Dynamic functional network connectivity based on spatial source phase maps of complex-valued fMRI data: Application to schizophrenia-Reference-Cited by-同舟云学术

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Dynamic functional network connectivity based on spatial source phase maps of complex-valued fMRI data: Application to schizophrenia

Published:2024-03 Issue: Volume:403 Page:110049
ISSN:0165-0270
Container-title:Journal of Neuroscience Methods
language:en
Short-container-title:Journal of Neuroscience Methods

Author:

Li Wei-Xing,Lin Qiu-Hua,Zhao Bin-Hua,Kuang Li-Dan,Zhang Chao-Ying,Han Yue,Calhoun Vince D.

Funder

National Institutes of Health

National Natural Science Foundation of China

Dalian University of Technology

Fundamental Research Funds for the Central Universities

National Science Foundation

Publisher

Elsevier BV

Subject

General Neuroscience

Reference60 articles.

1. Complex ICA of brain imaging data;Adalı;IEEE Signal Process. Mag.,2007

2. Complex-valued time series modeling for improved activation detection in fMRI studies;Adrian;Ann. Appl. Stat.,2018

3. Tracking whole-brain connectivity dynamics in the resting state;Allen;Cereb. Cortex,2014

4. Joint blind source separation with multivariate Gaussian model: algorithms and performance analysis;Anderson;IEEE Trans. Signal Process.,2012

5. Clustering with the average silhouette width;Batool;Comput. Stat. Data Anal.,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimation of complete mutual information exploiting nonlinear magnitude-phase dependence: Application to spatial FNC for complex-valued fMRI data;Journal of Neuroscience Methods;2024-09

2. A new transfer entropy method for measuring directed connectivity from complex-valued fMRI data;Frontiers in Neuroscience;2024-07-10

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