Neuro-X Seminar: Network Neuroscience and Alzheimer’s Disease
Event details
| Date | 17.03.2023 |
| Hour | 12:30 › 13:30 |
| Speaker | Dr Evgeny Jenya Chumin |
| Location | |
| Category | Conferences - Seminars |
| Event Language | English |
Abstract:
The human brain can be represented and studied as a complex network of interconnected regions and their dynamic interactions. Applications of network and graph analyses to clinical data have increased in the past decade, marked by the emergence of the subfield of ‘clinical network neuroscience’. Alzheimer's disease, which is characterized by severe atrophy, pathological aggregation of proteins, and alterations in connectivity, is a good testbed to determine whether network-based approaches can be robust and precise enough to achieve clinical utility. Toward that goal, I will share my work on applying established and novel, edge-based, network science methods to connectivity data in Alzheimer’s disease, with emphasis on resting-state functional MRI.
Bio:
Evgeny Jenya Chumin, PhD received his BS in neuroscience and psychology and PhD in medical neuroscience from Indiana University. He is currently a postdoctoral fellow in the lab of Dr. Olaf Sporns at Indiana University Department of Psychological and Brain Sciences working on network applications in clinical research, with a focus on identifying robust disease relevant markers with potential for future clinical utility.
The human brain can be represented and studied as a complex network of interconnected regions and their dynamic interactions. Applications of network and graph analyses to clinical data have increased in the past decade, marked by the emergence of the subfield of ‘clinical network neuroscience’. Alzheimer's disease, which is characterized by severe atrophy, pathological aggregation of proteins, and alterations in connectivity, is a good testbed to determine whether network-based approaches can be robust and precise enough to achieve clinical utility. Toward that goal, I will share my work on applying established and novel, edge-based, network science methods to connectivity data in Alzheimer’s disease, with emphasis on resting-state functional MRI.
Bio:
Evgeny Jenya Chumin, PhD received his BS in neuroscience and psychology and PhD in medical neuroscience from Indiana University. He is currently a postdoctoral fellow in the lab of Dr. Olaf Sporns at Indiana University Department of Psychological and Brain Sciences working on network applications in clinical research, with a focus on identifying robust disease relevant markers with potential for future clinical utility.
Practical information
- Informed public
- Free