Functional parcellation using time courses of instantaneous connectivity

Functional parcellation using time courses of instantaneous connectivity
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DOI:
10.1016/j.neuroimage.2017.07.027
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发表时间:
2017-07
期刊:
影响因子:
5.7
通讯作者:
E. V. Oort;M. Mennes;T. Schröder;V. Kumar;N. I. Z. Jimenez;W. Grodd;Christian F. Doeller;C. Beckmann-C.-B
E. V. Oort;M. Mennes;T. Schröder;V. Kumar;N. I. Z. Jimenez;W. Grodd;Christian F. Doeller;C. Beckmann-C.-B
中科院分区:
医学1区
文献类型:
--
作者:
E. V. Oort;M. Mennes;T. Schröder;V. Kumar;N. I. Z. Jimenez;W. Grodd;Christian F. Doeller;C. Beckmann-C.-B

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功能性神经影像学研究已经使我们认识到大脑是一个空间分离的功能网络的集合。人们认为,这些网络中的每一个又由一组不同的子区域组成,这些子区域共同支持每个网络的功能。考虑到子区域是大脑功能结构的重要组成部分,已经提出了几种策略,旨在通过功能分组来识别大脑的功能子单元。当前的分割策略通常采用自下而上的策略,通过聚类较小的单元来创建分割。我们提出了一种新的自上而下的包裹策略,使用瞬时连接的时间过程中细分的初始区域的兴趣到子区域。我们使用分半重复性来选择最佳的子区域数量,并将我们的瞬时连接性分组(ICP)策略应用于高质量的静息态FMRI数据,并展示了对丘脑,内嗅皮层,运动皮层和包括脑干和纹状体在内的皮层下产生分组的能力。我们评估了现有的细胞结构图的细分,以表明我们的包裹策略恢复生物学上有效的细分,坚持已知的细胞结构特征。
Functional neuroimaging studies have led to understanding the brain as a collection of spatially segregated functional networks. It is thought that each of these networks is in turn composed of a set of distinct sub-regions that together support each network's function. Considering the sub-regions to be an essential part of the brain's functional architecture, several strategies have been put forward that aim at identifying the functional sub-units of the brain by means of functional parcellations. Current parcellation strategies typically employ a bottom-up strategy, creating a parcellation by clustering smaller units. We propose a novel top-down parcellation strategy, using time courses of instantaneous connectivity to subdivide an initial region of interest into sub-regions. We use split-half reproducibility to choose the optimal number of sub-regions.We apply our Instantaneous Connectivity Parcellation (ICP) strategy on high-quality resting-state FMRI data, and demonstrate the ability to generate parcellations for thalamus, entorhinal cortex, motor cortex, and subcortex including brainstem and striatum. We evaluate the subdivisions against available cytoarchitecture maps to show that our parcellation strategy recovers biologically valid subdivisions that adhere to known cytoarchitectural features.