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Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based

Jie Shi1, Cynthia M Stonnington2, Paul M Thompson3

  • 1School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.

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A new MRI analysis method reveals subtle ventricular changes in mild cognitive impairment (MCI) patients likely to progress to dementia. This technique offers a more sensitive way to study early Alzheimer's disease (AD) changes.

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Alzheimer's diseaseHyperbolic Ricci flowMild cognitive impairmentTensor-based morphometry

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Area of Science:

  • Neuroimaging
  • Alzheimer's Disease Research
  • Cognitive Neurology

Background:

  • Mild Cognitive Impairment (MCI) is a critical early stage preceding dementia.
  • Identifying MCI progression risk is vital for early intervention in Alzheimer's Disease (AD).
  • Traditional ventricular morphometry in MRI is complex due to topological challenges.

Purpose of the Study:

  • To develop and validate a novel ventricular morphometry system for enhanced analysis of MCI.
  • To investigate subtle structural changes in MCI patients using advanced MRI techniques.
  • To assess the potential of this new method for early AD detection and monitoring.

Main Methods:

  • Utilized a novel ventricular morphometry system employing hyperbolic Ricci flow and tensor-based morphometry (TBM).
  • Developed a unique hyperbolic conformal parameterization for angle-preserving, singularity-free ventricular surface mapping.
  • Applied the system to baseline MRI scans from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort (MCI converters and stable MCI).

Main Results:

  • While overall ventricular area and volume showed no differences, fine-grained surface analysis revealed significant changes.
  • Specific ventricular regions near the temporal lobe and posterior cingulate exhibited significant differences.
  • Correlations were found between ventricular morphometry, cognitive test results, and FDG-PET imaging indices.

Conclusions:

  • The novel ventricular morphometry method provides a more sensitive approach to studying early-stage AD.
  • Detects subtle structural changes in MCI patients at risk for dementia progression.
  • Offers a promising tool for research into preclinical and early symptomatic Alzheimer's disease.