Literature DB >> 27499828

MORPHOMETRIC ANALYSIS OF HIPPOCAMPUS AND LATERAL VENTRICLE REVEALS REGIONAL DIFFERENCE BETWEEN COGNITIVELY STABLE AND DECLINING PERSONS.

Wen Zhang1, Jie Shi1, Cynthia Stonnington2, Robert J Bauer3, Boris A Gutman4, Kewei Chen3, Paul M Thompson4, Eric M Reiman3, Richard J Caselli5, Yalin Wang1.   

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.

Entities:  

Keywords:  Cognitive Decline; Hippocampus; Lateral Ventricle; Morphometry; Ventricle Segmentation

Year:  2016        PMID: 27499828      PMCID: PMC4974021          DOI: 10.1109/ISBI.2016.7493200

Source DB:  PubMed          Journal:  Proc IEEE Int Symp Biomed Imaging        ISSN: 1945-7928


  23 in total

1.  Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

Authors:  Bruce Fischl; David H Salat; Evelina Busa; Marilyn Albert; Megan Dieterich; Christian Haselgrove; Andre van der Kouwe; Ron Killiany; David Kennedy; Shuna Klaveness; Albert Montillo; Nikos Makris; Bruce Rosen; Anders M Dale
Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

2.  MRI as a biomarker of disease progression in a therapeutic trial of milameline for AD.

Authors:  C R Jack; M Slomkowski; S Gracon; T M Hoover; J P Felmlee; K Stewart; Y Xu; M Shiung; P C O'Brien; R Cha; D Knopman; R C Petersen
Journal:  Neurology       Date:  2003-01-28       Impact factor: 9.910

3.  Morphometric analysis of lateral ventricles in schizophrenia and healthy controls regarding genetic and disease-specific factors.

Authors:  Martin Styner; Jeffrey A Lieberman; Robert K McClure; Daniel R Weinberger; Douglas W Jones; Guido Gerig
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-16       Impact factor: 11.205

4.  Log-Euclidean metrics for fast and simple calculus on diffusion tensors.

Authors:  Vincent Arsigny; Pierre Fillard; Xavier Pennec; Nicholas Ayache
Journal:  Magn Reson Med       Date:  2006-08       Impact factor: 4.668

5.  Tensor-based cortical surface morphometry via weighted spherical harmonic representation.

Authors:  Moo K Chung; Kim M Dalton; Richard J Davidson
Journal:  IEEE Trans Med Imaging       Date:  2008-08       Impact factor: 10.048

6.  Surface-based TBM boosts power to detect disease effects on the brain: an N=804 ADNI study.

Authors:  Yalin Wang; Yang Song; Priya Rajagopalan; Tuo An; Krystal Liu; Yi-Yu Chou; Boris Gutman; Arthur W Toga; Paul M Thompson
Journal:  Neuroimage       Date:  2011-03-23       Impact factor: 6.556

7.  Surface fluid registration of conformal representation: application to detect disease burden and genetic influence on hippocampus.

Authors:  Jie Shi; Paul M Thompson; Boris Gutman; Yalin Wang
Journal:  Neuroimage       Date:  2013-04-13       Impact factor: 6.556

8.  Multivariate tensor-based morphometry on surfaces: application to mapping ventricular abnormalities in HIV/AIDS.

Authors:  Yalin Wang; Jie Zhang; Boris Gutman; Tony F Chan; James T Becker; Howard J Aizenstein; Oscar L Lopez; Robert J Tamburo; Arthur W Toga; Paul M Thompson
Journal:  Neuroimage       Date:  2009-11-06       Impact factor: 6.556

Review 9.  FSL.

Authors:  Mark Jenkinson; Christian F Beckmann; Timothy E J Behrens; Mark W Woolrich; Stephen M Smith
Journal:  Neuroimage       Date:  2011-09-16       Impact factor: 6.556

10.  Diffeomorphic registration using geodesic shooting and Gauss-Newton optimisation.

Authors:  John Ashburner; Karl J Friston
Journal:  Neuroimage       Date:  2011-01-07       Impact factor: 6.556

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  2 in total

1.  Enhancing Diffusion MRI Measures By Integrating Grey and White Matter Morphometry With Hyperbolic Wasserstein Distance.

Authors:  Wen Zhang; Jie Shi; Jun Yu; Liang Zhan; Paul M Thompson; Yalin Wang
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2017-06-19

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

Authors:  Qunxi Dong; Wen Zhang; Cynthia M Stonnington; Jianfeng Wu; Boris A Gutman; Kewei Chen; Yi Su; Leslie C Baxter; Paul M Thompson; Eric M Reiman; Richard J Caselli; Yalin Wang
Journal:  Neuroimage Clin       Date:  2020-07-05       Impact factor: 4.881

  2 in total

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