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: | Cchidi Ugonna |
Institution: | University of Arizona |
Department: | Biomedical Engineering |
Country: | |
Proposed Analysis: | We intend to use anatomical MRI images to segment and quantify structural features of the upper airway (e.g., pharyngeal fat pad size, upper airway volume, cross-sectional area, upper airway length, etc). We will then assess how these anatomical features of the respiratory system intersect with features of cognitive aging (e.g., hippocampal volume, incidence of dementia, etc.) |
Additional Investigators | |
Investigator's Name: | Mark Sundman |
Proposed Analysis: | We intend to use anatomical MRI images to segment and quantify structural features of the upper airway (e.g., pharyngeal fat pad size, upper airway volume, cross-sectional area, upper airway length, etc). We will then assess how these anatomical features of the respiratory system intersect with features of cognitive aging (e.g., hippocampal volume, incidence of dementia, etc.) |
Investigator's Name: | Ying-Hui Chou |
Proposed Analysis: | We intend to use anatomical MRI images to segment and quantify structural features of the upper airway (e.g., pharyngeal fat pad size, upper airway volume, cross-sectional area, upper airway length, etc). We will then assess how these anatomical features of the respiratory system intersect with features of cognitive aging (e.g., hippocampal volume, incidence of dementia, etc.) |
Investigator's Name: | Koeun Lim |
Proposed Analysis: | We intend to use anatomical MRI images to segment and quantify structural features of the upper airway (e.g., pharyngeal fat pad size, upper airway volume, cross-sectional area, upper airway length, etc). We will then assess how these anatomical features of the respiratory system intersect with features of cognitive aging (e.g., hippocampal volume, incidence of dementia, etc.) |
Investigator's Name: | Nan-kuei Chen |
Proposed Analysis: | We intend to to assess how anatomical features of the respiratory system intersect with features of cognitive aging (e.g. hippocampal volume, incidence of dementia, etc.) as well as other MRI modalities (e.g. functional MRI ) |
Investigator's Name: | Julia Fisher |
Proposed Analysis: | We intend to to assess how anatomical features of the respiratory system intersect with features of cognitive aging (e.g. hippocampal volume, incidence of dementia, etc.) as well as other MRI modalities (e.g. functional MRI ) |
Investigator's Name: | Aidan Dolby |
Proposed Analysis: | We intend to to assess how anatomical features of the respiratory system intersect with features of cognitive aging (e.g. hippocampal volume, incidence of dementia, etc.) as well as other MRI modalities (e.g. functional MRI ) |
Investigator's Name: | Atiyeh Fotoohinasab |
Proposed Analysis: | We intend to extend graph-based network concepts of robustness and vulnerability which have been developed on a smaller cohort of subjects to the more comprehensive and diverse ADNI data to investigate how well these can be applied to Alzheimer's and cognitive impairment in older populations. |