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Identification of Atrophy Patterns in Alzheimer's Disease Based on SVM Feature Selection and Anatomical Parcellation [chapter]

Lilia Mesrob, Benoit Magnin, Olivier Colliot, Marie Sarazin, Valérie Hahn-Barma, Bruno Dubois, Patrick Gallinari, Stéphane Lehéricy, Serge Kinkingnéhun, Habib Benali
<i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Our approach relies on the identification of gray matter (GM) atrophy patterns using whole-brain parcellation into anatomical regions and the extraction of GM characteristics in these regions.  ...  In this paper, we propose a fully automated method to individually classify patients with Alzheimer's disease (AD) and elderly control subjects based on anatomical magnetic resonance imaging (MRI).  ...  IDENTIFICATION OF ATROPHY PATTERNS IN ALZHEIMER'S DISEASE BASED ON SVM FEATURE SELECTION AND ANATOMICAL PARCELLATIONAnnals of the BMVA Vol. 2009, No. 7, pp1−9 (2009) MESROB et al: IDENTIFICATION  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-79982-5_14">doi:10.1007/978-3-540-79982-5_14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e5y3fkmmkbebdbvtflum2tb52i">fatcat:e5y3fkmmkbebdbvtflum2tb52i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20130528045658/http://www.bmva.org/annals/2009/2009-0007.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0f/3c/0f3cc423dcf0b0e225bb392fe8a2cb2a3b656b86.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-79982-5_14"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Automated identification of dementia using medical imaging: a survey from a pattern classification perspective

Chuanchuan Zheng, Yong Xia, Yongsheng Pan, Jinhu Chen
<span title="2015-12-21">2015</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mkrnpcnuxraprbvqo4hu6naxfy" style="color: black;">Brain Informatics</a> </i> &nbsp;
Since most of those algorithms consist of both feature extraction and classification, we provide a survey on three categories of feature extraction methods, including the voxel-, vertex-and ROI-based ones  ...  In this review paper, we summarized the automated dementia identification algorithms in the literature from a pattern classification perspective.  ...  We summarize the voxel-based, vertex-based, and ROI-based feature extraction methods and LDA-based, Bayesian, SVM-based, and ANN-based pattern classification methods used in various dementia identification  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s40708-015-0027-x">doi:10.1007/s40708-015-0027-x</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27747596">pmid:27747596</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4883162/">pmcid:PMC4883162</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yefc226j4za75afkkkolg4m5n4">fatcat:yefc226j4za75afkkkolg4m5n4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922055627/https://link.springer.com/content/pdf/10.1007%2Fs40708-015-0027-x.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/98/4d/984de37f2946c99b54a797cf6846489196c0b1b7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s40708-015-0027-x"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883162" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A Survey of Different Machine Learning Models for Alzheimer Disease Prediction

Ragavamsi Davuluri
<span title="2020-07-25">2020</span> <i title="The World Academy of Research in Science and Engineering"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/l2ghh6vzxbh45awjxwipefhnue" style="color: black;">International Journal of Emerging Trends in Engineering Research</a> </i> &nbsp;
Machine learning model is one of the best disease prediction framework in various medical disease prediction processes.  ...  Component selection plays a significant role in improving the performance of these programs. Therefore, various forms of feature selection techniques are analyzed in this survey article.  ...  [25] has identified heterogeneous atrophy patterns in the brain in Alzheimer's disease. Han et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.30534/ijeter/2020/73872020">doi:10.30534/ijeter/2020/73872020</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6z5ke75e4zfenbthmmj3all32e">fatcat:6z5ke75e4zfenbthmmj3all32e</a> </span>
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Detection of Alzheimer's Disease Using Multitracer Positron Emission Tomography Imaging

H. Dehghan
<span title="">2013</span> <i title="International Digital Organization for Scientific Information (IDOSI)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pcffws5cpnbi5npocbyumjhaci" style="color: black;">International Journal of Engineering</a> </i> &nbsp;
Alzheimer's disease is characterized by impaired glucose metabolism and demonstration of amyloid plaques.  ...  Combination of two tracers with positron emission tomography scan yielded a higher diagnostic accuracy in Alzheimer's disease compared to individual tracer and other combination methods.  ...  It is based on premier features selected by intersection combination method.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5829/idosi.ije.2014.27.01a.07">doi:10.5829/idosi.ije.2014.27.01a.07</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/crkjpd3aj5doxh36u6ljfbwpjq">fatcat:crkjpd3aj5doxh36u6ljfbwpjq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200709131348/http://www.ije.ir/article_72231_e2a9af7efdf5d8877c975483890c3dc7.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/db/1f/db1f47757d989ab98b6111e8095b1067d22ef52f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5829/idosi.ije.2014.27.01a.07"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Automated Identification of Dementia Using FDG-PET Imaging

Yong Xia, Shen Lu, Lingfeng Wen, Stefan Eberl, Michael Fulham, David Dagan Feng
<span title="">2014</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/icbhosh775h7bgzgot6avm3cua" style="color: black;">BioMed Research International</a> </i> &nbsp;
However, various existing image features and classifiers have their limitations in characterizing and differentiating the patterns of this disease.  ...  We reported a hybrid feature extraction, selection, and classification approach, namely, the GA-MKL algorithm, for separating patients with suspected Alzheimer's disease and frontotemporal dementia from  ...  Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2014/421743">doi:10.1155/2014/421743</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24672787">pmid:24672787</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3929290/">pmcid:PMC3929290</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/h5kvp3ex4fa4bjriwazy63o4lu">fatcat:h5kvp3ex4fa4bjriwazy63o4lu</a> </span>
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A Comparative Atlas-Based Recognition of Mild Cognitive Impairment With Voxel-Based Morphometry

Zhuqing Long, Jinchang Huang, Bo Li, Zuojia Li, Zihao Li, Hongwen Chen, Bin Jing
<span title="2018-12-06">2018</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wrk3kouosrhcxiprcbguskdipu" style="color: black;">Frontiers in Neuroscience</a> </i> &nbsp;
phase of Alzheimer's disease.  ...  At last, the abnormal volume features were selected as the classification features for a proposed support vector machine based identification method.  ...  In detail, the optimal two parameters of γ and C were determined with an internal LOOCV that was only performed on selected features of the training data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnins.2018.00916">doi:10.3389/fnins.2018.00916</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30574064">pmid:30574064</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6291519/">pmcid:PMC6291519</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4hupzamiwzfypptqsmw5pvkvni">fatcat:4hupzamiwzfypptqsmw5pvkvni</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190307155612/http://pdfs.semanticscholar.org/fc0a/5022cf15f5785dcff05fb0ada7fe573cb620.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fc/0a/fc0a5022cf15f5785dcff05fb0ada7fe573cb620.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnins.2018.00916"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6291519" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Prediction of Alzheimer's disease using individual structural connectivity networks

Junming Shao, Nicholas Myers, Qinli Yang, Jing Feng, Claudia Plant, Christian Böhm, Hans Förstl, Alexander Kurz, Claus Zimmer, Chun Meng, Valentin Riedl, Afra Wohlschläger (+1 others)
<span title="">2012</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/h77v7bacwjdqjifp5ymnikreee" style="color: black;">Neurobiology of Aging</a> </i> &nbsp;
Alzheimer's disease (AD) progressively degrades the brain's gray and white matter. Changes in white matter reflect changes in the brain's structural connectivity pattern.  ...  Our finding provides evidence that ISCNs are sensitive to the impact of earliest stages of AD. ISCNs may be useful as a white matter-based imaging biomarker to distinguish healthy aging from AD.  ...  Supplementary data Supplementary data associated with this article can be found in the online version at doi: 10.1016/j.neurobiolaging.2012.01.017.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neurobiolaging.2012.01.017">doi:10.1016/j.neurobiolaging.2012.01.017</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/22405045">pmid:22405045</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3778749/">pmcid:PMC3778749</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ucinsd5yinf63ewcsrqr42krm4">fatcat:ucinsd5yinf63ewcsrqr42krm4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171005232017/http://publisher-connector.core.ac.uk/resourcesync/data/elsevier/pdf/fd2/aHR0cDovL2FwaS5lbHNldmllci5jb20vY29udGVudC9hcnRpY2xlL3BpaS9zMDE5NzQ1ODAxMjAwMDM4Mw%3D%3D.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3e/f9/3ef9e08eea97503ef540c3a77801fa39c0cb85e2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neurobiolaging.2012.01.017"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3778749" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

An Efficient Combination among sMRI, CSF, Cognitive Score, and APOE ε4 Biomarkers for Classification of AD and MCI Using Extreme Learning Machine

Uttam Khatri, Goo-Rak Kwon
<span title="2020-06-04">2020</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3wwzxqpotbc73bzpemzybzg7ee" style="color: black;">Computational Intelligence and Neuroscience</a> </i> &nbsp;
Alzheimer's disease (AD) is the most common cause of dementia and a progressive neurodegenerative condition, characterized by a decline in cognitive function.  ...  Then we utilized multiple biomarkers, along with filter- and wrapper-based feature selection and an extreme learning machine- (ELM-) based approach, with 10-fold cross-validation for classification.  ...  So far to our knowledge, gradual cerebral atrophy is one of the obvious and major changes in AD, and the pattern of atrophy can be analyzed via high-resolution MRI technology.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2020/8015156">doi:10.1155/2020/8015156</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32565773">pmid:32565773</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7292973/">pmcid:PMC7292973</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/journals/cin/KhatriK20.html">dblp:journals/cin/KhatriK20</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ijjbbgjxhja6zme7iv3ubrt5qe">fatcat:ijjbbgjxhja6zme7iv3ubrt5qe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200710075403/http://downloads.hindawi.com/journals/cin/2020/8015156.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6f/11/6f11696dac6cd513b6148776a56cb24fcfc1dc8c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2020/8015156"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7292973" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Prediction of clinical and biomarker conformed Alzheimer's disease and mild cognitive impairment from multi-feature brain structural MRI using age-correction from a large independent lifespan sample

Binyin Li, Miao Zhang, Joost Riphagen, Kathryn Morrison Yochim, Biao Li, Jun Liu, David H. Salat
<span title="2020-08-19">2020</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/47gmsc3hojdm5kdlgbg4peyvyi" style="color: black;">NeuroImage: Clinical</a> </i> &nbsp;
Structural neuroimaging has been applied to the identification of individuals with Alzheimer's disease (AD) and mild cognitive impairment (MCI).  ...  These models were then used to create a new support vector machine (SVM) training model in 136 CE and 268 control participants based on residues of fit from the expected age-effects relationship.  ...  Data collection and sharing for D2 and MCI in this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.nicl.2020.102387">doi:10.1016/j.nicl.2020.102387</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32871388">pmid:32871388</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7476071/">pmcid:PMC7476071</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qerh6wtsdnduvpnhvborhm46ra">fatcat:qerh6wtsdnduvpnhvborhm46ra</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210527082515/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7476071&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/da/28/da28b4918394a7d32296ed1e4dfdf8ea4003cf72.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.nicl.2020.102387"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476071" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Feature Selection and Transfer Learning for Alzheimer's Disease Clinical Diagnosis

Ke Zhou, Wenguang He, Yonghui Xu, Gangqiang Xiong, Jie Cai
<span title="2018-08-15">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
and Purpose: A majority studies on diagnosis of Alzheimer's Disease (AD) are based on an assumption: the training and testing data are drawn from the same distribution.  ...  Meanwhile, feature selection that is based on information gain reduced the features from 90 to 7, controlled the redundancy efficiently.  ...  Feature Selection We have obtained 90 features that are based on the previous feature extraction. However, not all of the features can be used for Alzheimer's Disease clinical diagnosis.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app8081372">doi:10.3390/app8081372</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jzbap2fssfe2naof4gv7d57t4u">fatcat:jzbap2fssfe2naof4gv7d57t4u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190504162924/https://res.mdpi.com/applsci/applsci-08-01372/article_deploy/applsci-08-01372.pdf?filename=&amp;attachment=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/80/b0/80b0eaa83ad862c4509a049428a65a0f002f23d4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app8081372"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Use of SVM Methods with Surface-Based Cortical and Volumetric Subcortical Measurements to Detect Alzheimer's Disease

Pedro Paulo de Magalhães Oliveira, Ricardo Nitrini, Geraldo Busatto, Carlos Buchpiguel, João Ricardo Sato, Edson Amaro
<span title="2010-03-11">2010</span> <i title="IOS Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/uux5o5kf5zaednhl4637xcmbte" style="color: black;">Journal of Alzheimer&#39;s Disease</a> </i> &nbsp;
Here, we examine morphological changes in cortical thickness of patients with Alzheimer's disease (AD) using image analysis algorithms for brain structure segmentation and study automatic classification  ...  Cortical thickness of AD patients (n = 14) was measured using MRI cortical surface-based analysis and compared with healthy subjects (n = 20).  ...  Stevens, and N. Schmansky for helpful comments and support on the FreeSurfer functioning.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/jad-2010-1322">doi:10.3233/jad-2010-1322</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/20061613">pmid:20061613</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qfj767udezdnlf4adjv3yf2mua">fatcat:qfj767udezdnlf4adjv3yf2mua</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20100719085604/https://surfer.nmr.mgh.harvard.edu/pub/articles/Oliveira_JAD2010.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f6/9a/f69aa48f6ba8c27955c65f11e8a0204ae5d62604.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/jad-2010-1322"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Identification of MCI individuals using structural and functional connectivity networks

Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Kevin Denny, Jeffrey N. Browndyke, Guy G. Potter, Kathleen A. Welsh-Bohmer, Lihong Wang, Dinggang Shen
<span title="">2012</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sa477uo7lveh7hchpikpixop5u" style="color: black;">NeuroImage</a> </i> &nbsp;
MCI, often an early stage of Alzheimer's disease (AD), is difficult to diagnose due to its very mild or insignificant symptoms of cognitive impairment.  ...  The classification accuracy obtained by the proposed method is 96.3%, which is an increase of at least 7.4% from the single modality-based methods and the direct data fusion method.  ...  and Depression Young Investigator Award (LW).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2011.10.015">doi:10.1016/j.neuroimage.2011.10.015</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/22019883">pmid:22019883</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3254811/">pmcid:PMC3254811</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6qpb5w5senesvfiycn34eh7tfi">fatcat:6qpb5w5senesvfiycn34eh7tfi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200211054237/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC3254811&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8c/04/8c047c8b76baef0a3fb20feabed71f5dd1cff921.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2011.10.015"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3254811" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Biomarkers for Early Detection of Alzheimer Pathology

C.M. Clark, C. Davatzikos, A. Borthakur, A. Newberg, S. Leight, V.M.-Y. Lee, J.Q. Trojanowski
<span title="2007-12-05">2007</span> <i title="S. Karger AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/o3es7plpf5cvbohqzt3eodrdbq" style="color: black;">Neurosignals</a> </i> &nbsp;
Strategies to accomplish this include the detection of altered levels of tau and amyloid in cerebrospinal fluid, the use of structural MRI to identify disease-specific patterns of regional atrophy and  ...  Success will facilitate the ability to reliably diagnose Alzheimer's disease while the symptoms of brain failure are mild and may provide objective measures of disease-modifying treatment efficacy.  ...  Support for research summarized here comes from the NIH (AG10124), the Pennsylvania Department of Health (SAP4100027296), the James Previti Family Fund and Marian S. Ware.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1159/000109754">doi:10.1159/000109754</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/18097155">pmid:18097155</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC2866153/">pmcid:PMC2866153</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/t7wofsgo6vc4fnnaque2cpdj2i">fatcat:t7wofsgo6vc4fnnaque2cpdj2i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829085602/https://www.cbica.upenn.edu/sbia/papers/522.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/23/ab/23abeebcf5a9bb1695b24372bc156496f23da48b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1159/000109754"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2866153" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database

Rémi Cuingnet, Emilie Gerardin, Jérôme Tessieras, Guillaume Auzias, Stéphane Lehéricy, Marie-Odile Habert, Marie Chupin, Habib Benali, Olivier Colliot
<span title="">2011</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sa477uo7lveh7hchpikpixop5u" style="color: black;">NeuroImage</a> </i> &nbsp;
In this paper, we evaluated the performance of ten approaches (five voxel-based methods, three methods based on cortical thickness and two methods based on the hippocampus) using 509 subjects from the  ...  Overall, the use of feature selection did not improve the performance but substantially increased the computation times.  ...  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.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2010.06.013">doi:10.1016/j.neuroimage.2010.06.013</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/20542124">pmid:20542124</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/to7wumexjngmdayuswfkn7dyu4">fatcat:to7wumexjngmdayuswfkn7dyu4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809034754/http://aramislab.fr/files/papers/neuroimage2011_remi_comparaison_in_press.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ee/aa/eeaa6012a81d2ce6eb1f3ef92fd1ef7d7418d32d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2010.06.013"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

A review of heterogeneous data mining for brain disorders [article]

Bokai Cao, Xiangnan Kong, Philip S. Yu
<span title="2015-08-05">2015</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
They have achieved great success in various applications, such as tensor-based modeling, subgraph pattern mining, multi-view feature analysis.  ...  With rapid advances in neuroimaging techniques, the research on brain disorder identification has become an emerging area in the data mining community.  ...  Following the idea of SVM-based recursive feature elimination [21] , multi-view feature selection is consistently formulated and implemented in the framework of multiview SVM.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1508.01023v1">arXiv:1508.01023v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e6nscurzmbc23f26p2q42ccbrm">fatcat:e6nscurzmbc23f26p2q42ccbrm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200905100444/https://arxiv.org/pdf/1508.01023v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e1/75/e175d01cbacb1e7d430bb1dc118d89237712b173.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1508.01023v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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