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01.12.2018 | Review | Ausgabe 1/2018 Open Access

Translational Neurodegeneration 1/2018

Cerebral glucose metabolic prediction from amnestic mild cognitive impairment to Alzheimer’s dementia: a meta-analysis

Translational Neurodegeneration > Ausgabe 1/2018
Hai Rong Ma, Li Qin Sheng, Ping Lei Pan, Gen Di Wang, Rong Luo, Hai Cun Shi, Zhen Yu Dai, Jian Guo Zhong
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The online version of this article (https://​doi.​org/​10.​1186/​s40035-018-0114-z) contains supplementary material, which is available to authorized users.


Brain 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) has been utilized to monitor disease conversion from amnestic mild cognitive impairment (aMCI) to Alzheimer’s dementia (AD). However, the conversion patterns of FDG-PET metabolism across studies are not conclusive. We conducted a voxel-wise meta-analysis using Seed-based d Mapping that included 10 baseline voxel-wise FDG-PET comparisons between 93 aMCI converters and 129 aMCI non-converters from nine longitudinal studies. The most robust and reliable metabolic alterations that predicted conversion from aMCI to AD were localized in the left posterior cingulate cortex (PCC)/precuneus. Furthermore, meta-regression analyses indicated that baseline mean age and severity of cognitive impairment, and follow-up duration were significant moderators for metabolic alterations in aMCI converters. Our study revealed hypometabolism in the left PCC/precuneus as an early feature in the development of AD. This finding has important implications in understanding the neural substrates for AD conversion and could serve as a potential imaging biomarker for early detection of AD as well as for tracking disease progression at the predementia stage.
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