ArticleScientific reports2018
Functional brain networks reveal the existence of cognitive reserve and the interplay between network topology and dynamics.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Electroencephalography, Magnetoencephalography, and Cognitive Reserve: A Systematic Review.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2021Pooled it
- The multi-dimensional spectrum of radiologically isolated syndrome: a systematic review of cognitive and psychosocial evidence.Acta neurologica Belgica · 2026Review
- A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Machine learning-based identification and brain network characterization of flight cadets compared with air traffic control (ATC) students using static and dynamic functional connectivity.Frontiers in human neuroscience · 2026Article
- Cognitive reserve can impact trajectories in ageing: a longitudinal study.Aging clinical and experimental research · 2025Article
- Beyond traditional proxies: the contribution of leisure to cognitive reserve and dementia.Frontiers in aging neuroscience · 2025Article
- Cognitive resilience/reserve: Myth or reality? A review of definitions and measurement methods.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Review
- An information-theoretic framework for conditional causality analysis of brain networks.Network neuroscience (Cambridge, Mass.) · 2024Article
- Design and Harmonization Approach for the Multi-Institutional Neurocognitive Discovery Study (MINDS) of Adult Congenital Heart Disease (ACHD) Neuroimaging Ancillary Study: A Technical Note.Journal of cardiovascular development and disease · 2023Article
- APOE ε4 and cognitive reserve effects on the functional network in the Alzheimer's disease spectrum.Brain imaging and behavior · 2021Article
- Electrophysiological Proxy of Cognitive Reserve Index.Frontiers in human neuroscience · 2021Article
- Using symbolic networks to analyse dynamical properties of disease outbreaks.Proceedings. Mathematical, physical, and engineering sciences · 2020Article
- Differences in association of leisure time activities and cognition in a racially/ethnically diverse cohort of older adults: Findings from the KHANDLE study.Alzheimer's & dementia (New York, N. Y.) · 2020Article
- State inequality, socioeconomic position and subjective cognitive decline in the United States.SSM - population health · 2019Article
- Connectivity Between Brain Networks Dynamically Reflects Cognitive Status of Parkinson's Disease: A Longitudinal Study.Journal of Alzheimer's disease : JAD · 2019Article
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9 authors.
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Abstract
We investigated how the organization of functional brain networks was related to cognitive reserve (CR) during a memory task in healthy aging. We obtained the magnetoencephalographic functional networks of 20 elders with a high or low CR level to analyse the differences at network features. We reported a negative correlation between synchronization of the whole network and CR, and observed differences both at the node and at the network level in: the average shortest path and the network outreach. Individuals with high CR required functional networks with lower links to successfully carry out the memory task. These results may indicate that those individuals with low CR level exhibited a dual pattern of compensation and network impairment, since their functioning was more energetically costly to perform the task as the high CR group. Additionally, we evaluated how the dynamical properties of the different brain regions were correlated to the network parameters obtaining that entropy was positively correlated with the strength and clustering coefficient, while complexity behaved conversely. Consequently, highly connected nodes of the functional networks showed a more stochastic and less complex signal. We consider that network approach may be a relevant tool to better understand brain functioning in aging.
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