five

Functional Brain Networks of Picture Naming in Broca's Aphasia and Healthy Controls

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://zenodo.org/record/3831116
下载链接
链接失效反馈
官方服务:
资源简介:
The data were from the picture-naming task with MEG scanning.  Brain networks of ".net" format:  Each network has 776 regions that were derived by subdividing USCBrain Atlas. Phase-locking values (PLV) were calculated between the 776 regions in a gamma-band of 30-45Hz.  PLVs were normalized (z-PLVs) by using the mean and standard deviation of the 200-ms pre-stimulus baseline. The edges were weighted by z-PLVs.  Vector files of ".vec" format:  Each file contains activations, viz., amplitude, of regions. There are two types of amplitude. One is the estimated electric density in a physical unit of picoampere. Another is the z-score of amplitude calculated through comparison with a baseline of –200 ms. We provided both the group-averaged files (named as b999 for the Broca group and c999 for the control group) and the individuals' files (b1 to b5 for the Broca's aphasia and c1 to c5 for the control persons). We also provided two ".clu" files. One is the partition file of eight functional modules in two hemispheres. Another is the partition file of two hemispheres.  The .net, .vec., and .clu files can be imported to Pajek for further interpretations and visualizations.
创建时间:
2020-05-23
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作