Manifold Learning of Dynamic Functional Connectivity Reliably Identifies Functionally Consistent Coupling Patterns in Human Brains

Most previous work on dynamic functional connectivity (dFC) has focused on analyzing temporal traits of functional connectivity (similar coupling patterns at different timepoints), dividing them into functional connectivity states and detecting their between-group differences. However, the coherent...

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Detalles Bibliográficos
Autores principales: Yang, Yuyuan, Wang, Lubin, Lei, Yu, Zhu, Yuyang, Shen, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895885/
https://www.ncbi.nlm.nih.gov/pubmed/31689958
http://dx.doi.org/10.3390/brainsci9110309

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895885/
https://www.ncbi.nlm.nih.gov/pubmed/31689958
http://dx.doi.org/10.3390/brainsci9110309

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