ArticleFrontiers in aging neuroscience2019
Lifespan Changes in Network Structure and Network Topology Dynamics During Rest and Auditory Oddball Performance.
Article in Frontiers in aging neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Developmental and aging changes in brain network switching dynamics revealed by EEG phase synchronization.PLoS computational biology · 2026Article
- Self-organization and circular causation as synergetic foundations of social interaction: a multilayer network perspective.Frontiers in network physiology · 2026Article
- The cellular choreography of brain aging: a neuroimmune network perspective.Frontiers in aging neuroscience · 2026Review
- Human Brain Responses and Functional Brain Networks Across the Lifespan.Brain sciences · 2025Article
- Influence of biological sex on neuroinflammatory dynamics in the aging brain.Frontiers in aging neuroscience · 2025Review
- Neuroimmune dynamics and brain aging: mechanisms and consequences.Frontiers in aging neuroscience · 2025Review
- Socioeconomic Inequalities Affect Brain Responses of Infants Growing Up in Germany.Brain sciences · 2024Article
- Hyper-brain hyper-frequency network topology dynamics when playing guitar in quartet.Frontiers in human neuroscience · 2024Article
- Neural Synchrony and Network Dynamics in Social Interaction: A Hyper-Brain Cell Assembly Hypothesis.Frontiers in human neuroscience · 2022Article
- Network topology dynamics of circulating biomarkers and cognitive performance in older Cytomegalovirus-seropositive or -seronegative men and women.Immunity & ageing : I & A · 2019Article
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6 authors.
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Abstract
Behavioral and physiological evidence suggests that developmental changes lead to enhanced cortical differentiation and integration through maturation and learning, and that senescent changes during aging result in dedifferentiation and reduced cortical specialization of neural cell assemblies. We used electroencephalographic (EEG) recordings to evaluate network structure and network topology dynamics during rest with eyes closed and open, and during auditory oddball task across the lifespan. For this evaluation, we constructed a hyper-frequency network (HFN) based on within- and cross-frequency coupling (WFC and CFC, respectively) at 10 oscillation frequencies ranging between 2 and 20 Hz. We found that WFC increased monotonously across the lifespan, whereas CFC showed a U-shaped relationship. These changes in WFC and CFC strengths coevolve with changes in network structure and network topology dynamics, namely the magnitude of graph-theoretical topology measures increased linearly with age (except for characteristic path length, which is going shorter), while their standard deviation showed an inverse U-shaped relationship with a peak in young adults. Temporal as well as structural or nodal similarity of network topology (with some exceptions) seems to coincide with variability changes, i.e., stronger variability is related to higher similarity between consecutive time windows or nodes. Furthermore, network complexity measures showed different lifespan-related patterns, which depended on the balance of WFC and CFC strengths. Both variability and complexity of HFNs were strongly related to the perceptual speed scores. Finally, investigation of the modular organization of the networks revealed higher number of modules and stronger similarity of community structures across time in young adults as compared with children and older adults. We conclude that network variability and complexity measures reflect temporal and structural topology changes in the functional organization and reorganization of neuronal cell assemblies across the lifespan.
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