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

Tian, X., Chen, Y., Majka, P., Szczupak, D., Perl, Y. S., Yen, C.-C.-C., et al. (2022). An integrated resource for functional and structural connectivity of the marmoset brain. Nature Communications, 13(1): 7416. doi:10.1038/s41467-022-35197-2.

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 Urheber:
Tian, Xiaoguang1, Autor
Chen, Yuyan2, Autor
Majka, Piotr3, 4, Autor
Szczupak, Diego1, Autor
Perl, Yonatan Sanz5, 6, Autor
Yen, Cecil Chern-Chyi7, Autor
Tong, Chuanjun2, Autor
Feng, Furui2, Autor
Jiang, Haiteng8, 9, Autor
Glen, Daniel10, Autor
Deco, Gustavo5, 11, 12, 13, Autor           
Rosa, Marcello G. P.4, Autor
Silva, Afonso C.1, Autor
Liang, Zhifeng2, 14, Autor
Liu, Cirong2, 14, 15, 16, Autor
Affiliations:
1Department of Neurobiology, Brain Institute, University of Pittsburgh, PA, USA, ou_persistent22              
2CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Institute of Automation, Peking, China, ou_persistent22              
3Laboratory of Neuroinformatics, Nencki Institute of Experimental Biology, Warsaw, Poland, ou_persistent22              
4Department of Physiology, Monash Biomedicine Discovery Institute (BDI), Monash University, Melbourne, Australia, ou_persistent22              
5Computational Neuroscience Group, Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
6Universidad de San Andrés, Buenos Aires, Argentina, ou_persistent22              
7Laboratory of Functional and Molecular Imaging (LFMI), National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA, ou_persistent22              
8Department of Neurobiology, Zhejiang University School of Medicine, Hangzhou, China, ou_persistent22              
9MOE Frontier Science Center for Brain Science and Brain-machine Integration, Zhejiang University, Hangzhou, China, ou_persistent22              
10Scientific and Statistical Computing Core, National Institute of Mental Health, Bethesda, MD, USA, ou_persistent22              
11Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
12Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634551              
13School of Psychological Sciences, Monash University, Melbourne, Australia, ou_persistent22              
14Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, China, ou_persistent22              
15Lingang Laboratory, Shanghai, China, ou_persistent22              
16University of Chinese Academy of Sciences, Peking, China, ou_persistent22              

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Schlagwörter: Network models; Neural circuits
 Zusammenfassung: 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.

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Sprache(n): eng - English
 Datum: 2021-12-072022-11-212022-12-01
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1038/s41467-022-35197-2
PMID: 36456558
PMC: PMC9715556
 Art des Abschluß: -

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Projektname : -
Grant ID : PID2019-105772GB-I00 AEI FEDER EU
Förderprogramm : -
Förderorganisation : European Regional Development Fund (ERDF)
Projektname : -
Grant ID : 945539
Förderprogramm : -
Förderorganisation : Human Brain Project (HBP)
Projektname : This are just the project information about the MPI for Human Cognitive and Brain Sciences. More information available in the paper.
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Quelle 1

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Titel: Nature Communications
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Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: London : Nature Publishing Group
Seiten: - Band / Heft: 13 (1) Artikelnummer: 7416 Start- / Endseite: - Identifikator: ISSN: 2041-1723
CoNE: https://pure.mpg.de/cone/journals/resource/2041-1723