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Souheil InatiMagnetic Resonance ImagingDepartment of Psychology | Center for Brain Imaging | Center for Neuroeconomics Magnetic Resonance Imaging (MRI) is unparalleled in its ability to provide high resolution images of soft tissue in-vivo. It is non-invasive and extremely flexible allowing for a wide range of applications. My research is focused on the development of MRI methodology for neuroscience, specifically imaging the structure and function of the brain. Current projects include work on the optimization of anatomical imaging sequences for morphometry and cortical flattening, in-vivo white matter "dissection" via diffusion tensor imaging (DTI) and fiber tracking, and incorporation of parallel imaging technology using multi-coil arrays into whole-brain functional imaging (fMRI). The long-term goal of my research is the integration of various MR data acquisition methods, such as functional, diffusion-weighted, and structural scans, each of which provides a measure of one aspect or another of the underlying physiology. I hope to develop sets of tools that can be used by a wide range of neuroscientists, from biologists interested in the development and the organization of the primate brain, to psychologists interested in the mapping of large scale, high level, human cognitive function. E-mail: souheil.inati@nyu.edu Representative PublicationsGo here for a full list and reprint download. Spin correlations and symmetrization in the nuclear magnetic resonances of molecular systems with tunneling Polarization-enhanced NMR spectroscopy of biomolecules in frozen solution Eye position influences auditory responses in primate inferior colliculus Extensive individual differences in brain activations associated with episodic retrieval are reliable over time Actions or hand-object interactions? Human inferior frontal cortex and action observation Functional connectivity: integrating behavioral, diffusion tensor imaging, and functional magnetic resonance imaging data sets An fMRI study of reward-related probability learning |
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