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000864642 1001_ $$0P:(DE-Juel1)167565$$aRichter, Nils$$b0$$eCorresponding author
000864642 245__ $$aSpatial distributions of cholinergic impairment and neuronal hypometabolism differ in MCI due to AD
000864642 260__ $$a[Amsterdam u.a.]$$bElsevier$$c2019
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000864642 520__ $$aElucidating the relationship between neuronal metabolism and the integrity of the cholinergic system is prerequisite for a profound understanding of cholinergic dysfunction in Alzheimer's disease.The cholinergic system can be investigated specifically using positron emission tomography (PET) with [11C]N-methyl-4-piperidyl-acetate (MP4A), while neuronal metabolism is often assessed with 2-deoxy-2-[18F]fluoro-d-glucose-(FDG) PET. We hypothesised a close correlation between MP4A-perfusion and FDG-uptake, permitting inferences about metabolism from MP4A-perfusion, and investigated the patterns of neuronal hypometabolism and cholinergic impairment in non-demented AD patients.MP4A-PET was performed in 18 cognitively normal adults and 19 patients with mild cognitive impairment (MCI) and positive AD biomarkers. In nine patients with additional FDG-PET, the sum images of every combination of consecutive early MP4A-frames were correlated with FDG-scans to determine the optimal time window for assessing MP4A-perfusion. Acetylcholinesterase (AChE) activity was estimated using a 3-compartmental model. Group comparisons of MP4A-perfusion and AChE-activity were performed using the entire sample.The highest correlation between MP4A-perfusion and FDG-uptake across the cerebral cortex was observed 60–450 s after injection (r = 0.867). The patterns of hypometabolism (FDG-PET) and hypoperfusion (MP4A-PET) in MCI covered areas known to be hypometabolic early in AD, while AChE activity was mainly reduced in the lateral temporal cortex and the occipital lobe, sparing posterior midline structures.Data indicate that patterns of cholinergic impairment and neuronal hypometabolism differ significantly at the stage of MCI in AD, implying distinct underlying pathologies, and suggesting potential predictors of the response to cholinergic pharmacotherapy.
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000864642 7001_ $$0P:(DE-Juel1)170079$$aNellessen, Nils$$b1
000864642 7001_ $$0P:(DE-Juel1)162382$$aDronse, Julian$$b2
000864642 7001_ $$0P:(DE-Juel1)136676$$aDillen, Kim$$b3
000864642 7001_ $$0P:(DE-Juel1)144971$$aJacobs, Heidi$$b4
000864642 7001_ $$0P:(DE-Juel1)131777$$aLangen, Karl-Josef$$b5
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000864642 7001_ $$0P:(DE-HGF)0$$aDietlein, Markus$$b7
000864642 7001_ $$0P:(DE-Juel1)166419$$aNeumaier, Bernd$$b8
000864642 7001_ $$0P:(DE-Juel1)131720$$aFink, Gereon R.$$b9
000864642 7001_ $$0P:(DE-Juel1)131730$$aKukolja, Juraj$$b10
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000864642 773__ $$0PERI:(DE-600)2701571-3$$a10.1016/j.nicl.2019.101978$$gVol. 24, p. 101978 -$$p101978 -$$tNeuroImage: Clinical$$v24$$x2213-1582$$y2019
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