keyword
MENU ▼
Read by QxMD icon Read
search

Neural Oscillations

keyword
https://www.readbyqxmd.com/read/29348191/multi-modal-encoding-of-novelty-reward-and-learning-in-the-primate-nucleus-basalis-of-meynert
#1
Clarissa Martinez-Rubio, Angelique C Paulk, Eric J McDonald, Alik S Widge, Emad N Eskandar
Associative learning is crucial for daily function, involving a complex network of brain regions. One region, the nucleus basalis of Meynert (NBM), is a highly interconnected, largely cholinergic structure implicated in multiple aspects of learning. We show that single neurons in the NBM of non-human primates (NHPs; N=2 males; Macaca mulatta) encode learning a new association through spike rate modulation. Yet, the power of low-frequency local field potential (LFP) oscillations decreases in response to novel, not-yet-learned stimuli but then increase as learning progresses...
January 18, 2018: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/29348136/resting-state-functional-mri-everything-that-nonexperts-have-always-wanted-to-know
#2
REVIEW
H Lv, Z Wang, E Tong, L M Williams, G Zaharchuk, M Zeineh, A N Goldstein-Piekarski, T M Ball, C Liao, M Wintermark
Resting-state fMRI was first described by Biswal et al in 1995 and has since then been widely used in both healthy subjects and patients with various neurologic, neurosurgical, and psychiatric disorders. As opposed to paradigm- or task-based functional MR imaging, resting-state fMRI does not require subjects to perform any specific task. The low-frequency oscillations of the resting-state fMRI signal have been shown to relate to the spontaneous neural activity. There are many ways to analyze resting-state fMRI data...
January 18, 2018: AJNR. American Journal of Neuroradiology
https://www.readbyqxmd.com/read/29347806/synchrony-induced-modes-of-oscillation-of-a-neural-field-model
#3
Jose M Esnaola-Acebes, Alex Roxin, Daniele Avitabile, Ernest Montbrió
We investigate the modes of oscillation of heterogeneous ring networks of quadratic integrate-and-fire (QIF) neurons with nonlocal, space-dependent coupling. Perturbations of the equilibrium state with a particular wave number produce transient standing waves with a specific temporal frequency, analogously to those in a tense string. In the neuronal network, the equilibrium corresponds to a spatially homogeneous, asynchronous state. Perturbations of this state excite the network's oscillatory modes, which reflect the interplay of episodes of synchronous spiking with the excitatory-inhibitory spatial interactions...
November 2017: Physical Review. E
https://www.readbyqxmd.com/read/29347745/multiplexing-topologies-and-time-scales-the-gains-and-losses-of-synchrony
#4
Sergey Makovkin, Anil Kumar, Alexey Zaikin, Sarika Jalan, Mikhail Ivanchenko
Inspired by the recent interest in collective dynamics of biological neural networks immersed in the glial cell medium, we investigate the frequency and phase order, i.e., Kuramoto type of synchronization in a multiplex two-layer network of phase oscillators of different time scales and topologies. One of them has a long-range connectivity, exemplified by the Erdős-Rényi random network, and supports both kinds of synchrony. The other is a locally coupled two-dimensional lattice that can reach frequency synchronization but lacks phase order...
November 2017: Physical Review. E
https://www.readbyqxmd.com/read/29347566/macroscopic-phase-resetting-curves-for-spiking-neural-networks
#5
Grégory Dumont, G Bard Ermentrout, Boris Gutkin
The study of brain rhythms is an open-ended, and challenging, subject of interest in neuroscience. One of the best tools for the understanding of oscillations at the single neuron level is the phase-resetting curve (PRC). Synchronization in networks of neurons, effects of noise on the rhythms, effects of transient stimuli on the ongoing rhythmic activity, and many other features can be understood by the PRC. However, most macroscopic brain rhythms are generated by large populations of neurons, and so far it has been unclear how the PRC formulation can be extended to these more common rhythms...
October 2017: Physical Review. E
https://www.readbyqxmd.com/read/29347353/theory-of-nonstationary-hawkes-processes
#6
Neta Ravid Tannenbaum, Yoram Burak
We expand the theory of Hawkes processes to the nonstationary case, in which the mutually exciting point processes receive time-dependent inputs. We derive an analytical expression for the time-dependent correlations, which can be applied to networks with arbitrary connectivity, and inputs with arbitrary statistics. The expression shows how the network correlations are determined by the interplay between the network topology, the transfer functions relating units within the network, and the pattern and statistics of the external inputs...
December 2017: Physical Review. E
https://www.readbyqxmd.com/read/29347270/detection-of-nonstationary-transition-to-synchronized-states-of-a-neural-network-using-recurrence-analyses
#7
R C Budzinski, B R R Boaretto, T L Prado, S R Lopes
We study the stability of asymptotic states displayed by a complex neural network. We focus on the loss of stability of a stationary state of networks using recurrence quantifiers as tools to diagnose local and global stabilities as well as the multistability of a coupled neural network. Numerical simulations of a neural network composed of 1024 neurons in a small-world connection scheme are performed using the model of Braun et al. [Int. J. Bifurcation Chaos 08, 881 (1998)IJBEE40218-127410.1142/S0218127498000681], which is a modified model from the Hodgkin-Huxley model [J...
July 2017: Physical Review. E
https://www.readbyqxmd.com/read/29347072/macroscopic-and-microscopic-spectral-properties-of-brain-networks-during-local-and-global-synchronization
#8
Vladimir A Maksimenko, Annika Lüttjohann, Vladimir V Makarov, Mikhail V Goremyko, Alexey A Koronovskii, Vladimir Nedaivozov, Anastasia E Runnova, Gilles van Luijtelaar, Alexander E Hramov, Stefano Boccaletti
We introduce a practical and computationally not demanding technique for inferring interactions at various microscopic levels between the units of a network from the measurements and the processing of macroscopic signals. Starting from a network model of Kuramoto phase oscillators, which evolve adaptively according to homophilic and homeostatic adaptive principles, we give evidence that the increase of synchronization within groups of nodes (and the corresponding formation of synchronous clusters) causes also the defragmentation of the wavelet energy spectrum of the macroscopic signal...
July 2017: Physical Review. E
https://www.readbyqxmd.com/read/29346381/control-of-recollection-by-slow-gamma-dominating-mid-frequency-gamma-in-hippocampus-ca1
#9
Dino Dvorak, Basma Radwan, Fraser T Sparks, Zoe Nicole Talbot, André A Fenton
Behavior is used to assess memory and cognitive deficits in animals like Fmr1-null mice that model Fragile X Syndrome, but behavior is a proxy for unknown neural events that define cognitive variables like recollection. We identified an electrophysiological signature of recollection in mouse dorsal Cornu Ammonis 1 (CA1) hippocampus. During a shocked-place avoidance task, slow gamma (SG) (30-50 Hz) dominates mid-frequency gamma (MG) (70-90 Hz) oscillations 2-3 s before successful avoidance, but not failures...
January 18, 2018: PLoS Biology
https://www.readbyqxmd.com/read/29343456/eeg-dynamics-and-neural-generators-in-implicit-navigational-image-processing-in-adults-with-adhd
#10
A Leroy, G Petit, D Zarka, A M Cebolla, E Palmero-Soler, J Strul, B Dan, P Verbanck, G Cheron
In contrast to childhood ADHD that is characterized by inattention, impulsivity and hyperactivity, most adults with ADHD predominantly exhibit inattention. We used a new oddball paradigm using implicit navigational images and analysed EEG dynamics with swLORETA inverse modelling of the evoked potential generators to study cortical processing in adults with ADHD and age-matched controls. In passive observation, we demonstrated that P350 amplitude, alpha-beta oscillation event-related synchronization (ERS) anticipation, and beta event-related desynchronization (ERD) were significantly smaller in ADHD...
January 14, 2018: Neuroscience
https://www.readbyqxmd.com/read/29337999/a-dynamical-systems-approach-for-estimating-phase-interactions-between-rhythms-of-different-frequencies-from-experimental-data
#11
Takayuki Onojima, Takahiro Goto, Hiroaki Mizuhara, Toshio Aoyagi
Synchronization of neural oscillations as a mechanism of brain function is attracting increasing attention. Neural oscillation is a rhythmic neural activity that can be easily observed by noninvasive electroencephalography (EEG). Neural oscillations show the same frequency and cross-frequency synchronization for various cognitive and perceptual functions. However, it is unclear how this neural synchronization is achieved by a dynamical system. If neural oscillations are weakly coupled oscillators, the dynamics of neural synchronization can be described theoretically using a phase oscillator model...
January 2018: PLoS Computational Biology
https://www.readbyqxmd.com/read/29334075/classifying-vortex-wakes-using-neural-networks
#12
Brendan Colvert, Mohamad Alsalman, Eva Kanso
Unsteady flows contain information about the objects creating them. Aquatic organisms offer intriguing paradigms for extracting flow information using local sensory measurements. In contrast, classical methods for flow analysis require global knowledge of the flow field. Here, we train neural networks to classify flow patterns using local vorticity measurements. Specifically, we consider vortex wakes behind an oscillating airfoil and we evaluate the accuracy of the network in distinguishing between three wake types, 2S, 2P+2S and 2P+4S...
January 15, 2018: Bioinspiration & Biomimetics
https://www.readbyqxmd.com/read/29331056/exploring-the-advantages-of-multiband-fmri-with-simultaneous-eeg-to-investigate-coupling-between-gamma-frequency-neural-activity-and-the-bold-response-in-humans
#13
Makoto Uji, Ross Wilson, Susan T Francis, Karen J Mullinger, Stephen D Mayhew
We established an optimal combination of EEG recording during sparse multiband (MB) fMRI that preserves high-resolution, whole-brain fMRI coverage while enabling broad-band EEG recordings which are uncorrupted by MRI gradient artefacts (GAs). We first determined the safety of simultaneous EEG recording during MB fMRI. Application of MB factor = 4 produced <1°C peak heating of electrode/hardware during 20 min of GE-EPI data acquisition. However, higher SAR sequences require specific safety testing, with greater heating observed using PCASL with MB factor = 4...
January 13, 2018: Human Brain Mapping
https://www.readbyqxmd.com/read/29329355/when-the-brain-changes-its-mind-oscillatory-dynamics-of-conflict-processing-and-response-switching-in-a-flanker-task-during-alcohol-challenge
#14
Lauren E Beaton, Sheeva Azma, Ksenija Marinkovic
Despite the subjective experience of being in full and deliberate control of our actions, our daily routines rely on a continuous and interactive engagement of sensory evaluation and response preparation streams. They unfold automatically and unconsciously and are seamlessly integrated with cognitive control which is mobilized by stimuli that evoke ambiguity or response conflict. Methods with high spatio-temporal sensitivity are needed to provide insight into the interplay between automatic and controlled processing...
2018: PloS One
https://www.readbyqxmd.com/read/29327161/effects-of-channel-blocking-on-information-transmission-and-energy-efficiency-in-squid-giant-axons
#15
Yujiang Liu, Yuan Yue, Yuguo Yu, Liwei Liu, Lianchun Yu
Action potentials are the information carriers of neural systems. The generation of action potentials involves the cooperative opening and closing of sodium and potassium channels. This process is metabolically expensive because the ions flowing through open channels need to be restored to maintain concentration gradients of these ions. Toxins like tetraethylammonium can block working ion channels, thus affecting the function and energy cost of neurons. In this paper, by computer simulation of the Hodgkin-Huxley neuron model, we studied the effects of channel blocking with toxins on the information transmission and energy efficiency in squid giant axons...
January 11, 2018: Journal of Computational Neuroscience
https://www.readbyqxmd.com/read/29323043/neural-computational-modeling-reveals-a-major-role-of-corticospinal-gating-of-central-oscillations-in-the-generation-of-essential-tremor
#16
Hong-En Qu, Chuanxin M Niu, Si Li, Man-Zhao Hao, Zi-Xiang Hu, Qing Xie, Ning Lan
Essential tremor, also referred to as familial tremor, is an autosomal dominant genetic disease and the most common movement disorder. It typically involves a postural and motor tremor of the hands, head or other part of the body. Essential tremor is driven by a central oscillation signal in the brain. However, the corticospinal mechanisms involved in the generation of essential tremor are unclear. Therefore, in this study, we used a neural computational model that includes both monosynaptic and multisynaptic corticospinal pathways interacting with a propriospinal neuronal network...
December 2017: Neural Regeneration Research
https://www.readbyqxmd.com/read/29321394/-chrono-nutrition-and-n-3-polyunsaturated-fatty-acid
#17
Shigenobu Shibata, Akiko Furutani
Circadian clock system has been widely maintained in many spices from prokaryote to mammals. "Circadian" means "approximately day" in Latin, thus circadian rhythm means about 24 hour rhythms. The earth revolves once every 24 hours, and our circadian system has been developed for adjusting to this 24 hour cycles, to get sun light information for getting their foods or for alive in birds or mammals. We have two different circadian systems so-called main oscillator located in the suprachiasmatic nucleus (SCN) of the hypothalamus, and local oscillator located in the various peripheral organ tissues such as liver, kidney and skeletal muscle...
2018: Nihon Yakurigaku Zasshi. Folia Pharmacologica Japonica
https://www.readbyqxmd.com/read/29317186/perturbation-of-theta-gamma-coupling-at-the-temporal-lobe-hinders-verbal-declarative-memory
#18
Gabriel Amador de Lara, Ivan Alekseichuk, Zsolt Turi, Albert Lehr, Andrea Antal, Walter Paulus
BACKGROUND: Phase-amplitude cross-frequency coupling (PAC) is characterized by the modulation of the power of a fast brain oscillation (e.g., gamma) by the phase of a slow rhythm (e.g., theta). PAC in different sub- and neocortical regions is known to underlie effective neural communication and correlates with successful long-term memory formation. OBJECTIVE/HYPOTHESIS: The present work aims to extend earlier observational data, by probing the functional role of theta-gamma PAC in the left temporal cortex in humans during verbal long-term memory encoding...
December 25, 2017: Brain Stimulation
https://www.readbyqxmd.com/read/29317073/micro-calibration-of-space-and-motion-by-photoreceptors-synchronized-in-parallel-with-cortical-oscillations-a-unified-theory-of-visual-perception
#19
Ravinder Jerath, Shannon M Cearley, Vernon A Barnes, Mike Jensen
A fundamental function of the visual system is detecting motion, yet visual perception is poorly understood. Current research has determined that the retina and ganglion cells elicit responses for motion detection; however, the underlying mechanism for this is incompletely understood. Previously we proposed that retinogeniculo-cortical oscillations and photoreceptors work in parallel to process vision. Here we propose that motion could also be processed within the retina, and not in the brain as current theory suggests...
January 2018: Medical Hypotheses
https://www.readbyqxmd.com/read/29313982/layer-specific-e-i-balances-during-neuronal-synchronization-in-the-visual-cortex
#20
Hillel Adesnik
Rhythmic activity can synchronize neural ensembles within and across cortical layers. While gamma band rhythmicity has been observed in all layers, the laminar sources and functional impacts of neuronal synchronization in the cortex remain incompletely understood. Here, layer-specific optogenetic stimulation demonstrates that populations of excitatory neurons in any cortical layer of the mouse's primary visual cortex are sufficient to powerfully entrain neuronal oscillations in the gamma band. Within each layer, inhibition balances excitation and keeps activity in check...
January 5, 2018: Journal of Physiology
keyword
keyword
54853
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"