Cargando…
A multimodal approach for determining brain networks by jointly modeling functional and structural connectivity
Recent innovations in neuroimaging technology have provided opportunities for researchers to investigate connectivity in the human brain by examining the anatomical circuitry as well as functional relationships between brain regions. Existing statistical approaches for connectivity generally examine...
Autores principales: | Xue, Wenqiong, Bowman, F. DuBois, Pileggi, Anthony V., Mayer, Andrew R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4335182/ https://www.ncbi.nlm.nih.gov/pubmed/25750621 http://dx.doi.org/10.3389/fncom.2015.00022 |
Ejemplares similares
-
A Bayesian Spatial Model to Predict Disease Status Using Imaging Data From Various Modalities
por: Xue, Wenqiong, et al.
Publicado: (2018) -
Multimodal Imaging Signatures of Parkinson's Disease
por: Bowman, F. DuBois, et al.
Publicado: (2016) -
Multimodal Brain Network Jointly Construction and Fusion for Diagnosis of Epilepsy
por: Zhu, Qi, et al.
Publicado: (2021) -
Multimodal Imaging Brain Connectivity Analysis (MIBCA) toolbox
por: Ribeiro, Andre Santos, et al.
Publicado: (2015) -
Aging brain shows joint declines in brain within-network connectivity and between-network connectivity: a large-sample study (N > 6,000)
por: Du, Yuhui, et al.
Publicado: (2023)