Discriminant analysis of intermediate brain atrophy rates in longitudinal diagnosis of Alzheimer's disease.
Diagnosing Alzheimer's disease through MRI neuroimaging biomarkers has been used as a complementary marker for traditional clinical markers to improve diagnostic accuracy and also help in developing new pharmacotherapeutic trials. It has been revealed that longitudinal analysis of the whole bra...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/23207/1/Discriminant%20analysis%20of%20intermediate%20brain%20atrophy%20rates%20in%20longitudinal%20diagnosis%20of%20Alzheimer.pdf |
| _version_ | 1825925307454980096 |
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| author | Mashohor, Syamsiah Ramli, Abdul Rahman Mahmud, Rozi Farzan, Ali |
| author_facet | Mashohor, Syamsiah Ramli, Abdul Rahman Mahmud, Rozi Farzan, Ali |
| author_sort | Mashohor, Syamsiah |
| collection | UPM |
| description | Diagnosing Alzheimer's disease through MRI neuroimaging biomarkers has been used as a complementary marker for traditional clinical markers to improve diagnostic accuracy and also help in developing new pharmacotherapeutic trials. It has been revealed that longitudinal analysis of the whole brain atrophy has the power of discriminating Alzheimer's disease and elderly normal controls. In this work, effect of involving intermediate atrophy rates and impact of using uncorrelated principal components of these features instead of original ones on discriminating normal controls and Alzheimer's disease subjects, is inspected. In fact, linear discriminative analysis of atrophy rates is used to classify subjects into Alzheimer's disease and controls. Leave-one-out cross-validation has been adopted to evaluate the generalization rate of the classifier along with its memorization. Results show that incorporating uncorrelated version of intermediate features leads to the same memorization performance as the original ones but higher generalization rate. As a conclusion, it is revealed that in a longitudinal study, using intermediate MRI scans and transferring them to an uncorrelated feature space can improve diagnostic accuracy. |
| first_indexed | 2024-03-06T07:56:12Z |
| format | Article |
| id | upm.eprints-23207 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T07:56:12Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | upm.eprints-232072015-10-16T08:39:10Z http://psasir.upm.edu.my/id/eprint/23207/ Discriminant analysis of intermediate brain atrophy rates in longitudinal diagnosis of Alzheimer's disease. Mashohor, Syamsiah Ramli, Abdul Rahman Mahmud, Rozi Farzan, Ali Diagnosing Alzheimer's disease through MRI neuroimaging biomarkers has been used as a complementary marker for traditional clinical markers to improve diagnostic accuracy and also help in developing new pharmacotherapeutic trials. It has been revealed that longitudinal analysis of the whole brain atrophy has the power of discriminating Alzheimer's disease and elderly normal controls. In this work, effect of involving intermediate atrophy rates and impact of using uncorrelated principal components of these features instead of original ones on discriminating normal controls and Alzheimer's disease subjects, is inspected. In fact, linear discriminative analysis of atrophy rates is used to classify subjects into Alzheimer's disease and controls. Leave-one-out cross-validation has been adopted to evaluate the generalization rate of the classifier along with its memorization. Results show that incorporating uncorrelated version of intermediate features leads to the same memorization performance as the original ones but higher generalization rate. As a conclusion, it is revealed that in a longitudinal study, using intermediate MRI scans and transferring them to an uncorrelated feature space can improve diagnostic accuracy. 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/23207/1/Discriminant%20analysis%20of%20intermediate%20brain%20atrophy%20rates%20in%20longitudinal%20diagnosis%20of%20Alzheimer.pdf Mashohor, Syamsiah and Ramli, Abdul Rahman and Mahmud, Rozi and Farzan, Ali (2011) Discriminant analysis of intermediate brain atrophy rates in longitudinal diagnosis of Alzheimer's disease. Diagnostic Pathology, 6 (105). pp. 1-9. ISSN 1746-1596 10.1186/1746-1596-6-105 |
| spellingShingle | Mashohor, Syamsiah Ramli, Abdul Rahman Mahmud, Rozi Farzan, Ali Discriminant analysis of intermediate brain atrophy rates in longitudinal diagnosis of Alzheimer's disease. |
| title | Discriminant analysis of intermediate brain atrophy rates in longitudinal diagnosis of Alzheimer's disease. |
| title_full | Discriminant analysis of intermediate brain atrophy rates in longitudinal diagnosis of Alzheimer's disease. |
| title_fullStr | Discriminant analysis of intermediate brain atrophy rates in longitudinal diagnosis of Alzheimer's disease. |
| title_full_unstemmed | Discriminant analysis of intermediate brain atrophy rates in longitudinal diagnosis of Alzheimer's disease. |
| title_short | Discriminant analysis of intermediate brain atrophy rates in longitudinal diagnosis of Alzheimer's disease. |
| title_sort | discriminant analysis of intermediate brain atrophy rates in longitudinal diagnosis of alzheimer s disease |
| url | http://psasir.upm.edu.my/id/eprint/23207/1/Discriminant%20analysis%20of%20intermediate%20brain%20atrophy%20rates%20in%20longitudinal%20diagnosis%20of%20Alzheimer.pdf |
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