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: | Filippo Cieri |
| Institution: | Cleveland Clinic |
| Department: | Neurology |
| Country: | |
| Proposed Analysis: | Longitudinal Study of Ageing designed to assess specific fMRI biomarkers of Alzheimer’s Disease (AD). For example how changes in resting state networks can change between healthy subjects, MCI and AD subjects, longitudinally, studying possible conversions. Specifically analysis of Permutation Entropy in whole brain and in specific resting state networks as DMN or DAN, with their differences between group and in longitudinal way. Also research of hypothetical cognitive reserve factors. |
| Additional Investigators | |
| Investigator's Name: | Jessica Caldwell |
| Proposed Analysis: | Materials and Methods Subjects. 193 participants with resting-state fMRI and T1 MRI data available in the ADNI database were included. Subjects were scanned on 3.0 Tesla Philips MRI scanners and diagnosed as NCs (27 men/33 women, age 75.9±5.6 years, education 16.5±2.4), eMCI (39 men/31 women, age 73.6±7.0 years, education 15.9±2.8) or AD (36 men/27 women, age 73.5±8.4, education 15.9±2.7). Rey Auditory Verbal Learning Test (RAVLT): We assessed verbal learning and recall with RAVLT total immediate recall (i.e., total of 5 learning trials), learning (i.e., total immediate recall – Trial 1 total), and delayed recall scores (Rey, 1964). MRI data. Structural MRI scans were collected with 24cm field of view, 256x256x170 resolution, for 1x1x1.2mm3 voxel size. Standard echo-planar imaging sequence was used to collect rs-fMRI data with 140 time points, TR/TE=3000/30 ms, flip angle=80 degrees, 48 slices, spatial resolution=3.3x 3.3x3.3mm3 and imaging matrix=64 x 64. The first five volumes were discarded. Preprocessing steps included slice-timing correction, realignment, coregistration to skull-stripped T1 images and spatial normalization to MNI152 2mm template space. Graph Theory Analysis. With the functional network generated with AAL atlas (Tzourio-Mazoyer et al., 2002), graph theory analysis was applied using GRETNA toolbox (Wang et al., 2015). We specifically calculated degree centrality (DC), global efficiency (GE), local efficiency (LE), clustering coefficient (Cp), and characteristic path length (Lp). Data Analysis. 2-sample t-tests were applied to evaluate differences between women and men in each diagnostic group on memory scores and graph theory metrics. ANCOVA was used to evaluate the interactive effect of sex, diagnosis, and network metrics on memory scores. A post-hoc generalized linear regression model then was applied to test the significance of the association in each diagnostic group for women and men separately. Age, handedness and education were included as confounding factors in ANCOVA and regression analyses. |
| Investigator's Name: | Zhengshi Yang |
| Proposed Analysis: | Materials and Methods Subjects. 193 participants with resting-state fMRI and T1 MRI data available in the ADNI database were included. Subjects were scanned on 3.0 Tesla Philips MRI scanners and diagnosed as NCs (27 men/33 women, age 75.9±5.6 years, education 16.5±2.4), eMCI (39 men/31 women, age 73.6±7.0 years, education 15.9±2.8) or AD (36 men/27 women, age 73.5±8.4, education 15.9±2.7). Rey Auditory Verbal Learning Test (RAVLT): We assessed verbal learning and recall with RAVLT total immediate recall (i.e., total of 5 learning trials), learning (i.e., total immediate recall – Trial 1 total), and delayed recall scores (Rey, 1964). MRI data. Structural MRI scans were collected with 24cm field of view, 256x256x170 resolution, for 1x1x1.2mm3 voxel size. Standard echo-planar imaging sequence was used to collect rs-fMRI data with 140 time points, TR/TE=3000/30 ms, flip angle=80 degrees, 48 slices, spatial resolution=3.3x 3.3x3.3mm3 and imaging matrix=64 x 64. The first five volumes were discarded. Preprocessing steps included slice-timing correction, realignment, coregistration to skull-stripped T1 images and spatial normalization to MNI152 2mm template space. Graph Theory Analysis. With the functional network generated with AAL atlas (Tzourio-Mazoyer et al., 2002), graph theory analysis was applied using GRETNA toolbox (Wang et al., 2015). We specifically calculated degree centrality (DC), global efficiency (GE), local efficiency (LE), clustering coefficient (Cp), and characteristic path length (Lp). Data Analysis. 2-sample t-tests were applied to evaluate differences between women and men in each diagnostic group on memory scores and graph theory metrics. ANCOVA was used to evaluate the interactive effect of sex, diagnosis, and network metrics on memory scores. A post-hoc generalized linear regression model then was applied to test the significance of the association in each diagnostic group for women and men separately. Age, handedness and education were included as confounding factors in ANCOVA and regression analyses. |
| Investigator's Name: | Dietmar Cordes |
| Proposed Analysis: | Materials and Methods Subjects. 193 participants with resting-state fMRI and T1 MRI data available in the ADNI database were included. Subjects were scanned on 3.0 Tesla Philips MRI scanners and diagnosed as NCs (27 men/33 women, age 75.9±5.6 years, education 16.5±2.4), eMCI (39 men/31 women, age 73.6±7.0 years, education 15.9±2.8) or AD (36 men/27 women, age 73.5±8.4, education 15.9±2.7). Rey Auditory Verbal Learning Test (RAVLT): We assessed verbal learning and recall with RAVLT total immediate recall (i.e., total of 5 learning trials), learning (i.e., total immediate recall – Trial 1 total), and delayed recall scores (Rey, 1964). MRI data. Structural MRI scans were collected with 24cm field of view, 256x256x170 resolution, for 1x1x1.2mm3 voxel size. Standard echo-planar imaging sequence was used to collect rs-fMRI data with 140 time points, TR/TE=3000/30 ms, flip angle=80 degrees, 48 slices, spatial resolution=3.3x 3.3x3.3mm3 and imaging matrix=64 x 64. The first five volumes were discarded. Preprocessing steps included slice-timing correction, realignment, coregistration to skull-stripped T1 images and spatial normalization to MNI152 2mm template space. Graph Theory Analysis. With the functional network generated with AAL atlas (Tzourio-Mazoyer et al., 2002), graph theory analysis was applied using GRETNA toolbox (Wang et al., 2015). We specifically calculated degree centrality (DC), global efficiency (GE), local efficiency (LE), clustering coefficient (Cp), and characteristic path length (Lp). Data Analysis. 2-sample t-tests were applied to evaluate differences between women and men in each diagnostic group on memory scores and graph theory metrics. ANCOVA was used to evaluate the interactive effect of sex, diagnosis, and network metrics on memory scores. A post-hoc generalized linear regression model then was applied to test the significance of the association in each diagnostic group for women and men separately. Age, handedness and education were included as confounding factors in ANCOVA and regression analyses. |
