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Cited by 83Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesCerebrovascular and genetic disorders

Fiber clustering versus the parcellation-based connectome

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O'Donnell, Lauren J., Golby, Alexandra J., Westin, Carl-Fredrik·2013·NeuroImage
DOI 10.1016/j.neuroimage.2013.04.066PMC PMC3731058
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Abstract

We compare two strategies for modeling the connections of the brain's white matter: fiber clustering and the parcellation-based connectome. Both methods analyze diffusion magnetic resonance imaging fiber tractography to produce a quantitative description of the brain's connections. Fiber clustering is designed to reconstruct anatomically-defined white matter tracts, while the parcellation-based white matter segmentation enables the study of the brain as a network. From the perspective of white matter segmentation, we compare and contrast the goals and methods of the parcellation-based and clustering approaches, with special focus on reviewing the field of fiber clustering. We also propose a third category of new hybrid methods that combine the aspects of parcellation and clustering, for joint analysis of connection structure and anatomy or function. We conclude that these different approaches for segmentation and modeling of the white matter can advance the neuroscientific study of the brain's connectivity in complementary ways.

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Cited by

Sorted by citations

Authors
O'Donnell, L. J., Golby, A. J., & Westin, C.-F.
Affiliations
Brigham and Women's Hospital (US)
ORCID
Venue
NeuroImage
Publisher
Elsevier BV
Published
2013-10
Volume
80
Pages
283-289
ISSN
1053-8119 (ISSN-L)
DOI
10.1016/j.neuroimage.2013.04.066
PMC
PMC3731058
OpenAlex
W2016086132
Cited by
83
References
6
Citations by year
2026: 2 · 2025: 1 · 2024: 2 · 2023: 4 · 2022: 4 · 2021: 3 · 2020: 11 · 2019: 7 · 2018: 10 · 2017: 10 · 2016: 8 · 2015: 10 · 2014: 9 · 2013: 2
FWCI
7.50
Type
journal article
Language
en
Open access
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
Funders
NIH (R21 CA156943, P41 EB015902, P41 RR019703, R01 MH074794, R01 MH092862, R21 NS075728)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Neurology › Cerebrovascular and genetic disorders
Keywords
fiber clustering, white matter segmentation, fiber tractography, brain connectivity, white matter tracts, brain network modeling, hybrid segmentation, diffusion MRI
MeSH terms
Brain, Humans, Image Interpretation, Computer-Assisted, Models, Anatomic, Models, Neurological, Nerve Fibers, Myelinated, Nerve Net, Diffusion Tensor Imaging, Connectome

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