Nonlinear Lifespan Trajectories of Memory and Fluid Reasoning: A Longitudinal GAMM Study
Georgette Argiris, Yaakov Stern, Christian Habeck

TL;DR
This study uses advanced statistical models to track how brain activity related to memory and reasoning changes over a lifetime, revealing complex nonlinear patterns in specific brain regions.
Contribution
The study introduces generalized additive mixed models (GAMMs) to uncover nonlinear age-related changes in brain activation and cognition coupling.
Findings
Nonlinear age × time effects in posterior association cortex, especially the right POS2 (precuneus/cuneus), show midlife reductions in activation.
Posterior midline regions shift from positive to weaker or negative coupling with age, while left rostral Area 6 and IFJp show the opposite pattern.
Flexible GAMM approaches reveal developmental inflection points in brain-behavior coupling undetectable with linear or cross-sectional methods.
Abstract
Longitudinal studies in cognitive aging provide critical advantages over cross-sectional designs, with growing consensus that flexible nonlinear approaches are needed to capture the complexity and heterogeneity of lifespan neural change. In the present study, we leveraged three waves of fMRI data and implemented generalized additive mixed models (GAMMs) to characterize linear and nonlinear trajectories of brain activation across the cognitive domains of memory and fluid reasoning, and to identify regions displaying age-varying cognition–brain coupling. Participants (memory: N = 431; fluid reasoning: N = 441; ages 20–80+) from the Reference Ability Neural Network study completed up to three fMRI assessments over 0–12 years. Domain-level activation maps were parcellated using the Glasser atlas and modeled with tensor-product smooths of baseline age and time, alongside age-varying…
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Taxonomy
TopicsFunctional Brain Connectivity Studies · Neural and Behavioral Psychology Studies · Dementia and Cognitive Impairment Research
