Literature DB >> 22516280

Visual ratings of atrophy in MCI: prediction of conversion and relationship with CSF biomarkers.

Manja Lehmann1, Esther L Koedam, Josephine Barnes, Jonathan W Bartlett, Frederik Barkhof, Mike P Wattjes, Jonathan M Schott, Philip Scheltens, Nick C Fox.   

Abstract

Medial temporal lobe atrophy (MTA) and cerebrospinal fluid (CSF) markers of Alzheimer's disease (AD) pathology may aid the early detection of AD in mild cognitive impairment (MCI). However, the relationship between structural and pathological markers is not well understood. Furthermore, while posterior atrophy (PA) is well recognized in AD, its value in predicting conversion from late-onset amnestic MCI to AD is unclear. In this study we used visual ratings of MTA and PA to assess their value in predicting conversion to AD in 394 MCI patients. The relationship of atrophy patterns with CSF Aβ1-42, tau, and p-tau(181) was further investigated in 114 controls, 192 MCI, and 99 AD patients. There was a strong association of MTA ratings with conversion to AD (p < 0.001), with a weaker association for PA ratings (p = 0.047). Specific associations between visual ratings and CSF biomarkers were found; MTA was associated with lower levels of Aβ1-42 in MCI, while PA was associated with elevated levels of tau in MCI and AD, which may reflect widespread neuronal loss including posterior regions. These findings suggest both that posterior atrophy may predict conversion to AD in late-onset MCI, and that there may be differential relationships between CSF biomarkers and regional atrophy patterns.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22516280     DOI: 10.1016/j.neurobiolaging.2012.03.010

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  18 in total

1.  Domain Transfer Learning for MCI Conversion Prediction.

Authors:  Bo Cheng; Mingxia Liu; Daoqiang Zhang; Brent C Munsell; Dinggang Shen
Journal:  IEEE Trans Biomed Eng       Date:  2015-03-02       Impact factor: 4.538

Review 2.  2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Jesse Cedarbaum; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; Johan Luthman; John C Morris; Ronald C Petersen; Andrew J Saykin; Leslie Shaw; Li Shen; Adam Schwarz; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2015-06       Impact factor: 21.566

3.  Multimodal manifold-regularized transfer learning for MCI conversion prediction.

Authors:  Bo Cheng; Mingxia Liu; Heung-Il Suk; Dinggang Shen; Daoqiang Zhang
Journal:  Brain Imaging Behav       Date:  2015-12       Impact factor: 3.978

4.  Spectral-Domain OCT Measurements in Alzheimer's Disease: A Systematic Review and Meta-analysis.

Authors:  Victor T T Chan; Zihan Sun; Shumin Tang; Li Jia Chen; Adrian Wong; Clement C Tham; Tien Y Wong; Christopher Chen; M Kamran Ikram; Heather E Whitson; Eleonora M Lad; Vincent C T Mok; Carol Y Cheung
Journal:  Ophthalmology       Date:  2018-08-13       Impact factor: 12.079

5.  Magnetic resonance imaging in Alzheimer's Disease Neuroimaging Initiative 2.

Authors:  Clifford R Jack; Josephine Barnes; Matt A Bernstein; Bret J Borowski; James Brewer; Shona Clegg; Anders M Dale; Owen Carmichael; Christopher Ching; Charles DeCarli; Rahul S Desikan; Christine Fennema-Notestine; Anders M Fjell; Evan Fletcher; Nick C Fox; Jeff Gunter; Boris A Gutman; Dominic Holland; Xue Hua; Philip Insel; Kejal Kantarci; Ron J Killiany; Gunnar Krueger; Kelvin K Leung; Scott Mackin; Pauline Maillard; Ian B Malone; Niklas Mattsson; Linda McEvoy; Marc Modat; Susanne Mueller; Rachel Nosheny; Sebastien Ourselin; Norbert Schuff; Matthew L Senjem; Alix Simonson; Paul M Thompson; Dan Rettmann; Prashanthi Vemuri; Kristine Walhovd; Yansong Zhao; Samantha Zuk; Michael Weiner
Journal:  Alzheimers Dement       Date:  2015-07       Impact factor: 21.566

Review 6.  Biomarker modelling of early molecular changes in Alzheimer's disease.

Authors:  Ross W Paterson; Jamie Toombs; Catherine F Slattery; Jonathan M Schott; Henrik Zetterberg
Journal:  Mol Diagn Ther       Date:  2014-04       Impact factor: 4.074

Review 7.  A focus on structural brain imaging in the Alzheimer's disease neuroimaging initiative.

Authors:  Meredith N Braskie; Paul M Thompson
Journal:  Biol Psychiatry       Date:  2013-11-28       Impact factor: 13.382

8.  Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease.

Authors:  Biao Jie; Mingxia Liu; Jun Liu; Daoqiang Zhang; Dinggang Shen
Journal:  IEEE Trans Biomed Eng       Date:  2016-04-13       Impact factor: 4.538

9.  Longitudinal change in CSF biomarkers in autosomal-dominant Alzheimer's disease.

Authors:  Anne M Fagan; Chengjie Xiong; Mateusz S Jasielec; Randall J Bateman; Alison M Goate; Tammie L S Benzinger; Bernardino Ghetti; Ralph N Martins; Colin L Masters; Richard Mayeux; John M Ringman; Martin N Rossor; Stephen Salloway; Peter R Schofield; Reisa A Sperling; Daniel Marcus; Nigel J Cairns; Virginia D Buckles; Jack H Ladenson; John C Morris; David M Holtzman
Journal:  Sci Transl Med       Date:  2014-03-05       Impact factor: 17.956

10.  Robust multi-label transfer feature learning for early diagnosis of Alzheimer's disease.

Authors:  Bo Cheng; Mingxia Liu; Daoqiang Zhang; Dinggang Shen
Journal:  Brain Imaging Behav       Date:  2019-02       Impact factor: 3.978

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