Data‑driven cognitive composites predict Aβ‑related decline and progression to MCI: the ADOPIC study.

Bhargav Tallapragada; Brook Galna; Rosita Shishegar; Shaun J Markovic; Belinda M Brown; Vincent Dore; Simon M Laws; Tenielle Porter; Samantha Burnham; Yen Ying Lim; Jason Hassenstab; Christopher C Rowe; Liang Jin; Jurgen Fripp; James D Doecke; Duygu Tosun; Michael Weiner; Ralph N Martins; John C Morris; Colin L Masters; Paul Maruff; Hamid R Sohrabi; of ADOPIC study

Journal article

Data‑driven cognitive composites predict Aβ‑related decline and progression to MCI: the ADOPIC study.

Bhargav Tallapragada, Brook Galna, Rosita Shishegar, Shaun J Markovic, Belinda M Brown, Vincent Dore, Simon M Laws, Tenielle Porter, Samantha Burnham, Yen Ying Lim, Jason Hassenstab, Christopher C Rowe, Liang Jin, Jurgen Fripp, James D Doecke, Duygu Tosun, Michael Weiner, Ralph N Martins, John C Morris, Colin L Masters Show all

Alzheimers Dement | Wiley | Published : 2026

DOI: 10.1002/alz.71917

Abstract

INTRODUCTION: Cognitive composites offer greater sensitivity to amyloid beta (Aβ)-related decline compared to individual tests for tracking longitudinal cognitive change. We developed and validated data-driven composites from the harmonized Alzheimer's Dementia Onset and Progression in International Cohorts (ADOPIC) study, addressing gaps in psychometric reporting and multi-cohort validation. METHODS: The study included 1964 cognitively unimpaired (CU) participants at baseline (longitudinal subset = 1110). Principal component analysis-derived domain-specific and general cognitive composites were evaluated for psychometric properties, sensitivity to Aβ-related decline, and mild cognitive impa..

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