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Using diffusion MRI data acquired with ultra-high gradients to improve tractography in routine-quality data
C. Maffei, C. Lee, M. Planich, M. Ramprasad, N. Ravi, D. Trainor, Z. Urban, M. Kim, R.J. Jones, A. Henin, S.G. Hofmann, D.A. Pizzagalli, R.P. Auerbach, J.D.E. Gabrieli, S. Whitfield-Gabrieli, D.N. Greve, S.N. Haber, A. Yendiki
doi: https://doi.org/10.1101/2021.06.28.450265
C. Maffei
aAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
C. Lee
aAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
M. Planich
aAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
M. Ramprasad
aAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
N. Ravi
aAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
D. Trainor
aAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
Z. Urban
aAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
M. Kim
aAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
R.J. Jones
aAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
A. Henin
bMassachusetts General Hospital and Harvard Medical School, Boston, MA, USA
S.G. Hofmann
cBoston University, Boston, MA, USA
D.A. Pizzagalli
dMcLean Hospital and Harvard Medical School, Belmont, MA, USA
R.P. Auerbach
eColumbia University, New York, NY, USA
J.D.E. Gabrieli
fMassachusetts Institute of Technology, Cambridge, MA, USA
S. Whitfield-Gabrieli
gNortheastern University, Boston, MA, USA
D.N. Greve
aAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
S.N. Haber
dMcLean Hospital and Harvard Medical School, Belmont, MA, USA
hDepartment of Pharmacology and Physiology, University of Rochester School of Medicine, Rochester, NY, USA
A. Yendiki
aAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
Article usage
Posted July 19, 2021.
Using diffusion MRI data acquired with ultra-high gradients to improve tractography in routine-quality data
C. Maffei, C. Lee, M. Planich, M. Ramprasad, N. Ravi, D. Trainor, Z. Urban, M. Kim, R.J. Jones, A. Henin, S.G. Hofmann, D.A. Pizzagalli, R.P. Auerbach, J.D.E. Gabrieli, S. Whitfield-Gabrieli, D.N. Greve, S.N. Haber, A. Yendiki
bioRxiv 2021.06.28.450265; doi: https://doi.org/10.1101/2021.06.28.450265
Using diffusion MRI data acquired with ultra-high gradients to improve tractography in routine-quality data
C. Maffei, C. Lee, M. Planich, M. Ramprasad, N. Ravi, D. Trainor, Z. Urban, M. Kim, R.J. Jones, A. Henin, S.G. Hofmann, D.A. Pizzagalli, R.P. Auerbach, J.D.E. Gabrieli, S. Whitfield-Gabrieli, D.N. Greve, S.N. Haber, A. Yendiki
bioRxiv 2021.06.28.450265; doi: https://doi.org/10.1101/2021.06.28.450265
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