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Cited by 585

The DOI matches its Crossref record; 103 of the 103 references it cites were found in a registry or an index.

Mapping the human brain's cortical-subcortical functional network organization

Open access
Ji, Jie Lisa, Spronk, Marjolein, Kulkarni, Kaustubh, Repovš, Grega, Anticevic, Alan, Cole, Michael W.·2019·NeuroImage

Abstract

Large-scale functional network map of the entire human brain Cortical networks based on multiband fMRI, recently-identified regions Subcortical extension of networks covering all subcortical structures Multiple quality assessments demonstrate robustness of functional networks Network atlas released as public resource, providing framework for future studies ABSTRACT Understanding complex systems such as the human brain requires characterization of the system’s architecture across multiple levels of organization – from neurons, to local circuits, to brain regions, and ultimately large-scale brain networks. Here we focus on characterizing the human brain’s large-scale network organization, as it provides an overall framework for the organization of all other levels. We developed a highly principled approach to identify cortical network communities at the level of functional systems, calibrating our community detection algorithm using extremely well-established sensory and motor systems as guides. Building on previous network partitions, we replicated and expanded upon well-known and recently identified networks, including several higher-order cognitive networks such as a left-lateralized language network. We expanded these cortical networks to subcortex, revealing 358 highly organized subcortical parcels that take part in forming whole-brain functional networks. Notably, the identified subcortical parcels are similar in number to a recent estimate of the number of cortical parcels (360). This whole-brain network atlas – released as an open resource for the neuroscience community – places all brain structures across both cortex and subcortex into a single large-scale functional framework, with the potential to facilitate a variety of studies investigating large-scale functional networks in health and disease.

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Crossref · 10.1016/j.neuroimage.2018.10.006

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Metadata

Authors
Ji, J. L., Spronk, M., Kulkarni, K., Repovš, G., Anticevic, A., & Cole, M. W.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2019-01
Volume
185
Pages
35-57
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2951582858
Cited by
585
References
103
FWCI
16.32
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Mapping the human brain's cortical-subcortical functional network organization. https://app.cochat.ai/papers/10.1016/j.neuroimage.2018.10.006
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Ji, J. L., Spronk, M., Kulkarni, K., Repovš, G., Anticevic, A., & Cole, M. W. (2019). Mapping the human brain's cortical-subcortical functional network organization. NeuroImage. https://doi.org/10.1016/j.neuroimage.2018.10.006

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.