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Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging

Emilie Gerardin, Gaël Chételat, Marie Chupin, Rémi Cuingnet, Béatrice Desgranges, Ho-Sung Kim, Marc Niethammer, Bruno Dubois, Stéphane Lehéricy, Line Garnero, Francis Eustache, Olivier Colliot
2009 NeuroImage  
We describe a new method to automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive impairment (MCI) and elderly controls, based on multidimensional classification of  ...  hippocampal shape features.  ...  ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering (NIBIB), and through generous contributions from the following: Pfizer Inc., Wyeth Research  ... 
doi:10.1016/j.neuroimage.2009.05.036 pmid:19463957 pmcid:PMC3001345 fatcat:zjnkg67iibb3zltb4vkfjkomjy

Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging

Rémi Cuingnet, Stéphane Lehéricy, Marc Niethammer, Marie Chupin, Line Garnero, Bruno Dubois, Ho-Sung Kim, Emilie Gerardin, Francis Eustache, Gaël Chételat, Béatrice Desgranges, Olivier Colliot
2009
We describe a new method to automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive impairment (MCI) and elderly controls, based on multidimensional classification of  ...  hippocampal shape features.  ...  ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering (NIBIB), and through generous contributions from the following: Pfizer Inc., Wyeth Research  ... 
doi:10.17615/dnew-zs48 fatcat:g6sjnteorzdzjixqujhb4sb2ie

Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment

Sergi G. Costafreda, Ivo D. Dinov, Zhuowen Tu, Yonggang Shi, Cheng-Yi Liu, Iwona Kloszewska, Patrizia Mecocci, Hilkka Soininen, Magda Tsolaki, Bruno Vellas, Lars-Olof Wahlund, Christian Spenger (+3 others)
2011 NeuroImage  
The hippocampus is involved at the onset of the neuropathological pathways leading to Alzheimer's disease (AD). Individuals with mild cognitive impairment (MCI) are at increased risk of AD.  ...  We used an automated analysis for the extraction and mapping of the hippocampus from structural magnetic resonance scans to extract 3D hippocampal shape morphology, and we then applied machine learning  ...  Hippocampal shape pattern discriminative between Alzheimer's disease (AD) and healthy controls, which was also predictive of the risk of transition to AD in subjects with mild cognitive impairment.  ... 
doi:10.1016/j.neuroimage.2011.01.050 pmid:21272654 pmcid:PMC3066277 fatcat:phbgvhlws5ddhjbnhv33rmguzm

What do temporal lobe epilepsy and progressive mild cognitive impairment have in common?

Yvonne Höller, Eugen Trinka
2014 Frontiers in Systems Neuroscience  
Temporal lobe epilepsy (TLE) and mild cognitive impairment (MCI) are both subject to intensive memory research.  ...  While it is clear that memory decline in MCI is highly likely and would lead to the more severe diagnosis of Alzheimer's disease, it is a debate if TLE is a dementing disease or not.  ...  ACKNOWLEDGMENTS We thank Amy Melissa Lett for language editing and Jonas Potthoff for help in retrieving literature.  ... 
doi:10.3389/fnsys.2014.00058 pmid:24795575 pmcid:PMC3997046 fatcat:5l4xsdzwnvc6tedxrjsb5c4rem

Automatic Morphological Analysis of Medial Temporal Lobe

Andrea Chincarini, Mirko Corosu, Gianluca Gemme, Piero Calvini, Roberta Monge, Maria Antonietta Penco, Luca Rei, Sandro Squarcia, Patrizia Boccacci, Guido Rodriguez
2010 The Open Nuclear Medicine Journal  
Our main focus is the relevance of the morphological analysis of MTL, and in particular of the hippocampal formation, in making the diagnosis of AD and in distinguishing it from other dementias.  ...  Research in Alzheimer's disease (AD) has seen a tremendous growth of candidate biomarkers in the last decade.  ...  In recent years, the early clinical signs of AD have been extensively investigated, leading to the concept of amnestic mild cognitive impairment (aMCI), an intermediate cognitive state between normal aging  ... 
doi:10.2174/1876388x01002010031 fatcat:qix37g6d4ngoper5be7kzlwuky

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

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 (+7 others)
2015 Alzheimer's & Dementia  
The initial study, ADNI-1, enrolled 400 subjects with early mild cognitive impairment (MCI), 200 with early AD, and 200 cognitively normal elderly controls.  ...  and tracking of Alzheimer's disease (AD).  ...  Weiner has served on the scientific advisory boards for Lilly, Araclon and Institut Catala de Neurociencies Aplicades, Gulf War Veterans Illnesses Advisory Committee, VACO, Biogen Idec, and Pfizer; has  ... 
doi:10.1016/j.jalz.2014.11.001 pmid:26073027 pmcid:PMC5469297 fatcat:2k7ag6astffy5gphqxf5lodkdq

Robust Discovery of Mild Cognitive impairment subtypes and their Risk of Alzheimer's Disease conversion using unsupervised machine learning and Gaussian Mixture Modeling [article]

Fahimeh Nezhadmoghadam, Antonio Martinez Torteya, Victor Manuel Trevino Alvarado, Juan Emmanuel Martinez Ledesma, Alejandro Santos Diaz, Jose Gerardo Tamez Pena
2020 medRxiv   pre-print
Objective: To determine whether the unsupervised discovering of latent classes of subjects with mild cognitive impairment (MCI) may be useful in finding different prodromal AD stages and/or subjects that  ...  Subjects from the training set were analyzed using consensus clustering and Gaussian mixture models (GMM) were used to describe the shape of the discovered latent classes.  ...  Figure 1 1 summarizes the overall methodology used for cluster discovering and validation. al., Discriminative and predictive power of an informant report in mild cognitive impairment.  ... 
doi:10.1101/2020.10.14.20212696 fatcat:22kzkxl76zbgpjovfiva7r3z4a

Hippocampal atrophy in people with memory deficits: results from the population-based IPREA study

Luca Ferrarini, Baldur van Lew, Johan H. C. Reiber, Claudia Gandin, Lucia Galluzzo, Emanuele Scafato, Giovanni B. Frisoni, Julien Milles, Michela Pievani
2014 International Psychogeriatrics  
Conclusions: These findings support the discriminant validity of hippocampal volumetry as a biomarker of memory impairment in the general population.  ...  Methods: We included individuals participating in the Italian Project on the Epidemiology of Alzheimer Disease (IPREA) study: 75 cognitively normal individuals (HC), 31 individuals with memory deficits  ...  Acknowledgments This project was supported by a grant from the Italian Ministry of Health ("Progetti strategici di ricerca finalizzata sulla malattia di Alzheimer", Art. 12 D.  ... 
doi:10.1017/s1041610213002627 pmid:24524645 fatcat:mllinneyu5cbvkg7msfdvby3am

The Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception

Michael W. Weiner, Dallas P. Veitch, Paul S. Aisen, Laurel A. Beckett, Nigel J. Cairns, Robert C. Green, Danielle Harvey, Clifford R. Jack, William Jagust, Enchi Liu, John C. Morris, Ronald C. Petersen (+8 others)
2013 Alzheimer's & Dementia  
Once again, combined features resulted in the most accurate discrimination of the cognitively impaired (AD and MCI) from the cognitively normal.  ...  : ADNI, Alzheimer's Disease Neuroimaging Initiative; ADNI-GO, Grand Opportunities grant; CSF, cerebrospinal fluid; NIA, National Institute on Aging; MCI, mild cognitive impairment; AD, Alzheimer's disease  ... 
doi:10.1016/j.jalz.2013.05.1769 pmid:23932184 pmcid:PMC4108198 fatcat:epydl5poq5evrobxws3qerdolu

The Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception

Michael W. Weiner, Dallas P. Veitch, Paul S. Aisen, Laurel A. Beckett, Nigel J. Cairns, Robert C. Green, Danielle Harvey, Clifford R. Jack, William Jagust, Enchi Liu, John C. Morris, Ronald C. Petersen (+7 others)
2012 Alzheimer's & Dementia  
Once again, combined features resulted in the most accurate discrimination of the cognitively impaired (AD and MCI) from the cognitively normal.  ...  : ADNI, Alzheimer's Disease Neuroimaging Initiative; ADNI-GO, Grand Opportunities grant; CSF, cerebrospinal fluid; NIA, National Institute on Aging; MCI, mild cognitive impairment; AD, Alzheimer's disease  ... 
doi:10.1016/j.jalz.2011.09.172 pmid:22047634 pmcid:PMC3329969 fatcat:kkpjb6lv6zbe3lkv7nllgxdnga

Predicting Clinical Variable from MRI Features: Application to MMSE in MCI [chapter]

S. Duchesne, A. Caroli, C. Geroldi, G. B. Frisoni, D. Louis Collins
2005 Lecture Notes in Computer Science  
We present a methodology for predicting yearly Mini-Mental Score Examination (MMSE) changes in Mild Cognitive Impairment (MCI) patients.  ...  decliners and improvers, but no other differences based on age or sex.  ...  Mazziotta and Evans (ICBM) for permission to use data.  ... 
doi:10.1007/11566465_49 fatcat:ety5dn5ygbc7vduazpvmfmaeci

Morphological Factor Estimation via High-Dimensional Reduction: Prediction of MCI Conversion to Probable AD

Simon Duchesne, Abderazzak Mouiha
2011 International Journal of Alzheimer's Disease  
(CTRL), and 49 Mild Cognitive Impairment (MCI) in that space; (c) extracting high-dimensional discriminant functions; (d) calculating a single morphological factor based on various models.  ...  We propose a novel morphological factor estimate from structural MRI for disease state evaluation. We tested this methodology in the context of Alzheimer's disease (AD) with 349 subjects.  ...  Their studies were supported by the Italian Ministry of Health, under Grant agreement "Archivio normativo italiano di morfometria cerebrale con risonanza magnetica (età 40+)," No. 00.343, and Grant agreement  ... 
doi:10.4061/2011/914085 pmid:21755033 pmcid:PMC3132989 fatcat:vaxrlvv345fb3kciyuy727lpgu

Classification of mild cognitive impairment and Alzheimer's Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data

Cristian R. Munteanu, Carlos Fernandez-Lozano, Virginia Mato Abad, Salvador Pita Fernández, Juan Álvarez-Linera, Juan Antonio Hernández-Tamames, Alejandro Pazos
2015 Expert systems with applications  
A gender-matched cohort of 260 subjects aged between 57 and 99 years from the Alzheimer's Disease Research Unit, of the Fundación CIEN-Fundación Reina Sofía has been used.  ...  Several magnetic resonance techniques have been proposed as non-invasive imaging biomarkers for the evaluation of disease progression and early diagnosis of Alzheimer's Disease (AD).  ...  The authors thank the DEMCAM project team, a multicentre study with patients from different centres for dementia in the Autonomous Region of Madrid.  ... 
doi:10.1016/j.eswa.2015.03.011 fatcat:7sfas3ak5nbujfr7sst3z66po4

Collaborative computational anatomy: An MRI morphometry study of the human brain via diffeomorphic metric mapping

Michael I. Miller, Carey E. Priebe, Anqi Qiu, Bruce Fischl, Anthony Kolasny, Timothy Brown, Youngser Park, J. Tilak Ratnanather, Evelina Busa, Jorge Jovicich, Peng Yu, Bradford C. Dickerson (+1 others)
2009 Human Brain Mapping  
A global classifier was constructed for discriminating cohorts of nondemented and demented subjects based on linear discriminant analysis of dimensions derived from metric distances between anatomical  ...  This article describes a large multi-institutional analysis of the shape and structure of the human hippocampus in the aging brain as measured via MRI.  ...  In particular, applications of Computational Anatomy in normal aging and Alzheimer's Disease (AD) have been studied in both cortex and deep brain structures by several groups [Ballmaier et al., 2004;  ... 
doi:10.1002/hbm.20655 pmid:18781592 pmcid:PMC2844721 fatcat:tci57tjzxzgvjlo7kkjzmtme5u

Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI

Lene Lillemark, Lauge Sørensen, Akshay Pai, Erik B Dam, Mads Nielsen
2014 BMC Medical Imaging  
as a novel way of classifying normal control (NC), mild cognitive impaired (MCI), and AD subjects.  ...  Alzheimer's disease (AD) is a progressive, incurable neurodegenerative disease and the most common type of dementia.  ...  Acknowledgements We gratefully acknowledge the funding from the Danish Research Foundation (Den Danske Forskningsfond) and The Danish National Advanced Technology Foundation supporting this work, and FreeSurfer  ... 
doi:10.1186/1471-2342-14-21 pmid:24889999 pmcid:PMC4048460 fatcat:nvss5hfzfbcmjchrcreuhloxta
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