fMRI Techniques: Processing & Analysis

Hall C
Monday: 14:00 – 16:00
Tuesday – Thursday: 13:30 – 15:30

Th 1699. Improving Detection of Brain Activation by Measuring Subject- and Cortex-Specific Impulse Response, S. Lai, G.H. Glover, R. Benson, V.P. Clark, S. Fannon, J. Lackey and G. Ramsby, University of Connecticut Health Center, Farmington, CT, USA and Stanford University, Stanford, CA, USA.
M 1700. Measure of Agreement Between Two fMRI Trials Using the Kappa Statistic, S.M. Bragg-Sitton, E.F. Jackson and D.A. Johnston, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.
T 1701. An Improved Metric for Analyzing fMRI Time Courses Based on Wavelet Transform, S-C. Ngan, X. Shao, V. Cherkassky and X. Hu, University of Minnesota, Minneapolis, MN, USA.
W 1702. Three Dimensional Bayesian Processing of Spatiotemporal fMRI Data, T. Kim, L. Al-Dayeh and M. Singh, University of Southern California, Los Angeles, CA, USA.
Th 1703. Model Comparison for fMRI Data Analysis, P.L. Purdon, V. Solo, R.M. Weisskoff and E. Brown, Massachusetts General Hospital, Charlestown, MA, USA; Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA and Macquarie University, Sydney, NSW, Australia.
M 1704. Linear Model Identification in fMRI, B.A. Ardekani, K. Kashikura, A. Kashikura and I. Kanno, Research Institute for Brain and Blood Vessels, Akita, Japan.
T 1705. Spatial Distribution of Low Frequency Noise in fMRI, T.E. Lund and H.B.W. Larsson, Hvidovre Hospital, Copenhagen, Denmark.
W 1706. Resting-State Functional Connectivity Study using Independent Component Analysis, D. Cordes, J. Carew, H. Eghbalnia, E. Meyerand, M. Quigley, K. Arfanakis, A. Assadi, P.A. Turski and V. Haugthon, University of Wisconsin, Madison, WI, USA.
Th 1707. fMRI Data Reduction and Signficance Testing Without A Priori Information, M.A. Griswold, R.R. Edelman and B.O.M. Bly, Beth Israel Deaconess Medical Center, Boston, MA, USA and Rutgers University, Newark, NJ, USA.
M 1708. Sensitivity-Enhancement for fMRI by Reference-Vector Optimization, D. Gembris, J.G. Taylor, W. Frings, S. Goebels, S. Schor, S. Posse, V.G. Kiselev, S. Wiese, N.J. Shah and D. Suter, Research Center Jülich GmbH, Jülich, Germany; Kings College, London, UK and University of Dortmund, Germany.
T 1709. Crossing the Median: Separating Potential fMRI Activations from Noise, M. Jarmasz and R.L. Somorjai, National Research Council of Canada, Winnipeg, Manitoba, Canada.
W 1710. Statistical Improvment of fMRI Data by Wavelet Denoising, S. Zaroubi and G. Goelman, Hadassah Hebrew University Hospital, Jerusalem, Israel.
Th 1711. Gram-Schmidt Orthogonalization to Reduce Aliased Physiologic Noise in Low Sampling Rate fMRI Data, M.J. Lowe, Indiana University School of Medicine, Indianapolis, IN, USA.
M 1712. Reliability of Resting-State Functional Connectivity Maps of fMRI Using Test-Retest Analysis, B.B. Biswal and J.S. Hyde, Medical College of Wisconsin, Milwaukee, WI, USA.
T 1713. Effects of Task Related Activation on Physiological Noise using Functional Connectivity Analysis, K. Arfanakis, D. Cordes, J.A. Sorenson, V.M. Haughton, M.A. Quigley and M.E. Meyerand, University of Wisconsin, Madison, WI, USA.
W 1714. Exploratory Data Analysis of fMR Images: Philosophy, Strategies, Tools and Implementation, R.L. Somorjai and M. Jarmasz, National Research Council of Canada, Winnipeg, MB, Canada.
Th 1715. Blind-Source Separation of Multiple Signal Sources of fMRI Data Sets Using Independent Component Analysis, B.B. Biswal and J.L. Ulmer, Medical College of Wisconsin, Milwaukee, WI, USA.
M 1716. Comparison of Independent Component Analysis (ICA) and Statistical Parametric Mapping (SPM) Procedures in an fMRI Visual Activation Study, J.D. Simeral, Y-F. Yen, L. Hernandez, T.P. Pons, R.E. Hampson and S.A. Deadwyler, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
T 1717. Three-Dimensional Cluster Analysis as a Determinant of Right/Left Asymmetry in fMRI of Parkinson's Disease, M.J. Lowe, M.D. Phillips, J.T. Lurito, V.P. Mathews, M. Dzemidzic and J.M. Wojcieszek, Indiana University School of Medicine, Indianapolis, IN, USA.
W 1718. Exploratory Analysis of fMR Images by Fuzzy Clustering: Voxel Preselection via "Self-Similarity," R.L. Somorjai, M. Jarmasz, R. Baumgartner and W. Richter, National Research Council of Canada, Winnipeg, MB, Canada.
Th 1719. Comparison of Exploratory Data Analysis Methods in fMRI: Fuzzy Clustering and Principal Component Analysis, R. Baumgartner, L. Ryner, R. Summers, M. Jarmasz and R. Somorjai, National Research Council of Canada, Winnipeg, Canada.
M 1720. Is Fuzziness useful in fMRI Clustering, H. Fischer and J. Hennig, University of Freiburg, Germany.
T 1721. Automatic Iterative Cluster Detection Algorithm for Processing 2D and 3D fMRI Datasets, J. Hrabe, H.G. Vaughan and C.A. Branch, Nathan S. Kline Institute, Orangeburg, NY, USA and Albert Einstein College of Medicine, Bronx, NY, USA.
W 1722. Characterizing Individual Trial Response in fMRI Using Robust Curve-Fitting, S. Sarkar, E. Yacoub, J. Zhuang, S.M. LaConte and X. Hu, University of Minnesota, Minneapolis, MN, USA.
Th 1723. An Approach for Detecting Trial Latencies and Improving Average Response in Single Trial fMRI, S. Sarkar, E. Yacoub, S.M. LaConte, T.H. Le and X. Hu, University of Minnesota, Minneapolis, MN, USA.
M 1724. Regional Differences in Visual Cortex Activation Under Monocular and Biocular Visual Stimulation, C.P. Lin, K.H. Chuang, J.H. Chen and C.Y. Chen, National Taiwan University and Tri-Service General Hospital, Taiwan, ROC.
T 1725. Spatial Characteristics of Temporal Delay in Visual Cortex: Demonstrated by Functional MRI, K.H. Chuang, C.P. Lin, C.Y. Chen and J.H. Chen, National Taiwan University and Tri-Service General Hospital, Taiwan, ROC.
W 1726. Separation fo Microvascular and Macrovascular BOLD Signals Using Latency Shifts, C.G. Thomas and R.S. Menon, University of Western Ontario and The John P. Robarts Research Institute, London, Ontario, Canada.
Th 1727. Gradient Echo vs Asymmetric Spin Echo fMRI: Separating Static Field Effects from the BOLD Effect, R.T. Constable and D.D. Spencer, Yale University School of Medicine, New Haven, CT, USA.
M 1728. A Study of Global Signal Changes in Sensori-Motor fMRI, D.W. McRobbie and R.A. Quest, The Hammersmith Hospitals NHS Trust and Imperial College, London, UK.
T 1729. Testing of a Model for the fMRI Contrast-to-Noise Ratio, J.S. Hyde, B.B. Biswal and A. Jesmanowicz, Medical College of Wisconsin, Milwaukee, WI, USA.

Return to Poster Sessions

Return to ISMRM Program