Mostrar el registro sencillo del ítem

dc.contributor.author
Tian, Xiaoguang  
dc.contributor.author
Chen, Yuyan  
dc.contributor.author
Majka, Piotr  
dc.contributor.author
Szczupak, Diego  
dc.contributor.author
Sanz Perl Hernandez, Yonatan  
dc.contributor.author
Yen, Cecil Chern Chyi  
dc.contributor.author
Tong, Chuanjun  
dc.contributor.author
Feng, Furui  
dc.contributor.author
Jiang, Haiteng  
dc.contributor.author
Glen, Daniel  
dc.contributor.author
Deco, Gustavo  
dc.contributor.author
Rosa, Marcello G. P.  
dc.contributor.author
Silva, Afonso C.  
dc.contributor.author
Liang, Zhifeng  
dc.contributor.author
Liu, Cirong  
dc.date.available
2023-08-01T17:40:04Z  
dc.date.issued
2022-12  
dc.identifier.citation
Tian, Xiaoguang; Chen, Yuyan; Majka, Piotr; Szczupak, Diego; Sanz Perl Hernandez, Yonatan; et al.; An integrated resource for functional and structural connectivity of the marmoset brain; Nature; Nature Communications; 13; 1; 12-2022; 1-17  
dc.identifier.issn
2041-1723  
dc.identifier.uri
http://hdl.handle.net/11336/206394  
dc.description.abstract
Comprehensive integration of structural and functional connectivity data is required to model brain functions accurately. While resources for studying the structural connectivity of non-human primate brains already exist, their integration with functional connectivity data has remained unavailable. Here we present a comprehensive resource that integrates the most extensive awake marmoset resting-state fMRI data available to date (39 marmoset monkeys, 710 runs, 12117 mins) with previously published cellular-level neuronal tracing data (52 marmoset monkeys, 143 injections) and multi-resolution diffusion MRI datasets. The combination of these data allowed us to (1) map the fine-detailed functional brain networks and cortical parcellations, (2) develop a deep-learning-based parcellation generator that preserves the topographical organization of functional connectivity and reflects individual variabilities, and (3) investigate the structural basis underlying functional connectivity by computational modeling. This resource will enable modeling structure-function relationships and facilitate future comparative and translational studies of primate brains.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Nature  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
Neuroimaging  
dc.subject
Marmoset  
dc.subject
Functional Connectivity  
dc.subject
Structural Connectivity  
dc.subject.classification
Neurociencias  
dc.subject.classification
Medicina Básica  
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD  
dc.title
An integrated resource for functional and structural connectivity of the marmoset brain  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-07-27T14:26:27Z  
dc.journal.volume
13  
dc.journal.number
1  
dc.journal.pagination
1-17  
dc.journal.pais
Reino Unido  
dc.description.fil
Fil: Tian, Xiaoguang. Univeristy of Pittsburgh. School of Medicine; Estados Unidos  
dc.description.fil
Fil: Chen, Yuyan. Chinese Academy of Sciences; República de China  
dc.description.fil
Fil: Majka, Piotr. Monash University; Australia  
dc.description.fil
Fil: Szczupak, Diego. Univeristy of Pittsburgh. School of Medicine; Estados Unidos  
dc.description.fil
Fil: Sanz Perl Hernandez, Yonatan. Universidad de San Andrés; Argentina. Universitat Pompeu Fabra; España. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Yen, Cecil Chern Chyi. No especifíca;  
dc.description.fil
Fil: Tong, Chuanjun. Chinese Academy of Sciences; República de China  
dc.description.fil
Fil: Feng, Furui. Chinese Academy of Sciences; República de China  
dc.description.fil
Fil: Jiang, Haiteng. Zhejiang University School Of Medicine; China  
dc.description.fil
Fil: Glen, Daniel. No especifíca;  
dc.description.fil
Fil: Deco, Gustavo. Universitat Pompeu Fabra; España. Monash University; Australia  
dc.description.fil
Fil: Rosa, Marcello G. P.. Monash University; Australia  
dc.description.fil
Fil: Silva, Afonso C.. Univeristy of Pittsburgh. School of Medicine; Estados Unidos  
dc.description.fil
Fil: Liang, Zhifeng. Chinese Academy of Sciences; República de China  
dc.description.fil
Fil: Liu, Cirong. Chinese Academy of Sciences; República de China  
dc.journal.title
Nature Communications  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1038/s41467-022-35197-2