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Group Factor Analysis for Alzheimer’s Disease
Joint Authors
Liou, Michelle
Cheng, Philip E.
Cheng, Wei-Chen
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-05
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
For any neuroimaging study in an institute, brain images are normally acquired from healthy controls and patients using a single track of protocol.
Traditionally, the factor analysis procedure analyzes image data for healthy controls and patients either together or separately.
The former unifies the factor pattern across subjects and the latter deals with measurement errors individually.
This paper proposes a group factor analysis model for neuroimaging applications by assigning separate factor patterns to control and patient groups.
The clinical diagnosis information is used for categorizing subjects into groups in the analysis procedure.
The proposed method allows different groups of subjects to share a common covariance matrix of measurement errors.
The empirical results show that the proposed method provides more reasonable factor scores and patterns and is more suitable for medical research based on image data as compared with the conventional factor analysis model.
American Psychological Association (APA)
Cheng, Wei-Chen& Cheng, Philip E.& Liou, Michelle. 2013. Group Factor Analysis for Alzheimer’s Disease. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-471471
Modern Language Association (MLA)
Cheng, Wei-Chen…[et al.]. Group Factor Analysis for Alzheimer’s Disease. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-471471
American Medical Association (AMA)
Cheng, Wei-Chen& Cheng, Philip E.& Liou, Michelle. Group Factor Analysis for Alzheimer’s Disease. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-471471
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-471471