Dynamical cluster analysis of cortical fMRI activation

NeuroImage

Volumn 9, Issue 5, 1999, Pages 477-489

  Baune, Axel ^a,b   Sommer, Friedrich T ^b   Erb, Michael ^a   Wildgruber, Dirk ^a   Kardatzki, Bernd ^a   Palm, Günther ^b   Grodd, Wolfgang ^a  

^a UNIVERSITY OF TÜBINGEN   (Germany)

^b UNIVERSITY OF ULM   (Germany)

Author keywords

Cluster analysis; Evaluation methods; Functional MRI; Motor system

Indexed keywords

ALGORITHM; ARTICLE; BRAIN MAPPING; BRAIN OXYGEN CONSUMPTION; CLUSTER ANALYSIS; CONTROLLED STUDY; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; VOLUNTARY MOVEMENT;

EID: 0032804521     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1006/nimg.1999.0429     Document Type: Article

References (40)

1. Bandettini P. A., Jesmanowicz A., Wong E. C., Hyde J. S. Processing strategies for time-course data sets in functional MRI of the human brain. Magn. Reson. Med. 30:1993;161-173.
2. Bandettini P. A., Wong E. C., Binder J. R., Rao S. M., Jesmanowicz A., Aaron E. A., Lowry T. F., Forster H. V., Hinks R. S., Hyde J. S. Functional MR imaging using the BOLD approach: Dynamic characteristics and data analysis methods. Diffusion and Perfusion Magnetic Resonance Imaging. 1995a;Raven Press, New York. p. 335-349.
3. Bandettini P. A., Binder J. R., DeYoe E. A., Rao S. M., Jesmanowicz A., Hammeke T. A., Haughton V. M., Wong E. C., Hyde J. S. Functional MR imaging using the BOLD approach: Applications. Le Bihan D. Diffusion and Perfusion Magnetic Resonance Imaging. 1995b;335-349 Raven Press, New York.
4. Baumgartner R., Scarth G., Teichtmeister C., Somorjai R., Moser E. Fuzzy clustering of gradient-echo functional MRI in the human visual cortex. I. Reproducibility. J. Magn. Reson. Imag. 7:1997;1094-1101.
5. Baumgartner R., Windischberger C., Moser E. Quantification in functional magnetic resonance imaging: Fuzzy clustering vs. correlation analysis. Magn. Reson. Imag. 16:1998;115-125.
6. Le Bihan D., Jezzard P., Turner R., Cuenod C. A., Pannier L., Prinster A. Problems and limitations in using Z-maps for processing of brain function MR images. SMR, Book of Abstracts. 1993;11.
7. Binder J. R., Jesmanowicz A., Rao S. M., Bandettini P. A., Hammeke T. A., Hyde J. S. Analysis of phase differences in periodic functtional MRI activation data. Proceeding of the Society of Magnetic Resonance in Medicine, 12th Annual Scientific Meeting, New York. 1993;. p. 1383.
8. Buckner R. L., Bandettini P. A., O'Craven K. M., Savoy R. L., Petersen S. E., Raichle M. E., Rosen B. R. Detection of cortical activation during averaged single trials of a cognitive task using functional magnetic resonance imaging. Proc. Natl. Acad. Sci. USA. 93:1996;14878-14883.
9. Cohen M. S., Bookheimer S. Y. Localisation of brain function using magnetic resonance imaging. TINS. 17:1994;268-277.
10. Crawley A. P., Wood M. L., Mikulis D. J. Evaluation of data processing methods for fMRI. SMR/ESMREMB, Book of Abstracts. 1995;819.
11. Ding X., Tkach J., Ruggieri P., Masaryk T. Analysis of time-course functional MRI data with clustering method without use of reference signal. Proceedings of the International Society for Magnetic Resonance, 2nd Meeting, San Francisco, California. 1994;. p. 630.
12. Duda R., Hart P. Pattern Classification and Scene Analysis. 1973;Wiley, New York.
13. Forman S. D., Cohen J. D., Fitzgerald M., Eddy W. F. Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): Use of acluster-size threshold. Magn. Reson. Med. 33:1995;636-647.
14. Friston K. J., Firth C. D., Liddle P. F., Frackowiak R. S. J. Functional connectivity: The principal component analysis of large (PET) data sets. J. Cereb. Blood Flow Metab. 13:1993;5-14.
15. Gerloff C., Grodd W., Altenmüller E., Kolb R., Naegele T., Klose U., Voigt K., Dichgans J. Coregistration of EEG and fMRI in a simple motor task. Hum. Brain Map. 4:1996;199-209.
16. Haykins S. Neural Networks - A Comprehensive Foundation. 1994;Macmillan Co. New York.
17. Jain A., Dubes R. Algorithms for Clustering Data. 1988;Prentice Hall, Englewood Cliffs.
18. Jarmasz M., Somorjai R. L. Time to join! Cluster-merging in unsupervised fuzzy clustering of functional MRI data. Proceedings of the International Society for Magnetic Resonance in Medicine, 6th Scientific Meeting and Exhibition, Sydney. 1998;. p. 2068.
19. Kim S.-G., Richter W., U g̀ K. Limitations of temporal resolution in functional MRI. Magn. Reson. Med. 37:1997;631-636.
20. Lee A. T., Glover G. H., Meyer C. H. Discrimination of large venous vessels in time-course spiral blood-oxygen-level-dependent magnetic-resonance functional neuroimaging. Magn. Reson. Med. 33:1995;745-754.
21. 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 independant spatial components. Hum. Brain Map. 6:1998;160-188.
22. Menon R. S., Luknowsky D. C., Gati J. S. Mental chronometry using latency-resolved functional MRI. Proc. Natl. Acad. Sci. USA. 95:1998;10902-10907.
23. Moser E., Diemling M., Baumgartner R. Fuzzy clustering of gradient-echo functional MRI in the human visual cortex. II. Quantification. J. Magn. Reson. Imag. 7:1997;1102-1108.
24. Neafsey E. J., Hull C. D., Buchwald N. A. Preparation for movement in the cat. I. Unit activity in the cerebral cortex. Electroencephalogr. Clin. Neuropysiol. 44:1978;706-713.
25. Ogawa S., Lee T. M., Kay A. R., Tank D. W. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc. Natl. Acad. Sci. USA. 87:1990;9868-9872.
26. Okano K., Tanji J. Neuronal activities in the primate motor fields of the agranular frontal cortex preceding visually triggered and self-paced movement. Exp. Brain Res. 66:1987;155-166.
27. Palm, G. Schwenker, F. 1996, Adaptive analysis and visualisation in high dimensional data spaces. Cybernet. Syst. '96, Vienna, Austria, 2, 1009, 1013.
28. Rademacher J., Galaburda A. M., Kennedy D. N., Filipek P. A., Caviness V. S. Human cerebral cortex: Localization, parcellation, and morphometry with magnetic resonance imaging. J. Cogn. Neurosci. 4:1992;352-374.
29. Richter W., Andersen P. M., Georgopoulos A. P., Kim S.-G. Sequential activity in human motor areas during a delayed cued finger movement task studied by time-resolved fMRI. NeuroReport. 8:1997;1257-1261.
30. Schnell R. Graphisch gestützte Datenanalyse. 1994;R. Oldenbourg Verlag, München/Wien.
31. Schwenker F., He J., Kestler H., Littmann E., Schieszl S., Palm G. Anwendungen neuronaler Netze. Bol G., Nakhaeizadeh G., Vollmer K. H. Finanzmarktanalyse und -prognose mit innovativen Verfahren. 1996;35-69 Physica-Verlag, Heidelberg.
32. Somorjai R. L., Dolenko B., Scarth G., Summers R. How different are the clusters in fMRI? - A multivariate statistical assessmentt using profile analysis. Proceedings of the International Society for Magnetic Resonance in Medicine, 5th Scientific Meeting and Exhibition, Vancouver, B.C. 1997;. p. 354.
33. Strother S. C., Kanno I., Rottenberg D. A. Principal component analysis, variance partitioning, and "functional connectivity." J. Cereb. Blood Flow Metab. 15:1995;353-360.
34. Thaler D. E., Rolls E. T., Passingham R. E. Neuronal activity of the supplementary motor area (SMA) during internally and externaly triggered wrist movement. Neurosci. Lett. 93:1988;264-269.
35. Toft P., Hansen L. K., Nielsen F., Strother S. C., Lange N., Mørch N., Svarer C., Paulson O. B., Savoy R., Rosen B., Rostrup E., Born P. On clustering of FMRI time series. Third International Conference on Functional Mapping of the Human Brain, Copenhagen. 1997;. p. 456.
36. Wildgruber D., Erb M., Klose U., Grodd W. Sequential activation of supplementary motor area and primary motor cortex during self-paced finger movement in human evaluated by functional MRI. Neurosci. Lett. 227:1997;1-4.
37. Worsley K. J., Evans A. C., Marrett S., Neelin P. A three-dimensional statistical analysis for CBF - Activation studies in human brain. J. Cereb. Blood Flow Metab. 12:1992;900-918.
38. Wu D., Lewin J. S. Evaluation of non-parametric statistical measurements and data clustering for functional MR data analysis. SMR, Book of Abstracts. 1994;629.
39. Xiong J., Gao J.-H., Lancaster J. L., Fox P. T. Comparison of common statistics used for functional MRI data analysis. SMR/ESMREMB, Book of Abstracts. 1995a;827.
40. Xiong J., Gao J.-H., Lancaster J. L., Fox P. T. Clustered pixel analysis for functional MRI activation studies of the human brain. Hum. Brain Map. 3:1995b;287-301.