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Cited by 33Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

A tract-specific approach to assessing white matter in preterm infants

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Pecheva, Diliana, Yushkevich, Paul, Batalle, Dafnis, Hughes, Emer, Aljabar, Paul, Wurie, Julia, Hajnal, Joseph V., Edwards, A. David +3 more·2017·NeuroImage
DOI 10.1016/j.neuroimage.2017.04.057PMC PMC5607355
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Abstract

Diffusion-weighted imaging (DWI) is becoming an increasingly important tool for studying brain development. DWI analyses relying on manually-drawn regions of interest and tractography using manually-placed waypoints are considered to provide the most accurate characterisation of the underlying brain structure. However, these methods are labour-intensive and become impractical for studies with large cohorts and numerous white matter (WM) tracts. Tract-specific analysis (TSA) is an alternative WM analysis method applicable to large-scale studies that offers potential benefits. TSA produces a skeleton representation of WM tracts and projects the group's diffusion data onto the skeleton for statistical analysis. In this work we evaluate the performance of TSA in analysing preterm infant data against results obtained from native space tractography and tract-based spatial statistics. We evaluate TSA's registration accuracy of WM tracts and assess the agreement between native space data and template space data projected onto WM skeletons, in 12 tracts across 48 preterm neonates. We show that TSA registration provides better WM tract alignment than a previous protocol optimised for neonatal spatial normalisation, and that TSA projects FA values that match well with values derived from native space tractography. We apply TSA for the first time to a preterm neonatal population to study the effects of age at scan on WM tracts around term equivalent age. We demonstrate the effects of age at scan on DTI metrics in commissural, projection and association fibres. We demonstrate the potential of TSA for WM analysis and its suitability for infant studies involving multiple tracts.

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  • Studies characterize typical nonlinear trajectories (piecewise, exponential, quadratic) of diffusion metrics for major tracts across large developmental ranges.

    “Studies also characterize several typical nonlinear trajectories (piecewise, exponential and quadratic) of diffusion metrics for major tracts across large developmental ranges such as infancy to childhood (Pecheva et al., 2017; Reynolds et al., 2019; Stephens et al., 2020) or adolescence to adulthood (Chang et al., 2015; Lebel and Beaulieu, 2011).”

    From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Pecheva et al., 2017

    The Methods and Results sections examine age-related diffusion metrics in major white-matter tracts of preterm infants. But the paper uses linear regression against post-menstrual age, not piecewise, exponential, or quadratic trajectories, and does not study a range from infancy to childhood. No page numbers are available in our copy. (LLM, conf=0.86)

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Authors
Pecheva, D., Yushkevich, P., Batalle, D., Hughes, E., Aljabar, P., Wurie, J., Hajnal, J. V., Edwards, A. D., Alexander, D. C., Counsell, S. J., & Zhang, H.
Affiliations
  • King's College London (GB)
  • University of Pennsylvania (US)
  • University College London (GB)
Corresponding author
Counsell, Serena J.
ORCID
Venue
NeuroImage
Publisher
Elsevier BV
Published
2017-08
Volume
157
Pages
675-694
ISSN
1053-8119 (ISSN-L)
DOI
10.1016/j.neuroimage.2017.04.057
PMC
PMC5607355
OpenAlex
W2608502883
Cited by
33
References
75
Citations by year
2025: 1 · 2024: 2 · 2023: 4 · 2022: 6 · 2021: 4 · 2020: 4 · 2019: 4 · 2018: 8
FWCI
3.36
Type
journal article
Language
en
Open access
Licence
Locations
  • NeuroImage (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Research Portal (King's College London) (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • UCL Discovery (University College London) (submittedVersion)
Funders
  • Medical Research Council (MR/K006355/1, MR/L011530/1)
  • Biotechnology and Biological Sciences Research Council (BB/J014567/1)
  • National Institute for Health Research (RP-PG-0707-10154)
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 › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
white matter tracts, preterm infants, diffusion-weighted imaging, diffusion tensor imaging, tractography, tract-based spatial statistics, neonatal brain development, fractional anisotropy, commissural fibers
MeSH terms
Female, Gestational Age, Humans, Infant, Newborn, Infant, Premature, Male, Diffusion Magnetic Resonance Imaging, White Matter

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