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Early diagnosis of alzheimer's disease: contribution of structural neuroimaging

G.aël Chetelat, Jean-Claude Baron
2003 NeuroImage  
To accurately predict the development of Alzheimer's disease (AD) at its predementia stage would be a major breakthrough from both therapeutic and research standpoints.  ...  Consistent with established histopathological data, structural imaging studies comparing patients with early probable AD to healthy aged subjects have shown that the most specific and sensitive features  ...  Introduction In this review, "early diagnosis" will refer to one's ability to diagnose Alzheimer's disease (AD) 1 at a very early stage, before symptoms and clinical signs have reached the stage at which  ... 
doi:10.1016/s1053-8119(02)00026-5 pmid:12595205 fatcat:qrokhrnxrfa4nfo6zvlopwcm2q

Current Approaches to the Clinical Diagnosis of Alzheimer's Disease [chapter]

Kirk R. Daffner
2000 Early Diagnosis of Alzheimer's Disease  
Neuroimaging Traditionally, neuroimaging [computed tomography (CT) scan or magnetic resonance imaging (MRI)] has been used to rule out potential structural abnormalities that may be causing or contributing  ...  Seizures or gait disturbances at the onset or very early in the course of the illness V. Clinical diagnosis of possible Alzheimer's disease: 1.  ... 
doi:10.1007/978-1-59259-005-6_2 fatcat:l22ro5vzzjbfrdzq55y2h6ryna

Early diagnosis of Alzheimer's disease with deep learning

Siqi Liu, Sidong Liu, Weidong Cai, Sonia Pujol, Ron Kikinis, Dagan Feng
2014 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)  
The early diagnosis of AD can be naturally modelled to be a multi-class classification problem: • AD: Patients of Alzheimer's Disease • MCI: Mild Cognitive Impairment, a prodromal stage of AD, which can  ...  Background Alzheimer's disease (AD) is the most common form of dementia, which is a progressive brain disorder mostly occurring in the middle or late life. • A decline in memory and other cognitive functions  ... 
doi:10.1109/isbi.2014.6868045 dblp:conf/isbi/LiuLCPKF14 fatcat:lt3m2n4hp5bthew7yya4npt2ma

Multimodal Neuroimaging in Alzheimer's Disease: Early Diagnosis, Physiopathological Mechanisms, and Impact of Lifestyle

Gaël Chételat, G. Perry, J. Avila, P.I. Moreira, A.A. Sorensen, M. Tabaton
2018 Journal of Alzheimer's Disease  
Over the last ten years, we have conducted research in Alzheimer's disease (AD) using multimodal neuroimaging techniques to improve diagnosis, further our understanding of the pathological mechanisms underlying  ...  Our works emphasized the interest of hippocampal subfield volumetry in early diagnosis and the need for further development in this field including optimization, standardization, and automatization of  ...  ACKNOWLEDGMENTS I would like to thank all the persons who contributed to these works: The author's disclosure is available online (https:// www.j-alz.com/manuscript-disclosures/17-9920).  ... 
doi:10.3233/jad-179920 pmid:29504542 pmcid:PMC6004909 fatcat:6nmeb4ktb5cljiuuagwjxsvtgi

Magnetic resonance imaging for diagnosis of early Alzheimer's disease

O. Colliot, L. Hamelin, M. Sarazin
2013 Revue neurologique (Paris)  
A major challenge for neuroimaging is to contribute to the early diagnosis of Alzheimer's disease (AD).  ...  In particular, magnetic resonance imaging (MRI) allows detecting different types of structural and functional abnormalities at an early stage of the pathology.  ...  Among neuroimaging techniques, different types of magnetic resonance imaging (MRI) acquisitions may contribute to the early diagnosis of AD by detecting different structural and functional alterations.  ... 
doi:10.1016/j.neurol.2013.07.013 pmid:24011982 fatcat:nopub2pisvg3letsnf3y6tzc4a

Multiplex Networks for Early Diagnosis of Alzheimer's Disease

Nicola Amoroso, Marianna La Rocca, Stefania Bruno, Tommaso Maggipinto, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro
2018 Frontiers in Aging Neuroscience  
Analysis and quantification of brain structural changes, using Magnetic Resonance Imaging (MRI), are increasingly used to define novel biomarkers of brain pathologies, such as Alzheimer's disease (AD).  ...  Several studies have suggested that brain topological organization can reveal early signs of AD.  ...  progression of mild cognitive impairment (MCI) and early Alzheimer's disease (AD).  ... 
doi:10.3389/fnagi.2018.00365 pmid:30487745 pmcid:PMC6247675 fatcat:7f7txsl7mvatxgppmeid6ryf6i

Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease

Bo Cheng, Mingxia Liu, Dinggang Shen, Zuoyong Li, Daoqiang Zhang
2016 Neuroinformatics  
Recently, transfer learning has been successfully applied in early diagnosis of Alzheimer's Disease (AD) based on multi-domain data.  ...  We evaluate our method on 807 subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database using baseline magnetic resonance imaging (MRI) data.  ...  Acknowledgments Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904).  ... 
doi:10.1007/s12021-016-9318-5 pmid:27928657 pmcid:PMC5444948 fatcat:t3ggzcdhejaddmo3afgquy5c7e

Early Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment: Imaging, Biomarkers, and Technology

Teresa Buracchio, Jeffrey Kaye
2009 Generations  
Acknowledgments The authors are supported by Grants from the Department of Veterans Affairs and the National Institute on Aging (AG08017, AG024978, AG024059, AG10483).  ...  Genetic studies of these early-onset forms have contributed greatly to our understanding of the pathogenic mechanisms of Alzheimer's and form the strongest case for the role of amyloid leading to the disease  ...  It may aid in the initial diagnosis of Alzheimer's and serve as a marker of progression of disease. Functional neuroimaging identifies areas of alteration in metabolic activity.  ... 
pmid:24634565 pmcid:PMC3952277 fatcat:ku2u37x32zdedd36wkcs3drhzq

Stacked Generalization for Early Diagnosis of Alzheimer's Disease

Hardik Gandhi, Deborah Green, John Kounios, Christopher M. Clark, Robi Polikar
2006 2006 International Conference of the IEEE Engineering in Medicine and Biology Society  
from the electroencephalogram (EEG) was done, to obtain a feasible biomarker for the early diagnosis of Alzheimer's disease.  ...  have been used for classification of Alzheimer's disease.  ... 
doi:10.1109/iembs.2006.260644 pmid:17947137 fatcat:os7o7z5e6ngfpox63lrgrygusq

The Different Strategies used for the Early Diagnosis of Alzheimer's Disease

C. S. Sandeep, A. Sukesh Kumar
2019 Asian Journal of Engineering and Applied Technology  
In this paper, we have focused on the different causes as well as the different strategies used for the early diagnosis of Alzheimer's disease (AD).  ...  There are several clinical tests and neuroimaging techniques used in clinical practice for the diagnosis of Alzheimer's – type pathology.  ...  ALZHEIMER'S AND DEMENTIA TESTING FOR EARLIER DIAGNOSIS Current diagnosis of Alzheimer's disease is made by clinical, neuropsychological, and neuroimaging assessments.  ... 
doi:10.51983/ajeat-2019.8.1.1064 fatcat:f4vyxhwpljdorepofb5nxsjbry

Neuroimaging markers for the prediction and early diagnosis of Alzheimer's disease dementia

Michael Ewers, Reisa A. Sperling, William E. Klunk, Michael W. Weiner, Harald Hampel
2011 Trends in Neurosciences  
At the time of clinical manifestation of dementia, significant irreversible brain damage is already present, rendering the diagnosis of AD at early stages of the disease an urgent prerequisite for therapeutic  ...  Alzheimer's disease (AD) is a progressive age-related neurodegenerative disease.  ...  Research and Education, and with resources of the Veterans Affairs (VA) Medical Center, San Francisco, California.  ... 
doi:10.1016/j.tins.2011.05.005 pmid:21696834 pmcid:PMC3275347 fatcat:6dk62eqplrhlvckqy2c7cwcqdm

Views on Early Diagnosis of Alzheimer's Disease Among Dutch Physicians: A Qualitative Interview Study

Krista Tromp, Marthe Smedinga, Edo Richard, Marieke Perry, Maartje H.N. Schermer
2020 Journal of Alzheimer's Disease  
Most of them interpreted an early AD diagnosis with an early diagnosis of dementia.  ...  Hope for future treatments to prevent or slow down dementia motivates researchers to strive for ever-earlier diagnoses of Alzheimer's disease (AD) based on biomarkers, even before symptoms occur.  ...  Authors' disclosures available online (https:// www.j-alz.com/manuscript-disclosures/20-0884r1) SUPPLEMENTARY MATERIAL The supplementary material is available in the electronic version of this article  ... 
doi:10.3233/jad-200884 pmid:33361592 fatcat:2737xozkhrfgfdzguqeldqygia

Machine Learning for Diagnosis of Alzheimer's Disease and Early Stages

Julio José Prado, Ignacio Rojas
2021 BioMedInformatics  
Alzheimer's disease is the most common form of dementia and may contribute to 60–70% of cases. It has been proved that early diagnosis is key to promoting early and optimal management.  ...  The objective of this contribution is to predict Alzheimer's early stages, not only dementia itself.  ...  be combined to measure the progression of mild cognitive impairment (MCI) and early Alzheimer's disease (AD).  ... 
doi:10.3390/biomedinformatics1030012 fatcat:77dpmuccpbfqhcbmhalkigxaqa

Early Diagnosis of Alzheimer's Disease Based on Convolutional Neural Networks

Atif Mehmood, Ahed Abugabah, Ahmed Ali AlZubi, Louis Sanzogni
2022 Computer systems science and engineering  
The early diagnosis of AD depends on the efficient use of classification approach.  ...  Alzheimer's disease (AD) is a neurodegenerative disorder, causing the most common dementia in the elderly peoples.  ...  In AD diagnosis, the neuroimaging modalities play a key role in the early detection. In these modalities, one of the more prominent is the MRI.  ... 
doi:10.32604/csse.2022.018520 fatcat:nc36jgctnrca5lik3dfufmmf6a

Anterolateral entorhinal cortex thickness as a new biomarker for early detection of Alzheimer's disease

Andrew J. Holbrook, Nicholas J. Tustison, Freddie Marquez, Jared Roberts, Michael A. Yassa, Daniel L. Gillen, for the Alzheimer's Disease Neuroimaging Initiative
2020 Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring  
Thinning of aLEC is a sensitive structural biomarker that changes over short durations in the course of AD and tracks disease severity-it is a strong candidate biomarker for detection of early AD.  ...  Loss of entorhinal cortex (EC) layer II neurons represents the earliest Alzheimer's disease (AD) lesion in the brain.  ...  The Alzheimer's Disease Neuroimaging Initiative (ADNI 15 ) began in 2003 with the goal of developing imaging, genetic, and pathological biomarkers for early detection and longitudinal progression in  ... 
doi:10.1002/dad2.12068 pmid:32875052 pmcid:PMC7447874 fatcat:oufoggc2r5erbef4cecvc4prrq
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