Calcium extrusion mechanisms in dendrites of mouse hippocampal CA1 inhibitory interneurons

Local circuit GABAergic inhibitory interneurons control the integration and transfer of information in many brain regions. Several different forms of plasticity reported at interneuron excitatory synapses are triggered by cell- and synapse-specific postsynaptic calcium (Ca²⁺) mechanisms. To support this function, the spatiotemporal dynamics of dendritic Ca²⁺ elevations must be tightly regulated. While the dynamics of postsynaptic Ca²⁺ signaling through activation of different Ca²⁺ sources has been explored, the Ca²⁺ extrusion mechanisms that operate in interneuron dendrites during different patterns of activity remain largely unknown. Using a combination of whole-cell patch-clamp recordings and two-photon Ca²⁺ imaging in acute mouse hippocampal slices, we characterized the Ca²⁺ extrusion mechanisms activated by Ca²⁺ transients (CaTs) associated with backpropagating action potentials (bAPs) in dendrites of hippocampal CA1 stratum radiatum interneurons. Our data showed that Ca²⁺ clearance increased as a function of activity, pointing to an activity-dependent recruitment of specific Ca²⁺ extrusion mechanisms. bAP-CaTs were significantly prolonged in the presence of the plasma membrane Ca²⁺ ATPase (PMCA) and Na⁺/Ca²⁺ exchanger (NCX) inhibitors as well as the sarco/endoplasmic reticulum Ca²⁺ ATPase (SERCA) and the mitochondria Ca²⁺ uniporter (MCU) blockers. While PMCA, NCX and SERCA pumps cooperated in the cytosolic Ca²⁺ removal at a wide range of concentrations, the MCU was only activated at higher Ca²⁺ loads produced by repetitive interneuron firing. These results identify a division of labor between distinct Ca²⁺ extrusion mechanisms shaping dendritic Ca²⁺ dynamics and possibly contributing to activity-dependent regulation of synaptic inputs in interneurons. In addition, the MCU activated by larger Ca²⁺ levels may be involved in the activity-dependent ATP production or interneuron-selective vulnerability associated with cytosolic Ca²⁺ overloads under pathological conditions.     

Distinct cannabinoid sensitive receptors regulate hippocampal excitation and inhibition

One of the well-known effects of cannabinoids is the impairment of cognitive processes, including short-term memory formation, by altering hippocampal and neocortical functions reflected in network activity. Acting on presynaptically located G protein-coupled receptors in the hippocampus, cannabinoids modulate the release of neurotransmitter molecules. CB1 cannabinoid receptors, so far the only cloned cannabinoid receptor type in the CNS, are selectively expressed on the axon terminals of a subset of GABAergic inhibitory interneurons containing the neuropeptide cholecystokinin. Activation of CB1 receptors reduces GABA release from presynaptic terminals, thereby increasing the excitability of principal cells. Novel, non-CB1 cannabinoid sensitive receptors are present on the hippocampal excitatory axon terminals, which suppress glutamate release. These cannabinoid receptors have distinct pharmacological features compared to CB1, i.e. WIN 55212-2 is an order of magnitude less potent in reducing glutamatergic transmission than in inhibiting GABAergic postsynaptic currents, and the novel receptor binds vanilloid receptor ligands. Thus, at least two different cannabinoid sensitive presynaptic receptors regulate network activity in the hippocampus, CB1 via the GABAergic interneurons, and a new receptor via a direct action on pyramidal cell axon terminals.     

Interaction between Purkinje cells and inhibitory interneurons may create adjustable output waveforms to generate timed cerebellar output

We develop a new model that explains how the cerebellum may generate the timing in classical delay eyeblink conditioning. Recent studies show that both Purkinje cells (PCs) and inhibitory interneurons (INs) have parallel signal processing streams with two time scales: an AMPA receptor-mediated fast process and a metabotropic glutamate receptor (mGluR)-mediated slow process. Moreover, one consistent finding is an increased excitability of PC dendrites (in Larsell's lobule HVI) in animals when they acquire the classical delay eyeblink conditioning naturally, in contrast to in vitro studies, where learning involves long-term depression (LTD). Our model proposes that the delayed response comes from the slow dynamics of mGluR-mediated IP3 activation, and the ensuing calcium concentration change, and not from LTP/LTD. The conditioned stimulus (tone), arriving on the parallel fibers, triggers this slow activation in INs and PC spines. These excitatory (from PC spines) and inhibitory (from INs) signals then interact at the PC dendrites to generate variable waveforms of PC activation. When the unconditioned stimulus (puff), arriving on the climbing fibers, is coupled frequently with this slow activation the waveform is amplified (due to an increased excitability) and leads to a timed pause in the PC population. The disinhibition of deep cerebellar nuclei by this timed pause causes the delayed conditioned response. This suggested PC-IN interaction emphasizes a richer role of the INs in learning and also conforms to the recent evidence that mGluR in the cerebellar cortex may participate in slow motor execution. We show that the suggested mechanism can endow the cerebellar cortex with the versatility to learn almost any temporal pattern, in addition to those that arise in classical conditioning.     

Balancing feed-forward excitation and inhibition via Hebbian inhibitory synaptic plasticity

It has been suggested that excitatory and inhibitory inputs to cortical cells are balanced, and that this balance is important for the highly irregular firing observed in the cortex. There are two hypotheses as to the origin of this balance. One assumes that it results from a stable solution of the recurrent neuronal dynamics. This model can account for a balance of steady state excitation and inhibition without fine tuning of parameters, but not for transient inputs. The second hypothesis suggests that the feed forward excitatory and inhibitory inputs to a postsynaptic cell are already balanced. This latter hypothesis thus does account for the balance of transient inputs. However, it remains unclear what mechanism underlies the fine tuning required for balancing feed forward excitatory and inhibitory inputs. Here we investigated whether inhibitory synaptic plasticity is responsible for the balance of transient feed forward excitation and inhibition. We address this issue in the framework of a model characterizing the stochastic dynamics of temporally anti-symmetric Hebbian spike timing dependent plasticity of feed forward excitatory and inhibitory synaptic inputs to a single post-synaptic cell. Our analysis shows that inhibitory Hebbian plasticity generates 'negative feedback' that balances excitation and inhibition, which contrasts with the 'positive feedback' of excitatory Hebbian synaptic plasticity. As a result, this balance may increase the sensitivity of the learning dynamics to the correlation structure of the excitatory inputs.     

Kainate receptor activation enhances both tonic and phasic GABA-ergic inhibition in CA1 hippocampal interneurons

Kainate receptor agonists are powerful convulsants and excitotoxins. It has been a lot of controversy around functions of these receptors in the brain. It is shown in this article that kainate enhances evoked GABAergic IPSC (phasic currents) in CA1 interneurons in concentration-dependent manner. The phenomenon is likely to be due to kainate-mediated lowering of the threshold for action potential generation in interneuron axons and increased number of terminals responding to the same stimulus strength. Kainate application also induced an enhancement in tonic GABAergic conductance. This phenomenon can be attributed to massive extracellular GABA accumulation caused by interneuron firing in the presence of kainate. Extracellular GABA also shunts synaptic currents by activating tonic conductance as well as desensitizing synaptic GABAA receptors. Thus, the enhancement of the evoked IPSCs by 1 microM kainate was complicated by early and transient decrease. The kainate receptor-mediated enhancement of GABAergic tonic and phasic signalling to interneurons can contribute to the depression of GABAergic transmission to pyramidal neurons. The consequence of this phenomenon may play a major role in the epileptogenic action of this agent.     

Opioid inhibition of GABA release from presynaptic terminals of rat hippocampal interneurons.

Opiates and the opioid peptide enkephalin can cause indirect excitation of principal cortical neurons by reducing inhibitory synaptic transmission mediated by GABAergic interneurons. The mechanism by which opioids mediate these effects on interneurons is unknown, but enkephalin hyperpolarizes the somatic membrane potential of a variety of neurons in the brain, including hippocampal interneurons. We now report a new, more direct mechanism for the opioid-mediated reduction in synaptic inhibition. The enkephalin analog D-Ala2-Met5-enkephalinamide (DALA) decreases the frequency of miniature, action potential-independent, spontaneous GABAergic inhibitory postsynaptic currents (IPSCs) without causing a change in their amplitude. Thus, we conclude that DALA inhibits the action potential-independent release of GABA through a direct action on interneuronal synaptic terminals. In contrast, DALA reduces the amplitude of action potential-evoked, GABA-mediated IPSCs, as well as decreases their frequency. This suggests that the opioid-mediated inhibition of non-action potential-dependent GABA release reveals a mechanism that contributes to reducing action potential-evoked GABA release, thereby decreasing synaptic inhibition.     

Long-term synaptic plasticity in hippocampal interneurons

Rapid memory formation relies, at least in part, on long-term potentiation (LTP) of excitatory synapses. Inhibitory interneurons of the hippocampus, which are essential for information processing, have recently been found to exhibit not one, but two forms of LTP. One form resembles LTP that occurs in pyramidal neurons, which depends on N-methyl-D-aspartate receptors and is triggered by coincident pre- and postsynaptic activity. The other depends on Ca2+ influx through glutamate receptors that preferentially open when the postsynaptic neuron is at rest. Here we review these contrasting forms of LTP and describe how they are mirrored by two forms of long-term depression. We further discuss how the remarkable plasticity of glutamatergic synapses on interneurons greatly enhances the computational capacity of the cortical microcircuit.     

Direction selectivity of inhibitory interneurons in mouse barrel cortex differs between interneuron subtypes

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Subunit composition of kainate receptors in hippocampal interneurons

Kainate receptor activation affects GABAergic inhibition in the hippocampus by mechanisms that are thought to involve the GluR5 subunit. We report that disruption of the GluR5 subunit gene does not cause the loss of functional KARs in CA1 interneurons, nor does it prevent kainate-induced inhibition of evoked GABAergic synaptic transmission onto CA1 pyramidal cells. However, KAR function is abolished in mice lacking both GluR5 and GluR6 subunits, indicating that KARs in CA1 stratum radiatum interneurons are heteromeric receptors composed of both subunits. In addition, we show the presence of presynaptic KARs comprising the GluR6 but not the GluR5 subunit that modulate synaptic transmission between inhibitory interneurons. The existence of two separate populations of KARs in hippocampal interneurons adds to the complexity of KAR localization and function.     

Synaptogenesis: a balancing act between excitation and inhibition

Recent studies have implicated a number of membrane-associated proteins, including the signaling pair neuroligin and beta-neurexin, in synapse formation, suggesting that they govern the ratio of inhibitory and excitatory synapses on CNS neurons. These findings, together with data indicating that the genes encoding neuroligin and PSD95 are altered in autism patients, suggest that a molecular understanding of complex neurological diseases is within reach.     

Multiple feedback loops in the flying cockroach: excitation of the dorsal and inhibition of the ventral giant interneurons

1. In a tethered cockroach (Periplaneta americana) whose wings have been cut back to stumps, it is possible to elicit brief sequences of flight-like activity by puffing wind on the animal's body. 2. During such brief sequences, rhythmic bursts of action potentials coming from the thorax at the wingbeat frequency, descend the abdominal nerve cord to the last abdominal ganglion (A6). This descending rhythm is often accompanied by an ascending rhythm (Fig. 2). 3. Intracellular recording during flight-like activity from identified ascending giant interneurons, and from some unidentified descending axons in the abdominal nerve cord, shows that: (a) ventral giant interneurons (vGIs) remain silent (Fig. 3); (b) dorsal giant interneurons (dGIs) are activated at the onset of the flight-like activity and remain active sporadically throughout the flight sequence (Fig.4); (c) some descending axons in the abdominal nerve cord show rhythmic activity phase-locked to the flight rhythm (Fig. 5). 4. Also during such brief sequences, the cercal nerves, running from the cerci (paired, posterior, wind sensitive appendages) to the last abdominal ganglion, show rhythmic activity at the wingbeat frequency (Fig. 6). This includes activity of some motor axons controlling vibratory cercal movements and of some sensory axons. 5. More prolonged flight sequences were elicited in cockroaches whose wings were not cut and which flew in front of a wind tunnel (Fig. 1B). 6. In these more prolonged flight sequences, the number of ascending spikes per burst was greater than that seen in the wingless preparation (Fig. 8; compare to Fig. 2). Recordings from both ventral and dorsal GIs show that: in spite of the ongoing wind from both the tunnel and the beating wings, which is far above threshold for the vGIs in a resting cockroach, the vGIs are entirely silent during flight. Moreover, the vGIs response to strong wind puffs that normally evoke maximal GI responses is reduced by a mean of 86% during flight (Fig. 9). The dGIs are active in a strong rhythm (Figs. 11 and 12). 7. Three sources appear to contribute to the ascending dGI rhythm (1) the axons carrying the rhythmic descending bursts; (2) the rhythmic sensory activity resulting from the cercal vibration; and (3) the sensory activity resulting from rhythmic wind gusts produced by the wingbeat and detected by the cerci. The contribution of each source has been tested alone while removing the other two (Figs. 13 and 14). Such experiments suggest that all 3 feedback loops are involved in rhythmically exciting the dGIs (Fig. 15).     

Ripple-associated high-firing interneurons in the hippocampal CA1 region

By simultaneously recording the activity of individual neurons and field potentials in freely behaving mice, we found two types of interneurons firing at high frequency in the hippocampal CA1 region, which had high correlations with characteristic sharp wave-associated ripple oscillations (100―250 Hz) during slow-wave sleep. The firing of these two types of interneurons highly synchronized with ripple oscillations during slow-wave sleep, with strongly increased firing rates corresponding to individual ripple episodes. Interneuron type I had at most one spike in each sub-ripple cycle of ripple episodes and the peak firing rate was 310±33.17 Hz. Interneuron type II had one or two spikes in each sub-ripple cycle and the peak firing rate was 410±47.61 Hz. During active exploration, their firing was phase locked to theta oscillations with the highest probability at the trough of theta wave. Both two types of interneurons increased transiently their firing rates responding to the startling shake stimuli. The results showed that these two types of high-frequency interneurons in the hippocampal CA1 region were involved in the modulation of the hippocampal neural network during different states.     

Ripple-associated high-firing interneurons in the hippocampal CA1 region

By simultaneously recording the activity of individual neurons and field potentials in freely behaving mice, we found two types of interneurons firing at high frequency in the hippocampal CA1 region, which had high correlations with characteristic sharp wave-associated ripple oscillations (100–250 Hz) during slow-wave sleep. The firing of these two types of interneurons highly synchronized with ripple oscillations during slow-wave sleep, with strongly increased firing rates corresponding to individual ripple episodes. Interneuron type I had at most one spike in each sub-ripple cycle of ripple episodes and the peak firing rate was 310±33.17 Hz. Interneuron type II had one or two spikes in each sub-ripple cycle and the peak firing rate was 410±47.61 Hz. During active exploration, their firing was phase locked to theta oscillations with the highest probability at the trough of theta wave. Both two types of interneurons increased transiently their firing rates responding to the startling shake stimuli. The results showed that these two types of high-frequency interneurons in the hippocampal CA1 region were involved in the modulation of the hippocampal neural network during different states.     

Brain interneurons in noctuoid moths: Binaural excitation and slow potentials

A method is described for measuring small differences in the acoustic sensitivity of protocerebral interneurons on one side of the noctuid brain when ultrasonic pulses are directed first at one tympanic organ and then at the other. In 23 preparations ipsilateral sensitivity of the brain interneurons was consistently greater by 3 to 4 dB (range 0–7 dB). The spike response of protocerebral interneurons to tympanic stimulation was accompanied by a negative potential having a time course of 40 to 50 msec in response to a 10 msec stimulus pulse. The consistent positive ipsilateral bias in the sensitivity of brain interneurons is much less than the increased sensitivity of the tympanic organ when sounds originate on the ipsilateral side as compared with its sensitivity to sounds directed at the contralateral side. A possible neural mechanism and the behavioural significance of this arrangement are discussed.     

PHF24 is expressed in the inhibitory interneurons in rats

Noda epileptic rat (NER) is a mutant model for epilepsy that exhibits spontaneous generalized tonic-clonic seizure. Epileptogenesis of NER remains to be elucidated; but it is detected an insertion of an endogenous retrovirus sequence in intron 2 of the PHD finger protein 24 (Phf24) gene, encoding Gαi-interacting protein (GINIP). Phf24 is a strong candidate gene for epileptogenesis in NER. PHF24 modulates GABA_B signaling through interacting with Gαi protein. To clarify the epileptogenesis of NER, we investigated a distribution of PHF24-expressing cells in the central nerve system (CNS). While broad expression of PHF24 was observed in the CNS, characteristic expression was noted in the periglomerular layer of the olfactory bulb and the lamina II of the spinal cord in the control rats. These cells showed co-expression with calbindin or calretinin, inhibitory interneuron markers. In the olfactory bulb, 15.6% and 41.2% of PHF24-positive neurons co-expressed calbindin and calretinin, respectively. Immunoelectron microscopy revealed that PHF24 was located in the presynaptic terminals, synaptic membranes and cytoplasmic matrix of neuronal soma. Our data suggested PHF24 is expressed in the inhibitory interneurons and may play important roles in modulation of the GABA_B signaling.     

Recruitment of parvalbumin-positive interneurons determines hippocampal function and associated behavior

Perisomatic inhibition provided by a subgroup of GABAergic interneurons plays a critical role in timing the output of pyramidal cells. To test their contribution at the network and the behavioral level, we generated genetically modified mice in which the excitatory drive was selectively reduced either by the knockout of the GluR-D or by conditional ablation of the GluR-A subunit in parvalbumin-positive cells. Comparable cell type-specific reductions of AMPA-mediated currents were obtained. Kainate-induced gamma oscillations exhibited reduced power in hippocampal slices from GluR-D-/- and GluR-A(PVCre-/-) mice. Experimental and modeling data indicated that this alteration could be accounted for by imprecise spike timing of fast-spiking cells (FS) caused by smaller interneuronal EPSPs. GluR-D-/- and GluR-A(PVCre-/-) mice exhibited similar impairments in hippocampus-dependent tasks. These findings directly show the effects of insufficient recruitment of fast-spiking cells at the network and behavioral level and demonstrate the role of this subpopulation for working and episodic-like memory.     

Membrane properties and the balance between excitation and inhibition control gamma-frequency oscillations arising from feedback inhibition

Computational studies as well as in vivo and in vitro results have shown that many cortical neurons fire in a highly irregular manner and at low average firing rates. These patterns seem to persist even when highly rhythmic signals are recorded by local field potential electrodes or other methods that quantify the summed behavior of a local population. Models of the 30-80 Hz gamma rhythm in which network oscillations arise through 'stochastic synchrony' capture the variability observed in the spike output of single cells while preserving network-level organization. We extend upon these results by constructing model networks constrained by experimental measurements and using them to probe the effect of biophysical parameters on network-level activity. We find in simulations that gamma-frequency oscillations are enabled by a high level of incoherent synaptic conductance input, similar to the barrage of noisy synaptic input that cortical neurons have been shown to receive in vivo. This incoherent synaptic input increases the emergent network frequency by shortening the time scale of the membrane in excitatory neurons and by reducing the temporal separation between excitation and inhibition due to decreased spike latency in inhibitory neurons. These mechanisms are demonstrated in simulations and in vitro current-clamp and dynamic-clamp experiments. Simulation results further indicate that the membrane potential noise amplitude has a large impact on network frequency and that the balance between excitatory and inhibitory currents controls network stability and sensitivity to external inputs.     

State transitions through inhibitory interneurons in a cortical network model

Inhibitory interneurons shape the spiking characteristics and computational properties of cortical networks. Interneuron subtypes can precisely regulate cortical function but the roles of interneuron subtypes for promoting different regimes of cortical activity remains unclear. Therefore, we investigated the impact of fast spiking and non-fast spiking interneuron subtypes on cortical activity using a network model with connectivity and synaptic properties constrained by experimental data. We found that network properties were more sensitive to modulation of the fast spiking population, with reductions of fast spiking excitability generating strong spike correlations and network oscillations. Paradoxically, reduced fast spiking excitability produced a reduction of global excitation-inhibition balance and features of an inhibition stabilised network, in which firing rates were driven by the activity of excitatory neurons within the network. Further analysis revealed that the synaptic interactions and biophysical features associated with fast spiking interneurons, in particular their rapid intrinsic response properties and short synaptic latency, enabled this state transition by enhancing gain within the excitatory population. Therefore, fast spiking interneurons may be uniquely positioned to control the strength of recurrent excitatory connectivity and the transition to an inhibition stabilised regime. Overall, our results suggest that interneuron subtypes can exert selective control over excitatory gain allowing for differential modulation of global network state.