Deformation-based Statistical Shape Analysis of the Corpus Callosum in Mild Cognitive Impairment and Alzheimer's

Zihan Jiang1, Huilin Yang2,3, Xiaoying Tang1

  • 1Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China.

Abstract

Insights

Alzheimer's disease (AD) pathology causes significant corpus callosum (CC) shape changes, particularly in the splenium (sCC). These CC shape alterations correlate with cognitive decline and may serve as a biomarker for AD progression.

Area of Science:

  • Neuroimaging
  • Neuropathology
  • Biomarker Discovery

Background:

  • Alzheimer's disease (AD) is a neurodegenerative disorder.
  • The corpus callosum (CC) is the largest white matter tract, connecting brain hemispheres.
  • CC integrity may be affected by AD pathology.

Purpose of the Study:

  • Investigate the influence of AD pathology on the CC.
  • Quantify CC shape abnormalities in mild cognitive impairment (MCI) and AD subjects.
  • Assess the association between CC shape and cognitive function.

Main Methods:

  • Utilized large deformation diffeomorphic metric curve mapping for statistical shape analysis of the CC.
  • Analyzed data from 325 MCI, 155 AD, and 185 healthy control (HC) subjects.
  • Subdivided the CC into genu (gCC), body (bCC), and splenium (sCC) for regional analysis.

Main Results:

  • Observed significant superior CC shape compressions in AD compared to HC across all sub-regions.
  • Found shape abnormalities in MCI, concentrated on the superior bCC and sCC.
  • Detected significant shape differences between MCI and AD in parts of the sCC.
  • Correlated CC shape deformations with cognitive measures (MMSE, ADAS-cog), noting significant associations in gCC and sCC.

Conclusions:

  • Callosal shape deformation patterns, especially in the sCC, are tightly linked to cognitive decline in AD.
  • CC shape abnormalities may serve as a powerful biomarker for monitoring AD progression.