Twenty-five years of research on resting-state fMRI of major depressive disorder: A bibliometric analysis of hotspots, nodes, bursts, and trends

被引:1
作者
Fu, Linhan [1 ,2 ,3 ,4 ]
Cai, Mengjing [1 ,2 ,3 ]
Zhao, Yao [1 ,2 ,3 ]
Zhang, Zhihui [1 ,2 ,3 ]
Qian, Qian [1 ,2 ,3 ]
Xue, Hui [1 ,2 ,3 ]
Chen, Yayuan [1 ,2 ,3 ]
Sun, Zuhao [1 ,2 ,3 ]
Zhao, Qiyu [1 ,2 ,3 ]
Wang, Shaoying [1 ,2 ,3 ]
Wang, Chunyang [5 ]
Wang, Wenqin [6 ]
Jiang, Yifan [7 ]
Tian, Yuxuan [4 ]
Ma, Juanwei [1 ,2 ,3 ]
Guo, Wenbin [8 ,9 ]
Liu, Feng [1 ,2 ,3 ]
机构
[1] Tianjin Med Univ, Dept Radiol, Gen Hosp, Tianjin 300052, Peoples R China
[2] Tianjin Med Univ, Tianjin Key Lab Funct Imaging, Gen Hosp, Tianjin 300052, Peoples R China
[3] Tianjin Med Univ, Tianjin Inst Radiol, Gen Hosp, Tianjin 300052, Peoples R China
[4] Tianjin Med Univ, Sch Med Imaging, Tianjin 300070, Peoples R China
[5] Tianjin Med Univ, Dept Sci Res, Gen Hosp, Tianjin 300052, Peoples R China
[6] Tianjin Polytech Univ, Sch Math Sci, Tianjin 300387, Peoples R China
[7] Tianjin Med Univ, Sch Nursing, Tianjin 300070, Peoples R China
[8] Cent South Univ, Xiangya Hosp 2, Natl Clin Res Ctr Mental Disorders, Dept Psychiat, Changsha 410011, Hunan, Peoples R China
[9] Cent South Univ, Xiangya Hosp 2, Natl Ctr Mental Disorders, Changsha 410011, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Major depressive disorder; Resting-state fMRI; Bibliometrics; CiteSpace; Knowledge graphs; FUNCTIONAL CONNECTIVITY; GLOBAL TRENDS; DRUG-NAIVE; NETWORKS; 1ST-EPISODE;
D O I
10.1016/j.heliyon.2024.e33833
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Major depressive disorder (MDD) is a debilitating mental health condition that poses significant risks and burdens. Resting-state functional magnetic resonance imaging (fMRI) has emerged as a promising tool in investigating the neural mechanisms underlying MDD. However, a comprehensive bibliometric analysis of resting-state fMRI in MDD is currently lacking. Here, we aimed to thoroughly explore the trends and frontiers of resting-state fMRI in MDD research. The relevant publications were retrieved from the Web of Science database for the period between 1998 and 2022, and the CiteSpace software was employed to identify the influence of authors, institutions, countries/regions, and the latest research trends. A total of 1501 publications met the search criteria, revealing a gradual increase in the number of annual publications over the years. China contributed the largest publication output, accounting for the highest percentage among all countries. Particularly, the University of Electronic Science and Technology of China, Capital Medical University, and Harvard Medical School were identified as key institutions that have made substantial contributions to this growth. Neuroimage, Biological Psychiatry, Journal of Affective Disorders, and Proceedings of the National Academy of Sciences of the United States of America are among the influential journals in the field of resting-state fMRI research in MDD. Burst keywords analysis suggest the emerging research frontiers in this field are characterized by prominent keywords such as dynamic functional connectivity, cognitive control network, transcranial brain stimulation, and childhood trauma. Overall, our study provides a systematic overview into the historical development, current status, and future trends of resting -state fMRI in MDD, thus offering a useful guide for researchers to plan their future research.
引用
收藏
页数:11
相关论文
共 52 条
[1]   Tracking and Monitoring Mood Stability of Patients With Major Depressive Disorder by Machine Learning Models Using Passive Digital Data: Prospective Naturalistic Multicenter Study [J].
Bai, Ran ;
Xiao, Le ;
Guo, Yu ;
Zhu, Xuequan ;
Li, Nanxi ;
Wang, Yashen ;
Chen, Qinqin ;
Feng, Lei ;
Wang, Yinghua ;
Yu, Xiangyi ;
Xie, Haiyong ;
Wang, Gang .
JMIR MHEALTH AND UHEALTH, 2021, 9 (03)
[2]   Resting-State Functional MR Imaging: A New Window to the Brain [J].
Barkhof, Frederik ;
Haller, Sven ;
Rombouts, Serge A. R. B. .
RADIOLOGY, 2014, 272 (01) :28-48
[3]   The Bidirectional Relationship of Depression and Inflammation: Double Trouble [J].
Beurel, Eleonore ;
Toups, Marisa ;
Nemeroff, Charles B. .
NEURON, 2020, 107 (02) :234-256
[4]   Toward discovery science of human brain function [J].
Biswal, Bharat B. ;
Mennes, Maarten ;
Zuo, Xi-Nian ;
Gohel, Suril ;
Kelly, Clare ;
Smith, Steve M. ;
Beckmann, Christian F. ;
Adelstein, Jonathan S. ;
Buckner, Randy L. ;
Colcombe, Stan ;
Dogonowski, Anne-Marie ;
Ernst, Monique ;
Fair, Damien ;
Hampson, Michelle ;
Hoptman, Matthew J. ;
Hyde, James S. ;
Kiviniemi, Vesa J. ;
Kotter, Rolf ;
Li, Shi-Jiang ;
Lin, Ching-Po ;
Lowe, Mark J. ;
Mackay, Clare ;
Madden, David J. ;
Madsen, Kristoffer H. ;
Margulies, Daniel S. ;
Mayberg, Helen S. ;
McMahon, Katie ;
Monk, Christopher S. ;
Mostofsky, Stewart H. ;
Nagel, Bonnie J. ;
Pekar, James J. ;
Peltier, Scott J. ;
Petersen, Steven E. ;
Riedl, Valentin ;
Rombouts, Serge A. R. B. ;
Rypma, Bart ;
Schlaggar, Bradley L. ;
Schmidt, Sein ;
Seidler, Rachael D. ;
Siegle, Greg J. ;
Sorg, Christian ;
Teng, Gao-Jun ;
Veijola, Juha ;
Villringer, Arno ;
Walter, Martin ;
Wang, Lihong ;
Weng, Xu-Chu ;
Whitfield-Gabrieli, Susan ;
Williamson, Peter ;
Windischberger, Christian .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2010, 107 (10) :4734-4739
[5]  
Borgman CL, 2002, ANNU REV INFORM SCI, V36, P3
[6]   Complex brain networks: graph theoretical analysis of structural and functional systems [J].
Bullmore, Edward T. ;
Sporns, Olaf .
NATURE REVIEWS NEUROSCIENCE, 2009, 10 (03) :186-198
[7]   Feature Review Functional connectomics in depression: insights into therapies [J].
Chai, Ya ;
Sheline, Yvette I. ;
Oathes, Desmond J. ;
Balderston, Nicholas L. ;
Rao, Hengyi ;
Yu, Meichen .
TRENDS IN COGNITIVE SCIENCES, 2023, 27 (09) :814-832
[8]   CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature [J].
Chen, CM .
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2006, 57 (03) :359-377
[9]   Searching for intellectual turning points: Progressive knowledge domain visualization [J].
Chen, CM .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 :5303-5310
[10]   Research on major depression in China: A perspective from bibliometric analysis [J].
Chen, Pan ;
Bai, Wei ;
Li, Xiao-Hong ;
Feng, Yuan ;
Cheung, Teris ;
Su, Zhaohui ;
Balbuena, Lloyd ;
Xiang, Yu-Tao .
JOURNAL OF AFFECTIVE DISORDERS, 2022, 315 :174-181