Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI
A*STAR-NUS Clinical Imaging Research Centre · National University of Singapore · +11 more institutions
Abstract
A central goal in systems neuroscience is the parcellation of the cerebral cortex into discrete neurobiological "atoms". Resting-state functional magnetic resonance imaging (rs-fMRI) offers the possibility of in vivo human cortical parcellation. Almost all previous parcellations relied on 1 of 2 approaches. The local gradient approach detects abrupt transitions in functional connectivity patterns. These transitions potentially reflect cortical areal boundaries defined by histology or visuotopic fMRI. By contrast, the global similarity approach clusters similar functional connectivity patterns regardless of spatial proximity, resulting in parcels with homogeneous (similar) rs-fMRI signals. Here, we propose a…
Citation impact
- FWCI
- 57.04
- Percentile
- 100%
- References
- 193
Authors
8- ASAlexander Schaefer
A*STAR-NUS Clinical Imaging Research Centre, National University of Singapore
- RKRu Kong
National University of Singapore, A*STAR-NUS Clinical Imaging Research Centre
- EMEvan M. Gordon
VA Heart of Texas Health Care Network, Center for Occupational Research and Development
- TOTimothy O. Laumann
Washington University in St. Louis
- XZXi‐Nian Zuo
Institute of Psychology, Chinese Academy of Sciences, University of Chinese Academy of Sciences
Topics & keywords
- Neuroscience
- Functional connectivity
- Cerebral cortex
- Psychology
- Human brain
- Brain mapping
Funding
- MGMassachusetts General HospitalAwards: P41EB015896, 1U54MH091657
- NRNational Research Foundation
- NUNational University of SingaporeAwards: R185000271720, DPRT/944/09/14
- NRNational Research Foundation Singapore
- DADeutscher Akademischer Austauschdienst
- NNNational Natural Science Foundation of ChinaAwards: 1U54MH091657, 81220108014, 81 471 740
- MOMinistry of Education, India
- CDCentre d'Imagerie BioMédicale
- NINational Institutes of HealthAwards: P41EB015896, S10RR023401, 1U54MH091657, MH100872, S10RR023043
- MCMcDonnell Center for Systems NeuroscienceAward: 1U54MH091657
- AAAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General HospitalAwards: S10RR023401, P41EB015896
- MRMedical Research CouncilAward: 1U54MH091657
- NMNational Medical Research CouncilAward: CBRG/0088/2015
- NINational Institute of Mental HealthAwards: K01MH099232, MH100872, 2015CB351702, 1U54MH091657
- NBNIH Blueprint for Neuroscience ResearchAwards: P41EB015896, 1U54MH091657