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Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging
2009
NeuroImage
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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
2009
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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
2011
NeuroImage
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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?
2014
Frontiers in Systems Neuroscience
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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
2010
The Open Nuclear Medicine Journal
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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
2015
Alzheimer's & Dementia
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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]
2020
medRxiv
pre-print
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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
2014
International Psychogeriatrics
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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
2013
Alzheimer's & Dementia
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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
2012
Alzheimer's & Dementia
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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]
2005
Lecture Notes in Computer Science
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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
2011
International Journal of Alzheimer's Disease
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(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
2015
Expert systems with applications
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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
2009
Human Brain Mapping
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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
2014
BMC Medical Imaging
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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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