Regionally selective atrophy of subcortical structures in prodromal HD as revealed by statistical shape analysis

Laurent Younes, J. Tilak Ratnanather, Timothy Brown, Elizabeth Aylward, Peg Nopoulos, Hans Johnson, Vincent A. Magnotta, Jane S. Paulsen, Russell L. Margolis, Roger L. Albin, Michael I. Miller, Christopher A. Ross, PREDICT-D Investigators and Coordinators of the Huntington Study Group

Research output: Contribution to journalArticleResearchpeer-review

41 Citations (Scopus)

Abstract

Huntington disease (HD) is a neurodegenerative disorder that involves preferential atrophy in the striatal complex and related subcortical nuclei. In this article, which is based on a dataset extracted from the PREDICT-HD study, we use statistical shape analysis with deformation markers obtained through "Large Deformation Diffeomorphic Metric Mapping" of cortical surfaces to highlight specific atrophy patterns in the caudate, putamen, and globus pallidus, at different prodromal stages of the disease. On the basis of the relation to cortico-basal ganglia circuitry, we propose that statistical shape analysis, along with other structural and functional imaging studies, may help expand our understanding of the brain circuitry affected and other aspects of the neurobiology of HD, and also guide the most effective strategies for intervention.

Original languageEnglish
Pages (from-to)792-809
Number of pages18
JournalHuman Brain Mapping
Volume35
Issue number3
DOIs
Publication statusPublished - Mar 2014
Externally publishedYes

Keywords

  • Diffeomorphic mapping
  • Pallidus atrophy
  • Striatal atrophy
  • Surface registration
  • Surface-based morphometry

Cite this

Younes, L., Ratnanather, J. T., Brown, T., Aylward, E., Nopoulos, P., Johnson, H., Magnotta, V. A., Paulsen, J. S., Margolis, R. L., Albin, R. L., Miller, M. I., Ross, C. A., & PREDICT-D Investigators and Coordinators of the Huntington Study Group (2014). Regionally selective atrophy of subcortical structures in prodromal HD as revealed by statistical shape analysis. Human Brain Mapping, 35(3), 792-809. https://doi.org/10.1002/hbm.22214