Imaging human connectomes at the macroscale

Craddock, R Cameron; Jbabdi, Saad; Yan, Chao-Gan; Vogelstein, Joshua T; Castellanos, F Xavier; Di Martino, Adriana; Kelly, Clare; Heberlein, Keith; Colcombe, Stan; Milham, Michael P

doi:10.1038/nmeth.2482

Cited by 419Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Imaging human connectomes at the macroscale

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Craddock, R Cameron, Jbabdi, Saad, Yan, Chao-Gan, Vogelstein, Joshua T, Castellanos, F Xavier, Di Martino, Adriana, Kelly, Clare, Heberlein, Keith +2 more·2013·Nature Methods

DOI 10.1038/nmeth.2482PMC PMC4096321

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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.

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There is currently no consensus regarding an optimal set of criteria for defining an areal parcellation.
“There is currently no consensus regarding an optimal set of criteria for defining an areal parcellation (Craddock et al., 2013; Glasser et al., 2016a; Gordon et al., 2016)”
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Worsley (1996) · doi:10.1002/(sici)1097-0193(1996)4:1
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[21]Seunarine K Alexander D Diffusion MRI 2009 San Diego Academic Press 55 72
[31]Behrens T Jbabdi S Diffusion MRI 2009 San Diego Academic Press 333 351
[60]Varoquaux G Gramfort A Poline JB Advances in Neural Information Processing Systems 2010 Vancouver, Canada

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“There is currently no consensus regarding an optimal set of criteria for defining an areal parcellation (Craddock et al., 2013; Glasser et al., 2016a; Gordon et al., 2016), and even less known about the stability of these parcellations at younger ages.”
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Authors: Craddock, R. C., Jbabdi, S., Yan, C.-G., Vogelstein, J. T., Castellanos, F. X., Di Martino, A., Kelly, C., Heberlein, K., Colcombe, S., & Milham, M. P.
Affiliations: Child Mind Institute (US)
Nathan Kline Institute for Psychiatric Research (US)
Johns Hopkins University (US)
NYU Langone Health (US)
Siemens Healthcare (United States) (US)
Corresponding author: Colcombe, Stan
Milham, Michael P
ORCID: Craddock, R Cameron
Yan, Chao-Gan
Vogelstein, Joshua T
Castellanos, F Xavier
Kelly, Clare
Heberlein, Keith
Colcombe, Stan
Milham, Michael P
Venue: Nature Methods
Publisher: Springer Science and Business Media LLC
Published: 2013-05-30
Volume: 10
Issue: 6
Pages: 524-539
ISSN: 1548-7091 (ISSN-L)
1548-7105
DOI: 10.1038/nmeth.2482
PMC: PMC4096321
OpenAlex: W2080403608
Cited by: 419
References: 152
Citations by year: 2026: 7 · 2025: 18 · 2024: 14 · 2023: 31 · 2022: 18 · 2021: 34 · 2020: 29 · 2019: 31 · 2018: 36 · 2017: 46 · 2016: 44 · 2015: 58 · 2014: 39 · 2013: 13
FWCI: 4.36
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.springer.com/tdm (tdm)
Locations: Nature Methods (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: National Institute of Mental Health (K23MH087770, R01MH094639)
National Institute of Environmental Health Sciences (R01ES017436)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords: human connectome, structural connectivity, functional connectivity, brain architecture, magnetic resonance imaging, phenotypic association
MeSH terms: Brain, Humans, Magnetic Resonance Imaging, Phenotype, Connectome

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