Mapping the human brain’s cortical-subcortical functional network organization
By Jie Lisa Ji, M. Spronk, Kaustubh R. Kulkarni, Grega Repovs, Alan Anticevic, Michael W. Cole. bioRxiv, 2018
575 citations recorded by the source corpus.
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.
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/749741d1e96d235ee336a517dc79f9df0fdf986b
Citations in the corpus
- Towards a Universal Taxonomy of Macro-scale Functional Human Brain Networks (2019, unknown): “In the interest of focusing on the issue of network nomenclature, rather than network composition, we refer the reader to several previous works that have carefully delineated these components (Buckner et al. 2011; Choi et al. 2012; Ji et al. 2019).”