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Advances in longitudinal studies of amnestic mild cognitive impairment and Alzheimer’s disease based on multi-modal MRI techniques

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Abstract

Amnestic mild cognitive impairment (aMCI) is a prodromal stage of Alzheimer’s disease (AD), and 75%–80% of aMCI patients finally develop AD. So, early identification of patients with aMCI or AD is of great significance for prevention and intervention. According to cross-sectional studies, it is known that the hippocampus, posterior cingulate cortex, and corpus callosum are key areas in studies based on structural MRI (sMRI), functional MRI (fMRI), and diffusion tensor imaging (DTI) respectively. Recently, longitudinal studies using each MRI modality have demonstrated that the neuroimaging abnormalities generally involve the posterior brain regions at the very beginning and then gradually affect the anterior areas during the progression of aMCI to AD. However, it is not known whether follow-up studies based on multi-modal neuroimaging techniques (e.g., sMRI, fMRI, and DTI) can help build effective MRI models that can be directly applied to the screening and diagnosis of aMCI and AD. Thus, in the future, large-scale multi-center follow-up studies are urgently needed, not only to build an MRI diagnostic model that can be used on a single person, but also to evaluate the variability and stability of the model in the general population. In this review, we present longitudinal studies using each MRI modality separately, and then discuss the future directions in this field.

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Authors and Affiliations

  1. Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, 100053, China

    Zhongjie Hu, Liyong Wu, Jianping Jia & Ying Han

  2. Postgraduates Institute, Capital Medical University, Beijing, 100053, China

    Zhongjie Hu

  3. Alzheimer’s Disease Center, Beijing Institute for Brain Disorders, Beijing, 100053, China

    Jianping Jia & Ying Han

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Hu, Z., Wu, L., Jia, J. et al. Advances in longitudinal studies of amnestic mild cognitive impairment and Alzheimer’s disease based on multi-modal MRI techniques. Neurosci. Bull. 30, 198–206 (2014). https://doi.org/10.1007/s12264-013-1407-y

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