Sean Marrett

Affiliations: 
National Institute of Mental Health, Bethesda, MD, United States 
Area:
vision, neuroimaging
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"Sean Marrett"
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SNBCP

Parents

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Alan Charles Evans grad student 1992-1996 Montreal Neurological Institute
Albert H. Gjedde grad student 1992-1999 Montreal Neurological Institute
Roger Tootell post-doc 1999 Harvard Medical School
Bruce Rosen post-doc 1996-1999 MGH
Peter A. Bandettini research scientist 2000- NIMH
Leslie Ungerleider research scientist 2000- NIMH
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Publications

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Chai Y, Handwerker DA, Marrett S, et al. (2019) Visual temporal frequency preference shows a distinct cortical architecture using fMRI. Neuroimage
Esteban O, Blair RW, Nielson DM, et al. (2019) Crowdsourced MRI quality metrics and expert quality annotations for training of humans and machines. Scientific Data. 6: 30
Huber L, Handwerker DA, Jangraw DC, et al. (2017) High-Resolution CBV-fMRI Allows Mapping of Laminar Activity and Connectivity of Cortical Input and Output in Human M1. Neuron
Huber L, Ivanov D, Handwerker DA, et al. (2016) Techniques for blood volume fMRI with VASO: From low-resolution mapping towards sub-millimeter layer-dependent applications. Neuroimage
Savitz JB, Nugent AC, Bogers W, et al. (2011) Habenula volume in bipolar disorder and major depressive disorder: a high-resolution magnetic resonance imaging study. Biological Psychiatry. 69: 336-43
Ruff DA, Marrett S, Heekeren HR, et al. (2010) Complementary roles of systems representing sensory evidence and systems detecting task difficulty during perceptual decision making. Frontiers in Neuroscience. 4: 190
Savitz J, Nugent AC, Bogers W, et al. (2010) Amygdala volume in depressed patients with bipolar disorder assessed using high resolution 3T MRI: the impact of medication. Neuroimage. 49: 2966-76
Thomas AG, Marrett S, Saad ZS, et al. (2009) Functional but not structural changes associated with learning: an exploration of longitudinal voxel-based morphometry (VBM). Neuroimage. 48: 117-25
Heekeren HR, Marrett S, Ungerleider LG. (2008) The neural systems that mediate human perceptual decision making. Nature Reviews. Neuroscience. 9: 467-79
Mukai I, Kim D, Fukunaga M, et al. (2007) Activations in visual and attention-related areas predict and correlate with the degree of perceptual learning. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 27: 11401-11
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