Investigating the functional heterogeneity of the default mode network using coordinate-based meta-analytic modeling.
Investigating the functional heterogeneity of the default mode network using coordinate-based meta-analytic modeling.
复制标题
DOI：
10.1523/jneurosci.4004-09.2009
复制
发表时间：
2009-11-18
期刊：
影响因子：
--
通讯作者：
Fox PT
中科院分区：
文献类型：
--
作者：
Laird AR;Eickhoff SB;Li K;Robin DA;Glahn DC;Fox PT
默认模式网络（DMN）由一系列区域组成，这些区域在静息状态下表现出持续的、内在的活动，在一系列范式中表现出与任务相关的活动减少。然而，DMN区域也被报道为与任务相关的增加，无论是独立的还是与网络中的其他区域共同激活的。认知减法和使用低水平基线条件通常掩盖了这些区域的功能性质。使用激活似然估计（评估神经成像结果的统计显著收敛性）和BrainMap数据库分发的工具的组合，我们确定了DMN中的核心区域，并检查了它们的功能异质性。每个区域独立生成任务相关增加的元分析协同激活图，其中包括dmn内和非dmn连接。使用BrainMap中的行为域元数据评估其功能特性。综合这些结果，确定了一个DMN连接模型，该模型代表了在不同任务中与任务相关的活动增加中观察到的交互模式。该模型的子网络组件被识别出来，这些派系的行为域分析产生了离散的功能属性，表明DMN的组件是不同的专业化。确定了DMN的情感和感知派系，以及与运动加工偏好降低相关的派系。总之，我们使用先进的基于坐标的元分析技术来解释默认模式网络中的行为和连通性；未来的工作将涉及将这种分析策略应用于大脑功能的其他模式，如执行功能或感觉运动系统。
The default mode network (DMN) comprises a set of regions that exhibit ongoing, intrinsic activity in the resting state and task-related decreases in activity across a range of paradigms. However, DMN regions have also been reported as task-related increases, either independently or coactivated with other regions in the network. Cognitive subtractions and the use of low-level baseline conditions have generally masked the functional nature of these regions. Using a combination of activation likelihood estimation, which assesses statistically significant convergence of neuroimaging results, and tools distributed with the BrainMap database, we identified core regions in the DMN and examined their functional heterogeneity. Meta-analytic coactivation maps of task-related increases were independently generated for each region, which included both within-DMN and non-DMN connections. Their functional properties were assessed using behavioral domain metadata in BrainMap. These results were integrated to determine a DMN connectivity model that represents the patterns of interactions observed in task-related increases in activity across diverse tasks. Sub-network components of this model were identified, and behavioral domain analysis of these cliques yielded discrete functional properties, demonstrating that components of the DMN are differentially specialized. Affective and perceptual cliques of the DMN were identified, as well as the cliques associated with a reduced preference for motor processing. In summary, we used advanced coordinate-based meta-analysis techniques to explicate behavior and connectivity in the default mode network; future work will involve applying this analysis strategy to other modes of brain function, such as executive function or sensorimotor systems.