Spatially localized hippocampal shape analysis in late-life cognitive decline

Jing Xie, Dan Alcantara, Nina Amenta, Evan Fletcher, Oliver Martinez, Maria Persianinova, Charles DeCarli, Owen Carmichael

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


We present a method for generating data-driven, concise, and spatially localized parameterizations of hippocampal (HP) shape, and use the method to analyze HP atrophy in late-life cognitive decline. The method optimizes a set of shape basis vectors (shape components) that strike a balance between spatial locality and compact representation of population shape characteristics. The method can be used for exploratory analysis of localized shape deformations in any population of HP on which point-to-point correspondence mappings have been established via anatomical landmarking or high-dimensional warping. Experiments combine the method with an automated HP to HP mapping method to analyze tracings of 101 elderly subjects with normal cognition, mild cognitive impairment, and Alzheimer's Disease (AD) from an AD Center population. Results suggest that shape components corresponding to atrophy to the CA1 and subiculum HP fields - where early AD pathology is located - correlate strongly with robust measures of the cognitive dysfunction that is typical of early AD. Furthermore, the energy function minimized by the shape component optimization technique is shown to be smooth with few local minima, suggesting that the method may be relatively easy to apply in practice.

Original languageEnglish (US)
Pages (from-to)526-532
Number of pages7
Issue number6
StatePublished - Jun 2009


  • Alzheimer's disease (AD)
  • CA1
  • Magnetic resonance imaging
  • Shape analysis
  • Subiculum

ASJC Scopus subject areas

  • Cognitive Neuroscience


Dive into the research topics of 'Spatially localized hippocampal shape analysis in late-life cognitive decline'. Together they form a unique fingerprint.

Cite this