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. 2007 Nov 2;1:1. doi: 10.3389/neuro.04.001.2007

Frequency-Dependent Gating of Synaptic Transmission and Plasticity by Dopamine

Hiroshi T Ito 1, Erin M Schuman 2,*
PMCID: PMC2526279  PMID: 18946543

Abstract

The neurotransmitter dopamine (DA) plays an important role in learning by enhancing the saliency of behaviorally relevant stimuli. How this stimulus selection is achieved on the cellular level, however, is not known. Here, in recordings from hippocampal slices, we show that DA acts specifically at the direct cortical input to hippocampal area CA1 (the temporoammonic (TA) pathway) to filter the excitatory drive onto pyramidal neurons based on the input frequency. During low-frequency patterns of stimulation, DA depressed excitatory TA inputs to both CA1 pyramidal neurons and local inhibitory GABAergic interneurons via presynaptic inhibition. In contrast, during high-frequency patterns of stimulation, DA potently facilitated the TA excitatory drive onto CA1 pyramidal neurons, owing to diminished feedforward inhibition. Analysis of DA's effects over a broad range of stimulus frequencies indicates that it acts as a high-pass filter, augmenting the response to high-frequency inputs while diminishing the impact of low-frequency inputs. These modulatory effects of DA exert a profound influence on activity-dependent forms of synaptic plasticity at both TA-CA1 and Schaffer-collateral (SC)-CA1 synapses. Taken together, our data demonstrate that DA acts as a gate on the direct cortical input to the hippocampus, modulating information flow and synaptic plasticity in a frequency-dependent manner.

Keywords: hippocampus, area CA1, dopamine, temporoammonic pathway, frequency-dependent filter, LTP, LTD

Introduction

Midbrain dopaminergic neurons increase their firing activity when animals receive unexpected rewards or experience a novel environment—both the hedonic value and familiarity of stimuli are important determinants in learning (Horvitz, 2000; Schultz and Dickinson, 2000). The learning-related activities of dopaminergic neurons may induce modifications of the neural networks that underlie behavioral plasticity (McClure et al. 2003; Montague et al. 2004).

One of the targets of dopaminergic neurons is the hippocampus, a brain structure crucial for some types of learning and memory (Gasbarri et al. 1994a, 1994b, 1996a; Scoville and Milner, 1957; Squire et al. 2004; Swanson, 1982; Zola-Morgan and Squire, 1986). Dopamine (DA) is released in the hippocampus when animals are exposed to novel environments (Ihalainen et al. 1999), influencing hippocampal-dependent learning (Gasbarri et al. 1996b).

In the hippocampus, the primary targets of dopaminergic neurons are the subiculum and area CA1 (Gasbarri et al. 1997). CA1 pyramidal neurons receive two distinct excitatory synaptic inputs: one from area CA3 (the Schaffer-collateral (SC) pathway), and the other from the entorhinal cortex (the temporoammonic (TA) pathway) (Cajal, 1911). Each pathway appears to have a distinct function in learning (Brun et al. 2002; Remondes and Schuman, 2004; Steffenach et al. 2002) and may be differentially modulated depending on the familiarity of the environment (Hasselmo and Schnell, 1994; Otmakhova and Lisman, 1999; Otmakhova et al. 2005). This differential pathway modulation may contribute to the distinct informational representation between area CA1 and CA3, as observed in in vivo animals (Lee et al. 2004; Leutgeb et al. 2004; Vazdarjanova and Guzowski, 2004). Indeed, independent modulation of the two pathways has been hypothesized to play a significant role in learning (Guzowski et al. 2004; Hasselmo et al. 1996; Knierim et al. 2006; Lisman and Otmakhova, 2001). Here we explored how DA modulates the signal integration of these two hippocampal pathways with the goal of understanding how DA might regulate information selection during learning.

Materials and Methods

Hippocampal slice preparation

Slices were prepared from 25 to 35 day-old Sprague-Dawley rats (Harlan) and microdissected to isolate the TA pathway, as described previously (Dvorak-Carbone and Schuman, 1999a). In brief, a vibrating microtome (EMS OTS4000 or Leica VT1000S) or a tissue chopper (Stoelting) was used to cut hippocampal slices (500 μm thickness, except 300 μm for Figures 1C and 1D) in ice-cold oxygenated artificial cerebrospinal fluid (ACSF) containing (in mM) 119 NaCl, 2.5 KCl, 1.3 MgSO4, 2.5 CaCl, 1.0 NaH2PO4, 26.2 NaHCO3, 11.0 glucose. Slices were recovered at room temperature for at least 1 hour in an interface chamber, and transferred to a submerged recording chamber perfused with ACSF at 24.5–25.5°C. The dentate gyrus and CA3 were removed to eliminate the possible activation of the trisynaptic pathway or perforant path projection to area CA3. Concentric bipolar tungsten electrodes (FHC) and stimulus isolators (Axon Instruments) were used for the stimulation.

Figure 1.

Figure 1

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Inhibition of TA-CA1 pyramidal excitatory synaptic transmission by DA. (A) Simultaneous extracellular field recording from SC-CA1 and TA-CA1 synapses. Extracellular recording and stimulating electrodes are placed in SLM or SR, respectively. SO, stratum oriens; SP, stratum pyramidale. Shown are representative fEPSP recorded in SLM or SR as a result of TA or SC stimulation. Scale bar = 0.1 mV, 10 ms. (B) Application of DA (20 μM; indicated by bar) significantly depressed the fEPSP slope of TA-CA1 synapses, but did not affect SC-CA1 synapses (n = 6). Scale bar = 0.1 mV, 5 ms. (C) Whole-cell patch-clamp recording from CA1 pyramidal neurons in the presence of the GABAA and B receptor antagonists, bicuculline (10 μM) and CGP 55845A (1 μM). After DA application, the EPSC evoked by TA pathway stimulation was significantly depressed, p < 0.01 (n = 4). Scale bar = 50 pA, 20 ms. (D) Paired-pulse facilitation analysis using the same condition described in C. Pulse interval was 50 ms. Data from individual experiments are represented by small gray circles; large diamonds represent the mean. After DA application, paired-pulse facilitation of the TA-CA1 EPSC was significantly enhanced, p < 0.01 (n = 5). Scale bar = 20 ms. (E) Recovery from long-term application of DA (n = 4). (F) Blockade of DA-induced depression at TA-CA1 synapses by DA receptor antagonists, SKF 83566 (1 μM) and Sulpiride (10 μM) (DA: n = 8, DA antagonists: n = 5).

Electrophysiology

Extracellular field potential recordings were made with 1–3 MΩ resistance microelectrodes filled with 3 M NaCl using a bridge amplifier (Axoclamp 2B, Axon Instruments). Whole-cell voltage-clamp recordings from CA1 pyramidal neurons were made without visualization with an Axopatch 1D or 200B (Axon Instruments). Internal solution of patch pipettes was (in mM) 115 potassium gluconate, 20 KCl, 10 sodium phosphocreatine, 10 HEPES, 2 MgATP, 0.3 NaGTP (pH 7.3). In addition, to minimize possible postsynaptic current modulation by DA, pipette solutions contained (in mM) 5 QX314, 10 TEA, 1 4AP. Membrane voltage was clamped at −60 mV (without liquid junctional potential correction, absolute value of holding current < 100 pA in all recordings). Membrane capacitance was cancelled and series resistance was compensated (70–80%). Recordings were discarded when the series resistance was over 20 MΩ or either series or membrane resistance changed more than 20% during data acquisition. For sharp-electrode intracellular recordings from CA1 interneurons, electrodes were blindly advanced at the border of stratum radiatum (SR) and stratum lacunosum-moleculare (SLM) and neurons were penetrated with a short buzz with an Axoclamp 2B amplifier. Interneurons were identified by both spike activities and morphology using biocytin staining after the recording. Sharp electrodes were 90–150 MΩ in resistance and contained 2 M potassium acetate. No tonic current was injected during recordings. Input resistance and membrane potential were monitored and recordings were discarded when either of them changed more than 20% during data acquisition. In our recordings from interneurons (n = 5), average input resistance: 45.2 ± 7.8 MΩ and average membrane potential: −66.6 ± 3.0 mV. In the experiments using low [Ca2+]ext, extracellular calcium concentration was 1.25 mM, instead 2.5 mM, and the total divalent cation was compensated by adding magnesium. For frequency-dependent modulation analysis, 100 pulses stimulation at the indicated frequencies were applied after baseline responses were stable for at least 10 minute. The following stimulation protocols were used: for long-term potentiation (LTP) induction, 100 Hz 100 pulses, repeated 4 times at 5 minute intervals; for long-term depression (LTD) induction, 1 Hz 900 pulses. For joint theta-burst stimulation (TBS) application, 10 bursts of either 5 (SC) or 10 (TA) at 100 Hz with 200 ms interburst interval was repeated twice at 30 second interval (the onset of TA TBS precedes SC TBS by 20 ms). All stimulus pulses were of the same length and amplitude as test pulses. Test pulses were applied once every 30 second for extracellular field recordings, every 15 second for whole-cell recordings and every 10 second for sharp electrode intracellular recordings. Drugs were applied by dilution of concentrated stock solutions into the perfusion medium. The final concentration of bath-applied DA was 20 μM (e.g., Otmakhova and Lisman, 1999). In acute DA application experiments, 500 μL of ACSF-diluted DA (60 μM) was directly applied into the recording chamber. The volume of recording chamber is ∼1 mL, thus estimated final concentration of DA is ∼20 μM. The flow rate of ACSF was approximately 1.5 mL/minute.

Data analysis

Data were collected by a custom program using the LabView data acquisition system (National Instruments) for extracellular recordings, or DigiData 1200 and pClamp 9 (Axon Instruments) for intracellular recordings. All numerical values listed represent mean ± SEM. Depression and potentiation were measured at 30–35 and 50–60 minute after plasticity induction, respectively, relative to baseline (average of the slopes of the field EPSPs (fEPSPs) for 15 minute prior to plasticity induction). For plasticity experiments under DA application, the baseline fEPSP was normalized to the depressed state. For analysis of the waveforms during 100 pulses stimulation, stimulation artifacts (and fiber volleys in field recordings) were excluded and the gaps were linearly connected, and the last excitatory potential or current (100th stimulus response) was measured by a custom program in Matlab (MathWorks). Steady-state potentials or currents were measured to exclude the influence of initial states of the network at the beginning of stimulation. Wilcoxon rank sum test was performed for all statistical analysis except Figure 9E, for which an ANOVA was performed.

Figure 9.

Figure 9

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Reduction of LTP interference at SC-CA1 synapses by DA-induced disinhibition at TA-CA1 synapses. (A) Scheme of LTP interference protocol. Bursts (10) of either 5 (SC) or 10 (TA) at 100 Hz with 200 ms interburst interval, was repeated twice at 30 second interval. TA-TBS precedes SC-TBS by 20 ms. (B) Compensation of DA-induced excitatory depression by increasing the stimulation current. After DA-induced depression was stabilized, the stimulation current was increased to return the fEPSP to its baseline value (tuning, indicated by arrow). (C) Influence of DA on the LTP interference of SC-CA1 synapses elicited by the TA pathway stimulation. TBS was applied to either the SC pathway alone (left; control: n = 8, DA: n = 6) or both the SC and the TA pathways concurrently (middle; n = 9 for each group). Right figure shows the enhancement of LTP at TA-CA1 synapses by DA after concurrent TBS application (n = 9 for each group). (D) No significant influence of DA on SC-LTP induced by HFS. LTP induction protocol was 100 Hz (100 pulse) stimulation, repeated 4 times at 5 minute intervals (n = 6 for each). (E) Analysis of DA's effects on the magnitude of LTP after TBS application, either at SC-CA1 synapses (left) or at TA-CA1 synapses. DA significantly attenuated the LTP interference at SC-CA1 synapses (p < 0.05), and enhanced LTP at TA-CA1 synapses (p < 0.01).

Results

DA selectively depresses excitatory synaptic transmission at TA-CA1 pyramidal neuron synapses

To examine the differential influence of DA on the two excitatory inputs to area CA1, we made extracellular field recordings from both the SC pathway and the TA pathway in hippocampal slices (Figure 1A). As previously described (Otmakhova and Lisman, 1999), when DA (20 μM) was applied to the bathing solution, the fEPSP evoked by the TA pathway stimulation was depressed, whereas the fEPSP by the SC pathway stimulation was not significantly altered (Figure 1B; DA: 49.2 ± 8.8%, SC: 93.6 ± 15.8%, mean percent of baseline 20–30 minute after DA application). To identify the synaptic locus of DA's effect, we conducted whole-cell voltage-clamp recordings from CA1 pyramidal neurons. DA also depressed the EPSC evoked by the TA pathway stimulation (Figure 1C; 56.8 ± 2.3%, average of 15–20 minute after DA application), indicating a decrease in excitatory neurotransmission. We also analyzed paired-pulse facilitation [inversely correlated with vesicle release probability (Dobrunz and Stevens, 1997; Katz and Miledi, 1968; Zucker, 1973)], before and after DA application. After DA application, paired-pulse facilitation was significantly enhanced (Figure 1D), suggesting that DA acts, at least in part, via an inhibition of neurotransmitter release. The DA-induced depression was reversible (Figure 1E) and blocked by DA receptor antagonists (Figure 1F).

DA depresses excitatory synaptic transmission at TA-interneuronal synapses

In addition to excitatory connections with CA1 pyramidal neuron dendrites, the axons of the TA pathway also make synapses with interneurons in area CA1 (Freund and Buzsaki, 1996). Among the various classes of interneurons present, the interneurons located at the border between SR and SLM receive excitatory synapses from the TA pathway (Dvorak-Carbone and Schuman, 1999b; Lacaille and Schwartzkroin, 1988). We obtained intracellular recordings from those interneurons and examined the effects of DA on the TA-interneuron excitatory synapse. We found that DA also depressed the TA pathway-evoked EPSP in interneurons (Figure 2B; 57.7 ± 4.2% in EPSP amplitude, 44.0 ± 12.5% in EPSP slope after DA application). Thus, DA depressed the excitatory synaptic inputs at both TA-pyramidal and TA-interneuron synapses. Although we did not examine connections between TA axons and other type of interneurons in area CA1, considering the presynaptic action of DA (Figure 1D), it is possible that other TA-interneuron synapses will be similarly depressed.

Figure 2.

Figure 2

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DA-induced depression of excitatory inputs to SLM interneurons. (A) Intracellular recording from SLM interneurons. Biocytin-filled electrodes were used for the staining of SLM interneurons. The inset shows representative spike activities following current injection. Scale bar = 50 ms, 20 mV. (B) After DA application, the EPSP evoked by the TA pathway stimulation was significantly depressed. p < 0.01 (n = 5). Scale bar = 1 mV, 20 ms. (C) Whole-cell voltage-clamp recordings from CA1 pyramidal neurons at a holding potential of 0 mV. The late component of the IPSC disappeared after excitatory blockade with CNQX (10 μM) and APV (25 μM). The size of late IPSC showed large variability among recorded neurons. Scale bar = 50 pA, 100 ms. (D) The monosynaptic IPSC was blocked by GABA receptor antagonists, bicuculline (10 μM) and CGP 55845A (1 μM). Scale bar = 50 pA, 100 ms. (E) DA did not influence monosynaptic IPSC. Scale bar = 20 pA, 50 ms.

Previous studies have reported that relatively strong inhibitory responses can be observed in CA1 pyramidal neurons following TA pathway stimulation (Empson and Heinemann, 1995). Since the TA-CA1 synapses are primarily excitatory (Desmond et al. 1994), the inhibition of pyramidal neurons is caused by interneurons which receive excitatory inputs from the TA pathway and, in turn, make inhibitory connections with pyramidal neurons (Lacaille and Schwartzkroin, 1988). We thus examined the inhibitory responses in CA1 pyramidal neurons evoked by TA pathway stimulation. Whole-cell monosynaptic IPSCs were recorded from CA1 pyramidal neurons at a holding potential of 0 mV in the presence of glutamate receptor antagonists (CNQX + APV). The monosynaptic IPSC (Figure 2D) was not modulated by DA (Figure 2E), suggesting that DA does not influence inhibitory synaptic transmission.

DA-induced presynaptic inhibition enhances synaptic transmission at TA-CA1 synapses during high-frequency stimulation (HFS)

The above indicate that DA appears to selectively inhibit the excitatory TA connections with both local interneurons and CA1 pyramidal neurons (Figure 3A). The DA-induced depression of excitatory inputs to interneurons is predicted to reduce the impact of inhibitory transmission on CA1 pyramidal neurons (disinhibition). Because this inhibitory transmission is disynaptic, the inhibition of pyramidal neurons is delayed relative to excitation. This raises the possibility that DA's ability to modulate the output of the TA-CA1 circuit may be modulated by stimulation frequency. In particular, we predicted that appropriately timed TA stimuli would increase the impact of disinhibition (Figure 3B).

Figure 3.

Figure 3

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DA augments the steady-state field potential induced by HFS. (A) Scheme of the TA-CA1 synapse. The TA axons make excitatory connections with both pyramidal neurons and interneurons. Interneurons in turn inhibit pyramidal neurons (feedforward inhibition). Depression of excitatory inputs onto interneurons by DA reduces inhibition of pyramidal neurons. (B) Frequency-dependent effect of feedforward inhibition. In contrast to the direct excitatory TA-CA1 input, the TA pathway exerts a disynaptic modulation of inhibition. Thus, the inhibition of pyramidal neurons after TA stimulation is delayed, relative to the excitation. In pyramidal neurons, the TA pathway-evoked inhibition does not affect excitation during low-frequency stimulation, because of the delay in inhibition. However, during HFS, inhibition can effectively suppress subsequent excitatory responses. (C) Extracellular field recording from TA-CA1 synapses. Left, HFS was applied at 15 and 45 minute (indicated by arrows). Field potential traces during HFS are normalized to the baseline fEPSP amplitude prior to HFS application. The field potential at the end of the HFS (100th stimulus response) was measured (steady-state potential). Right, the average waveforms during HFS are shown. DA: after first HFS, DA was applied (indicated by bar). Low [Ca2+]ext: after first HFS, the extracellular calcium concentration was reduced from 2.5 to 1.25 mM (indicated by bar). Reduced stimulus: at 30 minute, the stimulation current was reduced to produce a small fEPSP comparable to that observed during DA application (indicated by arrow) (n = 5 for each group). (D) Ratio of steady-state potentials observed during second and first HFS epochs. DA application induced a significantly (p < 0.01) larger steady-state potential that was also mimicked by reduction of [Ca2+]ext

To test this idea, we examined the net effect of DA during epochs of HFS. We made extracellular field recordings from the TA-CA1 synapses, before, during and after two epochs of HFS (100 Hz 100 pulses); the second epoch was delivered after DA application (Figure 3C). To quantify the differences between first and second HFS, we measured the field potential evoked by the last (100th) stimulus (referred to as the “steady-state potential”). Under control conditions, the steady-state potentials observed at the first and second HFS were almost identical (second/first steady-state potential ratio: 0.96 ± 0.04) (Figure 3D). DA application, however, significantly enhanced the second steady-state potential (ratio: 1.98 ± 0.13). To examine whether presynaptic inhibition is sufficient to induce this phenomenon, we lowered the extracellular calcium concentration after first HFS (low [Ca2+]ext; Figure 3C), reducing the probability of neurotransmitter release. This manipulation mimicked the effect of DA, resulting in a larger steady-state potential at the second HFS (ratio: 1.67 ± 0.15; Figure 3D). To exclude the possibility that a smaller fEPSP (induced by DA) may itself induce a larger steady-state potential, independent of release probability, we reduced the stimulus strength to imitate the small fEPSP depressed by DA (reduced stimulus; Figure 3C). This manipulation did not augment the steady-state potential (ratio: 0.60 ± 0.11; Figure 3D). Taken together, these data suggest that presynaptic inhibition induced by DA is responsible for the larger steady-state field potential observed during HFS.

To directly examine the synaptic efficacy of TA-pyramidal neuron synapses, we made whole-cell voltage-clamp recordings from CA1 pyramidal neurons and measured current influx evoked by the TA pathway stimulation in control or DA-treated slices (Figure 4A). A comparison of the average TA-elicited EPSC waveforms from control versus DA-treated slices indicated no apparent differences in the EPSC waveform shape or kinetics (Figure 4A, left). Input resistance also did not differ between the groups. However, during HFS, current influx was significantly larger in the presence of DA (Figure 4A, middle and right), suggesting that synaptic efficacy of TA-pyramidal neuron synapses was enhanced by DA. To confirm that the above differences were caused by a modulation of inhibitory transmission, we made recordings under GABAA and B receptor blockade to isolate excitatory inputs. We found that GABA receptor antagonists completely prevented the facilitation of the steady-state current by DA (Figure 4B), indicating that the observed difference (Figure 4A) was caused by inhibitory modulation. The above results reinforce the idea that DA-induced disinhibition enhances synaptic efficacy during HFS.

Figure 4.

Figure 4

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Enhancement of TA-CA1 synaptic efficacy during HFS via DA-induced disinhibition. (A) Whole-cell voltage-clamp recording from CA1 pyramidal neurons. Waveforms represent the average of all data, showing normalized baseline EPSC (left) and current during HFS (middle). There was no difference in the kinetics of EPSC waveforms obtained with or without DA application. Waveforms during HFS (100 Hz 100 pulses) were normalized to baseline EPSC amplitude prior to HFS, and the current at the end of HFS (100th stimulus response) was measured (steady-state current). The right figure shows the analysis of steady-state current, showing that DA induced a significantly (p < 0.01) larger steady-state current. Input resistances were not significantly different (in MΩ; control: 85.8 ± 9.3, DA: 85.0 ± 9.0 (n = 6 for each group). Scale bar = 20 ms. (B) Same experimental procedure as A under GABA receptor blockade by bicuculline and CGP 55845A. GABA blockade attenuated the enhancement of steady-state current by DA. Input resistances were not significantly different (in M Ω; Bic + CGP: 102.0 ± 7.9, Bic + CGP + DA: 98.0 ± 4.6 (n = 5 for each group ). Scale bar = 20 ms.

DA imposes a high-pass filter on TA-CA1 synaptic transmission

The oscillatory patterns of neural networks in the mammalian brain cover a wide range of frequencies approximately from 0.05 to 500 Hz (Buzsaki and Draguhn, 2004). We reasoned that the temporal features of disinhibition may interact with oscillatory dynamics of neural networks to produce frequency-dependent modulatory effects of DA. To delineate the frequency profile of DA-induced modulation, we stimulated the TA pathway with 100 pulses at frequencies ranging from 5 to 100 Hz (Figures 5A and 6A). Under control conditions, steady-state potentials became progressively smaller at stimulation frequencies greater than 10 Hz (Figure 6A). On the other hand, under the influence of DA, steady-state potentials were enhanced at all frequencies higher than 10 Hz (Figure 6A). Thus, DA exerts a stimulation frequency-dependent modulation of synaptic strength. In another set of analyses, we took into account the DA-induced inhibition of basal transmission by normalizing all potentials to the baseline fEPSP before DA application (Figures 5B and 6B). Under the influence of DA, steady-state potentials were smaller than control during low-frequency stimulation because of the excitatory depression, however, during HFS, the disinhibition overcame the depression and steady-state potentials were larger than control (Figure 6B). A similar of results was obtained in a set of experiments conducted at near physiological temperature (32–34°C) (Figures 6C and 6D). These data indicate that the DA-induced disinhibition together with its excitatory depression exhibits an alternate gating of synaptic strength in a frequency-dependent manner—increasing the impact of high-frequency inputs while decreasing the impact of low-frequency signals. Thus, DA acts as a high-pass filter on TA-CA1 pyramidal neuron signaling.

Figure 5.

Figure 5

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High-pass filtering of TA-CA1 synaptic efficacy by DA. (A) Examination of frequency-dependent modulation by DA, using extracellular field recordings. Pulses (100) of different stimulation frequencies, as indicated, were applied. Data were normalized to the baseline fEPSP amplitude prior to stimulation and each mean fEPSP amplitude during 100 pulse stimulation was plotted (from top to bottom; control: n = 5, 5, 7, 6, and 5, DA: n = 5, 5, 5, 5, and 5). (B) Same data as in A, but normalized to the baseline fEPSP amplitude before, instead of after, DA application.

Figure 6.

Figure 6

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Analysis of DA-induced filtering at TA-CA1 synapses at room and near physiological temperatures. (A) Using same data as in Figure 5, steady-state potentials were measured. In the presence of DA, the steady-state potential became larger during HFS. p < 0.05 relative to control (from left to right; control: n = 5, 5, 7, 6, and 5, DA: n = 5, 5, 5, 5, and 5). (B) As in Figure 5B, data were normalized to baseline fEPSP amplitude prior to DA application. Thus, this figure shows the total effect of DA, including on the depression of basal synaptic transmission. Under DA application, although the steady-state potential was smaller during low-frequency stimulation, it overcame the depression and became larger than control during HFS. p < 0.05 relative to control. Note that control error bars are smaller than the symbol size. (C) Similar experiments as A conducted at higher temperature (32–34°C). (D) Similar analysis as B, using data acquired at higher temperature.

DA bi-directionally modulates synaptic plasticity

To assess the functional impact of DA-induced filtering, we next examined the DA's effect on synaptic plasticity, the sign and strength of which is known to be dependent on stimulation frequency. To test this idea, LTP was induced at TA-CA1 synapses with or without DA (Figure 7A. LTP, induced by HFS (5 trains of 100 Hz 100 pulses), was significantly enhanced by DA (control: 126.4 ± 7.2, DA: 172.6 ± 14.3, 50–60 minute after LTP induction), which was blocked by DA receptor antagonists (Figures 7D and 7E). On the other hand, LTD, which is induced by low-frequency stimulation, was attenuated by DA (Figure 7B; control: 81.7 ± 3.5%, DA: 94.8 ± 2.3%, 30–35 minute after LTD induction). Thus, the frequency-dependent signal filtering by DA has a profound functional impact on the magnitude of synaptic plasticity. We next examined whether modulation of inhibitory transmission also underlies this phenomena. Under GABA receptor blockade, LTP at TA-CA1 synapses was enhanced, and DA's effect on LTP enhancement was occluded (Figure 7C; Bic + CGP: 171.5 ± 18.6%, Bic + CGP + DA: 152.1 ± 9.8%, 50–60 minute after LTP induction), suggesting an obligatory contribution from the inhibitory network.

Figure 7.

Figure 7

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DA-induced modulation of synaptic plasticity at TA-CA1 synapses. (A) Enhancement of TA-CA1 LTP by DA. DA was present for the duration of the experiment. Baselines are normalized to 1.0 in order to examine LTP independent of the depression of basal synaptic transmission by DA. For all traces, the baseline (preplasticity) trace is black, the post-plasticity trace is gray. p < 0.01 (control: n = 7, DA: n = 8). Scale bar = 0.1 mV, 5 ms. (B) Attenuation of TA-CA1 LTD by DA. Gray bar: LTD induction. p < 0.01 ( control: n = 7, DA: n = 6). Scale bar = 0.1 mV, 5 ms. (C) Occlusion of DA-induced TA-CA1 LTP enhancement under GABAA and B receptor blockade. Under GABA receptor blockade, DA did not significantly enhance LTP (n = 5 for each group). Scale bar = 0.1 mV, 5 ms. (D) Blockade of DA-induced enhancement of TA-LTP by DA receptor antagonists, SKF 83566 (1 μM) and Sulpiride (10 μM) (DA: n = 8, DA antagonists: n = 5). (E) Analysis of LTP at TA-CA1 synapses (50–60minute after LTP induction). DA receptor antagonists completely blocked DA-induced enhancement of TA-LTP (control: n = 7, DA: n = 8, DA antagonists: n = 5).

How quickly can the network adapt to DA signals? Because dopaminergic neurons show both tonic and burst-like activity patterns in vivo (Floresco et al. 2003; Grace, 1991), we examined the sensitivity of this modulation to very brief (10 second + 1–2 minute washout) temporally controlled applications of DA (Figures 8A and 8B). When DA was applied 10 second before LTP induction, LTP was significantly enhanced when compared with vehicle-applied control (Figure 8C; vehicle: 107.0 ± 2.7%, DA: 136.5 ± 8.7%, 50–60 minute after LTP induction). The application of DA for 10 second 3 minute before LTP or 10 second after induction, however, did not enhance of TA-CA1 LTP (Figure 8D; 3 minute before: 111.0 ± 4.0%, 10 second after: 110.7 ± 5.6%). These data indicate that extremely brief DA application that is coincident with LTP induction is capable of modulating the TA-CA1 plasticity network.

Figure 8.

Figure 8

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Temporally selectivity of LTP enhancement by DA. (A) Acute application of DA. DA was applied for just 10 second either 10 second before, 10 second after, or 3 minute before LTP induction. LTP induction protocol was 100 Hz 100 pulse stimulation, repeated 2 times at an interval of 30 second. DA was directly applied in the recording chamber for 10 second and estimated washout time was about 1–2 minute. (B) fEPSP slopes during acute application of DA. TA pathway was stimulated at 0.5 Hz. DA was directly applied into the recording chamber at 1 minute (indicated by arrow) and its effects on synaptic transmission were reversible. (C) DA application at 10 second before LTP induction significantly enhanced LTP at TA-CA1 synapses (vehicle: n = 7, DA: n = 8). (D) DA application 3 minute before or 10 second after LTP induction did not enhance LTP (bottom, n = 6 for each)

DA-induced disinhibition influences synaptic plasticity at SC-CA1 synapses

Although DA-induced excitatory depression is selective to TA-CA1 synapses, the resulting disinhibition may influence another excitatory input to area CA1, the SC pathway. Previous work has shown that TA activity can interfere with LTP induction at SC-CA1 synapses, primarily due to inhibition evoked by the TA pathway stimulation (Levy et al. 1998; Remondes and Schuman, 2002). We reasoned that DA-induced disinhibition may attenuate this LTP interference. We first confirmed that DA had no significant effect on the magnitude of LTP at SC-CA1 synapses up to 1 hour after LTP induction, when the SC was stimulated alone either by TBS (Figure 9C; control: 142.4 ± 5.7%, DA: 139.7 ± 5.3%, 50–60 minute after LTP induction) or by HFS (Figure 9D; control: 179.6 ± 15.5%, DA: 179.5 ± 13.0%). As previously shown, joint TBS applied to both the SC and TA pathways significantly attenuated LTP at SC-CA1 synapses (Figure 9E; 112.3 ± 3.0%). To assess the DA-induced disinhibitory effect on LTP interference, the stimulation amplitude was increased after DA application to compensate for the DA-induced excitatory depression (Figure 9B). Under this condition, DA significantly attenuated the LTP interference of SC-CA1 synapses elicited by concurrent TA activity (Figure 9E; 128.0 ± 1.5%). These results indicate that DA-induced disinhibition has a large impact on plasticity induction not only at TA-CA1 synapses, but also at SC-CA1 synapses.

Discussion

Frequency-dependent signal filtering by DA

Our results indicate that DA imposes a high-pass filter on signal propagation at TA-CA1 synapses and dynamically modulates information flow and synaptic plasticity in area CA1. Although previous studies have shown synaptic modulation induced by specific DA receptor subtypes in the hippocampus (Chen et al. 1996; Huang and Kandel, 1995; Otmakhova and Lisman, 1996, 1998), it was not clear how DA itself, as a neurotransmitter, modulates the activity of the integrated hippocampal network. Because of complex cooperative and uncooperative interactions among DA receptor subtypes (Lee et al. 2004; Missale et al. 1998; Plaznik et al. 1989; Rashid et al. 2007; Schmidt and Pierce, 2006; Taussig et al. 1993; Tucek et al. 2002; Wu and Hablitz, 2005), we decided to examine, primarily, the combined effects resulting from application of DA itself. Here we demonstrate that DA has a profound influence on signal integration of the two pathways in hippocampal area CA1, which may represent an information selection process for learning.

Because both synaptic transmission and action potential generation depend nonlinearly on the input patterns, it is important to understand synaptic function over a wide range of activity frequencies. Indeed, the importance of a frequency-dependent analysis of synaptic transmission was previously suggested (Markram et al. 1998). The frequency-dependent filter at TA-CA1 synapses we describe here, differentially modulates (i.e., depresses or enhances) signals depending on input frequency, thus transferring qualitatively different information through the synaptic network. This frequency-dependency emerges due to differential responses to synaptic inputs that result from monosynaptic and disynaptic transmission (Figures 3B and 10). One advantage of this type of alternate gating is the potential for enabling dynamic coupling among different brain areas, because of actively generated oscillatory activities in the brain (Buzsaki and Draguhn, 2004; Siapas et al. 2005). Dynamic modulation of information flow via oscillatory coupling is suggested to have an important role in learning (for review, Axmacher et al. 2006).

Figure 10.

Figure 10

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Modulation of excitatory/inhibitory balance by DA-induced excitatory depression. (A) Simulation based on an integrate-and-fire model. Excitatory stimuli at 100 Hz are delivered using EPSPs of different initial strengths. Each plot shows either maximal membrane potential (left) or firing frequency (right) to a given initial input strength. During monosynaptic transmission, maximum membrane potentials depend approximately linearly on input strength (left). Disynaptic transmission, on the other hand, requires action potential generation for the signal propagation, which imposes a nonlinear dependency on input strength (right). (B) Total signal output from multiple neurons. Each neuron has a different threshold-level as plotted in different colors (left). Summated output depends nonlinearly on input synaptic strength (right). Similarly, at TA-CA1 synapses, a pyramidal neuron receives disynaptic inhibition from multiple number of interneurons, thus inhibition evoked by the TA pathway should nonlinearly depend on the input synaptic strength. (C) Differential influence of synaptic depression between monosynaptic and disynaptic transmission. After depression of TA-CA1 synaptic transmission, the reduction of disynaptic inhibition is larger than that of monosynaptic excitation, explaining why the synaptic efficacy is enhanced during HFS, as observed as high-pass filtering, under the DA-induced excitatory depression. Other interneuron classes not studied here may be similarly affected by DA.

Functional impact of high-pass signal filtering on in vivo oscillatory activities

Mutual interactions between the dopaminergic system and the hippocampus have been previously suggested (Lisman and Grace, 2005; Lisman and Otmakhova, 2001). Both the hippocampus and the dopaminergic system show differential activation depending on the familiarity of the stimuli (Fyhn et al. 2002; Horvitz, 2000; Kumaran and Maguire, 2006; Rutishauser et al. 2006; Schultz, 1998; Vinogradova, 2001) and influence learning (Adcock et al. 2006; Buhusi et al. 1998; Katz et al. 2002; Meltzer and Constable, 2005; Wittmann et al. 2005). In contrast with short-latency responses (<100 ms) of dopaminergic neurons to the stimuli (Comoli et al. 2003; Dommett et al. 2005; Schultz, 1998), differential activation of the hippocampus appears approximately from 200 to 400 ms after the stimuli (Brankack et al. 1996; Grunwald et al. 1998; Knight, 1996), suggesting DA may serve as a gate to modulate information flow into the hippocampus (Black et al. 2000; Jurkowlaniec et al. 2003; Orzel-Gryglewska et al. 2006).

Our demonstration of frequency-dependent signal modulation by the neurotransmitter DA has important ramifications for network function in vivo, especially when one considers the behavior-dependent oscillatory activities emerging from different brain structures (Buzsaki, 1996, 2002; Steriade, 2001). For example, during exploratory behavior, the firing patterns of neurons in layer II/III of the entorhinal cortex which send projections to the hippocampus, are characterized by theta (4–12 Hz) and gamma frequency volleys (40–100 Hz) (Chrobak et al. 2000). Our data predict that precisely these frequencies will be differentially influenced by DA-induced high-pass filtering. Because signals from the entorhinal cortex (the TA pathway) are thought to relay sensory-bound information (Quirk et al. 1992; Witter and Moser, 2006), in contrast with the associatively processed information from area CA3 (the SC pathway) (Nakazawa et al. 2002; Treves and Rolls, 1994), the DA-induced frequency-selective enhancement of TA-CA1 signals may modulate the integration of environmental information with previously associated information as it leaves the hippocampus through area CA1. Supporting this idea, a theoretical study suggests that input frequency at TA-CA1 synapses will influence the decoding of information carried via the SC pathway (Yoshida et al. 2002). Furthermore, we demonstrate that DA-induced disinhibition attenuates the TA-evoked interference of plasticity induction at SC-CA1 synapses, possibly boosting information integration in area CA1. Taken together, these data indicate that DA can transform the hippocampal network to an “encoding mode” by reducing the inhibition on CA1 pyramidal neurons and modulating the information flow from the entorhinal cortex, thus facilitating the learning of behaviorally relevant events.

Conflict of Interest Statement

This research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We thank members of the Schuman laboratory for discussions. H. T. I. is supported by the Nakajima foundation. E. M. S. is an investigator of the Howard Hughes Medical Institute.

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