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: | Sirui Wang |
| Institution: | zhongnan hospital of wuhan university |
| Department: | Department of Rehabilitation Medicine |
| Country: | |
| Proposed Analysis: | Alzheimer’s disease (AD) is a common neurodegenerative disease characterized by deficits in higher-order cognitive processing, such as memory loss, executive dysfunction, disorientation and so on. At present, no effective treatment has been found to decelerate the progression of this disorder. In addition, the brain changes for decades before the symptoms become obvious. Thus, early detection of AD will be beneficial to the use of preventive measures and may therefore help to delay progress. Recent studies have introduced the large-scale connectivity gradients in functional brain networks, which recapitulate neurocognitively meaningful organizational principles. However, whether these functional connectivity gradients are gradual disrupted as the disease progresses and how this disruption associates with behaviors remain unknown. We hope to use a large cohort of resting-state fMRI data from mild cognitive impairment patients, AD patients, and healthy volunteers to investigate AD-related alterations in the functional connectivity gradient. Our aim is to reveal the changes of functional connectivity gradient and its linkage with clinical behaviors as the disease progresses, providing insight into the neurobiological basis and potential biomarkers for the early detection of AD. |
| Additional Investigators | |
| Investigator's Name: | Bo Rao |
| Proposed Analysis: | Alzheimer’s disease (AD) is a common neurodegenerative disease characterized by deficits in higher-order cognitive processing, such as memory loss, executive dysfunction, disorientation and so on. At present, no effective treatment has been found to decelerate the progression of this disorder. In addition, the brain changes for decades before the symptoms become obvious. Thus, early detection of AD will be beneficial to the use of preventive measures and may therefore help to delay progress. Recent studies have introduced the large-scale connectivity gradients in functional brain networks, which recapitulate neurocognitively meaningful organizational principles. However, whether these functional connectivity gradients are gradual disrupted as the disease progresses and how this disruption associates with behaviors remain unknown. We hope to use a large cohort of resting-state fMRI data from mild cognitive impairment patients, AD patients, and healthy volunteers to investigate AD-related alterations in the functional connectivity gradient. Our aim is to reveal the changes of functional connectivity gradient and its linkage with clinical behaviors as the disease progresses, providing insight into the neurobiological basis and potential biomarkers for the early detection of AD. |
