Neuronal Oscillations in Cortical Networks
György Buzsáki,Andreas Draguhn +1 more
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TLDR
Recent findings indicate that network oscillations bias input selection, temporally link neurons into assemblies, and facilitate synaptic plasticity, mechanisms that cooperatively support temporal representation and long-term consolidation of information.Abstract:
Clocks tick, bridges and skyscrapers vibrate, neuronal networks oscillate. Are neuronal oscillations an inevitable by-product, similar to bridge vibrations, or an essential part of the brain’s design? Mammalian cortical neurons form behavior-dependent oscillating networks of various sizes, which span five orders of magnitude in frequency. These oscillations are phylogenetically preserved, suggesting that they are functionally relevant. Recent findings indicate that network oscillations bias input selection, temporally link neurons into assemblies, and facilitate synaptic plasticity, mechanisms that cooperatively support temporal representation and long-term consolidation of information.read more
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Cognitive decline in Parkinson's disease is associated with slowing of resting-state brain activity: a longitudinal study
Kim T. E. Olde Dubbelink,Diederick Stoffers,Jan Berend Deijen,Jos W. R. Twisk,Cornelis J. Stam,Henk W. Berendse +5 more
TL;DR: The present longitudinal study revealed widespread progressive slowing of oscillatory brain activity in initially nondemented PD patients, independent of aging effects, and holds promise as an early marker for the development of dementia in PD.
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Infra-slow fluctuations in electrophysiological recordings, blood-oxygenation-level-dependent signals, and psychophysical time series.
J. Matias Palva,Satu Palva +1 more
TL;DR: It is concluded that ISFs in electrophysiological recordings, BOLD signals, neuronal activity levels, and behavioral time series are likely to reflect the same underlying phenomenon; a superstructure of interacting and transiently oscillatory ISFs that regulate both the integration within and decoupling between concurrently active neuronal communities.
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State-Dependent Variability of Neuronal Responses to Transcranial Magnetic Stimulation of the Visual Cortex
TL;DR: The results reveal the possibility that variability in the neural response to TMS can be exploited to optimize the effects of stimulation and it is conceivable that this feature could be utilized in real time during the treatment of clinical disorders.
Journal ArticleDOI
Multimodal Functional Neuroimaging: Integrating Functional MRI and EEG/MEG
Bin He,Zhongming Liu +1 more
TL;DR: This review starts with an overview of the physiological origins of EEG/MEG and fMRI, as well as their fundamental biophysics and imaging principles, and proceeds with a review of the major advances in the understanding and modeling of neurovascular coupling and in the methodologies for the fMRI-EEG/M EG simultaneous recording.
Frequency-specific hippocampal-prefrontal interactions during associative learning
TL;DR: Functional differences and frequency-specific interactions between HPC and PFC of monkeys learning object pair associations, an animal model of human explicit memory, are found.
References
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Book
The Hippocampus as a Cognitive Map
John O'Keefe,Lynn Nadel +1 more
TL;DR: The amnesic syndrome is presented as an extension of the theory to humans and the role of operators in the locale system is examined.
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Exploring complex networks
TL;DR: This work aims to understand how an enormous network of interacting dynamical systems — be they neurons, power stations or lasers — will behave collectively, given their individual dynamics and coupling architecture.
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Self-organized criticality: An explanation of the 1/ f noise
TL;DR: It is shown that dynamical systems with spatial degrees of freedom naturally evolve into a self-organized critical point, and flicker noise, or 1/f noise, can be identified with the dynamics of the critical state.
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EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis
TL;DR: In this article, it is suggested to adjust the frequency windows of alpha and theta for each subject by using individual alpha frequency as an anchor point, based on this procedure, a consistent interpretation of a variety of findings is made possible.
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