权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

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

基于功能和连接性的人类背侧前运动皮层的多模态映射

基本信息

批准号：
241883002
负责人：
Professor Dr. Simon Eickhoff
金额：
--
依托单位：
Institut für Systemische Neurowissenschaften
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2013
资助国家：
德国
起止时间：
2012-12-31 至 2017-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/241883002?language=en
关键词：
Multi modal Mapping human dorsal

项目摘要

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.

从功能上讲，人脑的背侧前运动皮层（dPMC）与多种功能有关。特别是，它在手部和眼部运动的规划、准备和执行中发挥着核心作用。此外，dPMC 在涉及（空间）注意力、抑制过程和工作记忆范式的任务中也始终被激活。这就提出了一个问题：这些不同的职能在 dPMC 区域内是如何组织的。虽然已经有人提出 dPMC 可能包含马赛克状的内部分化，但人们对更广泛的 dPMC 区域内特定区域的位置、功能和连接性知之甚少。我们将在拟议的项目中通过使用元分析功能映射和基于连接的分区的创新技术来描述该区域的组织来解决这个问题。 dPMC 的功能分化是通过对与该特定区域相关的认知和运动功能的功能成像研究进行一系列定量荟萃分析来研究的。总之，这些应该允许对 dPMC 及其内部分化进行全面的（考虑到评估功能的多样性）和可靠的（考虑到许多单独实验的荟萃分析汇总）功能表征。近年来，基于连接的分区（CBP）方法变得越来越重要，并成为一系列非常有前途的工具。然而，它们尚未以全面的多模式方式使用，测试基于大脑连接各个方面的分析的效果。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态图来执行这种多模态方法来分析解剖和功能连接以及区域（共同）激活配置文件的局部变化。基于功能和连接的分割的概要应该提供 dPMC 的全面表征，这将为未来的生理和临床成像研究提供重要参考。