Age-related changes in processing speed: unique contributions of cerebellar and prefrontal cortex

Eckert · 2010 · OpenAlex-citations

DOI: 10.3389/neuro.09.010.2010

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Summary

This study investigates the neural mechanisms underlying age-related declines in processing speed, a hallmark of cognitive aging. The authors hypothesize that these declines are driven by structural changes in specific neural networks rather than global atrophy, and they examine whether cerebral small vessel disease (CSVD) mediates these associations. The research aims to identify distinct patterns of gray and white matter covariance that predict processing speed deficits in older adults. The study included 42 healthy adults aged 19 to 79. Processing speed was assessed using the Connections Test, which distinguishes between perceptual/motor speed (Connections Simple) and executive speed involving working memory and inhibition (Connections Complex). Additional cognitive measures included working memory, vocabulary, and visual matching tasks. Structural MRI data were acquired using a 3T scanner, including T1-weighted images for volumetric analysis and FLAIR images to quantify white matter hyperintensities (WMH) indicative of CSVD. The authors employed Source-Based Morphometry (SBM), a multivariate independent component analysis technique, to identify spatially coherent patterns of gray and white matter variation across the brain. This approach allowed for the identification of structural networks and their relationship to behavioral performance while controlling for global volume changes. The results demonstrated that processing speed significantly declined with age. SBM identified seven gray matter and four white matter components. Age was significantly associated with volume changes in five gray matter components, particularly those involving the cerebellum, prefrontal cortex, and default mode network. Crucially, three distinct gray matter components uniquely predicted perceptual and motor processing speed: a cerebellar component (Component 4), a frontal/insular component (Component 2), and a component reflecting frontal atrophy linked to WMH (Component 7). The association between Component 7 and processing speed was mediated by the presence of cerebral small vessel disease, indicating that frontal structural decline related to CSVD contributes to slower processing. Conversely, the cerebellar component’s influence on processing speed was independent of CSVD, suggesting a separate mechanism involving cerebellar morphology. White matter analysis revealed that cerebellar white matter integrity was strongly correlated with cerebellar gray matter volume and processing speed. The findings indicate that age-related declines in processing speed are not unitary but result from at least two distinct neural factors: frontal structural changes associated with cerebral small vessel disease and independent declines in cerebellar morphology. This suggests that interventions targeting vascular health may mitigate frontal-related slowing, while other factors affecting cerebellar integrity may also need to be addressed to preserve processing speed in aging populations. The study highlights the utility of structural covariance analysis in disentangling complex neurobiological contributions to cognitive aging.

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• cognitive aging