Brain Topography

, Volume 30, Issue 3, pp 291–302 | Cite as

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
Original Paper

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.

Keywords

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

Notes

Acknowledgements

Data were provided by the Human Connectome Project, WU-Minn Consortium (Principal Ivestigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. This work was partially supported by a grant from CPER Nord-Pas de Calais/FEDER DATA Advanced data science and technologies 2015–2020.

Supplementary material

10548_2017_548_MOESM1_ESM.docx (6.9 mb)
Supplementary material 1 (DOCX 7040 KB)

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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.Aix Marseille Université, CNRS, CRMBMMarseilleFrance
  2. 2.AP-HM, CHU Timone, Pôle d’Imagerie, CEMEREMMarseilleFrance
  3. 3.U1171, INSERM, Université de LilleLilleFrance
  4. 4.Neurology and Movement disorders DepartmentLille University HospitalLilleFrance
  5. 5.Université de Lille, CRIStAL UMR9189, INRIA, Magnet TeamLilleFrance
  6. 6.Clinical Imaging Core FacilityINSERM U1171, Lille University HospitalLilleFrance
  7. 7.Department of Clinical NeurophysiologyLille University HospitalLilleFrance
  8. 8.Department of NeurologyNancy University HospitalNancyFrance
  9. 9.CRAN, UMR CNRS 7039, University of LorraineNancyFrance

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