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

IF 3.5 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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引用次数: 0

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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来源期刊

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.