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: | Shayne Lin |
| Institution: | University of Colorado Colorado Springs |
| Department: | Psychology |
| Country: | |
| Proposed Analysis: | The purpose of the current research is to validate the clinical use of the Reliable Change Index (RCI) using advanced brain technology. Data will be pulled from the Alzheimer’s disease Neuroimaging Initiative (ADNI). Therefore, all data used will be archival. We plan to retrieve neuroanatomical data along with neuropsychological test performance from ADNI and analyze the data with tensor-based morphometry. This research project will incorporate 4 small studies, in each of which, we will divide participants into two groups, those who show reliable change in a one-year period and those who do not show reliable change. The research design and analysis for these 4 studies will be identical except for the cognitive test that is used to differentiate participants into two groups. Such cognitive tests will include the Auditory Verbal Learning Test (AVLT), Trail Making Test (TMT), ADNI-MEM, and ADNI-EF. It should be noted that the ADNI-MEM and ADNI-EF are not tests per se but are composite scores calculated from a battery of memory and executive function tests, respectively. The method utilized to divide the groups is the core of the research project, the RCI. For the RCI method, we intend to adopt the method proposed by McSweeney et al. (1993). For each small study, we will first identify individuals who show reliable change using the RCI method and then perform a genetic matching process that creates a group of individuals who do not show reliable change but are matched perfectly with the change group. The variables taken into the genetic matching process include age, gender, race, neurological diagnosis, years of education, baseline cognitive test score, and baseline brain volumes. Neuroanatomical data from the two groups of individuals will be compared statistically using tensor-based morphometry. It is hypothesized that individuals in the change group will show more brain anatomical atrophy than individuals in the no-change group in corresponding brain regions. More specifically, individuals showing reliable decline on memory tests will show more atrophy in the hippocampus, the parahippocampus, the medial limbic circuit, and the thalamus whereas those show demonstrate reliable decline on executive functions will show more atrophy in the dorsolateral prefrontal cortex. The proposed study has already been approved by the University of Colorado - Colorado Springs (UCCS) Institutional Review Board (IRB). |
| Additional Investigators | |
| Investigator's Name: | Brandon Gavett |
| Proposed Analysis: | The purpose of the current research is to validate the clinical use of the Reliable Change Index (RCI) using advanced brain technology. Data will be pulled from the Alzheimer’s disease Neuroimaging Initiative (ADNI). Therefore, all data used will be archival. We plan to retrieve neuroanatomical data along with neuropsychological test performance from ADNI and analyze the data with tensor-based morphometry. This research project will incorporate 4 small studies, in each of which, we will divide participants into two groups, those who show reliable change in a one-year period and those who do not show reliable change. The research design and analysis for these 4 studies will be identical except for the cognitive test that is used to differentiate participants into two groups. Such cognitive tests will include the Auditory Verbal Learning Test (AVLT), Trail Making Test (TMT), ADNI-MEM, and ADNI-EF. It should be noted that the ADNI-MEM and ADNI-EF are not tests per se but are composite scores calculated from a battery of memory and executive function tests, respectively. The method utilized to divide the groups is the core of the research project, the RCI. For the RCI method, we intend to adopt the method proposed by McSweeney et al. (1993). For each small study, we will first identify individuals who show reliable change using the RCI method and then perform a genetic matching process that creates a group of individuals who do not show reliable change but are matched perfectly with the change group. The variables taken into the genetic matching process include age, gender, race, neurological diagnosis, years of education, baseline cognitive test score, and baseline brain volumes. Neuroanatomical data from the two groups of individuals will be compared statistically using tensor-based morphometry. It is hypothesized that individuals in the change group will show more brain anatomical atrophy than individuals in the no-change group in corresponding brain regions. More specifically, individuals showing reliable decline on memory tests will show more atrophy in the hippocampus, the parahippocampus, the medial limbic circuit, and the thalamus whereas those show demonstrate reliable decline on executive functions will show more atrophy in the dorsolateral prefrontal cortex. The proposed study has been approved by the University of Colorado - Colorado Springs (UCCS) Institutional Review Board (IRB). |
| Investigator's Name: | Evan Fletcher |
| Proposed Analysis: | The purpose of the current research is to validate the clinical use of the Reliable Change Index (RCI) using advanced brain technology. Data will be pulled from the Alzheimer’s disease Neuroimaging Initiative (ADNI). Therefore, all data used will be archival. We plan to retrieve neuroanatomical data along with neuropsychological test performance from ADNI and analyze the data with tensor-based morphometry. This research project will incorporate 4 small studies, in each of which, we will divide participants into two groups, those who show reliable change in a one-year period and those who do not show reliable change. The research design and analysis for these 4 studies will be identical except for the cognitive test that is used to differentiate participants into two groups. Such cognitive tests will include the Auditory Verbal Learning Test (AVLT), Trail Making Test (TMT), ADNI-MEM, and ADNI-EF. It should be noted that the ADNI-MEM and ADNI-EF are not tests per se but are composite scores calculated from a battery of memory and executive function tests, respectively. The method utilized to divide the groups is the core of the research project, the RCI. For the RCI method, we intend to adopt the method proposed by McSweeney et al. (1993). For each small study, we will first identify individuals who show reliable change using the RCI method and then perform a genetic matching process that creates a group of individuals who do not show reliable change but are matched perfectly with the change group. The variables taken into the genetic matching process include age, gender, race, neurological diagnosis, years of education, baseline cognitive test score, and baseline brain volumes. Neuroanatomical data from the two groups of individuals will be compared statistically using tensor-based morphometry. It is hypothesized that individuals in the change group will show more brain anatomical atrophy than individuals in the no-change group in corresponding brain regions. More specifically, individuals showing reliable decline on memory tests will show more atrophy in the hippocampus, the parahippocampus, the medial limbic circuit, and the thalamus whereas those show demonstrate reliable decline on executive functions will show more atrophy in the dorsolateral prefrontal cortex. The proposed study has been approved by the University of Colorado - Colorado Springs (UCCS) Institutional Review Board (IRB). |
