Functional magnetic resonance imaging of depression: a bibliometrics and meta-analysis.

IF 3.6 3区 医学 Q1 PSYCHIATRY
Xiaotong Wang, Xi Nie, Feng Zhang, Yuhan Wei, Weiting Zeng, Yuchuan Zhang, Haixiong Lin
{"title":"Functional magnetic resonance imaging of depression: a bibliometrics and meta-analysis.","authors":"Xiaotong Wang, Xi Nie, Feng Zhang, Yuhan Wei, Weiting Zeng, Yuchuan Zhang, Haixiong Lin","doi":"10.1186/s12991-024-00525-x","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>This study aims to reveal the current knowledge map, research hotspots of functional magnetic resonance imaging (fMRI) studies on depression, as well as identify the brain regions associated with depression.</p><p><strong>Methods: </strong>CiteSpace was conducted to analyze the publication outputs, country, institution, cited journals, author and cited author, references, keyword cocurrence and burst keywords of fMRI studies in depression from 2010 to 2024. And a meta-analysis of fMRI was used to identify brain regions associated with depression using Neurosynth.</p><p><strong>Results: </strong>A total of 4,049 publications were included, and Gong Qiyong was the most prolific authors. Neuroimage, Biological Psychiatry, and Human Brain Mapping were prominent journals. Default mode network (DMN), prefrontal cortex, amygdala, and anterior cingulate cortex were the popular keywords. The fMRI studies on depression have mainly focused on major depression, especially the DMN. Functional connectivity and regional homogeneity of brain regions were research hotspots. The meta-analysis revealed significant differences in brain regions between patients with depression and healthy controls, including the Amygdala_L, Insula_R, Frontal_Inf_Oper_R, Cingulum_Post_L, Putamen_L, Thalamus_R, Angular_L, Precuneus_R, Frontal_Sup_R, Occipital_Inf_L.</p><p><strong>Conclusions: </strong>This study sheds light on key issues and future directions in fMRI research on depression, elucidating the brain regions related to depression.</p>","PeriodicalId":7942,"journal":{"name":"Annals of General Psychiatry","volume":null,"pages":null},"PeriodicalIF":3.6000,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11520125/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of General Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12991-024-00525-x","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0

Abstract

Objectives: This study aims to reveal the current knowledge map, research hotspots of functional magnetic resonance imaging (fMRI) studies on depression, as well as identify the brain regions associated with depression.

Methods: CiteSpace was conducted to analyze the publication outputs, country, institution, cited journals, author and cited author, references, keyword cocurrence and burst keywords of fMRI studies in depression from 2010 to 2024. And a meta-analysis of fMRI was used to identify brain regions associated with depression using Neurosynth.

Results: A total of 4,049 publications were included, and Gong Qiyong was the most prolific authors. Neuroimage, Biological Psychiatry, and Human Brain Mapping were prominent journals. Default mode network (DMN), prefrontal cortex, amygdala, and anterior cingulate cortex were the popular keywords. The fMRI studies on depression have mainly focused on major depression, especially the DMN. Functional connectivity and regional homogeneity of brain regions were research hotspots. The meta-analysis revealed significant differences in brain regions between patients with depression and healthy controls, including the Amygdala_L, Insula_R, Frontal_Inf_Oper_R, Cingulum_Post_L, Putamen_L, Thalamus_R, Angular_L, Precuneus_R, Frontal_Sup_R, Occipital_Inf_L.

Conclusions: This study sheds light on key issues and future directions in fMRI research on depression, elucidating the brain regions related to depression.

抑郁症的功能磁共振成像:文献计量学和荟萃分析。
研究目的本研究旨在揭示当前关于抑郁症的功能磁共振成像(fMRI)研究的知识图谱、研究热点,以及确定与抑郁症相关的脑区:CiteSpace分析了2010年至2024年抑郁症fMRI研究的发表产出、国家、机构、被引期刊、作者和被引作者、参考文献、关键词共现和突发关键词。并利用Neurosynth对fMRI进行荟萃分析,以确定与抑郁症相关的脑区:结果:共收录了4049篇论文,龚启勇是发表论文最多的作者。神经影像》(Neuroimage)、《生物精神病学》(Biological Psychiatry)和《人类脑图谱》(Human Brain Mapping)是主要期刊。默认模式网络(DMN)、前额叶皮层、杏仁核和前扣带皮层是热门关键词。有关抑郁症的 fMRI 研究主要集中在重度抑郁症,尤其是 DMN。脑区的功能连接性和区域同质性是研究热点。荟萃分析显示,抑郁症患者与健康对照组的脑区存在显著差异,包括杏仁核_L、脑岛_R、额叶_Inf_Oper_R、脑后_L、普特门_L、丘脑_R、角_L、楔前_R、额叶_Sup_R、枕叶_Inf_L:本研究揭示了抑郁症 fMRI 研究的关键问题和未来方向,阐明了与抑郁症相关的脑区。
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
CiteScore
6.60
自引率
2.70%
发文量
43
审稿时长
>12 weeks
期刊介绍: Annals of General Psychiatry considers manuscripts on all aspects of psychiatry, including neuroscience and psychological medicine. Both basic and clinical neuroscience contributions are encouraged. Annals of General Psychiatry emphasizes a biopsychosocial approach to illness and health and strongly supports and follows the principles of evidence-based medicine. As an open access journal, Annals of General Psychiatry facilitates the worldwide distribution of high quality psychiatry and mental health research. The journal considers submissions on a wide range of topics including, but not limited to, psychopharmacology, forensic psychiatry, psychotic disorders, psychiatric genetics, and mood and anxiety disorders.
×
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