Department of Clinical Psychology, Central Institute of Mental Health, University of Heidelberg/Medical Faculty Mannheim, Mannheim, Germany.
Bernstein Center for Computational Neuroscience Heidelberg/Mannheim, Mannheim, Germany.
Addict Biol. 2019 Nov;24(6):1245-1253. doi: 10.1111/adb.12692. Epub 2018 Nov 23.
Frontostriatal circuits are centrally involved in the selection of behavioral programs and play a prominent role in alcohol use disorder (AUD) as well as other mental disorders. However, how frontal regions change their striatal connectivity to implement adaptive cognitive control is still not fully understood. Here, we developed an approach for functional magnetic resonance imaging (fMRI) connectivity analysis in which we change the focus from connectivity to individual voxels towards spatial information about the location of strongest functional connectivity. In resting state data of n = 66 participants with AUD and n = 40 healthy controls (HC) we used the approach to estimate frontostriatal connectivity gradients consistent with nonhuman primate tract-tracing studies, characterized for each frontal voxel the striatal peak connectivity location on this gradient (PeaCoG), and tested for group differences and associations with clinical variables. We identified a cluster in the right orbitofrontal cortex (rOFC) with a peak connectivity shift towards ventral striatal regions in AUD. Reduced variability of rOFC striatal peak connectivity in the AUD group suggests a "clamping" to the ventral striatum as the underlying effect. Within the AUD group striatal peak connectivity in the superior frontal gyrus was associated with self-efficacy to abstain from alcohol, in the medial frontal and dorsolateral prefrontal cortex with alcohol dependency, and in the right inferior frontal gyrus with the urge to consume alcohol. Our results demonstrate that the functional topography of frontostriatal circuits exhibits interindividual variability, which provides insight into frontostriatal network adaptations in AUD and potentially other mental disorders.
额眶部-纹状体回路在行为程序的选择中起着核心作用,在酒精使用障碍(AUD)以及其他精神障碍中起着突出的作用。然而,额区如何改变与纹状体的连接以实现适应性认知控制,仍不完全清楚。在这里,我们开发了一种功能磁共振成像(fMRI)连接分析方法,该方法将我们的关注点从连接转变为单个体素,转而关注最强功能连接的位置的空间信息。在 n=66 名 AUD 患者和 n=40 名健康对照组(HC)的静息状态数据中,我们使用该方法来估计与非人类灵长类动物追踪研究一致的额纹状体连接梯度,为每个额区体素确定梯度上的纹状体峰值连接位置(PeaCoG),并测试组间差异和与临床变量的关联。我们在右侧眶额皮层(rOFC)中确定了一个簇,其连接峰值向腹侧纹状体区域转移。AUD 组 rOFC 纹状体峰值连接的变异性降低表明存在向腹侧纹状体的“固定”,这是潜在的影响。在 AUD 组中,额上回的纹状体峰值连接与戒酒的自我效能相关,在额内侧回和背外侧前额叶皮质与酒精依赖相关,在右侧下额叶与饮酒欲望相关。我们的结果表明,额纹状体回路的功能拓扑结构表现出个体间的可变性,这为 AUD 及潜在的其他精神障碍中的额纹状体网络适应提供了深入了解。