Department of Psychological and Brain Sciences, Indiana University Bloomington.
Department of Psychological Science, Washington University in St. Louis.
J Psychopathol Clin Sci. 2024 Nov;133(8):690-696. doi: 10.1037/abn0000908.
As clinical psychological science and biological psychiatry push to assess, model, and integrate heterogeneity and individual differences, approaches leveraging computational modeling, translational methods, and dimensional approaches to psychopathology are increasingly useful in establishing brain-behavior relationships. The field is ultimately interested in complex human behavior, and disruptions in such behaviors can arise through many different pathways, leading to heterogeneity in etiology for seemingly similar presentations. Parsing this complexity may be enhanced using "simple" tasks-which we define as those assaying elemental processes that are the building blocks to complexity. Using eyeblink conditioning as one illustrative example, we propose that simple tasks assessing elemental processes can be leveraged by and enhance computational psychiatry and dimensional approaches in service of understanding heterogeneity in psychiatry, especially when these tasks meet three principles: (a) an extensively mapped circuit, (b) clear brain-behavior relationships, and (c) relevance to understanding etiological processes and/or treatment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
随着临床心理学科学和生物精神病学努力评估、建模和整合异质性和个体差异,利用计算建模、转化方法和精神病理学维度方法的方法在建立脑-行为关系方面越来越有用。该领域最终关注的是复杂的人类行为,而这种行为的中断可能通过许多不同的途径发生,从而导致看似相似的表现出现病因的异质性。使用“简单”任务——我们将其定义为那些评估构成复杂性基础的基本过程的任务,可以增强对这种复杂性的解析,“简单”任务可以通过计算精神病学和维度方法来增强,以服务于理解精神病学中的异质性,特别是当这些任务符合三个原则时:(a)广泛映射的电路,(b)明确的脑-行为关系,以及(c)与理解病因过程和/或治疗的相关性。(PsycInfo 数据库记录(c)2024 APA,保留所有权利)。