RESUMO
PROPOSE: This study aims to explore the use of the Centiloid (CL) method in amyloid-ß PET quantification to evaluate distinct cognitive aging stages, investigating subjects' mismatch classification using different cut-points for amyloid-ß positivity. PROCEDURES: The CL equation was applied in four groups of individuals: SuperAgers (SA), healthy age-matched controls (AC), healthy middle-aged controls (MC), and Alzheimer's disease (AD). The amyloid-ß burden was calculated and compared between groups and quantitative variables. Three different cut-points (Jack CR, Wiste HJ, Weigand SD, et al., Alzheimer's Dement 13:205-216, 2017; Salvadó G, Molinuevo JL, Brugulat-Serrat A, et al., Alzheimer's Res Ther 11:27, 2019; and Amadoru S, Doré V, McLean CA, et al., Alzheimer's Res Ther 12:22, 2020) were applied in CL values to differentiate the earliest abnormal pathophysiological accumulation of Aß and the established Aß pathology. RESULTS: The AD group exhibited a significantly increased Aß burden compared to the MC, but not AC groups. Both healthy control (MC and AC) groups were not significantly different. Visually, the SA group showed a diverse distribution of CL values compared with MC; however, the difference was not significant. The CL values have a moderate and significant relationship between Aß visual read, RAVLT DR and MMSE. Depending on the cut-point used, 10 CL, 19 CL, or 30 CL, 7.5% of our individuals had a different classification in the Aß positivity. For the AC group, we obtained about 40 to 60% of the individuals classified as positive. CONCLUSION: SuperAgers exhibited a similar Aß load to AC and MC, differing in cognitive performance. Independently of cut-point used (10 CL, 19 CL, or 30 CL), three SA individuals were classified as Aß positive, showing the duality between the individual's clinics and the biological definition of Alzheimer's. Different cut-points lead to Aß positivity classification mismatch in individuals, and an extra care is needed for individuals who have a CL value between 10 and 30 CL.
Assuntos
Doença de Alzheimer , Envelhecimento Cognitivo , Doença de Alzheimer/diagnóstico por imagem , Doença de Alzheimer/patologia , Peptídeos beta-Amiloides , Compostos de Anilina , Humanos , Pessoa de Meia-Idade , Tomografia por Emissão de Pósitrons/métodosRESUMO
BACKGROUND: Individuals at 80 years of age or above with exceptional memory are considered SuperAgers (SA), an operationalized definition of successful cognitive aging. SA showed increased thickness and altered functional connectivity in the anterior cingulate cortex as a neurobiological signature. However, their metabolic alterations are yet to be uncovered. OBJECTIVE: Herein, a metabolic (FDG-PET), amyloid (PIB-PET), and functional (fMRI) analysis of SA were conducted. METHODS: Ten SA, ten age-matched older adults (C80), and ten cognitively normal middle-aged (C50) adults underwent cognitive testing and multimodal neuroimaging examinations. Anterior and posterior regions of the cingulate cortex and hippocampal areas were primarily examined, then subregions of anterior cingulate were segregated. RESULTS: The SA group showed increased metabolic activity in the left and right subgenual anterior cingulate cortex (sACC, pâ<â0.005 corrected, bilateral) and bilateral hippocampi (right: pâ<â0.0005 and left: pâ<â0.005, both corrected) as compared to that in the C80 group. Amyloid deposition was above threshold in 30% of SA and C80 (pâ>â0.05). The SA group also presented decreased connectivity between right sACC and posterior cingulate (pâ<â0.005, corrected) as compared to that of the C80 group. CONCLUSION: These results support the key role of sACC and hippocampus in SA, even in the presence of amyloid deposition. It also suggests that sACC may be used as a potential biomarker in older adults for exceptional memory ability. Further longitudinal studies measuring metabolic biomarkers may help elucidate the interaction between these areas in the cognitive aging process.