Decreased segregation of brain systems across the healthy adult lifespan

By Micaela Y. Chan, Denise C. Park, N. K. Savalia, Steven E. Petersen, Gagan S. Wig. Proceedings of the National Academy of Sciences of the United States of America, 2014

864 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/6a366fdccf2206b1d42019a0d2233f511dbb3499

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Citations in the corpus

The Segregation and Integration of Distinct Brain Networks and Their Relationship to Cognition (2016, methodology): “Next, we calculated the strength of system segregation of our graphs (Chan et al., 2014).”
Effects of aging on functional and structural brain connectivity☆ (2017, background): “…et al., 2016), found significant associations between cognitive performance and functional brain connectivity independent of age, such that participants with lower functional connectivity measures also have lower cognitive performance (Chan et al., 2014; Damoiseaux et al., 2008; Wang et al., 2010).”
Functional brain networks are dominated by stable group and individual factors, not cognitive or daily variation (2018, background): “, 2015), change across the lifespan (Chan et al., 2014; Dosenbach et al., 2010; Satterthwaite et al., 2013a), and respond to different cognitive demands (Betti et al.”
Abnormal intrinsic brain functional network dynamics in Parkinson’s disease (2017, background): “In healthy ageing, there is consistent evidence of weaker within-net- work functional connectivity, paralleled by a relative in- crease of between-network functional connectivity, interpreted as a reduced segregation of neural networks (Chan et al., 2014; Elman et al., 2016).”
Modular Brain Networks (2015, methodology): “Chan et al. (2014) used communities defined in an earlier study (Power et al. 2011) and reported an overall decrease in segregation with age, an effect driven by both association and sensorimotor systems.”
Age-Related Characteristics of Resting-State Electroencephalographic Signals and the Corresponding Analytic Approaches: A Review (2024, background): “Aging has been reported to lead to a decrease in intra-system correlations and an increase in inter-system correlations [144].”
Resting-state EEG connectome topology and social norm processing in healthy young adults (2026, unknown): “Future studies should therefore complement global graph-theoretical metrics with network-based approaches (e.g., analyses on canonical large-scale functional systems; Yeo et al. 2011 ) to clarify which, and to what extent, func - tional brain networks drive these associations (Chan et al. 2014 ).”