TY - JOUR
T1 - Quantification of baseline amyloid PET in individuals with subjective cognitive decline can identify risk of amyloid accumulation and cognitive worsening
T2 - the FACEHBI study
AU - on behalf of the AMYPAD consortium
AU - on behalf of the FACEHBI study group
AU - Kolinger, Guilherme Domingues
AU - Sotolongo-Grau, Oscar
AU - Roé-Vellvé, Núria
AU - Tartari, Juan Pablo
AU - Sanabria, Ángela
AU - Pérez-Martínez, Esther
AU - Koglin, Norman
AU - Stephens, Andrew W.
AU - Alegret, Montserrat
AU - Tárraga, Lluís
AU - Gurruchaga, Miren Jone
AU - Ruiz, Agustín
AU - Boada, Mercè
AU - Bullich, Santiago
AU - Marquié, Marta
AU - Vivas, A.
AU - Vargas, L.
AU - Valero, S.
AU - Torres, M.
AU - Terencio, J.
AU - Tejero, M. A.
AU - Tárraga, L.
AU - Tartari, J. P.
AU - Stephens, A.
AU - Sotolongo-Grau, O.
AU - Seguer, S.
AU - Sarasa, M.
AU - Sanz-Cartagena, P.
AU - Sanabria, A.
AU - Ruiz, A.
AU - Rosende-Roca, M.
AU - Romero, J.
AU - Roé-Vellvé, N.
AU - Rodríguez, J.
AU - Ramis, M. I.
AU - Pytel, V.
AU - Puerta, R.
AU - Preckler, S.
AU - Perissinotti, A.
AU - Pascual-Lucas, M.
AU - Pérez-Grijalba, V.
AU - Pérez-Cordon, A.
AU - Pérez-Martínez, E.
AU - Pelejà, E.
AU - Pancho, A.
AU - Páez, A.
AU - Ortega, G.
AU - Orellana, A.
AU - Olivé, C.
AU - Núñez, L.
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/8
Y1 - 2025/8
N2 - Purpose: Amyloid PET imaging is capable of measuring brain amyloid load in vivo. The aim of this study is to assess the relationship of the baseline amyloid with its accumulation over time and with cognition in individuals with subjective cognitive decline (SCD), giving a focus on those below Aβ positivity thresholds. Methods: 118 of 197 individuals with SCD from the Fundació ACE Healthy Brain Initiative underwent three [18F]florbetaben scans and the remaining 79 underwent two scans in a 5-year span. Individuals were categorised based on baseline Centiloid values (CL) into amyloid positive (Aβ+; CL > 35.7), Grey Zone (GZ; 20 < CL ≤ 35.7), and amyloid negative (Aβ-; CL ≤ 20). Relationship between conversion to mild cognitive decline (MCI) and baseline amyloid levels was assessed. Then, to focus on sub-threshold individuals with amyloid accumulation, the Aβ- group was split into two groups (N1 (CL ≤ 13.5) and N2 (13.5 < CL ≤ 20)), Aβ accumulation was determined, and a parametric image analysis of the Aβ accumulators in the N1 group was performed. Results: At baseline, 20 individuals were Aβ+, 8 GZ, 160 N1, and 9 N2. Higher Aβ load, older and less educated individuals presented increased risk of MCI-conversion. Longitudinally, 19% of N1 individuals were accumulators despite very low Aβ burden at baseline. Meanwhile, 89% of the N2 group accumulated Aβ as well as all GZ individuals (which had the highest rate of amyloid accumulation, 5.1 CL/year). In the parametric image analysis of N1 accumulators, a region within the precuneus was linked to increased Aβ over time. Conclusion: Baseline amyloid levels differentiate individuals who accumulate amyloid over time and that are at risk for cognitive decline, including those at sub-threshold levels of Aβ. This can be valuable to identify pre-clinical AD in a SCD population.
AB - Purpose: Amyloid PET imaging is capable of measuring brain amyloid load in vivo. The aim of this study is to assess the relationship of the baseline amyloid with its accumulation over time and with cognition in individuals with subjective cognitive decline (SCD), giving a focus on those below Aβ positivity thresholds. Methods: 118 of 197 individuals with SCD from the Fundació ACE Healthy Brain Initiative underwent three [18F]florbetaben scans and the remaining 79 underwent two scans in a 5-year span. Individuals were categorised based on baseline Centiloid values (CL) into amyloid positive (Aβ+; CL > 35.7), Grey Zone (GZ; 20 < CL ≤ 35.7), and amyloid negative (Aβ-; CL ≤ 20). Relationship between conversion to mild cognitive decline (MCI) and baseline amyloid levels was assessed. Then, to focus on sub-threshold individuals with amyloid accumulation, the Aβ- group was split into two groups (N1 (CL ≤ 13.5) and N2 (13.5 < CL ≤ 20)), Aβ accumulation was determined, and a parametric image analysis of the Aβ accumulators in the N1 group was performed. Results: At baseline, 20 individuals were Aβ+, 8 GZ, 160 N1, and 9 N2. Higher Aβ load, older and less educated individuals presented increased risk of MCI-conversion. Longitudinally, 19% of N1 individuals were accumulators despite very low Aβ burden at baseline. Meanwhile, 89% of the N2 group accumulated Aβ as well as all GZ individuals (which had the highest rate of amyloid accumulation, 5.1 CL/year). In the parametric image analysis of N1 accumulators, a region within the precuneus was linked to increased Aβ over time. Conclusion: Baseline amyloid levels differentiate individuals who accumulate amyloid over time and that are at risk for cognitive decline, including those at sub-threshold levels of Aβ. This can be valuable to identify pre-clinical AD in a SCD population.
KW - Alzheimer’s disease
KW - Amyloid PET
KW - FACEHBI
KW - Florbetaben
KW - Longitudinal study
KW - Subjective Cognitive Decline
UR - https://www.scopus.com/pages/publications/105003402996
UR - https://www.scopus.com/pages/publications/105003402996#tab=citedBy
U2 - 10.1007/s00259-025-07270-7
DO - 10.1007/s00259-025-07270-7
M3 - Article
C2 - 40263206
AN - SCOPUS:105003402996
SN - 1619-7070
VL - 52
SP - 3578
EP - 3590
JO - European Journal of Nuclear Medicine and Molecular Imaging
JF - European Journal of Nuclear Medicine and Molecular Imaging
IS - 10
ER -