Characterization of white matter fiber bundles with T2* relaxometry and diffusion tensor imaging

Andrea Cherubini, Patrice Péran, Gisela Elisabeth Hagberg, Ambra Erika Varsi, Giacomo Luccichenti, Carlo Caltagirone, Umberto Sabatini, Gianfranco Spalletta

Research output: Contribution to journalArticle

Abstract

In this study, diffusion tensor imaging (DTI) and T2* multiecho relaxometry were combined in 30 healthy subjects at 3T, with the aim of characterizing the spatial distribution of relaxation rates in white matter (WM). Region of interest (ROI) analysis was performed in 23 different fiber tracts automatically defined in standard space. Spearman rank analysis was performed on regional values of T2*, fractional anisotropy (FA), and radial diffusivity (RD). A strong relationship was observed between the location and direction of fiber bundles and relaxation rates, and adjacent fiber bundles with similar orientation showed very different relaxation rates. Moreover, while relaxation rates varied largely between different fiber tracts, variation of the same parameter within the same anatomical fiber bundle across individuals was remarkably limited. The rich variability of relaxation rates in WM and their complex relationship with DTI data suggested that the two techniques might be sensitive to complementary characteristics of myelin structure. This has tremendous potential to allow for a more detailed understanding of brain development and pathology, in particular in the context of age-related cognitive decline.

Original languageEnglish
Pages (from-to)1066-1072
Number of pages7
JournalMagnetic Resonance in Medicine
Volume61
Issue number5
DOIs
Publication statusPublished - May 2009

Keywords

  • DTI
  • FA
  • Iron
  • Orientation
  • Susceptibility

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Characterization of white matter fiber bundles with T2* relaxometry and diffusion tensor imaging'. Together they form a unique fingerprint.

  • Cite this