MRI based biomarker for brain aging in rodents and non-human primates

Katja Frankea, Robert Dahnke, Geoffrey Clarke, Anderson Kuo, Cun Li, Peter Nathanielsz, Matthias Schwab, Christian Gaser

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

This work presents two novel species-specific adaptations of a MRI based biomarker that indicates individual deviations from normal brain aging trajectories for rodents and non-human primates. By employing automatic, speciesspecific preprocessing of anatomical brain MRI as well as highdimensional pattern recognition methods, this approach uses the distribution of healthy brain-aging patterns to estimate individual brain ages. This biomarker may probably enable tracking the effects of developmental and environmental influences, manipulations, and (preventive) treatments on individual deviations from species-specific brain aging trajectories in experimental mammal models across the life-course.

Original languageEnglish (US)
Title of host publicationPRNI 2016 - 6th International Workshop on Pattern Recognition in Neuroimaging
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467365307
DOIs
StatePublished - Aug 24 2016
Externally publishedYes
Event6th International Workshop on Pattern Recognition in Neuroimaging, PRNI 2016 - Trento, Italy
Duration: Jun 22 2016Jun 24 2016

Publication series

NamePRNI 2016 - 6th International Workshop on Pattern Recognition in Neuroimaging

Other

Other6th International Workshop on Pattern Recognition in Neuroimaging, PRNI 2016
Country/TerritoryItaly
CityTrento
Period6/22/166/24/16

Keywords

  • Aging; BrainAGE
  • DBM
  • MRI
  • VBM
  • machine learning
  • mammals
  • relevance vector regression (RVR)

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Biomedical Engineering

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