ArticleCognitive neurodynamics2017
Frequency shift in topography of spontaneous brain rhythms from childhood to adulthood.
Article in Cognitive neurodynamics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Oscillatory activity underlying cognitive performance in children and adolescents with autism: a systematic review.Frontiers in human neuroscience · 2024Pooled it
- Brain Complexity and Parametrization of Power Spectral Density in Children with Specific Language Impairment.Entropy (Basel, Switzerland) · 2025Article
- Bayesian covariance regression in functional data analysis with applications to functional brain imaging.The international journal of biostatistics · 2025Article
- White matter microstructure as a potential contributor to differences in resting state alpha activity between neurotypical and autistic children: a longitudinal multimodal imaging study.Molecular autism · 2025Article
- Resting-State Electroencephalogram and Speech Perception in Young Children with Developmental Language Disorder.Brain sciences · 2025Article
- Covariate Adjusted Functional Mixed Membership Models.Statistics and data science in imaging · 2025Article
- The development of aperiodic and periodic resting-state power between early childhood and adulthood: New insights from optically pumped magnetometers.Developmental cognitive neuroscience · 2024Article
- From Infancy to Childhood: A Comprehensive Review of Event- and Task-Related Brain Oscillations.Brain sciences · 2024Review
- Flexible Regularized Estimation in High-Dimensional Mixed Membership Models.Computational statistics & data analysis · 2024Article
- Theta activity and cognitive functioning: Integrating evidence from resting-state and task-related developmental electroencephalography (EEG) research.Developmental cognitive neuroscience · 2024Review
- Resting-State Activity in Children: Replicating and Extending Findings of Early Maturation of Alpha Rhythms in Autism Spectrum Disorder.Journal of autism and developmental disorders · 2024Article
- Distinct Spectral Profiles of Awake Resting EEG in Disorders of Consciousness: The Role of Frequency and Topography of Oscillations.Brain topography · 2024Article
- Functional Mixed Membership Models.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2024Article
- Temporal spectral evolution of pre-stimulus brain activity in visual and visuomotor tasks.Cognitive neurodynamics · 2023Article
- Multiscale entropy of ADHD children during resting state condition.Cognitive neurodynamics · 2023Article
- Age-related trends in aperiodic EEG activity and alpha oscillations during early- to middle-childhood.NeuroImage · 2023Article
- MEG measured delta waves increase in adolescents after concussion.Brain and behavior · 2022Article
- Activation-Inhibition dynamics of the oscillatory bursts of the human EEG during resting state. The macroscopic temporal range of few seconds.Cognitive neurodynamics · 2022Article
- Spectral parameterization for studying neurodevelopment: How and why.Developmental cognitive neuroscience · 2022Article
- The temporal dedifferentiation of global brain signal fluctuations during human brain ageing.Scientific reports · 2022Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
It has been described that the frequency ranges at which theta, mu and alpha rhythms oscillate is increasing with age. The present report, by analyzing the spontaneous EEG, tries to demonstrate whether there is an increase with age in the frequency at which the cortical structures oscillate. A topographical approach was followed. The spontaneous EEG of one hundredand seventy subjects was recorded. The spectral power (from 0.5 to 45.5 Hz) was obtained by means of the Fast Fourier Transform. Correlations of spatial topographies among the different age groups showed that older groups presented the same topographical maps as younger groups, but oscillating at higher frequencies. The results suggest that the same brain areas oscillate at lower frequencies in children than in older groups, for a broad frequency range. This shift to a higher frequency with age would be a trend in spontaneous brain rhythm development.
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