Abstract
Spontaneous periodic network events are a characteristic feature of developing neuronal networks, and they are thought to play a crucial role in the maturation of neuronal circuits. In the immature hippocampus, these types of events are seen in intracellular recordings as giant depolarizing potentials (GDPs) during the stage of neuronal development when GABAA-mediated transmission is depolarizing. However, the precise mechanism how GABAergic transmission promotes GDP occurrence is not known. Using whole-cell, cell-attached, perforated-patch, and field-potential recordings in hippocampal slices, we demonstrate here that CA3 pyramidal neurons in the newborn rat generate intrinsic bursts when depolarized. Furthermore, the characteristic rhythmicity of GDP generation is not based on a temporally patterned output of the GABAergic interneuronal network. However, GABAergic depolarization plays a key role in promoting voltage-dependent, intrinsic pyramidal bursting activity. The present data indicate that glutamatergic CA3 neurons have an instructive, pacemaker role in the generation of GDPs, whereas both synaptic and tonic depolarizing GABAergic mechanisms exert a temporally nonpatterned, facilitatory action in the generation of these network events.
Introduction
Periodic spontaneous network events are generated by immature neuronal networks as shown in extensive studies on the hippocampus, cortex, retina, and spinal cord (Ben Ari et al., 1989; Garaschuk et al., 1998, 2000; Feller, 1999; O'Donovan, 1999; Ben Ari, 2001; Leinekugel et al., 2002). They are generally considered to be involved in the functional and structural development of neuronal circuits (Feller, 1999; Penn and Shatz, 1999; Katz and Crowley, 2002; Kandler, 2004; Kasyanov et al., 2004; Spitzer et al., 2004). Based on intracellular recordings in pyramidal neurons in vitro, the spontaneous events in the early postnatal rat hippocampus were originally termed giant depolarizing potentials (GDPs) (Ben Ari et al., 1989). These events are readily detected in extracellular field-potential (fp) recordings (Lamsa et al., 2000; Khazipov et al., 2004) and invade all hippocampal subfields, recruiting both GABAergic interneurons and glutamatergic principal neurons (Khazipov et al., 1997, 2001; Garaschuk et al., 1998; Hollrigel et al., 1998; Menendez de la Prida et al., 1998; Menendez de la Prida and Sanchez-Andres, 2000; Ben Ari, 2001). They have a duration of 0.5-2 s and a frequency of 0.1-0.3 Hz both in vitro and in vivo (Lamsa et al., 2000; Ben Ari, 2001; Leinekugel et al., 2002). Although GABAA-mediated transmission promotes the occurrence of GDPs (Ben Ari et al., 1989; Garaschuk et al., 1998; Khalilov et al., 1999), it is notable that they are fully blocked by ionotropic glutamate antagonists (Ben Ari et al., 1989; Hollrigel et al., 1998; Bolea et al., 1999; Lamsa et al., 2000; Khazipov et al., 2001).
That GABAergic transmission is functionally excitatory in the neonate hippocampus has been demonstrated amply in previous work, showing that action-potential firing (Khalilov et al., 1999; Dzhala and Staley, 2003) as well as GDPs are inhibited by GABAA antagonists (Ben Ari et al., 1989; Khalilov et al., 1999; Garaschuk et al., 1998) and that GABAA agonists increase GDP frequency (Khalilov et al., 1999; Lamsa et al., 2000). However, it is important to recognize that these findings do not explain how the excitatory GABAergic actions contribute to the rhythmic network activity characteristic of GDPs. In particular, rhythmic activity of the interneuronal network might drive GDPs, implying a “pacemaker” function for GABAergic activity. In contrast, GABAergic transmission might facilitate GDP occurrence by increasing the general level of network excitation. Finally, a mechanism that has to be addressed in the present context is the role of excitatory GABAergic transmission in synchronization of neuronal activity during GDPs.
The present experiments were performed in the CA3 area because this subfield has the highest propensity to produce GDPs (Ben Ari, 2001). Together, our data suggest that the depolarizing action of GABAergic transmission has a temporally nonpatterned, facilitatory role in the generation of GDPs by promoting voltage-dependent bursting of immature CA3 pyramidal neurons. The CA3 pyramids with their characteristic bursting properties are responsible for shaping the temporal properties of GDP activity.
Materials and Methods
Wistar rat pups (postnatal days 0-6, where day 0 refers to the day of birth) were decapitated, and the brains were dissected in cold (0-4°C) oxygenated (95% O2/5% CO2) standard solution containing the following (in mm): 124 NaCl, 3.0 KCl, 2.0 CaCl2, 25 NaHCO3, 1.1 NaH2PO4, 1.3 MgSO4, and 10 d-glucose, pH 7.4 at 32°C. For electrophysiological recordings, coronal brain slices (350-600 μm) were cut with a vibrating blade microtome (VT1000S; Leica, Nussloch, Germany) and allowed to recover at least for 1 h at 32°C before use.
Electrophysiological recordings. Individual slices were transferred into a submersion-type recording chamber perfused with standard solution (32-33°C). Axopatch 200A and 200B amplifiers were used for whole-cell recordings. Patch pipettes had a resistance of 5-8 MΩ when filled with the following (in mm): 95 K-gluconate, 40 KCl, 5 NaCl, 2 MgCl2, and 10 HEPES, pH 7.2, with KOH or 140 Cs-methanesulfonate (CsMs), 2 MgCl2, and 10 HEPES, pH 7.2, with CsOH. The former intracellular solution was used for current-clamp recordings, and the latter intracellular solution was used for voltage-clamp recordings; the recorded voltage was corrected with a calculated -10 or -13 mV liquid junction potential, respectively (Barry, 1994). Measurement of cell input resistance was based on small hyperpolarizing deflections (<10 mV) under voltage- and current-clamp conditions. All of the cells included in the analyses had a resting membrane potential or, when spontaneously active, a peak afterhyperpolarization (see Results) below -55 mV. All of the intracellular recordings were from CA3 pyramidal neurons that were visually identified using infrared video microscopy (Stuart et al., 1993).
For perforated-patch recordings of membrane voltage (no current was injected), gramicidin D (Sigma, St. Louis, MO) was included in the K-gluconate-based solution at a concentration of 50 μg/ml and applied to pipettes after prefilling of the tip with a gramicidin-free solution. In these recordings, the initial seal resistance was >5 GΩ, and series resistance at the beginning of the actual voltage recording was <300 MΩ.
Extracellular fp recordings were performed with conventional NaCl-filled (150 mm) glass capillary electrodes (tip diameter, 5-10 μm) placed in the stratum pyramidale of area CA3.
Drugs. 2,3-Dioxo-6-nitro-1,2,3,4-tetrahydrobenzo[f]quinoxaline-7-sulfonoamide (NBQX), d,l-AP-5, bicuculline methobromide, 6-imino-3-(4-methoxyphenyl)-1(6H)-pyridazinebutanoic acid hydrobromide (SR 95531) (Gabazine), and isoguvacine hydrochloride were from Tocris Cookson (Bristol, UK), and picrotoxin was from Sigma. The concentration of NBQX and d,l-AP-5 was 10 μm and 40 μm, respectively, unless stated otherwise. Picrotoxin was always applied at 100 μm; the concentrations used for the other drugs are given in Results.
Note on terminology. GDPs were observed originally in intracellular recordings, and it was already concluded at that time that they reflect network activity (Ben Ari et al., 1989). However, using the term GDP for both cellular and network events, which is often done in the literature, can be very confusing. During a network-level GDP, some pyramidal neurons in the immature hippocampus generate “large hyperpolarizing potentials” evoked by GABAergic transmission (Ben Ari et al., 1989). This most likely reflects the variation in the developmental stage (cf. Tyzio et al., 1999) and consequent variation in the level of KCC2 expression (Rivera et al., 1999; Khirug et al., 2005) among individual pyramidal neurons. In addition, bursts of action potentials riding on a slow depolarization, highly reminiscent of GDPs, are often seen in pyramidal neurons in the absence of a network event (“asynchronous” bursts) (see Fig. 2 A, D,E). Therefore, we use the terms GDP and field GDP (fGDP) when referring to the network event recorded intracellularly and extracellularly (cf. Khazipov et al., 2004), respectively. fGDPs were identified on the basis of the characteristic slow, negative fp deflection (range: 20-100 μV, 0.5-2 s; see the paired fp recording in Fig. 2 A for a synchronous event). In paired fp recordings, the electrode tips were placed 30-200 μm apart. Under these conditions, asynchronous spikes reflect unit activity (Draguhn et al., 1998).
Because GABAergic transmission is depolarizing in immature neurons (Ben Ari et al., 1989; Owens and Kriegstein, 2002; Yamada et al., 2004), the term sGABA-PSC was used for spontaneous GABAergic postsynaptic current instead of the conventional spontaneous IPSC.
Analysis. Data were low-pass filtered at 1.6 kHz and digitized at 5 kHz for analyses using the Clampfit (Molecular Devices, Foster City, CA) and Strathclyde Electrophysiology WinWCP and WinEDR (John Dempster, Glasgow, UK) programs and the software programmed under Labview (National Instruments, Austin, TX). The detection threshold for fp spikes was set at >4 SDs of baseline noise signal amplitude. Spontaneous network events (see Results) were detected with threshold set at half-maximal amplitude. The amplitude of events used for quantification showed a variation of less than ±15% under any given experimental condition. For cross-correlation histograms of spikes versus slow, negative fp shifts, a time window of ±1 s from the network event onset was analyzed, and spikes occurring during this time window were excluded from analyses of asynchronous spikes (see Fig. 2 A, D, E, G).
To measure the magnitude of the tonic GABAA-mediated current, we first computed all-point histograms from primary data (Brickley et al., 1996). Then, the magnitude of the tonic current was estimated from peaks of fitted Gaussians obtained from these types of histograms. sGABA-PSCs are seen as an asymmetric “tail” on the positive side of the all-point histograms. Thus, when sGABA-PSCs were seen in primary recordings, bins with less than half of the maximal amplitude on the positive side were not used for the Gaussian fits (these bins are outlined by dots in Fig. 5B). Each all-point histogram included 20-40 s of primary data.
sGABA-PSCs were detected using the Strathclyde Electrophysiology WinEDR program, and software programmed under Labview was used for computing autocorrelation histograms of sGABA-PSC intervals and their amplitude spectra. To analyze the rhythmicity of sGABA-PSCs, these autocorrelation histograms and their amplitude spectra were compared with the mean of 20 identical analyses on surrogate data that were obtained by randomly shuffling sGABA-PSC intervals.
Bandpass filtering was used to highlight unit or population events in the illustrations. Data are presented as mean ± SEM.
Results
Pacemaker properties of neonatal CA3 pyramids
Under current clamp, in the presence of ionotropic glutamate and GABA antagonists (NBQX, AP-5, and picrotoxin), 44 of 65 neonatal CA3 pyramidal neurons showed spontaneous bursts of spikes, and 21 were silent at rest (-70 ± 1.2 mV). The input resistance of the cells was 1.2 ± 0.1 GΩ. In the spontaneously active cells, negative current injection led to silence, and in the silent neurons, positive current injection produced bursting activity. Bursts of spikes (Fig. 1A, inset) were preceded by a slow regenerative depolarization, which commenced at approximately -60 mV, and followed by a slow afterhyperpolarization (sAHP) with a duration of ∼4 s when bursts occurred at a low frequency. The frequency of bursts was enhanced by an additional increase in the depolarizing current and was accompanied by a decrease in the amplitude and duration of the sAHP with little change in spike threshold (Fig. 1A).
Neurons showing a high amplitude of the slow membrane potential oscillation (>15 mV; 19 of the 65 recorded cells), defined as the maximum difference between the spike threshold (-50 ± 0.7 mV; n = 10) and peak of sAHP, were used for a more detailed characterization of the intrinsic bursting. In Figure 1B, the frequency of bursts is plotted as a function of peak sAHP, which shows that its lower limit is ∼0.2 Hz (data from 10 neurons recorded in the presence of NBQX, AP-5, and picrotoxin). An important finding with respect to the analysis of network behavior (see below) was that at frequencies below ∼0.2-0.3 Hz, the coefficient of variation (CV; an indicator of irregularity) of interburst intervals was high. With a very slight increase in frequency, there was an abrupt decrease of the CV to a stable level (Fig. 1C). A change in the frequency of bursts (range, ∼0.2-1.4 Hz) was not associated with a change in burst duration (190 ± 37 ms), spike number per burst (4.2 ± 0.7), or intraburst spike frequency (19 ± 2.7 Hz).
Voltage-dependent bursting in the whole-cell mode was observed also in the absence of the ionotropic synaptic antagonists (data not shown) (Menendez de la Prida and Sanchez-Andres, 2000). However, whole-cell recordings are complicated by intracellular dialysis with the pipette filling solution and by electrode-induced shifts in resting membrane potential (Tyzio et al., 2003). To study the properties of intact neurons, we used the cell-attached recording configuration. In the absence of drugs, in nine neurons showing robust bursting of the kind illustrated in Figure 1D, the preferred frequency of bursts was seen as a peak at ∼0.3 Hz as shown in the interspike interval (ISI) histogram in Figure 1E.
Temporal relationships between unit bursts and fGDPs
Previous results have shown that there is a stimulation intensity-dependent delay (up to ∼250 ms with low intensities) between an electric stimulus and the subsequent evoked GDP (Ben Ari et al., 1989). In addition, an increase in the frequency of depolarizing postsynaptic potentials (mostly GABAergic) to ∼15-20 Hz occurs in ∼15-50% of GDPs during their onset (Menendez de la Prida and Sanchez-Andres, 1999, 2000). These results support the view that synchronization is mediated via recurrent excitatory connections (Traub and Wong, 1982). Therefore, we asked whether fGDP onset is preceded by pyramidal bursting. We characterized the bursting activity of intact neurons in relation to fGDPs (see Materials and Methods for fGDP detection criteria) with paired fp recordings as well as simultaneous fp and cell-attached recordings. Unit bursts were frequently associated with fGDPs, whereas some of the bursts occurred independently, as asynchronous bursts (Fig. 2A,D). A rapid increase in bursts of spikes was frequently seen just before fGDP onset, whereas in some recordings, nearly all spikes were confined to fGDPs (Fig. 2A,B, compare fp 1, fp 2). This was quantified with cumulative cross-correlation histograms that showed that the percentage of spikes preceding fGDPs varied from 2 to 72% between individual recordings (Fig. 2C). These data are consistent with the large variability among individual CA3 pyramidal neurons in their propensity to generate intrinsic bursts during fGDP initiation. In the overall data of eight fp and six cell-attached recordings, 31% of the unit spikes preceded fGDPs and 90% of the unit spikes occurred within a 420 ms period (-135 to +285 ms) from fGDP onset. The fGDP onset was defined as the time of half-maximal amplitude of the slow, negative fp deflection (see Materials and Methods). Together, these observations related to neuronal synchronization are strikingly similar to those made in studies on interictal-like bursts in the mature CA3 region, where pyramidal bursts increase network gain via recurrent excitatory connections (Traub and Wong, 1982). Notably, such a mechanism is consistent with the significant delays observed with stimulation-induced GDPs (see above).
Because whole-cell recordings are complicated by intracellular dialysis with the pipette filling solution and by electrode-induced shifts in resting membrane potential, fp and cell-attached recordings were used for the detailed analysis above. However, an example of an intrinsic burst preceding a GDP is illustrated in Figure 2D. Hyperpolarization of the membrane by negative current injection led to abolishment of asynchronous bursts in five of five experiments (data not shown).
In agreement with previous work (Ben Ari et al., 1989; Hollrigel et al., 1998; Bolea et al., 1999; Lamsa et al., 2000; Khazipov et al., 2001), bath application of NBQX and AP-5 invariably and completely blocked fGDPs (n = 12; [K+]o = 3-5 mm). However, in 8 of 12 recordings, unit bursting could still be seen with an average spike frequency of 0.6 ± 0.2 Hz in the presence of the drugs (vs 1.0 ± 0.3 Hz in control; p = 0.023) (Fig. 2E). These results are consistent with the view that recurrent glutamatergic connections between bursting CA3 pyramids are required for synchronization during fGDPs.
The mean frequency of fGDPs was 0.02 ± 0.005 Hz in the presence of 3 mm [K+]o. However, the distribution of fGDP intervals was not symmetrical and in the overall data had a pronounced peak at ∼3.5 s, which indicates a preferred frequency of ∼0.3 Hz (Fig. 2F). Notably, the interval distribution of asynchronous unit burst activity observed during inter-fGDP intervals in the absence of drugs had a peak at a similar value, at 2.5 s (∼0.4 Hz) (Fig. 2G). Furthermore, the interval distribution of the unit burst activity observed in the presence of glutamate antagonists peaked at 3.5 s (∼0.3 Hz) (Fig. 2H). This novel finding shows that the preferred frequency of unit bursting in the presence and absence of glutamate blockers is similar to the preferred frequency of fGDPs, which provides additional support for the key role of intrinsic bursting properties of CA3 pyramids in shaping the network events.
Effect of tonic depolarization on fGDP rhythmicity
The data obtained so far show that some of the CA3 pyramidal cells are occasionally bursting in their oscillatory voltage window, whereas others are activated only during fGDPs. The hypothesis that fGDPs are paced by pyramidal bursting leads to an additional prediction: a tonic depolarization driving most CA3 pyramids into their oscillatory voltage window should result in a stable fGDP rhythmicity at a frequency band identical to that of the stable bursting of pyramidal neurons (greater than ∼0.2-0.3 Hz) (Fig. 1C). This prediction was tested using elevated [K+]o as well as isoguvacine, a specific GABAA agonist that has been shown to depolarize neonatal CA3 neurons (Ben Ari et al., 1989). Isoguvacine (0.25-1.5 μm) increased fGDP frequency (Fig. 3A1,C) and stabilized it at ∼0.2-0.4 Hz. In four of four experiments, this was seen as a narrow, Gaussian-like fGDP interval distribution (Fig. 3A2) with a decrease in the CV of fGDP intervals. Similarly, elevation of [K+]o resulted not only in an increase in fGDP frequency (Fig. 3B1,C), but, notably, the fGDP interval distribution became narrower with a Gaussian-like shape when the average fGDP frequency reached a value of ∼0.2 Hz (Fig. 3B2). A scatter plot showing the CV of fGDP intervals versus their mean frequency is illustrated in Figure 3D and was strikingly similar to the corresponding plot related to intrinsic bursts of immature CA3 pyramidal neurons (Fig. 1C). Although the fGDP interval distribution shows a pronounced peak at ∼3.5 s in the overall data (Fig. 2F), this was not seen in those individual recordings in which the mean fGDP frequency under standard conditions was very low (Fig. 3B2). However, also in these experiments, tonic depolarization resulted in a peak in the fGDP interval distribution at greater than ∼0.2 Hz. As could be expected, a decrease in [K+]o from its control level 3 mm to 1-2 mm resulted in a near-complete abolishment of fGDPs (n = 4) (Fig. 3C). The novelty of these findings is that the dependency of fGDP rhythmicity on depolarization can be accurately predicted from the voltage-dependent bursting behavior of the CA3 pyramids.
Consistent with previous findings under control conditions (Ben Ari, 2001; Leinekugel et al., 2002), simultaneous voltage-clamp and fp recordings showed that rhythmic bursts of sGABA-PSCs occurred synchronously with fGDPs in elevated [K+]o (7 mm; n = 6) (Fig. 4A). In Figure 4B, superimposed cross-correlation histograms of sGABA-PSCs versus fGDPs and unit spikes versus fGDPs show that interneuronal activity increases in parallel with the activity of pyramidal neurons during fGDP generation. However, unit pyramidal spikes are concentrated to the beginning of fGDPs, whereas the sGABA-PSCs are more evenly distributed and occur within a longer time window. The autocorrelation histograms of sGABA-PSCs had side peaks at intervals of 3.8 ± 0.2 s, whereas clear peaks were absent in autocorrelation histograms based on surrogate data (Fig. 4C1) (see Materials and Methods). Correspondingly, the amplitude spectra of the autocorrelation histograms showed a robust periodicity with a peak at ∼0.2-0.3 Hz, which was not seen in spectra based on surrogate data (n = 6) (Fig. 4C2). This indicates that the interneuronal network is undergoing robust network oscillations with a periodicity similar to that of fGDPs. However, an important observation was that application of NBQX (10-40 μm) and AP-5 (40-120 μm) abolished the sGABA-PSC rhythmicity as well as fGDPs but not unit bursting seen in the extracellular recordings (n = 6) (Fig. 4A,D). This indicates that the rhythmic activity of interneurons is not an intrinsic property of the interneuronal network but is paced by glutamatergic neurons.
Immature CA3 pyramidal neurons receive a strong tonic GABAergic input
In voltage-clamp recordings with the CsMs-based pipette filling solution (see Materials and Methods) and a holding potential of 0 mV, bath application of the GABAA antagonist bicuculline (10 μm) blocked sGABA-PSCs and reduced the holding current by 6.7 ± 0.84 pA (n = 10) (Fig. 5A,B). Consistent with a reduction in current noise by bicuculline, the SD of the Gaussian fit was reduced by 35 ± 0.049% (n = 10; p = 0.0006). Cell input resistance was increased by 43 ± 10% (n = 4; p = 0.046). Picrotoxin (100 μm) also blocked sGABA-PSCs and reduced the holding current by 8.6 ± 0.9 pA (n = 13) (Fig. 5E). These data show that immature CA3 pyramidal neurons receive a pronounced tonic (most likely extrasynaptic) GABAA-mediated input (Brickley et al., 1996; Farrant and Nusser, 2005).
The mean total charge transfer mediated by GABAA receptors was calculated as the time integral of the difference between the current in control solution and in the presence of bicuculline (Fig. 5C, shaded area). The mean total charge transfer conveyed by the tonic current was estimated by multiplying the value of the tonic current obtained from the all-point histograms (Fig. 5B) by time (Fig. 5C, area between the dotted lines). The contribution of the tonic current to the total GABAA-mediated charge transfer was 87 ± 3% (n = 10) during the inter-GDP intervals (i.e., periods when asynchronous unit bursts are seen).
Another GABAA antagonist, SR 95531, has been shown to have a stronger inhibitory effect on phasic than on tonic (extrasynaptic) GABA action (Bai et al., 2001; Stell and Mody, 2002). With concentrations of 0.2, 0.4, 3, and 10 μm, we observed a dose-dependent reduction in the baseline current (Fig. 5D,E). SR 95531 (3-10 μm) completely blocked sGABA-PSCs, and its effect on the tonic component was significantly lower at 10 μm than that of 10 μm bicuculline (Fig. 5E). The fact that a significant portion of the tonic GABAA current was not inhibited with 3 μm SR 95531, whereas a complete block of sGABA-PSCs was seen, was made use of in additional experiments on the role of GABAergic actions on fGDP generation (Fig. 8A,B) (see below).
GABAergic facilitation of unit activity
In the presence of AP-5 and NBQX, further addition of the GABAA antagonists (picrotoxin or bicuculline) blocked the unit activity that was identified in paired fp recordings (Fig. 6A). Notably, when [K+]o was thereafter elevated in steps of 1 mm, unit-bursting activity recovered (Fig. 6A) with a threshold at 5-8 mm [K+]o, and the ISI distribution peaked again at 5 s (∼0.2 Hz) (Fig. 6B). Unit bursting could be induced by [K+]o elevation in the presence of synaptic blockers also in recordings in which asynchronous activity was not detected under control conditions, demonstrating that bursting can be induced in silent CA3 neurons by tonic depolarization.
The actions of endogenous GABA on the neonatal pyramidal neurons were also studied with gramicidin-perforated patching (Kyrozis and Reichling, 1995). In five of five experiments, spontaneous activity was blocked by bath application of 10 μm bicuculline with a concomitant hyperpolarization (Fig. 6C) of the membrane by 2-10 mV, in which larger hyperpolarizations were seen in cells with a more positive value of the resting membrane potential in control (range, -55 to -68 mV).
Facilitation of rhythmic network activity by endogenous GABA
In agreement with previous observations (Ben Ari et al., 1989; Garaschuk et al., 1998; Khalilov et al., 1999), 10 μm bicuculline completely blocked fGDPs seen in field recordings in seven of nine experiments (Fig. 7A), and in the remaining two experiments, there was a marked fall in frequency. In experiments in which application of bicuculline fully blocked fGDPs, elevation of [K+]o always induced a recovery of population activity [termed non-GABA events (NGEs)] that was, in many respects, similar to fGDPs seen under control conditions (Fig. 7A-D).
During NGEs, 90% of the spikes were confined to a 390 ms period, -155 ms to +235 ms, from the half-maximum of the slow, negative fp shift (Fig. 7B). This indicates that unit burst durations as well as their temporal relationship to the network activity are similar for both NGEs and fGDPs. Furthermore, the NGE frequency showed a dependence on extracellular potassium with, notably, a clear shift toward higher [K+]o levels compared with fGDPs under control conditions (Fig. 7C). The requirement of a higher [K+]o for a given increase in NGE versus fGDP frequency is in good agreement with our general idea of a temporally nonpatterned depolarizing role for GABA in fGDP generation. Finally, the CV versus the mean NGE frequency plot showed a similar abrupt decrease at ∼0.2-0.3 Hz as the fGDPs (Fig. 7D). This suggests that variations in the intervals of both NGEs and fGDPs are shaped by the interburst intervals of CA3 pyramidal neurons during imposed depolarizations with variable magnitudes (see above) (Fig. 1C).
Tonic GABA action in the absence of interneuronal input enhances fGDPs
Next we examined whether the tonic GABA action can promote rhythmic population activity. The endogenous tonic GABAA conductance cannot be selectively blocked with any available antagonist (Fig. 5) (Brickley et al., 1996; Bai et al., 2001; Demarque et al., 2002; Stell and Mody, 2002; Semyanov et al., 2003; Farrant and Nusser, 2005). Therefore, we first applied SR 95531 at a concentration of 3 μm in voltage-clamp experiments to block phasic GABA actions (i.e., sGABA-PSCs) (Fig. 8A). Thereafter, 4-32 μm isoguvacine was applied to selectively enhance the tonic GABA current. The application of 10 μm isoguvacine increased the baseline current (17.7 ± 3.0 pA; n = 4; p = 0.01) without evoking sGABA-PSCs, and this increase was blocked by picrotoxin (Fig. 8A). In fp recordings, SR 95531 (3-10 μm) did not abolish fGDPs in seven of seven experiments (Fig. 8B). However, it led to a marked decrease in fGDP frequency to 11.3 ± 3.7% (range, 1.5-32%) from control. The smaller inhibitory effect of SR 95531 versus bicuculline on fGDP frequency is most likely explained by the remaining tonic GABA current (Fig. 5E). Notably, in six of six experiments, isoguvacine (4-32 μm) increased the frequency of fGDPs in a dose-dependent manner by a factor of 4-20 from the level observed in the presence of 3 μm SR 95531 (Fig. 8B). This result supports the conclusion that a temporally patterned output for the interneuronal network is not required for the promotion of fGDPs by depolarizing GABAergic transmission.
Discussion
Although the synaptic basis of fGDP generation has gained a lot of attention, pointing to a functionally excitatory role of GABAA receptor-mediated actions (see Introduction), there is surprisingly little information available on the mechanisms that govern this type of network rhythmicity in the immature hippocampus. Several lines of evidence obtained presently lead to the conclusion that the key action of GABA is to depolarize the CA3 pyramidal neurons to their burst-generating voltage window. This intrinsic bursting of the CA3 pyramids is in turn responsible for the preferred fGDP frequency of ∼0.3 Hz seen in vitro. Notably, a peak at this frequency is also seen in recordings of spontaneous network activity in the immature hippocampus in vivo (Leinekugel et al., 2002).
A key role for intrinsic firing properties in the generation and patterning of network oscillations has been amply demonstrated in various neuronal structures including the thalamus, neocortex, cerebellum, brain stem, spinal cord, and mature hippocampus (Llinas, 1988; Smith et al., 1991; Steriade et al., 1993; Hutcheon and Yarom, 2000; Marder and Bucher, 2001). We show here that voltage-dependent intermittent bursting is an intrinsic property of immature CA3 pyramidal neurons that is seen in the presence of both glutamatergic and GABAergic ionotropic antagonists. Moreover, bursting at a frequency of ∼0.3 Hz also takes place in the absence of drugs, indicating that the underlying intrinsic properties essentially govern the firing patterns of the CA3 pyramids during ongoing synaptic activity.
The idea that intrinsic bursting of CA3 pyramids drives and shapes fGDPs in the immature hippocampus is in full agreement with the fact that ionotropic glutamatergic transmission is obligatory for the generation of the network activity underlying fGDPs but not for unit bursting. In particular, the preferred frequency of unit activity seen within inter-fGDP intervals (asynchronous bursts) and in the presence of glutamate blockers is similar to the preferred frequency of fGDPs. In contrast, blocking GABAA-mediated transmission blocks spontaneous unit firing by membrane hyperpolarization, whereas a subsequent depolarization caused by increasing [K+]o induces a recovery of unit activity. This is, of course, to be expected from the voltage-dependent bursting property of the CA3 pyramids and the presence of a tonic GABAA-mediated conductance. In accordance with the behavior of individual neurons, hyperpolarization produced by decreasing [K+]o or blocking GABAA receptors had an inhibitory action on fGDPs. Depolarization via increasing [K+]o or exogenous GABAA activation not only produced an increase in mean fGDP frequency but also an enhancement of their temporal stability at more than ∼0.2-0.3 Hz, which is the frequency of rhythmic intrinsic bursting of the immature CA3 pyramids.
The present data indicate that the interneuronal network is not endowed with intrinsic properties that are critical for the ∼0.3 Hz rhythmicity. Indeed, the conspicuous rhythmic sGABA-PSC activity that was seen at the preferred fGDP frequency was abolished by glutamate receptor antagonists (Fig. 4). Hence, the interneurons appear to be entrained to their ∼0.3 Hz population activity during fGDPs by the rhythmic input from pyramidal neurons. In the presence of kynurenic acid (a competitive glutamate blocker), metabotropic glutamate receptor agonists, focal electric stimulation, or application of GABA or AMPA have been shown to induce intracellularly recorded bicuculline-sensitive bursts (Strata et al., 1995; Bolea et al., 1999). This might be taken as evidence for an interneuronal pacemaker of fGDPs. However, the experiments mentioned above were performed using intracellular recordings that cannot unambiguously distinguish cellular-level bursts from network events (see Materials and Methods). Notably, GYKI 53655 (a noncompetetive glutamate antagonist) completely blocked these intracellularly recorded bursts (Bolea et al., 1999). Thus, all of the available data indicate that ionotropic glutamate receptor-mediated transmission is required for fGDP generation.
In addition to the results discussed above, the lack of a requirement for a temporally patterned GABAA action in promoting fGDPs was also clearly evident in experiments in which the effects of isoguvacine and elevated [K+]o were compared in the presence of GABAA antagonists. In a complete block of GABAA-mediated transmission by bicuculline, elevation of [K+]o invariably restored population activity with temporal properties similar to those of fGDPs. The competitive GABAA antagonist SR 95531 also enabled us to make experiments in which an increase in tonic GABAA action was imposed in the complete absence of phasic and a partial block of tonic GABAA-mediated transmission (Stell and Mody, 2002) (Fig. 8A,B). Initially, SR 95531 inhibited fGDPs, but rhythmic network events were strongly activated by a following application of isoguvacine. All of the observations discussed above are to be expected on the basis of the simple assumption that the voltage-dependent intrinsic bursting of CA3 pyramids is the proximal site of action of any depolarizing or hyperpolarizing influence in the chain of events that leads to changes in fGDP frequency and temporal stability.
It is also worth noting that because GABAA antagonists had an inhibitory action also at the level of unit bursting, the view that desynchronization would account for their inhibitory action on fGDPs is not supported. A decrease in the general level of excitation (i.e., of nonpatterned, facilitatory GABAergic action) can fully account for the observed effect. This is also supported by the finding that a subsequent elevation of [K+]o invariably induced population bursts. In contrast, ionotropic glutamate antagonists had qualitatively a very different effect because they lead to desynchronization (Ben Ari et al., 1989; Hollrigel et al., 1998; Bolea et al., 1999; Lamsa et al., 2000; Khazipov et al., 2001) of pyramidal cells and interneurons also in elevated [K+]o but did not block spontaneous activity of these cells.
An interesting novel finding in the present work was that in the immature CA3 pyramidal neurons, endogenous GABA activates a large tonic (extrasynaptic) conductance (Fig. 5) (Brickley et al., 1996; Farrant and Nusser, 2005). Application of bicuculline increased the steady-state input resistance, and during inter-GDP intervals, the tonic component was ∼87% from the total GABAA-mediated charge transfer. The substantial tonic GABA conductance in the immature CA3 pyramids under control conditions reflects the presence of nondesensitizing high-affinity receptors (Stell and Mody, 2002) and is in excellent agreement with the potent, dose-dependent, long-term actions of 4-32 μm isoguvacine (Figs. 3A, 8A,B) and other GABAA agonists (Khalilov et al., 1999; Lamsa et al., 2000). Interestingly, previous results (Valeyev et al., 1993; Demarque et al., 2002; Owens and Kriegstein, 2002) on immature neurons have indicated that tonic GABA actions develop before phasic synaptic GABAergic transmission. The former is thought to have a trophic action that depends on depolarization and on consequent downstream signal transduction (Owens and Kriegstein, 2002).
According to the present data, fGDP generation is initiated by any depolarization sufficient to activate voltage-dependent intrinsic bursts in a subpopulation containing perhaps just a few pyramidal cells (Traub and Wong, 1982; cf. Miles and Wong, 1983). This will then lead to (1) recurrent pyramidal excitation (Miles and Wong, 1983; Bolea et al., 1999) and (2) excitation of interneurons (Khazipov et al., 1997), which are likely to impose an additional, recurrent GABAergic feedback drive on the immature pyramidal neurons (Fig. 4B) (Ben Ari et al., 1989; Khalilov et al., 1999; Menendez de la Prida and Sanchez-Andres, 1999, 2000). Thus, a rapid buildup of excitation and synchronization among the population of pyramidal neurons and interneurons produces an fGDP [see Traub and Wong (1982) for data on the disinhibited mature hippocampus]. If a tonic depolarization is imposed on the pyramids, the fGDPs interval is determined by the intrinsic-burst interval of the pyramidal cells as indicated by the present data (Figs. 2, 3, 4).
Under control (physiological) conditions, the tonic action of GABA plays a major role in the depolarization of the CA3 pyramids. Obviously, our data do not exclude the possibility that phasic GABAergic input can initiate intrinsic pyramidal bursts (Ben Ari et al., 1989; Khazipov et al., 1997; cf. Menendez de la Prida and Sanchez-Andres, 1999, 2000; Ben Ari, 2001). Notably, however, we show that the interneuronal network does not generate a temporally patterned input on the pyramidal neurons to pace fGDP activity. An important novel finding in the present study is that a nonpatterned depolarizing GABAergic drive on the pyramidal network can fully account for the well known excitatory role of GABAergic transmission in fGDP generation. Our present data also suggest that the mechanisms generating fGDPs have striking similarities with those underlying interictal-like activity driven by CA3 pyramidal neurons in the mature hippocampus under conditions in which GABAA receptors are blocked, or in the presence of high [K+]o (Traub and Wong, 1982; Aradi and Maccaferri, 2004). Furthermore, excitatory (depolarizing) GABAergic actions in pyramidal pacemakers of the subiculum generate interictal activity in human mesial temporal lobe epilepsy (Cohen et al., 2002, 2003). The above observations lead to an intriguing vision, in which functionally excitatory GABAergic transmission acting on pyramidal pacemakers is a common denominator of two kinds of extensively studied spontaneous network events: (1) the fGDPs generated by the immature hippocampus and (2) the interictal activity in the mature epileptic hippocampus, where GABAergic transmission has reacquired neonatal features in response to neuronal damage (Rivera et al., 2002, 2004; Cohen et al., 2003; Payne et al., 2003).
Footnotes
This work was supported by the Academy of Finland, the Sigrid Juselius Foundation (K.K., J.V.), and by National Institutes of Health Grant NS38580 (I.S.). We thank Dr. Richard Miles for helpful discussions and comments on a previous version of this manuscript.
Correspondence should be addressed to Kai Kaila, Department of Biological and Environmental Sciences, University of Helsinki, FIN-00014 Helsinki, Finland. E-mail: Kai.Kaila{at}Helsinki.Fi.
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