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使用 BrainTest.org 进行高通量认知评估:在家族队列中检查认知控制。

High-throughput cognitive assessment using BrainTest.org: examining cognitive control in a family cohort.

机构信息

Semel Institute for Neuroscience and Human Behavior Brain Research Institute David Geffen School of Medicine, University of California Los Angeles, California.

出版信息

Brain Behav. 2013 Sep;3(5):552-61. doi: 10.1002/brb3.158. Epub 2013 Aug 2.

Abstract

Introduction Understanding the relationship between brain and complex latent behavioral constructs like cognitive control will require an inordinate amount of data. Internet-based methods can rapidly and efficiently refine behavioral measures in very large samples that are needed for genetics and behavioral research. Cognitive control is a multifactorial latent construct that is considered to be an endophenotype in numerous neuropsychiatric disorders, including attention deficit/hyperactivity disorder (ADHD). While previous studies have demonstrated high correlations between Web- and lab-based scores, skepticism remains for its broad implementation. Methods Here, we promote a different approach by characterizing a completely Web-recruited and tested community family sample on measures of cognitive control. We examine the prevalence of attention deficit symptoms in an online community sample of adolescents, demonstrate familial correlations in cognitive control measures, and use construct validation techniques to validate our high-throughput assessment approach. Results A total of 1214 participants performed Web-based tests of cognitive control with over 200 parent-child pairs analyzed as part of the primary study aims. The data show a wide range of "subclinical" symptomatology in a web community sample of adolescents that supports a dimensional view of attention and also provide preliminary narrow-sense heritability estimates for commonly used working memory and response inhibition tests. Conclusions Finally, we show strong face and construct validity for these measures of cognitive control that generally exceeds the evidence required of new lab-based measures. We discuss these results and how broad implementation of this platform may allow us to uncover important brain-behavior relationships quickly and efficiently.

摘要

简介

理解大脑与认知控制等复杂潜在行为结构之间的关系,需要大量的数据。基于互联网的方法可以快速有效地完善非常大的样本中的行为测量,这是遗传学和行为研究所必需的。认知控制是一个多因素的潜在结构,被认为是许多神经精神障碍的内表型,包括注意缺陷/多动障碍(ADHD)。虽然之前的研究已经证明了基于网络和基于实验室的评分之间的高度相关性,但对于其广泛应用仍存在怀疑。

方法

在这里,我们通过对认知控制的措施来描述一个完全基于网络招募和测试的社区家庭样本,从而提供一种不同的方法。我们在青少年的在线社区样本中检查注意缺陷症状的流行程度,证明认知控制措施中的家族相关性,并使用结构验证技术来验证我们的高通量评估方法。

结果

共有 1214 名参与者进行了基于网络的认知控制测试,其中超过 200 对父母-子女作为主要研究目标的一部分进行了分析。这些数据显示了青少年网络社区样本中广泛的“亚临床”症状,支持了注意力的维度观点,也为常用的工作记忆和反应抑制测试提供了初步的狭义遗传估计。

结论

最后,我们展示了这些认知控制措施的强大的表面和结构有效性,通常超过了新的基于实验室的措施所需的证据。我们讨论了这些结果,以及如何广泛实施这个平台可以使我们快速有效地发现重要的大脑-行为关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567c/3869983/0ffe54af9d53/brb30003-0552-f1.jpg

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