Combining multiple anatomical MRI measures improves Alzheimer's disease classification

F de Vos, TM Schouten, A Hafkemeijer… - Human brain …, 2016 - Wiley Online Library
Several anatomical MRI markers for Alzheimer's disease (AD) have been identified.
Hippocampal volume, cortical thickness, and grey matter density have been used …

Machine learning and microsimulation techniques on the prognosis of dementia: A systematic literature review

AL Dallora, S Eivazzadeh, E Mendes, J Berglund… - PloS one, 2017 - journals.plos.org
Background Dementia is a complex disorder characterized by poor outcomes for the
patients and high costs of care. After decades of research little is known about its …

[HTML][HTML] Multimodal prediction of conversion to Alzheimer's disease based on incomplete biomarkers

K Ritter, J Schumacher, M Weygandt, R Buchert… - Alzheimer's & Dementia …, 2015 - Elsevier
Background This study investigates the prediction of mild cognitive impairment-to-
Alzheimer's disease (MCI-to-AD) conversion based on extensive multimodal data with …

Classification and prediction of clinical diagnosis of Alzheimer's disease based on MRI and plasma measures of α‐/γ‐tocotrienols and γ‐tocopherol

F Mangialasche, E Westman, M Kivipelto… - Journal of internal …, 2013 - Wiley Online Library
Background The aim of this study was to evaluate the accuracy of combined structural
magnetic resonance imaging (MRI) measures and plasma levels of vitamin E forms …

A combination of neuropsychological, neuroimaging, and cerebrospinal fluid markers predicts conversion from mild cognitive impairment to dementia

C Eckerström, E Olsson, M Bjerke… - Journal of …, 2013 - content.iospress.com
Background: Mild cognitive impairment (MCI) is a condition with increased risk for further
cognitive decline. A considerable challenge lies in predicting which patients will eventually …

Recursive support vector machine biomarker selection for Alzheimer's disease

F Zhang, M Petersen, L Johnson, J Hall… - Journal of …, 2021 - content.iospress.com
Background: There is a need for more reliable diagnostic tools for the early detection of
Alzheimer's disease (AD). This can be a challenge due to a number of factors and logistics …

Frontiers for the early diagnosis of AD by means of MRI brain imaging and support vector machines

C Salvatore, P Battista… - Current Alzheimer …, 2016 - ingentaconnect.com
The emergence of Alzheimer's Disease (AD) as a consequence of increasing aging
population makes urgent the availability of methods for the early and accurate diagnosis …

Comparison of brief cognitive tests and CSF biomarkers in predicting Alzheimer's disease in mild cognitive impairment: six-year follow-up study

S Palmqvist, J Hertze, L Minthon, C Wattmo… - PLOS …, 2012 - journals.plos.org
Introduction Early identification of Alzheimer's disease (AD) is needed both for clinical trials
and in clinical practice. In this study, we compared brief cognitive tests and cerebrospinal …

[HTML][HTML] Speech pause distribution as an early marker for Alzheimer's disease

P Pastoriza-Dominguez, IG Torre, F Dieguez-Vide… - Speech …, 2022 - Elsevier
Background: Pause duration analysis is a common feature in the study of discourse in
Alzheimer's disease (AD) since this patient group has shown a consistent trend for longer …

MRI and cerebrospinal fluid biomarkers for predicting progression to Alzheimer's disease in patients with mild cognitive impairment: a diagnostic accuracy study

E Richard, BA Schmand, P Eikelenboom… - BMJ open, 2013 - bmjopen.bmj.com
Objectives To assess the incremental value of MRI and cerebrospinal fluid (CSF) analysis
after a short memory test for predicting progression to Alzheimer's disease from a pragmatic …