Exploring Brain Networks in Neurodegenerative Disease
Event details
| Date | 05.06.2014 |
| Hour | 10:15 |
| Speaker | Prof. Michael D. Greicius, Stanford University, Stanford, CA (USA) |
| Location | |
| Category | Conferences - Seminars |
DISTINGUISHED LECTURE IN BIOLOGICAL ENGINEERING
Abstract:
This talk will consider evidence from human brain imaging research supporting the hypothesis that neurodegenerative diseases progress along brain networks. Alzheimer's disease (AD) is the best-supported model for this hypothesis in that convergent, multimodal data from numerous labs suggests AD specifically targets a large-scale, distributed set of brain regions known as the default-mode network. The next best example is behavioral variant frontotemporal dementia (bvFTD) which has been linked to a second, distinct network, referred to as the emotional salience network. Recent work has suggested that imaging approaches may complement basic science efforts to assess different candidate mechanisms of disease-spread across a network. Imaging methodology advances continue apace and will help overcome a number of current limitations to brain network imaging. Ongoing studies will begin to elucidate the cell- and molecular-level underpinnings of these systems-level network phenomena.
Bio:
Academic Appointments:
Assistant Professor, Dept. of Neurology & Neurological Sciences, Stanford
Member, Neurology & Neurological Sciences, Stanford
Assistant Professor (By courtesy), Psychiatry & Behavioral Science, Stanford
Member, Child Health Research Institute, Stanford
Professional Education:
Residency: Brigham and Women's Hospital Harvard Med. School (2000) MA
Medical Education:Columbia University (1996) NY
Internship: Columbia Presbyterian Medical Center (1997) NY
Residency: Massachusetts General Hospital (2000) MA
Fellowship: Stanford University School of Medicine (2001) CA
Board Certification: Neurology, Amer. Board of Psychiatry and Neurol. (2003)
Abstract:
This talk will consider evidence from human brain imaging research supporting the hypothesis that neurodegenerative diseases progress along brain networks. Alzheimer's disease (AD) is the best-supported model for this hypothesis in that convergent, multimodal data from numerous labs suggests AD specifically targets a large-scale, distributed set of brain regions known as the default-mode network. The next best example is behavioral variant frontotemporal dementia (bvFTD) which has been linked to a second, distinct network, referred to as the emotional salience network. Recent work has suggested that imaging approaches may complement basic science efforts to assess different candidate mechanisms of disease-spread across a network. Imaging methodology advances continue apace and will help overcome a number of current limitations to brain network imaging. Ongoing studies will begin to elucidate the cell- and molecular-level underpinnings of these systems-level network phenomena.
Bio:
Academic Appointments:
Assistant Professor, Dept. of Neurology & Neurological Sciences, Stanford
Member, Neurology & Neurological Sciences, Stanford
Assistant Professor (By courtesy), Psychiatry & Behavioral Science, Stanford
Member, Child Health Research Institute, Stanford
Professional Education:
Residency: Brigham and Women's Hospital Harvard Med. School (2000) MA
Medical Education:Columbia University (1996) NY
Internship: Columbia Presbyterian Medical Center (1997) NY
Residency: Massachusetts General Hospital (2000) MA
Fellowship: Stanford University School of Medicine (2001) CA
Board Certification: Neurology, Amer. Board of Psychiatry and Neurol. (2003)
Practical information
- Informed public
- Free