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: | quanjiang liu |
| Institution: | McGill University |
| Department: | Neuroscience, Integrated Pgm |
| Country: | |
| Proposed Analysis: | I'm a student in dual Master's student at McGill (Canada)-China. My McGill supervisor, Dr. Marie- Helen Boudrias asks me to refine an experiment based on a previous paper she published in NeuroImage (2021) entitled: Estimating brain age from structural MRI and MEG data: Insights from dimensionality reduction techniques. In this paper, they extracted features from T1-weighted MR images and resting-state MEG data and then used PCA and ICA methods to predict the brain age of the cohort studied. They found that MRI features from subcortical structures were more reliable age predictors than cortical ones. In their 2021 publication, Dr. Boudrias and her team did not include the MEG signals from deeper structures in the analysis, just the activity of the cortical layers. So, the plan is that I redo the same analysis, but this time I would add the MEG signals from subcortical structures as described in the article: Age-related changes of deep-brain neurophysiological activity (Hinault et al., Cereb Cortex 2022). This is in order to assess if we can improve the age prediction accuracy by adding the MEG information from deeper brain structures. I thus need to access the dataset from the Cam-CAN repository as the first step to start my research project. After the second part of my research project, I plan to use some AI algorithms to build a new model to test whether it can improve age prediction. |
| Additional Investigators | |
| Investigator's Name: | weihang Wu |
| Proposed Analysis: | the same to Quanjiang Liu's |
