Abstract
Cholinergic neurons within the pedunculopontine tegmental nucleus have been implicated in a range of functions, including behavioral state control, attention, and modulation of midbrain and basal ganglia systems. Previous experiments with excitotoxic lesions have found persistent learning impairment and altered response to nicotine following lesion of the posterior component of the PPTg (pPPTg). These effects have been attributed to disrupted input to midbrain dopamine systems, particularly the ventral tegmental area. The pPPTg contains a dense collection of cholinergic neurons and also large numbers of glutamatergic and GABAergic neurons. Because these interdigitated populations of neurons are all susceptible to excitotoxins, the effects of such lesions cannot be attributed to one neuronal population. We wished to assess whether the learning impairments and altered responses to nicotine in excitotoxic PPTg-lesioned rats were due to loss of cholinergic neurons within the pPPTg. Selective depletion of cholinergic pPPTg neurons is achievable with the fusion toxin Dtx-UII, which targets UII receptors expressed only by cholinergic neurons in this region. Rats bearing bilateral lesions of cholinergic pPPTg neurons (>90 % ChAT+ neuronal loss) displayed no deficits in the learning or performance of fixed and variable ratio schedules of reinforcement for pellet reward. Separate rats with the same lesions had a normal locomotor response to nicotine and furthermore sensitized to repeated administration of nicotine at the same rate as sham controls. Previously seen changes in these behaviors following excitotoxic pPPTg lesions cannot be attributed solely to loss of cholinergic neurons. These findings indicate that non-cholinergic neurons within the pPPTg are responsible for the learning deficits and altered responses to nicotine seen after excitotoxic lesions. The functions of cholinergic neurons may be related to behavioral state control and attention rather than learning.
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Introduction
Lesions of the pedunculopontine tegmental nucleus of the upper brainstem disrupt instrumental learning (Alderson et al. 2004) and alter the behavioral responses to several drugs of abuse including nicotine (Alderson et al. 2006, 2008), morphine (Miller et al. 2002) and amphetamine (Inglis et al. 1994). Excitotoxic lesions restricted to the posterior PPTg (pPPTg) impair the ability to learn food-rewarded instrumental tasks (Wilson et al. 2009). Such lesions also alter the locomotor response to repeated systemic nicotine—reducing the initial hypolocomotion and increasing subsequent hyperlocomotion (Alderson et al. 2008). Both of these behaviors are dependent on the functional integrity of midbrain dopamine (DA) systems, particularly those of the ventral tegmental area (VTA) and subsequent projections to the nucleus accumbens (NAcc) (Louis and Clarke 1998; Tsai et al. 2009; Zellner and Ranaldi 2010). The pPPTg contains a dense population of cholinergic neurons [due to which it is often referred to as PPTg pars compacta (Manaye et al. 1999)] and the effects of excitotoxic lesion of PPTg on learning and nicotine might plausibly be explained by loss of cholinergic innervation of dopaminergic systems. Midbrain DA neurons require acetylcholine (ACh) for the switch from tonic to phasic firing, which is essential for normal instrumental learning (Maskos et al. 2005; Maskos 2008; Zweifel et al. 2009). The PPTg and neighboring laterodorsal tegmental nucleus (LDTg) are the sole source of ACh arriving at midbrain DA systems and send innervation in a well-defined topographical manner: the anterior PPTg (aPPTg) principally targets the substantia nigra (SN), the pPPTg the SN and VTA, and the LDTg largely innervates the VTA (Oakman et al. 1995; Maskos 2008). A topographically arranged cholinergic projection to the striatum and NAcc has also been identified, with aPPTg preferentially innervating the dorsolateral striatum, the pPPTg the medial striatum and NAcc shell, and the LDTg innervating the NAcc core and areas of the most medial striatum (Dautan et al. 2014). Up-regulation of nicotinic acetylcholine receptors (nAChRs) within VTA following loss of pPPTg innervation can be presented as an explanation for the enhanced response to systemic nicotine in excitotoxic PPTg-lesioned rats (Alderson et al. 2008). However, in addition to containing a dense population of cholinergic neurons, the pPPTg also contains large numbers of glutamatergic and GABAergic neurons (Wang and Morales 2009). These neuronal types are topographically arranged within the PPTg: cholinergic neurons are densely packed in the posterior portion and sparse in the anterior region; the opposite pattern is seen in GABAergic neurons, while glutamatergic neurons are relatively equally distributed along the anterior–posterior axis. Studies assessing PPTg function typically create lesions of the region with excitotoxic agents, or temporary inactivation through GABAergic or lidocaine-based mechanisms. While valuable, these techniques offer no selectivity for the neuronal sub-population targeted within the PPTg, which limits the interpretation of the observed effects. Cholinergic neurons within the PPTg selectively express the receptor for the peptide urotensin II (Clark et al. 2001). The genetic fusion of urotensin II (UII) and the ribosome inactivating protein diphtheria toxin (Dtx) creates a recumbent protein toxin (Dtx-UII) which, when directly infused into the PPTg, selectively destroys cholinergic neurons (Clark et al. 2007). Using this toxin, it has recently been found that the deficits in sensorimotor gating (measured with prepulse inhibition) following excitotoxic damage to the PPTg are not present after selective depletion of the cholinergic neuronal sub-population (MacLaren et al. 2014a). Here, we used this toxin to assess specifically the contributions of cholinergic neurons within pPPTg to instrumental learning and the locomotor response to systemic nicotine. In experiment 1, rats were tested in an exact replication of the instrumental learning protocol in which we demonstrated a persistent learning impairment after excitotoxic lesion of pPPTg (Wilson et al. 2009). In experiment 2, the rate and extent of locomotor sensitization to repeated systemic nicotine were assessed in a replication of the protocol used by Alderson et al. (2008), which found altered sensitization in excitotoxic pPPTg-lesioned rats.
Experiment 1: Instrumental learning and performance after selective depletion of cholinergic pPPTg neurons
Methods
Subjects
Twenty-four adult male Lister-Hooded rats (Harlan Olac Ltd, Bicester, UK) were used in this experiment, with a mean pre-surgery weight of 326 g. Rats were pair housed in temperature- and humidity-controlled environment and kept on a 12 h light/dark cycle (lights on 7AM, testing carried out in the light phase). Water was always freely available in the home cage. Three days prior to behavioral testing, food was restricted to 17–19 g/rat/day standard laboratory chow; rats’ body weights were monitored to ensure that they did not fall to below 85 % free food weight at any point in the experiment. Compliance with the Animals (Scientific Procedures) Act 1986 and European Communities Council Directive of 24/11/86 (86/609/EEC) was maintained throughout these experiments.
Surgery
Rats were anesthetized with isoflurane (IsoFlo, Abbot Laboratories Ltd, Maidenhead, UK) in an induction box (0 % stepped up to 5 % isoflurane, 4 l/m O2) before being transferred to a David Kopf stereotaxic frame where anesthesia was maintained through a facemask (2–3 % isoflurane, 1.2–1.4 l/m O2). The non-steroidal anti-inflammatory analgesic carprofen (0.05 ml/rat; 5 % w/v; Rimadyl Pfizer Ltd, Kent, UK) was administered subcutaneously before the scalp was shaved and a midline incision made. The incisor bar of the stereotaxic frame was adjusted such that the angle between the incisor bar and the interaural line was 8°29′, achieved by multiplying the distance between the IAL and the back of the incisors by the sine of 8°29′ as described by Whishaw et al. (1977). Two craniotomies were made to allow infusion into the pPPTg at the co-ordinate: −0.8 mm from IAL; ±1.9 mm from midline; −6.5 mm from dura. Dura was cut with the bent tip of a 30 ga needle. In the lesion group, rats (n = 16) received 300 nl of 3 % Dtx-UII (toxin kindly gifted from SD Clark, SUNY University at Buffalo, Buffalo, NY, USA). In the sham group (n = 8), rats received the vehicle solution (sterile PB). Infusion was made from a hand-drawn glass pipette (tip 40–50 µm) connected by polythene tubing (containing air) to a 10 ml syringe where pressure was applied by hand. The pipette was left in situ for 5 min after infusion to allow for diffusion from the tip. Both hemispheres were infused in the same surgical procedure, with the order of first infusion side counterbalanced (unlike bilateral ibotenic acid lesions of the pPPTg which are normally performed in two separate procedures to reduce post-surgery mortality rate; in our experience, recovery complications are not a concern with Dtx-UII infusions). The wound was closed with Michel clips and, once removed from the frame, rats were treated with an intraperitoneal injection of 1 mL Hartmann’s solution (Baxter Healthcare Ltd, Norfolk, UK) to aid recovery. Once fully recovered, rats were returned to their home cages. Previous studies have shown that the Dtx-UII lesion is not fully complete until 21 days post-surgery (Clark et al. 2007). During this period no behavioral testing was conducted and rats were monitored daily for signs of ill health and bodyweight change.
Behavioral testing
The behavioral testing protocol was an exact replication of our previous study with ibotenic acid lesions (Wilson et al. 2009). Testing was conducted in operant chambers individually housed in sound-attenuating boxes (Med-Associates, St Albans, Vermont, USA), monitored and controlled by a computer running Med-PC software (Med-Associates, St Albans, Vermont, USA). Each operant chamber had two retractable levers either side of a pellet dispenser. One of the levers had a light above it and there was a houselight on the opposing wall. Three days prior to operant testing, rats were food restricted to 17–19 g laboratory chow per day. To allow familiarization with the reward pellet and testing environment, rats were given a single session where 40 pellets (Test Diet purified rodent tablet 5TUL, Sandown Scientific, Middlesex, UK) were freely available in the operant box pellet dispenser. In an attempt to reduce possible latent inhibition, the levers were not extended, the sound-attenuating doors were left open and rats were removed once they had consumed all pellets (approximately, 20 min).
Rats were then tested daily in 40 min testing sessions where pressing one lever the correct number of times led to a pellet being delivered; pressing the other lever was monitored, but had no programmed consequence. At the start of the testing session both levers were extended and the houselight illuminated. Initially, rats were trained on fixed ratio 1 (FR1) where one press on the correct lever (side counterbalanced across rats) triggered pellet delivery and simultaneous illumination of the lever light. This light remained illuminated for 10 s and during this time (defined as the inter-trial interval: ITI) pressing on the correct lever had no consequence. After the 10 s ITI, the lever light was extinguished and the next trial began. Rats were advanced through a variety of FR and variable ratio (VR) testing schedules (see Table 1) depending on their individual performance. A trial in each session followed the same format, except that correct presses up to the final press in the schedule had no consequence. In the extinction schedules the trials were programed in the format of VR30, but no pellets were delivered.
Throughout all sessions all lever presses and approaches to the food hopper were recorded, allowing the following behavioral measurements to be calculated: pressing—the total number of presses on the correct lever during a schedule (not including ITI presses); incorrect pressing ratio (the ratio of incorrect:correct presses); late pressing ratio, the ratio of (presses on the correct lever between reward delivery and approach to the food hopper:pressing); reward collection latency (latency to collect the pellet after delivery); early pressing ratio, the ratio of (correct lever presses between reward collection and the start of the next trial:pressing); post-reinforcement pause (latency from the start of the trial to first lever press).
Histology
Rats were administered an intraperitoneal injection of Dolethal (0.6 ml per rat; 200 mg/ml; sodium pentobarbitone; Univet Ltd, Oxford, UK) and, once deeply anaesthetized, transcardially perfused with phosphate-buffered saline followed by at least 300 ml fixative (4 % paraformaldehyde in 0.1 M phosphate buffer). Brains were removed and stored in 20 % w/v sucrose solution in 0.1 M PB and once sunk, were cut on a freezing microtome. Coronal 30 µm sections were taken from the anterior facial nerve through to substantia nigra. A 1:4 series of parallel sections were immunohistochemically processed free floating for either: (1) neuron-specific nuclear protein (NeuN), using mouse derived anti-neuronal nuclear protein monoclonal antibody (Chemicon International Inc, Temecula, CA, USA), a Vector Labs Elite ABC kit (Vector Labs, Peterborough, UK) and Sigma Fast DAB peroxide for final substrate before being mounted onto slides and cresyl violet counterstained; or (2) choline acetyltransferase (ChAT) using goat-derived anti-ChAT polyclonal antibody (Chemicon International Inc, Temecula, CA, USA), Vector Labs Elite ABC kit and DAB peroxide final stain.
Lesion analysis
Sections were viewed under a light microscope (Leica DM LB2) with a high-resolution camera (Leica DFC320) connected to a computer for image capture. The pPPTg was defined as the region of PPTg comprising densely packed ChAT+ neurons posterior to the decussation of the superior cerebellar peduncle, corresponding to the region covering IAL +0.12 mm through to IAL +1.08 mm on the atlas of Paxinos and Watson (2005). The aPPTg was defined as all ChAT+ PPTg neurons anterior to this division. This is the same delineation as used in previous studies (Alderson et al. 2006, 2008; Wilson et al. 2009; Maclaren et al. 2013) and broadly corresponds to the alternative nomenclature PPTg pars compacta (posterior) and PPTg pars dissipata (anterior) (Manaye et al. 1999). On the NeuN/cresyl slides, lesion extent was judged by lack of cell bodies and reactive gliosis. On these sections, a lesion was considered to be non-selective if there was evidence of areas with no cell bodies present. The PPTg is a heterogeneous collection of intermingled glutamatergic, cholinergic and GABAergic neurons (Wang and Morales 2009) with no region having solely cholinergic neurons. Therefore, even a total loss of cholinergic neurons will leave other populations intact which should be visible throughout all regions of the PPTg on the NeuN stain. The cholinergic lesion was quantified by counting ChAT+ cells within the PPTg. Each section through the anterior–posterior plane was photographed and subsequently loaded into the ImageJ program (ImageJ; US National Institutes of Health, Bethesda, MD, USA). Individual ChAT-positive cells were manually tagged using the cell counter plugin. The number of ChAT+ pPPTg neurons in each lesioned rat was then calculated as a percentage of the sham mean. A lesion was considered acceptable if <~80 % of ChAT+ pPPTg neurons were destroyed and there was no damage evident on the NeuN/cresyl sections.
Behavioral data analysis
Data were statistically analyzed using SPSS 18 for Windows (SPSS UK, Woking, Surrey, UK). For operant data, repeated measures ANOVAs were performed on each behavioral measure across day (schedule day; within-subjects factor) and between group (lesion, sham; between-groups factor). Latency data were SQRT transformed to correct for positive skew. Significant main effects and interactions were investigated with pairwise comparisons and univariate ANOVAs. Results were considered statistically significant when p ≤ 0.05.
Results: Experiment 1, instrumental learning and performance
Lesions
All rats recovered well from the surgical procedure. Eight rats which received Dtx-UII had selective bilateral lesions of pPPTg with no indication of non-selective damage on the NeuN-stained sections (Figs. 1, 2). Examination of the NeuN staining at the site of toxin infusion and along the posterior–anterior plane of the PPTg showed extensive NeuN+ staining throughout the region with no areas of visibly depleted neurons. Combined with the extensive ChAT+ cell loss and in line with previous studies (Clark et al. 2007; MacLaren et al. 2014b), this indicates that the toxin maintained high selectivity for the UII-R expressing cholinergic PPTg neurons. These lesions destroyed a mean of 93 % of ChAT+ pPPTg neurons (range 87.8–98.2 %). The remaining rats in the lesion group were excluded from all analysis due to having no clear sign of lesion (n = 2), unilateral or partially unilateral lesions (n = 4) or because of non‐selective damage (n = 4). There was no indication of lesion in any sham-treated rat.
During the 21-day lesion formation period, there were no indications of ill health in the lesion group, although lesioned rats did have a transient decrease in body weight (Fig. 3). A repeated measures ANOVA found a significant effect of day post‐surgery (F 19,25 = 35.72, p < 0.001), a significant effect of lesion group (F 1,13 = 8.17, p = 0.013) and a significant lesion group × day post‐surgery interaction (F 19,247 = 12.41, p < 0.001). Univariate ANOVAs investigating the interaction found lesioned rats had significantly reduced body weight (compared to shams) on days 6–15 (p < 0.05 in all cases).
Behavioral analysis
The primary question addressed was whether selective lesions of cholinergic pPPTg neurons caused impairment in operant learning. This was evaluated in two ways: first by performing an analysis of behavioral measures during initial operant learning of the FR1 schedule (Fig. 4) and then by analyzing behavioral changes in response to systematic increases in reinforcement schedules and during extinction (Figs. 5, 6, 7).
Learning of FR1
Selective lesions of cholinergic pPPTg neurons had no significant effect on the acquisition of FR1. The number of correct lever presses, reward collection latency and the post-reinforcement pause of sham and Dtx-UII-lesioned rats are shown in Fig. 4. For correct presses (Fig. 4a), repeated measures ANOVA showed a significant effect of session (F 2,26 = 100.38, p < 0.001), no significant effect of lesion group (F 1,13 = 1.94, p = 0.187) and no significant lesion group × session interaction (F 2,26 = 0.45, p = 0.643). Planned pairwise comparisons found that the overall rate of correct pressing in session 2 was higher than in session 1 (p < 0.001) and higher in session 3 than in session 2 (p = 0.001). Reward collection latency was unaffected by lesion: repeated measures ANOVA found a significant effect of session (F 2,26 = 181.00, p < 0.001), no significant effect of lesion group (F 1,13 = 0.163, p = 0.693) and no significant lesion group × session interaction (F 2,26 = 0.088, p = 0.916). Planned pairwise comparisons found that the overall reward collection latency in session 2 was lower than in session 1 (p < 0.01) and lower in session 3 than in session 2 (p < 0.001). Post-reinforcement pause was also unaffected by Dtx-UII pPPTg lesion: repeated measures ANOVA found a significant effect of session (F 2,26 = 118.04, p < 0.001), no significant effect of lesion group (F 1,13 = 1.58, p = 0.231) and no significant lesion group × session interaction (F 2,26 = 0.437, p = 0.651). Planned pairwise comparisons found that the overall post-reinforcement pause in session 2 was lower than in session 1 (p < 0.001) and lower in session 3 than in session 2 (p = 0.003). Taken together, these results show that both the sham and lesion groups learned to lever press on an FR1 schedule of reinforcement, and with no significant main effect of lesion group, or interactions involving group, it can be concluded that lesions of cholinergic pPPTg neurons had no significant effect on the learning of this simple FR1 schedule.
Learning of new fixed and variable schedules of reinforcement
Once rats had learned FR1, we advanced them through various fixed and variable ratio schedules of reinforcement (see Table 1). Lesions of cholinergic neurons within the pPPTg had no effect on the learning or performance of any of the schedules of reinforcement tested. Figure 5 shows the number of correct lever presses on the first and last day of each schedule, Fig. 6 the reward collection latency and Fig. 7 the post-reinforcement pause. For clarity, data are presented showing performance of sham and lesioned rats on the first and last day of each schedule. For correct presses (Fig. 5), repeated measures ANOVA found a significant effect of schedule (F 6.9,90.4 = 96.92, p < 0.001), no significant effect of lesion group (F 1,13 = 0.01, p = 0.924) and no significant lesion group × schedule interaction (F 6.9,90.4 = 0.96, p = 0.468). Planned pairwise comparisons investigating the effect of schedule found that the number of correct presses increased during FR5, VR5 and the switch to VR10 (p < 0.05 in all cases) and then remained unchanged until extinction. Lesions of cholinergic pPPTg neurons had no effect on the number of correct lever presses across these schedule changes. For reward collection latency (Fig. 5), repeated measures ANOVA found a significant effect of schedule (F 1.2,15.0 = 10.66, p = 0.004), no significant effect of lesion group (F 1,13 = 0.113, p = 0.743) and no significant lesion group × schedule interaction (F 1.6,15.0 = 0.17, p = 0.725). Planned pairwise comparisons investigating the effect of schedule found the reward collection latency changed significantly during extinction, but not during any other point prior to this. For post-reinforcement pause, repeated measures ANOVA found a significant effect of schedule (F 4.2,54.3 = 7.70, p < 0.001), no significant effect of lesion group (F 1,13 = 0.159, p = 0.697) and no significant lesion group × schedule interaction (F 4.2,54.3 = 1.44, p = 0.232). Planned pairwise comparisons investigating the effect of schedule found that the post-reinforcement pause decreased during FR5 and increased during the VR schedules (p < 0.05 in all cases). Separate analysis performed on all data (rather than the first and last day) produced the same main significant effects as the analysis reported here and no significant effects or interactions involving lesion group (data not shown). Combined, these results show that selective lesions of cholinergic PPTg neurons had no significant effect on the acquisition or performance of fixed and variable ratio schedules of reinforcement.
Experiment 2: Nicotine sensitization
Methods
Subjects
Twenty-four adult male Lister‐Hooded rats (Harlan Olac Ltd, Bicester, UK) were used in this experiment, with a mean weight of 355 g (range 331–389 g) at the time of surgery. Rats were pair housed in temperature- and humidity-controlled environment and kept on a 12 h light/dark cycle (lights on 7AM, testing carried out in the light phase). Food and water were always freely available in the home cage. Compliance with the Animals (Scientific Procedures) Act 1986 and European Communities Council Directive of 24/11/86 (86/609/EEC) was maintained.
Surgery
Lesion surgery was performed as described in Experiment 1. Sixteen rats received bilateral Dtx-UII infusions into the pPPTg, and 8 rats received sham (vehicle only) infusions into pPPTg.
Behavioral testing
Dtx-UII is a protein synthesis inhibitor-based toxin which, after entry into the cell, takes up to 21 days for cell death to occur (Clark et al. 2007). To ensure that the lesion was formed before testing began, behavioral testing began 21–24 days post-surgery. The behavioral testing protocol is a replication of the protocol previously used to assess nicotine sensitization in excitotoxic pPPTg-lesioned rats (Alderson et al. 2008). Locomotor testing was conducted in six perspex cages (45.7 × 24.1 cm) situated inside SmartFrame™ Cage Rack stations (LED rearing 7 × 15 High Density, Hamilton Kinder LLC, Poway CA, USA). These contained a 7 × 15 grid of infrared beams at the height of the rats’ body. All stations were interfaced with a computer system running “Motor Monitor” software (Hamilton Kinder LLC, Poway CA, USA) which recorded all beam breaks made in the cages. Daily testing sessions were 60 min long, conducted in a dimly illuminated room; each session had a proportionally equal number of sham and lesioned rats. Rats were given three habituation sessions where they were placed in the locomotor cages without any injections. This was followed by seven sessions where rats were injected with 0.9 % w/v saline (s.c.; 1 ml/kg) immediately prior to testing. After completing this habituation period, nicotine testing began. Nicotine sensitization was performed in a day‐on day‐off routine whereby rats received nicotine (s.c.; 0.4 mg/kg in 0.9 % saline; nicotine hydrogen tartrate, Sigma-Aldrich, UK; dose refers to salt) or saline (s.c.; 1 ml/kg, 0.9 % saline) on alternating days for 14 days. The order of testing was counterbalanced so that on any given day half the rats received nicotine and half saline. All injections were performed in a procedure room opposite the locomotor testing room: each rat was individually taken to the procedure room, injected, then taken to and placed in the locomotor testing cage, which started recording beam breaks immediately.
Behavioral data analysis
Data were analyzed using SPSS 18 for Windows (SPSS UK, Woking, Surrey, UK). For locomotor data the number of beam breaks per session was SQRT transformed to correct for positive skew in the data (identified by the Shapiro–Wilk test). Separate repeated measures ANOVAs were performed across days for the habituation and nicotine testing components of the experiment. Details of particular factors analyzed are reported in the corresponding results section. In the case of significant interactions, these were investigated with planned pairwise comparisons and univariate ANOVAs, where appropriate. Results were considered significant when p ≤ 0.05.
Lesion analysis
Seven rats had selective bilateral lesions of the cholinergic pPPTg. These lesions destroyed a mean of 89.5 % of ChAT+ pPPTg neurons (range 78.8–94.8 %; see Fig. 8) with no evidence of non‐selective damage on the NeuN/cresyl stain. Figure 9 shows photomicrographs from representative lesion and sham rats. The remaining rats in the lesion group were excluded from all analysis because of having unilateral lesions (n = 2), partial ChAT+ lesions (range ~34–70 % cell loss, n = 5) or non‐selective damage (n = 2).
Results: Experiment 2, nicotine sensitization
Habituation sessions
Selective lesions of cholinergic pPPTg neurons had no effect on baseline levels of spontaneous locomotion or habituation to the testing environment. The rate of locomotion during the habituation sessions (where rats had 3 sessions of no injections followed by 7 sessions with saline injections) is shown in Fig. 10. For beam breaks during the daily habituation sessions, a repeated measures ANOVA found a main effect of session (F 6.41,83.40 = 6.46, p < 0.001) but not group (F 1,13 = 0.63, p = 0.44) and no session × group interaction (F 6.41,83.40 = 1.27, p = 0.28). Restricted planned pairwise comparisons found that sessions 1, 2 and 3 differed from some, but not all, later sessions (1 from 6 to 8; 2 and 3 from 8) and that from session 4 onwards there were no differences between sessions.
Nicotine sessions
Nicotine testing sessions
Selective lesions of cholinergic pPPTg neurons also had no effect on nicotine-induced locomotor changes or the rate of nicotine sensitization. Figure 11 shows the mean number of beam breaks during the nicotine and saline testing sessions. Repeated measures ANOVA found a significant effect of session (F 6,78 = 27.39, p < 0.001), a significant effect of drug (F 1,78 = 4.58, p = 0.05) and a drug × session interaction (F 6,78 = 44.52, p < 0.001) and that all effects involving lesion group were non-significant [group (F 1,13 = 0.58, p = 0.46); drug × group (F 1,78 = 2.76, p = 0.121); group × session (F 6,78 = 1.75, p = 0.122); drug × group × session (F 6,78 = 0.76, p = 0.601)]. Restricted Bonferroni corrected paired sample t tests comparing the effect of nicotine and saline during each session found that during the first session, both the lesion and sham groups displayed hypolocomotion (sham t7 = −4.82, p = 0.014; lesion t6 = −8.56, p < 0.01) which developed into hyperlocomotion during the later testing sessions (sham session 5: t7 = −6.33, p < 0.01; lesion session 6: t6 = −6.10, p = 0.007). These results show that both groups displayed a sensitized response to repeated systemic nicotine administration and that selective lesions of cholinergic pPPTg neurons did not alter this.
Discussion
Summary
These experiments examined in rats the effects of lesions of cholinergic neurons within the posterior pedunculopontine tegmental nucleus (pPPTg—also described as PPTg pars compacta) on instrumental learning and nicotine sensitization. Selective depletion of cholinergic PPTg neurons was achieved using the fusion toxin Dtx-UII (Clark et al. 2007) (Figs. 1, 2, 8, 9). Behavioral testing in the instrumental learning and performance experiments consisted of assessing the ability to learn fixed and variable ratio schedules of reinforcement for food pellet reward. This experiment was a replication of our previous study which showed that rats bearing excitotoxic (ibotenic acid) lesions of pPPTg were persistently impaired in learning every schedule of reinforcement tested and, once having learned the schedules, displayed behavioral changes during performance of them (Wilson et al. 2009). In contrast to this, selective depletion of cholinergic pPPTg neurons caused no measurable effect on any aspect of learning or performance across all schedules tested (Figs. 4, 5, 6, 7, Table 2). The second experiment examined (in separate rats) the rate of locomotor sensitization to repeated systemic nicotine following selective depletion of cholinergic pPPTg neurons. The experimental protocol was a replication of previous work in our laboratory showing enhanced sensitization to systemic nicotine following excitotoxic lesion of the pPPTg. Mirroring the excitotoxic lesion, Dtx-UII lesions had no effect on baseline levels of spontaneous locomotion (Fig. 10). However, in contrast to the excitotoxic lesion, Dtx-UII lesions had no effect on the rate of sensitization to repeated systemic nicotine (Fig. 11).
Neuronal subtypes affected by lesion techniques
The key difference between this study and the previous reports is that the previous reports used techniques which non-selectively targeted all neuronal types within PPTg, whereas in this current work Dtx-UII caused selective and extensive depletion of the cholinergic neuronal sub-population. The PPTg is a heterogeneous collection of interdigitated cholinergic, glutamatergic and GABAergic neurons (Wang and Morales 2009). These neuronal types are not equally distributed: in the posterior PPTg, there are more glutamatergic than cholinergic neurons, with the GABAergic population being the smallest population. In the anterior PPTg, the GABAergic population is the largest, glutamatergic second largest and cholinergic population the smallest. Previously, experimental work on laboratory animals assessing PPTg function has typically used excitotoxic agents to create lesions, or GABA agonists such as muscimol to induce transient inactivation. Excitotoxic agents bind to NMDA channels and lock them open, causing unregulated calcium influx which rapidly becomes neurotoxic (Berdichevsky et al. 1983). While these agents are selective for neurons (unlike electrolytic lesions which also destroy fibers of passage) they are not selective for the type of neuron they target. The mechanism of action of muscimol (activation of inhibitory GABA receptors) also, in this region of brain, has no selectivity for the neuronal subtype targeted. In contrast to this, Dtx-UII targets cells which express the receptor for the peptide urotensin II, which, within the mesopontine tegmentum, is selectively expressed by cholinergic neurons (Clark et al. 2001). Furthermore, not only does Dtx-UII selectively target the cholinergic neuronal sub-population, but it results in more extensive cell loss within this population than generally experienced with the use of excitotoxic agents. For example, in the instrumental learning experiment here, cholinergic cell loss was 93 %, but in our previous study using the same paradigm with ibotenic lesions, cholinergic cell loss in the pPPTg was only 64 % (Wilson et al. 2009).
Relation to previous work: instrumental learning and performance
There is an extensive body of literature showing deficits in learning and performance of goal-directed tasks following excitotoxic lesion of the PPTg. Rats bearing bilateral lesions of the whole PPTg (anterior and posterior) are impaired at learning to navigate a maze for food reward (Dellu et al. 1991) and at the delayed spatial win shift radial maze task (Keating and Winn 2002). Likewise, excitotoxic PPTg-lesioned rats are impaired at acquiring normal lever pressing for intravenous self-administration of d-amphetamine (Alderson et al. 2004) and heroin (Olmstead et al. 1998) and do not form conditioned place preference to morphine or amphetamine (Bechara and Vanderkooy 1989; Olmstead and Franklin 1994) [although, interestingly, the same lesions do not block cocaine-conditioned place preference (Parker and van der Kooy 1995)]. These learning deficits are not the result of altered reward perception or reduced motivation—performance of lesioned rats increases when reward value is increased (Taylor et al. 2004; Ainge et al. 2006), and if the task is learned prior to surgery, PPTg-lesioned rats have identical levels of responding as sham controls (Alderson et al. 2004). More recently, the learning impairment has been shown to be a result of loss of posterior, but not anterior PPTg (Wilson et al. 2009) and furthermore to be specifically a deficit in the updating of goal-directed action–outcome associations (Maclaren et al. 2013). These studies implicate disrupted input to midbrain DA systems as being the core reason for learning impairment after PPTg manipulation. Midbrain DA neurons switch from a tonic to a phasic firing pattern in response to an unexpected reward, or stimuli that predict an expected reward (Schultz 1998, 2010). This firing pattern (described as the reward prediction error signal, or alternatively sensory prediction error signal) is crucial for normal instrumental learning (Redgrave et al, 2008; Zweifel et al. 2009). The switch in firing patterns is critically dependent on cholinergic input—it does not happen in the absence of functioning acetylcholine receptors (Maskos et al. 2005; Maskos 2007, 2008; Steidl et al. 2011). The PPTg sends extensive excitatory glutamatergic and cholinergic innervation to midbrain DA neurons (Mena-Segovia et al. 2008b) and is able to switch the firing pattern of these neurons from tonic to phasic (Lodge and Grace 2006; Chen and Lodge 2013). PPTg neurons are known to encode non-physical aspects of sensory stimuli such as salience and reward prediction and, crucially, to do this at a shorter latency than midbrain DA (Okada et al. 2009; Thompson and Felsen 2013). This has led to the hypothesis that PPTg may provide crucial information required for generating the reward prediction error signal (Kobayashi and Okada 2007; Okada and Kobayashi 2013). This interpretation is entirely consistent with the finding that in trained rats, inactivation of PPTg has no effect on baseline firing of midbrain DA neurons, but selectively silences the phasic firing in response to reward-predicting stimuli (Pan and Hyland 2005). Previously, it has been shown that selective loss of cholinergic PPTg neurons has no effect on the continued performance of a drug self-administration task learned prior to lesion surgery (Steidl et al. 2014). Our current results show that normal instrumental learning can occur in the absence of cholinergic input from pPPTg to midbrain DA neurons. Two interpretations emerge from this. The first is that a functioning cholinergic pPPTg has no role in normal instrumental learning and therefore absence of functioning cholinergic PPTg has no impact on this behavior. The second interpretation is that a functioning cholinergic pPPTg may contribute to instrumental learning, but in its absence compensatory mechanisms allow this to continue despite a reduction in input. While cholinergic innervation of midbrain DA is essential for normal firing patterns, the loss of pPPTg will not lead to a total loss of cholinergic input to any midbrain sub-region. In the case of the VTA (particularly involved in instrumental learning), the loss of pPPTg will reduce the numbers of cholinergic neurons projecting to VTA by only around 26 % (numbers used for calculation taken from: Wang and Morales 2009). Whichever of these explanations is correct, the key finding is that instrumental learning can occur in the absence of a functioning cholinergic pPPTg, but cannot occur normally after lesion or inactivation targeting all neuronal types within pPPTg. The most parsimonious interpretation of this difference is that the non-cholinergic pPPTg is critically involved in normal instrumental learning—without it, this process is severely disrupted.
Relation to previous work: nicotine sensitization
Repeated systemic administration of nicotine causes reliable, dose-dependent locomotor sensitization. The first administration of nicotine induces locomotor depression which, over a period of re-administration (the speed of which depends on dose), develops into hyperlocomotion (Benwell and Balfour 1992). This effect is believed in part to be mediated via activation and subsequent up-regulation of nAChRs on VTA DA neurons (Reavill and Stolerman 1990; Vezina et al. 2007; Govind et al. 2009). However, nicotine also activates nAChRs on VTA glutamatergic (Grillner and Svensson 2000) and GABAergic neurons (Mansvelder et al. 2002). It has been proposed that nicotine has a prolonged action on glutamatergic VTA neurons which in turn increases glutamate-driven VTA DA activation, while the action on GABAergic (inhibitory) VTA neurons has been shown to be short transient activation followed by prolonged desensitization leading to depression of inhibition (Mansvelder et al. 2002). Therefore, the action of nicotine in the VTA is more complex than simply acting directly upon DA neurons and driving DA output, but instead may involve several parallel events: immediate excitatory action on DA neurons, prolonged activation of DA neurons mediated by glutamatergic activity and additional persistent depression of inhibitory GABAergic input, with the net result being rapid and sustained increase in mesoaccumbens DA levels. Excitotoxic lesions of the pPPTg alter the locomotor response to nicotine (Alderson et al. 2008). The initial hypolocomotion seen in sham animals was absent and the rate of subsequent hyperlocomotion accelerated. One interpretation of this effect is that the pPPTg-lesioned rats had an enhanced rate of sensitization, a consequence of up-regulation of VTA nAChRs in response to the reduction in innervation arriving from the pPPTg, leading to a greater response when systemic nicotine acts on this system. A second interpretation is that nicotine has a direct action on the pPPTg, and loss of the pPPTg therefore changes the nicotinic response in a manner independent from direct alterations within VTA. There is some evidence to support the hypothesis that nicotine has an effect within PPTg. PPTg neurons express various nAChRs and systemic nicotine induces c-fos activation within the PPTg (Lanca et al. 2000). Interestingly, this activation appears to be almost exclusively within the non-cholinergic neuronal sub-populations. While there is less behavioral evidence to support the view that nicotine has a direct effect on PPTg neurons, one study reports that nicotine micro-infused directly into PPTg induces a significant conditioned place preference for nicotine rather than vehicle infusion (Iwamoto 1990). The results from our current study are not compatible with the hypothesis that the altered sensitization to nicotine following excitotoxic pPPTg lesions is a direct consequence of up-regulation of nAChRs within VTA. The cholinergic neuronal loss within PPTg in our study was higher than following excitotoxic lesion, yet there were no indications of altered sensitization to nicotine. Our results are compatible with the view that nicotine may have a direct effect on non-cholinergic PPTg, or that the altered sensitization following excitotoxic lesion is a result of disrupted signaling within VTA following combined loss of cholinergic and non-cholinergic PPTg.
Functionally dissecting the PPTg: cholinergic versus non-cholinergic PPTg systems
Previously, functionally dissecting the PPTg has focused on investigating the behavioral roles of the anterior and posterior PPTg components (Alderson et al. 2006, 2008; Wilson et al. 2009; Martinez-Gonzalez et al. 2011). In these current studies, we have undertaken a different approach and attempted to examine the functions of one neuronal population within PPTg. While the cholinergic and non-cholinergic neurons appear to innervate very similar structures (Hallanger and Wainer 1988; Semba and Fibiger 1992; Mena-Segovia et al. 2008a; Kita and Kita 2011), the profile of these projections is very different. Single cholinergic PPTg neurons are known to send massively bifurcated projections, whereby one single neuron targets multiple efferent structures (Jourdain et al. 1989; Semba et al. 1990; Losier and Semba 1993; Dautan et al. 2014). In contrast to this, the non-cholinergic projections, despite innervating the same regions, appear to form far simpler projections whereby one neuron targets only one or two efferent regions (Mena-Segovia et al. 2008a). Furthermore, while there are relatively few studies analyzing the relative densities of cholinergic versus non-cholinergic projections to target regions, where these have been studied (VTA and STN), it appears that in terms of number of projecting neurons there are more non-cholinergic than cholinergic neurons innervating target regions (Wang et al. 2010; Kita and Kita 2011). Given the apparent different projection patterns in the presence of similar projection regions, it is interesting to speculate what the different functions of the cholinergic and non-cholinergic projections may be. Cholinergic PPTg neurons have a long association with involvement in behavioral state control. While the PPTg is not essential for normal sleep (Deurveilher and Hennevin 2001), cholinergic PPTg neurons do change their activity across sleep–wake transitions (Ros et al. 2010), are most active during wake and REM states, and are linked to changes in cortical EEG (Mena-Segovia and Bolam 2011). The cholinergic PPTg neurons, sending relatively sparse yet diverse innervation to numerous efferent regions, seem ideally suited to be coordinating synchrony across multiple brain regions and/or to be involved in integrating information across regions. In contrast, the non-cholinergic PPTg, particularly the glutamatergic component, is ideally suited to send rapid excitatory input to a subset of target regions. This interpretation is also consistent with the results from our current studies. The instrumental learning task we used is relatively straightforward: despite having high and variable schedules of reinforcement, it involves little complexity beyond association formation and adjusting levels of lever pressing. Learning of goal-directed operant tasks is critically dependent on basal ganglia and midbrain DA systems, but can be acquired normally despite large lesions of, for example, hippocampal and entorhinal circuitry (Corbit and Balleine 2000; Reichelt et al. 2011). This supports the view that a disruption in integration of information across circuitry outside basal ganglia could have little impact on standard operant learning. Operant learning, however, is critically dependent on accurate rapid processing of sensory input and the ability to attribute non-physical properties (such as salience) to these stimuli. This process is dependent on a functioning non-cholinergic PPTg (Alderson et al. 2004; Wilson et al. 2009). It would be of interest to test this working hypothesis of the function of cholinergic PPTg by assessing the effects of loss of cholinergic PPTg neurons in behavioral tasks with a considerably stronger reliance on multi-modal integration of information—for example, context-dependent instrumental learning (Corbit and Balleine 2000; Reichelt et al. 2011), occasion setting (Reichelt et al. 2011) or cue-driven behavioral changes, which are known to be highly susceptible to cholinergic manipulation (Palmatier et al. 2006; Farquhar et al. 2012). Consistent with this hypothesis, loss of cholinergic PPTg neurons reduces the number of correct responses and increases the variability in response latency during performance of the cue-driven 5-choice serial reaction time task (5-CSRTT) assessment of sustained attention (Cyr et al. 2014).
Conclusions
We assessed the involvement of cholinergic neurons within the pPPTg in operant learning and nicotine sensitization. Lesions of cholinergic pPPTg neurons, created with Dtx-UII, were highly destructive to this neuronal population (~90 % cell loss). These lesions had no effect on instrumental learning or the rate of nicotine sensitization—two behaviors which are severely and persistently affected by lesions of all neuronal types within pPPTg. Our results strongly implicate the role of the non-cholinergic PPTg in these behaviors and highlight the importance of not attributing the deficits observed after excitotoxic manipulation of this region solely to loss of cholinergic neurons.
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Acknowledgments
This work was supported by a Wellcome Trust grant (081128/Z/06/Z) to PW and a studentship from the School of Psychology and Neuroscience, University of St. Andrews, to DAAM. We would like to thank Dr. Stewart Clark (University at Buffalo, Sate University of New York) for kindly providing the Dtx-UII, Mary Latimer and Dr. Morag Farquhar for histological assistance and advice, and Dr. Nadine Gut and Nicholas Scott for assistance in behavioral testing.
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MacLaren, D.A.A., Wilson, D.I.G. & Winn, P. Selective lesions of the cholinergic neurons within the posterior pedunculopontine do not alter operant learning or nicotine sensitization. Brain Struct Funct 221, 1481–1497 (2016). https://doi.org/10.1007/s00429-014-0985-4
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DOI: https://doi.org/10.1007/s00429-014-0985-4