Abstract
Electrophysiological recording procedures were used to examine nucleus accumbens (Acb) cell firing in rats trained to press a lever on a multiple schedule [ fixed ratio (FR)1, FR1] for either two “natural” reinforcers (food and water), or a natural reinforcer and intravenous self-administration of cocaine. Of 180 cells recorded during water and food reinforcement (n = 13 rats), 77 neurons were classified as phasically active, exhibiting one of three well-defined types of patterned discharges relative to the reinforced-response (Carelli and Deadwyler, 1994). Of the 77 phasic cells, the majority (68%) showed similar types of patterned discharges across the two natural reinforcer conditions. In contrast, of 127 neurons recorded during water and cocaine reinforcement (n = 8 rats), only 5 of 60 phasically active cells (8%) exhibited similar types of patterned discharges relative to water- and cocaine-reinforced responding. The remaining 55 phasic cells (92%) displayed patterned discharges relative to the cocaine-reinforced response (n = 26 cells), or relative to the water-reinforced response (n = 29 cells), but not both. For some rats (n = 3), food was substituted for water in the task. Again, the majority of phasic neurons (13 of 14 cells, 93%) exhibited nonoverlapping firing patterns across the drug and natural reinforcer conditions. These findings indicate that in the well-trained animal, cocaine activates a neural circuit in the Acb that is largely separate from the circuit that processes information about food and water reward.
Keywords: nucleus accumbens, reward, water, food, cocaine, self-administration
A fundamental issue in drug abuse research concerns how abused substances such as cocaine gain access to the brain “reward” circuit and lead to drug addiction. As stated byWise (1982, 1983, 1997), it is likely that the brain did not evolve to process information about abused substances. Instead, drugs of abuse likely “tap into” an existing neural circuit that normally processes information about natural reinforcers such as food, water, and sexual behaviors. In this regard, the nucleus accumbens (Acb) appears to be a key neural substrate through which natural reinforcers and abused substances exert their reinforcing actions (Di Chiara, 1995;Koob and Nestler, 1997; Bardo, 1998; Koob, 1998).
A number of studies support the importance of the Acb in mediating the rewarding properties of natural reinforcers (Hoebel, 1997; Salamone et al., 1997; Stratford and Kelley, 1997; Wise, 1998). For example, microdialysis and voltammetry studies in behaving rats have revealed significant increases in dopamine levels in the Acb during feeding, drinking, and sexual behaviors (Pfaus et al., 1990; Wenkstern et al., 1993; Di Chiara, 1995; Wilson et al., 1995; Richardson and Gratton, 1996; Taber and Fibiger, 1997). Likewise, feeding behavior has been induced in rats via microinfusion of non-NMDA glutamate receptor antagonists or GABA agonists into the shell region of the Acb (Kelley and Swanson, 1997; Stratford and Kelley, 1997; Stratford et al., 1998). Furthermore, electrophysiological studies in behaving animals showed patterned activation of Acb neurons relative to operant responding for juice reinforcement in monkeys (Bowman et al., 1996; Schultz et al., 1997; Hollerman et al., 1998; Schultz, 1998; Tremblay et al., 1998) and water reinforcement in rats (Carelli and Deadwyler, 1994).
Electrophysiological studies in behaving animals also support a role of the Acb in cocaine reinforcement (Carelli and Deadwyler, 1994, 1996,1997; Chang et al., 1994, 1998; Bowman et al., 1996; Peoples and West, 1996; Peoples et al., 1998). We previously reported that a subset of Acb neurons exhibits four types of patterned discharges relative to cocaine-reinforced responding (Carelli and Deadwyler, 1994). One neuronal cell type is observed only during cocaine self-administration [type PR+RF or “cocaine-specific” (CSp)]. The other three cell types are observed during either cocaine self-administration or water reinforcement and are categorized by cells showing an anticipatory increase in firing rate within seconds preceding the reinforced response (type PR), and by cells that are either excited (type RFe) or inhibited (type RFi) after response completion. The similarity in firing patterns across the two reinforcer conditions suggests that cocaine activates a neural circuit in the Acb that normally processes information about natural reinforcers. However, in the aforementioned study different Acb neurons were recorded during behavioral responding for water and cocaine. Therefore, it could not be definitively concluded that cocaine activates the same cells (i.e., the same circuit in the Acb) that normally process information about water reinforcement. To resolve this, two studies were completed that examined the activity of the same Acb neurons in rats responding on a multiple schedule for either two distinct natural reinforcers (water and food), or a natural reinforcer and intravenous self-administration of cocaine.
MATERIALS AND METHODS
Food and water reinforcement. Male, Sprague Dawley rats (Harlan Sprague Dawley, Indianapolis, IN), ∼90- to 120-d-old and weighing 275–350 gm were used as subjects (n = 13). Eight of 13 animals used here were previously implanted with microwire electrode arrays and tested during a multiple schedule for water and cocaine reinforcement (see below). For these subjects, training on the water/food multiple schedule began ∼7–10 d after the last water/cocaine experiment. Because it was possible that previous cocaine exposure could alter the responsiveness of Acb neurons, the remaining five animals were trained only on the multiple schedule for water and food reinforcement and had no previous exposure to cocaine. Results indicated no appreciable differences with respect to behavioral response patterns and types of neuronal firing patterns and therefore the data were pooled across all subjects. Animals were housed individually and maintained at no <85% of their preoperative body weight by regulation of food and water intake. Specifically, animals were given 10 ml of water per day (in addition to 1.0–1.5 ml of water consumed during the session) throughout the duration of the experiment. Food regulation consisted of ∼9 gm of Purina laboratory pellets per day during training, and this was gradually increased to 20 gm/d (in addition to 1.2–1.5 gm of food consumed during the session) as behavioral responding became stable.
Experimental sessions were conducted in a 43 × 43 × 53 cm Plexiglas chamber (Med Associates, St. Albans, VT) housed within a commercial sound-attenuated cubicle (Fibrocrete, Crandall, GA). One side of the chamber contained two retractable levers (Coulbourn Instruments, Allentown, PA) located 17 cm apart with a water trough between the levers (7 cm from each lever and 2.5 cm from the bottom of the chamber). The food dispenser was located on the same side as the levers and water trough, 1 cm to the right of the second lever (2.5 cm from the bottom of the chamber). Note that because there are only two levers in each chamber, the food-associated lever used here was originally associated with cocaine reinforcement for the eight animals with previous cocaine experience. However, different auditory cues were associated with water-, food-, and cocaine-reinforced responding (see below).
Rats were initially trained to press one lever on a fixed ratio 1 (FR1) schedule of reinforcement for 0.05 ml of water delivered via a fluid injection assembly (syringe pump) into a drinking spout. Water delivery was signaled by retraction of the lever (20 sec) and the onset of a clicking tone stimulus (10 clicks/sec: 80 dB, 800 Hz; 1 sec). Animals were then trained to press a second lever in the chamber (FR1) for food reinforcement (1 Noyes precision food pellet per response), signaled by a tone stimulus (72 dB, 800 Hz; 1 sec). Next, a multiple schedule of reinforcement was implemented in which animals had access to the water-reinforced lever (10–15 min), followed by a 20 sec time out period (no lever extended), and extension of the food-reinforced lever (10–15 min). Illumination of a cue light positioned 6.5 cm above each lever signaled the phase (water or food) of the multiple schedule. Observation of the animals during the experiments revealed that each rat turned toward the dispensers after completion of the operant response without locomoting around the chamber and consumed the reinforcer (typically within 0.5–1.0 sec). This behavior was typically observed from the first trial of each phase of the multiple schedule. The order of reinforcer availability (water or food) was varied across sessions such that the same reinforcer was not always given first every day. The same types of neuronal firing patterns were observed regardless of reinforcer order. Nevertheless, data included in the analysis were balanced such that half of the sessions began with water reinforcement, and the other half of the sessions began with food reinforcement.
Water and cocaine reinforcement. Animals (n= 8) were housed individually and maintained at no <85% of their preoperative body weight beginning 1 week after catheter implantation by regulation of food and water intake. Specifically, animals were given 10 ml of water (in addition to 1.0–1.5 ml of water consumed during the session) and 20 gm of Purina laboratory pellets each day for the duration of the experiment. Animals were surgically implanted with a catheter into their jugular vein and trained to self-administer cocaine, as previously described (Carelli and Deadwyler, 1994). Briefly, subjects were anesthetized with ketamine hydrochloride (100 mg/kg) and xylazine hydrochloride (20 mg/kg) and surgically implanted with a catheter into the jugular vein. The catheter was then routed subcutaneously to the back and attached to a coupling assembly. The fluid injection assembly (syringe pump) was connected to a swivel system in the experimental chambers, which enabled intravenous infusion of cocaine during self-administration sessions.
One week after catheter implantation, rats were trained to self-administer cocaine during 2 hr experimental sessions. The beginning of the session was signaled by the onset of a cue light positioned 6.5 cm above the lever and extension of a retractable lever. Lever depression on a FR1 schedule resulted in intravenous cocaine delivery (0.33 mg/infusion, dissolved in sterile heparinized saline vehicle) over a 6 sec period via a computer-controlled syringe pump (model PHM-100; Med Associates). Each drug infusion was signaled immediately by retraction of the lever (20 sec) and the onset of a tone stimulus (65 dB, 2900 Hz) presented over a 20 sec interval (14 sec beyond the pump duration). During the 20 sec postresponse interval, lever press responding had no programmed consequences.
After the onset of stable self-administration responding (2–3 weeks), animals were trained to press a second lever in the chamber for water reinforcement (0.05 ml/response, FR1). Water delivery was signaled by retraction of the lever (20 sec) and the onset of a clicking tone stimulus (10 clicks/sec; 80 dB, 800 Hz; 20 sec). Next, a multiple schedule of water and cocaine reinforcement was implemented. Animals had access to the water-reinforced lever for 10–15 min, followed by a 20 sec time out period (no lever extended), and extension of the cocaine-reinforced lever (2 hr). Illumination of a cue light above each lever signaled the phase (cocaine or water) of the multiple schedule. Observation of the animals revealed that each rat typically turned toward the water dispenser and immediately consumed the water reinforcer during the water reinforcement phase of the multiple schedule. During the cocaine reinforcement phase, animals typically completed a “burst” of responses at the start of the phase (termed “load-up” behavior) then exhibited stereotypic behavior characteristic of cocaine self-administration in rats (Carelli and Deadwyler, 1994). The order of reinforcer availability (water or cocaine) was varied across sessions as noted for experiment 1. Likewise, data included in the analysis were balanced such that half of the sessions began with water reinforcement, and the other half of the sessions began with cocaine reinforcement, similar to experiment 1.
After completion of the last experiment, food was substituted for water reinforcement in the task for three animals. Specifically, the animals were trained to respond on a multiple schedule (FR1, FR1) for food reinforcement (1 Noyes precision pellet per response) and cocaine (0.33 mg/inf) self-administration using the same parameters described for the water/cocaine multiple schedule.
Electrophysiological recordings. When behavioral responding was stable, animals were anesthetized with ketamine hydrochloride (100 mg/kg) and xylazine hydrochloride (20 mg/kg) and prepared for chronic extracellular recording in the Acb as previously described (Carelli and Deadwyler, 1994). Electrodes were custom-designed and purchased from a commercial source (NB Labs, Denison, TX). Each array consisted of “bundles” of eight microwires (50 diameter) arranged in three rows. The first row contained two wires with a tip separation of ∼0.25 mm. The second and third rows contained three wires (tip separation of ∼0.25 mm). The entire array spanned an approximate distance of 0.35–0.65 mm anteroposterior (AP) and 0.35 to 0.65 mm mediolateral (ML). Each array also contained a ground wire that was inserted 3–4 mm into the brain, ipsilateral to the array and ∼5 mm caudal to bregma. Arrays were permanently implanted bilaterally into the Acb [AP, +1.7 mm; ML, 1.5 mm; dorsoventral (DV), 6.0–7.5 mm, relative to bregma, level skull].
After electrode implantation, presurgical behavioral performance was reestablished (typically within 1 d), and neuronal activity was recorded during all subsequent behavioral sessions. Electrophysiological procedures have been described in detail previously (Carelli and Deadwyler, 1994, 1996; Carelli et al., 1999). Briefly, before the start of each session, the subject was connected to a flexible recording cable attached to a commutator (Med Associates), which allowed virtually unrestrained movement within the chamber. The headstage of each recording cable contained 16 miniature unity-gain field effect transistors (common mode rejection was 35 dB at the headset pins at 1 kHz measured in a test setup). Acb activity was typically recorded differentially between each active and the inactive (reference) electrode from the permanently implanted microwires. The inactive electrode was examined before the start of the session to verify the absence of neuronal spike activity and served as the differential electrode for other electrodes with cell activity. Online isolation and discrimination of neuronal activity was accomplished using a neurophysiological system commercially available (MNAP system; Plexon, Dallas, TX). Multiple window-discrimination modules and high-speed analog-to-digital signal processing in conjunction with computer software enabled isolation of neuronal signals based on waveform analysis. The neurophysiological system incorporated an array of digital signal processors (DSPs) for continuous spike recognition. The DSPs provided a continuous parallel digital output of neuronal spike events to a Pentium computer. A 486 computer controlled behavioral events of the experiment (Med Associates) and sent outputs corresponding to each event to the MNAP box to be time-stamped along with the neural data. The neurophysiological system has the capability of recording up to four neurons per microwire using real-time discrimination of neuronal action potentials. However, in the present study, typically one or two neurons were recorded per microwire (Chang et al., 1994; Nicolelis et al., 1997). Criteria for identifying different neurons on a single wire has been described in detail elsewhere (Chang et al., 1994; Nicolelis et al., 1997; Carelli et al., 1999; Nicolelis, 1999). Briefly, discrimination of individual waveforms corresponding to a single cell was accomplished using template analysis procedures or time-voltage boxes provided by the neurophysiological software system (MNAP system; Plexon). The template analysis procedure involves taking a “sample” of the waveform and building a template of that extracellular waveform. Subsequent neurons that “match” this waveform are included as the same cell. When using time-voltage boxes, a sample of the waveform is taken, then the experimenter superimposes two boxes onto it (typically one on the ascending limb and the other on the descending limb of the extracellular waveform). Subsequent sampled neurons are accepted as valid when they pass through both boxes. Neurons included in the analysis were recorded during one behavioral session per animal, however, there was one reported instance in which the same cell was recorded across 2 consecutive days. Criteria for identification of the same neuron across days included: (1) the cell was recorded from the same microwire across the 2 d, (2) the neuron exhibited the same waveform characteristics in terms of amplitude, duration, polarity, etc., and (3) the interspike interval was similar across the 2 d (Nicolelis et al., 1997; Chang et al., 1998; Carelli et al., 1999). The parameters for isolation and discrimination of single-unit activity were determined and saved using the neurophysiological software and modified before each session as needed, for example, to discriminate “new” neurons that appeared on a given microwire electrode, or to change the inactive electrode.
Data analysis. Neural activity was characterized via raster displays and perievent histograms (PEHs) showing the activity of each cell during a 20 sec time interval that bracketed the water-, food-, or cocaine-reinforced lever press. Types of patterned discharges (termed PR, RFe, RFi, and PR+RF) have been described in detail previously and were characterized by differential mean firing rates within four time epochs in each PEH (Carelli and Deadwyler, 1994). The four time epochs within each PEH were (1) “baseline”, defined as the time period (−10 to −7.5 sec) before the initiation of the reinforced lever press response; (2) “response”, defined as the time period (−2.5 to 0 sec) immediately before and during the execution of the reinforced response; (3) “reinforcement”, defined as the time period (0 to +2.5 sec) immediately after the response; and (4) “recovery”, defined as the time period (+7.5 to +10 sec) after the reinforced response.
Criteria for classifying each neuron into one of the four types of patterned discharges were as follows. A neuron was classified as type PR if it showed a 40% or greater increase in firing rate within a 1 sec period of maximal discharge during the response epoch only, compared to its respective baseline activity. If a neuron exhibited a 40% increase in activity that began in the response phase and extended without interruption into the reinforcement phase, it was also classified as a type PR neuron. A neuron was classified as type RFe if it showed a 40% or greater increase in cell firing within a 1 sec period of maximal discharge during the reinforcement phase only (i.e., short duration type RFe cells), or if it exhibited a 40% increase in firing during both the reinforcement and recovery phases (long duration type RFe cells), compared to its respective baseline activity. Neurons classified as type RFi had a 40% or greater decrease in firing rate within a 1 sec period during the response and/or reinforcement epoch, compared to its respective baseline firing rate. A neuron was categorized as type PR+RF if it displayed a 40% or greater increase in activity during a 1 sec period within both the response and reinforcement epochs (but not the recovery phase), compared to its respective baseline rate. In addition, neurons classified as type PR+RF had to exhibit an inhibition in activity to baseline levels between the two peak discharges. “Nonphasic” neurons exhibited similar firing rates across the four time epochs without the 40% changes in activity characteristic of the four types of patterned discharges described above.
Statistical confirmation of the above cell type classification was accomplished using a repeated-measures t test that compared mean peak (types PR, RFe, and PR+RF) or trough (type RFi) firing rates for all neurons of a given type, to their respective baseline rates. In addition, a repeated-measures t statistic was used to examine whether all neurons of a given cell type exhibited similar mean peak/trough changes in activity relative to the water- versus food-reinforced response (experiment 1).
Latency to onset of neuronal discharge for individual neurons was determined as follows. Mean firing rates were examined within consecutive 80 msec periods (bins) during the epoch in which the cell exhibited its peak or trough changes in activity. Latency of onset was defined as the first of three consecutive 80 msec bins in which firing rate consistently increased (for types PR, RFe cells) or decreased (for type RFi cells) by 40% compared to the respective baseline activity of each cell.
Population histograms of normalized cell firing were generated for all phasically active neurons during the 20 sec time interval that bracketed the water-, food-, or cocaine-reinforced response. Specifically, the neuronal firing patterns of all PR, RFe, RFi, and PR+RF cells recorded during the multiple schedule for water and food, or water and cocaine reinforcement were presented as composite PEHs summed over all cells of a specific type and normalized relative to the overall firing rate of each neuron. Normalization of cell firing allowed for an examination of changes in the activity of populations of cells regardless of differences in overall rates of firing between individual neurons (Carelli and Deadwyler, 1994).
Histology. After the completion of the last experiment, animals were anesthetized with sodium pentobarbital (50 mg/kg), and a 10 amp current passed for 6 sec through two recording electrodes (for two rats, three recording electrodes) in the array on each side of the brain. Microwires chosen for marking typically exhibited large isolated spikes and well-characterized firing patterns during a behavioral session. The rat was perfused with 10% formalin, and the brain was removed, blocked, and sectioned (40 μm) throughout the rostrocaudal extent of the Acb. Alternating sections were stained for either thionin or tyrosine hydroxylase. All sections were counterstained with Prussian blue to reveal a blue dot reaction product corresponding to the location of the marked electrode tip (Green, 1958; Carelli and Deadwyler, 1994). The procedure used to reconstruct electrode placements was as follows. Serial sections were examined under a light microscope, and the locations of marked electrode tips were plotted for all subjects on coronal sections taken from the stereotaxic atlas ofPaxinos and Watson (1997). Given the arrangement of our microelectrode array, unmarked wires were in close proximity to marked wires and were determined by estimation of termination of the microwire tracks in serial sections. The point at which the unmarked electrode track was at its most ventral position was plotted as the “estimated” placement. Position within the various regions of the Acb (core, shell, and rostral pole) and boundaries between these regions were determined by examination of marked and unmarked electrode tip locations in relation to: (1) the borders of the tyrosine hydroxylase stain at the level of the rostral pole and caudal Acb regions, (2) precise “landmarks” in the brain, for example, the anterior commissure, and (3) the anatomic arrangement of the Acb as depicted in the stereotaxic atlas of Paxinos and Watson (1997). Although it is difficult to establish a clear boundary between the core and the adjacent ventral portions of the caudate putamen (CPv) (Heimer et al., 1995), electrode tip placements were considered to be in the latter region (CPv) if they were within ∼0.8 mm dorsal to the borders of the Acb core outlined in Paxinos and Watson (1997). Although electrode placements were verified to be primarily in the Acb (see below), it was difficult to determine with 100% accuracy the one-to-one correspondence between electrode tip marking and cell type, therefore this issue was not addressed here.
RESULTS
Water and food reinforcement: behavioral performance
Figure 1 shows the behavioral (lever press) response pattern for a single, well-trained animal during the multiple schedule for water and food reinforcement. The cumulative record from time 0–600 sec shows the water reinforcement portion of the session in which the animal completed 25 reinforced responses with a mean intertrial interval (INT) of 22.73 ± 0.38 sec. This was followed by a 20 sec time out period (indicated by double line at time 600). The record for the remainder of the session shows the food reinforcement phase in which the animal completed 29 reinforced responses with a mean INT of 20.84 ± 0.06 sec. The similarity in behavioral responding across the two natural reinforcer conditions was evident across all animals (n = 13) and was observed regardless of the order of reinforcer in the session. In summary, the mean number of responses for all animals during water reinforcement was 28.20 ± 1.62 responses with a mean INT of 23.02 ± 1.06 sec. The mean number of responses during food reinforcement was 27.80 ± 1.56 responses with a mean INT of 24.80 ± 1.79 sec.
The majority of Acb neurons exhibit similar, overlapping neuronal firing patterns during water and food reinforcement
A total of 180 neurons were recorded during behavioral responding for water and food reinforcement. In general, cells fired at similar rates across the two natural reinforcer conditions (overall mean for water = 4.10 ± 0.53 Hz; overall mean for food = 4.11 ± 0.43 Hz). Of 180 neurons, 77 cells (43%) were classified as phasically active, exhibiting one of three types of neuronal firing patterns described in detail previously (Carelli and Deadwyler, 1994). Briefly, an increase in firing rate immediately before the reinforced lever press response designated some neurons as “preresponse” or PR cells. Other types of neurons exhibited excitation [type “reinforcement–excitation” (RFe)] or inhibition [type “reinforcement–inhibition” (RFi)] in firing rate immediately after the operant reinforced response. The remaining 103 neurons (57%) exhibited no change in firing rate (increase or decrease) relative to the water- or food-reinforced response [type “nonphasic” (NP)].
The first major finding of this report is that, of the 77 phasically active neurons, 52 cells (68%) exhibited similar types of neuronal firing patterns across the two natural reinforcer conditions. An example of a single Acb neuron with type PR activity across the two reinforcer conditions is shown in Figure2. The PEHs (left) show that the Acb cell exhibited anticipatory increases in firing rate relative to both the water- and food-reinforced response, characteristic of type PR cells. The raster display (right) shows the activity of the same Acb cell shown in the PEHs, across all trials of the session. During the water reinforcement phase (trials 1–22), the cell exhibited a robust increase in firing rate within 1 sec preceding all water-reinforced responses, with a marked decline in firing within 0.5 sec after response completion. During the food reinforcement phase (trials 23–44), the Acb cell continued to display type PR activity but also showed an overall increase in baseline firing rates from 0.13 Hz (water reinforcement phase) to 1.19 Hz (food reinforcement phase). Nevertheless, the Acb neuron maintained an anticipatory type PR firing pattern during food-reinforced responding, similar in amplitude and duration to that observed during the water reinforcement phase.
Neurons exhibiting increases in firing rate immediately after water- and food-reinforced responding (type RFe cells) could be divided into two groups. The first group (n = 11 cells) showed a prolonged increase in firing rate that began 1.19 ± 0.16 sec after the response for water and food and persisted 8.25 ± 0.25 sec. The second group (n = 7) exhibited a short-lasting increase in firing rate that began 0.62 ± 0.08 sec after the reinforced response and continued 1.06 ± 0.07 sec. An example of an Acb neuron displaying short-duration RFe cell firing across the two natural reinforcer conditions is shown in Figure3. During the food reinforcement phase (trials 1–29), the cell exhibited a robust increase in firing rate immediately after the response and lasting ∼1 sec, typical of type RFe activity. During the water reinforcement phase (trials 30–57), the cell had a similar postresponse increase in firing, followed by an inhibition in activity lasting ∼7.0 sec. Nevertheless, the Acb cell maintained the immediate postresponse discharge pattern characteristic of type RFe activity, similar to that observed during the food reinforcement portion of the session.
The third type of neuronal firing pattern was characterized by a marked inhibition in activity relative to background firing rates immediately before and after the response for water or food, characteristic of type RFi activity. The mean onset time of the response inhibition of RFi cells was 0.02 ± 0.07 sec before the water-reinforced response with a mean duration of 1.45 ± 0.10 sec. Likewise, the mean onset time of the response inhibition of RFi cells was 0.07 ± 0.11 sec before the food-reinforced response with a mean duration of 1.70 ± 0.11 sec. An example of a single Acb neuron with similar type RFi activity across the two natural reinforcer conditions is shown in Figure 4.
Mean firing rates for all neurons (n = 52 cells) exhibiting similar patterned discharges during the multiple schedule of water and food reinforcement are shown in Table1. Results indicate that the populations of neurons showed similar peak (types PR, RFe) and trough (type RFi) changes in firing rate across the two reinforcer conditions. This finding was statistically verified in that no significant differences in mean peak firing rates were observed for type PR (t= 0.04; p > 0.05) or type RFe (t = 0.77; p > 0.05) neurons across the two reinforcer conditions. Likewise, no significant differences were observed in mean trough firing rates for type RFi cells (t = 0.95;p > 0.05) relative to water- versus food-reinforced responding. The composite population PEHs in Figure5 show a summary of normalized firing of all neurons exhibiting similar types of patterned discharges across the two natural reinforcer conditions. Distinct anticipatory increases in firing can be seen for type PR cells that were similar across the two reinforcer conditions with respect to onset, duration, and relative amplitude in cell firing. The relative increase in type RFe cells during the water reinforcement phase of the multiple schedule was slightly attenuated but very similar to RFe activity exhibited by the same cells during the food reinforcement phase. Likewise, a third population of neurons classified as type RFi exhibited similar inhibitions in cell firing relative to water- and food-reinforced responding. Collectively, the composite PEHs show the similarity and the complementary nature of Acb cell firing across the two natural reinforcer conditions.
Table 1.
Epoch (sec) | Type PR (n = 12) | Type RFe (n = 18) | Type RFi (n = 22) | |||
---|---|---|---|---|---|---|
Water | Food | Water | Food | Water | Food | |
Baseline | ||||||
−10 to −7.5 | 4.27 ± 1.55 | 5.14 ± 1.41 | 2.79 ± 0.53 | 2.90 ± 0.61 | 5.41 ± 1.18 | 5.82 ± 1.19 |
Response | ||||||
−2.5 to 0 | 9.28 ± 2.49 | 9.33 ± 2.47 | 2.81 ± 0.49 | 2.74 ± 0.51 | 3.73 ± 0.78 | 4.85 ± 1.13 |
Reinforcement | ||||||
0 to 2.5 | 4.28 ± 1.43 | 4.39 ± 1.46 | 4.41 ± 0.65 | 4.75 ± 0.68 | 1.88 ± 0.39 | 2.36 ± 0.76 |
Recovery | ||||||
7.5 to 10 | 3.90 ± 1.54 | 4.65 ± 1.71 | 3.96 ± 0.81 | 4.11 ± 0.89 | 5.91 ± 1.29 | 6.38 ± 1.28 |
Boldface type denotes significant difference (p < 0.05) compared to baseline within the same cell type.
Of the 77 phasically active neurons recorded during the multiple schedule for water and food reinforcement, the remaining 25 phasically active cells (32%) showed one of the three aforementioned types of patterned discharges relative to reinforced responding for water and food, but not under both conditions. That is, of the 25 neurons, seven cells exhibited either type PR, RFe, or RFi activity relative to the water-reinforced response, but the same neurons exhibited nonphasic firing relative to the food-reinforced response. In contrast, 12 of the 25 phasically active cells exhibited patterned firing relative to the food-reinforced response and nonphasic activity relative to the reinforced response for water. The remaining six cells exhibited either type PR, RFe, or RFi activity relative to the water- and food-reinforced response, but not the same type of firing pattern across the two natural reinforcer conditions. No type PR+RF neurons were observed during the multiple schedule for water and food reinforcement.
Water and cocaine reinforcement: behavioral performance
Figure 6 shows the lever press response pattern for a well-trained animal responding on a multiple schedule for water and cocaine reinforcement. The cumulative record from time 0–10 min shows the water reinforcement portion of the session during which the animal completed 23 responses with a mean INT of 25.40 ± 1.59 sec. This was followed by a 20 sec time out period (indicated by double line in the record). The remaining record shows the cocaine self-administration portion of the session. The animal completed an initial burst of four responses (termed load-up behavior), followed by 14 regularly spaced responses with a mean INT of 6.45 ± 0.51 min. For all animals (n = 8), the mean number of responses for water reinforcement was 23.87 ± 0.91 with a mean INT of 37.12 ± 5.73 sec. The mean number of responses for cocaine reinforcement across all animals was 24 ± 1.80 with a mean INT of 4.78 ± 0.20 min. In sessions in which the cocaine self-administration phase preceded water reinforcement, animals typically paused after the time out phase for 12–20 min, and water-reinforced responding was sometimes more erratic compared to sessions in which water preceded cocaine.
The majority of Acb neurons exhibit differential, nonoverlapping firing patterns during water and cocaine reinforcement
A major finding of the present study was the lack of overlapping neuronal firing patterns relative to operant responding for water and cocaine. Specifically, a total of 127 neurons (n = 8 rats) were recorded during the multiple schedule for water reinforcement and intravenous self-administration of cocaine. In general, cells fired at lower rates during responding for cocaine (overall mean = 2.56 ± 0.36 Hz) compared to water (overall mean = 3.06 ± 0.33 Hz), consistent with previous findings (Carelli and Deadwyler, 1994). Of 127 cells, 60 (47%) exhibited patterned discharges relative to the water- or cocaine-reinforced response. However, of the 60 responsive neurons, only five cells (8%) showed similar patterned discharges relative to reinforced responding for water and cocaine. The remaining 55 neurons (92%) exhibited one of three types of patterned discharges (type PR, RFe, or RFi cells) relative to the water-reinforced response (n = 29 cells; Table 2), or one of four types of phasic firing patterns (type PR, RFe, RFi, or PR+RF cells) during the cocaine self-administration component of the multiple schedule (n = 26 cells; Table 3), but not both.
Table 2.
Epoch (sec) | Type PR (n= 14) | Type RFe (n = 9) | Type RFi (n = 6) | |||
---|---|---|---|---|---|---|
Water | Cocaine | Water | Cocaine | Water | Cocaine | |
Baseline | ||||||
−10 to −7.5 | 2.54 ± 0.68 | 1.99 ± 0.69 | 3.02 ± 0.39 | 1.42 ± 0.35 | 2.59 ± 0.83 | 0.88 ± 0.67 |
Response | ||||||
−2.5 to 0 | 6.30 ± 1.49 | 2.44 ± 0.84 | 2.53 ± 0.50 | 1.38 ± 0.29 | 1.75 ± 0.49 | 1.17 ± 0.69 |
Reinforcement | ||||||
0 to 2.5 | 2.98 ± 0.77 | 2.29 ± 0.85 | 5.77 ± 1.43 | 1.03 ± 0.51 | 0.96 ± 0.32 | 1.03 ± 0.51 |
Recovery | ||||||
7.5 to 10 | 2.37 ± 0.69 | 1.86 ± 0.74 | 4.64 ± 0.80 | 1.58 ± 0.33 | 3.31 ± 1.33 | 0.95 ± 0.62 |
Boldface type denotes significant difference (p < 0.05) compared to baseline within the same column.
Table 3.
Epoch (sec) | Type PR (n = 9) | Type RFe (n = 5) | Type RFi (n = 6) | Type PR+RF (n = 6) | ||||
---|---|---|---|---|---|---|---|---|
Water | Cocaine | Water | Cocaine | Water | Cocaine | Water | Cocaine | |
Baseline | ||||||||
−10 to −7.5 | 3.63 ± 1.54 | 1.85 ± 0.51 | 1.22 ± 0.45 | 1.67 ± 0.51 | 3.57 ± 1.43 | 3.09 ± 1.03 | 5.73 ± 2.70 | 2.18 ± 0.92 |
Response | ||||||||
−2.5 to 0 | 3.59 ± 1.52 | 5.04 ± 1.13 | 1.29 ± 0.49 | 1.97 ± 0.84 | 2.88 ± 0.89 | 3.22 ± 1.26 | 6.15 ± 3.87 | 5.16 ± 1.75 |
Reinforcement | ||||||||
0 to 2.5 | 3.15 ± 1.15 | 2.31 ± 0.71 | 1.29 ± 0.67 | 3.65 ± 0.80 | 2.60 ± 0.83 | 1.49 ± 0.61 | 5.03 ± 3.35 | 5.67 ± 2.18 |
Recovery | ||||||||
7.5 to 10 | 3.53 ± 1.62 | 1.42 ± 0.38 | 1.03 ± 0.43 | 1.30 ± 0.46 | 2.87 ± 0.92 | 2.93 ± 0.95 | 4.99 ± 3.09 | 2.07 ± 0.94 |
Boldface type denotes significant difference (p < 0.05) compared to baseline within the same column.
Patterned cell firing specific to water reinforcement
One population of neurons exhibited patterned discharges relative to the water-reinforced response, whereas the same neurons showed no change in activity from baseline firing rates during the self-administration portion of the multiple schedule. Figure7 shows an example of a single Acb cell that displayed differential activity relative to water- versus cocaine-reinforced responding. In this case, the same Acb cell was recorded across two consecutive sessions (days) thereby enabling an examination of the responsiveness of this neuron when the reinforcer order was reversed. The top two PEHs (labeled “Session 1”) show that the Acb neuron exhibited type PR activity relative to the water-reinforced response and nonphasic cell firing during cocaine self-administration. The corresponding rasters to the right show the activity of the same neuron in the PEHs, across all trials in the session. Note that the Acb cell exhibited patterned type PR activity across all trials of water-reinforced responding (trials 1–23) then shifted its activity from type PR to nonphasic (type NP) activity during the initial trials of cocaine-reinforced responding. The additional PEHs and rasters labeled “Session 2” show the activity of the same cell on the next day, when the animal responded for cocaine first, then water reinforcement during the multiple schedule. Note that the neuron continued to exhibit type NP firing during the cocaine self-administration phase, then shifted to type PR activity for the remainder of the session corresponding to the shift from cocaine to water reinforcement.
Table 2 summarizes the mean firing rates across the four analysis epochs for all neurons (n = 29 cells) with phasic cell firing relative to the water-reinforced response and nonphasic activity relative to the response for cocaine reinforcement. Note that the populations of neurons exhibited significant changes in cell firing relative to their respective baseline rates only during the water reinforcement phase of the multiple schedule. Nonphasic cell firing was observed for the same cells during the cocaine self-administration portion of the multiple schedule. This finding is illustrated in the composite PEHs in Figure 8, which summarize the normalized activity of all neurons exhibiting phasic cell firing specific to water-reinforced responding during the multiple schedule. Neurons displayed one of the three well-defined types of patterned discharges relative to the water-reinforced response (left). However, the same population of cells exhibited nonphasic activity relative to the cocaine-reinforced response (right).
Patterned cell firing specific to cocaine reinforcement
A second population of neurons exhibited the opposite pattern of activity during the multiple schedule for water and cocaine reinforcement. Specifically, this population of cells showed phasic firing relative to the cocaine-reinforced response, but nonphasic (type NP) activity relative to the reinforced response for water. An example of one Acb neuron exhibiting cocaine-specific patterned discharges is shown in Figure 9. The PEHs and corresponding raster displays show that the Acb cell exhibited type NP activity relative to the water-reinforced response (top) and type PR cell firing during the cocaine self-administration portion of the session (bottom).
Table 3 summarizes the mean firing rates across the four analysis epochs for all neurons (n = 26 cells) exhibiting phasic cell firing specific to cocaine self-administration behavior. This population of neurons exhibited not only type PR, RFe, and RFi activity, but also showed a fourth type of neuronal discharge previously termed “PR+RF” (Carelli and Deadwyler, 1994). PR+RF neurons have two distinct peaks in cell firing, one immediately preceding the reinforced response and terminating at response completion (like PR cells), and a second peak immediately after the response (like RFe cells) with an inhibitory period between the two peaks (like RFi cells). Of the 60 phasically active cells recorded, six neurons (10%) exhibited type PR+RF activity relative to the cocaine-reinforced response. However, the same neurons showed either type PR (n = 1 cell) or overall increased firing rates indicative of nonphasic activity (n = 5 cells) relative to the water-reinforced response during the multiple schedule. The composite PEHs in Figure 10 summarize the activity of all neurons exhibiting patterned discharges specific to cocaine-reinforced responding.
Acb neurons exhibit differential firing patterns during food and cocaine reinforcement
For some animals (n = 3), food was substituted for water reinforcement in the multiple schedule. Of 37 neurons, 14 cells (38%) were categorized as one of the four types of patterned discharges described above. Once again, the majority of phasically active neurons (13 cells, 93%) showed differential, nonoverlapping firing patterns across the two reinforcer conditions. The PEHs and raster in Figure 11 show an example of one Acb cell that exhibited differential activity during the multiple schedule for food and cocaine reinforcement. The cell displayed a robust increase in firing rate beginning ∼0.2 sec after the food-reinforced response and lasting ∼10 sec, characteristic of type RFe activity (trials 1–29). However, at the start of the self-administration phase of the multiple schedule, the same neuron exhibited an immediate shift in firing to a relatively low baseline rate and type NP activity that was maintained throughout all remaining trials of the session.
Histology
Detailed inspection of the brains of all 13 animals revealed that the microwire electrode arrays were positioned primarily in the rostral pole, core, and shell subregions of the Acb, as defined by Zahm and Brog (1992). However, for two of thirteen animals tested, microwires in one array per animal were not lowered to the appropriate ventral depth to be situated in the Acb, and were instead placed in the CPv. Therefore, of the 52 cells that exhibited similar types of neuronal firing patterns during the multiple schedule for food and water (experiment 1), four neurons were recorded from microwires clearly positioned in the CPv (n = 1 type PR cell, andn = 3 type RFi neurons; Table 1). Likewise, of the 60 phasically active neurons recorded during the multiple schedule for water and cocaine (experiment 2), six phasically active cells were recorded from microwires clearly positioned in the CPv. Of the six neurons, two cells were classified as type PR during the water portion of the multiple schedule (Table 2), whereas the remaining neurons showed phasic firing specific to the cocaine-reinforced response (n = 1 PR cell; n = 1 RFe cell;n = 2 RFi cells; Table 3). Bilateral electrode placements in the Acb (core, shell, and rostral pole) and CPv ranged from +1.00 to +2.70 mm anterior to bregma and from 0.40 to 2.4 mm lateral to the midline. Figure 12 shows the distribution of marked and estimated “unmarked” electrode placements across all animals (n = 13) on coronal sections of the stereotaxic atlas of Paxinos and Watson (1997).
DISCUSSION
The present findings show that in well trained animals cocaine activates a population of neurons in the Acb that are generally not responsive during operant behaviors for water and food reinforcement. This is consistent with a previous study in monkeys showing a dissociation between Acb patterned activity during responding for juice and cocaine (Bowman et al., 1996). However, the present study extends that report by showing that such a separation in Acb cell firing does not typically exist when animals respond on a multiple schedule for water and food reinforcement. These findings provide evidence that separate neural circuits in the Acb function to encode information about drug (cocaine) versus natural (food/water) reward. Furthermore, these results are consistent with studies showing that selective lesions and/or pharmacological manipulation of the mesolimbic system can alter cocaine self-administration but leave operant responding for natural reinforcers relatively unaltered (Caine and Koob, 1994; Glowa and Wojnicki, 1996; Weissenborn et al., 1997; Mello and Negus, 1998;Tran-Nguyen et al., 1999; Wojnicki et al., 1999).
Acb cell firing during responding for natural (water and food) reward
A number of studies indicate that the Acb is an important neural substrate mediating feeding and drinking behaviors (Hoebel, 1997;Salamone et al., 1997; Stratford and Kelley, 1997; Rada et al., 1998;Wise, 1998). For example, feeding behavior in rats has been induced via microinfusion of dopamine, non-NMDA glutamate receptor antagonists or GABA agonists into the shell region of the Acb (Kelley and Swanson, 1997; Stratford and Kelley, 1997; Swanson et al., 1997; Stratford et al., 1998). In addition, microdialysis and voltammetry studies revealed significant increases in dopamine levels in the Acb during feeding and drinking in rats (Pfaus et al., 1990; Wenkstern et al., 1993; Di Chiara, 1995; Wilson et al., 1995; Taber and Fibiger, 1997; but seeSalamone et al., 1997). A one-to-one correspondence between electrode placement in a particular subregion of the Acb and neuronal firing pattern (cell type) was not determined in the present study. Nevertheless, results reported here clearly show that Acb neurons exhibit patterned activation relative to goal-directed behaviors for water and food reinforcement consistent with a role of this structure in mediating appetitive (nondrug) reinforced behaviors.
The present study also shows that the majority of phasically active Acb neurons exhibited similar types of neuronal firing patterns across the two natural reinforcer conditions. It is important to note however, that in some instances subtle changes in cell firing were observed for individual neurons during the behavioral session. For example, the neuron shown in Figure 2 exhibited an overall increase in background firing rates during the second phase of the multiple schedule that may reflect differences in reinforcer value or rate of reinforcer consumption. Likewise, this type of information may be encoded by other Acb neurons recorded in the present study that did not show overlapping patterned discharges across the two natural reinforcer conditions. Additional electrophysiological studies are needed to examine these and related issues.
Acb cell firing during responding for cocaine and natural (water and food) reward
Electrophysiological studies have shown that Acb cells encode particular aspects of goal-directed responses for water, food, and cocaine (Apicella et al., 1991; Carelli and Deadwyler, 1994, 1997;Chang et al., 1994; Bowman et al., 1996; Peoples and West, 1996;Peoples et al., 1998; Lee et al., 1998). In the present study, the activity of the same Acb neuron was examined during operant responding for cocaine versus a natural (food/water) reinforcer, and an important aspect of Acb cell firing was observed. Specifically, results indicated that one population of Acb neurons appears to selectively encode information about water and food reinforcement while a second subset of Acb cells appears to process information about cocaine reinforcement.
A finding consistent with previous reports was the observance of a fourth neuronal firing pattern observed only during cocaine self-administration and not water reinforcement sessions (termed PR+RF or CSp). In the present study, PR+RF neurons shifted their activity to either nonphasic or type PR firing during responding for a natural reinforcer in the multiple schedule. These findings support the contention that PR+RF activity may represent a form of Acb cell firing related solely to cocaine-reinforced behavior. However, additional studies need to be completed to examine other factors that may influence this type of activity including, for example, changes in the FR requirement or reinforcer value (Schultz et al., 1992; Carelli and Deadwyler, 1994, 1997).
The dissociation in Acb cell firing during goal-directed behaviors for natural versus drug reinforcement provides crucial insight into the functional organization of the Acb. Numerous anatomic studies show that the Acb receives convergent synaptic input from a variety of cortical and subcortical structures, including portions of the prefrontal cortex, subiculum, basolateral amygdala, and the ventral tegmental area (Groenewegen et al., 1991; Zahm and Brog, 1992; Brog et al., 1993;Heimer et al., 1995; Heimer et al., 1997). It has been proposed that the striatum is part of a larger system of functionally segregated circuits that link the basal ganglia and cortex, and that the processing of information within and between these circuits is largely parallel in nature (Alexander et al., 1986; Alexander and Crutcher, 1990; Groenewegen et al., 1996). The present findings support this contention by showing that separate populations of Acb neurons differentially encode information about natural reinforcers (food and water) and cocaine.
Likewise, different types of abused substances (heroin and cocaine) also appear to activate discreet, functionally segregated circuits within the Acb and medial prefrontal cortex (Chang et al., 1998). In that study, neuronal activity was recorded in rats during behavioral sessions involving consecutive self-administration of cocaine and heroin. Results indicated that the majority of Acb neurons exhibited differential firing patterns across the two drug reinforcer conditions that were not attributed solely to differences in locomotor behavior. Collectively, these findings provide evidence that the Acb is part of a complex neural circuit comprising separate functional networks that process specific types of reinforcement-related information.
This is consistent with another theoretical review of the functional organization of the Acb by Pennartz et al. (1994). Those authors proposed that the Acb comprises a collection of neuronal “ensembles” or groups of cells with different functional properties. The activation of specific neuronal ensembles is modifiable depending on reward-related learning processes. In the present study, animals completed the same behavioral response requirement for natural and drug reward, yet subsets of Acb neurons were responsive only under specific reinforcer conditions. These findings illustrate the dynamic nature of Acb cell firing and the ability of single Acb neurons to reorganize activity related to reinforcer-specific circumstances.
Concluding remarks
The present findings show that the majority of Acb neurons tested exhibited similar neuronal firing patterns during responding for two natural (food and water) reinforcers yet differential activity during operant responding for a natural reinforcer versus cocaine self-administration. These findings provide evidence that separate neural circuits exist in the Acb that encode information related to cocaine versus natural (food/water) reinforcement. It remains unclear, however, precisely what functional neural circuit in the Acb is being activated by cocaine. One possibility is that cocaine activates populations of cells that normally process information about the reinforcing properties of sexual behavior (Everitt, 1990; Pfaus et al., 1990; Wenkstern et al., 1993; Childress et al., 1998). Alternatively, cocaine may not be activating a specific type of reinforcer-related circuit, but may instead be “tapping into” a more generalized neural system that is involved in processing, for example, incentive motivational factors associated with positive reinforcement (Stewart et al., 1984).
The majority of neurons recorded in the present study were from electrodes located in the rostral pole, core, and shell of the Acb. In some cases however, the microelectrode array was clearly not lowered to the appropriate ventral depth, and neurons were recorded from the CPv. Although only a small portion of the total sample, CPv neurons exhibited similar types of patterned discharges as that observed for Acb neurons. These findings may reflect similar firing characteristics of neurons within the CPv and Acb, consistent with reports showing similarities in limbic structure projections to both regions (Heimer et al., 1995; Wright et al., 1996).
Several important issues remain to be determined with respect to the nature and control of Acb activity reported here. Although it is likely that the dissociation in cell firing reflects the differential encoding by Acb neurons of drug and natural rewards, it is also possible that other factors not specifically tested could also contribute to the present findings (e.g., differences in consummatory behaviors, and/or deprivation state of the animals). It will also be important to examine Acb activity after alterations in the value of the natural reinforcer (e.g., from water to sucrose), changes in the schedule requirement, manipulations in “cost–benefit” requirements, and with respect to the anatomic subdivisions of the Acb (Cousins et al., 1996; Sokolowski and Salamone, 1998; Kelley, 1999; Bassareo and Di Chiara, 1999). Nevertheless, the dissociation in Acb cell firing during responding for cocaine versus natural reinforcers is consistent with the possibility proposed by others that pharmacotherapies for cocaine addiction can be developed that may modify drug-taking behavior while leaving food and water consumption relatively intact (Caine and Koob, 1994; Glowa and Fantegrossi, 1997; Mello and Negus, 1998; Wojnicki et al., 1999).
Footnotes
This work was supported by National Institute on Drug Abuse Grant DA10006 and The Whitehall Foundation. We thank Drs. Patricia Sue Grigson, Michael J. DeVito, and Sam A. Deadwyler for their helpful comments.
Correspondence should be addressed to Dr. Regina M. Carelli, Department of Psychology, The University of North Carolina at Chapel Hill, CB# 3270, Davie Hall, Chapel Hill, NC 27599-3270. E-mail:rcarelli@unc.edu.
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