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Rhythms of the brain
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TLDR
The brain's default state: self-organized oscillations in rest and sleep, and perturbation of the default patterns by experience.Abstract:
Prelude. Cycle 1. Introduction. Cycle 2. Structure defines function. Cycle 3. Diversity of cortical functions is provided by inhibition. Cycle 4. Windows on the brain. Cycle 5. A system of rhythms: from simple to complex dynamics. Cycle 6. Synchronization by oscillation. Cycle 7. The brain's default state: self-organized oscillations in rest and sleep. Cycle 8. Perturbation of the default patterns by experience. Cycle 9. The gamma buzz: gluing by oscillations in the waking brain. Cycle 10. Perceptions and actions are brain state-dependent. Cycle 11. Oscillations in the "other cortex:" navigation in real and memory space. Cycle 12. Coupling of systems by oscillations. Cycle 13. The tough problem. References.read more
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Journal ArticleDOI
Beta Peak Frequencies at Rest Correlate with Endogenous GABA+/Cr Concentrations in Sensorimotor Cortex Areas.
Thomas J. Baumgarten,Georg Oeltzschner,Nienke Hoogenboom,Hans Jörg Wittsack,Alfons Schnitzler,Joachim Lange +5 more
TL;DR: The results demonstrate that for a predominantly right-handed sample, the correlation between beta band oscillations and endogenous GABA concentrations is evident only in the left sensorimotor cortex, and supports previous results that demonstrated a connection between oscillatory beta activity and pharmacologically modulated GABA concentration in the sensorim motor cortex.
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Properties of functional brain networks correlate with frequency of psychogenic non-epileptic seizures.
Elham Barzegaran,Amir Joudaki,Mahdi Jalili,Andrea O. Rossetti,Richard S. J. Frackowiak,Maria G. Knyazeva +5 more
TL;DR: Graph theoretical approach to functional networks based on resting state EEGs from 13 PNES patients and 13 age- and gender-matched controls suggests that local connectivity could be a target for therapeutic interventions in PNES and suggests selective modulation of local connectivity might improve the skewed balance between local and global connectivity and so prevent PNES events.
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Standard multiscale entropy reflects neural dynamics at mismatched temporal scales: What’s signal irregularity got to do with it?
TL;DR: It is demonstrated that entropy at fine time scales–presumed to indicate fast dynamics–is highly sensitive to broadband spectral power, a measure dominated by low-frequency contributions, and recommended best practices that may better permit a valid estimation and interpretation of neural signal irregularity at time scales of interest.
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Dynamics of directional coupling underlying spike-wave discharges
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Massively Parallel Microwire Arrays Integrated with CMOS chips for Neural Recording
Abdulmalik Obaid,Mina-Elraheb S Hanna,Yu Wei Wu,Mihaly Kollo,Mihaly Kollo,Romeo Racz,Matthew R Angle,Jan Müller,Nora Brackbill,William Wray,Felix Franke,E. J. Chichilnisky,Andreas Hierlemann,Jun B. Ding,Andreas T. Schaefer,Andreas T. Schaefer,Nicholas A. Melosh +16 more
TL;DR: A new strategy to interface silicon-based chips with three-dimensional microwire arrays is presented, providing the link between rapidly-developing electronics and high density neural interfaces, and has excellent recording performance.
References
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Journal ArticleDOI
Collective dynamics of small-world networks
TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
Book
The Fractal Geometry of Nature
TL;DR: This book is a blend of erudition, popularization, and exposition, and the illustrations include many superb examples of computer graphics that are works of art in their own right.
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The magical number seven, plus or minus two: some limits on our capacity for processing information
TL;DR: The theory of information as discussed by the authors provides a yardstick for calibrating our stimulus materials and for measuring the performance of our subjects and provides a quantitative way of getting at some of these questions.
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The relation of strength of stimulus to rapidity of habit-formation
Robert M. Yerkes,John D. Dodson +1 more
TL;DR: In connection with a study of various aspects of the modifiability of behavior in the dancing mouse a need for definite knowledge concerning the relation of strength of stimulus to rate of learning arose, the experiments which are now to be described arose.
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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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