Using Low-Dimensional Manifolds to Map Relationships Between Dynamic Brain Networks-Reference-Cited by-同舟云学术

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Using Low-Dimensional Manifolds to Map Relationships Between Dynamic Brain Networks

Published:2019-12-10 Issue: Volume:13 Page:
ISSN:1662-5161
Container-title:Frontiers in Human Neuroscience
language:
Short-container-title:Front. Hum. Neurosci.

Author:

Bahrami Mohsen,Lyday Robert G.,Casanova Ramon,Burdette Jonathan H.,Simpson Sean L.,Laurienti Paul J.

Funder

National Institute on Alcohol Abuse and Alcoholism

National Institute of Biomedical Imaging and Bioengineering

Publisher

Frontiers Media SA

Subject

Behavioral Neuroscience,Biological Psychiatry,Psychiatry and Mental health,Neurology,Neuropsychology and Physiological Psychology

Reference57 articles.

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

2. The energy landscape underpinning module dynamics in the human brain connectome;Ashourvan;Neuroimage,2017

3. A reproducible evaluation of ANTs similarity metric performance in brain image registration;Avants;Neuroimage,2011

4. A MATLAB toolbox for multivariate analysis of brain networks;Bahrami;Hum. Brain Mapp.

5. Analysis of brain subnetworks within the context of their whole-brain networks;Bahrami;Hum. Brain Mapp.

Cited by 12 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. Statistical Brain Network Analysis;Annual Review of Statistics and Its Application;2023-11-27

2. Manifold learning for fMRI time-varying functional connectivity;Frontiers in Human Neuroscience;2023-07-11

3. Manifold Learning for fMRI time-varying FC;2023-01-16

4. Uncovering shape signatures of resting‐state functional connectivity by geometric deep learning on Riemannian manifold;Human Brain Mapping;2022-05-10

5. Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques;Frontiers in Neuroinformatics;2021-12-24

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