Multimodal EEG, MRI and PET data fusion for Alzheimer's disease diagnosis

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 6058-6061

  Polikar, Robi ^a   Tilley, Christopher ^a   Hillis, Brendan ^a   Clark, Chris M ^b  

^a Rowan University   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURATE ANALYSIS; AGING POPULATION; ALZHEIMER'S DISEASE; AUTOMATED CLASSIFIERS; CLASSIFICATION PERFORMANCE; DATA SOURCE; DECISION FUSION; DIAGNOSTIC ACCURACY; DIAGNOSTIC PROCEDURE; EARLY DIAGNOSIS; EEG ANALYSIS; ENSEMBLE OF CLASSIFIERS; FIRST LOOK; GOLD STANDARDS; MEDICAL TREATMENT; METABOLIC ACTIVITY; MULTI-MODAL; NEUROPSYCHOLOGICAL; PET DATA; PUBLIC HEALTH;

CLASSIFIERS; DATA FUSION; DEVELOPING COUNTRIES; DISEASES; INFORMATION FUSION; VOLUMETRIC ANALYSIS;

DIAGNOSIS;

AGED; ALZHEIMER DISEASE; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; DECISION SUPPORT SYSTEM; ELECTRODE; ELECTROENCEPHALOGRAPHY; FEMALE; HUMAN; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; POSITRON EMISSION TOMOGRAPHY; SCINTISCANNING;

AGED; ALZHEIMER DISEASE; DECISION SUPPORT SYSTEMS, CLINICAL; ELECTRODES; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; POSITRON-EMISSION TOMOGRAPHY;

EID: 78650821469     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5627621     Document Type: Conference Paper

References (20)

1. Alzheimer's Assoc., "2009 Alzheimer's disease facts and figures," Alzheimer's and Dementia, vol. 5, no. 3, pp. 234-270, 2009.
2. A. Lim, et al., "Clinico-neuropathological correlation of Alzheimer's disease in a community-based case series," J Am Geriatr Soc, vol. 47, no. 5, pp. 564-569, May1999.
3. C. M. Clark, et al., "Biomarkers for Early Detection of Alzheimer Pathology," Neurosignals, vol. 16, no. 1, pp. 11-18, 2008.
4. J. Polich, C. Ladish, and F. E. Bloom, "P300 assessment of early Alzheimer's disease," Electroencephalogr. Clin. Neurophysiol., vol. 77, no. 3, pp. 179-189, May1990.
5. S. Yamaguchi, et al., "Event-related brain potentials in response to novel sounds in dementia," Clinical Neurophysiology, vol. 111, no. 2, pp. 195-203, Feb.2000.
6. D. J. Linden, "The 300: where in the brain is it produced and what does it tell us?," Neuroscientist, vol. 11, no. 6, pp. 563-576, 2005.
7. M. Lindau, et al., "Quantitative EEG abnormalities and cognitive dysfunctions in frontotemporal dementia and Alzheimer's disease," Dement. Geriatr. Cogn Disord., vol. 15, no. 2, pp. 106-114, 2003.
8. A. A. Petrosian, D. V. Prokhorov, W. Lajara-Nanson, and R. B. Schiffer, "Recurrent neural network-based approach for early recognition of Alzheimer's disease in EEG," Clin. Neurophysiol., vol. 112, no. 8, pp. 1378-1387, Aug.2001.
9. M. Karrasch, et al., "Brain oscillatory responses to an auditory-verbal working memory task in mild cognitive impairment and Alzheimer's disease," International Journal of Psychophysiology, vol. 59, no. 2, pp. 168-178, Feb.2006.
10. R. Polikar, A. Topalis, D. Parikh, D. Green, J. Frymiare, J. Kounios, and C. M. Clark, "An ensemble based data fusion approach for early diagnosis of Alzheimer's disease," Information Fusion, vol. 9, no. 1, pp. 83-95, Jan.2008.
11. R. Polikar, A. Topalis, D. Green, J. Kounios, and C. M. Clark, "Comparative multiresolution wavelet analysis of ERP spectral bands using an ensemble of classifiers approach for early diagnosis of Alzheimer's disease," Computers in Biology and Medicine, vol. 37, no. 4, pp. 542-558, Apr.2007.
12. K. B. Walhovd, et al. "Combining MR Imaging, Positron-Emission Tomography, and CSF Biomarkers in the Diagnosis and Prognosis of Alzheimer Disease," AJNR Am J Neuroradiol, vol. 31, no. 2, pp. 347-354, Feb.2010.
13. G. McKhann, et al., "Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease," Neurology, vol. 34, no. 7, pp. 939-944, 1984.
14. G. Jacques, J. L. Frymiare, J. Kounios, C. Clark, and R. Polikar, "Multiresolution analysis for early diagnosis of Alzheimer's disease," IEEE Engineering in Medicine and Biology Conference (EMBC 2004), vol. 1, pp. 251-254, 2004. (Pubitemid 40043828)
15. T. Liu, D. Shen, and C. Davatzikos, "Deformable registration of cortical structures via hybrid volumetric and surface warping," NeuroImage, vol. 22, no. 4, pp. 1790-1801, Aug.2004.
16. R. Petersen and M. W. Weiner, "ADNI Protocol," 2005.
17. S. Minoshima, et al., "A Diagnostic Approach in Alzheimer's Disease Using Three-Dimensional Stereotactic Surface Projections of Fluorine-18-FDG PET," J Nucl Med, vol. 36, no. 7, pp. 1238-1248, 1995.
18. N. L. Foster, et al., "FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer's disease," Brain, vol. 130, no. 10, pp. 2616-2635, Oct.2007.
19. S. Minoshima and D. Cross, "Neurostat/3D -SSP," Available at: http://128.95.65.28/~Download/. Last access:06/24/2010, 2008.
20. D. Parikh and R. Polikar, "An Ensemble Based Incremental Learning Approach to Data Fusion," IEEE Transactions on Systems, Man and Cybernetics, Part B, vol. 37, no. 2, pp. 437-450, 2007. (Pubitemid 46523231)