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 degree program offered by the Harvard-MIT Program in 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 pre- doctoral 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 work and teach together effectively. The environment, mentorship, and formal didactic training attract exceptional individuals to the pursuit of clinical neuroimaging research. In the past three funding cycles, the NTP developed a comprehensive core curriculum and became established as an exceptional program for those wishing to pursue advanced training in neuroimaging. The unique strengths of the NTP include in-depth, direct clinical training, a comprehensive didactic curriculum specifically geared to this cadre of trainees, and vast faculty and technology resources. Our outstanding faculty exemplify the highest standards in teaching, advising and mentoring. Each member of the faculty prioritizes their trainees needs to explore, identify and achieve their career aspirations. Not focused on any particular niche of neuropsychiatric disease (e.g., alcoholism or brain injury), or specific imaging modality or approach, the NTP also prides itself on its multimodal approach to training and demonstrated record of training students in a diverse array of technologies and their basic and clinical applications. Funding is requested to support 6 pre-doctoral trainees each year, providing 2 years of funding per trainee.

Public Health Relevance

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 #
2T32EB001680-16
Application #
9935366
Study Section
Special Emphasis Panel (ZEB1)
Program Officer
Erim, Zeynep
Project Start
2003-05-01
Project End
2025-08-31
Budget Start
2020-09-09
Budget End
2021-08-31
Support Year
16
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Engineering (All Types)
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
02142
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
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
Grossmann, Patrick; Narayan, Vivek; Chang, Ken et al. (2017) Quantitative imaging biomarkers for risk stratification of patients with recurrent glioblastoma treated with bevacizumab. Neuro Oncol 19:1688-1697
Coutinho, Artur Martins; Coutu, Jean-Philippe; Lindemer, Emily Rose et al. (2017) Differential associations between systemic markers of disease and cortical thickness in healthy middle-aged and older adults. Neuroimage 146:19-27

Showing the most recent 10 out of 43 publications