Aging and Network Properties: Stability Over Time and Links with Learning during Working Memory Training

  title={Aging and Network Properties: Stability Over Time and Links with Learning during Working Memory Training},
  author={Alexandru D Iordan and Katherine A. Cooke and Kyle D. Moored and Benjamin Katz and Martin Buschkuehl and Susanne M. Jaeggi and John Jonides and Scott J. Peltier and Thad A. Polk and Patricia A. Reuter-Lorenz},
  journal={Frontiers in Aging Neuroscience},
Growing evidence suggests that healthy aging affects the configuration of large-scale functional brain networks. This includes reducing network modularity and local efficiency. However, the stability of these effects over time and their potential role in learning remain poorly understood. The goal of the present study was to further clarify previously reported age effects on “resting-state” networks, to test their reliability over time, and to assess their relation to subsequent learning during… 

Figures from this paper

Longitudinal functional brain network reconfiguration in healthy aging

The results indicate that older age is related to higher variability in modular organization, and global flexibility, as well as network‐specific flexibility of the default mode, frontoparietal control, and somatomotor networks, were significantly associated with age at baseline.

The Effect of Aging on Resting State Connectivity of Predefined Networks in the Brain

This study utilized multiple resting state functional connectivity methods in a sample of adults from 20–80 years old to gain a more complete understanding of the effect of aging on network function and integrity.

Age differences in functional network reconfiguration with working memory training

While younger adults increase network segregation with training, suggesting more automated processing, older adults persist in, and potentially amplify, a more integrated and costly global workspace, suggesting different age‐related trajectories in functional network reorganization with WM training.

Exploring Functional Brain Network Modularity in Educational Contexts

Results indicated that whole-brain modularity during task conditions was significantly associated with academic learning and no such associations were observed for resting-state modularity, and showed that differences in modularity between task conditions and resting- state varied across spatial scales.

Neural Correlates of Working Memory Maintenance in Advanced Aging: Evidence From fMRI

The present findings suggest that cortical over-recruitment occurs in advanced old age, and that increased activity may serve a compensatory function in mediating WM performance.



Functional Brain Network Modularity Captures Inter- and Intra-Individual Variation in Working Memory Capacity

How changes in the organization of large-scale networks measured via resting state functional connectivity MRI and graph theory track changes in working memory capacity is examined to suggest the intrinsic functional organization of an a priori defined cognitive control network measured at rest provides substantial information about actual cognitive performance.

Cognitive Decline and Reorganization of Functional Connectivity in Healthy Aging: The Pivotal Role of the Salience Network in the Prediction of Age and Cognitive Performances

The findings confirm the crucial role of episodic memory and executive functions in cognitive aging and suggest a pivotal role of the salience network in neural reorganization in aging.

A Brain-Wide Study of Age-Related Changes in Functional Connectivity.

The results show that aging has a large impact on connectivity within functional networks but also on connectivity between the different functional networks in the brain, and a brain-wide analysis approach seems fundamental in understanding how age affects integration of information.

Extrinsic and Intrinsic Brain Network Connectivity Maintains Cognition across the Lifespan Despite Accelerated Decay of Regional Brain Activation

The relationship between network connectivity and cognitive function was age-dependent: cognitive performance relied on neural dynamics more strongly in older adults, driven partly by reduced stability of neural activity within all networks, as expressed by an accelerated decay of neural information.

Reorganization of brain networks in aging: a review of functional connectivity studies

A state-of-the-art description of the usefulness and the interpretations of functional brain connectivity in the context of HA is provided and it is proposed that the use of complex modeling approaches studying effective connectivity may help to understand context-dependent functional reorganizations in the aging process.

The Segregation and Integration of Distinct Brain Networks and Their Relationship to Cognition

It is confirmed that the human brain has the remarkable ability to reconfigure its large-scale organization dynamically in response to current cognitive demands and that interpreting reconfiguration in terms of network segregation and integration may shed light on the optimal network structures underlying successful cognition.

Small-worldness and modularity of the resting-state functional brain network decrease with aging

Reconfiguration of brain network architecture to support executive control in aging

Age-related changes in modular organization of human brain functional networks

Changes in Brain Network Efficiency and Working Memory Performance in Aging

Functional connectivity brain network metrics quantifying local and global efficiency of information transfer were used for predicting individual variability in working memory performance on an n-back task in both young (n = 14) and older ( n = 15) adults.