This proposal seeks to extend the ability of fMRI to accurately and quantitatively image high-resolution spatial structure in the human brain, and, at the same time, to expand mathematical and computational understanding of the basic functional architecture of visual cortex. Pilot data indicates that there is a super-modular structure linking multiple topographic maps in macaque and human visual cortex. This V1-V2-V3 complex can be modeled as a single map structure, and it is suggested that the MT-MST complex may be a second instance of the same super-modular organization. In order to test and extend this modeling, the new, state-of-the-art 7T fMRI scanner at Harvard MGH will be used, along with the existing 3T facility, to produce high resolution, minimal distortion, wide visual field reconstructions of human V1, V2, and V3 topographic mappings. A variety of specialized methods is proposed to improve the signal-to-noise ratio and to minimize spatial distortion and other artifacts which exist in current fMRI imagery. Special head coils designed to optimize recording from human occipital cortex have been prototyped. A novel, wide-field visual stimulation device has been designed, which will allow, for the first time, stimulation of the entire visual field from fovea to far periphery within the narrow bore of the fMRI scanner, rather than the para-foveal only stimulation that has been performed to date. All software and distortion correction methods developed under this proposal will be made available and maintained on the MGH web site, as well as source code for modeling the V1-V2-V3 complex, and all instrumental and electronic details for fMRI resolution enhancement and head coil design, as well as the novel full field visual stimulator designed for fMRI use will be made publicly available. The goal of this proposal is to join the efforts of the leading research groups in topographic map modeling and fMRI imaging, in order to extend and validate current understanding of the spatial structure of primary and extra-striate visual cortex and to extend the precision and resolution of fMRI imaging--two goals which can only be accomplished by a joint modeling and experimental collaboration. ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB001550-04
Application #
6998909
Study Section
Special Emphasis Panel (ZRG1-BBBP-4 (50))
Program Officer
Mclaughlin, Alan Charles
Project Start
2003-03-14
Project End
2008-12-31
Budget Start
2006-01-01
Budget End
2008-12-31
Support Year
4
Fiscal Year
2006
Total Cost
$468,476
Indirect Cost
Name
Boston University
Department
Miscellaneous
Type
Schools of Arts and Sciences
DUNS #
049435266
City
Boston
State
MA
Country
United States
Zip Code
02215
Biffi, Alessandro; Sabuncu, Mert R; Desikan, Rahul S et al. (2014) Genetic variation of oxidative phosphorylation genes in stroke and Alzheimer's disease. Neurobiol Aging 35:1956.e1-8
Greve, Douglas N; Brown, Gregory G; Mueller, Bryon A et al. (2013) A survey of the sources of noise in fMRI. Psychometrika 78:396-416
Greve, Douglas N; Van der Haegen, Lise; Cai, Qing et al. (2013) A surface-based analysis of language lateralization and cortical asymmetry. J Cogn Neurosci 25:1477-92
Schaer, Marie; Cuadra, Meritxell Bach; Schmansky, Nick et al. (2012) How to measure cortical folding from MR images: a step-by-step tutorial to compute local gyrification index. J Vis Exp :e3417
Hartley, Catherine A; Fischl, Bruce; Phelps, Elizabeth A (2011) Brain structure correlates of individual differences in the acquisition and inhibition of conditioned fear. Cereb Cortex 21:1954-62
Salat, D H; Chen, J J; van der Kouwe, A J et al. (2011) Hippocampal degeneration is associated with temporal and limbic gray matter/white matter tissue contrast in Alzheimer's disease. Neuroimage 54:1795-802
Greve, Douglas N; Mueller, Bryon A; Liu, Thomas et al. (2011) A novel method for quantifying scanner instability in fMRI. Magn Reson Med 65:1053-61
Desikan, Rahul S; Sabuncu, Mert R; Schmansky, Nicholas J et al. (2010) Selective disruption of the cerebral neocortex in Alzheimer's disease. PLoS One 5:e12853
Biffi, Alessandro; Anderson, Christopher D; Desikan, Rahul S et al. (2010) Genetic variation and neuroimaging measures in Alzheimer disease. Arch Neurol 67:677-85
Desikan, Rahul S; Cabral, Howard J; Settecase, Fabio et al. (2010) Automated MRI measures predict progression to Alzheimer's disease. Neurobiol Aging 31:1364-74

Showing the most recent 10 out of 73 publications