Fine-grained features characterize hippocampal and amygdaloid change pattern in Parkinson's disease and discriminate cognitive-deficit subtype.

ABSTRACT:

Aims

To extract vertex-wise features of the hippocampus and amygdala in Parkinson's disease (PD) with mild cognitive impairment (MCI) and normal cognition (NC) and further evaluate their discriminatory efficacy.

Methods

High-resolution 3D-T1 data were collected from 68 PD-MCI, 211 PD-NC, and 100 matched healthy controls (HC). Surface geometric features were captured using surface conformal representation, and surfaces were registered to a common template using fluid registration. The statistical tests were performed to detect differences between groups. The disease-discriminatory ability of features was also tested in the ensemble classifiers.

Results

The amygdala, not the hippocampus, showed significant overall differences among the groups. Compared with PD-NC, the r

SUBMITTER: Zhang L 

PROVIDER: S-EPMC10805398 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature