神经科学研究的进展和大数据对焦虑症的分析。

IF 3.2 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL Wiley Interdisciplinary Reviews-Cognitive Science Pub Date : 2024-10-10 DOI:10.1002/wcs.1692
Qianmei Yu, Meihua Ruan, Yongjun Chen, Chun Wang
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引用次数: 0

摘要

焦虑症是一种受环境和遗传因素影响、多分子参与的复杂疾病,也是最常见的精神障碍之一。焦虑症的病因尚不明确,可能包括各种社会、心理和生物因素。因此,遗传学、神经生物学和神经影像学都不能独立解释其病理机制。通过检索 Web of Science 数据库、Derwent Innovation Patent 数据库、ClinicalTrials.gov 数据库和 Cortellis 数据库,我们分析了焦虑症的论文、专利、临床试验和药物现状。其次,通过对现有文献的梳理,总结了焦虑症的神经生理机制、脑成像、基因、抗焦虑药物等方面的内容。本文回顾了焦虑症的研究现状。焦虑症的异质性、治疗效果不佳以及转化医学方面的空白仍是阻碍其进一步发展的障碍。因此,深入探索焦虑症的潜在生物机制、检测和干预生物靶点,以及在现有干预策略基础上的进一步发展,将推动焦虑症的未来研究。本文归类于神经科学 > 临床。
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Advances in neuroscience research and big data's analysis on anxiety disorder.

Anxiety disorder is a complex disease with the influence of environmental and genetic factors and multimolecular participation, and it is also one of the most common mental disorders. The causes of disorders are not clear but may include a variety of social, psychological, and biological factors. Therefore, neither genetics, neurobiology, nor neuroimaging can independently explain the pathological mechanism. By searching the Web of Science databases, Derwent Innovation Patent database, ClinicalTrials.gov database, and Cortellis database, we analyze the current situation of papers, patents, clinical trials, and drugs of anxiety disorder. Second, the existing literature was reviewed to summarize the neurophysiological mechanism, brain imaging, gene, anti-anxiety drugs, and other aspects of anxiety disorders. This article reviews the research status of anxiety disorders. The heterogeneity of the disease, lack of treatment effectiveness, and gaps in translational medicine still present barriers to further advancement. Thus, in-depth explorations of the underlying biological mechanisms of anxiety disorders, the detection and intervention of biological targets, and further developments based on existing intervention strategies will drive future research on anxiety disorders. This article is categorized under: Neuroscience > Clinical.

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来源期刊
CiteScore
7.30
自引率
7.70%
发文量
50
期刊最新文献
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