» Articles » PMID: 36639907

Neural Contributions to Reduced Fluid Intelligence Across the Adult Lifespan

Overview
Journal J Neurosci
Specialty Neurology
Date 2023 Jan 14
PMID 36639907
Authors
Affiliations
Soon will be listed here.
Abstract

Fluid intelligence, the ability to solve novel, complex problems, declines steeply during healthy human aging. Using fMRI, fluid intelligence has been repeatedly associated with activation of a frontoparietal brain network, and impairment following focal damage to these regions suggests that fluid intelligence depends on their integrity. It is therefore possible that age-related functional differences in frontoparietal activity contribute to the reduction in fluid intelligence. This paper reports on analysis of the Cambridge Center for Ageing and Neuroscience data, a large, population-based cohort of healthy males and females across the adult lifespan. The data support a model in which age-related differences in fluid intelligence are partially mediated by the responsiveness of frontoparietal regions to novel problem-solving. We first replicate a prior finding of such mediation using an independent sample. We then precisely localize the mediating brain regions, and show that mediation is specifically associated with voxels most activated by cognitive demand, but not with voxels suppressed by cognitive demand. We quantify the robustness of this result to potential unmodeled confounders, and estimate the causal direction of the effects. Finally, exploratory analyses suggest that neural mediation of age-related differences in fluid intelligence is moderated by the variety of regular physical activities, more reliably than by their frequency or duration. An additional moderating role of the variety of nonphysical activities emerged when controlling for head motion. A better understanding of the mechanisms that link healthy aging with lower fluid intelligence may suggest strategies for mitigating such decline. Global populations are living longer, driving urgency to understand age-related cognitive declines. Fluid intelligence is of prime importance because it reflects performance across many domains, and declines especially steeply during healthy aging. Despite consensus that fluid intelligence is associated with particular frontoparietal brain regions, little research has investigated suggestions that under-responsiveness of these regions mediates age-related decline. We replicate a recent demonstration of such mediation, showing specific association with brain regions most activated by cognitive demand, and robustness to moderate confounding by unmodeled variables. By showing that this mediation model is moderated by the variety of regular physical activities, more reliably than by their frequency or duration, we identify a potential modifiable lifestyle factor that may help promote successful aging.

Citing Articles

Neural evidence of functional compensation for fluid intelligence in healthy ageing.

Knights E, Henson R, Morcom A, Mitchell D, Tsvetanov K Elife. 2025; 13.

PMID: 39773305 PMC: 11709430. DOI: 10.7554/eLife.93327.


The language network ages well: Preserved selectivity, lateralization, and within-network functional synchronization in older brains.

Billot A, Jhingan N, Varkanitsa M, Blank I, Ryskin R, Kiran S bioRxiv. 2024; .

PMID: 39484368 PMC: 11527140. DOI: 10.1101/2024.10.23.619954.


Reorganization of structural connectivity in the brain supports preservation of cognitive ability in healthy aging.

Neudorf J, Shen K, McIntosh A Netw Neurosci. 2024; 8(3):837-859.

PMID: 39355433 PMC: 11398719. DOI: 10.1162/netn_a_00377.


Linguistic inputs must be syntactically parsable to fully engage the language network.

Kauf C, Kim H, Lee E, Jhingan N, Selena She J, Taliaferro M bioRxiv. 2024; .

PMID: 38948870 PMC: 11212959. DOI: 10.1101/2024.06.21.599332.


Analysis of Resting-State Functional Magnetic Resonance Imaging in Alzheimer's Disease.

Ersozlu E, Rauchmann B Methods Mol Biol. 2024; 2785:89-104.

PMID: 38427190 DOI: 10.1007/978-1-0716-3774-6_7.


References
1.
Vos de Wael R, Benkarim O, Paquola C, Lariviere S, Royer J, Tavakol S . BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets. Commun Biol. 2020; 3(1):103. PMC: 7058611. DOI: 10.1038/s42003-020-0794-7. View

2.
Cotman C, Berchtold N, Christie L . Exercise builds brain health: key roles of growth factor cascades and inflammation. Trends Neurosci. 2007; 30(9):464-72. DOI: 10.1016/j.tins.2007.06.011. View

3.
Carpenter P, Just M, Shell P . What one intelligence test measures: a theoretical account of the processing in the Raven Progressive Matrices Test. Psychol Rev. 1990; 97(3):404-31. View

4.
Borgeest G, Henson R, Shafto M, Samu D, Kievit R . Greater lifestyle engagement is associated with better age-adjusted cognitive abilities. PLoS One. 2020; 15(5):e0230077. PMC: 7241829. DOI: 10.1371/journal.pone.0230077. View

5.
Tsvetanov K, Henson R, Tyler L, Razi A, Geerligs L, Ham T . Extrinsic and Intrinsic Brain Network Connectivity Maintains Cognition across the Lifespan Despite Accelerated Decay of Regional Brain Activation. J Neurosci. 2016; 36(11):3115-26. PMC: 4792930. DOI: 10.1523/JNEUROSCI.2733-15.2016. View