Whole-Brain High-Resolution Structural Connectome: Inter-Subject Validation and Application to the Anatomical Segmentation of the Striatum

Pierre Besson*, Nicolas Carrière, S. Kathleen Bandt, Marc Tommasi, Xavier Leclerc, Philippe Derambure, Renaud Lopes, Louise Tyvaert

*Corresponding author for this work

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

The present study describes extraction of high-resolution structural connectome (HRSC) in 99 healthy subjects, acquired and made available by the Human Connectome Project. Single subject connectomes were then registered to the common surface space to allow assessment of inter-individual reproducibility of this novel technique using a leave-one-out approach. The anatomic relevance of the surface-based connectome was examined via a clustering algorithm, which identified anatomic subdivisions within the striatum. The connectivity of these striatal subdivisions were then mapped on the cortical and other subcortical surfaces. Findings demonstrate that HRSC analysis is robust across individuals and accurately models the actual underlying brain networks related to the striatum. This suggests that this method has the potential to model and characterize the healthy whole-brain structural network at high anatomic resolution.

Original languageEnglish (US)
Pages (from-to)291-302
Number of pages12
JournalBrain Topography
Volume30
Issue number3
DOIs
StatePublished - May 1 2017

Keywords

  • Connectome
  • Diffusion magnetic resonance imaging
  • High-resolution
  • Striatum clustering
  • Surface-based connectivity

ASJC Scopus subject areas

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology

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