2013
DOI: 10.1016/j.neuron.2013.10.002
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Scaling Brain Size, Keeping Timing: Evolutionary Preservation of Brain Rhythms

Abstract: 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 me… Show more

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Cited by 779 publications
(751 citation statements)
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References 154 publications
(183 reference statements)
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“…Such temporal characteristics indicate that the brain-wide integration of spiking information from multiple thalamic neurons simultaneously, possibly through bursting activity, requires extended time windows. These interactions presumably synchronize remote brain regions that require large conduction delays (19)(20)(21).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Such temporal characteristics indicate that the brain-wide integration of spiking information from multiple thalamic neurons simultaneously, possibly through bursting activity, requires extended time windows. These interactions presumably synchronize remote brain regions that require large conduction delays (19)(20)(21).…”
Section: Discussionmentioning
confidence: 99%
“…Previous studies integrating large-scale electrical recordings, voltage-sensitive dye (VSD), and Ca 2+ -imaging techniques (15-18) support the hypothesis that slow, oscillating neural activity constrains and elicits these hemodynamic fluctuations. Furthermore, low-frequency activity can temporally synchronize remote brain regions for extended periods to enable information processing (19)(20)(21). Although studies demonstrated that rsfMRI connectivity is constrained by well-defined structural networks (3, 17), connectivity itself can reorganize during learning-related tasks (22).…”
mentioning
confidence: 99%
“…Patterned discharge, such as burst firing and/or oscillatory activity, is particularly relevant for neural processing: bursts often represent units of information (Izhikevich et al, 2003), whereas oscillations provide precise temporal windows of excitability for circuit computations (Mizuseki et al, 2009). Different frequencies have been reported to encode specific brain states (Buzsáki et al, 2013). At the lower end of the time scale, oscillations extend into the slow (0.1-1 Hz) and infraslow (Ͻ0.1 Hz) range (Schroeder and Lakatos, 2009).…”
Section: Introductionmentioning
confidence: 99%
“…beta rhythm | magnetoencephalography | computational modeling | sensorimotor processing | Parkinson's disease B eta band rhythms (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29) are a commonly observed activity pattern in the brain. They are found with magnetoencephalography (MEG) (1)(2)(3)(4), EEG (5,6), and local field potential (LFP) recordings from neocortex (7)(8)(9) and are preserved across species (10). Local beta oscillations and their coordination between regions are implicated in numerous functions, including sensory perception, selective attention, and motor planning and initiation (2,3,6,7,9,(11)(12)(13)(14)(15).…”
mentioning
confidence: 99%