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Abstract
Background: Most scientists agree that early detection and prevention of Alzheimer’s disease (AD) would be more effective than trying to cure it. However, current AD biomarkers as lumbar puncture or PET are too invasive/expensive, and not widely available. The most currently used biomarker for AD is hippocampal atrophy assessed by MRI. Yet, this measure is not specific for AD. We therefore aim to develop more specific MRI biomarkers for AD. Objectives: The aim of this research project is to study the impact of tau pathology on the medial temporal lobe which is affected in many age-related neurodegenerative diseases. Ultimately, we aim to refine AD MRI biomarkers to make them more specific for AD. To this end, we will use a double original approach by studying the impact of tau on MTL atrophy using in-vivo PET and MRI data; and by identifying AD specific lesions with the finest spatial resolution using ultra-high field MRI on post-mortem brain samples. Methods: First, we will evaluate the in-vivo association between the anatomy and tau pathology by correlating in-vivo measurements of tau pathology quantified by Tau-PET with measures of hippocampal atrophy and cortical thinning assessed by 3T MRI in a cohort of AD patients and controls. Subsequently, we will use ultra-high field MRI (11.7T) and detailed histopathological analysis on post-mortem brains of AD patients and controls to describe atrophy due to AD-specific neuropathologies with extremely fine spatial resolution. Finally, to further refine the current AD-biomarkers, we aim to replicate our observations from post-mortem analysis at lower MRI fields, available in living humans. To this end, we will perform MRI scans of the same MTL specimens at 3T and 7T and propose 7T MRI to a small subset of patients before finally exporting the results to 3T, a field commonly available in the clinic.
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Salman, Y., Joudiou, N., Gallez, B., Hanseeuw, B., & et al. (2023). A pathological and anatomical study of Alzheimer’s disease using post-mortem and in-vivo imaging data. Belgian Alzheimer Young Researcher Symposium, Mechelen. https://hdl.handle.net/2078.5/273431