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Random forest prediction of Alzheimer’s disease using pairwise selection from time series data

volume. While the competition proceeds, forecasting methods may be compared using a leaderboard dataset selected from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) and with standard metrics for

Revealing heterogeneity of brain imaging phenotypes in Alzheimer’s disease based on unsupervised clustering of blood marker profiles

Alzheimer’s disease (AD) affects millions of people and is a major rising problem in health care worldwide. Recent research suggests that AD could have different subtypes, presenting differences in how the disease develops. Characterizing those subtypes could be key to deepen the understanding of this complex disease. In this paper, we used a multivariate, non-supervised...

Evaluating trajectories of episodic memory in normal cognition and mild cognitive impairment: Results from ADNI

Background Memory assessment is a key factor for the diagnosis of cognitive impairment. However, memory performance over time may be quite heterogeneous within diagnostic groups. Method To identify latent trajectories in memory performance and their associated risk factors, we analyzed data from Alzheimer’s Disease Neuroimaging Initiative (ADNI) participants who were classified...

Modifying the minimum criteria for diagnosing amnestic MCI to improve prediction of brain atrophy and progression to Alzheimer’s disease

be of great benefit for clinical practice and intervention trials. In 230 cognitively normal (CN) and 394 MCI individuals from the Alzheimer’s Disease Neuroimaging Initiative, we studied whether an MCI ... AuthorsAuthors and affiliations Eero VuoksimaaLinda K. McEvoyDominic HollandCarol E. FranzWilliam S. Kremenfor the Alzheimer’s Disease Neuroimaging Initiative Open Access ORIGINAL RESEARCH First Online: 04

Magnetic resonance imaging in Alzheimer’s disease and mild cognitive impairment

 DervenoulasMarios Politisfor the Alzheimer’s Disease Neuroimaging Initiative Open Access Review First Online: 17 August 2018 6 Shares 1.3k Downloads Abstract Research utilizing magnetic resonance ... , was funded 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). ADNI is funded

Personalized risk for clinical progression in cognitively normal subjects—the ABIDE project

 RamiSteffen WolfsgruberOliver PetersFrank JessenJohannes BerkhofWiesje M. van der Flierfor the Alzheimer’s Disease Neuroimaging Initiative Open Access Research First Online: 16 April 2019 4 Shares ... preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and

Centiloid cut-off values for optimal agreement between PET and CSF core AD biomarkers

 ZetterbergKaj BlennowJuan Domingo Gispertfor the Alzheimer’s Disease Neuroimaging Initiative, for the ALFA Study Open Access Research First Online: 21 March 2019 32 Downloads Abstract Background The ... this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and

Applications of Neuroimaging to Disease-Modification Trials in Alzheimer’s Disease

imaging techniques, and spinal fluid markers of AD all have great potential to provide surrogate endpoint measures for AD pathology. The Alzheimer’s disease neuroimaging initiative (ADNI) was developed for

Classification of Alzheimer’s and MCI Patients from Semantically Parcelled PET Images: A Comparison between AV45 and FDG-PET

classification accuracy of 88%, whereas nonconvertible MCI and NC yielded a 65% accuracy [9]. The authors used FDG-PET images from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Their method proposed to ... the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (http://adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or

Classification of Alzheimer’s and MCI Patients from Semantically Parcelled PET Images: A Comparison between AV45 and FDG-PET

classification accuracy of 88%, whereas nonconvertible MCI and NC yielded a 65% accuracy [9]. The authors used FDG-PET images from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Their method proposed to ... the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (http://adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or

Classification of Alzheimer’s and MCI Patients from Semantically Parcelled PET Images: A Comparison between AV45 and FDG-PET

classification accuracy of 88%, whereas nonconvertible MCI and NC yielded a 65% accuracy [9]. The authors used FDG-PET images from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Their method proposed to ... the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (http://adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or

Applications of Neuroimaging to Disease-Modification Trials in Alzheimer’s Disease

imaging techniques, and spinal fluid markers of AD all have great potential to provide surrogate endpoint measures for AD pathology. The Alzheimer’s disease neuroimaging initiative (ADNI) was developed for ... develop more sensitive surrogate endpoint measurer of disease progression. Neuroimaging biomarkers offer some solutions to these difficulties. Longitudinal studies such as the Alzheimer’s Disease

Structural Neuroimaging in the Detection and Prognosis of Pre-Clinical and Early AD

Current research supports the strong potential of structural MRI profiles, even within cross-sectional designs, as a promising method for the discrimination of Alzheimer's Disease (AD) from normal controls and for the prediction of Mild Cognitive Impairment (MCI) progression and conversion to AD. Findings suggest that measures of structural change in mesial and lateral temporal...

Cerebrospinal fluid synaptosomal-associated protein 25 is a key player in synaptic degeneration in mild cognitive impairment and Alzheimer’s disease

decline and brain structural change in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database.MethodsWe stratified 139 participants from the ADNI database into cognitively normal (CN; n = 52 ... imaging (MRI). Methods Database description Data used in the preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. The ADNI was launched in 2003 as

An efficient algorithm for estimating brain covariance networks

Often derived from partial correlations or many pairwise analyses, covariance networks represent the inter-relationships among regions and can reveal important topological structures in brain measures from healthy and pathological subjects. However both approaches are not consistent network estimators and are sensitive to the value of the tuning parameters. Here, we propose a...

A ‘Comprehensive Visual Rating Scale’ for predicting progression to dementia in patients with mild cognitive impairment

visit. Data were obtained from the Alzheimer’s disease Neuroimaging Initiative study. We assessed all the patients using CVRS and determined their progression to dementia during a follow-up period of over

Multivariate regression analysis of structural MRI connectivity matrices in Alzheimer’s disease

Alzheimer’s disease (AD) is the most common form of dementia among older people and increasing longevity ensures its prevalence will rise even further. Whether AD originates by disconnecting a localized brain area and propagates to the rest of the brain across disease-severity progression is a question with an unknown answer. An important related challenge is to predict whether a...

Mapping longitudinal scientific progress, collaboration and impact of the Alzheimer’s disease neuroimaging initiative

Background Alzheimer’s disease neuroimaging initiative (ADNI) is a landmark imaging and omics study in AD. ADNI research literature has increased substantially over the past decade, which poses challenges for effectively communicating information about the results and impact of ADNI-related studies. In this work, we employed advanced information visualization techniques to...

Memory is preserved in older adults taking AT1 receptor blockers

decline over time. Methods Data were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). The primary goal of ADNI is to test whether neuroimaging, other ... Natasha Williams for assistance with graphics. Data used in the preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (http://adni.loni.usc.edu). As

Using redescription mining to relate clinical and biological characteristics of cognitively impaired and Alzheimer’s disease patients

Based on a set of subjects and a collection of attributes obtained from the Alzheimer’s Disease Neuroimaging Initiative database, we used redescription mining to find interpretable rules revealing