• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

肥胖男性与奖赏相关区域的分层综合处理:基于图论的研究。

Hierarchical integrated processing of reward-related regions in obese males: A graph-theoretical-based study.

机构信息

Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.

Department of General Surgery, Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Diseases, Beijing, 100050, China.

出版信息

Appetite. 2021 Apr 1;159:105055. doi: 10.1016/j.appet.2020.105055. Epub 2020 Nov 25.

DOI:10.1016/j.appet.2020.105055
PMID:33248191
Abstract

Abnormal activities in reward-related regions are associated with overeating or obesity. Preliminary studies have shown that changes in neural activity in obesity include not only regional reward regions abnormalities but also impairments in the communication between reward-related regions and multiple functional areas. A recent study has shown that the transitions between different neural networks are nonrandom and hierarchical, and that activation of particular brain networks is more likely to occur after other brain networks. The aims of this study were to investigate the key nodes of reward-related regions in obese males and explore the hierarchical integrated processing of key nodes. Twenty-four obese males and 24 normal-weight male controls of similar ages were recruited. The fMRI data were acquired using 3.0 T MRI. The fMRI data preprocessing was performed in DPABI and SPM 12. Degree centrality analyses were conducted using GRETNA toolkit, and Granger causality analyses were calculated using DynamicBC toolbox. Decreased degree centrality was observed in left ventral medial prefrontal cortex (vmPFC) and right parahippocampal/hippocampal gyrus in group with obesity. The group with obesity demonstrated increased effective connectivity between left vmPFC and several regions (left inferior temporal gyrus, left supplementary motor area, right insular cortex, right postcentral gyrus, right paracentral lobule and bilateral fusiform gyrus). Increased effective connectivity was observed between right parahippocampal/hippocampal gyrus and left precentral/postcentral gyrus. Decreased effective connectivity was found between right parahippocampal/hippocampal gyrus and left inferior parietal lobule. This study identified the features of hierarchical interactions between the key reward nodes and multiple function networks. These findings may provide more evidence for the existing view of hierarchical organization in reward processing.

摘要

奖励相关区域的异常活动与暴饮暴食或肥胖有关。初步研究表明,肥胖症患者的神经活动变化不仅包括区域奖励区域异常,还包括奖励相关区域与多个功能区域之间的通讯障碍。最近的一项研究表明,不同神经网络之间的转变不是随机的,而是分层的,特定脑网络的激活更有可能在其他脑网络之后发生。本研究旨在探讨肥胖男性奖励相关区域的关键节点,并探索关键节点的分层综合处理。招募了 24 名肥胖男性和 24 名年龄相似的正常体重男性对照者。使用 3.0T MRI 采集 fMRI 数据。使用 DPABI 和 SPM 12 进行 fMRI 数据预处理。使用 GRETNA 工具包进行度中心性分析,使用 DynamicBC 工具包计算 Granger 因果关系分析。肥胖组的左侧腹内侧前额叶皮层(vmPFC)和右侧海马旁回/海马回的度中心性降低。肥胖组左侧 vmPFC 与几个区域(左侧颞下回、左侧辅助运动区、右侧岛叶、右侧中央后回、右侧旁中央小叶和双侧梭状回)之间的有效连接增加。右侧海马旁回/海马回与左侧中央前回/中央后回之间的有效连接增加。右侧海马旁回/海马回与左侧顶下小叶之间的有效连接减少。本研究确定了关键奖励节点与多个功能网络之间分层相互作用的特征。这些发现可能为奖励处理的分层组织现有观点提供更多证据。

相似文献

1
Hierarchical integrated processing of reward-related regions in obese males: A graph-theoretical-based study.肥胖男性与奖赏相关区域的分层综合处理:基于图论的研究。
Appetite. 2021 Apr 1;159:105055. doi: 10.1016/j.appet.2020.105055. Epub 2020 Nov 25.
2
Integration of Neural Reward Processing and Appetite-Related Signaling in Obese Females: Evidence From Resting-State fMRI.肥胖女性的神经奖赏处理与食欲相关信号的整合:静息态 fMRI 的证据。
J Magn Reson Imaging. 2019 Aug;50(2):541-551. doi: 10.1002/jmri.26576. Epub 2019 Jan 17.
3
Abnormal Regional Neural Activity and Reorganized Neural Network in Obesity: Evidence from Resting-State fMRI.肥胖症中的异常区域性神经活动和重组神经网络:静息态 fMRI 的证据。
Obesity (Silver Spring). 2020 Jul;28(7):1283-1291. doi: 10.1002/oby.22839. Epub 2020 Jun 8.
4
Abnormal resting state functional connectivity in patients with chronic fatigue syndrome: an arterial spin-labeling fMRI study.慢性疲劳综合征患者静息态功能连接异常:一项动脉自旋标记功能磁共振成像研究
Magn Reson Imaging. 2016 May;34(4):603-8. doi: 10.1016/j.mri.2015.12.008. Epub 2015 Dec 18.
5
Altered Brain Structural Reorganization and Hierarchical Integrated Processing in Obesity.肥胖中大脑结构重组和分层整合处理的改变
Front Neurosci. 2022 Mar 18;16:796792. doi: 10.3389/fnins.2022.796792. eCollection 2022.
6
[Study of fraction amplitude of low frequency fluctuation on resting-state functional magnetic resonance imaging in adultperipheral facial paralysis].[成人周围性面神经麻痹静息态功能磁共振成像低频振幅分数研究]
Zhonghua Yi Xue Za Zhi. 2017 Jul 18;97(27):2081-2086. doi: 10.3760/cma.j.issn.0376-2491.2017.27.001.
7
Graph theory analysis of resting-state functional magnetic resonance imaging in essential tremor.静息态功能磁共振成像在特发性震颤中的图论分析。
Hum Brain Mapp. 2019 Nov 1;40(16):4686-4702. doi: 10.1002/hbm.24730. Epub 2019 Jul 22.
8
Neural correlates of successful emotional episodic encoding and retrieval: An SDM meta-analysis of neuroimaging studies.情绪情景式记忆成功编码和提取的神经关联:神经影像学研究的 SDM 元分析。
Neuropsychologia. 2020 Jun;143:107495. doi: 10.1016/j.neuropsychologia.2020.107495. Epub 2020 May 13.
9
The neural foundation of associative memory: a dynamic functional connectivity study for right-handed young adults.联想记忆的神经基础:右利手年轻成年人的动态功能连接研究。
Exp Brain Res. 2021 Dec;239(12):3527-3536. doi: 10.1007/s00221-021-06222-5. Epub 2021 Sep 18.
10
[Regional homogeneity in the patients of irritable bowel syndrome complicated with depression: a resting-state functional magnetic resonance imaging study].肠易激综合征合并抑郁症患者的局部一致性:一项静息态功能磁共振成像研究
Zhonghua Yi Xue Za Zhi. 2018 Jan 16;98(3):196-201. doi: 10.3760/cma.j.issn.0376-2491.2018.03.008.

引用本文的文献

1
Investigating the correlation between cortical lateralization and personality traits in young Chinese adults through structural magnetic resonance imaging.通过结构磁共振成像研究中国年轻成年人皮质侧化与人格特质之间的相关性。
Quant Imaging Med Surg. 2025 Aug 1;15(8):6981-6991. doi: 10.21037/qims-2025-271. Epub 2025 Jul 30.
2
Functional connectivity across multi-frequency bands in patients with tension-type headache: a resting-state fMRI retrospective study.紧张型头痛患者多频段功能连接性:一项静息态功能磁共振成像回顾性研究
BMC Med Imaging. 2025 May 1;25(1):145. doi: 10.1186/s12880-025-01599-z.
3
Altered hippocampal effective connectivity predicts BMI and food approach behavior in children with obesity.
海马体有效连接性的改变可预测肥胖儿童的体重指数和对食物的趋近行为。
Int J Clin Health Psychol. 2025 Jan-Mar;25(1):100541. doi: 10.1016/j.ijchp.2024.100541. Epub 2025 Jan 10.
4
Influence of individual's age on the characteristics of brain effective connectivity.个体年龄对脑有效连接特征的影响。
Geroscience. 2025 Apr;47(2):2455-2474. doi: 10.1007/s11357-024-01436-1. Epub 2024 Nov 16.
5
Intermittent energy restriction changes the regional homogeneity of the obese human brain.间歇性能量限制改变肥胖人类大脑的局部一致性。
Front Neurosci. 2023 Aug 3;17:1201169. doi: 10.3389/fnins.2023.1201169. eCollection 2023.
6
Reward motivation adaptation in people with negative schizotypal features: development of a novel behavioural paradigm and identifying its neural correlates using resting-state functional connectivity analysis.具有负性精神分裂特质人群的奖赏激励适应:一种新行为范式的发展及其使用静息态功能连接分析来识别其神经相关性。
Eur Arch Psychiatry Clin Neurosci. 2024 Jun;274(4):941-953. doi: 10.1007/s00406-023-01640-8. Epub 2023 Jul 3.
7
Brain functional and structural magnetic resonance imaging of obesity and weight loss interventions.肥胖与减肥干预的脑功能和结构磁共振成像。
Mol Psychiatry. 2023 Apr;28(4):1466-1479. doi: 10.1038/s41380-023-02025-y. Epub 2023 Mar 14.
8
Altered functional connectivity in first-episode and recurrent depression: A resting-state functional magnetic resonance imaging study.首发及复发性抑郁症患者的功能连接改变:一项静息态功能磁共振成像研究。
Front Neurol. 2022 Sep 1;13:922207. doi: 10.3389/fneur.2022.922207. eCollection 2022.
9
Altered Brain Structural Reorganization and Hierarchical Integrated Processing in Obesity.肥胖中大脑结构重组和分层整合处理的改变
Front Neurosci. 2022 Mar 18;16:796792. doi: 10.3389/fnins.2022.796792. eCollection 2022.