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: | BRAHIM BAHANI |
| Institution: | National School of Arts and Crafts |
| Department: | Biomedical Engineering |
| Country: | |
| Proposed Analysis: | The proposed analysis of the ADNI (Alzheimer's Disease Neuroimaging Initiative) dataset will involve the following specific steps: Preprocessing of the data: The MRI data will be preprocessed using standard techniques to correct for image artifacts, noise, and distortion, and to align the images to a common template. The PET data will be corrected for attenuation and scatter using available algorithms. Generation of multimodal biomarkers: The preprocessed MRI and PET images will be combined to generate multimodal biomarkers that can provide a more comprehensive and accurate assessment of the disease status. This will be done using advanced image fusion techniques that can accurately combine the two modalities while preserving their unique features. Analysis of the biomarkers: The generated biomarkers will be analyzed using advanced machine learning techniques to identify patterns and correlations with clinical variables such as age, gender, and disease stage. Prediction of disease progression: The identified biomarkers will be used to develop predictive models for disease progression, based on longitudinal data from the ADNI dataset. These models will be validated using independent datasets and cross-validation techniques to ensure their robustness and generalizability. Investigation of treatment effects: The identified biomarkers will be used to investigate the effects of different treatment strategies on disease progression and brain structure/function. This will be done by comparing biomarker profiles between treated and untreated groups, and by assessing changes in biomarkers over time in response to treatment. Overall, the proposed analysis of the ADNI dataset aims to provide new insights into the underlying neural mechanisms of Alzheimer's disease, and to facilitate the development of new diagnostic and therapeutic strategies. |
| Additional Investigators |
