Accessing dynamic functional connectivity using l0-regularized sparse-smooth inverse covariance estimation from fMRI-Reference-Cited by-同舟云学术

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Accessing dynamic functional connectivity using l0-regularized sparse-smooth inverse covariance estimation from fMRI

Published:2021-07 Issue: Volume:443 Page:147-161
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Zhang Li,Fu Zening,Zhang Wenwen,Huang Gan,Liang Zhen,Li Linling,Biswal Bharat B.,Calhoun Vince D.,Zhang Zhiguo

Funder

National Natural Science Foundation of China

Shenzhen Peacock Plan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference64 articles.

1. Identification of epileptic brain states by dynamic functional connectivity analysis of simultaneous EEG-fMRI: a dictionary learning approach;Abreu;Sci. Rep.,2019

2. Information theory and an extension of the maximum likelihood principle;Akaike,1998

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

4. Fast transient networks in spontaneous human brain activity;Baker;eLife,2014

5. Emergence of scaling in random networks;Barabási;Science,1999

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1. Changes in Community Structure of Brain Dynamic Functional Connectivity States in Mild Cognitive Impairment;Neuroscience;2024-04

2. Unveiling hidden sources of dynamic functional connectome through a novel regularized blind source separation approach;Imaging Neuroscience;2024

3. Dynamic brain states in spatial neglect after stroke;Frontiers in Systems Neuroscience;2023-05-02

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