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RESEARCH PAPER / 2025-02-03

Depthwise cortical iron relates to functional connectivity and fluid cognition in healthy aging.

Jenna L Merenstein, Jiayi Zhao, David J Madden

Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC 27710, USA. Electronic address: [email protected] Imaging and Analysis Center, Duke University Medical Center, Durham, NC 27710, USA. Electronic address: [email protected]. · pubmed

Abstract

Age-related differences in fluid cognition have been associated with both the merging of functional brain networks, defined from resting-state functional magnetic resonance imaging (rsfMRI), and with elevated cortical iron, assessed by quantitative susceptibility mapping (QSM). Limited information is available, however, regarding the depthwise profile of cortical iron and its potential relation to functional connectivity. Here, using an adult lifespan sample (n = 138; 18-80 years), we assessed relations among graph theoretical measures of functional connectivity, column-based depthwise measures of cortical iron, and fluid cognition (i.e., tests of memory, perceptual-motor speed, executive function). Increased age was related both to less segregated functional networks and to increased cortical iron, especially for superficial depths. Functional network segregation mediated age-related differences in memory, whereas depthwise iron mediated age-related differences in general fluid cognition. Lastly, higher mean parietal iron predicted lower network segregation for adults younger than 45 years of age. These findings suggest that functional connectivity and depthwise cortical iron have distinct, complementary roles in the relation between age and fluid cognition in healthy adults.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

Increased cortical iron and functional network segregation are related to age-related differences in fluid cognition. The study addresses the relationship between brain changes and cognitive function in aging, which is pertinent to understanding the mechanisms of aging and potential interventions.

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