Objective: In this study, we investigated the influence that the pathology of Alzheimer’s disease
(AD) exerts upon the corpus callosum (CC) using a total of 325 mild cognitive impairment (MCI)
subjects, 155 AD subjects, and 185 healthy control (HC) subjects.
Method:
Regionally-specific morphological CC abnormalities, as induced by AD, were quantified using
a large deformation diffeomorphic metric curve mapping based statistical shape analysis pipeline.
We also quantified the association between the CC shape phenotype and two cognitive measures; the
Mini Mental State Examination (MMSE) and the Alzheimer’s Disease Assessment Scale-Cognitive
Behavior Section (ADAS-cog). To identify AD-relevant areas, CC was sub-divided into three subregions;
the genu, body, and splenium (gCC, bCC, and sCC).
Results:
We observed significant shape compressions in AD relative to that in HC, mainly concentrated
on the superior part of CC, across all three sub-regions. The HC-vs-MCI shape abnormalities were also
concentrated on the superior part, but mainly occurred on bCC and sCC. The significant MCI-vs-AD
shape differences, however, were only detected in part of sCC. In the shape-cognition association, significant
negative correlations to ADAS-cog were detected for shape deformations at regions belonging
to gCC and sCC and significant positive correlations to MMSE at regions mainly belonging to sCC.
Conclusion:
Our results suggest that the callosal shape deformation patterns, especially those of sCC,
linked tightly to the cognitive decline in AD, and are potentially a powerful biomarker for monitoring
the progression of AD.
Detecting the Shape Differences of the Corpus Callosum in Behçet's Disease by Statistical Shape Analysis
