Resting state networks distinguish human ventral tegmental area from substantia nigra.
Resting state networks distinguish human ventral tegmental area from substantia nigra.
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DOI：
10.1016/j.neuroimage.2014.06.047
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发表时间：
2014-10-15
期刊：
影响因子：
5.7
通讯作者：
Adcock RA
中科院分区：
文献类型：
--
作者：
Murty VP;Shermohammed M;Smith DV;Carter RM;Huettel SA;Adcock RA
多巴胺能网络调节从感知到学习再到行动的一系列功能的神经处理。对于中脑的多巴胺能核，已经提出了基于解剖和功能的多种组织方案。一种模式起源于啮齿动物模型，描绘了腹侧被盖区(VTA)，涉及成瘾等复杂行为，来自更外侧的黑质(SN)，优先涉及运动。然而，由于啮齿动物中脑的解剖和功能在重要方面与灵长类中脑不同，这种区别对人类神经科学的实用性受到了质疑。我们询问，人类多巴胺能中脑内网络的功能定义是否会概括这一传统的解剖学拓扑结构。我们首先开发了一种在常规MRI分辨率下可靠地确定人类SN和VTA的方法。使用单独定位的解剖标志和信号强度，为50名参与者构建了手绘VTA和SN感兴趣区(ROI)。个体分割被用于基于种子的静息状态功能MRI数据的功能连通性分析；这一分析结果概括了VTA与SN的传统解剖目标。接下来，我们构建了一个关于VTA、SN和多巴胺能中脑区域(SN+VTA)的概率图谱，这些区域来自个体手绘ROI。然后，在两个独立的静息状态数据集中(n=69和n=79)，使用组合概率(VTA+SN)ROI进行基于连通性的双回归分析。基于连通性的双回归功能分割的结果概括了解剖分割的结果，验证了该概率图谱对未来研究的实用性。
Dopaminergic networks modulate neural processing across a spectrum of function from perception to learning to action. Multiple organizational schemes based on anatomy and function have been proposed for dopaminergic nuclei in the midbrain. One schema originating in rodent models delineated ventral tegmental area (VTA), implicated in complex behaviors like addiction, from more lateral substantia nigra (SN), preferentially implicated in movement. However, because anatomy and function in rodent midbrain differs from the primate midbrain in important ways, the utility of this distinction for human neuroscience has been questioned. We asked whether functional definition of networks within the human dopaminergic midbrain would recapitulate this traditional anatomical topology. We first developed a method for reliably defining SN and VTA in humans at conventional MRI resolution. Hand-drawn VTA and SN regions-of-interest (ROIs) were constructed for 50 participants, using individually-localized anatomical landmarks and signal intensity. Individual segmentation was used in seed-based functional connectivity analysis of resting-state functional MRI data; results of this analysis recapitulated traditional anatomical targets of the VTA versus SN. Next, we constructed a probabilistic atlas of the VTA, SN, and the dopaminergic midbrain region comprised (SN plus VTA) from individual hand-drawn ROIs. The combined probabilistic (VTA plus SN) ROI was then used for connectivity-based dual-regression analysis in two independent resting-state datasets (n=69 and n=79). Results of the connectivity-based, dual-regression functional segmentation recapitulated results of the anatomical segmentation, validating the utility of this probabilistic atlas for future research.
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影响因子：
5.7
作者：
Jenkinson, M;Bannister, P;Smith, S
通讯作者：
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影响因子：
2.7
作者：
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通讯作者：
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DOI：
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发表时间：
2011-07-13
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
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通讯作者：
Adcock RA
DOI：
10.1098/rstb.2005.1634
发表时间：
2005-05-29
影响因子：
6.3
作者：
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通讯作者：
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影响因子：
2.6
作者：
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通讯作者：
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