神经性厌食症的脑网络改变：多中心结构连接研究

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical Pub Date : 2025-01-01 DOI:10.1016/j.nicl.2025.103737

Jun Kanzawa , Ryo Kurokawa , Tsunehiko Takamura , Nobuhiro Nohara , Kouhei Kamiya , Yoshiya Moriguchi , Yasuhiro Sato , Yumi Hamamoto , Tomotaka Shoji , Tomohiko Muratsubaki , Motoaki Sugiura , Shin Fukudo , Yoshiyuki Hirano , Yusuke Sudo , Rio Kamashita , Sayo Hamatani , Noriko Numata , Koji Matsumoto , Eiji Shimizu , Naoki Kodama , Osamu Abe

{"title":"神经性厌食症的脑网络改变：多中心结构连接研究","authors":"Jun Kanzawa , Ryo Kurokawa , Tsunehiko Takamura , Nobuhiro Nohara , Kouhei Kamiya , Yoshiya Moriguchi , Yasuhiro Sato , Yumi Hamamoto , Tomotaka Shoji , Tomohiko Muratsubaki , Motoaki Sugiura , Shin Fukudo , Yoshiyuki Hirano , Yusuke Sudo , Rio Kamashita , Sayo Hamatani , Noriko Numata , Koji Matsumoto , Eiji Shimizu , Naoki Kodama , Osamu Abe","doi":"10.1016/j.nicl.2025.103737","DOIUrl":null,"url":null,"abstract":"<div><div>Anorexia nervosa (AN) is a severe eating disorder characterized by intense fear of weight gain, distorted body image, and extreme food restriction. This research employed advanced diffusion MRI techniques including single-shell 3-tissue constrained spherical deconvolution, anatomically constrained tractography, and spherical deconvolution informed filtering of tractograms to analyze brain network alterations in AN. Diffusion MRI data from 81 AN patients and 98 healthy controls were obtained. The structural brain connectome was constructed based on nodes set in 84 brain regions, and graph theory analysis was conducted. Results showed that AN patients exhibited significantly higher clustering coefficient and local efficiency in several brain regions, including the left fusiform gyrus, bilateral orbitofrontal cortex, right entorhinal cortex, right lateral occipital gyrus, right superior temporal gyrus, and right insula. A trend towards higher global efficiency and small-worldness was also observed in AN patients, although not statistically significant. These findings suggest increased local connectivity and efficiency within regions associated with behavioral rigidity, emotional regulation, and disturbed body image among AN patients. This study contributes to the understanding of the neurological basis of AN by highlighting structural connectivity alterations in specific brain regions.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103737"},"PeriodicalIF":3.4000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Brain network alterations in anorexia Nervosa: A Multi-Center structural connectivity study\",\"authors\":\"Jun Kanzawa , Ryo Kurokawa , Tsunehiko Takamura , Nobuhiro Nohara , Kouhei Kamiya , Yoshiya Moriguchi , Yasuhiro Sato , Yumi Hamamoto , Tomotaka Shoji , Tomohiko Muratsubaki , Motoaki Sugiura , Shin Fukudo , Yoshiyuki Hirano , Yusuke Sudo , Rio Kamashita , Sayo Hamatani , Noriko Numata , Koji Matsumoto , Eiji Shimizu , Naoki Kodama , Osamu Abe\",\"doi\":\"10.1016/j.nicl.2025.103737\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Anorexia nervosa (AN) is a severe eating disorder characterized by intense fear of weight gain, distorted body image, and extreme food restriction. This research employed advanced diffusion MRI techniques including single-shell 3-tissue constrained spherical deconvolution, anatomically constrained tractography, and spherical deconvolution informed filtering of tractograms to analyze brain network alterations in AN. Diffusion MRI data from 81 AN patients and 98 healthy controls were obtained. The structural brain connectome was constructed based on nodes set in 84 brain regions, and graph theory analysis was conducted. Results showed that AN patients exhibited significantly higher clustering coefficient and local efficiency in several brain regions, including the left fusiform gyrus, bilateral orbitofrontal cortex, right entorhinal cortex, right lateral occipital gyrus, right superior temporal gyrus, and right insula. A trend towards higher global efficiency and small-worldness was also observed in AN patients, although not statistically significant. These findings suggest increased local connectivity and efficiency within regions associated with behavioral rigidity, emotional regulation, and disturbed body image among AN patients. This study contributes to the understanding of the neurological basis of AN by highlighting structural connectivity alterations in specific brain regions.</div></div>\",\"PeriodicalId\":54359,\"journal\":{\"name\":\"Neuroimage-Clinical\",\"volume\":\"45 \",\"pages\":\"Article 103737\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuroimage-Clinical\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2213158225000075\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NEUROIMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroimage-Clinical","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213158225000075","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NEUROIMAGING","Score":null,"Total":0}

引用次数: 0

摘要

神经性厌食症（AN）是一种严重的饮食失调，其特征是对体重增加的强烈恐惧，扭曲的身体形象和极端的食物限制。本研究采用先进的扩散MRI技术，包括单壳3组织约束球面反褶积、解剖约束束道成像和束道图球面反褶积信息滤波来分析AN的脑网络变化。获得81例AN患者和98例健康对照者的弥散MRI数据。基于84个脑区节点集构建脑结构连接体，并进行图论分析。结果表明，AN患者在左侧梭状回、双侧眶额皮层、右侧鼻内皮层、右侧枕外侧回、右侧颞上回和右侧脑岛等脑区均表现出较高的聚类系数和局部效率。在AN患者中也观察到更高的整体效率和小世界的趋势，尽管没有统计学意义。这些发现表明，在AN患者中，与行为僵化、情绪调节和身体形象紊乱相关的区域内，局部连通性和效率增加。这项研究通过强调特定大脑区域的结构连接改变，有助于了解AN的神经学基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Brain network alterations in anorexia Nervosa: A Multi-Center structural connectivity study

查看原文本刊更多论文

Brain network alterations in anorexia Nervosa: A Multi-Center structural connectivity study

Anorexia nervosa (AN) is a severe eating disorder characterized by intense fear of weight gain, distorted body image, and extreme food restriction. This research employed advanced diffusion MRI techniques including single-shell 3-tissue constrained spherical deconvolution, anatomically constrained tractography, and spherical deconvolution informed filtering of tractograms to analyze brain network alterations in AN. Diffusion MRI data from 81 AN patients and 98 healthy controls were obtained. The structural brain connectome was constructed based on nodes set in 84 brain regions, and graph theory analysis was conducted. Results showed that AN patients exhibited significantly higher clustering coefficient and local efficiency in several brain regions, including the left fusiform gyrus, bilateral orbitofrontal cortex, right entorhinal cortex, right lateral occipital gyrus, right superior temporal gyrus, and right insula. A trend towards higher global efficiency and small-worldness was also observed in AN patients, although not statistically significant. These findings suggest increased local connectivity and efficiency within regions associated with behavioral rigidity, emotional regulation, and disturbed body image among AN patients. This study contributes to the understanding of the neurological basis of AN by highlighting structural connectivity alterations in specific brain regions.

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

Neuroimage-Clinical NEUROIMAGING-

CiteScore

7.50

自引率

4.80%

发文量

368

审稿时长

52 days

期刊介绍： NeuroImage: Clinical, a journal of diseases, disorders and syndromes involving the Nervous System, provides a vehicle for communicating important advances in the study of abnormal structure-function relationships of the human nervous system based on imaging. The focus of NeuroImage: Clinical is on defining changes to the brain associated with primary neurologic and psychiatric diseases and disorders of the nervous system as well as behavioral syndromes and developmental conditions. The main criterion for judging papers is the extent of scientific advancement in the understanding of the pathophysiologic mechanisms of diseases and disorders, in identification of functional models that link clinical signs and symptoms with brain function and in the creation of image based tools applicable to a broad range of clinical needs including diagnosis, monitoring and tracking of illness, predicting therapeutic response and development of new treatments. Papers dealing with structure and function in animal models will also be considered if they reveal mechanisms that can be readily translated to human conditions.