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dc.contributor.author
Tian, Xiaoguang
dc.contributor.author
Chen, Yuyan
dc.contributor.author
Majka, Piotr
dc.contributor.author
Szczupak, Diego
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Sanz Perl Hernandez, Yonatan
dc.contributor.author
Yen, Cecil Chern Chyi
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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
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Functional Connectivity
dc.subject
Structural Connectivity
dc.subject.classification
Neurociencias
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Medicina Básica
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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
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