Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH053213-02
Application #
2253231
Study Section
Special Emphasis Panel (ZRG7-SSS-X (35))
Project Start
1994-12-01
Project End
1997-11-30
Budget Start
1995-12-15
Budget End
1996-11-30
Support Year
2
Fiscal Year
1996
Total Cost
Indirect Cost
Name
University of Southern California
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
041544081
City
Los Angeles
State
CA
Country
United States
Zip Code
90089
Singh, Manbir; Wong, Chi-Wah (2010) Independent component analysis-based multifiber streamline tractography of the human brain. Magn Reson Med 64:1676-84
Jerbi, K; Mosher, J C; Baillet, S et al. (2002) On MEG forward modelling using multipolar expansions. Phys Med Biol 47:523-55
Shattuck, David W; Leahy, Richard M (2002) BrainSuite: an automated cortical surface identification tool. Med Image Anal 6:129-42
Shattuck, D W; Sandor-Leahy, S R; Schaper, K A et al. (2001) Magnetic resonance image tissue classification using a partial volume model. Neuroimage 13:856-76
Shattuck, D W; Leahy, R M (2001) Automated graph-based analysis and correction of cortical volume topology. IEEE Trans Med Imaging 20:1167-77
Sutherling, W W; Akhtari, M; Mamelak, A N et al. (2001) Dipole localization of human induced focal afterdischarge seizure in simultaneous magnetoencephalography and electrocorticography. Brain Topogr 14:101-16
Ermer, J J; Mosher, J C; Huang, M et al. (2000) Paired MEG data set source localization using recursively applied and projected (RAP) MUSIC. IEEE Trans Biomed Eng 47:1248-60
Mosher, J C; Leahy, R M; Lewis, P S (1999) EEG and MEG: forward solutions for inverse methods. IEEE Trans Biomed Eng 46:245-59
Huang, M X; Mosher, J C; Leahy, R M (1999) A sensor-weighted overlapping-sphere head model and exhaustive head model comparison for MEG. Phys Med Biol 44:423-40
Mosher, J C; Baillet, S; Leahy, R M (1999) EEG source localization and imaging using multiple signal classification approaches. J Clin Neurophysiol 16:225-38

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