scholarly journals Rapid Temporal Modulation of Synchrony by Competition in Cortical Interneuron Networks

2004 ◽  
Vol 16 (2) ◽  
pp. 251-275 ◽  
Author(s):  
P.H.E. Tiesinga ◽  
T. J. Sejnowski
Keyword(s):  
Cortical Neurons ◽  
Pyramidal Neurons ◽  
Background Activity ◽  
Pyramidal Cells ◽  
Spike Timing ◽  
Network Activity ◽  
Local Networks ◽  
Rapid Changes ◽  
Asynchronous State ◽  
The Impact

The synchrony of neurons in extrastriate visual cortex is modulated by selective attention even when there are only small changes in firing rate (Fries, Reynolds, Rorie, & Desimone, 2001). We used Hodgkin-Huxley type models of cortical neurons to investigate the mechanism by which the degree of synchrony can be modulated independently of changes in firing rates. The synchrony of local networks of model cortical interneurons interacting through GABAA synapses was modulated on a fast timescale by selectively activating a fraction of the interneurons. The activated interneurons became rapidly synchronized and suppressed the activity of the other neurons in the network but only if the network was in a restricted range of balanced synaptic background activity. During stronger background activity, the network did not synchronize, and for weaker background activity, the network synchronized but did not return to an asynchronous state after synchronizing. The inhibitory output of the network blocked the activity of pyramidal neurons during asynchronous network activity, and during synchronous network activity, it enhanced the impact of the stimulus-related activity of pyramidal cells on receiving cortical areas (Salinas & Sejnowski, 2001). Synchrony by competition provides a mechanism for controlling synchrony with minor alterations in rate, which could be useful for information processing. Because traditional methods such as cross-correlation and the spike field coherence require several hundred milliseconds of recordings and cannot measure rapid changes in the degree of synchrony, we introduced a new method to detect rapid changes in the degree of coincidence and precision of spike timing.

Effect of Common Anesthetics on Dendritic Properties in Layer 5 Neocortical Pyramidal Neurons

2008 ◽  
Vol 99 (3) ◽  
pp. 1394-1407 ◽  
Author(s):  
Sarah Potez ◽  
Matthew E. Larkum
Keyword(s):  
High Frequency ◽  
Pyramidal Neurons ◽  
Animal Experiments ◽  
Apical Dendrite ◽  
Network Activity ◽  
Calcium Spikes ◽  
Firing Properties ◽  
The Impact

Understanding the impact of active dendritic properties on network activity in vivo has so far been restricted to studies in anesthetized animals. However, to date no study has been made to determine the direct effect of the anesthetics themselves on dendritic properties. Here, we investigated the effects of three types of anesthetics commonly used for animal experiments (urethane, pentobarbital and ketamine/xylazine). We investigated the generation of calcium spikes, the propagation of action potentials (APs) along the apical dendrite and the somatic firing properties in the presence of anesthetics in vitro using dual somatodendritic whole cell recordings. Calcium spikes were evoked with dendritic current injection and high-frequency trains of APs at the soma. Surprisingly, we found that the direct actions of anesthetics on calcium spikes were very different. Two anesthetics (urethane and pentobarbital) suppressed dendritic calcium spikes in vitro, whereas a mixture of ketamine and xylazine enhanced them. Propagation of spikes along the dendrite was not significantly affected by any of the anesthetics but there were various changes in somatic firing properties that were highly dependent on the anesthetic. Last, we examined the effects of anesthetics on calcium spike initiation and duration in vivo using high-frequency trains of APs generated at the cell body. We found the same anesthetic-dependent direct effects in addition to an overall reduction in dendritic excitability in anesthetized rats with all three anesthetics compared with the slice preparation.

Differential Impact of Miniature Synaptic Potentials on the Soma and Dendrites of Pyramidal Neurons In Vivo

1997 ◽  
Vol 78 (3) ◽  
pp. 1735-1739 ◽  
Author(s):  
Denis Paré ◽  
Elen Lebel ◽  
Eric J. Lang
Keyword(s):  
Pyramidal Neurons ◽  
Pyramidal Cells ◽  
Input Resistance ◽  
Differential Impact ◽  
Synaptic Potentials ◽  
Ampa Antagonists ◽  
Intact Brain ◽  
The Impact

Paré, Denis, Elen LeBel, and Eric J. Lang. Differential impact of miniature synaptic potentials on the somata and dendrites of pyramidal neurons in vivo. J. Neurophysiol. 78: 1735–1739, 1997. We studied the impact of transmitter release resistant to tetrodotoxin (TTX) in morphologically identified neocortical pyramidal neurons recorded intracellularly in barbiturate-anesthetized cats. It was observed that TTX-resistant release occurs in pyramidal neurons in vivo and at much higher frequencies than was previously reported in vitro. Further, in agreement with previous findings indicating that GABAergic and glutamatergic synapses are differentially distributed in the somata and dendrites of pyramidal cells, we found that most miniature synaptic potentials were sensitive to γ-aminobutyric acid-A (GABAA) or α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) antagonists in presumed somatic and dendritic impalements, respectively. Pharmacological blockage of spontaneous synaptic events produced large increases in input resistance that were more important in dendritic (≈50%) than somatic (≈10%) impalements. These findings imply that in the intact brain, pyramidal neurons are submitted to an intense spike-independent synaptic bombardment that decreases the space constant of the cells. These results should be taken into account when extrapolating in vitro findings to intact brains.

scholarly journals Self-tuning of inhibition by endocannabinoids shapes spike-time precision in CA1 pyramidal neurons

2013 ◽  
Vol 110 (8) ◽  
pp. 1930-1944 ◽  
Author(s):  
Franck Dubruc ◽  
David Dupret ◽  
Olivier Caillard
Keyword(s):  
Pyramidal Neurons ◽  
Pyramidal Cells ◽  
Memory Formation ◽  
Spike Timing ◽  
Excitatory Postsynaptic Potential ◽  
Spike Time ◽  
Transient Improvement ◽  
Self Tuning ◽  
Feedforward Inhibition

In the hippocampus, activity-dependent changes of synaptic transmission and spike-timing coordination are thought to mediate information processing for the purpose of memory formation. Here, we investigated the self-tuning of intrinsic excitability and spiking reliability by CA1 hippocampal pyramidal cells via changes of their GABAergic inhibitory inputs and endocannabinoid (eCB) signaling. Firing patterns of CA1 place cells, when replayed in vitro, induced an eCB-dependent transient reduction of spontaneous GABAergic activity, sharing the main features of depolarization-induced suppression of inhibition (DSI), and conditioned a transient improvement of spike-time precision during consecutive burst discharges. When evaluating the consequences of DSI on excitatory postsynaptic potential (EPSP)-spike coupling, we found that transient reductions of uncorrelated (spontaneous) or correlated (feedforward) inhibition improved EPSP-spike coupling probability. The relationship between EPSP-spike-timing reliability and inhibition was, however, more complex: transient reduction of correlated (feedforward) inhibition disrupted or improved spike-timing reliability according to the initial spike-coupling probability. Thus eCB-mediated tuning of pyramidal cell spike-time precision is governed not only by the initial level of global inhibition, but also by the ratio between spontaneous and feedforward GABAergic activities. These results reveal that eCB-mediated self-tuning of spike timing by the discharge of pyramidal cells can constitute an important contribution to place-cell assemblies and memory formation in the hippocampus.

scholarly journals Spontaneous dynamics of neural networks in deep layers of prefrontal cortex

2017 ◽  
Vol 117 (4) ◽  
pp. 1581-1594 ◽  
Author(s):  
Andrew S. Blaeser ◽  
Barry W. Connors ◽  
Arto V. Nurmikko
Keyword(s):  
Prefrontal Cortex ◽  
Spontaneous Activity ◽  
Calcium Imaging ◽  
Cortical Neurons ◽  
Rhythmic Activity ◽  
Network Activity ◽  
Local Networks ◽  
Spatiotemporal Scale ◽  
Deep Layers ◽  
Delta Oscillations

Cortical systems maintain and process information through the sustained activation of recurrent local networks of neurons. Layer 5 is known to have a major role in generating the recurrent activation associated with these functions, but relatively little is known about its intrinsic dynamics at the mesoscopic level of large numbers of neighboring neurons. Using calcium imaging, we measured the spontaneous activity of networks of deep-layer medial prefrontal cortical neurons in an acute slice model. Inferring the simultaneous activity of tens of neighboring neurons, we found that while the majority showed only sporadic activity, a subset of neurons engaged in sustained delta frequency rhythmic activity. Spontaneous activity under baseline conditions was weakly correlated between pairs of neurons, and rhythmic neurons showed little coherence in their oscillations. However, we consistently observed brief bouts of highly synchronous activity that must be attributed to network activity. NMDA-mediated stimulation enhanced rhythmicity, synchrony, and correlation within these local networks. These results characterize spontaneous prefrontal activity at a previously unexplored spatiotemporal scale and suggest that medial prefrontal cortex can act as an intrinsic generator of delta oscillations. NEW & NOTEWORTHY Using calcium imaging and a novel analytic framework, we characterized the spontaneous and NMDA-evoked activity of layer 5 prefrontal cortex at a largely unexplored spatiotemporal scale. Our results suggest that the mPFC microcircuitry is capable of intrinsically generating delta oscillations and sustaining synchronized network activity that is potentially relevant for understanding its contribution to cognitive processes.

Spike Timing of Lacunosom-Moleculare Targeting Interneurons and CA3 Pyramidal Cells During High-Frequency Network Oscillations In Vitro

2007 ◽  
Vol 98 (1) ◽  
pp. 96-104 ◽  
Author(s):  
Jay Spampanato ◽  
Istvan Mody
Keyword(s):  
High Frequency ◽  
Epileptiform Activity ◽  
Field Potential ◽  
Pyramidal Cells ◽  
Gamma Oscillations ◽  
Spike Timing ◽  
Network Activity ◽  
Network Oscillations ◽  
Ca3 Pyramidal Cells

Network activity in the 200- to 600-Hz range termed high-frequency oscillations (HFOs) has been detected in epileptic tissue from both humans and rodents and may underlie the mechanism of epileptogenesis in experimental rodent models. Slower network oscillations including theta and gamma oscillations as well as ripples are generated by the complex spike timing and interactions between interneurons and pyramidal cells of the hippocampus. We determined the activity of CA3 pyramidal cells, stratum oriens lacunosum-moleculare (O-LM) and s. radiatum lacunosum-moleculare (R-LM) interneurons during HFO in the in vitro low-Mg2+ model of epileptiform activity in GIN mice. In these animals, interneurons can be identified prior to cell-attached recordings by the expression of green-fluorescent protein (GFP). Simultaneous local field potential recordings from s. pyramidale and on-cell recordings of individual interneurons and principal cells revealed three primary firing behaviors of the active cells: 36% of O-LM interneurons and 60% of pyramidal cells fired action potentials at high frequencies during the HFO. R-LM interneurons were biphasic in that they fired at high frequency at the beginning of the HFO but stopped firing before its end. When considering only the highest frequency component of the oscillations most pyramidal cells fired on the rising phase of the oscillation. These data provide evidence for functional distinction during HFOs within otherwise homogeneous groups of O-LM interneurons and pyramidal cells.

scholarly journals Alzheimer’s disease brain-derived tau-containing extracellular vesicles: Pathobiology and GABAergic neuronal transmission

2020 ◽  
Author(s):  
Zhi Ruan ◽  
Dhruba Pathak ◽  
Srinidhi Venkatesan Kalavai ◽  
Asuka Yoshii-Kitahara ◽  
Satoshi Muraoka ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Extracellular Vesicles ◽  
Cortical Neurons ◽  
Pyramidal Neurons ◽  
Molecular Layer ◽  
Pyramidal Cells ◽  
Gabaergic Neurons ◽  
Dot Blot ◽  
Patch Clamp Recording

AbstractExtracellular vesicles (EVs) propagate tau pathology for Alzheimer’s disease (AD). How EV transmission influences AD are, nonetheless, poorly understood. To these ends, the physicochemical and molecular structure-function relationships of human brain-derived EVs, from AD and prodromal AD (pAD), were compared to non-demented controls (CTRL). AD EVs were shown to be significantly enriched in epitope-specific tau oligomers versus pAD or CTRL EVs assayed by dot-blot and atomic force microscopy tests. AD EVs were efficiently internalized by murine cortical neurons and transferred tau with higher aggregation potency than pAD and CTRL EVs. Strikingly, inoculation of tau-containing AD EVs into the outer molecular layer of the dentate gyrus induced tau propagation throughout the hippocampus. This was seen in 22 months-old C57BL/6 mice at 4.5 months post-injection by semiquantitative brain-wide immunohistochemistry tests with multiple anti-phospho-tau (p-tau) antibodies. Inoculation of the equal amount of tau from CTRL EVs or as oligomer or fibril-enriched fraction from the same AD donor showed little propagation. AD EVs induced tau accumulation in the hippocampus as oligomers or sarkosyl-insoluble proteins. Unexpectedly, p-tau cells were mostly GAD67+ GABAergic neurons and to a lesser extent, GluR2/3+ excitatory mossy cells, showing preferential EV-mediated GABAergic neuronal tau propagation. Whole-cell patch clamp recording of Cornu Ammonis (CA1) pyramidal cells showed significant reduction in the amplitude of spontaneous inhibitory post-synaptic currents. This was accompanied by reductions in c-fos+ GAD67+GABAergic neurons and GAD67+ GABAergic neuronal puncta surrounding pyramidal neurons in the CA1 region confirming reduced interneuronal projections. Our study posits a novel tau-associated pathological mechanism for brain-derived EVs.

scholarly journals Computer modeling of hippocampal CA1 pyramidal cells - a tool for in silico experiments

2015 ◽  
Vol 61 (1) ◽  
pp. 15-24 ◽  
Author(s):  
Júlia Metz ◽  
T. Szilágyi ◽  
M. Perian ◽  
K. Orbán-Kis
Keyword(s):  
Pyramidal Cell ◽  
In Silico ◽  
Action Potentials ◽  
Firing Pattern ◽  
Cell Model ◽  
Pyramidal Cells ◽  
Spike Timing ◽  
Network Activity ◽  
Ca1 Pyramidal Cells ◽  
Neuronal Network Activity

Abstract Objective. In silico experiments use mathematical models that capture as much as possible from the properties of the biological system under investigation. Our aim was to test the publicly available CA1 pyramidal cell models using the same simulation tasks, to compare them, and provide a systematic overview of their properties in order to improve the usefulness of these models as a tool for in silico experiments. Methods. Parameters describing the morphology of the cells and the implemented biophysical mechanisms were collected from the Model DB database of Sense Lab Project. This data was analyzed in correlation with the purpose for which each particular model was developed. Multicompartmental simulations were run using the Neuron modeling platform. The properties of the action potentials generated in response to current injection, the firing pattern and the dendritic back-propagation were analyzed. Results. The studied models were optimized to explore different physiological and pathological properties of the CA1 pyramidal cells. We could identify four broad classes of models focusing on: (i) initiation of the action potential, firing pattern and spike timing, (ii) dendritic backpropagation, (iii) dendritic integration of synaptic inputs and (iv) neuronal network activity. Despite the large variation of the active conductances implemented in the models, the properties of the individual action potentials were quite similar, but even the most complex models could not reproduce all studied biological phenomena. Conclusions. At the moment the “perfect” pyramidal cell model is not yet available. Our work, hopefully, will help finding the best model for each scientific question under investigation.

scholarly journals Neurodegeneration exposes firing rate dependent effects on oscillation dynamics in computational neural networks

2019 ◽  
Author(s):  
D. Gabrieli ◽  
Samantha N. Schumm ◽  
B. Parvesse ◽  
D.F. Meaney
Keyword(s):  
Neural Networks ◽  
Firing Rate ◽  
Spike Timing ◽  
Network Activity ◽  
Spike Timing Dependent Plasticity ◽  
Dependent Plasticity ◽  
Inhibitory Circuitry ◽  
Excitatory Neurons ◽  
Oscillation Dynamics ◽  
The Impact

AbstractTraumatic brain injury (TBI) can lead to neurodegeneration in the injured circuitry, either through primary structural damage to the neuron or secondary effects that disrupt key cellular processes. Moreover, traumatic injuries can preferentially impact subpopulations of neurons, but the functional network effects of these targeted degeneration profiles remain unclear. Although isolating the consequences of complex injury dynamics and long-term recovery of the circuit can be difficult to control experimentally, computational networks can be a powerful tool to analyze the consequences of injury. Here, we use the Izhikevich spiking neuron model to create networks representative of cortical tissue. After an initial settling period with spike-timing-dependent plasticity (STDP), networks developed rhythmic oscillations similar to those seenin vivo. As neurons were sequentially removed from the network, population activity rate and oscillation dynamics were significantly reduced. In a successive period of network restructuring with STDP, network activity levels were returned to baseline for some injury levels and oscillation dynamics significantly improved. We next explored the role that specific neurons have in the creation and termination of oscillation dynamics. We determined that oscillations initiate from activation of low firing rate neurons with limited structural inputs. To terminate oscillations, high activity excitatory neurons with strong input connectivity activate downstream inhibitory circuitry. Finally, we confirm the excitatory neuron population role through targeted neurodegeneration. These results suggest targeted neurodegeneration can play a key role in the oscillation dynamics after injury.Author SummaryIn this study, we study the impact of neuronal degeneration – a process that commonly occurs after traumatic injury and neurodegenerative disease – on the neuronal dynamics in a cortical network. We create computational models of neural networks and include spike timing plasticity to alter the synaptic strength among connections as networks remodel after simulated injury. We find that spike-timing dependent plasticity helps recover the neural dynamics of an injured microcircuit, but it frequently cannot recover the original oscillation dynamics in an uninjured network. In addition, we find that selectively injuring excitatory neurons with the highest firing rate reduced the neuronal oscillations in a circuit much more than either random deletion or the removing neurons with the lowest firing rate. In all, these data suggest (a) plasticity reduces the consequences of neurodegeneration and (b) losing the most active neurons in the network has the most adverse effect on neural oscillations.

scholarly journals Consequences of human Tau aggregation in the hippocampal formation of ageing mice in vivo

2021 ◽  
Author(s):  
Tim J Viney ◽  
Barbara Sarkany ◽  
A Tugrul Ozdemir ◽  
Katja Hartwich ◽  
Judith Schweimer ◽  
...  
Keyword(s):  
Transgenic Mice ◽  
Pyramidal Neurons ◽  
Hippocampal Formation ◽  
Pyramidal Cells ◽  
Reference Memory ◽  
Network Activity ◽  
Motor Impairments ◽  
Tau Aggregation ◽  
High Firing

Intracellular aggregation of hyperphosphorylated Tau (pTau) in the brain is associated with cognitive and motor impairments, and ultimately neurodegeneration. We investigate how human pTau affects cells and network activity in the hippocampal formation of THY-Tau22 tauopathy model mice in vivo. We find that pTau preferentially accumulates in deep-layer pyramidal neurons, leading to neurodegeneration, and we establish that pTau spreads to oligodendrocytes. During goal-directed virtual navigation in aged transgenic mice, we detect fewer high-firing pyramidal cells, with the remaining cells retaining their coupling to theta oscillations. Analysis of network oscillations and firing patterns of pyramidal and GABAergic neurons recorded in head-fixed and freely-moving mice suggests preserved neuronal coordination. In spatial memory tests, transgenic mice have reduced short-term familiarity but spatial working and reference memory are surprisingly normal. We hypothesize that unimpaired subcortical network mechanisms implementing cortical neuronal coordination compensate for the widespread pTau aggregation, loss of high-firing cells and neurodegeneration.

scholarly journals Frequency Dependence of Spike Timing Reliability in Cortical Pyramidal Cells and Interneurons

2001 ◽  
Vol 85 (4) ◽  
pp. 1782-1787 ◽  
Author(s):  
J.-M. Fellous ◽  
A. R. Houweling ◽  
R. H. Modi ◽  
R.P.N. Rao ◽  
P.H.E. Tiesinga ◽  
...  
Keyword(s):  
Cortical Neurons ◽  
Phase Locking ◽  
Pyramidal Cells ◽  
Limited Range ◽  
Spike Timing ◽  
Current Injection ◽  
Constant Current ◽  
Intrinsic Frequency ◽  
Spike Threshold ◽  
Subthreshold Oscillations

Pyramidal cells and interneurons in rat prefrontal cortical slices exhibit subthreshold oscillations when depolarized by constant current injection. For both types of neurons, the frequencies of these oscillations for current injection just below spike threshold were 2–10 Hz. Above spike threshold, however, the subthreshold oscillations in pyramidal cells remained low, but the frequency of oscillations in interneurons increased up to 50 Hz. To explore the interaction between these intrinsic oscillations and external inputs, the reliability of spiking in these cortical neurons was studied with sinusoidal current injection over a range of frequencies above and below the intrinsic frequency. Cortical neurons produced 1:1 phase locking for a limited range of driving frequencies for fixed amplitude. For low-input amplitude, 1:1 phase locking was obtained in the 5- to 10-Hz range. For higher-input amplitudes, pyramidal cells phase-locked in the 5- to 20-Hz range, whereas interneurons phase-locked in the 5- to 50-Hz range. For the amplitudes studied here, spike time reliability was always highest during 1:1 phase-locking, between 5 and 20 Hz for pyramidal cells and between 5 and 50 Hz for interneurons. The observed differences in the intrinsic frequency preference between pyramidal cells and interneurons have implications for rhythmogenesis and information transmission between populations of cortical neurons.

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