Brain Metabolism and Amyloid Load in Individuals With Subjective Cognitive Decline or Pre–Mild Cognitive Impairment. (19th July 2022)

• Record Type: Journal Article
• Authors: Tondo, Giacomo; Boccalini, Cecilia; Vanoli, Emilia Giovanna; Presotto, Luca; Muscio, Cristina; Ciullo, Valentina; Banaj, Nerisa; Piras, Federica; Filippini, Graziella; Tiraboschi, Pietro; Tagliavini, Fabrizio; Frisoni, Giovanni Battista; Cappa, Stefano F.; Spalletta, Gianfranco; Perani, Daniela
• Is Part Of: Neurology. Volume 99:Number 3(2022)
• Page Start: e258
• Page End: e269
• Publication Date: 2022-07-19
• Subjects: Neurology -- Periodicals; Neurology -- Periodicals; Neurologie -- Périodiques; 616.8
• DOI: 10.1212/WNL.0000000000200351
• Languages: English
• ISSNs: 0028-3878

Abstract

Abstract : Background and Objective: This was a multicenter study aimed at investigating the characteristics of cognitive decline, neuropsychiatric symptoms, and brain imaging in individuals with subjective cognitive decline (SCD) and subtle cognitive decline (pre–mild cognitive impairment [pre–MCI]). Methods: Data were obtained from the Network-AD project (NET-2011-02346784). The included participants underwent baseline cognitive and neurobehavioral evaluation, FDG-PET, and amyloid PET. We used principal component analysis (PCA) to identify independent neuropsychological and neuropsychiatric dimensions and their association with brain metabolism. Results: A total of 105 participants (SCD = 49, pre–MCI = 56) were included. FDG-PET was normal in 45% of participants and revealed brain hypometabolism in 55%, with a frontal-like pattern as the most frequent finding (28%). Neuropsychiatric symptoms emerging from the Neuropsychiatric Inventory and the Starkstein Apathy Scale were highly prevalent in the whole sample (78%). An abnormal amyloid load was detected in the 18% of the participants who underwent amyloid PET (n = 60). PCA resulted in 3 neuropsychological factors: (1) executive/visuomotor, correlating with hypometabolism in frontal and occipital cortices and basal ganglia; (2) memory, correlating with hypometabolism in temporoparietal regions; and (3) visuospatial/constructional, correlating with hypometabolism in frontoparietal cortices. Two factors emerged from the neuropsychiatric PCA: (1) affective, correlating with hypometabolism in orbitofrontal and cingulate cortex and insula; (2) hyperactive/psychotic, correlating with hypometabolism in frontal, temporal, and parietal regions. Discussion: FDG-PET evidence suggests either normal brain function or different patterns of brain hypometabolism in SCD and pre–MCI. These results indicate that SCD and pre–MCI represent heterogeneous populations. Different neuropsychological and neuropsychiatric profiles emerged, which correlated with neuronal dysfunction in specific brain regions. Long-term follow-up studies are needed to assess the risk of progression to dementia in these conditions.