Comparison between gradients and parcellations for functional connectivity prediction of behavior

Resting-state functional connectivity (RSFC) is widely used to predict behavioral measures. To predict behavioral measures, representing RSFC with parcellations and gradients are the two most popular approaches. Here, we compare parcellation and gradient approaches for RSFC-based prediction of a bro...

Descripción completa

Detalles Bibliográficos
Autores principales: Kong, Ru, Tan, Yan Rui, Wulan, Naren, Ooi, Leon Qi Rong, Farahibozorg, Seyedeh-Rezvan, Harrison, Samuel, Bijsterbosch, Janine D., Bernhardt, Boris C., Eickhoff, Simon, Yeo, B.T. Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192836/
https://www.ncbi.nlm.nih.gov/pubmed/36940760
http://dx.doi.org/10.1016/j.neuroimage.2023.120044

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192836/
https://www.ncbi.nlm.nih.gov/pubmed/36940760
http://dx.doi.org/10.1016/j.neuroimage.2023.120044

Ejemplares similares