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: | Jennifer Kim |
| Institution: | Yale School Of Medicine |
| Department: | Neurology |
| Country: | |
| Proposed Analysis: | The most rapidly growing subpopulation of traumatic brain injuries (TBI) is older adults. They are also the group most vulnerable to poor cognitive outcomes even after less severe injuries1. However, there is considerable heterogeneity in the impact of TBI on cognitive decline in older adults and an important knowledge gap as to what underlies this heterogeneity. Furthermore, while there are numerous links between multiple TBI events and later cognitive decline and neurodegenerative diseases in younger persons. Conventional brain imaging has failed to define the complexities initiated by TBI and has limited our understanding of the heterogeneity in cognitive functioning adults after TBI among older adults. Yet, we know that assessing connectivity changes may provide a broader understanding of how TBI leads to adverse cognitive outcomes9,10, 11 particularly in vulnerable older adults. Our central hypothesis is that exploring functional connectivity in the early phase after TBI will provide insights into the heterogeneity of cognitive outcomes observed after a single mild-to-moderate TBI in older adults and ultimately help identify those who are susceptible to developing cognitive decline. Recent studies have shown TBI to be a risk factor for mild cognitive impairment (MCI) suggesting potential pathophysiological similarities between TBI and MCI12. We hypothesize that the network changes for cognitive decline after TBI are similar to those seen in MCI. We would like to compare a cohort of TBI patients that we have to the ADNI3 cohort of MCI patients and age-matched cognitively normal controls. Our goals for this study are to (1) explore functional connectivity networks to understand the heterogeneity of TBI-related cognitive symptoms; (2) examine whether those networks can be used to predict future deficits on an individual level, and (3) determine whether neural circuits implicated in TBI-related cognitive decline mimics circuits of MCI. |
| Additional Investigators |
