Scaling Brain Size, Keeping Timing: Evolutionary Preservation of Brain Rhythms

By György Buzsáki, Nikos K. Logothetis, Wolf Singer. Neuron, 2013

819 citations recorded by the source corpus.

Despite the several-thousand-fold increase of brain volume during the course of mammalian evolution, the hierarchy of brain oscillations remains remarkably preserved, allowing for multiple-time-scale communication within and across neuronal networks at approximately the same speed, irrespective of brain size. Deployment of large-diameter axons of long-range neurons could be a key factor in the preserved time management in growing brains. We discuss the consequences of such preserved network constellation in mental disease, drug discovery, and interventional therapies.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/e208dfe5114269b39a0835a402f1b53de02d574e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

The free energy principle made simpler but not too simple (2022, neutral): “On this view, one might associate precise particles with living systems with characteristic biorhythms [108–111]; ranging from gamma oscillations in neuronal populations, through slower respiratory and diurnal cycles to, perhaps, lifecycles per se.”
Parameterizing neural power spectra into periodic and aperiodic components (2020, neutral): “The algorithm conceptualizes the PSD as a combination of an aperiodic component 19,52 with overlying periodic components, or oscillations 7 .”
Imaging brain microstructure with diffusion MRI: practicality and applications (2019, background): “Figure 3 illustrates the neuron and its environment, which in combination provide the basic mechanisms for brain function via communication between brain regions.(24)”
Complex oscillatory waves emerging from cortical organoids model early human brain network development (2019, neutral): “Periodic oscillatory activity is often defined as a ‘‘bump’’ over the characteristic 1/f background in the power spectral density (PSD) of extracellular signals above and beyond the aperiodic 1/f signal (Buzsáki et al., 2013; Gao et al., 2017).”
Aperiodic neural timescales in prefrontal cortex dilate with increased task abstraction (2025, unknown): “This results in a temporal hierarchy of neural timescales that mirrors the hierarchical arrangement of the brain (2–12).”
Alterations in aperiodic and periodic EEG activity in young children with Down syndrome (2024, unknown): “The periodic component is defined by the portions of the power spectrum rising above the aperiodic component, with peaks reflecting oscillatory activity in narrow frequency bands (Buzsáki et al., 2013).”
Alterations in aperiodic and periodic EEG activity in young children with Down syndrome (2024, methodology): “Given the short length of EEG recordings, 36 of the 128 channels were used for ICA/MARA: ( Standard”
Neurophysiological mechanisms of cognition in the developing brain: Insights from intracranial EEG studies (2023, background): “Periodic activity is rhythmic and appears as a peak above the 1/f-like shape in the power spectrum (Buzsáki et al., 2013; B. J. He, 2014).”