重性抑郁症的病理生理学成像——从局部模型到基于电路的分析。

Michael T Treadway, Diego A Pizzagalli
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引用次数: 61

摘要

在过去的几十年里,关于重度抑郁症(MDD)的神经影像学文献有了长足的发展,在识别与抑郁症相关的特定大脑区域、神经递质系统和网络方面取得了巨大的进步。尽管取得了这些进展,但关于重度抑郁症的病理生理学和病因学的基本问题仍然存在。更重要的是,这项工作尚未直接影响临床实践。找到一种客观诊断精神障碍的方法,一直是临床心理学和精神病学领域的目标。然而,令人沮丧的是,在这方面几乎没有取得进展,诊断有效性和可靠性的“黄金标准”仍然是专家共识。鉴于这一挑战,当前综述的重点是对MDD研究中不同神经成像方法的关键发现进行关键总结,包括结构、功能和神经化学成像研究。在此总结之后,我们讨论了一些目前的概念性障碍,以更好地理解抑郁症的病理生理,并对未来的神经影像学研究提出建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Imaging the pathophysiology of major depressive disorder - from localist models to circuit-based analysis.

Imaging the pathophysiology of major depressive disorder - from localist models to circuit-based analysis.

Imaging the pathophysiology of major depressive disorder - from localist models to circuit-based analysis.

The neuroimaging literature of Major Depressive Disorder (MDD) has grown substantially over the last several decades, facilitating great advances in the identification of specific brain regions, neurotransmitter systems and networks associated with depressive illness. Despite this progress, fundamental questions remain about the pathophysiology and etiology of MDD. More importantly, this body of work has yet to directly influence clinical practice. It has long been a goal for the fields of clinical psychology and psychiatry to have a means of making objective diagnoses of mental disorders. Frustratingly little movement has been achieved on this front, however, and the 'gold-standard' of diagnostic validity and reliability remains expert consensus. In light of this challenge, the focus of the current review is to provide a critical summary of key findings from different neuroimaging approaches in MDD research, including structural, functional and neurochemical imaging studies. Following this summary, we discuss some of the current conceptual obstacles to better understanding the pathophysiology of depression, and conclude with recommendations for future neuroimaging research.

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