Imaging-based parcellations of the human brain. Issue 11 (November 2018)

• Record Type: Journal Article
• Authors: Eickhoff, Simon; Yeo, B.; Genon, Sarah
• Is Part Of: Nature reviews. Volume 19:Issue 11(2018)
• Page Start: 672
• Page End: 686
• Publication Date: 2018-11
• Subjects: Neurosciences -- Periodicals; 573.8
• DOI: 10.1038/s41583-018-0071-7
• Languages: English
• ISSNs: 1471-003X

Abstract

Abstract 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. The brain can be parcellated into areas or networks with different structural or functional properties. Eickhoff, Yeo and Genon describe various imaging-based strategies to parcellate the human brain, including those based on local properties, such as cytoarchitecture, and global properties, such as connectivity.