Applying surface-based morphometry to study ventricular abnormalities of cognitively unimpaired subjects prior to clinically significant memory decline.

NeuroImage. Clinical
Qunxi DongYalin Wang

Abstract

Ventricular volume (VV) is a widely used structural magnetic resonance imaging (MRI) biomarker in Alzheimer's disease (AD) research. Abnormal enlargements of VV can be detected before clinically significant memory decline. However, VV does not pinpoint the details of subregional ventricular expansions. Here we introduce a ventricular morphometry analysis system (VMAS) that generates a whole connected 3D ventricular shape model and encodes a great deal of ventricular surface deformation information that is inaccessible by VV. VMAS contains an automated segmentation approach and surface-based multivariate morphometry statistics. We applied VMAS to two independent datasets of cognitively unimpaired (CU) groups. To our knowledge, it is the first work to detect ventricular abnormalities that distinguish normal aging subjects from those who imminently progress to clinically significant memory decline. Significant bilateral ventricular morphometric differences were first shown in 38 members of the Arizona APOE cohort, which included 18 CU participants subsequently progressing to the clinically significant memory decline within 2 years after baseline visits (progressors), and 20 matched CU participants with at least 4 years of post-bas...Continue Reading

References

Jan 1, 1996·Journal of Computer Assisted Tomography·C DavatzikosR N Bryan
Jan 11, 2000·IEEE Transactions on Medical Imaging·S M PizerE L Chaney
May 5, 2004·Neurobiology of Aging·Corina PennanenHilkka Soininen
Jul 28, 2004·NeuroImage·Paul M ThompsonArthur W Toga
Mar 18, 2005·Proceedings of the National Academy of Sciences of the United States of America·Martin StynerGuido Gerig
Apr 27, 2005·NeuroImage·Moo K ChungAlan C Evans
Jan 24, 2006·NeuroImage·Paul M ThompsonJames T Becker
Jun 22, 2006·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Vincent ArsignyNicholas Ayache
Jul 15, 2006·NeuroImage·Luca FerrariniFaiza Admiraal-Behloul
Apr 7, 2007·Annals of the New York Academy of Sciences·Paul M ThompsonArthur W Toga
Jun 2, 2007·The American Journal of Psychiatry·Kewei ChenJohn Hardy
Aug 8, 2007·IEEE Transactions on Medical Imaging·Yalin WangShing-Tung Yau
Nov 23, 2007·Neurology·C R JackR C Petersen
Feb 14, 2008·IEEE Transactions on Medical Imaging·N LeporeP M Thompson
Aug 2, 2008·IEEE Transactions on Medical Imaging·Moo K ChungRichard J Davidson
May 19, 2009·Neurobiology of Aging·V A CardenasM W Weiner
Jul 1, 2007·Alzheimer's & Dementia : the Journal of the Alzheimer's Association·Ron BrookmeyerH Michael Arrighi
Jul 17, 2009·The New England Journal of Medicine·Richard J CaselliEric M Reiman
Jan 20, 2010·NeuroImage·Liana G ApostolovaUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Feb 9, 2010·NeuroImage·Xue HuaUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Feb 9, 2010·Nature Reviews. Neurology·Giovanni B FrisoniPaul M Thompson
Jun 15, 2010·NeuroImage·Rémi CuingnetUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Jul 14, 2010·Neurobiology of Aging·Yi-Yu ChouUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Jan 11, 2011·NeuroImage·John Ashburner, Karl J Friston
Mar 1, 2011·NeuroImage·Brian PatenaudeMark Jenkinson
Mar 29, 2011·NeuroImage·Yalin WangUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Jul 26, 2011·Alzheimer's & Dementia : the Journal of the Alzheimer's Association·Reisa A SperlingRachel J Schindler
Oct 8, 2011·NeuroImage·Mark JenkinsonStephen M Smith
Feb 22, 2012·Alzheimer Disease and Associated Disorders·Liana G ApostolovaPaul M Thompson

❮ Previous
Next ❯

Software Mentioned

VMAS
FSL

Related Concepts

Related Feeds

Cell Aging (Keystone)

This feed focuses on cellular aging with emphasis on the mitochondria, autophagy, and metabolic processes associated with aging and longevity. Here is the latest research on cell aging.

Alzheimer's Disease: Neuroimaging

Neuroimaging can help identify pathological hallmarks of Alzheimer's disease (AD). Here is the latest research on neuroimaging modalities, including magnetic resonance imaging and positron emission tomography, in AD.