Statistical Analysis of fMRI Data

Hall C
Tuesday: 13:30 – 15:30

837.  Entropy-Based Detection of BOLD Functional Activation in the Human Brain, R.T. Kneusel and R.W. Cox, Medical College of Wisconsin, Milwaukee, WI, USA.
838.  Use of Jackknife Resampling Techniques to Estimate the Confidence Intervals of fMRI Parameters, B.B. Biswal, P.A. Taylor and J.L. Ulmer, Medical College of Wisconsin, Milwaukee, WI, USA.
839.  Caveat Correlator: The Limited Selectivity of Cross-Correlation-Based Methods in fMRI, R. Baumgartner, R. Somorjai, R. Summers, L. Ryner and W. Richter, National Research Council Canada, Winnipeg, Manitoba, Canada.
840.  Bayesian Approach to Edge Preserving fMRI Restoration, S.J. Kisner, J.L. Ulmer and T.M. Talavage, Purdue University, West Lafayette, IN, USA and Medical College of Wisconsin, Milwaukee, WI, USA.
841.  Validating Clusters in fMRI Data, Derived by Fuzzy Clustering Analysis: A Supervised Approach, R. Somorjai, B. Dolenko, R. Baumgartner and M. Jarmasz, National Research Council Canada, Winnipeg, Manitoba, Canada.
842.  Temporal De-Noising of MR Image Sequences Using Wavelet Domain Filters, M.E. Alexander, R. Baumgartner, M. Klarhoefer, E. Moser and R.L. Somorjai, National Research Council Canada, Winnipeg, Manitoba, Canada and University of Vienna, Vienna, Austria.
843.  fMRI Signal Modeling Using System Identification Techniques, L.T. Muftuler and O. Nalcioglu, University of California, Irvine, CA, USA.
844.  Signal Separation of fMRI Data by Independent Component Analysis, K. Matsuo, S. Muraki, T. Okada, T. Moriya and T. Nakai, MITI, Tsukuba, Japan and National Institute for Physiological Sciences, Okazaki, Japan.
845.  A New Correlation Analysis Using Direct Force Output in Motor Stimulation fMRI Studies, K.K. Peck, J. Newton, A. Sunderland, S. Butterworth, A. Peters, R.W. Bowtell and P.A. Gowland, Nottingham City Hospital and University of Nottingham, Nottingham, UK.
846.  Biasless: Detecting Brain Activation in fMRI Data Without Prior Knowledge of Mental Event Timing, D.N. Levin and S.J. Uftring, University of Chicago, Chicago, IL, USA.
847.  Using Image Entropy to Select Meaningful Spatial Maps in Independent Component Analysis, T.T. Liu, K.L. Miller, E.C. Wong, L.R. Frank and R.B. Buxton, University of California, San Diego, CA, USA and Stanford University, Stanford, CA, USA.
848.  Comparison of Functional MRI Image Realignment Tools Using a Computer Generated Phantom, V.L. Morgan, D.R. Pickens, S.L. Hartmann and R.R. Price, Vanderbilt University, Nashville, TN, USA.
849.  Two-Way ANOVA for Nonparametric Analysis of Event Related fMRI Data, W.F. Auffermann, S-C. Ngan, S. Sarkar, E. Yacoub and X. Hu, University of Minnesota Medical School, Minneapolis, MN, USA.
850.  Performance Comparison of Novelty Indices Used in Blind Source Separation for Preprocessing fMRI Time Series, R. Summers, R. Baumgartner, R. Somorjai, L. Ryner and W. Richter, National Research Council Canada, Winnipeg, Manitoba, Canada.
851.  Detection of Visual Attention Using Partial Least Squares (PLS) Analysis of fMRI Data, F-H. Lin, A.R. McIntosh, G. Strangman, G. Bonmassar, G.V. Simpson and J.W. Belliveau, Massachusetts General Hospital and Harvard-MIT Division of Health Sciences and Technology, Boston, MA, USA; University of Toronto, Toronto, Ontario, Canada and Albert Einstein College of Medicine, Bronx, NY, USA.
852.  Independent Component Analysis of Simultaneous fMRI Motor Tasks, J. Carew, C. Moritz, V. Haughton, P. Turski, D. Cordes and M.E. Meyerand, University of Wisconsin, Madison, WI, USA.
853.  Wavelet Transform Based Wiener Filtering of Event-Related fMRI Data, S.M. LaConte, S-C. Ngan and X. Hu, University of Minnesota, Minneapolis, MN, USA.
854.  An Experimental Method to Calculate Type II Errors in Statistical Analysis of fMRI Signals, L.T. Muftuler and O. Nalcioglu, University of California, Irvine, CA, USA.

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