Embracing variability in the search for biological mechanisms of psychiatric illness.

IF 16.7 1区 心理学 Q1 BEHAVIORAL SCIENCES
Ashlea Segal, Jeggan Tiego, Linden Parkes, Avram J Holmes, Andre F Marquand, Alex Fornito
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引用次数: 0

Abstract

Despite decades of research, we lack objective diagnostic or prognostic biomarkers of mental health problems. A key reason for this limited progress is a reliance on the traditional case-control paradigm, which assumes that each disorder has a single cause that can be uncovered by comparing average phenotypic values of patient and control samples. Here, we discuss the problematic assumptions on which this paradigm is based and highlight recent efforts that seek to characterize, rather than minimize, the inherent clinical and biological variability that underpins psychiatric populations. Embracing such variability is necessary to understand pathophysiological mechanisms and develop more targeted and effective treatments.

在寻找精神病生物学机制的过程中拥抱变异性。
尽管进行了数十年的研究,我们仍然缺乏精神健康问题的客观诊断或预后生物标志物。造成进展有限的一个关键原因是对传统病例对照范式的依赖,这种范式假定每种疾病都有一个单一的病因,通过比较患者和对照样本的平均表型值就能发现病因。在此,我们将讨论这一范式所依据的有问题的假设,并重点介绍最近的一些研究,这些研究试图描述而不是最小化精神病人群固有的临床和生物学变异性。要了解病理生理机制并开发更有针对性的有效治疗方法,就必须接受这种变异性。
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来源期刊
Trends in Cognitive Sciences
Trends in Cognitive Sciences 医学-行为科学
CiteScore
27.90
自引率
1.50%
发文量
156
审稿时长
6-12 weeks
期刊介绍: Essential reading for those working directly in the cognitive sciences or in related specialist areas, Trends in Cognitive Sciences provides an instant overview of current thinking for scientists, students and teachers who want to keep up with the latest developments in the cognitive sciences. The journal brings together research in psychology, artificial intelligence, linguistics, philosophy, computer science and neuroscience. Trends in Cognitive Sciences provides a platform for the interaction of these disciplines and the evolution of cognitive science as an independent field of study.
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