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: | Efthymia Maria Kapasouri |
| Institution: | University of East Anglia |
| Department: | Norwich Medical School |
| Country: | |
| Proposed Analysis: | In our study, we will examine perfusion white matter hyperintensities changes as a prognostic factor of progression to Alzheimer’s Disease. Our aim is to detect the differences on imaging of mild cognitive impairment (MCI) who remained cognitively stable and MCI who progressed to Alzheimer’s Disease in correlation to CSF markers and cognitive changes. In particular, we will examine cognitive normal participants (CN) and those with (MCI) at the baseline. Then, we will identify longitudinally the participants who progressed to AD based on clinical data. We will divide them into 2 groups: the first one will include volunteers who progressed to AD and the second one those who remained stable. At this point, we will compare MRI images and CSF markers of the above-mentioned groups cross-sectionally in order to detect possible differences that may act as predictors of AD. We will focus our research on: a) MRI images (ASL, structural MRI, flair) b) clinical data (demographics, clinical and cognitive assessment) c) genetic [APOE genotyping] d) CSF results (APOE, aβ40, aβ42, ptau, tau) Our project will study CN adults, MCI participants and volunteers who converted to AD taking into account genotyping and clinical risk factors. We will observe the correlation of cerebral blood flow and pre-existing and newly appeared cerebrovascular changes on MRI sequences. Specifically, our objectives are to: ● Examine cerebral blood flow (CBF) using perfusion imaging in people with mild cognitive impairment and cognitive normal elderly adults. ● Compare CBF of MCI who converted to AD and of those who did not ● Correlate existing lesions in structural MRI and flair (e.g. white matter hyperintensities, lacunes, hippocampal atrophy) to perfusion changes on ASL and compare the findings of MCI subgroups. ● Correlate the perfusion images to cognitive assessment changes and CSF biomarkers changes |
| Additional Investigators | |
| Investigator's Name: | Michael Hornberger |
| Proposed Analysis: | In our study, we will examine perfusion white matter hyperintensities changes as a prognostic factor of progression to Alzheimer’s Disease. Our aim is to detect the differences on imaging of mild cognitive impairment (MCI) who remained cognitively stable and MCI who progressed to Alzheimer’s Disease in correlation to CSF markers and cognitive changes. In particular, we will examine cognitive normal participants (CN) and those with (MCI) at the baseline. Then, we will identify longitudinally the participants who progressed to AD based on clinical data. We will divide them into 2 groups: the first one will include volunteers who progressed to AD and the second one those who remained stable. At this point, we will compare MRI images and CSF markers of the above-mentioned groups cross-sectionally in order to detect possible differences that may act as predictors of AD. We will focus our research on: a) MRI images (ASL, structural MRI, flair) b) clinical data (demographics, clinical and cognitive assessment) c) genetic [APOE genotyping] d) CSF results (APOE, aβ40, aβ42, ptau, tau) Our project will study CN adults, MCI participants and volunteers who converted to AD taking into account genotyping and clinical risk factors. We will observe the correlation of cerebral blood flow and pre-existing and newly appeared cerebrovascular changes on MRI sequences. Specifically, our objectives are to: ● Examine cerebral blood flow (CBF) using perfusion imaging in people with mild cognitive impairment and cognitive normal elderly adults. ● Compare CBF of MCI who converted to AD and of those who did not ● Correlate existing lesions in structural MRI and flair (e.g. white matter hyperintensities, lacunes, hippocampal atrophy) to perfusion changes on ASL and compare the findings of MCI subgroups. ● Correlate the perfusion images to cognitive assessment changes and CSF biomarkers changes |
| Investigator's Name: | Vassilios Vassiliou |
| Proposed Analysis: | In our study, we will examine perfusion white matter hyperintensities changes as a prognostic factor of progression to Alzheimer’s Disease. Our aim is to detect the differences on imaging of mild cognitive impairment (MCI) who remained cognitively stable and MCI who progressed to Alzheimer’s Disease in correlation to CSF markers and cognitive changes. In particular, we will examine cognitive normal participants (CN) and those with (MCI) at the baseline. Then, we will identify longitudinally the participants who progressed to AD based on clinical data. We will divide them into 2 groups: the first one will include volunteers who progressed to AD and the second one those who remained stable. At this point, we will compare MRI images and CSF markers of the above-mentioned groups cross-sectionally in order to detect possible differences that may act as predictors of AD. We will focus our research on: a) MRI images (ASL, structural MRI, flair) b) clinical data (demographics, clinical and cognitive assessment) c) genetic [APOE genotyping] d) CSF results (APOE, aβ40, aβ42, ptau, tau) Our project will study CN adults, MCI participants and volunteers who converted to AD taking into account genotyping and clinical risk factors. We will observe the correlation of cerebral blood flow and pre-existing and newly appeared cerebrovascular changes on MRI sequences. Specifically, our objectives are to: ● Examine cerebral blood flow (CBF) using perfusion imaging in people with mild cognitive impairment and cognitive normal elderly adults. ● Compare CBF of MCI who converted to AD and of those who did not ● Correlate existing lesions in structural MRI and flair (e.g. white matter hyperintensities, lacunes, hippocampal atrophy) to perfusion changes on ASL and compare the findings of MCI subgroups. ● Correlate the perfusion images to cognitive assessment changes and CSF biomarkers changes |
