title: Functional activity maps based on significance measures and Independent Component Analysis.
abstract: The use of functional imaging has been proven very helpful for the process of diagnosis of neurodegenerative diseases, such as Alzheimer's Disease (AD). In many cases, the analysis of these images is performed by manual reorientation and visual interpretation. Therefore, new statistical techniques to perform a more quantitative analysis are needed. In this work, a new statistical approximation to the analysis of functional images, based on significance measures and Independent Component Analysis (ICA) is presented. After the images preprocessing, voxels that allow better separation of the two classes are extracted, using significance measures such as the Mann-Whitney-Wilcoxon U-Test (MWW) and Relative Entropy (RE). After this feature selection step, the voxels vector is modelled by means of ICA, extracting a few independent components which will be used as an input to the classifier. Naive Bayes and Support Vector Machine (SVM) classifiers are used in this work. The proposed system has been applied to two different databases. A 96-subjects Single Photon Emission Computed Tomography (SPECT) database from the "Virgen de las Nieves" Hospital in Granada, Spain, and a 196-subjects Positron Emission Tomography (PET) database from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Values of accuracy up to 96.9% and 91.3% for SPECT and PET databases are achieved by the proposed system, which has yielded many benefits over methods proposed on recent works.
authors: Department of Signal Theory, Networking and Communications, 18071 University of Granada, Spain.
authors: F J
authors: FJ
authors: Martínez-Murcia
authors: J M
authors: JM
authors: Górriz
authors: J
authors: J
authors: Ramírez
authors: C G
authors: CG
authors: Puntonet
authors: I A
authors: IA
authors: Illán
mesh_terms: D000368:Aged; D000465:Algorithms; D000544:Alzheimer Disease / Q000175:diagnosis / Q000000981:diagnostic imaging; D001499:Bayes Theorem; D016208:Databases, Factual / Q000706:statistics & numerical data; D059907:Functional Neuroimaging / Q000706:statistics & numerical data*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D019636:Neurodegenerative Diseases / Q000175:diagnosis / Q000000981:diagnostic imaging; D049268:Positron-Emission Tomography / Q000706:statistics & numerical data; D025341:Principal Component Analysis; D060388:Support Vector Machine; D015899:Tomography, Emission-Computed, Single-Photon / Q000706:statistics & numerical data
references: Int Psychogeriatr. 1998 Sep;10(3):271-302
references: 9785148
references: Comput Methods Programs Biomed. 2010 Feb;97(2):114-29
references: 19570589
references: Comput Methods Programs Biomed. 2006 Jul;83(1):18-28
references: 16828919
references: J Gen Intern Med. 2002 Aug;17(8):646-9
references: 12213147
references: Neuroimage. 2007 Jan 1;34(1):177-94
references: 17070708
references: Neurology. 1994 Mar;44(3 Pt 1):454-61
references: 8145915
references: Neuroimage. 2008 Jan 1;39(1):238-47
references: 17904870
references: Comput Methods Programs Biomed. 2010 Dec;100(3):269-82
references: 20537756
references: Comput Methods Programs Biomed. 2012 Nov;108(2):644-55
references: 22088865
references: Comput Methods Programs Biomed. 2008 Jun;90(3):275-84
references: 18295367
references: IEEE Trans Neural Netw. 1999;10(3):626-34
references: 18252563
references: Neuroimage. 2008 Jan 1;39(1):181-205
references: 17919928
references: Stat Surv. 2010;4:1-39
references: 20414472
references: Neurosci Lett. 2010 Apr 19;474(1):58-62
references: 20227464
references: Neural Netw. 2000 May-Jun;13(4-5):411-30
references: 10946390
references: Am J Epidemiol. 1997 Jan 15;145(2):184-96
references: 9006315
references: Alzheimers Dement. 2012 Feb;8(1 Suppl):S1-68
references: 22047634
references: Am J Geriatr Psychiatry. 2004 Nov-Dec;12(6):554-70
references: 15545324
references: Med Phys. 2010 Nov;37(11):6084-95
references: 21158320
references: Comput Methods Programs Biomed. 1990 Mar-Apr;31(3-4):141-83
references: 2194742
references: Neurosci Lett. 2009 Aug 28;460(2):108-11
references: 19454303
references: Neuroimage. 2008 Jun;41(2):277-85
references: 18400519
references: Neuroimage. 2009 May 1;45(4):1241-52
references: 19349238
references: Comput Methods Programs Biomed. 2006 Jun;82(3):216-30
references: 16750280
references: Brain. 1999 Aug;122 ( Pt 8):1519-31
references: 10430835