Identifying spatial relationships in neural processing using a multiple classification approach

NeuroImage

Volumn 23, Issue 1, 2004, Pages 260-268

  DuBois Bowman, F ^a   Patel, Rajan ^a  

^a EMORY UNIVERSITY   (United States)

Author keywords

Aggregate classification; Clustering; Ethanol; Evaluative classification; PET; Relative information measure

Indexed keywords

ALCOHOL BLOOD LEVEL; ALGORITHM; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN FUNCTION; CLUSTER ANALYSIS; COMPUTER SIMULATION; CONTROLLED STUDY; HUMAN; METHODOLOGY; NERVE CELL NETWORK; NEUROIMAGING; PRIORITY JOURNAL; SPATIAL AUTOCORRELATION ANALYSIS; STATISTICAL ANALYSIS;

ALCOHOLIC INTOXICATION; ALGORITHMS; ATTENTION; BRAIN; BRAIN MAPPING; CLUSTER ANALYSIS; DATA COLLECTION; DOSE-RESPONSE RELATIONSHIP, DRUG; ETHANOL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MATHEMATICAL COMPUTING; NERVE NET; POSITRON-EMISSION TOMOGRAPHY; PSYCHOMOTOR PERFORMANCE; REGIONAL BLOOD FLOW; REPRODUCIBILITY OF RESULTS;

EID: 4344605036     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2004.04.022     Document Type: Article

References (37)

1. Akaike H. A new look at the statistical model identification. IEEE Trans. Autom. Control. AC-19:1974;716-723
2. Balslev D., Nielsen F.A., Frutiger S.A., Sidtis J.J., Christiansen T.B., Svarer C., Strother S.C., Rottenberg D.A., Hansen L.K., Paulson O.B., Law I. Cluster analysis of activity-time series in motor learning. Hum. Brain Mapp. 15:2002;135-145
3. Baumgartner R., Ryner L., Richter W., Summers R., Jarmasz M., Somorjai R. Comparison of two exploratory data analysis methods for fMRI: fuzzy clustering vs. principal component analysis. Magn. Reson. Imaging. 18:2000;89-94
4. Bowman F.D., Kilts C. Modeling intra-subject correlation among repeated scans in Positron Emission Tomography (PET) neuroimaging data. Hum. Brain Mapp. 20:2003;59-70
5. Bowman F.D., Patel R., Lu C. Methods for detecting functional classifications in neuroimaging data. Hum. Brain Mapp. 2004;. (in press)
6. Calinski R.B., Harabasz J. A dendrite method for cluster analysis. Commun. Stat. 3:1974;1-27
7. Cordes D., Haughton V., Carew J., Arfanakis K., Maravilla K. Hierarchical clustering to measure connectivity in fMRI resting-state data. Magn. Reson. Imaging. 20:2002;305-317
8. Duda R.O., Hart P.E. Pattern Classification and Scene Analysis. 1973;Wiley, New York
9. Fadili M.J., Ruan S., Bloyet D., Mazoyer B. A multistep unsupervised fuzzy clustering analysis of fMRI time series. Hum. Brain Mapp. 10:2000;160-178
10. Fadili M.J., Ruan S., Bloyet D., Mazoyer B. On the number of clusters and the fuzziness index for unsupervised FCA application to BOLD fMRI time series. Med. Image Anal. 5:2001;55-67
11. Filzmoser P., Baumgartner R., Moser E. A hierarchical clustering method for analyzing functional MR images. Magn. Reson. Imaging. 17(6):1999;817-826
12. Friston K.J., Frith C., Liddle P., Frackowiak R.S.J. Functional connectivity: the principal component analysis of large data sets. J. Cereb. Blood Flow Metab. 13:1993;5-14
13. Friston K.J., Holmes A.P., Poline J.B., Grasby P.J., Williams S.C.R., Frackowiak R.S.J., Turner R. Analysis of fMRI time-series revisited. NeuroImage. 2:1995;45-53
14. Frutiger S.A., Strother S.C., Anderson R., Sidtis J., Arnold J.B., Rottenberg D.A. Multivariate predictive relationship between kinematic and functional activation patterns in a PET study of visuomotor learning. NeuroImage. 12:2000;515-527
15. Goutte C., Toft P., Rostrup E., Nielsen F.A., Hansen L.K. On clustering fMRI time series. NeuroImage. 9:1999;298-310
16. Goutte C., Nielsen F.Å., Liptrot M.G., Hansen L.K. Feature-space clustering for fMRI meta-analysis. Hum. Brain Mapp. 13(3):2001;165-183
17. Hartigan J.A. Clustering Algorithms. 1975;Wiley, New York
18. Hendelman W.J. Atlas of Functional Neuroanatomy. 2000;CRC Press, New York
19. Larsen B., Aone C. Fast and effective text mining using linear-time document clustering. Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 1999;16-22 ACM Press, San Diego, CA
20. MacQueen J. Some methods for classification and analysis of multivariate observations. Le Cam L.M., Neyman J. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability. 1967;281-297 University of California Press, Berkeley, CA
21. McIntosh A.R., Bookstein F.L., Haxby J.V., Grady C.L. Spatial pattern analysis of functional brain images using partial least squares. NeuroImage. 3:1996;143-157
22. McKeown M.J., Makeig S., Brown G.G., Jung T.-P., Kindermann S.S., Bell A.J., Sejnowski T.J. Analysis of fMRI data by blind separation into independent spatial components. Hum. Brain Mapp. 6:1998;160-188
23. Milligan G.W., Cooper M.C. An examination of procedures for determining the number of clusters in a data set. Psychometrika. 50(2):1985;159-179
24. Ramsay J.O., Silverman B.W. Functional Data Analysis. 1997;Springer, New York
25. Rencher A. Methods of Multivariate Analysis. second ed.:2002;Wiley Inc., New York
26. Ripley B.D. Pattern Recognition and Neural Networks. 1996;Cambridge Univ. Press, Cambridge, MA
27. Sarle W.S. Cubic Clustering Criterion, SAS Technical Report A-108. 1983;SAS Institute Inc., Cary, NC
28. Schwarz G. Estimating the dimension of a model. Ann. Stat. 6:1978;461-464
29. Somorjai R.L., Jarmasz M. Exploratory analysis of fMRI data by fuzzy clustering - philosophy, strategy, tactics, and implementation. Sommer F.T., Wichert A. Exploratory Analysis and Data Modeling in Functional Neuroimaging. 2003;17-48 The MIT Press, Cambridge, MA
30. Stanberry L., Nandy R., Cordes D. Cluster analysis of fMRI data using dendrogram sharpening. Hum. Brain Mapp. 20:2003;201-219
31. Stuetzle W. Estimating the cluster tree of a density by analyzing the minimal spanning tree of a sample. J. Classif. 20:2003;25-47
32. Talairach J., Tournoux P. Co-Planar Stereotaxic Atlas of the Human Brain. 1988;Thieme Medical Publishers Inc, New York
33. Thireou T., Strauss L., Kontaxakis G., Pavlopoulos S., Santos A. Principal component analysis in dynamic positron emission tomography. Span. Conf. Biomed. Eng. 2001;241-243
34. Wong M.A., Lane T. A kth nearest neighbor clustering procedure. J. Royal Stat. Soc. Ser. B. 45:1983;362-368
35. Woods R.P., Grafton S.T., Holmes C.J., Cherry S.R., Mazziotta J.C. Automated image registration: I. General methods and intrasubject, intramodality validation. J. Comput. Assist. Tomogr. 22:1998;139-152
36. Woods R.P., Grafton S.T., Watson J.D.G., Sicotte N.L., Mazziotta J.C. Automated image registration: II. Intersubject validation of linear and nonlinear models. J. Comput. Assist. Tomogr. 22:1998;153-165
37. Worsley K.J., Friston K.J. Analysis of fMRI time-series revisited - again. NeuroImage. 2:1995;173-181