A novel theoretical framework for simultaneous measurement of excitatory and inhibitory conductances

The firing of neurons throughout the brain is determined by the precise relations between excitatory and inhibitory inputs, and disruption of their balance underlies many psychiatric diseases. Whether or not these inputs covary over time or between repeated stimuli remains unclear due to the lack of experimental methods for measuring both inputs simultaneously. We developed a new analytical framework for instantaneous and simultaneous measurements of both the excitatory and inhibitory neuronal inputs during a single trial under current clamp recording. This can be achieved by injecting a current composed of two high frequency sinusoidal components followed by analytical extraction of the conductances. We demonstrate the ability of this method to measure both inputs in a single trial under realistic recording constraints and from morphologically realistic CA1 pyramidal model cells. Future experimental implementation of our new method will facilitate the understanding of fundamental questions about the health and disease of the nervous system.     

Disinhibition Mediates a Form of Hippocampal Long-Term Potentiation in Area CA1

The hippocampus plays a central role in memory formation in the mammalian brain. Its ability to encode information is thought to depend on the plasticity of synaptic connections between neurons. In the pyramidal neurons constituting the primary hippocampal output to the cortex, located in area CA1, firing of presynaptic CA3 pyramidal neurons produces monosynaptic excitatory postsynaptic potentials (EPSPs) followed rapidly by feedforward (disynaptic) inhibitory postsynaptic potentials (IPSPs). Long-term potentiation (LTP) of the monosynaptic glutamatergic inputs has become the leading model of synaptic plasticity, in part due to its dependence on NMDA receptors (NMDARs), required for spatial and temporal learning in intact animals. Using whole-cell recording in hippocampal slices from adult rats, we find that the efficacy of synaptic transmission from CA3 to CA1 can be enhanced without the induction of classic LTP at the glutamatergic inputs. Taking care not to directly stimulate inhibitory fibers, we show that the induction of GABAergic plasticity at feedforward inhibitory inputs results in the reduced shunting of excitatory currents, producing a long-term increase in the amplitude of Schaffer collateral-mediated postsynaptic potentials. Like classic LTP, disinhibition-mediated LTP requires NMDAR activation, suggesting a role in types of learning and memory attributed primarily to the former and raising the possibility of a previously unrecognized target for therapeutic intervention in disorders linked to memory deficits, as well as a potentially overlooked site of LTP expression in other areas of the brain.     

TrkB受体依赖的PV神经元调控小鼠视觉方位辨别能力的机制

神经营养因子-酪氨酸受体激酶B （tyrosine receptor kinase B,TrkB）信号通路在调控初级视皮层（primary visual cortex,V1）兴奋与抑制平衡上发挥着重要的作用,以往的研究揭示了其通过增加兴奋性传递效率来调控皮层兴奋性水平的机制,却并未阐明TrkB受体如何通过抑制系统来调控兴奋与抑制平衡,进而影响视觉皮层功能。为了探讨TrkB信号通路如何特异性地调控最主要的抑制性神经元——PV神经元进而对小鼠视觉皮层功能产生影响,本研究通过病毒特异性地降低V1区的PV神经元上TrkB受体的表达水平,并通过在体多通道电生理手段记录初级视皮层抑制性与兴奋性神经元功能变化,通过行为学实验测试小鼠的方位辨别能力改变。结果表明,初级视觉皮层中的PV抑制性神经元上的TrkB受体表达减少会显著增加兴奋性神经元的反应强度,减弱抑制性神经元与兴奋性神经元的方位辨别能力,增加二者的信噪比,但是小鼠个体水平的方位辨别能力出现下降。这些结果说明,TrkB信号通路并非单纯通过增加靶向PV神经元的兴奋性传递来调控PV神经元的功能,其对神经元信噪比的影响也并非由于抑制系统的增强所致。     

Analysis of stability of neural network with inhibitory neurons

Phase coding in a neural network composed of neural oscillators with inhibitory neurons was studied based on the theory of stochastic phase dynamics. We found that with increasing the coupling coefficients of inhibitory neural oscillators, the firing density in excitatory population transits to a critical state. In this case, when we increase the inhibitory coupling, the firing density will come into dynamic balance again and tend to a fixed value gradually. According to the phenomenon, in the paper we found parameter regions to exhibit those different population states, called dividing zones including flat fading zone, rapid fading zone and critical zone. Based on the dividing zones we can choose the number ratio between inhibitory neurons and excitatory neurons in the neural network, and estimate the coupling action of inhibitory population and excitatory population. Our research also shows that the balance value, enabling the firing density to reach the dynamic balance, does not depend on initial conditions. In addition, the critical value in critical state is only related to the number ratio between inhibitory neurons and excitatory neurons, but is independent of inhibitory coupling and excitatory coupling.     

Characterization of neuronal intrinsic properties and synaptic transmission in layer I of anterior cingulate cortex from adult mice

ABSTRACT: The neurons in neocortex layer I (LI) provide inhibition to the cortical networks. Despite increasing use of mice for the study of brain functions, few studies are reported about mouse LI neurons. In the present study, we characterized intrinsic properties of LI neurons of the anterior cingulate cortex (ACC), a key cortical area for sensory and cognitive functions, by using whole-cell patch clamp recording approach. Seventy one neurons in LI and 12 pyramidal neurons in LII/III were recorded. Although all the LI neurons expressed continuous adapting firing characteristics, the unsupervised clustering results revealed five groups in the ACC, including: Spontaneous firing neurons; Delay-sAHP neurons, Delay-fAHP neurons, and two groups of neurons with ADP , ADP1 and ADP2. Using pharmacological approaches, we found that LI neurons receive both excitatory (mediated by AMPA, kainate and NMDA receptors), and inhibitory inputs (which were mediated by GABAA receptors). Our studies provide the first report characterizing the electrophysiological properties of neurons in LI of the ACC from adult mice.     

Attentional modulation of firing rate and synchrony in a model cortical network

The response of a neuron in the visual cortex to stimuli of different contrast placed in its receptive field is commonly characterized using the contrast response curve. When attention is directed into the receptive field of a V4 neuron, its contrast response curve is shifted to lower contrast values (Reynolds et al., 2000). The neuron will thus be able to respond to weaker stimuli than it responded to without attention. Attention also increases the coherence between neurons responding to the same stimulus (Fries et al., 2001). We studied how the firing rate and synchrony of a densely interconnected cortical network varied with contrast and how they were modulated by attention. The changes in contrast and attention were modeled as changes in driving current to the network neurons. We found that an increased driving current to the excitatory neurons increased the overall firing rate of the network, whereas variation of the driving current to inhibitory neurons modulated the synchrony of the network. We explain the synchrony modulation in terms of a locking phenomenon during which the ratio of excitatory to inhibitory firing rates is approximately constant for a range of driving current values. We explored the hypothesis that contrast is represented primarily as a drive to the excitatory neurons, whereas attention corresponds to a reduction in driving current to the inhibitory neurons. Using this hypothesis, the model reproduces the following experimental observations: (1) the firing rate of the excitatory neurons increases with contrast; (2) for high contrast stimuli, the firing rate saturates and the network synchronizes; (3) attention shifts the contrast response curve to lower contrast values; (4) attention leads to stronger synchronization that starts at a lower value of the contrast compared with the attend-away condition. In addition, it predicts that attention increases the delay between the inhibitory and excitatory synchronous volleys produced by the network, allowing the stimulus to recruit more downstream neurons. Action Editor: David Golomb     

二甲双胍调节初级视觉皮层兴奋性和抑制性平衡及改善视觉功能的研究

大脑皮层中兴奋和抑制系统之间的动态平衡决定了皮层神经元对刺激的反应特性.已有研究表明,二甲双胍能够诱导 γ-氨基丁酸受体向突触后膜聚集,增强神经系统的抑制效果.本课题进一步探讨了二甲双胍对初级视觉皮层兴奋和抑制系统平衡的调节作用,以及其改善小鼠视觉功能的潜力.实验使用成年雄性小鼠,实验组(metformin)10只每天...     

Synchronization and sensitivity enhancement of the Hodgkin-Huxley neurons due to inhibitory inputs

Recent experimental results imply that inhibitory postsynaptic potentials can play a functional role in realizing synchronization of neuronal firing in the brain. In order to examine the relation between inhibition and synchronous firing of neurons theoretically, we analyze possible effects of synchronization and sensitivity enhancement caused by inhibitory inputs to neurons with a biologically realistic model of the Hodgkin-Huxley equations. The result shows that, after an inhibitory spike, the firing probability of a single postsynaptic neuron exposed to random excitatory background activity oscillates with time. The oscillation of the firing probability can be related to synchronous firing of neurons receiving an inhibitory spike simultaneously. Further, we show that when an inhibitory spike input precedes an excitatory spike input, the presence of such preceding inhibition raises the firing probability peak of the neuron after the excitatory input. The result indicates that an inhibitory spike input can enhance the sensitivity of the postsynaptic neuron to the following excitatory spike input. Two neural network models based on these effects on postsynaptic neurons caused by inhibitory inputs are proposed to demonstrate possible mechanisms of detecting particular spatiotemporal spike patterns. Received: 15 April 1999 /Accepted in revised form: 25 November 1999     

Afferent modulation of dopamine neuron firing patterns

In recent studies examining the modulation of dopamine (DA) cell firing patterns, particular emphasis has been placed on excitatory afferents from the prefrontal cortex and the subthalamic nucleus. A number of inconsistencies in recently published reports, however, do not support the contention that tonic activation of NMDA receptors is the sole determinate of DA neuronal firing patterns. The results of work on the basic mechanism of DA firing and the action of apamin suggest that excitatory projections to DA neurons from cholinergic and glutamatergic neurons in the tegmental pedunculopontine nucleus, and/or inhibitory GABAergic projections, are also involved in modulating DA neuron firing behavior.     

幼年大鼠视皮层神经元对闪光刺激的反应特性

哺乳动物视觉系统的发育延续到出生后,大鼠出生后 3~5 周是视觉系统发育的关键期 . 在关键期中,视皮层的兴奋性和抑制性突触连接逐渐成熟,形成有效的皮层内回路 . 为了观察发育关键期大鼠视皮层神经元的反应特性与成年大鼠的异同,使用胞外单细胞记录的方法对比研究了幼年和成年大鼠对闪光刺激的视觉反应特性 . 结果显示：与成年大鼠相比较,幼年大鼠视皮层神经元对持续闪光刺激显示出更强的适应性,对光刺激的诱发放电频率更低,而在没有光刺激时的自发放电频率更高,从而导致信噪比更低 . 这一结果表明,幼年大鼠视皮层对连续刺激的反应能力下降,对信号的分辨能力也更弱,其原因可能是兴奋性突触和抑制性突触发育的不同步所致 .     

The actions of motilin, luteinizing hormone releasing hormone, cholecystokinin, somatostatin, vasoactive intestinal peptide, and other peptides on rat cerebral cortical neurons

The effects of a number of neuronally localized peptides have been ascertained on corticospinal and other unidentified neurons in the rat cerebral cortex. Motilin, somatostatin, and luteinizing hormone releasing hormone excited most of the corticospinal neurons on which they were tested. Cholecystokinin. Met-enkephalin, vasoactive intestinal peptide, and neurotensin also excited some corticospinal neurons. Many nonidentified neurons were excited by all of these peptides. Met-enkephalin had a depressant action on some (14%) corticospinal neurons. Leu-enkaphalin depressed many identified and nonidentified neurons and had an excitatory action on a few neurons. Both excitatory and inhibitory actions of the enkephalins were antagonized by naloxone. Thyrotropin-releasing hormone had predominantly depressant actions on the spontaneous firing of corticospinal and nonidentified neurons but did excite some unidentified cortical neurons. Secretin had no effect on the firing of most of the neurons tested.     

Intracellular electrophysiology of mammalian peptidergic neurons in rat hypothalamic slices

The magnocellular neuropeptidergic cells (MNCs) of the paraventricular and supraoptic nuclei have been a model for biochemical and physiological studies of peptidergic neurons in the mammalian brain, but nearly all the electrophysiological studies of these vasopressinergic and oxytocinergic neuroendocrine cells are based on extracellular recordings. This paper reviews recent literature on electrophysiological properties of neurons in the magnocellular nuclei in which the rat in vitro slice preparation and intracellular recording were used. Spontaneously occurring action potentials and synaptic potentials (excitatory and inhibitory) have been observed in hypothalamic slices. The spike patterns have included slow and irregular firing, short rapid bursts of inactivating spikes, and slow phasic discharge with prolonged active and silent periods. Some studies have shown that increased osmolality causes neuronal firing, but this area is controversial. Intracellular injections of lucifer yellow have shown that some MNCs are dye-coupled and electron microscopic observations with the freeze-fracture technique have revealed occasional gap junctions, thus suggesting that some MNCs are electrotonically coupled. Both excitatory and inhibitory postsynaptic potentials have been evoked with extracellular stimulation. Therefore, action potentials, synaptic potentials, burst discharges, and probably electrotonic coupling have been found with intracellular recording in mammalian neuroendocrine cells. Future studies with intracellular recording and staining followed by immunohistochemical identification of cells should provide significant new information on the membrane physiology and synaptic pharmacology of vasopressinergic and oxytocinergic cells.     

Two-neuron networks

The behavior of two pacemaker neurons simulated by leaky integrators and connected reciprocally by synapses was studied. In every case the firing of both neurons phase-locks. The resulting limit cycle may or may not show simultaneous firing of both neurons. When both synapses are excitatory, phase-locking with simultaneous neuronal firing is always present. When one synapse is excitatory and the other inhibitory, phase-locking is also present always, while the neurons may or may not fire simultaneously. For a restricted set of parameters, bistability appears; the initial conditions determine whether or not the limit cycle presents simultaneous firing. When both synapses are inhibitory, the system phase-locks without simultaneous firing for almost every set of parameters.     

Serotonin receptor expression in human prefrontal cortex: balancing excitation and inhibition across postnatal development

Serotonin and its receptors (HTRs) play critical roles in brain development and in the regulation of cognition, mood, and anxiety. HTRs are highly expressed in human prefrontal cortex and exert control over prefrontal excitability. The serotonin system is a key treatment target for several psychiatric disorders; however, the effectiveness of these drugs varies according to age. Despite strong evidence for developmental changes in prefrontal Htrs of rodents, the developmental regulation of HTR expression in human prefrontal cortex has not been examined. Using postmortem human prefrontal brain tissue from across postnatal life, we investigated the expression of key serotonin receptors with distinct inhibitory (HTR1A, HTR5A) and excitatory (HTR2A, HTR2C, HTR4, HTR6) effects on cortical neurons, including two receptors which appear to be expressed to a greater degree in inhibitory interneurons of cerebral cortex (HTR2C, HTR6). We found distinct developmental patterns of expression for each of these six HTRs, with profound changes in expression occurring early in postnatal development and also into adulthood. However, a collective look at these HTRs in terms of their likely neurophysiological effects and major cellular localization leads to a model that suggests developmental changes in expression of these individual HTRs may not perturb an overall balance between inhibitory and excitatory effects. Examining and understanding the healthy balance is critical to appreciate how abnormal expression of an individual HTR may create a window of vulnerability for the emergence of psychiatric illness.     

Local spiking interneurons controlling the equilibrium response in the crayfish Procambarus clarkii

1. In the crayfish brain, the responses of local spiking interneurons to body roll simulated by bending of statocyst hairs, were investigated with intracellular recording and staining techniques. The neurons had two separate branching portions in the protocerebrum and the deutocerebrum. They were named as type-I local neurons and further classified into 5 types (ac-U, vplc-U, vplc-B, vupc-U, vupc-B). 2. Vupc-U neurons showed excitatory responses and vplc-U neurons showed inhibitory responses to inward hair deflection of the statocyst ipsilateral to their deutocerebral branches. The other 3 types were of mixed populations of the interneurons showing either excitatory or inhibitory responses to the stimulation. 3. Of 10 type-I local neurons showing excitatory responses to inward hair deflection, 6 interneurons had output effects on oculomotor and/or descending neurons. All these 6 interneurons showed large EPSPs and much higher frequency of spikes to the hair stimulation than those of the other 4. All 8 type-I local neurons that showed inhibitory responses had no output effects. 4. Type-I local neurons controlled two equilibrium responses, compensatory eye movement and righting reflex, either simultaneously or independently.     

Electrophysiological and morpho-histochemical study of action of adrenalectomy on hippocampal neurons

Chronic insufficiency of adrenal hormones is a pathology leading to brain dysfunction. By electrophysiological approach there were studied mechanisms of adaptation of neural networks to chronic hormonal deprivation by extracellular recording of the single spike activity of hippocampal neurons (HN), which was caused by high-frequency stimulation of the entorhinal cortex (EC) in rats with unilateral removal of adrenal (adrenalectomy—AE). The balance of excitatory and inhibitory responses recorded in intact rat HN underwent characteristic changes in dynamics of development of neurodegeneration: the inhibitory responses dominating in norm were decreased in all AE terms (from 42% to 25% by 18 weeks). On the contrary, the minimal percentage of excitatory responses in norm was sharply increased at 25–27 days after AE (from 17% to 60%), by indicating a possible increase in cholinergic neurotransmission. The high level of the mean frequency of peristimulus spiking was recorded from the 25–27th day to the 18th week after AE, which indicates the presence of the high level of glutamate or the expressed activation of NMDA receptors. On the whole, the ratio of the excitatory/inhibitory HN responses suggests discrepancy of neural activity in EC HN chains under the AE conditions. Histochemical analysis has shown an increased sensitivity to AE in the CA1 area neurons. After disruption of neuronal structure by the 5th day of AE, 25–27 days after AE, proliferation of cellular elements was observed in the CA1 area, due which the complete filling of the “devastated” areas of hippocampus and a sharp enhancement of phosphatase activity occurred by 8-10 weeks in neuronal nuclei of the dentate gyrus. By 18 weeks after AE, most neurons in the CA1 area were subjected to chromatolysis with a fall of phosphatase activity. The presented make certain contribution to understanding of mechanisms of control of cognitive function and brain plasticity with interconnection with hormonal factors.     

Modulation of the dynamics of cerebellar Purkinje cells through the interaction of excitatory and inhibitory feedforward pathways

The dynamics of cerebellar neuronal networks is controlled by the underlying building blocks of neurons and synapses between them. For which, the computation of Purkinje cells (PCs), the only output cells of the cerebellar cortex, is implemented through various types of neural pathways interactively routing excitation and inhibition converged to PCs. Such tuning of excitation and inhibition, coming from the gating of specific pathways as well as short-term plasticity (STP) of the synapses, plays a dominant role in controlling the PC dynamics in terms of firing rate and spike timing. PCs receive cascade feedforward inputs from two major neural pathways: the first one is the feedforward excitatory pathway from granule cells (GCs) to PCs; the second one is the feedforward inhibition pathway from GCs, via molecular layer interneurons (MLIs), to PCs. The GC-PC pathway, together with short-term dynamics of excitatory synapses, has been a focus over past decades, whereas recent experimental evidence shows that MLIs also greatly contribute to controlling PC activity. Therefore, it is expected that the diversity of excitation gated by STP of GC-PC synapses, modulated by strong inhibition from MLI-PC synapses, can promote the computation performed by PCs. However, it remains unclear how these two neural pathways are interacted to modulate PC dynamics. Here using a computational model of PC network installed with these two neural pathways, we addressed this question to investigate the change of PC firing dynamics at the level of single cell and network. We show that the nonlinear characteristics of excitatory STP dynamics can significantly modulate PC spiking dynamics mediated by inhibition. The changes in PC firing rate, firing phase, and temporal spike pattern, are strongly modulated by these two factors in different ways. MLIs mainly contribute to variable delays in the postsynaptic action potentials of PCs while modulated by excitation STP. Notably, the diversity of synchronization and pause response in the PC network is governed not only by the balance of excitation and inhibition, but also by the synaptic STP, depending on input burst patterns. Especially, the pause response shown in the PC network can only emerge with the interaction of both pathways. Together with other recent findings, our results show that the interaction of feedforward pathways of excitation and inhibition, incorporated with synaptic short-term dynamics, can dramatically regulate the PC activities that consequently change the network dynamics of the cerebellar circuit.     

Gain modulation from background synaptic input

Gain modulation is a prominent feature of neuronal activity recorded in behaving animals, but the mechanism by which it occurs is unknown. By introducing a barrage of excitatory and inhibitory synaptic conductances that mimics conditions encountered in vivo into pyramidal neurons in slices of rat somatosensory cortex, we show that the gain of a neuronal response to excitatory drive can be modulated by varying the level of "background" synaptic input. Simultaneously increasing both excitatory and inhibitory background firing rates in a balanced manner results in a divisive gain modulation of the neuronal response without appreciable signal-independent increases in firing rate or spike-train variability. These results suggest that, within active cortical circuits, the overall level of synaptic input to a neuron acts as a gain control signal that modulates responsiveness to excitatory drive.     

Brainstem control of activity and responsiveness in resting frog tadpoles: tonic inhibition

The hatchling Xenopus laevis tadpole was used to study the brain neurons controlling responsiveness. Tadpoles have reduced motor activity and responsiveness when they hang at rest, attached by cement gland mucus. Afferent input from cement gland mechanosensory neurons has both a phasic role in stopping swimming and a tonic role in reducing responsiveness while tadpoles hang attached. Both these roles depend on GABA_A-mediated inhibition. We provide evidence supporting the hypothesis that long-term reduced responsiveness in attached tadpoles results from tonic activity in the reticulospinal GABAergic pathway mediating the stopping response. Two groups of putative stopping pathway interneurons were recorded in the caudal and rostral hindbrain of immobilised tadpoles. Both groups showed a sustained increase in activity during simulated attachment. This attached activity was irregular and unstructured. We consider whether low-level firing in cement gland afferents (at ~1 Hz) during simulated attachment is sufficient to explain the low-level firing (at ~0.5 Hz) in reticulospinal neurons. We then ask if a small population of these neurons (~20) could produce sufficient inhibition of spinal neurons to reduce the whole tadpoles responsiveness. We conclude that for most of their 1st day of life GABAergic brainstem neurons could produce inhibition continuously while the tadpole is at rest.Abbreviations CV coefficient of variation - EPSP excitatory postsynaptic potential - IPSP inhibitory postsynaptic potential - ISI interspike interval     

Constrained brain volume in an efficient coding model explains the fraction of excitatory and inhibitory neurons in sensory cortices

The number of neurons in mammalian cortex varies by multiple orders of magnitude across different species. In contrast, the ratio of excitatory to inhibitory neurons (E:I ratio) varies in a much smaller range, from 3:1 to 9:1 and remains roughly constant for different sensory areas within a species. Despite this structure being important for understanding the function of neural circuits, the reason for this consistency is not yet understood. While recent models of vision based on the efficient coding hypothesis show that increasing the number of both excitatory and inhibitory cells improves stimulus representation, the two cannot increase simultaneously due to constraints on brain volume. In this work, we implement an efficient coding model of vision under a constraint on the volume (using number of neurons as a surrogate) while varying the E:I ratio. We show that the performance of the model is optimal at biologically observed E:I ratios under several metrics. We argue that this happens due to trade-offs between the computational accuracy and the representation capacity for natural stimuli. Further, we make experimentally testable predictions that 1) the optimal E:I ratio should be higher for species with a higher sparsity in the neural activity and 2) the character of inhibitory synaptic distributions and firing rates should change depending on E:I ratio. Our findings, which are supported by our new preliminary analyses of publicly available data, provide the first quantitative and testable hypothesis based on optimal coding models for the distribution of excitatory and inhibitory neural types in the mammalian sensory cortices.