Abstract
For over half a century, it has been postulated that the internal excitatory circuit in the hippocampus consists of three relay stations. Excitation arrives from the entorhinal cortex to the DG granule cells, is transmitted through the mossy fibers to CA3 pyramidal cells, and is then transmitted through Schaffer collaterals to CA1 pyramidal neurons. In all three structures (DG, CA3 and CA1), the activity of the excitatory neurons involved in the synaptic transmission of excitation are under the control of inhibitory basket neurons that are recruited into network activity via feed-forward and feed-back excitation. However, in the late 90s “stratum radiatum giant cells” were described as a novel type of neuron with the anatomical features of excitatory cells. Since then, the role of these cells in the hippocampal circuitry has not been well understood. Here, using optogenetic and electrophysiological techniques we characterized the functional location of these neurons within the hippocampal network. We show that: (i) the main excitatory drive to giant excitatory neurons in stratum radiatum (ExNR) comes via Schaffer collaterals; (ii) within the CA1 field, ExNR are not directly connected with local pyramidal cells, but provide massive and efficient excitatory input to parvalbumin positive (PV+) interneurons; (iii) ExNR are reciprocally innervated by bistratified cells, but not inhibited by backet interneurons; (iv) the efficiency of ExNR excitation to PV+ interneurons is sufficient for a single ExNR action potential to trigger massive inhibition of downstream CA1 pyramidal cells. Taken together, our data shows that ExNR constitute an alternative pathway of excitation for CA1 interneurons that avoids the burden of perisomatic inhibition.
Introduction
The hippocampus is one of the most studied structures in the CNS. The canonic trisynaptic hippocampal circuit appears in the famous drawings by Ramón y Cajal from the beginning of the 20th century. Later, Andersen and Lomo proposed the chain of excitation flow that we know today: entorhinal cortex → Dentate gyrus granular cells → Sratum pyramidale CA3 pyramidal cells → Sratum pyramidale CA1 pyramidal neurons 1. Since then, hippocampal excitatory synapses have become the favored playground for long-term plasticity researchers. A simple PubMed cross search for “LTP” and “Hippocampus” results in more than 7500 papers 2. Even earlier, when working in Eccles laboratory, Per Andersen published a keystone paper describing perisomatic inhibitory neurons in the hippocampus and proposed the principles of recurrent inhibition 3. Later, basket cells were discovered and characterized for all three cellular populations constituting the hippocampal excitatory circuit 4,5. Merging the trisynaptic excitatory pathway with the feed-forward and feed-back inhibition provided by basket cells gave rise to multiple models of hippocampal rhythmic activity 6–8. Today, the generally accepted model of the functional-anatomical organization of excitatory circuits in the hippocampus assumes the same three main players that were drawn by Cajal and described in the pioneering work of Andersen, that is, DG granular cells and pyramidal neurons in the CA3 and CA1 regions. At the moment, in the search for diversification of hippocampal excitatory neurons, researchers seek unique anatomical, biochemical and molecular features that would allow subdivision of these three neuronal types into functionally distinct subpopulations. Recently, CA2 has emerged as an important area in the hippocampal circuitry, with distinct functions from those of CA3 9–11. CA1 pyramidal neurons have been subdivided anatomically into “deep” and “superficial”, moreover, new findings show that the two subgroups are also functionally different 12,13. In the DG, as the site of adult neurogenesis, granule cells exhibit functional biochemical diversity depending on the stage of maturation 14–16. However, regardless of belonging to a particular subgroup, a common feature of neurons located in the pyramidal layer and DG is that they are under the inhibitory control of basket cells. In the basket cell population, fast spiking parvalbumin-positive basket cells were recognized as the main “dictators”, which completely determine rhythmogenesis 17,18 and also greatly diminish the efficiency of CA1 pyramidal cells as the main hippocampal output. A recent study by Hodapp et.al. suggested that neurons can escape the burden of perisomatic inhibition by relocating the axon initial segment from the heavily inhibited soma to one of the basal dendrites 19,20. While cells with a privileged dendrite possessing the axon can indeed bypass perisomatic inhibition, making one dendrite privileged makes the rest of dendritic tree obsolete. So, the question of who else can speak, when basket cells say: “Everyone be quite”, remains unanswered.
In 1996 Maccaferri & McBain described “giant cells” located in stratum radiatum that can express NMDAR-dependent LTP similarly to classical pyramidal cells 21. Two years later Gulyás and colleagues classified these neurons as excitatory cells based on a number of morphological features 22. Later it was shown that stratum radiatum excitatory neurons (ExNR) send their projections to the olfactory bulb 23,24. Thus, in addition to CA1 pyramidal neurons, the hippocampus has one more output neuronal population, and one more source of internal excitation, but in contrast to CA1 pyramidal cells, ExNR are located in stratum radiatum, 100-300 um away from the innervation area of basket interneurons. Although the first description of ExNR appeared more than 20 years ago, currently very little is known about the pre-and postsynaptic partners of these cells. Therefore, in this study, using an optogenetic approach and various electrophysiological techniques, we investigated the functional integration of ExNR in the hippocampal circuitry.
Results and Discussion
Optogenetic identification the origin of excitatory synaptic inputs to ExNR
It has been shown that electrical stimulation in stratum radiatum can trigger EPSPs in ExNR 21. However, this approach does not allow precise discrimination between Schaffer collateral inputs and entorhinal cortex projections. Especially, when taking into account that the apical dendrites of ExNR extend to stratum lacunosum moleculare 22 (Fig 1A), which receives direct input from the pyramidal cells of layer III of the entorhinal cortex (EC) through the temporoammonal tract25. To overcome this limitation, we expressed hChR2-EYFP in either in CA3 or EC using in vivo AAV viral transduction. Two weeks after viral injection, when expression of hChR2 had reached a sufficient level, rats were sacrificed for slice preparation. ExNR were recognized by the pyramidal-like appearance of the cell body, their location in stratum radiatum 100-300 μm away from the border of the superficial pyramidal cell layer and firing pattern (Fig 1A and B). In slices from rats with infected CA3 neurons, blue light pulses (1 ms), delivered to the area covering stratum radiatum and stratum lacunosum moleculare near the recoded cell, reliably triggered EPSCs in CA1 pyramidal neurons and ExNR (Fig 1C). The latency of the responses relative to the onset of the light stimulus were nearly the same being 3.32±0.8 ms in ExNR (n=8) and 3.26±0.5 ms in CA1 pyramidal cells (n=5). When hChR2 was expressed in EC neurons, EPSCs in ExNR could be triggered in only 42% of the slices (n=12). Moreover, the averaged latency of the response was significantly longer (9.38±0.67 ms; n=5; p<0.001; Fig 1D and E) than that obtained when hChR2 was expressed in CA3 region. The low probability of getting responses upon stimulation of EC inputs together with the long polysynaptic latency suggest the absence of direct EC input to ExNR. Thus, CA3 pyramidal cells appear to be the main source of excitation for these neurons, at least within the hippocampal formation (Fig 1F).
Internal connectivity of ExNR within CA1 circuitry
Next we explored the connectivity of ExNRwith CA1 pyramidal neurons and two types of parvalbumin positive interneurons (Fig 2A): basket cells (BC) and bistratified neurons (Bist). We did not find direct connections between CA1 pyramidal cells and ExNR in either direction (n=30). However, ExNR innervated both types of interneurons with a relatively high connectivity rate (ExNR to BC 36% and ExNR to Bist 52%). Both types of excitatory synapses formed by ExNR had very high initial release probability, rather large unitary EPSP amplitudes and showed prominent short-term depression (Fig 2A). For appropriate comparison we collected data on connectivity rate and synaptic efficacy characteristics for connections between CA1 pyramidal cells and the two types of interneurons under the same experimental conditions. Despite the fact that these pairs of pre-and postsynaptic neurons were located much closer to each other, both the chance of finding connected cells and the strength of connection were smaller when compared to those for ExNR to BC and Bist connections (Fig. 2A and Fig. S2). Moreover, in 10% of connected ExNR to Bist pairs and 7% of connected ExNR to BC pairs, the amplitudes of evoked EPSPs could each the threshold level and trigger action potentials (AP) in the receiving postsynaptic cells. At connections formed by presynaptic CA pyramidal cells, the amplitudes of unitary EPSPs were substantially smaller and, therefore, the synchronized input from several pyramids is necessary for generation of a postsynaptic AP.
While searching for excitatory inputs from ExNR and CA1 pyramidal cells to BC and Bist we also analyzed reciprocal GABAergic connections from these two types of interneurons (Fig. 2B). As expected, both BC and Bist innervate CA1 pyramidal cells with a connectivity rate of about 20-25%. The efficacy at perisomatic synapses was significantly higher than that at dendritic synapses formed by Bist (Fig 2B). However, the most intriguing question was whether ExNR can be inhibited by BC. We didn’t find any connection out of 42 tested BC to ExNR pairs, while connectivity from dendritic inhibitory Bist to ExNR was almost as frequent (22%) as connections to CA1 pyramidal cells (25%). IPSP amplitudes were significantly higher at Bist synapses onto ExNR as than those onto CA1 pyramidal neurons (Fig. 3B).
These data allow ExNR to be considered “privileged neurons” that escape perisomatic suppression by BC while providing massive excitatory drive to both BC and Bist, thus promoting inhibition of CA1 pyramidal cells (Fig. 2C).
ExNR can trigger feed-forward inhibition of CA1 pyramidal cell layer
As mentioned above, a single AP in a presynaptic ExNR can trigger APs in the postsynaptic BC and Bist (Fig 3B). Although, we have not found any evidence of direct synaptic input from ExNR to CA1Pyr, in 10% of the tested pairs stimulation of ExNR could trigger a disynaptically delayed IPSP (delay: 6.4±0.4 ms; amplitude: 0.08±0.24 mV; n=3; Fig 3C) in CA1Pyr. Application of 10 μM of CNQX, an AMPAR antagonist completely blocked IPSPs, suggesting that stimulation of ExNR could recruit interneurons projecting to CA1Pyr. Thus, ExNR can operate as an amplification relay station for feed-forward inhibition of neurons in the CA area.
To examine this notion, we tested the effect of single ExNR stimulation on the local field potential profile across the CA1 pyramidal layer recorded using a 16 channel multishank silicone probe (Fig 3D). In 24% of the slices unitary APs in ExNR generated an fIPSP, delayed relative to peak of the AP by 5.5 ms (n=6; Fig 3D-F). Moreover, often fIPSPs were preceded by a secondary spike with a delay characteristic for monosynaptic transmission (2.6 ms; n=7; Fig 3D-F).
Possible functions of ExNR within hippocampal network
Although, previous studies suggested that ExNR are excitatory neurons, this assumption was made based on morphological features and the absence of histological markers typical for interneurons 22,23. Here we directly show the glutamatergic nature of ExNR by recording from pairs of connected cells. It is generally accepted that AP generation in CNS requires either high frequency stimulation or unitary input integration summation of multiple inputs26. Low effectiveness at individual excitatory connections was suggested to be essential for temporal and spatial information coding and, therefore, for increased computational capacity of neuronal networks. We found that ExNR often do not follow this rule at their synapses converging on BC and Bist neurons. It has to be emphasized here, that all experiments were done on brain slices where truncation of axons during slicing affects both the chances of finding connections and synaptic efficacy. Obviously, the impact of negative artefacts of slicing increases as a function of distance between tested neurons. Thus, the efficiency of ExNR-driven excitation should be substantially higher in the intact hippocampal network. Another unique trait of ExNR is that in contrast to the other hippocampal excitatory cells, they are not controlled by stratum oriens BCs (Fig 4A). Thus, these two features suggest ExNR play an exclusive role within the hippocampal circuitry.
Reciprocal connections between excitatory cells located in stratum pyramidale and BC form a chain of micro-oscillators that can generate, maintain and transmit both normal and pathological rhythmic activities. One can assume that ExNR, being not phase-locked by BC-driven synchronization, can disturb the oscillatory activity by activating interneurons out of phase. This might be an important mechanism to prevent epileptiform activity. The second scenario of possible ExNR network function comes from the fact that both ExNR and a subpopulation of CA1Pyr project to the olfactory bulb. Thus, ExNR especially located in the ventral aspect of the hippocampus may emphasize their own input to the olfactory bulb by simultaneous inhibitions of CA1Pyr also projecting to this region (Fig 4B).
The exact function of ExNR remains to be found, but the existence of one more powerful source of excitation that can bypass perisomatic inhibition should be taken in account in hippocampal network models.
Methods
Preparation of rat brain slices
Horizontal brain slices (400 µm thick) containing the hippocampus and entorhinal cortex were obtained from male Wistar rats 6–8 weeks of age using a standard procedure27. All experimental protocols were approved by the State Government of Baden-Württemberg (Projects T100/15 and G188/15) or by the Local Ethical Committee of Kazan Federal University (#24/22.09.2020). Rats were killed under deep CO2-induced anesthesia. After decapitation, brains were rapidly removed and placed in cold (1–4°C) oxygenated artificial CSF (ACSF) containing the following (in mM): 124 NaCl, 3 KCl, 2 CaCl2, 1 MgCl2, 10 glucose, 1.25 NaH2PO4, and 26 NaHCO3, saturated with carbogen (95% O2 and 5% CO2), with pH 7.4 at 34°C. Horizontal brain slices containing the intermediate/ventral portion of the hippocampus and connected areas of the entorhinal cortex were cut using a vibratome slicer (VT1200S, Leica). In optogenetic experiments for better preservation of connectivity between the entorhinal cortex and hippocampus, slices were cut with at an angle of ∼15° toward the ventral side. Before electrophysiological recordings, slices were allowed to recover for at least 1 h. Slices were kept in a submerged incubation chamber at room temperature.
Injection of virus and optogenetic stimulation
All experiments requiring injections of AAV were conducted in a biosafety level 1 laboratory. The AAV5-CaMKIIa-hChR2(H134R)-EYFP was injected bilaterally into CA3 and the entorhinal cortex at 1 μl/site. During operations, rats were deeply anesthetized with isoflurane (4%) and mounted in a stereotaxic frame. Anesthesia was maintained by mask inhalation of vaporized isoflurane at concentrations between 1.5% and 2.5%. Following head fixation, the skull was exposed and a small burr hole was drilled above the injection site. The AAV was infused using amicroinfusion pump (Stoelting Co., USA) at a rate of 0.2 µl/min. The bilateral injections were performed stereotaxically into the CA3 area (5.2 mm posterior, 4.4 mm lateral to bregma, 7.0 mm dorsoventral) and into the entorhinal cortex (10.0 mm posterior, 4.6 mm lateral to bregma, 8 mm dorsoventral, the needle was inserted at the angle of 16-20°) (Paxinos and Watson, 1998) using a 10 μl Hamilton syringe (Hamilton, USA). The first point of injection into EC was at 8.0 mm dorsoventral (0.5 ml), then the needle was retracted to 5.0 mm and an additional 0.5 ml of virus was injected. The needle was left in place for another 10 min before it was withdrawn. When all injections were completed, the wound was sutured and the animal was monitored during recovery from anesthesia, after which it was returned to its home cage. Animals were allowed to recover for a minimum of 2 weeks after injections, before being sacrificed.
The axonal fibers expressing ChR2 were excited through a 40×/0.8 numerical aperture (NA) objective using a transistor–transistor logic-controlled blue LED (470 nm; pulses, 1ms; catalog #M470L3, ThorLabs). Neurons were recorded in VC mode and held at −70 mV using a K gluconate-based pipette solution containing 144 K-gluconate, 4 KCl, 10 HEPES, 4 Mg-ATP, 0.3 Na-GTP, and 10 Na2-phosphocreatine, adjusted to pH 7.3 with KOH. GABAergic synaptic transmission was blocked by the continuous presence of the GABAA receptor antagonist SR95531 (10 μM).
Synaptic connectivity of ExNR
ExNR and CA1Pyr were identified by firing pattern and location in the slice, in stratum radiatum and stratum pyramidale respectively. BC and Bist interneurons were distinguished by firing pattern (Fig S1) and input resistance (IR). BC had significantly lower IR (Median: 103 MOhm; n=30) and required at least 150-200 pA of current injection for spike generation. IR in Bist interneurons was 191 MOhm (n=30; p<0.001) and 50 pA of current injection could trigger AP firing. To substantiate our discrimination criteria 5 neurons of each group were filed with biocytin, and the identity of interneurons was confirmed by axonal arborization pattern. Dual whole-cell recordings were performed at room temperature. Slices were continuously superfused with an extracellular solution containing the following (in mM): 125 NaCl, 2.5 KCl, 25 glucose, 25 NaHCO3, 1.25 NaH2PO4, 2 CaCl2, and 1 MgCl2, bubbled with 95% O2/5% CO2. To study synaptic connections, presynaptic cells were stimulated with a 10 Hz train of three suprathreshold current pulses, which were repeated every 7 s. All paired recordings used for connectivity analysis were conducted in CC mode. During recordings, cells were held at resting membrane potential. Averages of 50–100 consecutive sweeps were used for the analysis of postsynaptic responses.
Combined LFP and whole cell recording
Experiments with multichannel LFP recordings combined with single ExNR subthreshold stimulation were done at 33°C. A 16 channel multishank silicone probe was positioned in the CA1 pyramidal cell layer along stratum pyramidale.
Signals were recorded using an Open Ephys Acquisition Board (Cambridge, Massachusetts) at a sampling rate of 30 kHz. For stimulation we chose ExNR that were located in front of the center of the multishank probe, usually between the 8th and 11th electrodes, and at least 100 μm away from the pyramidal cell layer. The cells were repeatedly stimulated by depolarizing pulses, sufficient to trigger a single AP. Interpulse interval was 7 seconds. Total number of stimuli in every experiment was 50-100.
To avoid erroneous detections, the ExNR action potential waveforms were detected as local peaks of the second derivative of Vm, then the maximum value of Vm was determined in the 8 ms window after each Vm’’ peak. The corresponding AP peak time was used to construct an averaged LFP and current source density profile in the [-10 to 20] ms window. Four parameters were calculated from the averaged LFPs: AP1 to AP2 peak to peak delay time, AP2 amplitude (second negative peak), fIPSP amplitude (maximum positive peak), AP1 to fIPSP peak to peak dealay time, where AP1 is the first negative peak on LFP that coincides in shape with the first derivative of the ExNR AP (Vm’).
Statistical analysis
Data in figures are presented as medians (P25; P75) and individual values, unless otherwise stated. Whiskers show minimum and maximum values. Statistical analysis was performed using SigmaPlot (Systat), GraphPad (InStat, GraphPad Software) or Matlab Statistics Toolbox. Mann–Whitney U test, Wilcoxon Rank Sum test or Fisher’s exact test were used for statistical comparisons A p value <0.05 was regarded as significant (for all data: *p < 0.05, ***p < 0.001, ns, not significant).
Acknowledgements
We thank Dr. Andreas Draguhn and Dr. Oliver Kann for infrastructural support of this project and Irina Kopylova for the invaluable help with image processing. This work was supported by “Center of Photonics” funded by the Ministry of Science and Higher Education of the Russian Federation (contract no. 075-15-2022-293) to DJ, RS and AR
Supplementary figures
References
- 1Mode of activation of hippocampal pyramidal cells by excitatory synapses on dendritesExp Brain Res 2:247–260
- 2A Brief History of Long-Term PotentiationNeuron 93:281–290https://doi.org/10.1016/j.neuron.2016.12.015
- 3Recurrent inhibition in the hippocampus with identification of the inhibitory cell and its synapsesNature 198:540–542https://doi.org/10.1038/198540a0
- 4Interneurons of the hippocampusHippocampus 6:347–470https://doi.org/10.1002/(sici)1098-1063(1996)6:4<347::Aid-hipo1>3.0.Co;2-i
- 5Katona, I. Perisomatic inhibitionNeuron 56 :33–42https://doi.org/10.1016/j.neuron.2007.09.012
- 6Mechanisms of gamma oscillationsAnnu Rev Neurosci 35:203–225https://doi.org/10.1146/annurev-neuro-062111-150444
- 7Generation of physiological and pathological high frequency oscillations: the role of perisomatic inhibition in sharp-wave ripple and interictal spike generationCurr Opin Neurobiol 31:26–32https://doi.org/10.1016/j.conb.2014.07.020
- 8Network mechanisms of gamma oscillations in the CA3 region of the hippocampusNeural Netw 22:1113–1119https://doi.org/10.1016/j.neunet.2009.07.024
- 9Memory circuits: CA2Curr Opin Neurobiol 52:54–59https://doi.org/10.1016/j.conb.2018.04.015
- 10Projections of hippocampal CA2 pyramidal neurons: Distinct innervation patterns of CA2 compared to CA3 in rodentsHippocampus 33:691–699https://doi.org/10.1002/hipo.23519
- 11CA2 orchestrates hippocampal network dynamicsHippocampus 33:241–251https://doi.org/10.1002/hipo.23495
- 12CA1 pyramidal cell diversity enabling parallel information processing in the hippocampusNat Neurosci 21:484–493https://doi.org/10.1038/s41593-018-0118-0
- 13CA1 pyramidal cells have diverse biophysical properties, affected by development, experience, and agingPeerJ 5https://doi.org/10.7717/peerj.3836
- 14Adult neurogenesis in the mammalian hippocampus: why the dentate gyrus?Learn Mem 20:710–729https://doi.org/10.1101/lm.026542.112
- 15Regulation of adult-born and mature neurons in stress response and antidepressant action in the dentate gyrus of the hippocampusNeurosci Res https://doi.org/10.1016/j.neures.2022.08.010
- 16Dynamic role of adult-born dentate granule cells in memory processingCurr Opin Neurobiol 35:21–26https://doi.org/10.1016/j.conb.2015.06.002
- 17Neuronal diversity and temporal dynamics: the unity of hippocampal circuit operationsScience 321:53–57https://doi.org/10.1126/science.1149381
- 18Role of GABAergic inhibition in hippocampal network oscillationsTrends Neurosci 30:343–349https://doi.org/10.1016/j.tins.2007.05.003
- 19Dendritic axon origin enables information gating by perisomatic inhibition in pyramidal neuronsScience 377:1448–1452https://doi.org/10.1126/science.abj1861
- 20Function follows form: how the structure of neurons determines cortical network activity : Comment on: Hodapp A, Kaiser ME, Thome C, Ding L, Rozov A, Klumpp M, Stevens N, Stingl M, Sackmann T, Lehmann N, Draguhn A, Burgalossi A, Engelhardt M, Both M (2022)Dendritic axon origin enables information gating by perisomatic inhibition in pyramidal neurons. Science 377:1448-1452. Pflugers Arch 475, 285-287 https://doi.org/10.1007/s00424-022-02776-7
- 21Long-term potentiation in distinct subtypes of hippocampal nonpyramidal neuronsJ Neurosci 16:5334–5343https://doi.org/10.1523/jneurosci.16-17-05334.1996
- 22Stratum radiatum giant cells: a type of principal cell in the rat hippocampusEur J Neurosci 10:3813–3822https://doi.org/10.1046/j.1460-9568.1998.00402.x
- 23Reversed somatodendritic I(h) gradient in a class of rat hippocampal neurons with pyramidal morphologyJ Physiol 579:431–443https://doi.org/10.1113/jphysiol.2006.123836
- 24A circuit within a circuit?J Physiol 579https://doi.org/10.1113/jphysiol.2007.127696
- 25Projection of the lateral part of the entorhinal area to the hippocampus and fascia dentataJ Comp Neurol 146:219–232https://doi.org/10.1002/cne.901460206
- 26Dendritic integration of excitatory synaptic inputNat Rev Neurosci 1:181–190https://doi.org/10.1038/35044552
- 27Downstream effects of hippocampal sharp wave ripple oscillations on medial entorhinal cortex layer V neurons in vitroHippocampus 26:1493–1508https://doi.org/10.1002/hipo.22623
Article and author information
Author information
Version history
- Sent for peer review:
- Preprint posted:
- Reviewed Preprint version 1:
Copyright
© 2024, Lebedeva et al.
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.