Cited by 489Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsMedical Image Segmentation Techniques

The DOI matches its Crossref record; 150 of the 150 references it cites were found in a registry or an index.

Imaging-based parcellations of the human brain

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Eickhoff, Simon B., Yeo, B. T. Thomas, Genon, Sarah·2018·Nature reviews. Neuroscience

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.

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Crossref · 10.1038/s41583-018-0071-7

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Research works printed but not linked: 2

  1. Maier-Hein, K. H. et al. The challenge of mapping the human connectome based on diffusion tractography. Nat. Commun. 8, 1349 (2017).
  2. Huth, A. G., Griffiths, T. L., Theunissen, F. E. & Gallant, J. L. PrAGMATiC: a probabilistic and generative model of areas tiling the cortex. Preprint at http://arxiv.org/abs/1504.03622 (2015). · arXiv

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Metadata

Authors
Eickhoff, S. B., Yeo, B. T. T., & Genon, S.
Affiliations
  • Forschungszentrum Jülich (DE)
  • Harvard University (US)
Corresponding author
Eickhoff, Simon B.
Venue
Nature reviews. Neuroscience
Published
2018-10-09
Volume
19
Issue
11
Pages
672-686
ISSN
  • 1471-003X (ISSN-L)
  • 1471-0048
OpenAlex
W2896587207
Cited by
484
References
150
Citations by year
2026: 50 · 2025: 66 · 2024: 66 · 2023: 63 · 2022: 69 · 2021: 84 · 2020: 52 · 2019: 28 · 2018: 5
FWCI
5.66
Type
journal article
Language
en
Open access
Locations
  • Nature reviews. Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
  • National University of Singapore (submittedVersion)
  • ORBi (University of Liège) (submittedVersion, other-oa)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
Keywords
brain parcellation, brain networks, structural connectivity, functional connectivity, cytoarchitecture, interindividual variability
MeSH terms
Brain, Brain Mapping, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Neural Pathways, Reproducibility of Results

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