Brain and cognitive correlates of subjective cognitive decline-plus features in a population-based cohort

• Published in: Alzheimer's research & therapy Vol. 10; no. 1; pp. 123 - 13
• Main Authors: Sánchez-Benavides, Gonzalo, Grau-Rivera, Oriol, Suárez-Calvet, Marc, Minguillon, Carolina, Cacciaglia, Raffaele, Gramunt, Nina, Falcon, Carles, Gispert, Juan Domingo, Molinuevo, José Luis
• Format: Journal Article
• Language: English
• Published: London BioMed Central 20.12.2018; BioMed Central Ltd; BMC
• Subjects: Alzheimer's disease; Biomedical and Life Sciences; Biomedicine; Brain - anatomy & histology; Brain - diagnostic imaging; Brain research; Care and treatment; Cognition & reasoning; Cognitive ability; Cognitive disorders; Cognitive Dysfunction - diagnostic imaging; Cognitive Dysfunction - epidemiology; Cognitive Dysfunction - psychology; Cohort Studies; Dementia; Disease; Executive Function; Female; Genotype & phenotype; Geriatric Psychiatry; Geriatrics/Gerontology; Humans; Magnetic Resonance Imaging; Male; Medical imaging; Memory; Middle Aged; Neurology; Neuropsychological Tests; Neurosciences; Older people; Population; Risk factors; Self Report; Subject Cognitive Decline; Subjective cognitive decline; Voxel-based morphometry; New York; United States > US; Subjective cognitive decline; Memory; Voxel-based morphometry
• ISSN: 1758-9193; 1758-9193
• DOI: 10.1186/s13195-018-0449-9

Background Subjective cognitive decline (SCD) consists of self-perceived decline in cognition over time. The occurrence of specific additional features in SCD (so-called SCDplus) confers a higher risk of future cognitive decline. However, it is not known whether SCDplus patients have a distinct cognitive and neuroimaging profile. Therefore, we aimed to study the associations between SCDplus features and cognitive and neuroimaging profiles in a population-based cohort. Methods A total of 2670 individuals from the ALFA cohort underwent clinical, cognitive, and MRI ( n  = 532) explorations. Subjects were classified as self-reporting cognitive decline (SCD) or not self-reporting cognitive decline (non-SCD). Within the SCD group, participants were also classified according to the number of SCDplus features they met (SCD+, > 3; SCD–, ≤ 3). Results The prevalence of SCD in the cohort was 21.4% (55.8% SCD–, 44.2% SCD+). SCD+ subjects performed worse than non-SCD and SCD– subjects in memory and executive function. Among the SCDplus features, confirmation of decline by an informant was the best predictor of worse cognitive performance and lower gray matter volumes. Conclusions Our findings show that individuals with SCDplus features have a distinct cognitive and brain volumetric profile similar to that found in Alzheimer’s disease and therefore support the use of the SCDplus concept as an enrichment criterion in population-based cohorts.