Helou Ammir Y, Bittencourt Jackson C
Laboratory of Chemical Neuroanatomy, Department of Anatomy, Institute of Biomedical Sciences, Universidade de São Paulo, São Paulo, Brazil.
Center for Neuroscience and Behavior, Institute of Psychology, Universidade de São Paulo, São Paulo, Brazil.
Front Behav Neurosci. 2024 Apr 26;18:1363856. doi: 10.3389/fnbeh.2024.1363856. eCollection 2024.
Over several decades, motivated behavior has emerged as a crucial study area within neuroscience. Understanding the neural substrates and mechanisms driving behaviors related to reward, addiction, and other motivation forms is pivotal for novel therapeutic interventions. This review provides a bibliometric analysis of the literature, highlighting the main trends, influential authors, and the potential future direction of the field. Utilizing a dataset comprised by 3,150 publications from the Web of Science and Scopus databases ("motivated behavior as query), we delve into key metrics like publication trends, keyword prevalence, author collaborations, citation impacts, and employed an unsupervised natural language processing technique - Latent Dirichlet Allocation - for topic modeling. From early investigations focusing on basic neural mechanism and behaviors in animal models to more recent studies exploring the complex interplay of neurobiological, psychological, and social factors in humans, the field had undergone a remarkable transformation. The last century has seen a proliferation of research dedicated to uncovering the intricacies of motivation, significantly enriching our understanding of its myriad implications for human behavior and mental health. This bibliometric analysis aims to offer comprehensive insights into this dynamic research area, highlighting the field's key contributions and potential future directions, thereby serving as a valuable resource for researchers, and hopefully give a more thorough understanding of the research area.
几十年来，动机行为已成为神经科学领域的一个关键研究领域。了解驱动与奖励、成瘾及其他动机形式相关行为的神经基础和机制，对于新型治疗干预措施至关重要。本综述对该文献进行了文献计量分析，突出了该领域的主要趋势、有影响力的作者以及潜在的未来发展方向。利用由来自科学引文索引（Web of Science）和Scopus数据库的3150篇出版物组成的数据集（以“动机行为”为检索词），我们深入研究了诸如出版趋势、关键词流行度、作者合作、引文影响力等关键指标，并采用了一种无监督自然语言处理技术——潜在狄利克雷分配（Latent Dirichlet Allocation）进行主题建模。从早期专注于动物模型中基本神经机制和行为的研究，到最近探索神经生物学、心理学和社会因素在人类中复杂相互作用的研究，该领域经历了显著的转变。上个世纪见证了致力于揭示动机复杂性的研究大量涌现，极大地丰富了我们对其对人类行为和心理健康众多影响的理解。这项文献计量分析旨在为这个动态的研究领域提供全面的见解，突出该领域的关键贡献和潜在的未来发展方向，从而为研究人员提供有价值的资源，并有望让人们对该研究领域有更深入的理解。
