾的潜在神经生物学标记。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Functional connectivity changes in males with nicotine addiction: A triple network model study

Background

Nicotine addiction (NA) is recognized as a significant neurobehavioral disorder that affects both individuals and society. It is suggested that alterations in functional network connectivity (FNC) within specific brain networks underlie its neurobiological basis.

Methods

The default mode network (DMN), executive control network (ECN), and salience network (SN) are identified using data from the Human Connectome Project. The study includes 47 individuals with NA and 35 normal controls (NC), all of whom undergo resting-state fMRI alongside smoking-related clinical assessments. A sliding window analysis is employed to assess connectivity metrics, including static functional network connectivity (FNC), standard deviation (SD), and coefficient of variation (CV), to compare information integration between the groups. Participants with NA are classified based on longitudinal changes in Fagerström Test for Nicotine Dependence (FTND) scores over six years into three categories: addiction tendency (AT), withdrawal tendency (WT), and stable tendency (ST). Correlation analyses are conducted to explore relationships between FNC abnormalities and clinical assessments.

Results

Individuals with NA exhibit reduced static FNC (p_FDR = 0.029) between the dorsal DMN and the right ECN, accompanied by increased SD (p_FDR = 0.029) and CV (p_FDR = 0.029). A significant increase in SD (p_FDR = 0.049) is also observed in the dorsal DMN and left ECN. Correlations indicate that the SD of the dorsal DMN and right ECN relates to the pharmacological dimension of the Russell Smoking Reasons Questionnaire (RRSQ) scale (r = 0.416, p_FDR = 0.044), while CV correlates with changes in the FTND over six years (r = −0.391, p_FDR = 0.044) and the pharmacological dimension of the RRSQ scale (r = 0.402, p_FDR = 0.044). Post-hoc subgroup analyses reveal that these FNC intensity changes are present among WT patients (p_FDR < 0.05).

Conclusions

Alterations in brain network function within the DMN and ECN are suggested to precede behavioral changes in NA. These findings are interpreted as potential neurobiological markers of nicotine addiction.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
12.00
自引率
1.80%
发文量
153
审稿时长
56 days
期刊介绍: Progress in Neuro-Psychopharmacology & Biological Psychiatry is an international and multidisciplinary journal which aims to ensure the rapid publication of authoritative reviews and research papers dealing with experimental and clinical aspects of neuro-psychopharmacology and biological psychiatry. Issues of the journal are regularly devoted wholly in or in part to a topical subject. Progress in Neuro-Psychopharmacology & Biological Psychiatry does not publish work on the actions of biological extracts unless the pharmacological active molecular substrate and/or specific receptor binding properties of the extract compounds are elucidated.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信