Imaging human connectomes at the macroscale. - ORA - Oxford University Research Archive

Abstract:: At macroscopic scales, the human connectome comprises anatomically distinct brain areas, the structural pathways connecting them and their functional interactions. Annotation of phenotypic associations with variation in the connectome and cataloging of neurophenotypes promise to transform our understanding of the human brain. In this Review, we provide a survey of magnetic resonance imaging–based measurements of functional and structural connectivity. We highlight emerging areas of development and inquiry and emphasize the importance of integrating structural and functional perspectives on brain architecture.

Publication status:: Published

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APA Style

Craddock, R., Jbabdi, S., Yan, C., Vogelstein, J., Castellanos, F., Di Martino, A., Kelly, C., Heberlein, K., Colcombe, S., & Milham, M. (2013). Imaging human connectomes at the macroscale. Nature Methods, 10(6), 524–539.

MLA Style

Craddock, R, et al. “Imaging Human Connectomes at the Macroscale.” Nature Methods, vol. 10, no. 6, 2013, pp. 524–39.

Chicago Style

Craddock, R, S Jbabdi, C Yan, et al. 2013. “Imaging Human Connectomes at the Macroscale.” Nature Methods 10 (6): 524–39.
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Publisher copy:: 10.1038/nmeth.2482

Authors

+ Craddock, R More by this author

Role:: Author

+ Jbabdi, S More by this author

Institution:: University of Oxford
Division:: MSD
Department:: Clinical Neurosciences
Role:: Author

+ Yan, C More by this author

Role:: Author

+ Vogelstein, J More by this author

Role:: Author

+ Castellanos, F More by this author

Role:: Author

More authors...

Journal:: Nature methods More from this journal
Volume:: 10
Issue:: 6
Pages:: 524-539
Publication date:: 2013-06-01
DOI:: 10.1038/nmeth.2482
EISSN:: 1548-7105
ISSN:: 1548-7091

Language:: English
Keywords:: Magnetic Resonance Imaging

Phenotype

Humans

Connectome

Brain
Pubs id:: pubs:401177
UUID:: uuid:0c9a1f9e-b5e9-4a9e-b936-062d164576ee
Local pid:: pubs:401177
Source identifiers:: 401177
Deposit date:: 2013-11-16
ARK identifier:: ark:/29072/ora_0c9a1f9eb5e94a9eb936062d164576ee

Terms of use

Copyright date:: 2013

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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