An integrated resource for functional and structural connectivity of the marmoset brain

Autores
Tian, Xiaoguang; Chen, Yuyan; Majka, Piotr; Szczupak, Diego; Sanz Perl Hernandez, Yonatan; Yen, Cecil Chern Chyi; Tong, Chuanjun; Feng, Furui; Jiang, Haiteng; Glen, Daniel; Deco, Gustavo; Rosa, Marcello G. P.; Silva, Afonso C.; Liang, Zhifeng; Liu, Cirong
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Tian, Xiaoguang. Univeristy of Pittsburgh. School of Medicine; Estados Unidos
Fil: Chen, Yuyan. Chinese Academy of Sciences; República de China
Fil: Majka, Piotr. Monash University; Australia
Fil: Szczupak, Diego. Univeristy of Pittsburgh. School of Medicine; Estados Unidos
Fil: Sanz Perl Hernandez, Yonatan. Universidad de San Andrés; Argentina. Universitat Pompeu Fabra; España. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Yen, Cecil Chern Chyi. No especifíca;
Fil: Tong, Chuanjun. Chinese Academy of Sciences; República de China
Fil: Feng, Furui. Chinese Academy of Sciences; República de China
Fil: Jiang, Haiteng. Zhejiang University School Of Medicine; China
Fil: Glen, Daniel. No especifíca;
Fil: Deco, Gustavo. Universitat Pompeu Fabra; España. Monash University; Australia
Fil: Rosa, Marcello G. P.. Monash University; Australia
Fil: Silva, Afonso C.. Univeristy of Pittsburgh. School of Medicine; Estados Unidos
Fil: Liang, Zhifeng. Chinese Academy of Sciences; República de China
Fil: Liu, Cirong. Chinese Academy of Sciences; República de China
Materia
Neuroimaging
Marmoset
Functional Connectivity
Structural Connectivity
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/206394
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/206394
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling An integrated resource for functional and structural connectivity of the marmoset brainTian, XiaoguangChen, YuyanMajka, PiotrSzczupak, DiegoSanz Perl Hernandez, YonatanYen, Cecil Chern ChyiTong, ChuanjunFeng, FuruiJiang, HaitengGlen, DanielDeco, GustavoRosa, Marcello G. P.Silva, Afonso C.Liang, ZhifengLiu, CirongNeuroimagingMarmosetFunctional ConnectivityStructural Connectivityhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Comprehensive 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.Fil: Tian, Xiaoguang. Univeristy of Pittsburgh. School of Medicine; Estados UnidosFil: Chen, Yuyan. Chinese Academy of Sciences; República de ChinaFil: Majka, Piotr. Monash University; AustraliaFil: Szczupak, Diego. Univeristy of Pittsburgh. School of Medicine; Estados UnidosFil: Sanz Perl Hernandez, Yonatan. Universidad de San Andrés; Argentina. Universitat Pompeu Fabra; España. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Yen, Cecil Chern Chyi. No especifíca;Fil: Tong, Chuanjun. Chinese Academy of Sciences; República de ChinaFil: Feng, Furui. Chinese Academy of Sciences; República de ChinaFil: Jiang, Haiteng. Zhejiang University School Of Medicine; ChinaFil: Glen, Daniel. No especifíca;Fil: Deco, Gustavo. Universitat Pompeu Fabra; España. Monash University; AustraliaFil: Rosa, Marcello G. P.. Monash University; AustraliaFil: Silva, Afonso C.. Univeristy of Pittsburgh. School of Medicine; Estados UnidosFil: Liang, Zhifeng. Chinese Academy of Sciences; República de ChinaFil: Liu, Cirong. Chinese Academy of Sciences; República de ChinaNature2022-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/206394Tian, 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; 1-172041-1723CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1038/s41467-022-35197-2info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:13:19Zoai:ri.conicet.gov.ar:11336/206394instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:13:20.207CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An integrated resource for functional and structural connectivity of the marmoset brain
title An integrated resource for functional and structural connectivity of the marmoset brain
spellingShingle An integrated resource for functional and structural connectivity of the marmoset brain
Tian, Xiaoguang
Neuroimaging
Marmoset
Functional Connectivity
Structural Connectivity
title_short An integrated resource for functional and structural connectivity of the marmoset brain
title_full An integrated resource for functional and structural connectivity of the marmoset brain
title_fullStr An integrated resource for functional and structural connectivity of the marmoset brain
title_full_unstemmed An integrated resource for functional and structural connectivity of the marmoset brain
title_sort An integrated resource for functional and structural connectivity of the marmoset brain
dc.creator.none.fl_str_mv Tian, Xiaoguang
Chen, Yuyan
Majka, Piotr
Szczupak, Diego
Sanz Perl Hernandez, Yonatan
Yen, Cecil Chern Chyi
Tong, Chuanjun
Feng, Furui
Jiang, Haiteng
Glen, Daniel
Deco, Gustavo
Rosa, Marcello G. P.
Silva, Afonso C.
Liang, Zhifeng
Liu, Cirong
author Tian, Xiaoguang
author_facet Tian, Xiaoguang
Chen, Yuyan
Majka, Piotr
Szczupak, Diego
Sanz Perl Hernandez, Yonatan
Yen, Cecil Chern Chyi
Tong, Chuanjun
Feng, Furui
Jiang, Haiteng
Glen, Daniel
Deco, Gustavo
Rosa, Marcello G. P.
Silva, Afonso C.
Liang, Zhifeng
Liu, Cirong
author_role author
author2 Chen, Yuyan
Majka, Piotr
Szczupak, Diego
Sanz Perl Hernandez, Yonatan
Yen, Cecil Chern Chyi
Tong, Chuanjun
Feng, Furui
Jiang, Haiteng
Glen, Daniel
Deco, Gustavo
Rosa, Marcello G. P.
Silva, Afonso C.
Liang, Zhifeng
Liu, Cirong
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Neuroimaging
Marmoset
Functional Connectivity
Structural Connectivity
topic Neuroimaging
Marmoset
Functional Connectivity
Structural Connectivity
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv 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.
Fil: Tian, Xiaoguang. Univeristy of Pittsburgh. School of Medicine; Estados Unidos
Fil: Chen, Yuyan. Chinese Academy of Sciences; República de China
Fil: Majka, Piotr. Monash University; Australia
Fil: Szczupak, Diego. Univeristy of Pittsburgh. School of Medicine; Estados Unidos
Fil: Sanz Perl Hernandez, Yonatan. Universidad de San Andrés; Argentina. Universitat Pompeu Fabra; España. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Yen, Cecil Chern Chyi. No especifíca;
Fil: Tong, Chuanjun. Chinese Academy of Sciences; República de China
Fil: Feng, Furui. Chinese Academy of Sciences; República de China
Fil: Jiang, Haiteng. Zhejiang University School Of Medicine; China
Fil: Glen, Daniel. No especifíca;
Fil: Deco, Gustavo. Universitat Pompeu Fabra; España. Monash University; Australia
Fil: Rosa, Marcello G. P.. Monash University; Australia
Fil: Silva, Afonso C.. Univeristy of Pittsburgh. School of Medicine; Estados Unidos
Fil: Liang, Zhifeng. Chinese Academy of Sciences; República de China
Fil: Liu, Cirong. Chinese Academy of Sciences; República de China
description 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.
publishDate 2022
dc.date.none.fl_str_mv 2022-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/206394
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
2041-1723
CONICET Digital
CONICET
url http://hdl.handle.net/11336/206394
identifier_str_mv 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
2041-1723
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1038/s41467-022-35197-2
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature
publisher.none.fl_str_mv Nature
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842980703404294144
score 12.993085

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