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动态额眶部功能峰连通性(在酒精使用障碍中)。

Dynamic frontostriatal functional peak connectivity (in alcohol use disorder).

机构信息

Department of Clinical Psychology, Central Institute of Mental Health, Heidelberg University/Medical Faculty Mannheim, Mannheim, Germany.

Department of Psychology, Heidelberg University, Heidelberg, Germany.

出版信息

Hum Brain Mapp. 2021 Jan;42(1):36-46. doi: 10.1002/hbm.25201. Epub 2020 Sep 4.

DOI:10.1002/hbm.25201
PMID:32885886
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7721230/
Abstract

Alcohol use disorder (AUD) is associated with changes in frontostriatal connectivity, but functional magnetic resonance imaging (fMRI) functional connectivity (FC) approaches are usually not adapted to these circuits. We developed a circuit-specific fMRI analysis approach to detect dynamic changes in frontostriatal FC inspired by medial-ventral-rostral to lateral-dorsal-caudal frontostriatal gradients originally identified in nonhuman primate tract-tracing data. In our PeaCoG ("peak connectivity on a gradient") approach we use information about the location of strongest FC on empirical frontostriatal connectivity gradients. We have recently described a basic PeaCoG version with conventional FC, and now developed a dynamic PeaCoG approach with sliding-window FC. In resting state data of n = 66 AUD participants and n = 40 healthy controls we continue here the analyses that we began with the basic version. Our former result of an AUD-associated ventral shift in right orbitofrontal cortex PeaCoG is consistently detected in the dynamic approach. Temporospatial variability of dynamic PeaCoG in the left dorsolateral prefrontal cortex is reduced in AUD and associated with self-efficacy to abstain and days of abstinence. Our method has the potential to provide insight into the dynamics of frontostriatal circuits, which has so far been relatively unexplored, and into their role in mental disorders and normal cognition.

摘要

酒精使用障碍(AUD)与额-纹状体连接变化有关,但功能磁共振成像(fMRI)功能连接(FC)方法通常不适应这些回路。我们开发了一种特定于回路的 fMRI 分析方法,以检测额-纹状体 FC 的动态变化,该方法受灵长类动物追踪数据中最初确定的内侧-腹侧-额极到外侧-背侧-尾侧额-纹状体梯度的启发。在我们的 PeaCoG(“梯度上的峰值连接”)方法中,我们使用关于经验额-纹状体连接梯度上最强 FC 位置的信息。我们最近描述了具有常规 FC 的基本 PeaCoG 版本,现在开发了具有滑动窗口 FC 的动态 PeaCoG 方法。在 n = 66 名 AUD 参与者和 n = 40 名健康对照者的静息状态数据中,我们继续使用基本版本开始的分析。我们以前的结果表明,AUD 相关的右侧眶额皮层 PeaCoG 腹侧移位在动态方法中得到了一致的检测。左侧背外侧前额叶皮质中动态 PeaCoG 的时空可变性在 AUD 中降低,与戒断的自我效能和戒断天数有关。我们的方法有可能提供对额-纹状体回路动态的深入了解,而这些动态迄今为止还相对未知,并且对精神障碍和正常认知的作用也有深入了解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b57d/7721230/d49858a2890f/HBM-42-36-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b57d/7721230/7fb96cabe62c/HBM-42-36-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b57d/7721230/9d4d6543b8c1/HBM-42-36-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b57d/7721230/5c6fd09274ef/HBM-42-36-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b57d/7721230/d49858a2890f/HBM-42-36-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b57d/7721230/7fb96cabe62c/HBM-42-36-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b57d/7721230/9d4d6543b8c1/HBM-42-36-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b57d/7721230/5c6fd09274ef/HBM-42-36-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b57d/7721230/d49858a2890f/HBM-42-36-g004.jpg

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