Pascal Benquet

Group i metabotropic glutamate receptors activate a calcium-sensitive transient receptor potential-like conductance in rat hippocampus

In CA3 pyramidal neurons from organotypic slice cultures, activation of Gq‐coupled group I metabotropic glutamate receptors (mGluRs) induces a non‐selective cationic conductance that enhances excitability. We have found that this response shares several properties with conductances that are mediated by the transient receptor potential (TRP) family of ion channels, including inhibition by La3+, 2‐aminoethoxydiphenylborane (2APB), cis‐N‐(2‐phenylcyclopentyl)azacyclotridec‐1‐en‐2‐amine (MDL 12,330A) and a doubly rectifying current‐voltage relationship. Stimulation of mGluR1 and mGluR5 converged to activate the TRP‐like conductance in a synergistic manner, and activation of either subtype alone produced only a fraction of the normal response. Activation of the cationic current required elevated intracellular Ca2+. Chelating intracellular Ca2+ or blocking Ca2+ entry through voltage‐gated Ca2+ channels attenuated responses to the activation of mGluRs. Conversely, raising intracellular Ca2+ potentiated mGluR activation of the TRP‐like conductance. Under control conditions, blocking G protein activation using intracellular GDPβS with or without N‐(2, 6‐dimethylphenylcarbamoylmethyl) triethylammonium chloride (QX‐314) prevented mGluR‐mediated activation of the TRP‐like conductance. Following G protein blockade, however, the coupling between mGluRs 1 and/or 5 and the TRP‐like conductance was rescued by increasing intracellular Ca2+. This suggests that a G protein‐independent signalling pathway is also activated by group I mGluRs. Such a pathway may represent an alternative transduction mechanism to maintain metabotropic responses under conditions where G proteins are functionally uncoupled from their cognate receptors.

NMDA receptors and the differential ischemic vulnerability of hippocampal neurons

Transient cerebral ischemia causes an inhomogeneous pattern of cell death in the brain. We investigated mechanisms, which may underlie the greater susceptibility of hippocampal CA1 vs. CA3 pyramidal cells to ischemic insult. Using an in vitro oxygen–glucose deprivation (OGD) model of ischemia, we found that N‐methyl‐d‐aspartate (NMDA) responses were enhanced in the more susceptible CA1 pyramidal cells and transiently depressed in the resistant CA3 pyramidal cells. The long‐lasting potentiation of NMDA responses in CA1 cells was associated with delayed cell death and was prevented by blocking tyrosine kinase‐dependent up‐regulation of NMDA receptor function. In CA3 cells, the energy deprivation‐induced transient depression of NMDA responses was converted to potentiation by blocking protein phosphatase signalling. These results suggest that energy deprivation differentially shifts the intracellular equilibrium between the tyrosine kinase and phosphatase activities that modulate NMDA responses in CA1 and CA3 pyramidal cells. Therapeutic modulation of tyrosine phosphorylation may thus prove beneficial in mitigating ischemia‐induced neuronal death in vulnerable brain areas.

Distinct hyperexcitability mechanisms underlie fast ripples and epileptic spikes

In partial epilepsies, interictal epileptic spikes (IESs) and fast ripples (FRs) represent clinically relevant biomarkers characteristic of epileptogenic networks. However, their specific significance and the pathophysiological changes leading to either FRs or IESs remain elusive. The objective of this study was to analyze the conditions in which hyperexcitable networks can generate either IESs or FRs and to reveal shared or distinct mechanisms that underlie both types of events.

Interictal spikes, fast ripples and seizures in partial epilepsies - combining multi-level computational models with experimental data.

Epileptic seizures, epileptic spikes and high‐frequency oscillations (HFOs) are recognized as three electrophysiological markers of epileptogenic neuronal systems. It can be reasonably hypothesized that distinct (hyper)excitability mechanisms underlie these electrophysiological signatures. The question is ‘What are these mechanisms?’. Solving this difficult question would considerably help our understanding of epileptogenic processes and would also advance our interpretation of electrophysiological signals. In this paper, we show how computational models of brain epileptic activity can be used to address this issue. With a special emphasis on the hippocampal activity recorded in various experimental models (in vivo and in vitro) as well as in epileptic patients, we confront results and insights we can get from computational models lying at two different levels of description, namely macroscopic (neural mass) and microscopic (detailed network of neurons). At each level, we show how spikes, seizures and HFOs can (or cannot) be generated depending on the model features. The replication of observed signals, the prediction of possible mechanisms as well as their experimental validation are described and discussed; as are the advantages and limitations of the two modelling approaches.

Differential Calcium-Dependent Modulation of NMDA Currents in CA1 and CA3 Hippocampal Pyramidal Cells

Neuronal Ca2+ influx via NMDA receptors (NMDARs) is essential for the development and plasticity of synapses but also triggers excitotoxic cell death when critical intracellular levels are exceeded. Therefore, finely equilibrated mechanisms are necessary to ensure that NMDAR function is maintained within a homeostatic range. Here we describe a pronounced difference in the modulation of NMDA currents in two closely related hippocampal cell types, the CA1 and the CA3 pyramidal cells (PCs). Manipulations that increase intracellular Ca2+ levels strongly depressed NMDA currents in CA3 with only minor effects in CA1 PCs. Furthermore, activation of Gq-coupled metabotropic receptors potentiated NMDA currents in CA1 PCs but depressed them in CA3 PCs. Interestingly, the CA3 type modulation of NMDARs could be converted into CA1-like behavior, and vice versa, by increasing Ca2+ buffering in CA3 cells or decreasing Ca2+ buffering in CA1 cells, respectively. Our data suggest that a differential Ca2+ sensitivity of the regulatory cascades targeting NMDARs plays a key role in determining the direction and magnitude of NMDA responses in various types of neurons. These findings may have important implications for NMDA receptor-dependent synaptic plasticity and the differential sensitivity of CA1 and CA3 PCs to NMDAR-dependent ischemic cell death.

Analysis of Intracerebral EEG Recordings of Epileptic Spikes: Insights From a Neural Network Model

The pathophysiological interpretation of EEG signals recorded with depth electrodes [i.e., local field potentials (LFPs)] during interictal (between seizures) or ictal (during seizures) periods is fundamental in the presurgical evaluation of patients with drug-resistant epilepsy. Our objective was to explain specific shape features of interictal spikes in the hippocampus (observed in LFPs) in terms of cell- and network-related parameters of neuronal circuits that generate these events. We developed a neural network model based on ldquominimalrdquo but biologically relevant neuron models interconnected through GABAergic and glutamatergic synapses that reproduce the main physiological features of the CA1 subfield. Simulated LFPs were obtained by solving the forward problem (dipole theory) from networks including a large number (~3000) of cells. Insertion of appropriate parameters allowed the model to simulate events that closely resemble actual epileptic spikes. Moreover, the shape of the early fast component (ldquospikerdquo) and the late slow component (ldquonegative waverdquo) was linked to the relative contribution of glutamatergic and GABAergic synaptic currents in pyramidal cells. In addition, the model provides insights about the sensitivity of electrode localization with respect to recorded tissue volume and about the relationship between the LFP and the intracellular activity of principal cells and interneurons represented in the network.

Muscarinic receptor stimulation reduces NMDA responses in CA3 hippocampal pyramidal cells via Ca2+-dependent activation of tyrosine phosphatase.

N-methyl-D-aspartate (NMDA)-type glutamate receptors perform critical functions during the development of the nervous system and in the initiation of synaptic plasticity. An important mechanism in setting the gain of NMDA receptors involves the stimulation of G-protein-coupled receptors (GPCRs), which through activation of protein tyrosine kinases leads to an upregulation of NMDA receptors. In contrast, little is known about how NMDA receptors are downregulated. In the present study, we characterized a signaling pathway that mediates the depression of NMDA receptor function in response to stimulation of muscarinic acetylcholine receptors. Whole-cell patch-clamp recordings obtained from CA3 pyramidal cells in organotypic slice cultures revealed that under conditions of low intracellular calcium buffering application of muscarine-depressed NMDA receptor current. The sensitivity of this response to pirenzipine indicated that the M1 acetylcholine receptor is mediating this depression. The muscarine-induced depression of NMDA current was prevented by blocking G-protein function or after depleting intracellular Ca2+ stores with cyclopiazonic acid. Inhibitors of calmodulin prevented the depression whereas blocking calcineurin enhanced the depression of NMDA currents. Blocking tyrosine phosphatase activity with pervanandate converted the muscarine-induced depression into a potentiation of NMDA currents, whereas blocking protein kinase A (H-89), Src kinase (PP2, SU6656), or PKC (GF 109203X) failed to prevent the depression of NMDA currents. As Src tyrosine kinase is known to phosphorylate and upregulate NMDA receptors, we propose that a protein tyrosine phosphatase(s) counteracting the action of Src is the final target in the mAChR-dependent inhibitory signaling cascade. Our data are consistent with a transduction cascade comprising an M1 acetylcholine receptor-->G-protein-->Ca2+ release-->calmodulin-->tyrosine phosphatase.

Shape features of epileptic spikes are a marker of epileptogenesis in mice.

To identify reliable biomarkers for quantitatively assessing the development of epilepsy in brain.

Dynamic reorganization of functional brain networks during picture naming.

For efficient information processing during cognitive activity, functional brain networks have to rapidly and dynamically reorganize on a sub-second time scale. Tracking the spatiotemporal dynamics of large scale networks over this short time duration is a very challenging issue. Here, we tackle this problem by using dense electroencephalography (EEG) recorded during a picture naming task. We found that (i) the picture naming task can be divided into six brain network states (BNSs) characterized by significantly high synchronization of gamma (30-45 Hz) oscillations, (ii) fast transitions occur between these BNSs that last from 30 msec to 160 msec, (iii) based on the state of the art of the picture naming task, we consider that the spatial location of their nodes and edges, as well as the timing of transitions, indicate that each network can be associated with one or several specific function (from visual processing to articulation) and (iv) the comparison with previously-used approach aimed at localizing the sources showed that the network-based approach reveals networks that are more specific to the performed task. We speculate that the persistence of several brain regions in successive BNSs participates to fast and efficient information processing in the brain.

Modulation of epileptic activity by deep brain stimulation: a model-based study of frequency-dependent effects

A number of studies showed that deep brain stimulation (DBS) can modulate the activity in the epileptic brain and that a decrease of seizures can be achieved in “responding” patients. In most of these studies, the choice of stimulation parameters is critical to obtain desired clinical effects. In particular, the stimulation frequency is a key parameter that is difficult to tune. A reason is that our knowledge about the frequency-dependant mechanisms according to which DBS indirectly impacts the dynamics of pathological neuronal systems located in the neocortex is still limited. We address this issue using both computational modeling and intracerebral EEG (iEEG) data. We developed a macroscopic (neural mass) model of the thalamocortical network. In line with already-existing models, it includes interconnected neocortical pyramidal cells and interneurons, thalamocortical cells and reticular neurons. The novelty was to introduce, in the thalamic compartment, the biophysical effects of direct stimulation. Regarding clinical data, we used a quite unique data set recorded in a patient (drug-resistant epilepsy) with a focal cortical dysplasia (FCD). In this patient, DBS strongly reduced the sustained epileptic activity of the FCD for low-frequency (LFS, < 2 Hz) and high-frequency stimulation (HFS, > 70 Hz) while intermediate-frequency stimulation (IFS, around 50 Hz) had no effect. Signal processing, clustering, and optimization techniques allowed us to identify the necessary conditions for reproducing, in the model, the observed frequency-dependent stimulation effects. Key elements which explain the suppression of epileptic activity in the FCD include: (a) feed-forward inhibition and synaptic short-term depression of thalamocortical connections at LFS, and (b) inhibition of the thalamic output at HFS. Conversely, modeling results indicate that IFS favors thalamic oscillations and entrains epileptic dynamics.