Brain Neuroimaging Preprocessing for investigating the progression of Alzheimer's disease
||Brain Neuroimaging Preprocessing for investigating the progression of Alzheimer's disease|
||NAISS Small Compute|
||Yu-Wei Chang <firstname.lastname@example.org>|
||2023-05-24 – 2024-06-01|
Alzheimer's disease (AD) is a slowly evolving neuropathological disorder that starts with a long preclinical phase characterized by mild cognitive impairment (MCI) and eventually progresses to clinically evident dementia. Neuroimaging biomarkers play a crucial role in the early detection and monitoring of AD, and different neuroimaging modalities have been utilized for predicting and validating AD. This project aims to preprocess various neuroimaging modalities in AD, including structural magnetic resonance imaging (sMRI), functional magnetic resonance imaging (fMRI), diffusion-weighted imaging (DWI), and positron emission tomography (PET). Each modality provides unique insights into the structure, function, and microstructural properties of the brain, both in healthy individuals and patients with neurodegenerative and psychiatric disorders. With the accumulation of large-scale, high-quality brain imaging data, efficient preprocessing using substantial computing resources is essential to enable advanced analysis techniques, such as deep learning, for a comprehensive understanding of brain organization.