Scaled subprofile modeling of resting state imaging data in Parkinson's disease: Methodological issues

NeuroImage

Volumn 54, Issue 4, 2011, Pages 2899-2914

  Spetsieris, Phoebe G ^a   Eidelberg, David ^a  

^a FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH   (United States)

Author keywords

Brain imaging; Global normalization; Multivariate spatial covariance analysis; Parkinson's disease; Positron Emission Tomography; Principal Component Analysis

Indexed keywords

ADULT; AGED; ARTICLE; BRAIN METABOLISM; CEREBELLUM; CONTROLLED STUDY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; METABOLIC RATE; PARKINSON DISEASE; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; REST; STATISTICAL MODEL;

AGED; BRAIN; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MIDDLE AGED; MODELS, STATISTICAL; PARKINSON DISEASE; POSITRON-EMISSION TOMOGRAPHY; PRINCIPAL COMPONENT ANALYSIS; REST;

EID: 78650958266     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.10.025     Document Type: Article

References (48)

1. Abdi H. Bonferroni and Sidak Corrections for Multiple Comparisons 2007, Sage, Thousand Oaks, CA.
2. Akaike H. A new look at the statistical model identification. IEEE Trans. Autom. Control 1974, 19:716-723.
3. Alexander G.E., Moeller J.R. Application of the scaled subprofile model to functional imaging in neuropsychiatric disorders: a principal component approach to modeling brain function in disease. Hum. Brain Mapp. 1994, 2:1-16.
4. Asanuma K., Ma Y., Huang C., Carbon-Correll M., Edwards C., Raymond D., Bressman S.B., Moeller J.R., Eidelberg D. The metabolic pathology of dopa-responsive dystonia. Ann. Neurol. 2005, 57:596-600.
5. Asanuma K., Tang C., Ma Y., Dhawan V., Mattis P., Edwards C., Kaplitt M.G., Feigin A., Eidelberg D. Network modulation in the treatment of Parkinson's disease. Brain 2006, 129:2667-2678.
6. Borghammer P., Jonsdottir K.Y., Cumming P., Ostergaard K., Vang K., Ashkanian M., Vafaee M., Iversen P., Gjedde A. Normalization in PET group comparison studies - the importance of a valid reference region. Neuroimage 2008, 40:529-540.
7. Borghammer P., Cumming P., Aanerud J., Gjedde A. Artefactual subcortical hyperperfusion in PET studies normalized to global mean: lessons from Parkinson's disease. Neuroimage 2009, 45:249-257.
8. Borghammer P., Chakravarty M., Jonsdottir K.Y., Sato N., Matsuda H., Ito K., Arahata Y., Kato T., Gjedde A. Cortical hypometabolism and hypoperfusion in Parkinson's disease is extensive: probably even at early disease stages. Brain Struct. Funct. 2010, 214:303-317.
9. Cadima J., Jolliffe I. On relationships between uncentered and column-centred principal component analysis. Pak. J. Stat. 2009, 25:473-503.
10. Cattell R.B. The scree test for the number of factors. Multiv. Behav. Res. 1966, 1:245-276.
11. Eckert T., Barnes A., Dhawan V., Frucht S., Gordon M.F., Feigin A.S., Eidelberg D. FDG PET in the differential diagnosis of parkinsonian disorders. Neuroimage 2005, 26:912-921.
12. Eckert T., Van Laere K., Tang C., Lewis D.E., Edwards C., Santens P., Eidelberg D. Quantification of Parkinson's disease-related network expression with ECD SPECT. Eur. J. Nucl. Med. Mol. Imaging 2007, 34:496-501.
13. Eckert T., Tang C., Ma Y., Brown N., Lin T., Frucht S., Feigin A., Eidelberg D. Abnormal metabolic networks in atypical parkinsonism. Mov. Disord. 2008, 23:727-733.
14. Eidelberg D. Metabolic brain networks in neurodegenerative disorders: a functional imaging approach. Trends Neurosci. 2009, 32:548-557.
15. Eidelberg D., Moeller J.R., Dhawan V., Spetsieris P., Takikawa S., Ishikawa T., Chaly T., Robeson W., Margouleff D., Przedborski S., et al. The metabolic topography of parkinsonism. J. Cereb. Blood Flow Metab. 1994, 14:783-801.
16. Eidelberg D., Moeller J.R., Ishikawa T., Dhawan V., Spetsieris P., Chaly T., Robeson W., Dahl J.R., Margouleff D. Assessment of disease severity in parkinsonism with fluorine-18-fluorodeoxyglucose and PET. J. Nucl. Med. 1995, 36:378-383.
17. Feigin A., Antonini A., Fukuda M., De Notaris R., Benti R., Pezzoli G., Mentis M.J., Moeller J.R., Eidelberg D. Tc-99m ethylene cysteinate dimer SPECT in the differential diagnosis of parkinsonism. Mov. Disord. 2002, 17:1265-1270.
18. Feigin A., Kaplitt M.G., Tang C., Lin T., Mattis P., Dhawan V., During M.J., Eidelberg D. Modulation of metabolic brain networks after subthalamic gene therapy for Parkinson's disease. Proc. Natl Acad. Sci. USA 2007, 104:19559-19564.
19. Feigin A., Tang C., Ma Y., Mattis P., Zgaljardic D., Guttman M., Paulsen J.S., Dhawan V., Eidelberg D. Thalamic metabolism and symptom onset in preclinical Huntington's disease. Brain 2007, 130:2858-2867.
20. Friston K.J., Holmes A.P., Worsley K.J., Poline J.-P., Frith C.D., Frackowiak R.S.J. Statistical parametric maps in functional imaging: a general linear approach. Hum. Brain Mapp. 1995, 2:189-210.
21. Gwadry F., Berenstein C., Horn J.V., Braun A. Implementation and Application of Principal Component Analysis on Functional Neuroimaging Data: Institute for Systems Research Technical Reports 2001, 1-27.
22. Habeck C., Foster N.L., Perneczky R., Kurz A., Alexopoulos P., Koeppe R.A., Drzezga A., Stern Y. Multivariate and univariate neuroimaging biomarkers of Alzheimer's disease. Neuroimage 2008, 40:1503-1515.
23. Hastie T., Tibshirani R., Friedman J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction 2001, Springer, New York.
24. Hirano S., Asanuma K., Ma Y., Tang C., Feigin A., Dhawan V., Carbon M., Eidelberg D. Dissociation of metabolic and neurovascular responses to levodopa in the treatment of Parkinson's disease. J. Neurosci. 2008, 28:4201-4209.
25. Ma Y., Huang C., Dyke J.P., Pan H., Feigin A., Eidelberg D. Parkinson's disease spatial covariance pattern: non-invasive quantification with perfusion MRI. J. Cereb. Blood Flow Metab. 2010, 30(3):505-509.
26. Huang C., Mattis P., Tang C., Perrine K., Carbon M., Eidelberg D. Metabolic brain networks associated with cognitive function in Parkinson's disease. Neuroimage 2007, 34:714-723.
27. Huang C., Tang C., Feigin A., Lesser M., Ma Y., Pourfar M., Dhawan V., Eidelberg D. Changes in network activity with the progression of Parkinson's disease. Brain 2007, 130:1834-1846.
28. Huang C., Mattis P., Perrine K., Brown N., Dhawan V., Eidelberg D. Metabolic abnormalities associated with mild cognitive impairment in Parkinson disease. Neurology 2008, 70:1470-1477.
29. Joliffe I.T. Principal Components Analysis, 2nd edition, Springer Series in Statistics 2002, Springer-Verlag, New York.
30. Kazmierczak J.B. Analyse logarithmique deux examples d'application. Rev. Stat. Appl. 1985, 33:13-24.
31. Lin T.P., Carbon M., Tang C., Mogilner A.Y., Sterio D., Beric A., Dhawan V., Eidelberg D. Metabolic correlates of subthalamic nucleus activity in Parkinson's disease. Brain 2008, 131:1373-1380.
32. Ma Y., Tang C., Spetsieris P.G., Dhawan V., Eidelberg D. Abnormal metabolic network activity in Parkinson's disease: test-retest reproducibility. J. Cereb. Blood Flow Metab. 2007, 27:597-605.
33. Ma Y., Tang C., Moeller J.R., Eidelberg D. Abnormal regional brain function in Parkinson's disease: truth or fiction?. Neuroimage 2009, 45:260-266.
34. Miranda A.A., Le Borgne Y.-A., Bontempi G. New routes from minimal approximation error to principal components. Neural Process. Lett. 2008, 27:197-207.
35. Moeller J.R., Eidelberg D. Divergent expression of regional metabolic topographies in Parkinson's disease and normal ageing. Brain 1997, 120(Pt 12):2197-2206.
36. Moeller J.R., Strother S.C. A regional covariance approach to the analysis of functional patterns in positron emission tomographic data. J. Cereb. Blood Flow Metab. 1991, 11:A121-A135.
37. Moeller J.R., Nakamura T., Mentis M.J., Dhawan V., Spetsieres P., Antonini A., Missimer J., Leenders K.L., Eidelberg D. Reproducibility of regional metabolic covariance patterns: comparison of four populations. J. Nucl. Med. 1999, 40:1264-1269.
38. Mosconi L., Tsui W.H., Herholz K., Pupi A., Drzezga A., Lucignani G., Reiman E.M., Holthoff V., Kalbe E., Sorbi S., Diehl-Schmid J., Perneczky R., Clerici F., Caselli R., Beuthien-Baumann B., Kurz A., Minoshima S., de Leon M.J. Multicenter standardized 18F-FDG PET diagnosis of mild cognitive impairment, Alzheimer's disease, and other dementias. J. Nucl. Med. 2008, 49:390-398.
39. Petersson K.M., Nichols T.E., Poline J.B., Holmes A.P. Statistical limitations in functional neuroimaging. I. Non-inferential methods and statistical models. Philos. Trans. R. Soc. Lond. B Biol. Sci. 1999, 354:1239-1260.
40. Poston K.L., Eidelberg D. Network biomarkers for the diagnosis and treatment of movement disorders. Neurobiol. Dis. 2009, 35:141-147.
41. Rencher A.C. Methods of Multivariate Analysis 1995, Wiley-Interscience, New York. 2nd edition.
42. Spetsieris, P., Ma, Y., Dhawan, V., Moeller, J.R., Eidelberg, D., 2006. Highly automated computer-aided diagnosis of neurological disorders using functional brain imaging. Proc SPIE: Medical Imaging 6144, 61445M61441-61412.
43. Spetsieris P.G., Ma Y., Dhawan V., Eidelberg D. Differential diagnosis of parkinsonian syndromes using PCA-based functional imaging features. Neuroimage 2009, 45:1241-1252.
44. Spetsieris P., Dhawan V., Eidelberg D. Three-fold cross-validation of parkinsonian brain patterns. Proc 32nd Ann Int Conf of the IEEE EMBS 2010, 2906-2909.
45. Tang C.C., Poston K.L., Dhawan V., Eidelberg D. Abnormalities in metabolic network activity precede the onset of motor symptoms in Parkinson's disease. J. Neurosci. 2010, 30:1049-1056.
46. Tang C.C., Poston K.L., Eckert T., Feigin A., Frucht S., Gudesblatt M., Dhawan V., Lesser M., Vonsattel J.P., Fahn S., Eidelberg D. Differential diagnosis of parkinsonism: a metabolic imaging study using pattern analysis. Lancet Neurol. 2010, 9:149-158.
47. Tolosa E., Wenning G., Poewe W. The diagnosis of Parkinson's disease. Lancet Neurol. 2006, 5:75-86.
48. Trost M., Su S., Su P., Yen R.F., Tseng H.M., Barnes A., Ma Y., Eidelberg D. Network modulation by the subthalamic nucleus in the treatment of Parkinson's disease. Neuroimage 2006, 31:301-307.