Unveiling the brain mechanism underlying depression: 12 Years of insights from bibliometric and visualization analysis

IF 3.7 3区 医学 Q2 NEUROSCIENCES Brain Research Bulletin Pub Date : 2025-02-11 DOI:10.1016/j.brainresbull.2025.111246
Donghai Wu , Siying Qu , Haiju Sun , Shuting Zhou , Xinyuan Qu , Yutian Chen , Hantong Hu , Xiaoyu Li
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Abstract

Depression is a common but serious mental health illness affected human’s physiology and psychology. In contemporary times, neurophysiological research on depression has emerged as a prominent area of investigation, yet there remains a paucity of review elucidating the central mechanisms of depression in the brain. Consequently, we undertook a bibliometric analysis and visualization assessment to underscore recent advancements in research pertaining to the neural underpinnings of depression. By employing these methods, we have collected articles spanning the period from 2013 to 2024, shedding light on the latest insights into the brain mechanisms associated with depression. Bibliometric analysis found 16327 research papers in the field of brain mechanism underlying depression, overall showing a sustained growth trend. Through meticulous analysis of collected data on institutions and countries, authors, co-cited literature, keywords, etc., this paper humbly aims to tentatively identify future research hotspots and frontiers, hoping to modestly contribute to and stimulate further scholarly progress in the field.
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揭示抑郁症背后的大脑机制:12年来文献计量学和可视化分析的见解
抑郁症是影响人类生理和心理的一种常见而严重的精神健康疾病。在当代,关于抑郁症的神经生理学研究已经成为一个重要的研究领域,然而,关于抑郁症在大脑中的核心机制的研究仍然缺乏。因此,我们进行了文献计量分析和可视化评估,以强调抑郁症神经基础研究的最新进展。通过采用这些方法,我们收集了2013年至2024年期间的文章,揭示了与抑郁症相关的大脑机制的最新见解。文献计量分析发现抑郁症脑机制领域的研究论文16327篇,总体呈现持续增长趋势。本文通过对收集到的机构、国家、作者、共被引文献、关键词等数据进行细致的分析,虚心地初步确定未来的研究热点和前沿,希望为该领域的进一步学术进步尽一份微薄之力。
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来源期刊
Brain Research Bulletin
Brain Research Bulletin 医学-神经科学
CiteScore
6.90
自引率
2.60%
发文量
253
审稿时长
67 days
期刊介绍: The Brain Research Bulletin (BRB) aims to publish novel work that advances our knowledge of molecular and cellular mechanisms that underlie neural network properties associated with behavior, cognition and other brain functions during neurodevelopment and in the adult. Although clinical research is out of the Journal''s scope, the BRB also aims to publish translation research that provides insight into biological mechanisms and processes associated with neurodegeneration mechanisms, neurological diseases and neuropsychiatric disorders. The Journal is especially interested in research using novel methodologies, such as optogenetics, multielectrode array recordings and life imaging in wild-type and genetically-modified animal models, with the goal to advance our understanding of how neurons, glia and networks function in vivo.
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