Magnetic resonance imaging for diagnosis of early Alzheimer's disease

Olivier Colliot 1, 2 Lorraine Hamelin 1 Marie Sarazin 3
1 ARAMIS - Algorithms, models and methods for images and signals of the human brain
UPMC - Université Pierre et Marie Curie - Paris 6, ICM - Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute, Inria de Paris
Abstract : A major challenge for neuroimaging is to contribute to the early diagnosis of Alzheimer's disease (AD). In particular, magnetic resonance imaging (MRI) allows detecting different types of structural and functional abnormalities at an early stage of the disease. Anatomical MRI is the most widely used technique and provides local and global measures of atrophy. The recent diagnostic criteria of "mild cognitive impairment due to AD" include hippocampal atrophy, which is considered a marker of neuronal injury. Advanced image analysis techniques generate automatic and reproducible measures both in the hippocampus and throughout the whole brain. Recent modalities such as diffusion-tensor imaging and resting-state functional MRI provide additional measures that could contribute to the early diagnosis but require further validation.
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Olivier Colliot, Lorraine Hamelin, Marie Sarazin. Magnetic resonance imaging for diagnosis of early Alzheimer's disease. Revue Neurologique, Elsevier Masson, 2013, 169 (10), pp.724-8. ⟨10.1016/j.neurol.2013.07.013⟩. ⟨hal-00867481⟩

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