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 competing renewal grant proposal describes a Neuroimaging Training Program (NTP) established in 2003 within the framework of the longstanding and highly successful doctoral programs offered by the Harvard- MIT Division of Health Sciences and Technology (HST). HST is an ideal home for the NTP. The sponsoring institutions, MIT and Harvard, and the affiliated teaching hospitals, have been and continue to be at the forefront of the development and application of biomedical imaging technologies. The faculty has consistently mentored leaders in the fields of biomedical imaging and clinical neuroscience. The integrated, interdisciplinary educational program trains students to meet the scientific, engineering, and clinical challenges posed by this area of investigation. Importantly, the curriculum creates a cohesive environment in which educators from both neuroscience and technology based domains of knowledge work and teach together effectively. The environment, mentorship and formal didactic training attract exceptional individuals to the pursuit of clinical neuroimaging research. In the first funding cycle, the NTP developed a comprehensive core curriculum and became established as an exceptional program for those wishing to pursue advanced training in neuroimaging. This renewal application builds on the initial success of the program and extends the program's positive impact. Specifically, the program is now available to doctoral students in a wider variety of degree programs, thereby enriching the candidate pool and extending the benefits of NTP to students working in a wider variety of application areas. In addition, the faculty roster now includes expertise in the domain of molecular imaging, in recognition of the exceptional promise of that emerging field.

Public Health Relevance

Project Narrative Investment in training of biomedical engineers to become experts in the development of new non-invasive imaging tools and their use in patients with brain diseases such as schizophrenia and Alzheimer's Disease will greatly advance the ability to provide good medical care. The trainees from this program make significant contributions to medical technologies that enable accurate diagnosis of illnesses and determination of responses to treatments.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Institutional National Research Service Award (T32)
Project #
5T32EB001680-08
Application #
8306131
Study Section
Special Emphasis Panel (ZEB1-OSR-C (O1))
Program Officer
Baird, Richard A
Project Start
2003-05-01
Project End
2015-08-31
Budget Start
2012-09-01
Budget End
2013-08-31
Support Year
8
Fiscal Year
2012
Total Cost
$180,778
Indirect Cost
$8,650
Name
Massachusetts Institute of Technology
Department
Miscellaneous
Type
Other Domestic Higher Education
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