@inproceedings{febfc114a727433194e81f1cceb60f69,
title = "Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons",
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.",
keywords = "Cognitive Decline, Hippocampus, Lateral Ventricle, Morphometry, Ventricle Segmentation",
author = "Wen Zhang and Jie Shi and Cynthia Stonnington and Bauer, {Robert J.} and Gutman, {Boris A.} and Kewei Chen and Thompson, {Paul M.} and Reiman, {Eric M.} and Caselli, {Richard J.} and Yalin Wang",
note = "Funding Information: The research was supported in part by NIH (R21AG043760, R21AG049216, R01AG031581, P30AG19610), NSF (DMS-14134-17 and IIS-1421165), Arizona Alzheimer's Disease Consortium (ADHS-14052688) and NIH ENIGMA Center grant U54 EB020403 supported by the Big Data to Knowledge (BD2K) Centers of Excellence program Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 ; Conference date: 13-04-2016 Through 16-04-2016",
year = "2016",
month = jun,
day = "15",
doi = "10.1109/ISBI.2016.7493200",
language = "English (US)",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "14--18",
booktitle = "2016 IEEE International Symposium on Biomedical Imaging",
}