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E. Vuoksimaa

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Open access Aug 2026

Cerebral Cortical Structural Variation and General Cognitive Ability: Evidence From Mendelian Randomization

Understanding the cortical architecture underlying individual differences in general cognitive ability (GCA) remains a central question in cognitive neuroscience. Prior work has established associations between global brain size and GCA, yet the regional effects and directionality of these relationships remain debated. Using a genetically informed cortical parcellation in 11,289 UK Biobank participants, we examined associations between cortical surface area (SA), cortical thickness (CT), and GCA measured via verbal–numerical reasoning. Total SA showed a robust positive association with GCA. At the regional level, dorsolateral prefrontal and superior temporal SA exhibited the strongest positive associations, which persisted after adjustment for global SA. In contrast, CT showed comparatively modest associations. Using Mendelian randomization (MR) with genome‐wide significant genetic instruments, we observed evidence consistent with a bidirectional relationship between total SA and GCA. At the regional level, dorsolateral prefrontal and temporal SA demonstrated evidence of MR‐inferred directional effects on GCA, while GCA showed evidence of MR‐inferred directional effects on total SA and perisylvian thickness. These findings support a polyregional SA architecture underlying GCA, with prominent contributions from prefrontal and temporal association cortices. Our results refine global brain–GCA models and highlight the value of genetically informed parcellation for identifying regional cortical contributions.

Chun-Ju Chou, M. Fiecas, E. D. del Re et al. · 0 citations
Open access Jul 2026

Associations of proteomic and epigenetic aging clocks with Alzheimer's disease phenotypes: An exploratory analysis

Abstract INTRODUCTION Proteomic aging clocks detect disease‐related systemic and organ‐specific changes and are easily accessible by minimally invasive blood draws. However, their potential in Alzheimer's disease (AD) assessment remains unestablished. METHODS We investigated associations of proteomic and epigenetic clocks with AD‐related blood‐based biomarkers and cognitive tests. Omics were generated from blood samples of 153 cognitively unimpaired individuals (average age 62 years); blood biomarkers and cognition were measured approximately nine years after. RESULTS Proteomic clocks explained up to 23% of variance in cognitive and biomarker measures not explained by epigenetics. Accelerated systemic and brain‐specific proteomic aging were linked to poorer cognition and higher levels of plasma neurofilament light chain. Exploratory interaction analyses suggested weaker proteomic aging‐cognition associations in individuals with higher genetic liability for diabetes. DISCUSSION Our study illustrates the potential of plasma proteomic clocks in detecting AD‐related phenotypes. However, co‐morbidities possibly constitute confounding factors, compromising the performance of proteomic aging models.

Cindy David Sarmento, G. Drouard, T. Saari et al. · 0 citations

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