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Brain Metabolism and Amyloid Load in Individuals With Subjective Cognitive Decline or Pre-Mild Cognitive Impairment
Giacomo Tondo1, Cecilia Boccalini1, Emilia Giovanna Vanoli1
1From Vita-Salute San Raffaele University (G.T., C.B., D.P.); In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience (G.T., C.B., L.P., D.P.), IRCCS San Raffaele Scientific Institute; Nuclear Medicine Unit (E.G.V., L.P., D.P.), San Raffaele Hospital; Unit of Neurology and Neuropathology (P.T.), Fondazione IRCCS Istituto Neurologico Carlo Besta (C.M., G.F., F.T.), Milan; Laboratory of Neuropsychiatry (V.C., N.B., F.P., G.S.), IRCCS Santa Lucia Foundation, Rome; IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli (G.B.F.), Brescia, Italy; Memory Clinic and LANVIE-Laboratory of Neuroimaging of Aging (G.B.F.), University Hospitals and University of Geneva, Switzerland; ICoN (S.F.C.), Scuola Universitaria Superiore IUSS Pavia; and IRCCS Mondino Foundation (S.F.C.), Pavia, Italy.
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.
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