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Imaging-based parcellations of the human brain
Open accessAbstract
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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“This ensured that the regions were representative of the general population, minimizing inter-subject variability without completely removing it.”
From Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (2021) · cites this paper as Eickhoff et al., 2018
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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
- green
- orbi.uliege.be
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- 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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