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Neural correlates of learning accommodation and consolidation in generalised anxiety disorder

心理学 焦虑 前额叶皮质 基底神经节 海马体 认知心理学 神经科学 工作记忆 记忆巩固 认知 精神科 中枢神经系统
作者
Marta Migó,Tina Chou,Alik S. Widge,Amy T. Peters,Kristen K. Ellard,Darin D. Dougherty,Thilo Deckersbach
出处
期刊:Acta Neuropsychiatrica [Cambridge University Press]
卷期号:35 (4): 218-225
标识
DOI:10.1017/neu.2022.16
摘要

Abstract Objective. Anxiety can interfere with attention and working memory, which are components that affect learning. Statistical models have been designed to study learning, such as the Bayesian Learning Model, which takes into account prior possibilities and behaviours to determine how much of a new behaviour is determined by learning instead of chance. However, the neurobiological basis underlying how anxiety interferes with learning is not yet known. Accordingly, we aimed to use neuroimaging techniques and apply a Bayesian Learning Model to study learning in individuals with generalised anxiety disorder (GAD). Methods. Participants were 25 controls and 14 individuals with GAD and comorbid disorders. During fMRI, participants completed a shape-button association learning and reversal task. Using a flexible factorial analysis in SPM, activation in the dorsolateral prefrontal cortex, basal ganglia, and hippocampus was compared between groups during first reversal. Beta values from the peak of these regions were extracted for all learning conditions and submitted to repeated measures analyses in SPSS. Results. Individuals with GAD showed less activation in the basal ganglia and the hippocampus only in the first reversal compared with controls. This difference was not present in the initial learning and second reversal. Conclusion. Given that the basal ganglia is associated with initial learning, and the hippocampus with transfer of knowledge from short- to long-term memory, our results suggest that GAD may engage these regions to a lesser extent during early accommodation or consolidation of learning, but have no longer term effects in brain activation patterns during subsequent learning.

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