The aim of our multidisciplinary institutional training program, based in the Schools of Medicine and Engineering at the University of Pennsylvania, is to train predoctoral engineering students and physician postdoctoral fellows in Neuroengineering and its clinical translation. Disorders of the nervous system, such as stroke, epilepsy, Parkinson?s disease, depression, dementia, and head trauma, constitute 35% of all disease and disability, and the burden is rising. There is an explosion of promising therapies for these disorders in new technologies to image, analyze, and modulate neural circuits, but translating these therapies from the laboratory to patients is a challenge. It requires talented engineers educated in clinical science and technically proficient physicians who speak the same language. Together these investigators must navigate a complex scientific, regulatory, and clinical landscape. Despite the huge demand, few formal, interdisciplinary Neuroengineering training programs exist. Our program is shared by the Penn Schools of Medicine and Engineering focused on Neuroengineering and Clinical Translation and recruits from an excellent pool of ~60 MD fellows and 55-75 PhD students each year. Physician and Engineering trainees will together become fluent in cutting-edge technologies at the forefront of Neuroengineering, such as devices, neurostimulation, machine learning, algorithm development, cloud computing, nanotechnology and materials science. They will innovate new therapies for human disease and gain a thorough understanding of the clinical, regulatory, and developmental environments necessary to safely bring new technologies to patients. The program?s core is a group of collaborative, multidisciplinary faculty mentors in engineering and the clinical neurosciences. In addition to dedicated neuroengineering research, our training program includes: (1) a longitudinal mentored clinical experience for PhD candidates, (2) engineering lab immersion and tutorial for MD postdoctoral fellows, (3) courses and seminars in Engineering, Neuroscience, Medicine and Statistics, (4) training in the proper conduct of research, (5) workshops on professional and career development, including scientific writing, oral presentations, and laboratory management, (6) new to the program will be a dedicated statistician and expert guest speakers leading intensive didactic seminars on quantitative tools and approaches, experimental design, and statistical methodology, and (7) all journal clubs, workshops and one-on-one mentoring will have time devoted to promoting quantitative literacy and thinking to address issues in research. The program, unique at Penn, leverages a superb research and training environment, including a compact campus where robust centers for Engineering, Medicine, Neuroscience and Statistics all reside within two blocks of each other, united through Penn?s Center for Neuroengineering and Therapeutics.
Training Program in Neuroengineering and Medicine Disorders of the nervous system represent one of the largest, fastest growing areas of medical need in the United States and the most promising therapies for these disorders are new technologies to image, analyze, and modulate activity in neural circuits. There is a great need for engineers educated in clinical neuroscience and physicians with technical backgrounds to train and work together, to effectively bring these critical technologies to patient care. The goal of this multidisciplinary program is to train pre-doctoral engineering students, and post-doctoral MD and MD-PhD fellows together in Neuroengineering research, to translate their work to clinical care, and ultimately improve the lives of individuals with brain and nervous system disorders.
| Solomon, E A; Kragel, J E; Gross, R et al. (2018) Medial temporal lobe functional connectivity predicts stimulation-induced theta power. Nat Commun 9:4437 |
| Glantz, Spencer T; Berlew, Erin E; Jaber, Zaynab et al. (2018) Directly light-regulated binding of RGS-LOV photoreceptors to anionic membrane phospholipids. Proc Natl Acad Sci U S A 115:E7720-E7727 |
| Taylor, M Morgan; Sedigh-Sarvestani, Madineh; Vigeland, Leif et al. (2018) Inhibition in Simple Cell Receptive Fields Is Broad and OFF-Subregion Biased. J Neurosci 38:595-612 |
| Sedigh-Sarvestani, Madineh; Vigeland, Leif; Fernandez-Lamo, Ivan et al. (2017) Intracellular, In Vivo, Dynamics of Thalamocortical Synapses in Visual Cortex. J Neurosci 37:5250-5262 |
| Karoly, Philippa J; Nurse, Ewan S; Freestone, Dean R et al. (2017) Bursts of seizures in long-term recordings of human focal epilepsy. Epilepsia 58:363-372 |
| Liu, Jessica F; Yadavali, Sagar; Tsourkas, Andrew et al. (2017) Microfluidic diafiltration-on-chip using an integrated magnetic peristaltic micropump. Lab Chip 17:3796-3803 |
| Thawani, Jayesh P; Amirshaghaghi, Ahmad; Yan, Lesan et al. (2017) Photoacoustic-Guided Surgery with Indocyanine Green-Coated Superparamagnetic Iron Oxide Nanoparticle Clusters. Small 13: |
| Ung, Hoameng; Cazares, Christian; Nanivadekar, Ameya et al. (2017) Interictal epileptiform activity outside the seizure onset zone impacts cognition. Brain 140:2157-2168 |
| Yan, Lesan; Miller, Joann; Yuan, Min et al. (2017) Improved Photodynamic Therapy Efficacy of Protoporphyrin IX-Loaded Polymeric Micelles Using Erlotinib Pretreatment. Biomacromolecules 18:1836-1844 |
| Ung, Hoameng; Baldassano, Steven N; Bink, Hank et al. (2017) Intracranial EEG fluctuates over months after implanting electrodes in human brain. J Neural Eng 14:056011 |
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