Abstract
Relapse to drugs of abuse can occur after long periods of abstinence. The ventral pallidum (VP) is central to drug addiction, and its glutamatergic neurons (VPGlu), whose activation drives aversion, inhibit drug seeking. However, it remains unknown whether these neurons encode the abstinence from and relapse to drugs. We show here that VPGlu projections specifically to the aversion-related lateral habenula (LHb) and ventral tegmental area gabaergic (VTAGABA) neurons show plasticity induced by abstinence from and reexposure to cocaine or cocaine cues. Both these pathways potentiate during abstinence and restore baseline values upon drug reexposure but with different plasticity mechanisms. Last, inhibiting the VPGlu → LHb pathway enhances cocaine preference after abstinence, while inhibiting the VPGlu → VTA pathway shows variable effects. These findings establish an aversive circuit orchestrated by VPGlu neurons encoding long-term abstinence-driven changes that may contribute to drug relapse.
Cocaine abstinence and reexposure generate permanent changes in specific ventral pallidal glutamatergic outputs.
INTRODUCTION
A central issue in drug addiction is the high rates of relapse, driven by drug craving (1) and the negative emotions induced by withdrawal (2). Neural adaptations during withdrawal were primarily shown in the nucleus accumbens and the ventral tegmental area (VTA) (3–7) and linked mainly to the growing craving for the drug. Adaptations underlying the contribution of aversive symptoms to relapse, however, are less well understood.
The ventral pallidum (VP) is a central structure within the basal ganglia (8, 9) composed primarily of GABAergic neurons whose activation generates conditioned place preference (CPP) and reward seeking (10, 11) and is linked to drug seeking (12, 13). In addition to the GABAergic neurons, 10 to 15% of VP neurons (8, 14, 15) express the vesicular glutamatergic transporter 2 (vGluT2) and are considered glutamatergic neurons. The glutamatergic neurons of the ventral pallidum (VPGlu) are more active during aversive experiences (10) and induce conditioned place aversion, presumably by activating the lateral habenula (LHb), a major center of aversion (11, 14). VPGlu neurons project to many downstream targets of the VP, and we have shown that they are strategically connected more strongly with neurons that induce aversion, such as the LHb and VTA GABAergic (VTAGABA) neurons, while showing weaker synaptic connections with reward-inducing targets, such as VTA dopamine (VTADA) and VP GABAergic (VPGABA) neurons (15). Thus, these neurons may be involved in withdrawal or abstinence from drugs. Recent studies show that the activity of VPGlu neurons, particularly that of VPGlu neurons projecting to the LHb (VPGlu → LHb), correlates with withdrawal from drugs and their activation inhibits drug seeking (13, 16). Nevertheless, it remains unknown whether abstinence from drugs generates long-term adaptations in VPGlu neurons, particularly at the synaptic level. More specifically, it is not known whether prolonged abstinence induces long-term synaptic plasticity in VPGlu outputs, whether such plasticity is general or restricted to specific outputs, and whether terminating abstinence by reexposure to the drug, an event that presumably diminishes withdrawal symptoms, affects synaptic outputs of VPGlu neurons.
In this work, we provide a comprehensive dissection of five VPGlu synapses—on LHb, VTAGABA, VTADA, VPGABA, or other VPGlu neurons—throughout the process of abstinence and reexposure to cocaine. We show that abstinence drives plasticity in VPGlu synapses selectively onto the aversion-inducing LHb and VTAGABA neurons but with different mechanisms in each pathway.
RESULTS
VPGlu neurons are central in cocaine CPP after prolonged abstinence
Activation of VPGlu neurons generates aversion (11, 14, 17, 18) and inhibits heroin taking (16), and the synapses these neurons make on classical aversive targets, such as the LHb or VTAGABA neurons, are potentiated after abstinence from cocaine (15). We therefore wanted to examine whether inhibition of VPGlu neurons affected cocaine CPP after abstinence. We injected vGluT2-Cre mice with an adeno-associated virus (AAV) harboring a DNA sequence encoding for the inhibitory Gi-coupled designer receptors exclusively activated by designer drugs (DREADDs) in a double-inverted orientation (DIO) (AAV-DIO-hM4Di-mCherry) in the VP to infect VPGlu neurons (Fig. 1A and fig. S1). After recovery, mice were first conditioned to receive cocaine in a specific side of a two-chamber box and then underwent 14 days of abstinence. After abstinence, each mouse went through two CPP tests—with intraperitoneal injection of clozapine-N-oxide (CNO; 3 mg/kg) or vehicle 20 min before the test (injection order counterbalanced). The tests were separated by 4 days of reconditioning (two sessions/day) followed by 14 additional days of abstinence (Fig. 1B). Inhibiting the VPGlu neurons generated an increase in cocaine CPP (Fig. 1, C and D)—it elevated the average CPP score from 0.23 ± 0.2 to 0.37 ± 0.08 (P < 0.01), an average increase of 0.14 ± 0.11 in the CPP score (fig. S2)—without affecting locomotion during the CPP test (Fig. 1, E and F; see full statistical information in table S1). Expectedly, injection of cocaine during the conditioning sessions did increase locomotion while cocaine was on board (fig. S3).
Fig. 1. Inhibition of VPGlu neurons is rewarding and enhances cocaine CPP after abstinence.
Circles, females; triangles, males. Horizontal bold lines represent group averages. (A to F) Inhibition of VPGlu neurons during the cocaine CPP test. (A) Microinjection strategy. (B) Experimental protocol. Mice underwent the CPP test 14 days after cocaine conditioning. We injected mice with CNO (3 mg/kg, ip) or vehicle (Veh.) 20 min before test. Mice were then reconditioned, went through abstinence, and tested again but injected with vehicle/CNO, respectively. Order of CNO/vehicle injections was counterbalanced to avoid order effects. (C) Inhibiting VPGlu neurons enhanced the CPP score from 0.23 ± 0.2 to 0.37 ± 0.2 (**, paired t test; t7 = 3.53, P = 0.0097). (CPP = 0 represents indifference). (D) Trajectory movement maps of a mouse injected with vehicle (top) or CNO (bottom). (E and F) VPGlu inhibition did not affect the distance covered (E) (43.7 ± 6.2 m and 47.9 ± 11.1 m with saline/CNO injections, respectively) or the velocity of mice (F) (6.96 ± 1.00 cm/s and 7.62 ± 1.74 cm/s with saline/CNO injections, respectively) (paired t tests). (G to K) Conditioning to the inhibition of VPGlu neurons. (G) Microinjection strategy, same as in (A), and experimental protocol—mice expressing hM4Di in VPGlu neurons were injected with CNO (3 mg/kg, ip) in one side of the CPP box and vehicle in the other side of the box. (H) Mice showed preference for the side paired with VPGlu inhibition [CPPHabituation = −0.05 ± 0.2, CPPTest = 0.20 ± 0.1; **, paired t test; t7 = 3.65, P = 0.0082; #, CPPTest compared to zero (indifference), one-sample t test; t7 = 5.93, P = 0.0006]. (I) Trajectory movement maps of a mouse during habituation (top) and CPP test (bottom). (J and K) VPGlu inhibition during conditioning did not affect the distance covered (145.3 ± 44.5 m and 138.1 ± 30.7 m at habituation and CPP test, respectively) (J) or the velocity of movement (16.90 ± 4.63 cm/s and 19.33 ± 4.12 cm/s at habituation and CPP test, respectively) (K) (paired t tests). All groups consist of eight mice.
Considering the known role of VPGlu neurons in generating aversion (11, 14, 17, 18), the data raise the possibility that inhibition of VPGlu neurons may induce reward, or rather inhibit aversion, that is capable of priming and enhancing cocaine CPP. To further examine this, we expressed AAV-DIO-hM4Di-mCherry in VPGlu neurons as described above and used the CPP protocol to condition the inhibition of VPGlu neurons to a specific side of the box (Fig. 1G). In CPP tests performed 14 days after the last conditioning session, mice showed clear preference for the side paired with VPGlu inhibition—the CPP score was 0.2 ± 0.09 compared to −0.05 ± 0.15 before conditioning (Fig. 1, H and I), reflecting an average increase of 0.25 ± 0.19 in the CPP score (fig. S2). Thus, inhibition of VPGlu neurons does not only enhance cocaine CPP but is rewarding in itself. As in the cocaine CPP experiments, inhibition of VPGlu neurons during conditioning did not affect locomotion during the CPP test (Fig. 1, J and K). However, inhibition of the VPGlu neurons did enhance locomotion while CNO was on board in the conditioning session (fig. S3), although not as strongly as cocaine did. Thus, inhibition of VPGlu neurons and cocaine injections both generate preference and enhance locomotion while on board.
Postsynaptic plasticity in VPGlu → LHb synapses encodes cocaine abstinence and reexposure
Our behavioral data show a clear involvement of VPGlu neurons in the expression of cocaine CPP after abstinence. However, it does not imply the involvement of specific VPGlu projections. Our previous work showed that VPGlu neurons synapse more strongly on aversion-related targets like LHb and VTAGABA neurons (15). Therefore, we next examined whether these “aversive” outputs of VPGlu neurons, in comparison to other VPGlu projections, encode the condition of the mouse throughout the CPP process more reliably than other VPGlu outputs. We hypothesized that VPGlu synapses that are relevant for the encoding of prolonged abstinence from and reexposure to cocaine would change dynamically during these phases to reflect the condition of the mouse.
To evaluate the synaptic properties of five VPGlu outputs—to LHb, VTADA, VTAGABA, VPGABA, or VPGlu neurons—throughout the entire CPP process, we first expressed channelrhodopsin 2 (ChR2) in VPGlu neurons (Fig. 2A and fig. S1) and then trained mice on the cocaine CPP task, followed by 14 days of abstinence (Fig. 2B). After abstinence we reintroduced mice to the CPP box to examine their preference for the cocaine-paired side. Before the CPP test, mice received a cocaine challenge to terminate the abstinence period. Control mice received a saline challenge or no challenge. All three conditions generated a clear and similar preference for the cocaine-paired side (fig. S4) Whole-cell patch-clamp recordings from acute brain slices were performed at three time points—in acute abstinence (24 hours after the last cocaine injection), after prolonged abstinence (14 days after the last cocaine injection), or 15 min after reexposure to cocaine and the CPP test. We recorded and compared three parameters from each cell and used the Bonferroni method to correct for multiple comparisons. Thus, in these experiments, the threshold for significance is P = 0.0167. Putative cell types in the VP (putative VPGlu and VPGABA, pVPGlu and pVPGABA, respectively) or VTA (pVTADA and pVTAGABA) were determined as described in Methods and in figs. S5 and S6.
Fig. 2. VPGlu → LHb neurons show postsynaptic plasticity that tracks abstinence from and reexposure to cocaine.
(A) Viral injection and recording strategy. We injected AAV-DIO-ChR2-eYFP into the VP of vGluT2-Cre mice and activated VPGlu terminals optogenetically while recording from pVPGlu, pVPGABA, pVTAGABA, pVTADA, or LHb neurons. (B) Experimental protocol. Mice were euthanized for recording at three time points—after acute (1 day) abstinence, after prolonged (14 days) abstinence, or after a 15-min CPP test preceded by reexposure to either cocaine (15 mg/kg, ip), vehicle, or no injection. (C to G) Circles/triangles, cells taken from females/males, respectively. (C) A/N ratios in VPGlu → LHb synapses at all five conditions. Prolonged abstinence increased the A/N from 0.94 ± 0.5 in acute abstinence to 2.94 ± 1.3 [one-way ANOVA, F(4,34) = 4.70, P = 0.004, Dunnett’s multiple comparisons test, P = 0.002] and reexposure to cocaine after prolonged abstinence reduced the A/N (P = 0.009 comparing to 14 days of abstinence) back to baseline levels (1.53 ± 0.6, P = 0.76 comparing to the first day of abstinence). (D) Prolonged abstinence from cocaine decreased the A/N ratio in the VPGlu → pVTADA synapse from 1.17 ± 0.3 to 0.55 ± 0.2 [one-way ANOVA, F(4,29) = 5.24, P = 0.003, Dunnett’s multiple comparisons test, P = 0.02]. The low A/N was not changed by reexposure to cocaine or a vehicle injection but was increased back to the baseline level after a CPP test with no pretest injection (P = 0.008). (E to G) Abstinence or reexposure to cocaine did not change the A/N in the VPGlu → pVTAGABA (E), VPGlu → pVPGABA (F), and VPGlu → pVPGlu (G) synapses. A pretest saline injection increased the A/N in the VPGlu → pVPGlu synapse from 1.33 ± 0.29 after prolonged abstinence to 2.77 ± 0.79, but this did not reach significance (P = 0.024, significance threshold is P = 0.0167 after Bonferroni correction for multiple comparisons; see Methods). (H) Representative traces of A/N recordings from the VPGlu → LHb and VPGlu → pVTADA synapses after acute and prolonged abstinence and after reexposure to cocaine. Number of cells ranged between 4 and 10 in all experiments.
We first examined the postsynaptic changes by comparing the ratio between AMPA and N-methyl-d-aspartate (NMDA) currents (A/N) in acute and prolonged abstinence from cocaine and after reexposure to cocaine. A one-way analysis of variance (ANOVA) test on each projection revealed that only the synapses on the LHb and VTADA showed a significant cocaine condition main effect (Fig. 2; see tables S2 and S3 for all statistics). Looking within each projection, our data reveal that the A/N ratio at the VPGlu → LHb synapse changed dynamically during the CPP process—it increased from 0.94 ± 0.5 in acute abstinence to 2.94 ± 1.3 after prolonged abstinence and restored to baseline levels (1.53 ± 0.6) by reexposure to cocaine before a CPP test (Fig. 2, C and H). Putting the mouse through the CPP test but without priming it with cocaine (i.e., with saline injection or no injection) resulted in A/N ratios (2.16 ± 0.5 and 1.8 ± 1.1, respectively) that were higher than those of the cocaine group but lower than the prolonged abstinence group, not significantly different from either. Thus, only reexposure to cocaine and the CPP box was sufficient to restore the acute abstinence A/N values. In addition, the A/N ratios at the VPGlu → LHb synapse were inversely correlated with the CPP score in the three CPP groups combined (fig. S7), suggesting that increased preference is linked to a weaker VPGlu → LHb synapse.
The VPGlu → pVTADA synapse responded to prolonged abstinence opposite to the VPGlu → LHb response—the A/N in this synapse decreased from 1.17 ± 0.3 to 0.55 ± 0.2 (Fig. 2, D and H). Unlike the VPGlu → LHb synapse, the A/N in the VPGlu → pVTADA synapse was not affected by reexposure to cocaine or by a saline injection, but reintroduction to the CPP box without any injection was able to restore preabstinence A/N values. There was no significant difference between the three groups undergoing CPP after abstinence [F(2,19) = 3.26, P = 0.061], and the A/N in this synapse did not correlate with the CPP score (fig. S7). The A/N in the synapses between VPGlu neurons and pVTAGABA (Fig. 2E), pVPGABA (Fig. 2F), or pVPGlu (Fig. 2G) was not affected by prolonged abstinence or reexposure to cocaine or the CPP box and did not correlate with the CPP score (fig. S7), although a pretest injection of saline seemed to increase the A/N in the synapses on VPGlu neurons (did not reach significance). This may indicate that the VPGlu → pVPGlu synapse encodes the aversive effect of the injection.
VPGlu → LHb and VPGlu → pVTAGABA presynaptic plasticity encodes cocaine abstinence and reexposure
Cocaine abstinence and reexposure may induce not only postsynaptic changes but also plasticity in the release of glutamate from VPGlu terminals. We therefore next aimed to determine whether prolonged abstinence from or reexposure to cocaine altered the probability of glutamate release at the five VPGlu projections examined here.
To detect changes in the probability of release, we applied two consecutive optogenetic stimulations of the VPGlu terminals while recording from postsynaptic neurons and used two complementary measurements—the paired-pulse ratio (PPR) (Fig. 3) and the coefficient of variation (CV) of evoked postsynaptic current amplitude (Fig. 4) (see Methods). Both measures are considered to be inversely correlated with the probability of release—the higher the probability of release, the lower the PPR and the CV (19–21).
Fig. 3. Reexposure to cocaine after prolonged restores baseline PPR in VPGlu synapses on LHb and pVTAGABA.
(A to E) Circles, cells taken from females; triangles, cells taken from males. (A and C) The PPR of the VPGlu projections to the LHb (A) and the pVTAGABA (C) changed across the different stages of the CPP protocol [##, one-way ANOVA, VPGlu synapses on LHb: F(4,34) = 4.38, P = 0.006; pVTAGABA: F(4,29) = 4.22, P = 0.008]. Fourteen days of abstinence after cocaine CPP caused a decrease in the PPR of both VPGlu → LHb (from 0.87 ± 0.49 to 0.61 ± 0.19) and VPGlu → pVTAGABA (from 1.06 ± 0.47 to 0.55 ± 0.16) synapses compared to the first day of abstinence. Reexposure to cocaine after prolonged abstinence significantly increased the PPR in both synapses (**, one-way ANOVA, Dunnett’s multiple comparisons test, P = 0.004 for VPGlu → LHb and P = 0.003 for VPGlu → pVTAGABA). In VPGlu → pVTAGABA synapses a pretest saline injection also increased the PPR compared to after 14 days of abstinence (*P = 0.04). (B and D) Cocaine abstinence or reexposure did not affect the PPR of the VPGlu synapses on pVTADA or pVPGABA neurons. (E) Reexposure to cocaine after 14 days of abstinence increased the PPR in the VPGlu → pVPGlu synapse (*, one-way ANOVA, Dunnett’s multiple comparisons test, P = 0.01). (F) Representative traces of consecutive currents recorded in VPGlu → LHB and VPGlu → pVTAGABA synapses after 1 and 14 days of abstinence and after reexposure to cocaine. Number of cells ranged between 5 and 12 in all experiments.
Fig. 4. The CV of VPGlu → LHb and VPGlu → pVTAGABA synaptic currents tracks abstinence from and reexposure to cocaine.
(A to E) Circles, cells taken from females; triangles, cells taken from males. (A and C) The CV of the VPGlu projections to the LHb (A) and the pVTAGABA (C) changed across the different stages of the CPP protocol [one-way ANOVA, VPGlu synapses on LHb—###, F(4,34) = 6.55, P < 0.001; pVTAGABA—##, F(4,29) = 4.85, P = 0.005]. Fourteen days of abstinence after cocaine CPP decreased the CV of both VPGlu → LHb (from 0.45 ± 0.26 to 0.15 ± 0.09; one-way ANOVA, Dunnett’s multiple comparisons test, **P = 0.003) and VPGlu → pVTAGABA (from 0.30 ± 0.16 to 0.09 ± 0.02; one-way ANOVA, Dunnett’s multiple comparisons test, *P = 0.02) synapses, compared to 1 day of abstinence. Reexposure to cocaine after prolonged abstinence significantly increased the CV in both synapses (one-way ANOVA, Dunnett’s multiple comparisons test, ***P = 0.001 for VPGlu → LHb and **P = 0.003 for VPGlu → pVTAGABA). The VPGlu → pVTAGABA pathway showed an increase in CV also with a pretest saline injection (one-way ANOVA, Dunnett’s multiple comparisons test, P = 0.01) compared to 14 days of abstinence. (B and D) Cocaine abstinence or reexposure did not affect the CV of the VPGlu synapses on pVTADA, pVPGABA, or pVPGlu neurons. (E) Reexposure to cocaine after 14 days of abstinence decreased the CV in the VPGlu → pVPGlu synapse (*, one-way ANOVA, Dunnett’s multiple comparisons test, P = 0.04). (F) Representative traces of currents recorded in VPGlu → LHB and VPGlu → pVTAGABA synapses after 1 and 14 days of abstinence and after reexposure to cocaine. Number of cells ranged between 5 and 11 in all experiments.
vGluT2-Cre mice were injected with AAV-DIO-ChR2 into the VP and then underwent cocaine CPP, abstinence, and reexposure to cocaine as also done for the measurement of the A/N ratio (Fig. 2, A and B). A one-way ANOVA test on each projection revealed that only the aversive VPGlu → LHb and VPGlu → pVTAGABA synapses showed a main cocaine condition effect in both the PPR and CV (Figs. 3 and 4; VPGlu → LHb: F(4,35) = 4.85, P = 0.003 and F(4,35) = 7.13, P < 0.001 for PPR and CV, respectively; VPGlu → pVTAGABA: F(4,29) = 4.22, P = 0.008 and F(4,29) = 4.85, P = 0.005 for PPR and CV, respectively; see tables S2 and S3 for full statistical information). Examination within each projection revealed that, like the changes in A/N, the VPGlu → LHb synapse showed presynaptic changes driven by prolonged abstinence or reexposure to cocaine. Prolonged abstinence from cocaine caused a decrease of 33% in the PPR (Fig. 3, A and F; did not reach significance, P = 0.26) and a decrease of 68% in the CV (Fig. 4, A and F, P = 0.002) in this synapse, suggesting that prolonged abstinence increases the probability of release at the VPGlu → LHb synapse. A cocaine challenge + a CPP test after 14 days of abstinence, but not the mere reintroduction to the CPP box with or without a pretest saline injection, restored the acute abstinence values of both PPR (Fig. 3, A and F; P = 0.001 compared to 14 days of abstinence) and CV (Fig. 4, A and F; P < 0.001 compared to 14 days of abstinence). Note that the PPR and CV values after a saline injection were significantly different from those after a cocaine injection, supporting the hypothesis that it is the reexposure to cocaine that drives the presynaptic depression in the VPGlu → LHb synapse. Thus, the data suggest that prolonged abstinence from cocaine potentiates and reexposure to cocaine after prolonged abstinence restore preabstinence synaptic release at the VPGlu → LHb through both presynaptic and postsynaptic mechanisms. In contrast to the A/N, the presynaptic values in the VPGlu → LHb synapse did not correlate with the CPP score (fig. S7).
The VPGlu → pVTAGABA synapse showed presynaptic plasticity like that seen in the VPGlu → LHb synapse. Prolonged abstinence from cocaine decreased the PPR by 48% (Fig. 3, C and F; P = 0.08) and the CV by 71% (Fig. 4, C and F; P = 0.014) compared to the acute abstinence group. Reexposure to cocaine and the CPP test increased both the PPR (2.4-fold, P = 0.003) and the CV (4-fold, P = 0.003), thus restoring the 1-day-abstinence values. Unlike the VPGlu → LHb synapse, a pretest saline injection increased both the CV (fourfold, P = 0.01) and the PPR (twofold, P = 0.04, not significant after correcting for multiple comparisons) compared to the prolonged abstinence group (Figs. 3C and 4C). The mere reintroduction to the CPP box had an intermediate effect on the PPR and CV, increasing their values but not as much as a pretest injection did. These data may indicate that the VPGlu → pVTAGABA synapse may encode information about the cues related to the CPP test (the box itself, the injection as a predictor of cocaine) and not only about the pharmacological effect of cocaine. Moreover, both PPR and CV values in this synapse were inversely correlated with the CPP score across all conditions (fig. S7), suggesting that regardless of the presence of cocaine or specific cues, mice that showed higher preference also showed increased probability of release in the VPGlu → pVTAGABA synapse.
The VPGlu → pVPGlu synapse, as the VPGlu → LHb synapse, increased the PPR upon to reexposure to cocaine after prolonged abstinence (Fig. 3E; from 0.74 ± 0.3 to 1.12 ± 0.3, P = 0.01). However, reexposure to cocaine did not increase CV but decreased it in this synapse, although this did not reach significance after correcting for multiple comparisons (Fig. 4E; P = 0.04).
The VPGlu synapses on the “reward-related” targets, the pVTADA and pVPGABA neurons, did not show any changes in the PPR (Fig. 3) or CV (Fig. 4) induced either by abstinence from or reexposure to cocaine. The PPR and CV in the VPGlu → pVPGABA did correlate inversely with the CPP score, showing that a higher CPP score is linked to an increased probability of release in this synapse (fig. S7).
Together, our results highlight the VPGlu projections to LHb and pVTAGABA neurons, as well as the intra-VP connections between VPGlu neurons, all known to induce aversion, as most relevant to abstinence from and reexposure to cocaine and the CPP test after prolonged abstinence. In general, prolonged abstinence potentiates, while reexposure to cocaine depresses the VPGlu output to aversion-related targets. These changes occur both presynaptically and postsynaptically in the LHb and only presynaptically in VPGlu → pVTAGABA and VPGlu → pVPGlu synapses.
VPGlu → LHb and VPGlu → pVTAGABA show the strongest cocaine-induced plasticity
Our data so far limited the plasticity observed to the postsynaptic (Fig. 2) or presynaptic (Figs. 3 and 4) compartments. As the function of a synapse is affected by both compartments, we wanted to visualize the overall change each VPGlu synapse undergoes and identify which VPGlu projections are the most sensitive to prolonged abstinence from cocaine or reexposure to it after prolonged abstinence.
To achieve this, we calculated for each neuron the percentage of change in each parameter compared to the preceding condition (i.e., we compared the values after 14 days of abstinence to the average after 1 day of abstinence and the values after the CPP test with cocaine/saline/no pretest injection to the average at 14 days of abstinence). We then plotted neurons on a three-axis graph, each axis representing the change in one of the parameters, with a sphere representing the overall mean ± SEM change for each projection (Fig. 5). We also calculated for each data point its Euclidean distance from the axes origin to evaluate the overall change in each synapse.
Fig. 5. VPGlu → LHb and VPGlu → pVTAGABA show the strongest plasticity in response to abstinence from and reexposure to cocaine.
Circles, cells taken from females; triangles, cells taken from males. For each condition, we provide a three-dimensional graph representing the change in A/N (x axis), CV (y axis), and PPR (z axis) in single cells induced by the respective condition (spheres represent mean change ± SEM in all three parameters for a specific projection), accompanied by a between-projection comparison of the average Euclidean distances from the axis origin. (A and B) Overall synaptic plasticity driven by prolonged abstinence was different between projections (###, one-way ANOVA, F(4,36) = 6.46, P = 0.0005). The VPGlu → LHb (219.2, −34.1, and −71.5) stands out as being the most distant from (0,0,0) (***, Tukey’s multiple comparisons test, P < 0.001 for VPGlu → LHb compared to each other projection). The VPGlu → pVTAGABA (4.1, −48.4, and −69.8) shows only presynaptic changes in this conditions. (C and D) Overall synaptic plasticity driven by reexposure to cocaine after prolonged abstinence was different between projections [###, one-way ANOVA, F(4,29) = 6.46, P = 0.0003]. The VPGlu → LHb (48.8, 116.1, and 201.8) and VPGlu → pVTAGABA (55.0, 141.2, and 306.2) projections show the strongest plasticity [Tukey’s multiple comparisons test, P < 0.05 compared to VPGlu → LHb (*), P < 0.01 compared to VPGlu → pVTAGABA (++)]. (E and F) Overall synaptic plasticity driven by reexposure to the CPP box preceded by a saline injection was different between projections [###, one-way ANOVA, F(4,26) = 7.60, P = 0.0003]. This was driven by the strong plasticity shown only in the VPGlu → pVTAGABA (61.9, 103.4, and 291.2) projection (Tukey’s multiple comparisons test; +/++/+++, P < 0.05/P < 0.01/P < 0.001 compared to VPGlu → pVTAGABA). (G and H) Overall synaptic plasticity driven by reexposure to the CPP box alone was different between projections [#, one-way ANOVA, F(4,31) = 3.49, P = 0.018]. This was driven by the strong plasticity shown only in the VPGlu → pVTAGABA (58.3, 48.00, and 183.5) projection (Tukey’s multiple comparisons test, all columns compared to VPGlu → pVTAGABA; +/++, P < 0.05/P < 0.01).
Examination of the overall synaptic changes in each projection highlights the VPGlu → LHb and VPGlu → pVTAGABA as being the most sensitive to prolonged abstinence and reexposure to cocaine and cocaine cues after prolonged abstinence. In particular, the VPGlu → LHb is most sensitive to abstinence from or reexposure to cocaine (Fig. 5, A to D), while the VPGlu → pVTAGABA synapse is highly sensitive to reexposure to cocaine or cocaine cues after abstinence (Fig. 5, C to H). In contrast, the other projections show minor plasticity in these conditions (Fig. 5). Note that exposure to the cues predicting cocaine, the CPP box alone, or with a saline pretest injection caused plasticity only in the VPGlu → pVTAGABA projection, while all other projections were not affected as much (Fig. 5). The overall synaptic changes in each VPGlu synapse driven by each of the conditions tested here are summarized in Fig. 6 and fig. S8.
Fig. 6. A graphical summary of the overall synaptic plasticity occurring in VPGlu → LHb and VPGlu → pVTAGABA synapses.
The number of vesicles represents presynaptic strength, and the number of blue (AMPA) receptors represents postsynaptic strength. Pink receptors, NMDA receptors. Color intensity represents overall synaptic strength. The VPGlu → LHb synapse shows pre- and postsynaptic potentiation after abstinence and depression after reexposure to cocaine. VPGlu → pVTAGABA synapses show similar changes but only on the presynaptic side, as well as presynaptic plasticity when reexposed to cocaine cues, such as the CPP box alone or with a preceding saline injection.
Inhibiting VPGlu → LHb but not VPGlu → VTA projection enhances cocaine CPP
To causally examine whether the VPGlu → LHb projection is the dominant VPGlu projection in modulating CPP, we examined how inhibition of the VPGlu → LHb and VPGlu → VTA projections affect cocaine CPP after abstinence. We injected in vGluT2-Cre mice a virus expressing Flp recombinase in a Cre-dependent manner (AAV-DIO-Flp) into the VP and a retrograde virus expressing Gi-DREADDs in a Flp-dependent manner (retroAAV-fDIO-hM4Di-mCherry) into either the LHb (Fig. 7A and fig. S1) or the VTA (Fig. 7G and fig. S1). We then repeated the cocaine CPP protocol used above (Fig. 1), applying CNO or vehicle 20 min before the beginning of the CPP test (Fig. 7, B and H). As above, each mouse went through two CPP tests separated by reconditioning and abstinence (order of CNO or vehicle injection was counterbalanced). Our data show that inhibiting the VPGlu → LHb projection (Fig. 7, C and D), but not the VPGlu → VTA projection (Fig. 7, I and J), recapitulates the enhancing effect on cocaine CPP we observed when inhibiting the general population of VPGlu neurons (Fig. 1, C and D). While inhibiting the VPGlu → VTA did not change on average cocaine CPP after abstinence (Fig. 7I; CPP score 0.28 ± 0.2 in control, 0.26 ± 0.18 with VPGlu → VTA inhibited), inhibition of the VPGlu → LHb projection doubled the preference for cocaine from 0.15 ± 07 in the control group to 0.31 ± 0.2 (Fig. 7D; see full statistical data in table S1). The differential effect of inhibiting these two projections may be related to our finding that when expressing the DREADDs virus in the VPGlu → LHb projection, we did not observe labeled fibers in the VTA, and when expressing it in the VPGlu → VTA projection, we did not observe labeled fibers in the LHb (fig. S1). Thus, these projections may originate in separate VPGlu neurons. Note that although inhibition of the VPGlu → VTA did not affect CPP on average, it did change CPP in most mice albeit in different directions. This implies that the effect of the VPGlu → VTA projection on CPP may be more nuanced and depend on factors not controlled for here.
Fig. 7. Inhibition of the VPGlu → LHb but not VPGlu → VTA projection enhances cocaine CPP.
Circles, females; triangles, males (A to F) VPGlu → LHb. (A) We injected a retrograde virus expressing hM4Di in a Flp-dependent manner (retroAAV-fDIO-hM4Di-mCherry) into the LHb and an AAV expressing Flp in a cre-dependent manner (DIO-Flp) into the VP of vGluT2-Cre mice. Thus, only VPGlu → LHb neurons expressed Gi-DREADDs. (B) Fourteen days after microinjections, mice went through the cocaine CPP protocol as in Fig. 1A. CNO (3 mg/kg, ip) or vehicle were injected 20 min before the CPP test. Each mouse went through two tests and was injected once with CNO and once with vehicle. Order of CNO/vehicle injections was counterbalanced. (C) Inhibition of VPGlu → LHb neurons increased the cocaine CPP score from 0.15 ± 0.07 to 0.31 ± 0.2 (*, paired t test; t5 = 2.61, P = 0.031). (D) Trajectory movement maps of the same mouse injected with vehicle (top) or CNO (bottom). (E and F) Inhibiting the VPGlu → LHb neurons did not affect the distance covered by the mice (E) (64.4 ± 12.1 m and 55.1 ± 20.0 m with saline and CNO injections, respectively) or the velocity of movement (F) (7.17 ± 1.36 cm/s and 6.25 ± 2.22 cm/s with saline and CNO injections, respectively). (G to L) VPGlu → VTAGABA. (G and H) Same as in (A) and (B), but retroAAV-fDI-hM4Di-mCherry was injected in the VTA. Thus, only VPGlu → VTA neurons expressed Gi-DREADDs and were inhibited by a CNO injection 20 min before the CPP test (vehicle injected in control trial). (I) Inhibiting the VPGlu → VTA pathway did not generate an overall change in cocaine CPP (CPP score was 0.29 ± 0.2 and 0.27 ± 0.2 with saline and CNO injections, respectively; paired t test; t5 = 0.21, P = 0.84). (J) Trajectory movement maps of the same mouse injected with vehicle (top) or CNO (bottom). (K and L) Inhibiting the VPGlu → VTA neurons did not affect the distance covered by the mice (K) (55.4 ± 5.1 m and 49.4 ± 8.2 m with saline and CNO). ns, not significant.
DISCUSSION
The activity level of VPGlu neurons was recently linked to aversion, drug use, and withdrawal. However, there is no knowledge of drug-induced long-term synaptic adaptations in VPGlu neurons after drug exposure and abstinence. In this study, we provide evidence for synaptic plasticity induced by abstinence and reexposure to cocaine or cocaine cues in synapses VPGlu neurons make on LHb and pVTAGABA, but not pVTADA or VP neurons. We show that inhibition of VPGlu neurons (Fig. 1) and specifically their projection to the LHb (Fig. 7) are rewarding and promote cocaine reward. We further show that abstinence from and reexposure to cocaine or cocaine cues are encoded in the synapses that VPGlu neurons make on the LHb and pVTAGABA neurons. Thus, abstinence from cocaine potentiates these synapses, while reexposure to cocaine suppresses them. Synapses that VPGlu neurons make on reward-related targets (pVPGABA and pVTADA neurons), or on each other, remain largely unaffected. The data point to an “aversive network” activated by VPGlu neurons to encode the progress of cocaine exposure, abstinence, and reexposure.
VPGlu → VTAGABA as a pathway involved in abstinence from drugs
Recent research has highlighted the VPGlu → LHb pathway as the main output of VPGlu neurons that exerts aversion (11). VPGlu neurons make strong synapses on LHb neurons (17), and we show here that VPGlu → LHb synapses potentiate during abstinence from cocaine and depress when reexposed to cocaine and that their inhibition is rewarding and elevates cocaine preference. Similar changes were recently shown also for heroin use—the activity of VPGlu → LHb neurons increases during withdrawal from heroin and decreases upon reinstatement of heroin seeking (18).
In this work, we also highlight the importance of the VPGlu → VTAGABA projection in the process of cocaine CPP, abstinence, and reintroduction to cocaine and cocaine cues after prolonged abstinence. Like the VPGlu → LHb pathway, but in contrast to the VPGlu input to neighboring VTADA neurons, the VPGlu → pVTAGABA synapse potentiates after prolonged abstinence and depresses upon subsequent reexposure to cocaine. Nevertheless, the VPGlu → LHb and VPGlu → pVTAGABA projections show some differences. First, while the plasticity in the VPGlu → LHb occurs on both presynaptic and postsynaptic membranes, the plasticity in the VPGlu → pVTAGABA is only presynaptic, occurring only in the VPGlu terminals. Second, abstinence from cocaine induces more dominant plasticity in the VPGlu → LHb pathway. Last, reexposure to the CPP box will only cause plasticity in the VPGlu → LHb synapse if cocaine was injected before the test. These differences in plasticity suggest that the VPGlu → LHb and VPGlu → pVTAGABA may encode different types of information and have different behavioral roles.
Behavioral roles of VPGlu → LHb versus VPGlu → VTAGABA synapses
Inhibiting the VPGlu neurons increased cocaine CPP (Fig. 1). This was replicated by inhibiting specifically VPGlu → LHb neurons but not by inhibiting VPGlu → VTA neurons (Fig. 7). If VPGlu → LHb synapses encode the negative emotions induced by prolonged abstinence, and if abstinence-induced negative emotions are involved in driving cocaine preference, then inhibiting VPGlu → LHb synapses would have been expected to diminish cocaine motivation. However, the fact that inhibiting the VPGlu → LHb pathway increased cocaine CPP may reflect a priming effect of this manipulation. The LHb is known to decrease dopamine release (22, 23), and as inhibiting the VPGlu input would be expected to decrease LHb activity, it is expected to increase dopamine release. That may be interpreted by the mouse as either a suppression of negative emotions (e.g., “disappointment” of not feeling cocaine-induced reward during the test) or as being rewarding, thereby strengthening cocaine memories, akin to a cocaine priming injection, which is known to increase cocaine preference (24, 25).
Inhibiting the VPGlu → VTA pathway did not change the average cocaine CPP (Fig. 7). It did influence the behavior in most individual mice, but this influence was not consistent. It is thus possible that VPGlu inputs to the VTA have several, possibly opposing roles depending on the neurons they innervate. As VPGlu neurons innervate both VTAGABA and VTADA neurons (15), these two inputs are likely to have opposite effects on dopamine release and thus also on behavior. Our data show that the VPGlu → pVTAGABA and VPGlu → pVTADA synapses change differentially during abstinence from and reexposure to cocaine (Figs. 2 to 5). In addition, similar diversity in the effects of VPGlu inputs to the VTA was reported recently as optogenetic activation of VPGlu terminals in the VTA generated diverse dopamine release patterns in the nucleus accumbens (18). Unfortunately, it is still not possible technologically to manipulate the activity of specific synapses. Thus, although we predict that inhibiting VPGlu → VTAGABA synapses would be rewarding and possibly enhance cocaine CPP, while inhibiting VPGlu → VTADA would be aversive and decrease cocaine CPP, we cannot test this hypothesis experimentally with current available tools.
Nevertheless, a possible hint for a more specific behavioral role of the VPGlu → pVTAGABA neurons may come from the different plasticity patterns it shows compared to the VPGlu → LHb pathway when reintroduced to the CPP box after prolonged abstinence. While the VPGlu → LHb synapse seems to respond mainly to the reexposure to cocaine (especially presynaptically), the VPGlu → pVTAGABA synapse responds also to the reintroduction to the CPP box with or without a preceding saline injection (Figs. 2 to 6). Thus, the VPGlu → LHb synapse may encode the fluctuations in the animal’s emotional state (reward versus aversion), while the VPGlu → pVTAGABA may be more directed at encoding reward-predicting cues. VTAGABA neurons are involved in encoding reward-predictive cues (26–28), and our data suggest that their input from the VPGlu neurons may take part in this role.
Last, as much as our data highlight the VPGlu inputs to the LHb and pVTAGABA as having unique roles on behavior, they may as well be part of a general excitatory drive on these targets that modulates aversion and reward. Thus, previous studies show that excitatory inputs from the hypothalamus and entopeduncular nucleus to the LHb (29–31) regulate aversion, and the VTAGABA neurons receive diverse excitatory inputs that were speculated, although not directly tested, to reduce reward and enhance aversion (26, 32). Further research would be needed to test whether the VPGlu input to the LHb or VTAGABA neurons carries unique behavioral information or is one of many that simply drives the activation of these targets.
VPGlu, LHb, and VTAGABA as an aversive network in abstinence
The LHb (31, 33–36), VTAGABA (37–41), and VPGlu neurons (14, 17, 18) all generate aversion, are activated by aversive stimuli, and are involved in a variety of psychiatric disorders. The LHb and VTAGABA neurons inhibit dopamine release. VPGlu neurons were suggested to depress dopamine release as well, although data show a heterogeneous effect on VTADA activity (14, 18). We have shown in a previous study that VPGlu neurons form their strongest synapses on neurons whose activation induces aversion, including LHb, VTAGABA, and other VPGlu neurons (15), and the activity of these neurons is elevated by aversive stimuli (10, 18). Recent studies demonstrate a role for VPGlu neurons in drug seeking and withdrawal—their activation reduces seeking of cocaine (13) and heroin (16), and they increase their activity during withdrawal (16). As with their effect on aversion, the VPGlu effects on withdrawal are thought to involve the projection to the LHb (16).
Our data expand these notions to suggest a synaptic “triangle of aversion” in abstinence from drugs. First, we emphasize VTAGABA neurons as another important target of VPGlu neurons in the context of drug abstinence and exposure. Abstinence from cocaine potentiates this synapse, while reexposure to cocaine after abstinence suppresses this synapse and restores preabstinence values (Figs. 3 to 6). Second, we show that drug- and abstinence-induced changes are embedded in the VPGlu → LHb and VPGlu → pVTAGABA pathways at the synaptic level—both synapses, particularly the VPGlu → LHb synapse, show dynamic synaptic changes as a mouse progresses from drug exposure to abstinence to reexposure.
Given that VTAGABA neurons inhibit dopamine release from VTADA neurons (36–38) and that LHb neurons activate VTAGABA neurons to inhibit dopamine release (39), our data propose that VPGlu neurons may orchestrate the dynamics of the release of dopamine during abstinence or reexposure to cocaine. Thus, it may cause a decrease in dopamine release after abstinence by activating more strongly LHb and VTAGABA neurons while enhancing dopamine release upon reexposure to cocaine by depressing VPGlu synapses on both targets. Thus, dopamine levels may rise, at least temporarily, to end the negative affective state.
METHODS
Animals
We used male and female 8- to 12-week-old vGluT2-IRES-Cre transgenic mice (the Jackson Laboratory, strain #016963) on a C57bl6/J background for the behavioral experiments (Figs. 1 and 6). For the electrophysiological experiments (Figs. 2 to 4), we crossed these mice with Ai9 mice (the Jackson Laboratory, strain #007909) to express tdTomato in glutamatergic neurons, and 8- to 12-week male and female vGluT2-IRES-Cre X Ai9 were used in the experiments. All mice were group-housed (between two and five mice per cage, males and females separately) in a reverse light cycle (lights off at 08:00 a.m.), and experiments were conducted between 09:00 and 19:00. Regular chow and drinking water were available ad libitum. All procedures performed here were approved by the Research Animal Care Committee of the Hebrew University under license numbers MD-15-14405-4 and MD-19-15891-4.
Viral injections
Viral injections were performed as described in our previous study (15). Briefly, we anesthetized mice with isoflurane and fixed them in a stereotaxic frame (Kopf, model 940). In the experiments of Figs. 1 to 5, we drilled bilateral holes in the skull, and 300 nl of virus was microinjected into the VP [coordinates in millimeters relative to bregma: anterior/posterior (A/P), +0.4; medial/lateral (M/L), 1.1; dorsal/ventral (D/V), −5] through a 30 G NanoFil syringe (World Precision Instruments, FL, USA) (100 nl/min; the needle was retracted 5 min after the injection was terminated). The viral constructs were either AAV2-hSyn-DIO-hM4Di-mCherry (Fig. 1) or AAV2-EF1a-DIO-hChR2(H134R)-eYFP (enhanced Yellow Fluorescence Protein) (Figs. 2 to 5) (University of North Carolina Viral Core). In the experiments of Fig. 7, two sets of bilateral holes were drilled—one above the VP and the other above the LHb or VTA. AAV2-DIO-Flp (Addgene, #87306) was injected (300 nl) into the VP, while retroAAV-fDIO-hM4Di-mCherry (Addgene, #154867) was injected together with AAV-hSyn-eYFP to visualize the injection site (300 nl each) into either the LHb (A/P, −1.5; M/L, 0.5; D/V, −3) or the VTA (A/P, −2.1; M/L, 0.31; D/V, −4.6). Sham mice were injected with AAV2-DIO-eYFP (Addgene, #27056) into the VP and retroAAV-fDIO-hM4Di-mCherry into the LHb or VTA. Mice were allowed to recover for at least 1 week before experiments began. At the end of all experiments, we prepared brain slices to examine the location of the viral injection(s). Mice in which the focus of the viral injection (i.e., the point with the strongest fluorescence) was outside the borders of the injected region determined by the Paxinos mouse brain atlas (42), or in which the injection spot was on target, but the fluorescence spread substantially outside the targeted region (approximately more than 20% of the fluorescence, estimated by eye), were not analyzed. Note that while in the behavioral experiments (Figs. 1 and 6) we discarded the whole mouse, in the electrophysiological experiments, we discarded only the relevant hemisphere and still used the other. Overall, two mice were discarded from the behavioral experiments, and five hemispheres from five different mice were discarded from the electrophysiological experiments.
Cocaine CPP
The cocaine CPP and abstinence protocol we used here is similar to that described in our previous studies (43, 44). Behavioral procedures started at least 1 week after microinjections, when the mice were ~10 weeks old and acclimated to the reverse light cycle. All mice were trained in the unbiased two-chamber cocaine CPP paradigm that provides good estimate of reward preference—a 30 cm–by–30 cm arena was divided by a plastic separating wall in two, each side with different wall patterns and floor texture (Fig. 1B). On the first day, all mice were allowed to explore the arena freely. Then, experimental mice went through two conditioning sessions per day (5 hours apart), in which they received either cocaine [in the paired side, 15 mg/kg, intraperitoneally (ip)] or saline (in the unpaired side). The order of injections and the side of the box that was paired with cocaine were balanced between groups. After four conditioning days (eight sessions), mice were left in their home cages for 14 days before being tested for preference of the cocaine-paired side (the separating wall was removed during the test).
In the electrophysiological experiments (Figs. 2 to 5), mice were tested by either putting them in the box without treatment, immediately after a priming injection of cocaine (15 mg/kg ip), or after an intraperitoneal saline injection. Mice were taken for electrophysiological recordings 15 min after the beginning of the test. Two additional groups of mice were taken for recordings 1 or 14 days after the end of the last conditioning session. These mice were taken for recordings directly from their home cages at approximately the same time of the day as all other mice.
For the behavioral experiments in Fig. 1, mice were injected with either CNO (3 mg/kg, ip) or saline 20 min before the beginning of the test and were then placed in the box without any other pretreatment for 15 min. To allow us to measure the preference for cocaine twice in the same mouse, once with CNO and once with saline, mice underwent the cocaine conditioning protocol followed by the 14-day abstinence once again, 24 hours after the first test. The order of CNO/saline injections was counterbalanced—half the mice received CNO before the first CPP test and half the mice received a saline injection before the first CPP test. Mouse behavior and movement were recorded with cameras and analyzed offline (Ethovision X, Noldus). Preference for the cocaine-paired side was calculated as the ratio between the difference in time spent between the cocaine-paired and unpaired sides and the total time [CPP score = (time in paired zone − time in unpaired zone)/(time in paired zone + time in unpaired zone)]. Using this method, a CPP score of 1 is complete preference, a score of (−1) is complete avoidance, and a CPP score of zero represents indifference.
Preference for the side paired with VPGlu inhibition
Mice expressing the Gi-DREADD in VPGlu neurons underwent the same protocol described above for cocaine CPP but were injected with CNO (3 mg/kg, ip, 20 min before the session) instead of cocaine during conditioning. After 14 days of abstinence, they were reintroduced to the box without any pretreatment, and their movement was recorded for 15 min.
Slice preparation for patch-clamp recordings
Slices for patch-clamp recordings were prepared as described in our previous study (15). Mice were anesthetized [ketamine HCl (150 mg/kg)] and decapitated, and coronal, sagittal, or horizontal slices (200 m) of the VP, LHb, or VTA were prepared (VT1200S Leica vibratome). Slices were transferred to a vial containing artificial cerebrospinal fluid (aCSF; 126 mM NaCl, 1.4 mM NaH2PO4, 25 mM NaHCO3, 11 mM glucose, 1.2 MgCl2, 2.4 mM CaCl2, 2.5 mM KCl, 2.0 mM Na-pyruvate, and 0.4 mM ascorbic acid, bubbled with 95% O2 and 5% CO2) and a mixture of 5 mM kynurenic acid and 50 µM D-2-amino-5-phosphonovaleric acid (D-AP5). Slices were stored at room temperature (22° to 24°C) until recording.
In vitro whole-cell recording
All recordings were collected at 32°C (TC-344B, Warner Instrument Corporation). Ventral pallidal neurons were visualized with an Olympus BX51WI microscope. Inhibitory synaptic transmission was blocked with picrotoxin (0.1 mM). Multiclamp 700B (Axon Instruments, Union City, CA) was used to record excitatory postsynaptic currents in whole-cell configuration. Glass microelectrodes (1.3 to 2 megohm) were filled with internal solution [128 mM cesium methanesulfonate, 10 mM Hepes potassium, 1 mM EGTA, 1 mM MgCl2, 10 mM NaCl, 2.0 mM Mg–adenosine triphosphate, 0.3 mM Na–guanosine triphosphate, and 1 mM QX-314 (pH 7.2 to 7.3), ~280 mOsm]. Data were acquired at 10 kHz and filtered at 2 kHz using AxoGraph X software (AxoGraph Scientific, Sydney). For optogenetic stimulation, we used a 470-nm light-emitting diode light source (Mightex Systems, CA) directed to the slice through the objective. If the optogenetic stimulation triggered a noticeable (amplitude of at least 50 pA) postsynaptic current that started up to 2 ms after the beginning of the optogenetic stimulation and appeared consistently in at least 80% of stimulations, we considered the neuron as receiving VPGlu input and continued recording. Proportions of responding neurons were reported in our previous study (15). For recording of the PPR and the CV, we held the neurons at a membrane potential of −70 mV, applied two consecutive optogenetic stimulations (1 ms long), and measured the amplitudes of 20 to 30 evoked currents. The CV was calculated by dividing the standard deviation of the amplitudes of the first evoked currents by the mean amplitude of these currents. The PPR was calculated by dividing the amplitude of the second current by that of the first current. For measuring the AMPA/NMDA ratio, we held neurons at +40 mV for 5 min, then applied an optogenetic stimulation, and recorded the excitatory currents (10 to 20 repetitions). Then, we added the NMDA receptor antagonist D-AP5 (50 μM), allowed it to take action for 3 min, and then applied the optogenetic stimulation again to record the excitatory current that lacked the NMDA component, presumably consisting of only AMPA-mediated currents. Last, we subtracted the AMPA-mediated current from the total current to yield the NMDA-mediated current. The AMPA/NMDA ratio represents the ratio between the peaks of the currents. Recordings started 10 min after membrane rupture and were collected every 20 s. Series resistance (Rs), measured with a −2-mV depolarizing step (10 ms) given with each stimulus, was always monitored online. Recordings with unstable Rs or when Rs exceeded 20 megohm were aborted.
Cell type identification
The identity of neurons in the VP and the VTA was determined by a combination of parameters. pVPGlu neurons were primarily identified by fluorescence of tdTomato. Note that vGluT2 has been shown to be expressed temporarily during development in some cell types that did not express vGluT2 in adulthood (45, 46). Although this was not shown in the VP, we refer to the tdTomato-positive neurons as pVPGlu neurons. The pVPGlu neurons are highly likely to be glutamatergic neurons as the prevalence of these neurons in the VP is about 10% (47, 48), and we have found that in our slices, the labeled neurons in the VP make ~7% of all neurons (fig. S5). Tdtomato-negative neurons were assumed to be pVPGABA neurons based on their reported high prevalence [~90%; (14, 15)], the fact that they do not express tdTomato, and the difference in physiology and morphology from the third most abundant type of VP neurons, cholinergic neurons. Morphologically, the soma diameter of cholinergic neurons is twice bigger than that of noncholinergic neurons (30 μm versus 14 μm, respectively) (49), and thus we avoided somas that were in the range of 30 μm. In addition, cholinergic neurons in the VP show a more hyperpolarized membrane potential, around −65 mV (49), than noncholinergic neurons (50). Thus, we discarded tdTomato-negative neurons with a large soma and a membrane potential more negative than −60 mV. Note that with our tools, we cannot rule out that some neurons may have coexpressed GABA and glutamate, although such neurons have not been reported in the VP to our knowledge.
In the VTA, we used a different set of morphological and physiological parameters to distinguish between pVTADA and pVTAGABA neurons. Morphologically, we show here (fig. S6), and others have shown before (51), that dopaminergic neurons have bigger soma sizes than GABAergic neurons (17.4 ± 2.1 μm and 13.4 ± 1.8 μm, respectively; 30% difference, P < 0.0001). Thus, we used the size of the soma as one parameter to distinguish between pVTADA and pVTAGABA neurons. Also, as we used vGluT2-Cre X Ai9 mice, we excluded neurons expressing td-Tomato. Electrophysiologically, the presence of a hyperpolarization-induced current (Ih) was suggested to be characteristic of dopaminergic neurons (51, 52). Although recent studies show that such currents can be found also in VTAGABA neurons (53, 54) and there are dopamine neurons that do not express Ih currents (55), we applied hyperpolarizatory steps in each cell and found that the neurons we identified as pVTADA had substantial Ih currents (48.2 ± 67.9 pA), while the pVTAGABA did not (−0.98 ± 3.61 pA; P = 0.003) (fig. S6). Thus, nonglutamatergic neurons with bigger somas that exhibited Ih currents were considered to be pVTADA, while nonglutamatergic neurons with smaller somas that did not express Ih were considered pVTAGABA neurons. We cannot rule out that some of the neurons may have coexpressed both GABA and dopamine.
Data analysis
To calculate the percent change in A/N, PPR, or CV between 14 days and 1 day of abstinence in Fig. 5, we calculated for each cell in the 14-day abstinence group the difference between a recorded parameter (e.g., A/N) and the average value of the same parameter in the same projection in the 1-day abstinence group. We then divided this difference by the average value in the 1-day abstinence group to yield the percent change. Similar logic was used to calculate the percent change driven by a cocaine injection/saline injection/no injection after abstinence, but in these groups, the change was calculated relative to the 14-day abstinence group.
After calculating for each neuron its percent change in all three parameters (overall 134 neurons with all three parameters), we generated for each of the four conditions (the effect of prolonged abstinence and the effects of a cocaine injection, a saline injection or no injection after prolonged abstinence) a three-axis graph (A/N, PPR, and CV) on which we plotted the neurons, color-coded by projection using MATLAB (MathWorks, USA). For each projection in each graph, we also calculated the mean and SEM, which is represented as a sphere on the graph. The Euclidean distance of each data point from the axis origin was calculated as the square root of the sum of square values on each axis.
Statistical analysis
Statistics were performed using GraphPad Prism 10.0 (GraphPad Software Inc., San Diego, CA). Outliers were identified using the robust regression and outlier removal (ROUT) method (embedded within GraphPad Prism 10) with Q = 1 (i.e., aiming for 1% of false identified outliers). Using this method, we identified 12 outliers of 569 values measured in the electrophysiology experiments (there were no outliers in the behavioral experiments). Parametric statistics (paired Student’s t test or one-way ANOVA) were used unless stated otherwise. Mouse behavior was analyzed and quantified using Ethovision X (Noldus, the Netherlands). In the electrophysiological experiments (Figs. 2 to 4), we used the Bonferroni correction for multiple comparisons across all tests. This is because we compared three parameters (A/N, PPR, and CV) between the same neurons. Thus, the threshold P value for rejection of the null hypothesis is not P = 0.05 but P = 0.05/3 = 0.0167.
Acknowledgments
Funding: This work was supported by the Israel Science Foundation grant 1117/21 (Y.M.K.), the United States–Israel Binational Science Foundation (BSF) grant 2021154 (Y.M.K.), the Institute for Medical Research Israel-Canada (IMRIC) Center on Addiction Research (ICARe) (Y.M.K. and K.I.), and the Foulkes Foundation Fellowship (L.A.L.).
Author contributions: Conceptualization: Y.M.K. and L.A.L. Methodology: Y.M.K. and L.A.L. Investigation: L.A.L., E.T., and K.I. Visualization: L.A.L. and Y.M.K. Supervision: Y.M.K. Writing—original draft: L.A.L. and Y.M.K. Writing—review and editing: L.A.L. and Y.M.K.
Competing interests: The authors declare that they have no competing interests.
Data and materials availability: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials.
Supplementary Materials
This PDF file includes:
Supplementary Text
Figs. S1 to S8
Tables S1 to S3
REFERENCES AND NOTES
- 1.Lu L., Grimm J. W., Hope B. T., Shaham Y., Incubation of cocaine craving after withdrawal: A review of preclinical data. Neuropharmacology 47, 214–226 (2004). [DOI] [PubMed] [Google Scholar]
- 2.Chavkin C., Koob G. F., Dynorphin, dysphoria, and dependence: The stress of addiction. Neuropsychopharmacology 41, 373–374 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Zinsmaier A. K., Dong Y., Huang Y. H., Cocaine-induced projection-specific and cell type-specific adaptations in the nucleus accumbens. Mol. Psychiatry 27, 669–686 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Dong Y., Taylor J. R., Wolf M. E., Shaham Y., Circuit and synaptic plasticity mechanisms of drug relapse. J. Neurosci. 37, 10867–10876 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Pascoli V., Terrier J., Espallergues J., Valjent E., O’Connor E. C., Lüscher C., Contrasting forms of cocaine-evoked plasticity control components of relapse. Nature 509, 459–464 (2014). [DOI] [PubMed] [Google Scholar]
- 6.Wills L., Kenny P. J., Addiction-related neuroadaptations following chronic nicotine exposure. J. Neurochem. 157, 1652–1673 (2021). [DOI] [PubMed] [Google Scholar]
- 7.Conrad K. L., Tseng K. Y., Uejima J. L., Reimers J. M., Heng L.-J., Shaham Y., Marinelli M., Wolf M. E., Formation of accumbens GluR2-lacking AMPA receptors mediates incubation of cocaine craving. Nature 454, 118–121 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Kupchik Y. M., Prasad A. A., Ventral pallidum cellular and pathway specificity in drug seeking. Neurosci. Biobehav. Rev. 131, 373–386 (2021). [DOI] [PubMed] [Google Scholar]
- 9.Soares-Cunha C., Heinsbroek J. A., Ventral pallidal regulation of motivated behaviors and reinforcement. Front. Neural Circuits. 17, 1086053 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Stephenson-Jones M., Bravo-Rivera C., Ahrens S., Furlan A., Xiao X., Fernandes-Henriques C., Li B., Opposing contributions of gabaergic and glutamatergic ventral pallidal neurons to motivational behaviors. Neuron 105, 921–933.e5 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Faget L., Zell V., Souter E., McPherson A., Ressler R., Gutierrez-Reed N., Yoo J. H., Dulcis D., Hnasko T. S., Opponent control of behavioral reinforcement by inhibitory and excitatory projections from the ventral pallidum. Nat. Commun. 9, 849 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Root D. H., Fabbricatore A. T., Pawlak A. P., Barker D. J., Ma S., West M. O., Slow phasic and tonic activity of ventral pallidal neurons during cocaine self-administration. Synapse 66, 106–127 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Heinsbroek J. A., Bobadilla A.-C., Dereschewitz E., Assali A., Chalhoub R. M., Cowan C. W., Kalivas P. W., Opposing regulation of cocaine seeking by glutamate and GABA neurons in the ventral pallidum. Cell Rep. 30, 2018–2027.e3 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Tooley J., Marconi L., Alipio J. B., Matikainen-Ankney B., Georgiou P., Kravitz A. V., Creed M. C., Glutamatergic ventral pallidal neurons modulate activity of the habenula-tegmental circuitry and constrain reward seeking. Biol. Psychiatry 83, 1012–1023 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Levi L. A., Inbar K., Nachshon N., Bernat N., Gatterer A., Inbar D., Kupchik Y. M., Projection-specific potentiation of ventral pallidal glutamatergic outputs after abstinence from cocaine. J. Neurosci. 40, 1276–1285 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Chen R.-S., Liu J., Wang Y.-J., Ning K., Liu J.-G., Liu Z.-Q., Glutamatergic neurons in ventral pallidum modulate heroin addiction via epithalamic innervation in rats. Acta Pharmacol. Sin. 45, 945–958 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Wang F., Zhang J., Yuan Y., Chen M., Gao Z., Zhan S., Fan C., Sun W., Hu J., Salience processing by glutamatergic neurons in the ventral pallidum. Sci. Bull. 65, 389–401 (2020). [DOI] [PubMed] [Google Scholar]
- 18.Faget L., Oriol L., Lee W.-C., Zell V., Sargent C., Flores A., Hollon N. G., Ramanathan D., Hnasko T. S., Ventral pallidum GABA and glutamate neurons drive approach and avoidance through distinct modulation of VTA cell types. Nat. Commun. 15, 4233 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Faber D. S., Korn H., Applicability of the coefficient of variation method for analyzing synaptic plasticity. Biophys. J. 60, 1288–1294 (1991). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Schinder A. F., Berninger B., Poo M., Postsynaptic target specificity of neurotrophin-induced presynaptic potentiation. Neuron 25, 151–163 (2000). [DOI] [PubMed] [Google Scholar]
- 21.Berninger B., Schinder A. F., Poo M. M., Synaptic reliability correlates with reduced susceptibility to synaptic potentiation by brain-derived neurotrophic factor. Learn. Mem. 6, 232–242 (1999). [PMC free article] [PubMed] [Google Scholar]
- 22.Ji H., Shepard P. D., Lateral habenula stimulation inhibits rat midbrain dopamine neurons through a GABAA receptor-mediated mechanism. J. Neurosci. 27, 6923–6930 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Brown P. L., Palacorolla H., Brady D., Riegger K., Elmer G. I., Shepard P. D., Habenula-induced inhibition of midbrain dopamine neurons is diminished by lesions of the rostromedial tegmental nucleus. J. Neurosci. 37, 217–225 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Mueller D., Stewart J., Cocaine-induced conditioned place preference: Reinstatement by priming injections of cocaine after extinction. Behav. Brain Res. 115, 39–47 (2000). [DOI] [PubMed] [Google Scholar]
- 25.Itzhak Y., Martin J. L., Cocaine-induced conditioned place preference in mice: Induction, extinction and reinstatement by related psychostimulants. Neuropsychopharmacology 26, 130–134 (2002). [DOI] [PubMed] [Google Scholar]
- 26.Bouarab C., Thompson B., Polter A. M., VTA GABA neurons at the interface of stress and reward. Front. Neural Circuits 13, 78 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Pan W.-X., Brown J., Dudman J. T., Neural signals of extinction in the inhibitory microcircuit of the ventral midbrain. Nat. Neurosci. 16, 71–78 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Cohen J. Y., Haesler S., Vong L., Lowell B. B., Uchida N., Neuron-type-specific signals for reward and punishment in the ventral tegmental area. Nature 482, 85–88 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Shabel S. J., Proulx C. D., Trias A., Murphy R. T., Malinow R., Input to the lateral habenula from the basal ganglia is excitatory, aversive, and suppressed by serotonin. Neuron 74, 475–481 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Lazaridis I., Tzortzi O., Weglage M., Märtin A., Xuan Y., Parent M., Johansson Y., Fuzik J., Fürth D., Fenno L. E., Ramakrishnan C., Silberberg G., Deisseroth K., Carlén M., Meletis K., A hypothalamus-habenula circuit controls aversion. Mol. Psychiatry 24, 1351–1368 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Lecca S., Meye F. J., Trusel M., Tchenio A., Harris J., Schwarz M. K., Burdakov D., Georges F., Mameli M., Aversive stimuli drive hypothalamus-to-habenula excitation to promote escape behavior. eLife 6, e30697 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Faget L., Osakada F., Duan J., Ressler R., Johnson A. B., Proudfoot J. A., Yoo J. H., Callaway E. M., Hnasko T. S., afferent inputs to neurotransmitter-defined cell types in the ventral tegmental area. Cell Rep. 15, 2796–2808 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Stamatakis A. M., Stuber G. D., Activation of lateral habenula inputs to the ventral midbrain promotes behavioral avoidance. Nat. Neurosci. 15, 1105–1107 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Li B., Piriz J., Mirrione M., Chung C., Proulx C. D., Schulz D., Henn F., Malinow R., Synaptic potentiation onto habenula neurons in the learned helplessness model of depression. Nature 470, 535–539 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Maroteaux M., Mameli M., Cocaine evokes projection-specific synaptic plasticity of lateral habenula neurons. J. Neurosci. 32, 12641–12646 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Zuo W., Chen L., Wang L., Ye J.-H., Cocaine facilitates glutamatergic transmission and activates lateral habenular neurons. Neuropharmacology 70, 180–189 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Mitten E. H., Souders A., Marron Fernandez de Velasco E., Wickman K., Stress-induced anxiety-related behavior in mice is driven by enhanced excitability of ventral tegmental area GABA neurons. Front. Behav. Neurosci. 18, 1425607 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Lowes D. C., Chamberlin L. A., Kretsge L. N., Holt E. S., Abbas A. I., Park A. J., Yusufova L., Bretton Z. H., Firdous A., Enikolopov A. G., Gordon J. A., Harris A. Z., Ventral tegmental area GABA neurons mediate stress-induced blunted reward-seeking in mice. Nat. Commun. 12, 3539 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Root D. H., Barker D. J., Estrin D. J., Miranda-Barrientos J. A., Liu B., Zhang S., Wang H.-L., Vautier F., Ramakrishnan C., Kim Y. S., Fenno L., Deisseroth K., Morales M., Distinct signaling by ventral tegmental area glutamate, GABA, and combinatorial glutamate-GABA neurons in motivated behavior. Cell Rep. 32, 108094 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.van Zessen R., Phillips J. L., Budygin E. A., Stuber G. D., Activation of VTA GABA neurons disrupts reward consumption. Neuron 73, 1184–1194 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Tan K. R., Yvon C., Turiault M., Mirzabekov J. J., Doehner J., Labouèbe G., Deisseroth K., Tye K. M., Lüscher C., GABA neurons of the VTA drive conditioned place aversion. Neuron 73, 1173–1183 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.G. Paxinos, K. B. J. Franklin, The Mouse Brain in Stereotaxic Coordinates (Academic Press, ed. 2, 2001). [Google Scholar]
- 43.Inbar K., Levi L. A., Kupchik Y. M., Cocaine induces input and cell-type-specific synaptic plasticity in ventral pallidum-projecting nucleus accumbens medium spiny neurons. Neuropsychopharmacology 47, 1461–1472 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Bernat N., Campbell R. R., Nam H., Basu M., Odesser T., Elyasaf G., Engeln M., Chandra R., Golden S., Ament S., Lobo M. K., Kupchik Y. M., Multimodal interrogation of ventral pallidum projections reveals projection-specific signatures and effects on cocaine reward. J. Neurosci. 44, e1469232024 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Mendez J. A., Bourque M.-J., Dal Bo G., Bourdeau M. L., Danik M., Williams S., Lacaille J.-C., Trudeau L.-E., Developmental and target-dependent regulation of vesicular glutamate transporter expression by dopamine neurons. J. Neurosci. 28, 6309–6318 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Steinkellner T., Zell V., Farino Z. J., Sonders M. S., Villeneuve M., Freyberg R. J., Przedborski S., Lu W., Freyberg Z., Hnasko T. S., Role for VGLUT2 in selective vulnerability of midbrain dopamine neurons. J. Clin. Invest. 128, 774–788 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Yang L., Fang L. Z., Lynch M. R., Xu C. S., Hahm H. J., Zhang Y., Heitmeier M. R., Costa V. D., Samineni V. K., Creed M. C., Transcriptomic landscape of mammalian ventral pallidum at single-cell resolution. Sci. Adv. 10, eadq6017 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.D. J. Ottenheimer, R. C. Simon, C. T. Burke, A. J. Bowen, S. M. Ferguson, G. D. Stuber, Single-cell sequencing of rodent ventral pallidum reveals diverse neuronal subtypes with non-canonical interregional continuity. bioRxiv 585611 [Preprint] (2024). 10.1101/2024.03.18.585611. [DOI]
- 49.Bengtson C. P., Osborne P. B., Electrophysiological properties of cholinergic and noncholinergic neurons in the ventral pallidal region of the nucleus basalis in rat brain slices. J. Neurophysiol. 83, 2649–2660 (2000). [DOI] [PubMed] [Google Scholar]
- 50.Kupchik Y. M., Kalivas P. W., The rostral subcommissural ventral pallidum is a mix of ventral pallidal neurons and neurons from adjacent areas: An electrophysiological study. Brain Struct. Funct. 218, 1487–1500 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Chieng B., Azriel Y., Mohammadi S., Christie M. J., Distinct cellular properties of identified dopaminergic and GABAergic neurons in the mouse ventral tegmental area. J. Physiol. (Lond.) 589, 3775–3787 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Zhong P., Vickstrom C. R., Liu X., Hu Y., Yu L., Yu H.-G., Liu Q.-S., HCN2 channels in the ventral tegmental area regulate behavioral responses to chronic stress. eLife 7, e32420 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Mu L., Liu X., Yu H., Vickstrom C. R., Friedman V., Kelly T. J., Hu Y., Su W., Liu S., Mantsch J. R., Liu Q.-S., cAMP-mediated upregulation of HCN channels in VTA dopamine neurons promotes cocaine reinforcement. Mol. Psychiatry 28, 3930–3942 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Margolis E. B., Toy B., Himmels P., Morales M., Fields H. L., Identification of rat ventral tegmental area GABAergic neurons. PLOS ONE 7, e42365 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Lammel S., Ion D. I., Roeper J., Malenka R. C., Projection-specific modulation of dopamine neuron synapses by aversive and rewarding stimuli. Neuron 70, 855–862 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
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Supplementary Materials
Supplementary Text
Figs. S1 to S8
Tables S1 to S3







