刺激-反应学习过程中丘脑核和皮层网络的渐进式变化。

IF 3.3 2区 医学 Q1 NEUROIMAGING
Chelsea Jarrett, Katharina Zwosta, Xiaoyu Wang, Uta Wolfensteller, Juan Eugenio Iglesias, Katharina von Kriegstein, Hannes Ruge
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引用次数: 0

摘要

丘脑与大脑皮层和皮层下区域相连,是认知网络中的一个节点。它是由功能不同的细胞核组成的异质结构,具有独特的连接模式。然而,它们对网络内认知功能的贡献却知之甚少。最近的动物研究表明,丘脑核如中背核在目标导向行为中起着关键作用。我们的目的是研究丘脑核在皮层和皮层下网络中的功能整合是如何在人类从更受控制的目标导向行为向更自动或习惯性行为过渡时发生变化的。我们分析了52名健康受试者的刺激-反应学习研究的功能磁共振成像(fMRI)数据,以研究丘脑核与皮质网络和皮质下结构之间的功能连通性(FC)在学习过程中的变化。我们还在原生空间中单独定义了额外的兴趣区(roi),将丘脑分割为47个核,并在基底神经节和海马内分割了38个亚区。此外,我们通过最大概率网络模板定义了12个大脑皮层roi。通过ROI-to-ROI功能网络分析,检测联想S-R学习相关的连通性变化。我们的研究结果表明,学习与:(1)额顶叶网络和高阶丘脑核之间的FC减少有关;(2)扣窝-眼窝网络与枕核之间的FC增加;(3)默认模式网络(DMN)与右侧中背核之间的FC减少;(4) DMN与左中背核间FC增加;(5)丘脑核和壳核亚区之间功能连通性的变化;(6)丘脑内FC的增加。总之,这表明几个丘脑核参与了从控制行为到更自动行为的学习相关转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Progressive Changes Between Thalamic Nuclei and Cortical Networks Across Stimulus-Response Learning.

The thalamus is connected to the cerebral cortex and subcortical regions, serving as a node within cognitive networks. It is a heterogeneous structure formed of functionally distinct nuclei with unique connectivity patterns. However, their contributions to cognitive functioning within networks is poorly understood. Recent animal research suggests that thalamic nuclei such as the mediodorsal nucleus play critical roles in goal-directed behaviour. Our aim was to investigate how functional integration of thalamic nuclei within cortical and subcortical networks changes whilst transitioning from more controlled goal-directed behaviour towards more automatic or habitual behaviour in humans. We analysed functional magnetic resonance imaging (fMRI) data from a stimulus-response learning study to investigate functional connectivity (FC) changes across learning between thalamic nuclei with cortical networks and subcortical structures in 52 healthy subjects. We also defined additional regions-of-interest (ROIs) individually in native space, segmenting the thalamus into 47 nuclei and segmenting 38 subregions within the basal ganglia and hippocampus. Additionally, we defined 12 cerebral cortex ROIs via maximum-probability network templates. Associative S-R learning-related connectivity changes were examined via ROI-to-ROI functional network analysis. Our results showed that learning was associated with: (1) decreasing FC between the frontoparietal network and higher order thalamic nuclei; (2) increasing FC between the cingulo-opercular network and pulvinar nuclei; (3) decreasing FC between the default mode network (DMN) and right mediodorsal nuclei; (4) increasing FC between the DMN and left mediodorsal nuclei; (5) changes in functional connectivity between thalamic nuclei and putamen subregions, and (6) increasing intrathalamic FC. Together, this suggests that several thalamic nuclei are involved in the learning-related transition from controlled to more automatic behaviour.

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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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