Clusterwise Independent Component Analysis (C-ICA): Using fMRI resting state networks to cluster subjects and find neurofunctional subtypes-Reference-Cited by-同舟云学术

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Clusterwise Independent Component Analysis (C-ICA): Using fMRI resting state networks to cluster subjects and find neurofunctional subtypes

Published:2022-12 Issue: Volume:382 Page:109718
ISSN:0165-0270
Container-title:Journal of Neuroscience Methods
language:en
Short-container-title:Journal of Neuroscience Methods

Author:

Durieux Jeffrey^ORCID,Rombouts Serge A.R.B.,de Vos Frank,Koini Marisa,Wilderjans Tom F.

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Elsevier BV

Subject

General Neuroscience

Reference100 articles.

1. Diagnostic and Statistical Manual of Mental Disorders : DSM-5;American Psychiatric Association,2013

2. Advances in cluster analysis relevant to marketing research;Arabie,1996

3. Statistical Analysis of FMRI Data;Ashby,2011

4. Investigations into resting-state connectivity using independent component analysis;Beckmann;Philos. Trans. R. Soc. B,2005

5. Group comparison of resting-state FMRI data using multi-subject ICA and dual regression;Beckmann;NeuroImage,2009

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. Modeling the Visual Landscape: A Review on Approaches, Methods and Techniques;Sensors;2023-09-28

2. A Novel Method for Multi-subject fMRI Data Analysis: Independent Component Analysis with Clustering Embedded (ICA-CE);2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

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