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: | Andrei Vakhtin |
| Institution: | The Mind Research Network |
| Department: | Translational Neuroscience |
| Country: | |
| Proposed Analysis: | It is with great excitement that I submit my request for data access to the ADNI project, as I seek to apply my methodological skills to potentially advance our understanding of this debilitating condition. I have utilized fMRI independent component analysis (ICA) extensively throughout my graduate studies at the University of New Mexico (UNM) and The Mind Research Network (MRN) – the institute that has developed and curated the Group ICA for fMRI Toolbox (GIFT). During my postdoctoral fellowship at Stanford University, I implemented the Automated Fiber Quantification (AFQ) toolbox for granular spatial analysis of white matter fiber tracts following traumatic brain injury (TBI). I am currently seeking to use the two methods, both separately and multi-modally, as I attempt to make an entry into the field of Alzheimer’s disease neuroimaging. Specifically, using resting-state fMRI and DTI, the proposed analysis seeks to use the ADNI data to 1) investigate the extent to which pairwise functional network connectivity (FNC) strengths reflect the integrity levels of the white matter connections that underlie them; 2) compare the degrees of this structure-function coupling between normally-aging control subjects and patients with Alzheimer’s disease; and 3) examine the trajectory of this relationship as a function of age across study groups. It is my hope that the dynamics of this interaction in AD could reveal the hierarchy of disease progression in terms of which aspect of this structure-function homeostasis is affected preferentially. I thank you for your consideration and am happy to address any questions or concerns you may have regarding my intended use of these data. |
| Additional Investigators | |
| Investigator's Name: | Sephira Ryman |
| Proposed Analysis: | As an addition to the original proposal (attached below), we aim to utilize Dr. Ryman's Neuropsychological expertise to examine cognitive outcome variables as part of our study. In addition, Dr. Ryman will assist in incorporating PET data into the multi-modal analysis. ________________________________________ Original Study Description: It is with great excitement that I submit my request for data access to the ADNI project, as I seek to apply my methodological skills to potentially advance our understanding of this debilitating condition. I have utilized fMRI independent component analysis (ICA) extensively throughout my graduate studies at the University of New Mexico (UNM) and The Mind Research Network (MRN) – the institute that has developed and curated the Group ICA for fMRI Toolbox (GIFT). During my postdoctoral fellowship at Stanford University, I implemented the Automated Fiber Quantification (AFQ) toolbox for granular spatial analysis of white matter fiber tracts following traumatic brain injury (TBI). I am currently seeking to use the two methods, both separately and multi-modally, as I attempt to make an entry into the field of Alzheimer’s disease neuroimaging. Specifically, using resting-state fMRI and DTI, the proposed analysis seeks to use the ADNI data to 1) investigate the extent to which pairwise functional network connectivity (FNC) strengths reflect the integrity levels of the white matter connections that underlie them; 2) compare the degrees of this structure-function coupling between normally-aging control subjects and patients with Alzheimer’s disease; and 3) examine the trajectory of this relationship as a function of age across study groups. It is my hope that the dynamics of this interaction in AD could reveal the hierarchy of disease progression in terms of which aspect of this structure-function homeostasis is affected preferentially. I thank you for your consideration and am happy to address any questions or concerns you may have regarding my intended use of these data. |
| Investigator's Name: | Alexandra Hartman |
| Proposed Analysis: | Research assistant Alexandra Hartman is being added to be involved in data organization and analyses of imaging and behavioral data as appropriate. UPDATED (2020-02-04): As an addition to the original proposal (attached below), we aim to utilize Dr. Ryman's Neuropsychological expertise to examine cognitive outcome variables as part of our study. In addition, Dr. Ryman will assist in incorporating PET data into the multi-modal analysis. ORIGINAL STUDY DESCRIPTION: It is with great excitement that I submit my request for data access to the ADNI project, as I seek to apply my methodological skills to potentially advance our understanding of this debilitating condition. I have utilized fMRI independent component analysis (ICA) extensively throughout my graduate studies at the University of New Mexico (UNM) and The Mind Research Network (MRN) – the institute that has developed and curated the Group ICA for fMRI Toolbox (GIFT). During my postdoctoral fellowship at Stanford University, I implemented the Automated Fiber Quantification (AFQ) toolbox for granular spatial analysis of white matter fiber tracts following traumatic brain injury (TBI). I am currently seeking to use the two methods, both separately and multi-modally, as I attempt to make an entry into the field of Alzheimer’s disease neuroimaging. Specifically, using resting-state fMRI and DTI, the proposed analysis seeks to use the ADNI data to 1) investigate the extent to which pairwise functional network connectivity (FNC) strengths reflect the integrity levels of the white matter connections that underlie them; 2) compare the degrees of this structure-function coupling between normally-aging control subjects and patients with Alzheimer’s disease; and 3) examine the trajectory of this relationship as a function of age across study groups. It is my hope that the dynamics of this interaction in AD could reveal the hierarchy of disease progression in terms of which aspect of this structure-function homeostasis is affected preferentially. I thank you for your consideration and am happy to address any questions or concerns you may have regarding my intended use of these data. |
| Investigator's Name: | David Stone |
| Proposed Analysis: | Dr. Stone will be assisting with the analysis of DTI and white matter hyperintensity quantification. Here we seek to examine whether tract-specific hyperintensity loads can differentially predict disease progression. |
| Investigator's Name: | Christopher Wertz |
| Proposed Analysis: | Christopher Wertz is a research assistant who will be helping with the analysis by examining neuropsychological variables as well as pre-processing of the neuroimaging data. |
