Productivity in basic and clinical neuroscience research is accelerating due to technological advances in the area of biomedical imaging. These new technologies have the potential to advance knowledge about the underlying etiology of brain-based disorders, mechanisms of treatment, and predictors of response. This grant proposal responds to PAR-02-017 the """"""""Jointly Sponsored NIH Predoctoral Training Program in the Neurosciences"""""""". It describes a Neuroimaging Training Program (NTP) to be established within the framework of the existing, highly successful Medical Engineering/Medical Physics (MEMP) graduate education program of the joint Division of Health Sciences and Technology (HST) of Harvard University and the Massachusetts Institute of Technology (MIT). HST is an ideal program to host the NTP. Our home institutions, MIT and Harvard School of Medicine (HMS) and the affiliated teaching hospitals, have been at the forefront of the development and application of biomedical imaging technologies. Our faculty has successfully mentored many leaders in the fields of Clinical Neuroscience and Biomedical Imaging. The proposed integrated, multidisciplinary educational program has been developed to meet the scientific, engineering, and clinical challenges posed by this area of investigation. Importantly, the proposed curriculum creates a cohesive environment in which educators from both neuroscience and technology based domains of knowledge can work and teach together effectively. The program we envision will create an environment of enhanced mentorship and formal didactic training that will attract exceptional individuals to the pursuit of clinical neuroimaging research.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Institutional National Research Service Award (T32)
Project #
5T32EB001680-02
Application #
6731073
Study Section
Special Emphasis Panel (ZEY1-VSN (07))
Program Officer
Temple-Oconnor, Meredith D
Project Start
2003-05-01
Project End
2008-04-30
Budget Start
2004-05-01
Budget End
2005-04-30
Support Year
2
Fiscal Year
2004
Total Cost
$131,890
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Other Health Professions
Type
Schools of Arts and Sciences
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
02139
Stout, Jeffrey N; Adalsteinsson, Elfar; Rosen, Bruce R et al. (2018) Functional oxygen extraction fraction (OEF) imaging with turbo gradient spin echo QUIXOTIC (Turbo QUIXOTIC). Magn Reson Med 79:2713-2723
Winzeck, Stefan; Hakim, Arsany; McKinley, Richard et al. (2018) ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI. Front Neurol 9:679
Chang, Ken; Bai, Harrison X; Zhou, Hao et al. (2018) Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging. Clin Cancer Res 24:1073-1081
McDaniel, Patrick; Bilgic, Berkin; Fan, Audrey P et al. (2017) Mitigation of partial volume effects in susceptibility-based oxygenation measurements by joint utilization of magnitude and phase (JUMP). Magn Reson Med 77:1713-1727
Coutu, Jean-Philippe; Lindemer, Emily R; Konukoglu, Ender et al. (2017) Two distinct classes of degenerative change are independently linked to clinical progression in mild cognitive impairment. Neurobiol Aging 54:1-9
Lindemer, Emily R; Greve, Douglas N; Fischl, Bruce et al. (2017) Differential Regional Distribution of Juxtacortical White Matter Signal Abnormalities in Aging and Alzheimer's Disease. J Alzheimers Dis 57:293-303
Mason, Erica E; Cooley, Clarissa Z; Cauley, Stephen F et al. (2017) Design analysis of an MPI human functional brain scanner. Int J Magn Part Imaging 3:
Stout, Jeffrey N; Tisdall, M Dylan; McDaniel, Patrick et al. (2017) Assessing the effects of subject motion on T2 relaxation under spin tagging (TRUST) cerebral oxygenation measurements using volume navigators. Magn Reson Med 78:2283-2289
Chen, Kevin T; Izquierdo-Garcia, David; Poynton, Clare B et al. (2017) On the accuracy and reproducibility of a novel probabilistic atlas-based generation for calculation of head attenuation maps on integrated PET/MR scanners. Eur J Nucl Med Mol Imaging 44:398-407
Lindemer, Emily R; Greve, Douglas N; Fischl, Bruce R et al. (2017) Regional staging of white matter signal abnormalities in aging and Alzheimer's disease. Neuroimage Clin 14:156-165

Showing the most recent 10 out of 43 publications