Multi-modal Mapping of the human dorsal premotor cortex based on function and connectivity

从功能上讲，人脑的背侧运动前皮质(DPMC)参与了一系列的功能。特别是，它在手部和眼睛运动的计划、准备和执行中发挥着核心作用。此外，在涉及(空间)注意、抑制过程和工作记忆范例的任务中，DPMC也被持续激活。这就提出了一个问题，这些不同的职能是如何在DPMC区域内组织起来的。虽然已经有人提出DPMC可能包含镶嵌状的内部分化，但对于DPMC区域内特定区域的位置、功能和连通性尚不清楚。在这里，我们将在拟议的项目中通过使用元分析功能图的创新技术和基于连接性的划分来解决这一问题，以描绘这一区域的组织。DPMC的功能分化是通过一系列定量的功能成像研究的Meta分析来研究的，这些功能成像研究一直与这一特定区域相关的认知和运动功能。总而言之，这些应该允许对DPMC及其内部差异进行全面的(考虑到评估的功能的多样性)和可靠的(考虑到许多单独实验的元分析汇集)功能特征。近年来，基于连接性的分组方法(CBP)变得越来越重要，并成为一种非常有前途的广泛工具。然而，它们还没有以全面的多模式方式使用，测试基于大脑连接的各个方面的这种分析的效果。因此，在拟议的项目中，我们将通过创建DPMC区域连接模式的多模式地图，执行这种多模式方法来分析解剖和功能连接以及区域(共同)激活配置文件中的局部差异。DPMC的功能和基于连接性的分割的概要将提供DPMC的全面特征，这将为未来的生理和临床影像研究提供重要的参考。

Functionally, the dorsal pre-motor cortex (dPMC) of the human brain has been implicated in a large range of functions. In particular, it plays a central role in the planning, preparation and execution of hand and eye movements. In addition, the dPMC is also consistently activated in tasks referring to (spatial) attention, inhibitory processes and working memory paradigms. This raises the question, how these different functions are organized within the region of the dPMC. While it has already been suggested that the dPMC may contain a mosaic-like internal differentiation, little is yet known about the location, function and connectivity of specific areas within the broader dPMC region. We here will address this question in the proposed project by using innovative techniques for meta-analytic functional mapping and connectivity-based parcellation for delineating the organization of this region. The functional differentiation of the dPMC is investigated through a series of quantitative meta-analysis of functional imaging studies on cognitive and motor functions that have been associated with this particular region... Together, these should allow a comprehensive (given the variety of assessed functions) and reliable (given the meta-analytic pooling over many individual experiments) functional characterization of the dPMC and its internal differentiation. Approaches for connectivity-based parcellation (CBP) have gained in importance in recent years and become a broad spectrum of very promising tools. They have, however, not yet been used in a comprehensive multi-modal fashion, testing the effect of basing such analysis on various aspects of brain connectivity. In the proposed project, we will thus perform such a multi-modal approach to analyze local variations in anatomical and functional connectivity as well as regional (co-) activation profiles, by creating a multi-modal map of connectivity patterns in the region of the dPMC. The synopsis of the functional and connectivity-based parcellation should provide a comprehensive characterization of the dPMC, which will serve as an important reference for future physiological and clinical imaging studies.