A cognitive process modeling framework for the ABCD study stop-signal task.
A cognitive process modeling framework for the ABCD study stop-signal task.
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DOI：
10.1016/j.dcn.2022.101191
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发表时间：
2023-02
影响因子：
4.7
通讯作者：
Heathcote, Andrew
中科院分区：
文献类型：
--
作者：
Weigard, Alexander;Matzke, Dora;Tanis, Charlotte;Heathcote, Andrew
The Adolescent Brain Cognitive Development (ABCD) Study is a longitudinal neuroimaging study of unprecedented scale that is in the process of following over 11,000 youth from middle childhood though age 20. However, a design feature of the study's stop-signal task violates "context independence", an assumption critical to current non-parametric methods for estimating stop-signal reaction time (SSRT), a key measurement of inhibitory ability in the研究使一些专家呼吁更改任务，并谨慎使用，我们提出了一个认知过程建模框架，即RDEX-ABCD模型，该模型为这种设计特征在“ GO”过程中的影响提供了对ABCD数据的关键趋势。 ABCD设计可以在几个现实的场景中导致错误推断。
ABCD研究的数据可通过NIH数据档案（NDA）获得：NDA.NIH.GOV/ABCD。
停止信号任务的形式模型可用于测量机械过程。
ABCD研究停止信号范式的特征违反了关键模型假设。
我们创建了一个新的模型，以解决这种违规的影响。
新模型可用于测量ABCD中的几个机械过程。
The Adolescent Brain Cognitive Development (ABCD) Study is a longitudinal neuroimaging study of unprecedented scale that is in the process of following over 11,000 youth from middle childhood though age 20. However, a design feature of the study's stop-signal task violates "context independence", an assumption critical to current non-parametric methods for estimating stop-signal reaction time (SSRT), a key measure of inhibitory ability in the study. This has led some experts to call for the task to be changed and for previously collected data to be used with caution. We present a cognitive process modeling framework, the RDEX-ABCD model, that provides a parsimonious explanation for the impact of this design feature on “go” stimulus processing and successfully accounts for key behavioral trends in the ABCD data. Simulation studies using this model suggest that failing to account for the context independence violations in the ABCD design can lead to erroneous inferences in several realistic scenarios. However, we demonstrate that RDEX-ABCD effectively addresses these violations and can be used to accurately measure SSRT along with an array of additional mechanistic parameters of interest (e.g., attention to the stop signal, cognitive efficiency), advancing investigators’ ability to draw valid and nuanced inferences from ABCD data. Data from the ABCD Study are available through the NIH Data Archive (NDA): nda.nih.gov/abcd. Code for all analyses featured in this study is openly available on the Open Science Framework (OSF): osf.io/2h8a7/. Formal models of the stop-signal task can be used to measure mechanistic processes. A feature of the ABCD Study stop-signal paradigm violates a key model assumption. We created a novel model that addresses the impact of this violation. The new model can be used to measure several mechanistic processes in ABCD.
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影响因子：
4.7
作者：
Casey BJ;Cannonier T;Conley MI;Cohen AO;Barch DM;Heitzeg MM;Soules ME;Teslovich T;Dellarco DV;Garavan H;Orr CA;Wager TD;Banich MT;Speer NK;Sutherland MT;Riedel MC;Dick AS;Bjork JM;Thomas KM;Chaarani B;Mejia MH;Hagler DJ Jr;Daniela Cornejo M;Sicat CS;Harms MP;Dosenbach NUF;Rosenberg M;Earl E;Bartsch H;Watts R;Polimeni JR;Kuperman JM;Fair DA;Dale AM;ABCD Imaging Acquisition Workgroup
通讯作者：
ABCD Imaging Acquisition Workgroup
DOI：
10.1111/jcpp.13256
发表时间：
2021-03
期刊：
Journal of child psychology and psychiatry, and allied disciplines
影响因子：
--
作者：
Funkhouser CJ;Chacko AA;Correa KA;Kaiser AJE;Shankman SA
通讯作者：
Shankman SA
影响因子：
22.4
作者：
KAHNEMAN, D
通讯作者：
KAHNEMAN, D
影响因子：
3.7
作者：
Etz A;Vandekerckhove J
通讯作者：
Vandekerckhove J
影响因子：
22.4
作者：
HEATHCOTE, A;POPIEL, SJ;MEWHORT, DJK
通讯作者：
MEWHORT, DJK