There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Carlo de los Angeles |
| Institution: | Stanford School of Medicine (Stanford Cognitive and Systems Neuroscience Lab) |
| Department: | Psychiatry and Behavioral Sciences |
| Country: | |
| Proposed Analysis: | Our work aims to advance fundamental knowledge of human brain function and to use this knowledge to help individuals with psychiatric and neurological disorders. The overall goal of the proposed work is to investigate brain circuit dynamics and functional brain organization across the human lifespan in health and disease. Specifically, the first aim/goal of our work is to determine brain mechanisms underlying cognitive, emotional, and memory function and dysfunction, and its developmental trajectory in neurotypicals as well as in in psychiatric and neurological disorders. We will do so by integrating multimodal brain imaging techniques with novel computational methods and cognitive-behavioral-clinical assays. The second aim/goal of our work is to discover robust brain circuits-based pre-symptomatic biomarkers of psychiatric and neurological disorders, using a Big Data science approach and leveraging exciting recent advances in artificial intelligence techniques. Computational analysis of brain imaging, behavioral and clinical data using novel methods that measure brain circuit dynamics, model latent cognitive components, as well as machine learning approaches leveraging recent advances in artificial intelligence. Our methods and approach draw on tools from multiple scientific and engineering disciplines, including cognitive neuroscience, psychology, psychiatry, neurology, bioinformatics, computer science, electrical engineering, and biomedical engineering. Cognitive and memory impairments are a defining characteristic of aging and are thought to arise from dysfunctional circuits spanning multiple brain areas. Our proposed studies will advance foundational knowledge of cognition, emotion, and memory-related brain circuits across the human lifespan and their links to neuropathology, and more generally, also contribute novel tools for examining dynamical causal circuits underlying human brain function and dysfunction. |
| Additional Investigators | |
| Investigator's Name: | Vinod Menon |
| Proposed Analysis: | Our work aims to advance fundamental knowledge of human brain function and to use this knowledge to help individuals with psychiatric and neurological disorders. The overall goal of the proposed work is to investigate brain circuit dynamics and functional brain organization across the human lifespan in health and disease. Specifically, the first aim/goal of our work is to determine brain mechanisms underlying cognitive, emotional, and memory function and dysfunction, and its developmental trajectory in neurotypicals as well as in in psychiatric and neurological disorders. We will do so by integrating multimodal brain imaging techniques with novel computational methods and cognitive-behavioral-clinical assays. The second aim/goal of our work is to discover robust brain circuits-based pre-symptomatic biomarkers of psychiatric and neurological disorders, using a Big Data science approach and leveraging exciting recent advances in artificial intelligence techniques. Computational analysis of brain imaging, behavioral and clinical data using novel methods that measure brain circuit dynamics, model latent cognitive components, as well as machine learning approaches leveraging recent advances in artificial intelligence. Our methods and approach draw on tools from multiple scientific and engineering disciplines, including cognitive neuroscience, psychology, psychiatry, neurology, bioinformatics, computer science, electrical engineering, and biomedical engineering. Cognitive and memory impairments are a defining characteristic of aging and are thought to arise from dysfunctional circuits spanning multiple brain areas. Our proposed studies will advance foundational knowledge of cognition, emotion, and memory-related brain circuits across the human lifespan and their links to neuropathology, and more generally, also contribute novel tools for examining dynamical causal circuits underlying human brain function and dysfunction. |
