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: | Anson Wang |
Institution: | Weill Cornell Medicine |
Department: | Radiology |
Country: | |
Proposed Analysis: | Our project seeks to better understand the underlying mechanisms of cognitive impairment following ischemic stroke. Using the ADNI dataset, we hope to uncover neuroimaging biomarkers linked to clinical cognitive impairment in the setting of vascular dementia. In brief, our project seeks to utilize a multistep process using data from ADNI. First, a subset of patients will be identified within the ADNI dataset with MRI signs of ischemic stroke, noting vascular territory and stroke volume. Next, we will analyze the relationship between stroke volume and cortical atrophy and cognitive impairment. We hypothesize that due to multifactorial causes, the extent of cortical thinning/global atrophy is greater than expected or independent of stroke volume with direct cognitive consequences. We will then investigate potential underlying pathophysiologic causes, including analyzing the relationship between stroke volume and white matter integrity measured semi-automatically using DTI-derived fractional anisotropy, as well as iron deposition (using data obtained at Weill Cornell). I am a 4th year medical student at Weill Cornell Medicine conducting a final thesis project under the mentorship of Dr. Sumit Niogi MD/PhD under the department of Radiology. |
Additional Investigators | |
Investigator's Name: | Sumit Niogi |
Proposed Analysis: | Our project seeks to better understand the underlying mechanisms of cognitive impairment following ischemic stroke. Using the ADNI dataset, we hope to uncover neuroimaging biomarkers linked to clinical cognitive impairment in the setting of vascular dementia. In brief, our project seeks to utilize a multistep process using data from ADNI. First, a subset of patients will be identified within the ADNI dataset with MRI signs of ischemic stroke, noting vascular territory and stroke volume. Next, we will analyze the relationship between stroke volume and cortical atrophy and cognitive impairment. We hypothesize that due to multifactorial causes, the extent of cortical thinning/global atrophy is greater than expected or independent of stroke volume with direct cognitive consequences. We will then investigate potential underlying causes, including analyzing the relationship between stroke volume and white matter integrity measured semi-automatically using DTI-derived fractional anisotropy, as well as iron deposition (using data obtained at Weill Cornell). I am a 4th year medical student at Weill Cornell Medicine conducting a final thesis project under the mentorship of Dr. Sumit Niogi MD/PhD under the department of Radiology. |