The free-viewing matrix task: A reliable measure of attention allocation in psychopathology

IF 5.4 3区 材料科学 Q2 CHEMISTRY, PHYSICAL
Dana Shamai-Leshem , Rany Abend , Gal Arad , Omer Azriel , Lyndsey Chong , Peter de Jong , Chelsea Dyan Gober Dykan , Greg Hajcak , Julia Klawohn , Alexandria Meyer , Klavdia Neophytou , Yuval Neria , Georgia Panayiotou , Franklin Schneier , Ali Soleymani , Noga Yair , Daniel S. Pine , Yair Bar-Haim , Amit Lazarov
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引用次数: 1

Abstract

Aberrant attention allocation has been implicated in the etiology and maintenance of a range of psychopathologies. However, three decades of research, relying primarily on manual response-time tasks, have been challenged on the grounds of poor reliability of its attention bias indices. Here, in a large, multisite, international study we provide reliability information for a new eye-tracking-based measure of attention allocation and its relation to psychopathology and age. Data from 1567 participants, across a wide range of psychiatric diagnoses and ages, were aggregated from nine sites around the world. Of these, 213 participants also provided retest data. Acceptable overall internal consistency and test-retest reliability were observed among adult participants (Cronbach’s alpha = 0.86 and r(213) = 0.89, respectively), as well as across all examined psychopathologies. Youth demonstrated lower internal consistency scores (Cronbach’s alpha = 0.65). Finally, the percent dwell time index derived from the task statistically differentiated between healthy participants and participants diagnosed with social anxiety disorder, major depression, and post-traumatic stress disorder. These results potentially address a long-standing reliability crisis in this research field. Aberrant attention allocation patterns in a variety of psychiatric disorders may be targeted with the hope of affecting symptoms. The attention allocation index derived from the matrix task offers reliable means to measure such cognitive target engagement in clinical contexts.

自由观察矩阵任务:精神病理学中注意力分配的可靠度量。
注意力分配异常与一系列精神病理学的病因和维持有关。然而,三十年来主要依靠手动反应时间任务的研究,由于其注意力偏差指数的可靠性差而受到挑战。在这里,在一项大型、多站点的国际研究中,我们为一种新的基于眼动追踪的注意力分配测量方法及其与精神病理学和年龄的关系提供了可靠性信息。来自1567名参与者的数据来自世界各地的九个地点,涵盖了广泛的精神病诊断和年龄。其中213名参与者还提供了复试数据。在成年参与者中观察到可接受的总体内部一致性和重测可靠性(分别为Cronbachα=0.86和r(213)=0.89),以及在所有检查的精神病理学中。年轻人表现出较低的内部一致性得分(Cronbachα=0.65)。最后,从任务中得出的停留时间百分比指数在健康参与者和被诊断为社交焦虑症、严重抑郁症和创伤后应激障碍的参与者之间进行了统计区分。这些结果可能解决了该研究领域长期存在的可靠性危机。在各种精神疾病中,异常的注意力分配模式可能会成为影响症状的目标。从矩阵任务导出的注意力分配指数为测量临床环境中的认知目标参与提供了可靠的手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Energy Materials
ACS Applied Energy Materials Materials Science-Materials Chemistry
CiteScore
10.30
自引率
6.20%
发文量
1368
期刊介绍: ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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