Cargando…
Parcellating Cortical Functional Networks in Individuals
The capacity to identify the unique functional architecture of an individual’s brain is a critical step towards personalized medicine and understanding the neural basis of variations in human cognition and behavior. Here, we developed a novel cortical parcellation approach to accurately map function...
Autores principales: | Wang, Danhong, Buckner, Randy L., Fox, Michael D., Holt, Daphne J., Holmes, Avram J., Stoecklein, Sophia, Langs, Georg, Pan, Ruiqi, Qian, Tianyi, Li, Kuncheng, Baker, Justin T., Stufflebeam, Steven M., Wang, Kai, Wang, Xiaomin, Hong, Bo, Liu, Hesheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4661084/ https://www.ncbi.nlm.nih.gov/pubmed/26551545 http://dx.doi.org/10.1038/nn.4164 |
Ejemplares similares
-
Performing group-level functional image analyses based on homologous functional regions mapped in individuals
por: Li, Meiling, et al.
Publicado: (2019) -
Learning Cortical Parcellations Using Graph Neural Networks
por: Eschenburg, Kristian M., et al.
Publicado: (2021) -
Altered temporal, but intact spatial, features of transient network dynamics in psychosis
por: Wang, Danhong, et al.
Publicado: (2021) -
Parcellation of the primary cerebral cortices based on local connectivity profiles
por: Li, Qiaojun, et al.
Publicado: (2015) -
Adaptive cortical parcellations for source reconstructed EEG/MEG connectomes
por: Farahibozorg, Seyedeh-Rezvan, et al.
Publicado: (2018)