Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons
Year: 2016
Type: conference-paper
Study design: Observational Study
Abstract: Alzheimers disease (AD) is a progressive neurodegenerative disease most prevalent in the elderly. Distinguishing disease-related memory decline from normal age-related memory decline has been clinically difficult due to the subtlety of cognitive change during the preclinical stage of AD. In contrast, sensitive biomarkers derived from in vivo neuroimaging data could improve the early identification of AD. In this study, we employed a morphometric analysis in the hippocampus and lateral ventricle. A novel group-wise template-based segmentation algorithm was developed for ventricular segmentation. Further, surface multivariate tensor-based morphometry and radial distance on each surface point were computed. Using Hotellings T2 test, we found significant morphometric differences in both hippocampus and lateral ventricle between stable and clinically declining subjects. The left hemisphere was more severely affected than the right during this early disease stage. Hippocampal and ventricular morphometry has significant potential as an imaging biomarker for onset prediction and early diagnosis of AD.
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: MRI Biomarker Discovery for Preclinical Alzheimers Disease with Geometry Methods, Empowering Diffusion MRI Measures by Integrating White and Grey Matter Morphology, Brain Imaging, APOE & the Preclinical Course of Alzheimer's Disease, ENIGMA Center for Worldwide Medicine, Imaging & Genomics, Arizona Alzheimer's Disease Core Center
OpenAlex ID: W2433105628
