Journal
NATURE REVIEWS NEUROSCIENCE
Volume 19, Issue 11, Pages 672-686Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/s41583-018-0071-7
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Funding
- Deutsche Forschungsgemeinschaft (DFG) [GE 2835/1-1, EI 816/4-1]
- Helmholtz Portfolio Theme 'Supercomputing and Modelling for the Human Brain'
- European Union's Horizon 2020 Research and Innovation Programme [720270, 785907]
- Singapore Ministry Of Education Tier 2 [MOE2014-T2-2-016]
- National University of Singapore (NUS) Strategic Research [DPRT/944/09/14]
- National University of Singapore (NUS) School of Medicine Aspiration Fund [R185000271720]
- Singapore National Medical Research Council [CBRG/0088/2015]
- NUS Young Investigator Award
- Singapore National Research Foundation Fellowship
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A defining aspect of brain organization is its spatial heterogeneity, which gives rise to multiple topographies at different scales. Brain parcellation-defining distinct partitions in the brain, be they areas or networks that comprise multiple discontinuous but closely interacting regions-is thus fundamental for understanding brain organization and function. The past decade has seen an explosion of in vivo MRI-based approaches to identify and parcellate the brain on the basis of a wealth of different features, ranging from local properties of brain tissue to long-range connectivity patterns, in addition to structural and functional markers. Given the high diversity of these various approaches, assessing the convergence and divergence among these ensuing maps is a challenge. Inter-individual variability adds to this challenge but also provides new opportunities when coupled with cross-species and developmental parcellation studies.
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