Cited by 281Medical Image Segmentation TechniquesFunctional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Evaluating the validity of volume-based and surface-based brain image registration for developmental cognitive neuroscience studies in children 4 to 11years of age

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Ghosh, Satrajit S., Kakunoori, Sita, Augustinack, Jean, Nieto-Castanon, Alfonso, Kovelman, Ioulia, Gaab, Nadine, Christodoulou, Joanna A., Triantafyllou, Christina +2 more·2010·NeuroImage

Abstract

Understanding the neurophysiology of human cognitive development relies on methods that enable accurate comparison of structural and functional neuroimaging data across brains from people of different ages. A fundamental question is whether the substantial brain growth and related changes in brain morphology that occur in early childhood permit valid comparisons of brain structure and function across ages. Here we investigated whether valid comparisons can be made in children from ages 4 to 11, and whether there are differences in the use of volume-based versus surface-based registration approaches for aligning structural landmarks across these ages. Regions corresponding to the calcarine sulcus, central sulcus, and Sylvian fissure in both the hemispheres were manually labeled on T1-weighted structural magnetic resonance images from 31 children ranging in age from 4.2 to 11.2years old. Quantitative measures of shape similarity and volumetric-overlap of these manually labeled regions were calculated when brains were aligned using a 12-parameter affine transform, SPM's nonlinear normalization, a diffeomorphic registration (ANTS), and FreeSurfer's surface-based registration. Registration error for normalization into a common reference framework across participants in this age range was lower than commonly used functional imaging resolutions. Surface-based registration provided significantly better alignment of cortical landmarks than volume-based registration. In addition, registering children's brains to a common space does not result in an age-associated bias between older and younger children, making it feasible to accurately compare structural properties and patterns of brain activation in children from ages 4 to 11.

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Crossref · 10.1016/j.neuroimage.2010.05.075

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  • Freesurfer provides significantly better alignment of cortical landmarks than volume-based algorithms in cohorts of younger participants age 4-11 years old.

    “Freesurfer has been shown to provide a significantly better alignment of cortical landmarks than volume based algorithms in cohorts of younger participants age 4–11 years old (Ghosh et al., 2010).”

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References 53 · Cited by 281

Authors
Ghosh, S. S., Kakunoori, S., Augustinack, J., Nieto-Castanon, A., Kovelman, I., Gaab, N., Christodoulou, J. A., Triantafyllou, C., Gabrieli, J. D. E., & Fischl, B.
Affiliations
  • Massachusetts Institute of Technology (US)
  • Massachusetts General Hospital (US)
  • McGovern Institute for Brain Research (US)
  • Boston Children's Hospital (US)
Corresponding author
Ghosh, Satrajit S.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2010-10
Volume
53
Issue
1
Pages
85-93
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2147632293
Cited by
281
References
53
Citations by year
2026: 18 · 2025: 20 · 2024: 9 · 2023: 14 · 2022: 21 · 2021: 25 · 2020: 22 · 2019: 24 · 2018: 18 · 2017: 28 · 2016: 16 · 2015: 22 · 2014: 21 · 2013: 12 · 2012: 8
FWCI
8.54
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
Funders
  • National Center for Research Resources (P41-RR14075)
  • National Institute for Biomedical Imaging and Bioengineering (R01EB006758, R03EB008673)
  • National Institute on Aging (AG02238)
  • National Institute for Neurological Disorders and Stroke (R01 NS052585-01)
  • National Institutes of Health (U54 EB005149)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords
brain registration, surface registration, children, cognitive development, brain growth, cortical landmarks, calcarine sulcus, central sulcus, Sylvian fissure, diffeomorphic registration, affine registration, age bias, structural MRI, developmental cognitive neuroscience
MeSH terms
Aging, Algorithms, Brain, Child, Preschool, Cognition, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Male, Neurosciences, Sensitivity and Specificity, Subtraction Technique, Reproducibility of Results, Imaging, Three-Dimensional

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