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Updated: Jun 7, 2025

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

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Published on: May 7, 2014

Connectome-based predictive modelling of ageing, overall cognitive functioning and memory performance.

Yi Gu¹, Lianghu Guo¹, Xinyi Cai¹

¹School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.

The European Journal of Neuroscience

|November 11, 2024

Summary

Brain connectome patterns can predict aging and intelligence (IQ) in healthy adults. While the brain connectome showed a weak link to memory quotient (MQ), it mediated the age-cognition relationship, suggesting a protective mechanism for cognitive health.

Keywords:

ageing brain connectivity connectome‐based predictive modelling intelligence quotient memory quotient resting‐state fMRI

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Area of Science:

Neuroscience
Cognitive Science
Medical Imaging

Background:

Resting-state functional magnetic resonance imaging (rs-fMRI) and brain connectome analysis offer insights into brain aging and cognitive function.
Prior research examined brain connectome associations with age, global cognition, and memory separately.
Few studies have integrated predictions of age, overall cognition, and memory performance simultaneously.

Purpose of the Study:

To identify brain connectome markers predicting age, intelligence quotient (IQ), and memory quotient (MQ) in a healthy aging cohort.
To explore the complex interrelationships between brain connectivity, aging, and cognitive functions.
To investigate the mediating role of the brain connectome in the relationship between age and cognitive functioning.

Main Methods:

Utilized a data-driven approach on rs-fMRI data from a multicenter, normal aging cohort (n=313).
Applied predictive modeling to assess brain connectome's ability to predict age, IQ, and MQ.
Conducted mediation analysis to examine the role of brain connectome in the age-cognition link.

Main Results:

Brain connectome successfully predicted chronological age and IQ.
The association between brain connectome and MQ was found to be weak.
Connectivity involving the orbital frontal cortex was significantly associated with both age and IQ.

Conclusions:

Brain connectome serves as a significant predictor for aging and overall cognitive functioning (IQ).
The brain connectome may act as a mediator, offering a protective mechanism for cognitive function during healthy aging.
Findings highlight potential neural correlates for maintaining cognitive health across the lifespan.