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Multivariate and univariate neuroimaging biomarkers of Alzheimer's disease

Christian Habeck, Norman L. Foster, Robert Perneczky, Alexander Kurz, Panagiotis Alexopoulos, Robert A. Koeppe, Alexander Drzezga, Yaakov Stern
2008 NeuroImage  
We performed univariate and multivariate discriminant analysis of FDG-PET scans to evaluate their ability to identify Alzheimer's disease (AD).  ...  Multivariate measures of AD utilize the covariance structure of imaging data and provide complementary, clinically relevant information that may be superior to univariate measures.  ...  Lieberman for reviewing the neuropathology, and David E. Kuhl, Sid Gilman, Gus Buchtel, David Knesper, R. Scott Turner, and Kirk Frey for making images from their research available for this study.  ... 
doi:10.1016/j.neuroimage.2008.01.056 pmid:18343688 pmcid:PMC2441445 fatcat:c6kv2g4vwnaqddyniqkjlhyt24

Subfoveal choroidal thickness and choroidal vascularity index on spectral‐domain optical coherence tomography in Alzheimer's disease

Cason B Robbins, Dilraj Grewal, James H Powers, Atalie C Thompson, Bryce W Polascik, Rupesh Agrawal, Sharon Fekrat
2020 Alzheimer's & Dementia  
biomarkers for Alzheimer's disease.  ...  The involvement of the retina and its vasculature has previously been demonstrated in Alzheimer's disease (AD).  ...  CVI may be useful as an adjunctive biomarker for the diagnosis of AD.  ... 
doi:10.1002/alz.042040 fatcat:pabe2le5pza3xk2jbeahdbexyi

Multivariate Approaches in Neuroimaging: Assessing the Connectome of Alzheimer's Disease

Juan Manuel Górriz, Eugenio Iglesias-González, Javier Ramirez
2018 Journal of Alzheimer's Disease  
diseases, such as Alzheimer's disease (AD).  ...  The aim of this mini-forum in the Journal of Alzheimer's Disease is to present the current stateof-the-art in the theory of multivariate approaches to assess the evolution of neurodegeneration in AD, and  ... 
doi:10.3233/jad-180654 pmid:30056430 fatcat:tjhran5pgndsdgklkle7erpz6y


Orit H. Lesman-Segev, Lucy Hanna, Renaud La Joie, Leonardo Iaccarino, Barry Siegel, Bruce E. Hillner, Rachel A. Whitmer, Maria C. Carrillo, Charles Apgar, Cynthia Olson, Lauren Edwards, Kiran Chaudhary (+2 others)
2019 Alzheimer's & Dementia  
Using univariate logistic regression models, we investigated the relationship between b-amyloid positivity and multiple factors from the following categories: demographics; family history of Alzheimer's  ...  IC-P-013 VASCULAR RISK FACTORS AND MULTIMODAL NEUROIMAGING BIOMARKERS: PRELIMINARY ANALYSES FROM THE MULTIETHNIC STUDY OF ATHEROSCLEROSIS (MESA) Samuel N. Lockhart, Suzanne Craft, Bonnie C.  ... 
doi:10.1016/j.jalz.2019.06.4174 fatcat:6jgfu6wlpbbzngdxb2qmkupgci

An Oblique Approach to Prediction of Conversion to Alzheimer's Disease with Multikernel Gaussian Processes [chapter]

Jonathan Young, Marc Modat, Manuel J. Cardoso, John Ashburner, Sebastien Ourselin
2016 Lecture Notes in Computer Science  
1 0 5 10 15 20 25 30 35 Healthy control MCI−s MCI−c AD Predicted BSI (%age of baseline volume per year) Predicted brain atrophy rates for all groups  ...  Biomarkers are increasingly playing a role... 5 Tuesday, 10 December 13 Alzheimer's Disease imaging and biomarkers • A number of imaging, biochemical and genetic sources of data can assist the diagnosis  ...  the automated segmentation of the hippocampus and the amygdala: Method and validation on controls and patients with Alzheimer's disease, NeuroImage, February 2007 e.g. logistic regression MCI-converter  ... 
doi:10.1007/978-3-319-45174-9_13 fatcat:gcg33yorkjdqxchdxu4hkap5ae

Changes in MRI cortical thickness and [18F]FDG PET data over 24 months in subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) Study

Arnaud Charil, Felix Carbonell, Anthonin Reilhac, Kristina Deduck, Rohit Sood, Alan Evans, Barry Bedell, Alex Zijdenbos
2011 Alzheimer's & Dementia  
The regions of green in the posterior region of the right corpus callosum and the anterior left temporal lobe are where multivariate analysis was more sensitive than either univariate analysis.  ...  Group and age were independent variables in linear models with: (1) FA maps as univariate dependent variables (DV), (2) JAC maps as univariate DVs, and (3) JAC and FA maps as multivariate joint DVs.  ...  Background: Alzheimer's disease (AD)-related changes in cortical thickness and cerebral glucose metabolism are invaluable imaging biomarkers for elucidating the natural disease progression and response  ... 
doi:10.1016/j.jalz.2011.05.583 fatcat:x2rdbp6vzzhpncnxaetrvaelx4

Comparing predictors of conversion and decline in mild cognitive impairment

S. M. Landau, D. Harvey, C. M. Madison, E. M. Reiman, N. L. Foster, P. S. Aisen, R. C. Petersen, L. M. Shaw, J. Q. Trojanowski, C. R. Jack, M. W. Weiner, W. J. Jagust
2010 Neurology  
Neurology ® 2010;75:230 -238 GLOSSARY AD ϭ Alzheimer disease; ADAS-Cog ϭ Alzheimer's Disease Assessment Scale-Cognitive Subscale; ADNI ϭ Alzheimer's Disease Neuroimaging Initiative; AVLT ϭ Auditory Verbal  ...  at baseline in patients with amnestic MCI (n ϭ 85), using data from a large multisite study (Alzheimer's Disease Neuroimaging Initiative).  ...  Landau and Dr. Harvey. STUDY FUNDING Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (NIH Grant U01 AG024904).  ... 
doi:10.1212/wnl.0b013e3181e8e8b8 pmid:20592257 pmcid:PMC2906178 fatcat:tc3wtbv53bdrpkw3hgeev3knfi

A Comprehensive Visual Rating Scale for Predicting Progression from Mild Cognitive Impairment to Dementia in Patients with Alzheimer's Pathology or Suspected Non-Alzheimer's Pathology

Sang Won Park, Seongheon Kim, Jeonghoon Park, Jae-Won Jang, SangYun Kim
2020 Dementia and Neurocognitive Disorders  
Univariate and multivariate cox regression results (p<0.001) showed the independence of initial CVRS as a predictor for the progression to dementia.  ...  The data used in this study were obtained from the Alzheimer's disease (AD) Neuroimaging Initiative study. Brain atrophy was assessed by CVRS using MRI.  ...  Table 3 . 3 HR comparison of SNAP and Alzheimer's continuum for dementia progression Univariate Multivariate HR (95% CI) HR (95% CI) 7/30 points) of the total CVRS score, includes  ... 
doi:10.12779/dnd.2020.19.4.129 pmid:33377666 pmcid:PMC7781734 fatcat:r5fphaaofrh6hojakgudhk7o5i

A multivariate predictive modeling approach reveals a novel CSF peptide signature for both Alzheimer's Disease state classification and for predicting future disease progression

Daniel A. Llano, Saurabh Bundela, Raksha A. Mudar, Viswanath Devanarayan, Kewei Chen
2017 PLoS ONE  
predict progression from mild cognitive impairment (MCI) to AD, analysis of CSF samples was done on the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset.  ...  To determine if a multi-analyte cerebrospinal fluid (CSF) peptide signature can be used to differentiate Alzheimer's Disease (AD) and normal aged controls (NL), and to determine if this signature can also  ...  by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense award number W81XWH-12-2-0012).  ... 
doi:10.1371/journal.pone.0182098 pmid:28771542 pmcid:PMC5542644 fatcat:nto6wk3275arvj2nqgdphg4uha

Multivariate Analysis and Modelling of multiple Brain endOphenotypes: Let's MAMBO!

Natalia Vilor-Tejedor, Diego Garrido-Martín, Blanca Rodriguez-Fernandez, Sander Lamballais, Roderic Guigó, Juan Domingo Gispert
2021 Computational and Structural Biotechnology Journal  
Despite the great success of univariate approaches, given the capacity of neuroimaging methods to provide a multiplicity of cerebral phenotypes, the development and application of multivariate methods  ...  We also discuss relevant aspects of multi-trait modelling in the context of neuroimaging data.  ...  Disease Neuroimaging Initiative sMRI SNPs L2R2 Du et al., (2015) Alzheimer's Disease Neuroimaging Initiative fMRI SNPs CCA Peng et al., (2016) Alzheimer's Disease Neuroimaging Initiative MRI, PET SNPs  ... 
doi:10.1016/j.csbj.2021.10.019 pmid:34765095 pmcid:PMC8567328 fatcat:qxpol6cydbfothoeeox4u3e7vq

Bayesian latent time joint mixed effect models for multicohort longitudinal data

Dan Li, Samuel Iddi, Wesley K Thompson, Michael C Donohue
2017 Statistical Methods in Medical Research  
We apply the model to detailed simulation studies and data from the Alzheimer's Disease Neuroimaging Initiative.  ...  Characterization of long-term disease dynamics, from disease-free to end-stage, is integral to understanding the course of neurodegenerative diseases such as Parkinson's and Alzheimer's; and ultimately  ...  This work was supported by Biomarkers Across Neurodegenerative Disease (BAND-14-338179) grant from the Alzheimer's Association, Michael J.  ... 
doi:10.1177/0962280217737566 pmid:29168432 fatcat:a2thrur7everhdwi5ggedui5q4

Hippocampal subfield deformation shows unique patterns associated with amyloid‐beta, TDP‐43, and PHF‐tau burden

Ashley Heywood, Julie A Schneider, David A Bennett, Konstantinos Arfanakis, Faisal Beg, Lei Wang
2020 Alzheimer's & Dementia  
Method: Using a sample of 101 older adults from two longitudinal cohort studies conducted by the Rush Alzheimer's Disease Center, we utilized hippocampal shape analysis of ante-mortem T1-weighted sMRI  ...  Alzheimer's dementia (AD) is the most common form of dementia in adults over the age of 65, however, current diagnostic tools need to be improved.  ...  Results indicate that hippocampal deformation may be used to represent a biomarker of individual post mortem disease which could allow for the early and accurate diagnosis of disease and aid in the selection  ... 
doi:10.1002/alz.039864 fatcat:kpvcyv6n2jghxcqft3lynhubni

Variation in Variables that Predict Progression from MCI to AD Dementia over Duration of Follow-up

Shanshan Li, Ozioma Okonkwo, Marilyn Albert, Mei-Cheng Wang
2013 American Journal of Alzheimer's Disease  
The studied subjects were 139 persons with MCI enrolled in the Alzheimer's Disease Neuroimaging Initiative.  ...  (MCI) to Alzheimer's disease (AD) dementia over a follow-up period.  ...  Inc., AstraZeneca AB, Novartis Pharmaceuticals Corporation, Alzheimer's Association, Eisai Global Clinical Development, Elan Corporation plc, Forest Laboratories, and the Institute for the Study of Aging  ... 
doi:10.7726/ajad.2013.1002 pmid:24524014 pmcid:PMC3919474 fatcat:ynvk35wfrzbllliogfth6svpvi

Comprehensive Visual Rating Scale on MRI: Application to prodromal Alzheimer's disease

Jae Kyung Chung, Jae-Won Jang, Alzheimer's Disease Neuroimaging Initiative
2021 Annals of Geriatric Medicine and Research  
Methods We included 189 patients with prodromal AD with available data from the Alzheimer's Disease Neuroimaging Initiative study.  ...  This study investigated the usefulness of the CVRS in predicting dementia with Alzheimer's disease (AD) in patients with prodromal AD.  ...  ACKNOWLEDGEMENTS Data used in this study were downloaded from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc. edu).  ... 
doi:10.4235/agmr.21.0010 pmid:33715339 pmcid:PMC8024168 fatcat:qpreunqrz5fe7kku3ug3ufybra

The Receiver Operational Characteristic for Binary Classification with Multiple Indices and Its Application to the Neuroimaging Study of Alzheimer's Disease

Xia Wu, Juan Li, Napatkamon Ayutyanont, Hillary Protas, William Jagust, Adam Fleisher, Eric Reiman, Li Yao, Kewei Chen
2013 IEEE/ACM Transactions on Computational Biology & Bioinformatics  
Given the availability of multiple data sources (referred to as multi-indices), such as multimodal neuroimaging data sets, cognitive tests, and clinical ratings and genomic data in Alzheimer's disease  ...  We conclude that, for the data sets we investigated, the proposed multiV-ROC approach is capable of providing a natural and practical alternative with improved classification accuracy as compared to univariate  ...  Without exception, classification is particularly challenging in developing biomarkers for studies of neurodegenerative diseases, such as Alzheimer's disease (AD).  ... 
doi:10.1109/tcbb.2012.141 pmid:23702553 pmcid:PMC4085147 fatcat:f63n6eddzrcuten7cbnyw7umsi
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