1. Neuroimaging and other modalities to assess Alzheimer's disease in Down syndrome.
- Author
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Neale N, Padilla C, Fonseca LM, Holland T, and Zaman S
- Subjects
- Alzheimer Disease pathology, Diffusion Tensor Imaging, Down Syndrome pathology, Electroencephalography, Humans, Magnetic Resonance Imaging, Positron-Emission Tomography, Alzheimer Disease complications, Alzheimer Disease diagnostic imaging, Brain pathology, Down Syndrome complications, Down Syndrome diagnostic imaging, Neuroimaging
- Abstract
People with Down syndrome (DS) develop Alzheimer's disease (AD) at higher rates and a younger age of onset compared to the general population. As the average lifespan of people with DS is increasing, AD is becoming an important health concern in this group. Neuroimaging is becoming an increasingly useful tool in understanding the pathogenesis of dementia development in relation to clinical symptoms. Furthermore, neuroimaging has the potential to play a role in AD diagnosis and monitoring of therapeutics. This review describes major recent findings from in vivo neuroimaging studies analysing DS and AD via ligand-based positron emission tomography (PET), [18F] fluorodeoxyglucose (FDG)-PET, structural magnetic resonance imaging (sMRI), and diffusion tensor imaging (DTI). Electroencephalography (EEG) and retinal imaging are also discussed as emerging modalities. The review is organized by neuroimaging method and assesses the relationship between cognitive decline and neuroimaging changes. We find that amyloid accumulation seen on PET occurs prior to dementia onset, possibly as a precursor to the atrophy and white matter changes seen in MRI studies. Future PET studies relating tau distribution to clinical symptoms will provide further insight into the role this protein plays in dementia development. Brain activity changes demonstrated by EEG and metabolic changes seen via FDG-PET may also follow predictable patterns that can help track dementia progression. Finally, newer approaches such as retinal imaging will hopefully overcome some of the limitations of neuroimaging and allow for detection of dementia at an earlier stage.
- Published
- 2017
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