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漂移-扩散模型参数的心理测量来自埃里克森侧面任务:在两个独立样本中的可靠性和有效性

Brent Ian Rappaport¹, Stewart A Shankman², James E Glazer²

¹Department of Psychiatry, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. brent.rappaport@northwestern.edu.

Cognitive, affective & behavioral neuroscience

|October 23, 2024

概括

侧边任务的漂移扩散建模参数显示了可靠和有效的认知控制指标. 与传统指标相比,这些计算模型可以更好地识别认知缺陷.

科学领域:

认知心理学认知心理学
计算神经科学是一种神经科学.
心理测量心理测量心理测量

背景情况:

侧面任务是认知控制的标准衡量标准.
漂移扩散建模 (DDM) 为认知子过程提供可分离的参数.
辅助任务中DDM参数的心理特征需要进一步确定.

研究的目的:

检查DDM参数 (漂移率,边界分离) 与传统侧边任务措施的可靠性和有效性.
评估DDM参数与认知控制的心理生理学 (ERN) 和神经心理学的测量增量收的有效性.

主要方法:

两个独立的研究 (N=381,N=83) 使用侧面任务与脑电图 (EEG).
四个指标的比较:原始精度,反应时间 (RT) 干扰,NIH工具箱侧边得分和两个DDM参数.
可靠性通过分半和测试-重新测试方法进行评估.
通过与错误相关负面性 (ERN) 和其他认知控制措施的相关性来评估有效性.

主要成果:

DDM参数 (漂移率和边界分离) 显示出与传统措施相比可靠性.
DDM参数与ERN和神经心理测量表现出优异的增量收有效性.
较大的漂移率和较小的边界隔离与更大的ERN幅度和更好的抑制/设置转移有关.

结论:

像DDM这样的计算模型为认知控制子过程提供了可靠和有效的见解.
与传统分数相比,DDM参数与其他认知控制措施提供了更有意义的关系.
DDM的应用可以增强认知控制缺陷的识别,特别是在精神疾病中.

关键词:

认知控制认知控制漂移-扩散建模的模型.欧洲经济网络 (ERN)埃里克森是一名侧翼球员.心理测量心理测量心理测量

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