Alzheimer disease: quantitative structural neuroimaging for detection and prediction of clinical and structural changes in mild cognitive impairment - Test2 - elhamkhani - TriplyDB

Alzheimer disease: quantitative structural neuroimaging for detection and prediction of clinical and structural changes in mild cognitive impairment

Alzheimer disease: quantitative structural neuroimaging for detection and prediction of clinical and structural changes in mild cognitive impairment

http://www.wikidata.org/entity/Q33406823

about

Computational medicine: translating models to clinical care One-year brain atrophy evident in healthy aging The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception Alliance for aging research AD biomarkers work group: structural MRI.High degree of heterogeneity in Alzheimer's disease progression patterns The clinical value of large neuroimaging data sets in Alzheimer's disease The Alzheimer's disease neuroimaging initiative: progress report and future plans Genetic determinants of disease progression in Alzheimer's disease Cognitive decline and brain pathology in aging--need for a dimensional, lifespan and systems vulnerability view.2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception.Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease.Update on the magnetic resonance imaging core of the Alzheimer's disease neuroimaging initiative.Multi-task linear programming discriminant analysis for the identification of progressive MCI individuals.Seed Location Impacts Whole-Brain Structural Network Comparisons between Healthy Elderly and Individuals with Alzheimer's Disease.Combining MR imaging, positron-emission tomography, and CSF biomarkers in the diagnosis and prognosis of Alzheimer disease.Relative capability of MR imaging and FDG PET to depict changes associated with prodromal and early Alzheimer disease.Remote sites of structural atrophy predict later amyloid formation in a mouse model of Alzheimer's disease.CSF biomarkers in prediction of cerebral and clinical change in mild cognitive impairment and Alzheimer's disease.Quantitative structural MRI for early detection of Alzheimer's disease.Brain substrates of learning and retention in mild cognitive impairment diagnosis and progression to Alzheimer's disease Frequent and discriminative subnetwork mining for mild cognitive impairment classification.Classification of Alzheimer disease, mild cognitive impairment, and normal cognitive status with large-scale network analysis based on resting-state functional MR imaging.Identifying cognitively healthy elderly individuals with subsequent memory decline by using automated MR temporoparietal volumes.New tools for the study of Alzheimer's disease: what are biomarkers and morphometric markers teaching us?Identification of conversion from mild cognitive impairment to Alzheimer's disease using multivariate predictors Integrating ADNI results into Alzheimer's disease drug development programs.Longitudinal MRI atrophy biomarkers: relationship to conversion in the ADNI cohort Level of executive function influences verbal memory in amnestic mild cognitive impairment and predicts prefrontal and posterior cingulate thickness.Multi-method analysis of MRI images in early diagnostics of Alzheimer's disease The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception.A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis Predicting progression of Alzheimer's disease using ordinal regression.Relationship between regional atrophy rates and cognitive decline in mild cognitive impairment Neuroimaging enrichment strategy for secondary prevention trials in Alzheimer disease.Calculating stage duration statistics in multistage diseases Six-month atrophy in MTL structures is associated with subsequent memory decline in elderly controls JointMMCC: joint maximum-margin classification and clustering of imaging data.Mild cognitive impairment: baseline and longitudinal structural MR imaging measures improve predictive prognosis.Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

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P2860

Alzheimer disease: quantitative structural neuroimaging for detection and prediction of clinical and structural changes in mild cognitive impairment

http://www.wikidata.org/entity/Q33406823

description

2009 nî lūn-bûn

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2009 թուականի Փետրուարին հրատարակուած գիտական յօդուած

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2009 թվականի փետրվարին հրատարակված գիտական հոդված

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2009年の論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年论文

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name

Alzheimer disease: quantitativ ...... s in mild cognitive impairment

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Alzheimer disease: quantitativ ...... s in mild cognitive impairment

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Alzheimer disease: quantitativ ...... s in mild cognitive impairment

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Christopher J Pung

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David S Karow

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Donald J Hagler

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J Cooper Roddey

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James B Brewer

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Linda K McEvoy

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P2860

Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline

MRI patterns of atrophy associated with progression to AD in amnestic mild cognitive impairment

The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods.

“Mini-mental state”

Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease

Cortical Surface-Based Analysis

Voxel-based morphometry--the methods

Focal posterior cingulate atrophy in incipient Alzheimer's disease

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

Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system

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10.1148/RADIOL.2511080924

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1

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251

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Christine Fennema-Notestine

Alzheimer's Disease Neuroimaging Initiative

Dominic Holland

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2009-02-06T00:00:00Z

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23989390

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19201945

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Alzheimer's disease

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