当前位置: X-MOL 学术Brain Connect. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A Wavelet-Based Approach for Estimating Time-Varying Connectivity in Resting-State Functional Magnetic Resonance Imaging
Brain Connectivity ( IF 2.4 ) Pub Date : 2022-04-19 , DOI: 10.1089/brain.2021.0015
Antonis D Savva 1 , George K Matsopoulos 1 , Georgios D Mitsis 2
Affiliation  

Introduction: The selection of an appropriate window size, window function, and functional connectivity (FC) metric in the sliding window method is not straightforward due to the absence of ground truth.

中文翻译:

一种基于小波的方法来估计静息状态功能磁共振成像中的时变连通性

简介:由于缺乏基本事实,在滑动窗口方法中选择合适的窗口大小、窗口函数和功能连接 (FC) 指标并不简单。
更新日期:2022-04-24
down
wechat
bug