A construct-network approach to bridging diagnostic and physiological domains: application to assessment of externalizing psychopathology.

A construct-network approach to bridging diagnostic and physiological domains: application to assessment of externalizing psychopathology.
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DOI:
10.1037/a0032807
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发表时间:
2013-08
影响因子:
4.6
通讯作者:
Kramer MD
Kramer MD
中科院分区:
心理学1区
文献类型:
--
作者:
Patrick CJ;Venables NC;Yancey JR;Hicks BM;Nelson LD;Kramer MD

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在努力将心理障碍与神经系统联系起来的努力中,一个关键的挑战是方法差异的问题,目的是发展对这类障碍的生物学知识概念。由于即使在不同领域对同一结构的测量也只有适度的相关性,因此对诊断生物标记物的大样本研究只产生适度的相关性也就不足为奇了。为了应对这一挑战,提出了一种结构网络方法,其中关键神经行为结构的心理测量操作化作为确定与精神病理学相关的倾向的神经指标的锚,并作为临床问题和神经生理学领域之间的桥梁。为抑制-去抑制的结构提供了一个经验例证,该结构与导致冲动控制不足的问题具有中心相关性。研究结果表明:(1)一个设计良好的特质去抑制心理测量指标可以有效地预测多种类型的外化问题;(2)这种去抑制心理测量方法显示出可靠的脑反应相关;(3)心理测量指标和脑反应指标可以结合起来形成一个联合的心理神经测量因素,有效地预测临床和生理领域的问题。作为一种在临床问题和神经系统之间架起桥梁的方法论,构造网络方法提供了一种具体的方法,通过这种方法,现有的心理障碍概念可以适应并被神经生物学的见解重塑。
A crucial challenge in efforts to link psychological disorders to neural systems, with the aim of developing biologically informed conceptions of such disorders, is the problem of method variance. Since even measures of the same construct in differing domains correlate only moderately, it is unsurprising that large sample studies of diagnostic biomarkers yield only modest associations. To address this challenge, a construct-network approach is proposed in which psychometric operationalizations of key neurobehavioral constructs serve as anchors for identifying neural indicators of psychopathology-relevant dispositions, and as vehicles for bridging between domains of clinical problems and neurophysiology. An empirical illustration is provided for the construct of inhibition–disinhibition, which is of central relevance to problems entailing deficient impulse control. Findings demonstrate that: (1) a well-designed psychometric index of trait disinhibition effectively predicts externalizing problems of multiple types, (2) this psychometric measure of disinhibition shows reliable brain response correlates, and (3) psychometric and brain-response indicators can be combined to form a joint psychoneurometric factor that predicts effectively across clinical and physiological domains. As a methodology for bridging between clinical problems and neural systems, the construct-network approach provides a concrete means by which existing conceptions of psychological disorders can accommodate and be reshaped by neurobiological insights.
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