Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Institutional National Research Service Award (T32)
Project #
1T32MH019992-01
Application #
2033551
Study Section
Clinical Neuroscience and Biological Psychopathology Review Committee (CNBP)
Project Start
1997-07-01
Project End
2002-06-30
Budget Start
1997-07-01
Budget End
1998-06-30
Support Year
1
Fiscal Year
1997
Total Cost
Indirect Cost

  Institution

Name
Medical College of Wisconsin
Department
Biophysics
Type
Schools of Medicine
DUNS #
073134603
City
Milwaukee
State
WI
Country
United States
Zip Code
53226

  Publications

Humphries, Colin; Liebenthal, Einat; Binder, Jeffrey R (2010) Tonotopic organization of human auditory cortex. Neuroimage 50:1202-11
Binder, Jeffrey R; Desai, Rutvik H; Graves, William W et al. (2009) Where is the semantic system? A critical review and meta-analysis of 120 functional neuroimaging studies. Cereb Cortex 19:2767-96
Nencka, Andrew S; Hahn, Andrew D; Rowe, Daniel B (2009) A Mathematical Model for Understanding the STatistical effects of k-space (AMMUST-k) preprocessing on observed voxel measurements in fcMRI and fMRI. J Neurosci Methods 181:268-82
Hahn, Andrew D; Nencka, Andrew S; Rowe, Daniel B (2009) Improving robustness and reliability of phase-sensitive fMRI analysis using temporal off-resonance alignment of single-echo timeseries (TOAST). Neuroimage 44:742-52
Rowe, Daniel B; Hahn, Andrew D; Nencka, Andrew S (2009) Functional magnetic resonance imaging brain activation directly from k-space. Magn Reson Imaging 27:1370-81
Huddleston, Wendy E; DeYoe, Edgar A (2008) The representation of spatial attention in human parietal cortex dynamically modulates with performance. Cereb Cortex 18:1272-80
Kufahl, Peter; Li, Zhu; Risinger, Robert et al. (2008) Expectation modulates human brain responses to acute cocaine: a functional magnetic resonance imaging study. Biol Psychiatry 63:222-30
Nencka, Andrew S; Rowe, Daniel B (2007) Reducing the unwanted draining vein BOLD contribution in fMRI with statistical post-processing methods. Neuroimage 37:177-88