Networks extracted from nonlinear fMRI connectivity exhibit unique spatial variation and enhanced sensitivity to differences between individuals with schizophrenia and controls

Functional magnetic resonance imaging (fMRI) studies often estimate brain intrinsic connectivity networks (ICNs) from temporal relationships between hemodynamic signals using approaches such as independent component analysis (ICA). While ICNs are thought to represent functional sources that play imp...

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Detalles Bibliográficos
Autores principales: Kinsey, Spencer, Kazimierczak, Katarzyna, Camazón, Pablo Andrés, Chen, Jiayu, Adali, Tülay, Kochunov, Peter, Adhikari, Bhim, Ford, Judith, van Erp, Theo G. M., Dhamala, Mukesh, Calhoun, Vince D., Iraji, Armin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680735/
https://www.ncbi.nlm.nih.gov/pubmed/38014169
http://dx.doi.org/10.1101/2023.11.16.566292

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680735/
https://www.ncbi.nlm.nih.gov/pubmed/38014169
http://dx.doi.org/10.1101/2023.11.16.566292

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