 |
Previous Article | Next Article 
The Journal of Neuroscience, June 1, 2000, 20(11):4255-4266
Evidence That Separate Neural Circuits in the Nucleus Accumbens
Encode Cocaine Versus "Natural" (Water and Food) Reward
Regina M.
Carelli,
Stephanie G.
Ijames, and
Alison J.
Crumling
Department of Psychology, The University of North Carolina at
Chapel Hill, Chapel Hill, North Carolina 27599-3270
 |
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.
Key words:
nucleus accumbens; reward; water; food; cocaine; self-administration
 |
INTRODUCTION |
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 by
Wise (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 of
Paxinos 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.

View larger version (15K):
[in this window]
[in a new window]
|
Figure 1.
Cumulative record showing the behavioral (lever
press) response pattern for a single animal during the multiple
schedule for water and food reinforcement. The animal completed 25 responses for water (mean INT = 22.73 ± 0.38 sec) and 29 responses for food (mean INT = 20.84 ± 0.06 sec). Each
upward deflection indicates a reinforced response (FR1). The
y-axis is the number of lever presses. Double
line at time 600 sec indicates time out period (20 sec).
Resp, Responses.
|
|
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 Figure
2. 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.

View larger version (23K):
[in this window]
[in a new window]
|
Figure 2.
A single Acb cell showing similar anticipatory
discharges during the multiple schedule for water and food
reinforcement. Left, PEHs show that the Acb cell
exhibited type preresponse (PR) activity relative to both the water
(top)- and food (bottom)- reinforced
response. Each PEH contains 250 bins here and in subsequent figures.
Mean INT for water = 25.34 ± 1.50 sec; mean INT for
food = 29.75 ± 2.90 sec. R
indicates reinforced response here and in subsequent figures.
Right, Raster displaying the activity of the same neuron
shown in the PEHs across all trials of the multiple schedule. Each row
represents a trial (trial number indicated on right) here
and in subsequent figures. Trials 1-22, Water reinforcement; trials
23-44, food reinforcement.
|
|
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 Figure
3. 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.

View larger version (30K):
[in this window]
[in a new window]
|
Figure 3.
A single Acb cell showing a pronounced increase in
firing rate [type reinforcement-excitation (RFe)] immediately after
both the water- and food-reinforced response. Left, PEHs
show that the Acb cell exhibited similar type RFe discharge patterns
across the food (top) and water (bottom)
reinforcer conditions. Mean INT for food = 21.87 ± 0.19 sec;
mean INT for water = 21.30 ± 0.13 sec. Right,
Raster display shows the activity of the same neuron shown in the PEHs
across all trials of the multiple schedule. Trials 1-29, Food; trials
30-57, water.
|
|
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.

View larger version (46K):
[in this window]
[in a new window]
|
Figure 4.
Another Acb cell showing a decrease in firing rate
[type reinforcement-inhibition (RFi)] immediately after both water-
and food-reinforced responding. Left, PEHs show that the
Acb cell exhibited similar type RFi discharge patterns across the food
(top) and water (bottom) reinforcer
conditions. Mean INT for food = 25.69 ± 2.39 sec; mean INT
for water = 21.18 ± 0.10 sec. Right, Raster
display shows the activity of the same neuron shown in the PEHs across
all trials of the multiple schedule. Trials 1-23, Food; trials 24-46,
water.
|
|
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 Table
1. 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 Figure
5 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.
View this table:
[in this window]
[in a new window]
|
Table 1.
Mean ± SEM of Acb peak (PR and RFe) and trough (RFi)
firing rates across four time epochs relative to the water- or
food-reinforced response
|
|

View larger version (26K):
[in this window]
[in a new window]
|
Figure 5.
Composite PEHs of normalized firing of all PR,
RFe, and RFi cells during water (left)- and food
(right)-reinforced responding. Neural activity was
normalized relative to the respective overall mean firing rates of each
cell here and in Figures 8 and 10. These PEHs therefore reflect the
relative increase in firing of each cell type regardless of absolute
firing rate. Under both water and food reinforcement conditions, the
complementary nature of the relative firing patterns of each cell type
is apparent and similar.
|
|
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.

View larger version (15K):
[in this window]
[in a new window]
|
Figure 6.
Cumulative record showing the behavioral (lever
press) response pattern for a single animal during the multiple
schedule for water reinforcement and cocaine self-administration. The
animal completed 23 responses for water (mean INT = 25.40 ± 1.59 sec), followed by a 20 sec time out period (indicated by
double line in record). During the self-administration
phase, the animal completed four responses in quick succession followed
by an additional 14 regularly spaced responses (mean INT, 6.45 ± 0.51 min). The y-axis is the number of lever presses.
Each upward deflection indicates a reinforced response (FR1). Note that
the slope difference between this graph and Figure 1 is related to
differences in the timebases (minutes vs seconds).
|
|
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.
View this table:
[in this window]
[in a new window]
|
Table 2.
Mean ± SEM of Acb neurons exhibiting phasic cell
firing relative to the water- but not cocaine-reinforced response
|
|
View this table:
[in this window]
[in a new window]
|
Table 3.
Mean ± SEM of Acb neurons exhibiting phasic cell
firing relative to the cocaine- but not water-reinforced response
|
|
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. Figure 7 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.

View larger version (43K):
[in this window]
[in a new window]
|
Figure 7.
Example of a single Acb neuron recorded during two
consecutive sessions (days) in which the order of reinforcer was
reversed. Left, PEHs show that the Acb cell exhibited
type PR activity relative to the water-reinforced response and
nonphasic (NP) activity relative to
cocaine-reinforced response across the two sessions. Session
1, Mean INT for water = 25.40 ± 1.59 sec; mean INT
for cocaine = 6.86 ± 0.51 min. Session 2,
Mean INT for water = 56.42 ± 9.76 sec; mean INT for
cocaine = 7.41 ± 0.5-1.0 sec 1 min. Right,
Raster displays show the activity of the same neuron shown in the PEHs
across all trials. Note that patterned activity specific to
water-reinforced responding was observed regardless of reinforcer order
in the multiple schedule.
|
|
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).

View larger version (30K):
[in this window]
[in a new window]
|
Figure 8.
Composite PEHs of normalized firing of all neurons
exhibiting patterned discharges relative only to the water-reinforced
response. Left, PEHs show that populations of neurons
displayed one of the three types of patterned activity relative to the
reinforced response for water. Right, The same cells
exhibited type NP activity relative the reinforced response for
cocaine.
|
|
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).

View larger version (37K):
[in this window]
[in a new window]
|
Figure 9.
Example of an Acb neuron that exhibited patterned
activity relative to cocaine-reinforced responding only.
Left, PEHs show that the Acb cell exhibited NP firing
relative to the water-reinforced response (top). The
same Acb cell exhibited type PR activity relative to the
cocaine-reinforced response (bottom). Mean INT for
water = 24.39 ± 1.13 sec; mean INT for cocaine = 4.43 ± 0.17 min. Right, Raster display shows the
activity of the same neuron shown in the PEHs across all trials of the
session. The cell exhibited NP activity during the water reinforcement
phase followed by a transition to type PR activity during the initial
trials of cocaine self-administration.
|
|
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.

View larger version (29K):
[in this window]
[in a new window]
|
Figure 10.
Composite PEHs of normalized firing of all
neurons exhibiting patterned discharges relative only to the
cocaine-reinforced response during the multiple schedule.
Left, PEHs show that populations of neurons exhibited NP
activity relative to the reinforced response for water.
Right, The same cells exhibited one of the four
well-defined types of patterned discharges relative to the
cocaine-reinforced response.
|
|
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.

View larger version (26K):
[in this window]
[in a new window]
|
Figure 11.
Activity of a single Acb cell during the multiple
schedule for food and cocaine reinforcement. Left, PEHs
show that the Acb cell exhibited type RFe activity relative to the
food-reinforced response (top). The same Acb cell
exhibited NP activity relative to the cocaine-reinforced response
(bottom). Mean INT for food = 20.81 ± 0.04 sec; mean INT for cocaine = 4.16 ± 0.14 min.
Right, Raster display shows the activity of the same
neuron shown in the PEHs across all trials (number indicated at
far right) of the multiple schedule. The transition to NP
activity during the self-administration portion of the multiple
schedule was immediate, and maintained throughout the remainder 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, and
n = 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) .

View larger version (47K):
[in this window]
[in a new window]
|
Figure 12.
Coronal diagrams showing electrode tip placement
of marked and estimated unmarked wires across all 13 animals.
Filled circles represent electrode locations that were
marked by the presence of a blue dot reaction product (Prussian blue)
corresponding to the location of an electrode tip. Open
circles indicate estimated position of unmarked electrode tips.
Numbers to the left indicate AP coordinates (in
millimeters) rostral to bregma. Diagrams were taken from the
stereotaxic atlas of Paxinos and Watson (1997) . Acb,
Nucleus accumbens: S, nucleus accumbens, shell;
C, nucleus accumbens, core; CPu, caudate
putamen.
|
|
 |
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 see
Salamone 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 |
Received Jan. 7, 2000; revised March 10, 2000; accepted March 16, 2000.
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{at}unc.edu.
 |
REFERENCES |
-
Alexander GE,
Crutcher MD
(1990)
Functional architecture of basal ganglia circuits: neural substrates of parallel processing.
Trends Neurosci
13:266-271[Web of Science][Medline].
-
Alexander GE,
DeLong MR,
Strick PL
(1986)
Parallel organization of functionally segregated circuits linking basal ganglia and cortex.
Annu Rev Neurosci
9:357-381[Web of Science][Medline].
-
Apicella P,
Ljungberg T,
Scarnati E,
Schultz W
(1991)
Responses to reward in monkey dorsal and ventral striatum.
Exp Brain Res
85:491-500[Web of Science][Medline].
-
Bardo MT
(1998)
Neuropharmacological mechanisms of drug reward: beyond dopamine in the nucleus accumbens.
Crit Rev Neurobiol
12:37-67[Web of Science][Medline].
-
Bassareo V,
Di Chiara G
(1999)
Differential responsiveness of dopamine transmission to food-stimuli in nucleus accumbens shell/core compartments.
Neuroscience
89:637-641[Web of Science][Medline].
-
Bowman EM,
Aigner TG,
Richmond BJ
(1996)
Neural signals in the monkey ventral striatum related to motivation for juice and cocaine rewards.
J Neurophysiol
75:1061-1073[Abstract/Free Full Text].
-
Brog JS,
Salyapongse A,
Deutch AY,
Zahm DS
(1993)
The patterns of afferent innervation of the core and shell in the "accumbens" part of the rat ventral striatum: immunohistochemical detection of retrogradely transported fluoro-gold.
J Comp Neurol
338:255-278[Web of Science][Medline].
-
Caine SB,
Koob GF
(1994)
Effects of mesolimbic dopamine depletion on responding maintained by cocaine and food.
J Exp Anal Behav
61:213-221[Web of Science][Medline].
-
Carelli RM,
Deadwyler SA
(1994)
A comparison of nucleus accumbens neuronal firing patterns during cocaine self-administration and water reinforcement in rats.
J Neurosci
14:7735-7746[Abstract].
-
Carelli RM,
Deadwyler SA
(1996)
Dose-dependent transitions in nucleus accumbens cell firing and behavioral responding during cocaine self-administration sessions in rats.
J Pharmacol Exp Ther
277:385-393[Abstract/Free Full Text].
-
Carelli RM,
Deadwyler SA
(1997)
Cellular mechanisms underlying reinforcement-related processing in the nucleus accumbens: electrophysiological studies in behaving animals.
Pharmacol Biochem Behav
57:495-504[Web of Science][Medline].
-
Carelli RM,
Ijames S,
Konstantopoulos J,
Deadwyler SA
(1999)
Examination of factors mediating the transition to behaviorally correlated nucleus accumbens cell firing during cocaine self-administration in rats.
Behav Brain Res
104:127-139[Web of Science][Medline].
-
Chang JY,
Sawyer SF,
Lee RS,
Woodward DJ
(1994)
Electrophysiological and pharmacological evidence for the role of the nucleus accumbens in cocaine self-administration in freely moving rats.
J Neurosci
14:1224-1244[Abstract].
-
Chang JY,
Janak PH,
Woodward DJ
(1998)
Comparison of mesocorticolimbic neuronal responses during cocaine and heroin self-administration in freely moving rats.
J Neurosci
18:3098-3115[Abstract/Free Full Text].
-
Childress AR,
McElgin W,
Mozley D,
O'Brien CP
(1998)
PET imaging of cue-induced and no-drug craving states.
Soc Neurosci Abstr
24:1967.
-
Cousins MS,
Atherton A,
Turner L,
Salamone JD
(1996)
Nucleus accumbens dopamine depletions alter relative response allocation in a T-maze cost/benefit task.
Behav Brain Res
74:189-197[Web of Science][Medline].
-
Di Chiara G
(1995)
The role of dopamine in drug abuse viewed from the perspective of its role in motivation.
Drug Alcohol Depend
38:95-137[Web of Science][Medline].
-
Everitt BJ
(1990)
Sexual motivation: a neural and behavioural analysis of the mechanisms underlying appetitive and copulatory responses in male rats.
Neurosci Biobehav Rev
14:217-232[Web of Science][Medline].
-
Glowa JR,
Fantegrossi WE
(1997)
Effects of dopaminergic drugs on food- and cocaine-maintained responding. IV. Continuous cocaine infusions.
Drug Alcohol Depend
45:71-79[Medline].
-
Glowa JR,
Wojnicki FHE
(1996)
Effects of drug on food- and cocaine-maintained responding. III. Dopaminergic antagonists.
Psychopharmacology
128:351-358[Medline].
-
Green JD
(1958)
A simple microelectrode for recording from the central nervous system.
Nature
182:962.
-
Groenewegen HJ,
Berendse HW,
Meredith GE,
Haber SN,
Voorn P,
Walters JG,
Lohman AHM
(1991)
Functional anatomy of the ventral, limbic system-innervated striatum.
In: The mesolimbic dopamine system: from motivation to action (Willner P,
Scheel-Kruger J,
eds), pp 19-59. New York: Wiley.
-
Groenewegen HJ,
Wright CI,
Beijer AV
(1996)
The nucleus accumbens: gateway for limbic structures to reach the motor system?
Prog Brain Res
107:485-511[Web of Science][Medline].
-
Heimer L,
Zahm DS,
Alheid GF
(1995)
Basal ganglia.
In: The rat nervous system, Ed 2 (Paxinos G,
ed), pp 579-628. San Diego: Academic.
-
Heimer L,
Alheid GF,
de Olmos JS,
Groenewegen HJ,
Haber SN,
Harlan RE,
Zahm DS
(1997)
The accumbens: beyond the core-shell dichotomy.
J Neuropsychiatry Clin Neurosci
9:354-381[Abstract/Free Full Text].
-
Hoebel BG
(1997)
Neuroscience and appetitive behavior research: 25 years.
Appetite
29:119-133[Medline].
-
Hollerman JR,
Tremblay L,
Schultz W
(1998)
Influence of reward expectation on behavior-related neuronal activity in primate striatum.
J Neurophysiol
80:947-963[Abstract/Free Full Text].
-
Kelley AE
(1999)
Functional specificity of ventral striatal compartments in appetitive behaviors.
Ann NY Acad Sci
877:71-90[Web of Science][Medline].
-
Kelley AE,
Swanson CJ
(1997)
Feeding induced by blockade of AMPA and kainate receptors within the ventral striatum: a microinfusion mapping study.
Behav Brain Res
89:107-113[Web of Science][Medline].
-
Koob GF
(1998)
Circuits, drugs, and drug addiction.
Adv Pharmacol
42:978-982.
-
Koob GF,
Nestler EJ
(1997)
The neurobiology of drug addiction.
J Neuropsychiatry Clin Neurosci
9:482-497[Abstract/Free Full Text].
-
Lee RS,
Koob GF,
Henriksen SJ
(1998)
Electrophysiological responses of nucleus accumbens neurons to novelty stimuli and exploratory behavior in the awake, unrestrained rat.
Brain Res
799:317-322[Web of Science][Medline].
-
Mello NK,
Negus SS
(1998)
Effects of kappa opioid agonists on cocaine- and food-maintained responding by rhesus monkeys.
J Pharmacol Exp Ther
286:812-824[Abstract/Free Full Text].
-
Nicolelis MAL
(1999)
In: Methods for neural ensemble recordings. Boca Raton, FL: CRC.
-
Nicolelis MAL,
Ghazanfar AA,
Faggin BM,
Votaw S,
Oliveira LMO
(1997)
Reconstructing the engram: simultaneous, multisite, many single neuron recordings.
Neuron
18:529-537[Web of Science][Medline].
-
Paxinos G,
Watson C
(1997)
In: The rat brain in stereotaxic coordinates, Compact third edition. San Diego: Academic.
-
Pennartz CM,
Groenewegen HJ,
Lopes da Silva FH
(1994)
The nucleus accumbens as a complex of functionally distinct neuronal ensembles: an integration of behavioral, electrophysiological and anatomical data.
Prog Neurobiol
42:719-761[Web of Science][Medline].
-
Peoples LL,
West MO
(1996)
Phasic firing of single neurons in the rat nucleus accumbens correlated with the timing of intravenous cocaine self-administration.
J Neurosci
16:3459-3473[Abstract/Free Full Text].
-
Peoples LL,
Gee F,
Bibi R,
West MO
(1998)
Phasic firing time locked to cocaine self-infusion and locomotion: dissociable firing patterns of single nucleus accumbens neurons in the rat.
J Neurosci
18:7588-7598[Abstract/Free Full Text].
-
Pfaus JG,
Damsma G,
Nomikos GG,
Wenkstern DG,
Blaha CD,
Phillips AG,
Fibiger HC
(1990)
Sexual behavior enhances central dopamine transmission in the male rat.
Brain Res
530:345-348[Web of Science][Medline].
-
Rada P,
Mark GP,
Hoebel BG
(1998)
Galanin in the hypothalamus raises dopamine and lowers acetylcholine release in the nucleus accumbens: a possible mechanism for hypothalamic initiation of feeding behavior.
Brain Res
798:1-6[Medline].
-
Richardson NR,
Gratton A
(1996)
Behavior-relevant changes in nucleus accumbens dopamine transmission elicited by food reinforcement: an electrochemical study in rat.
J Neurosci
16:8160-8169[Abstract/Free Full Text].
-
Salamone JD,
Cousins MS,
Snyder BJ
(1997)
Behavioral functions of nucleus accumbens dopamine: empirical and conceptual problems with the anhedonia hypothesis.
Neurosci Biobehav Rev
21:341-359[Web of Science][Medline].
-
Schultz W
(1998)
Predictive reward signal of dopamine neurons.
J Neurophysiol
80:1-27[Abstract/Free Full Text].
-
Schultz W,
Apicella P,
Scarnati E,
Ljungberg T
(1992)
Neuronal activity in monkey ventral striatum related to expectation of reward.
J Neurosci
12:4595-4610[Abstract].
-
Schultz W,
Dayan P,
Montague PR
(1997)
A neural substrate of prediction and reward.
Science
275:1593-1599[Abstract/Free Full Text].
-
Sokolowski JD,
Salamone JD
(1998)
The role of accumbens dopamine in lever pressing and response allocation: effects of 6-OHDA injected into the core and dorsomedial shell.
Pharmacol Biochem Behav
59:557-566[Web of Science][Medline].
-
Stewart J,
deWit H,
Eikelboom R
(1984)
Role of unconditioned and conditioned drug effects in the self-administration of opiates and stimulants.
Psychol Rev
91:251-268[Web of Science][Medline].
-
Stratford TR,
Kelley AE
(1997)
GABA in the nucleus accumbens shell participates in the central regulation of feeding behavior.
J Neurosci
17:4434-4440[Abstract/Free Full Text].
-
Stratford TR,
Swanson CJ,
Kelley A
(1998)
Specific changes in food intake elicited by blockade or activation of glutamate receptors in the nucleus accumbens shell.
Behav Brain Res
93:43-50[Web of Science][Medline].
-
Swanson CJ,
Heath S,
Stratford TR,
Kelley AE
(1997)
Differential behavioral responses to dopaminergic stimulation of nucleus accumbens subregions in the rat.
Pharmacol Biochem Behav
58:933-945[Web of Science][Medline].
-
Taber MT,
Fibiger HC
(1997)
Feeding-evoked dopamine release in the nucleus accumbens: regulation by glutaminergic mechanisms.
Neuroscience
76:1105-1112[Web of Science][Medline].
-
Tran-Nguyen LTL,
Baker DA,
Grote KA,
Solano J,
Neisewander JL
(1999)
Serotonin depletion attenuates cocaine-seeking behavior in rats.
Psychopharmacology
146:60-66[Medline].
-
Tremblay L,
Hollerman JR,
Schultz W
(1998)
Modifications of reward expectation-related neuronal activity during learning in primate striatum.
J Neurophysiol
80:964-977[Abstract/Free Full Text].
-
Weissenborn R,
Robbins TW,
Everitt BJ
(1997)
Effects of medial prefrontal or anterior cingulate cortex lesions on responding for cocaine under fixed-ratio and second-order schedules of reinforcement in rats.
Psychopharmacology
134:242-257[Medline].
-
Wenkstern D,
Pfaus JG,
Fibiger HC
(1993)
Dopamine transmission increases in the nucleus accumbens of male rats during their first exposure to sexually receptive female rats.
Brain Res
618:41-46[Web of Science][Medline].
-
Wilson C,
Nomikos GG,
Collu M,
Fibiger HC
(1995)
Dopaminergic correlates of motivated behavior: Importance of drive.
J Neurosci
15:5169-5178[Abstract].
-
Wise RA
(1982)
Common neural basis for brain stimulation reward, drug reward, and food reward.
In: The neural basis of feeding and reward (Hoebel BG,
Novin D,
eds), pp 445-454. Brunswick, ME: Haer Institute.
-
Wise RA
(1983)
Brain neuronal systems mediating reward processes.
In: The neurobiology of opiate reward processes (Smith JE,
Lane JD,
eds), pp 405-437. New York: Elsevier.
-
Wise RA
(1997)
Drug self-administration viewed as ingestive behavior.
Appetite
28:1-5[Web of Science][Medline].
-
Wise RA
(1998)
Drug-activation of brain reward pathways.
Drug Alcohol Depend
51:13-22[Web of Science][Medline].
-
Wojnicki FHE,
Rothman RB,
Rice KC,
Glowa JR
(1999)
Effects of phentermine on responding maintained under multiple fixed-ratio schedules of food and cocaine presentation in the rhesus monkey.
J Pharmacol Exp Ther
288:550-560[Abstract/Free Full Text].
-
Wright CI,
Beijer VJ,
Groenewegen HJ
(1996)
Basal amygdaloid complex afferents to the rat nucleus accumbens are compartmentally organized.
J Neurosci
16:1877-1893[Abstract/Free Full Text].
-
Zahm DS,
Brog JS
(1992)
Commentary: on the significance of subterritories in the "accumbens" part of the rat ventral striatum.
Neuroscience
50:751-767[Web of Science][Medline].
Copyright © 2000 Society for Neuroscience 0270-6474/00/20114255-12$05.00/0
This article has been cited by other articles:

|
 |

|
 |
 
L. Gregorios-Pippas, P. N. Tobler, and W. Schultz
Short-Term Temporal Discounting of Reward Value in Human Ventral Striatum
J Neurophysiol,
March 1, 2009;
101(3):
1507 - 1523.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
F. M. Vassoler, H. D. Schmidt, M. E. Gerard, K. R. Famous, D. A. Ciraulo, C. Kornetsky, C. M. Knapp, and R. C. Pierce
Deep Brain Stimulation of the Nucleus Accumbens Shell Attenuates Cocaine Priming-Induced Reinstatement of Drug Seeking in Rats
J. Neurosci.,
August 27, 2008;
28(35):
8735 - 8739.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
A. Johnson and A. D. Redish
Neural Ensembles in CA3 Transiently Encode Paths Forward of the Animal at a Decision Point
J. Neurosci.,
November 7, 2007;
27(45):
12176 - 12189.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
A. Magalhaes, T. Summavielle, M. A. Tavares, and L. de Sousa
Postnatal exposure to cocaine in rats housed in an enriched environment: effects on social interactions
Human and Experimental Toxicology,
April 1, 2007;
26(4):
303 - 309.
[Abstract]
[PDF]
|
 |
|

|
 |

|
 |
 
J. J. Day and R. M. Carelli
The Nucleus Accumbens and Pavlovian Reward Learning
Neuroscientist,
April 1, 2007;
13(2):
148 - 159.
[Abstract]
[PDF]
|
 |
|

|
 |

|
 |
 
J. A. Hollander and R. M. Carelli
Cocaine-Associated Stimuli Increase Cocaine Seeking and Activate Accumbens Core Neurons after Abstinence
J. Neurosci.,
March 28, 2007;
27(13):
3535 - 3539.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
P. W. German and H. L. Fields
Rat Nucleus Accumbens Neurons Persistently Encode Locations Associated With Morphine Reward
J Neurophysiol,
March 1, 2007;
97(3):
2094 - 2106.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
D. Belin and A. Rauscent
{Delta}FosB: A Molecular Gate to Motivational Processes within the Nucleus Accumbens?
J. Neurosci.,
November 15, 2006;
26(46):
11809 - 11810.
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
R. A. Wheeler and R. M. Carelli
The Neuroscience of Pleasure. Focus on "Ventral Pallidum Firing Codes Hedonic Reward: When a Bad Taste Turns Good"
J Neurophysiol,
November 1, 2006;
96(5):
2175 - 2176.
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
B. J. Aragona and R. M. Carelli
Dynamic neuroplasticity and the automation of motivated behavior.
Learn. Mem.,
September 1, 2006;
13(5):
558 - 559.
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
L. Yonghui, Z. Xigeng, B. Yunjing, Y. Xiaoyan, and S. Nan
Opposite effects of MK-801 on the expression of food and morphine-induced conditioned place preference in rats
J Psychopharmacol,
January 1, 2006;
20(1):
40 - 46.
[Abstract]
[PDF]
|
 |
|

|
 |

|
 |
 
D. I. G. Wilson and E. M. Bowman
Rat Nucleus Accumbens Neurons Predominantly Respond to the Outcome-Related Properties of Conditioned Stimuli Rather Than Their Behavioral-Switching Properties
J Neurophysiol,
July 1, 2005;
94(1):
49 - 61.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. A. Taha and H. L. Fields
Encoding of Palatability and Appetitive Behaviors by Distinct Neuronal Populations in the Nucleus Accumbens
J. Neurosci.,
February 2, 2005;
25(5):
1193 - 1202.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
U. E. Ghitza, A. T. Fabbricatore, V. F. Prokopenko, and M. O. West
Differences Between Accumbens Core and Shell Neurons Exhibiting Phasic Firing Patterns Related to Drug-Seeking Behavior During a Discriminative-Stimulus Task
J Neurophysiol,
September 1, 2004;
92(3):
1608 - 1614.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
M. A. S. Baptista, R. Martin-Fardon, and F. Weiss
Preferential Effects of the Metabotropic Glutamate 2/3 Receptor Agonist LY379268 on Conditioned Reinstatement versus Primary Reinforcement: Comparison between Cocaine and a Potent Conventional Reinforcer
J. Neurosci.,
May 19, 2004;
24(20):
4723 - 4727.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. M. Nicola, I. A. Yun, K. T. Wakabayashi, and H. L. Fields
Cue-Evoked Firing of Nucleus Accumbens Neurons Encodes Motivational Significance During a Discriminative Stimulus Task
J Neurophysiol,
April 1, 2004;
91(4):
1840 - 1865.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. M. Nicola, I. A. Yun, K. T. Wakabayashi, and H. L. Fields
Firing of Nucleus Accumbens Neurons During the Consummatory Phase of a Discriminative Stimulus Task Depends on Previous Reward Predictive Cues
J Neurophysiol,
April 1, 2004;
91(4):
1866 - 1882.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
A. J. Tindell, K. C. Berridge, and J. W. Aldridge
Ventral Pallidal Representation of Pavlovian Cues and Reward: Population and Rate Codes
J. Neurosci.,
February 4, 2004;
24(5):
1058 - 1069.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
L. L. Peoples, K. G. Lynch, J. Lesnock, and N. Gangadhar
Accumbal Neural Responses During the Initiation and Maintenance of Intravenous Cocaine Self-Administration
J Neurophysiol,
January 1, 2004;
91(1):
314 - 323.
[Abstract]
[Full Text]
|
 |
|

|
 |

|
 |
 
R. M. Carelli and J. Wondolowski
Selective Encoding of Cocaine versus Natural Rewards by Nucleus Accumbens Neurons Is Not Related to Chronic Drug Exposure
J. Neurosci.,
December 3, 2003;
23(35):
11214 - 11223.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
R. M. Carelli, J. G. Williams, and J. A. Hollander
Basolateral Amygdala Neurons Encode Cocaine Self-Administration and Cocaine-Associated Cues
J. Neurosci.,
September 10, 2003;
23(23):
8204 - 8211.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
L. L. Peoples and D. Cavanaugh
Differential Changes in Signal and Background Firing of Accumbal Neurons During Cocaine Self-Administration
J Neurophysiol,
August 1, 2003;
90(2):
993 - 1010.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
R. M. Carelli
The nucleus accumbens and reward: neurophysiological investigations in behaving animals.
Behav Cogn Neurosci Rev,
December 1, 2002;
1(4):
281 - 296.
[Abstract]
[PDF]
|
 |
|

|
 |

|
 |
 
Z. A. Rodd-Henricks, D. L. McKinzie, T.-K. Li, J. M. Murphy, and W. J. McBride
Cocaine Is Self-Administered into the Shell but Not the Core of the Nucleus Accumbens of Wistar Rats
J. Pharmacol. Exp. Ther.,
December 1, 2002;
303(3):
1216 - 1226.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
M. F. Roitman, E. Na, G. Anderson, T. A. Jones, and I. L. Bernstein
Induction of a Salt Appetite Alters Dendritic Morphology in Nucleus Accumbens and Sensitizes Rats to Amphetamine
J. Neurosci.,
May 30, 2002;
(2002)
20026416.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
A. J. Blood and R. J. Zatorre
Intensely pleasurable responses to music correlate with activity in brain regions implicated in reward and emotion
PNAS,
September 25, 2001;
98(20):
11818 - 11823.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
W. Schultz
Book Review: Reward Signaling by Dopamine Neurons
Neuroscientist,
August 1, 2001;
7(4):
293 - 302.
[Abstract]
[PDF]
|
 |
|

|
 |

|
 |
 
G. S. Berns, S. M. McClure, G. Pagnoni, and P. R. Montague
Predictability Modulates Human Brain Response to Reward
J. Neurosci.,
April 15, 2001;
21(8):
2793 - 2798.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
K. C. Bradley and R. L. Meisel
Sexual Behavior Induction of c-Fos in the Nucleus Accumbens and Amphetamine-Stimulated Locomotor Activity Are Sensitized by Previous Sexual Experience in Female Syrian Hamsters
J. Neurosci.,
March 15, 2001;
21(6):
2123 - 2130.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. M. Nicola and S. A. Deadwyler
Firing Rate of Nucleus Accumbens Neurons Is Dopamine-Dependent and Reflects the Timing of Cocaine-Seeking Behavior in Rats on a Progressive Ratio Schedule of Reinforcement
J. Neurosci.,
July 15, 2000;
20(14):
5526 - 5537.
[Abstract]
[Full Text]
[PDF]
|
 |
|
|