von Rhein Daniel, Beckmann Christian F, Franke Barbara, Oosterlaan Jaap, Heslenfeld Dirk J, Hoekstra Pieter J, Hartman Catharina A, Luman Marjolein, Faraone Stephen V, Cools Roshan, Buitelaar Jan K, Mennes Maarten
Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
Donders Institute for Brain, Cognition and Behaviour, Donders Center for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands.
Hum Brain Mapp. 2017 May;38(5):2359-2369. doi: 10.1002/hbm.23522. Epub 2017 Feb 8.
Reward processing is a key aspect of cognitive control processes, putatively instantiated by mesolimbic and mesocortical brain circuits. Deficient signaling within these circuits has been associated with psychopathology. We applied a network discovery approach to assess specific functional networks associated with reward processing in participants with attention-deficit/hyperactivity disorder (ADHD).
To describe task-related processes in terms of integrated functional networks, we applied independent component analysis (ICA) to task response maps of 60 healthy participants who performed a monetary incentive delay (MID) task. The resulting components were interpreted on the basis of their similarity with group-level task responses as well as their similarity with brain networks derived from resting state fMRI analyses. ADHD-related effects on network characteristics including functional connectivity and communication between networks were examined in an independent sample comprising 150 participants with ADHD and 48 healthy controls.
We identified 23 components to be associated with 4 large-scale functional networks: the default-mode, visual, executive control, and salience networks. The salience network showed a specific association with reward processing as well as the highest degree of within-network integration. ADHD was associated with decreased functional connectivity between the salience and executive control networks as well as with peripheral brain regions.
Reward processing as measured with the MID task involves one reward-specific and three general functional networks. Participants with ADHD exhibited alterations in connectivity of both the salience and executive control networks and associated brain regions during task performance. Hum Brain Mapp 38:2359-2369, 2017. © 2017 Wiley Periodicals, Inc.
奖赏处理是认知控制过程的一个关键方面,据推测由中脑边缘和中脑皮质脑回路实现。这些回路内的信号传导不足与精神病理学有关。我们应用一种网络发现方法来评估注意缺陷多动障碍(ADHD)患者中与奖赏处理相关的特定功能网络。
为了从整合功能网络的角度描述与任务相关的过程,我们对60名执行金钱激励延迟(MID)任务的健康参与者的任务反应图应用了独立成分分析(ICA)。根据所得成分与组水平任务反应的相似性以及与静息态功能磁共振成像(fMRI)分析得出的脑网络的相似性对其进行解释。在一个由150名ADHD患者和48名健康对照组成的独立样本中,研究了ADHD对包括功能连接和网络间通信在内的网络特征的影响。
我们确定了23个与4个大规模功能网络相关的成分:默认模式网络、视觉网络、执行控制网络和突显网络。突显网络与奖赏处理以及网络内的最高整合程度表现出特定关联。ADHD与突显网络和执行控制网络以及外周脑区之间的功能连接减少有关。
用MID任务测量的奖赏处理涉及一个奖赏特异性网络和三个一般功能网络。ADHD患者在任务执行期间突显网络和执行控制网络以及相关脑区的连接出现改变。《人类大脑图谱》38:2359 - 2369,2017年。© 2017威利期刊公司。