The Gabrieli Lab at MIT
The goal of our lab is to understand principles of brain organization that are consistent across individuals and those that vary across people due to age, personality, and other dimensions of individuality. Therefore, we examine brain-behavior relations across the life span, from children through the elderly. Our primary methods are brain imaging (functional and structural), and the experimental behavioral study of patients with brain injuries. The majority of our studies involve functional magnetic resonance imaging (fMRI), but we also employ other brain measures as needed to address scientific questions, including electroencephalography (EEG).
Much of our research occurs at the Martinos Imaging Center at the McGovern Institute at MIT, which is affiliated with the Athinoula A. Martinos Center for Biomedical Imaging. The Martinos centers are a collaboration among the Harvard-MIT Division of Health Sciences and Technology (HST), the McGovern Institute for Brain Research, Massachusetts General Hospital, and Harvard Medical School. Our affiliations with these outstanding research institutions promote the opportunity for cutting-edge basic cognitive neuroscience research and translation from basic science to clinical application.
Meet some of the people who are contributing to the Gabrieli Lab to achieve its goal to understand principles of brain organization...
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Visitors and Visiting Graduate Students
Fernando Barrios Alvarez
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Carlo de los Angeles
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|Research Interests | Publications | Biography|
John Gabrieli, Ph.D. Principal Investigator
John Gabrieli is the director of the Athinoula A. Martinos Imaging Center at the McGovern Institute. He is an Investigator at the Institute, with faculty appointments in the Department of Brain and Cognitive Sciences and the Harvard-MIT Division of Health Sciences and Technology, where is holds the Grover Hermann Professorship and is the Associate Director of the Athinoula A. Martinos Center for Biomedical Imaging, MGH/MIT, located at Massachusetts General Hospital. Prior joining MIT, he spent 14 years at Stanford University in the Department of Psychology and Neurosciences Program. Since 1990, he has served as Visiting Professor, Department of Neurological Sciences, Rush-Presbyterian-St. Luke's Hospital and Rush Medical College. He received a Ph.D. in Behavioral Neuroscience in the MIT Department of Brain and Cognitive Sciences in 1987 and B.A. in English from Yale University in 1978.
I began working at MIT in 1994. My work history is as follows:
- 1994 - 1997 - Center for Theoretical Physics as a Sr. Technical Secretary.
- 1997 - 2005 - The Research Laboratory of Electronics as an Assistant for the Nanostructures Laboratory (Prof. Henry I. Smith); Quantum Nanostructures and Nanofabrication Group (Prof. Karl Berggren) & the Integrated Photonic Devices and Materials Group (Prof. Leslie Kolodziejski).
- 2005 - 2007 - The Department of Electrical Engineering and Computer Science as Assistant to the Associate Department Head for Computer Science (Prof. Srini Devadas).
- 2007 - present - Brain & Cognitive Sciences; McGovern Institute for Brain Research & MIT Clinical Research Center. Assistant to Prof. John Gabrieli.
|Sofware | Documents | Links | Imaging Library | Seminars & Courses | Publications|
Susan Whitfield-Gabrieli interested in how analyses of brain imaging data can shed light on the neural mechanisms subserving normal cognition and how disturbances of those mechanisms impair cognition in neurological and psychiatric diseases. Research interests include: 1) psychiatric disorders such as schizophrenia and depression; 2) age-related disorders such as Alzheimer’s disease and mild cognitive impairment (MCI); and 3) developmental disorders such as dyslexia. Research focuses on the development of quantitative methods to analyze data from functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), and event related potential (ERP). Susan Whitefield-Gabrieli particularly interested using these multimodal imaging techniques to investigate functional and anatomical connectivity as well as exploring novel approaches to multimodal integration.
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