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The Journal of Neuroscience, December 1, 2000, 20(23):8876-8885
Enhanced Vulnerability to Cocaine Self-Administration Is
Associated with Elevated Impulse Activity of Midbrain Dopamine
Neurons
Michela
Marinelli and
Francis J.
White
Department of Cellular and Molecular Pharmacology, Finch University
of Health Sciences, The Chicago Medical School, North Chicago,
Illinois 60064
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ABSTRACT |
Individual differences in responding to a novel environment predict
behavioral and neurochemical responses to psychostimulant drugs. Rats
with a high locomotor response to a novel environment (HRs) exhibit
enhanced self-administration (SA) behavior, sensitization, and basal or
drug-induced dopamine release in the nucleus accumbens compared with
rats with a low response to the novel context (LRs). In this study, we
determined whether such differences in vulnerability to drug addiction
might be related to differences in dopamine (DA) neuron activity. Rats
were divided into HRs and LRs according to their response to a novel
environment and then tested for acquisition of cocaine SA. HRs rapidly
acquired cocaine SA (175 µg/kg per infusion), whereas LRs did not.
Differences in cocaine SA were not caused by differences in exploratory
behavior or sampling because these behaviors did not differ in HRs and
LRs self-administering a saline solution. In a separate experiment, we
used extracellular single-unit recordings and found that HRs exhibit
higher basal firing rates and bursting activity of DA neurons in the
ventral tegmental area and, to a lesser extent, in the substantia nigra pars compacta. The greater activity of midbrain DA cells in HRs was
accompanied by reduced sensitivity to the inhibitory effects of a DA
D2-class receptor agonist, indicating possible subsensitivity of
impulse-regulating DA autoreceptors. These results demonstrate that
differences in the basal activity of DA neurons may be critically involved in determining individual vulnerability to drugs of abuse.
Key words:
cocaine self-administration; dopamine; electrophysiology; ventral tegmental area; substantia nigra; individual vulnerability; drug addiction
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INTRODUCTION |
There is considerable individual
variation in sensitivity to the reinforcing effects of addictive drugs
in both humans and animals (de Wit et al., 1986 ; O'Brien et
al., 1986 ). For example, the amount and pattern of drug intake
vary across individuals; whereas some subjects more easily acquire drug
self-administration (SA) and develop drug addiction, others are more
resistant. Elucidating the mechanisms responsible for these differences
in drug sensitivity may provide important information for understanding
determinants of drug addiction.
In both humans and animals, the individual propensity to develop drug
intake can be predicted by drug-independent behavior, such as the level
of motor activity during a stressful situation. In humans, children
with heightened motor activity during concentration tasks have greater
addiction liability compared with children with lower motor activities
(Moss et al., 1992 ). In rats, high levels of locomotor activity in a
novel environment predict greater probability to acquire and maintain
psychostimulant SA (Piazza et al., 1989 ; Deroche et al., 1995 ; Grimm
and See, 1997 ; Pierre and Vezina, 1997 ). Locomotor response to a novel
context also predicts other behavioral responses to psychostimulants.
For example, high responders (HRs) show more locomotor activation in
response to psychostimulants (Piazza et al., 1990 ; Hooks et al.,
1991a ,b ; Exner and Clark, 1993 ), develop stronger contextual
conditioning to drugs (Jodogne et al., 1994 ), and develop behavioral
sensitization more readily than do low responders (LRs) (Hooks et al.,
1991a , 1992b ; Pierre and Vezina, 1997 ).
Research on the biological substrates underlying individual
vulnerability to drug addiction has focused on midbrain dopamine (DA)
neurons originating in the ventral tegmental area (VTA) and substantia
nigra pars compacta (SNc) and projecting primarily to the nucleus
accumbens (NAc), prefrontal cortex (PFC), and dorsal striatum. The
mesoaccumbens pathway and, to some extent, the nigrostriatal pathway
are considered the main systems mediating the reinforcing and
psychomotor-stimulant effects of drugs of abuse (for review, see
Robinson and Berridge, 1993 ; Robbins and Everitt, 1996 ; White and
Kalivas, 1998 ; Koob, 1998 ; Wise, 1998 ). Using the HR/LR model of
individual vulnerability to drugs, different laboratories have shown
that increased vulnerability is associated with increased basal and
stimulated DA levels in the NAc and striatum (Bradberry et al., 1991 ;
Hooks et al., 1991b , 1992a ; Piazza et al., 1991 ; Rougé-Pont et
al., 1993 , 1998 ). Surprisingly, no studies have attempted to determine
the functional origins of these differences.
In this study, we determined whether differences in DA neuron activity
of HRs and LRs could underlie individual differences in vulnerability
to drug addiction. Animals were screened for their response to a novel
environment and designated either HRs or LRs. We then tested the two
groups for acquisition of cocaine SA; in a separate experiment, we
examined the impulse activity of midbrain DA neurons of HRs and LRs
using in vivo single-unit extracellular recordings. We
evaluated the basal firing rate and bursting activity of VTA and SNc DA
cells, as well as the response of these neurons to DA D2 autoreceptor
stimulation. We report that HR rats show increased cocaine
self-administration and have elevated impulse activity of midbrain DA
cells compared with LR rats.
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MATERIALS AND METHODS |
Subjects. Male Sprague Dawley rats (Harlan Sprague
Dawley, Indianapolis, IN) weighing 280-320 gm at the time of the
experiments were used in all studies. A 12/12 hr dark/light cycle
(lights on at 7:00 A.M.) was maintained in the animal room, and
temperature (22°C) and humidity (66%) were kept constant. Animals
were housed individually with food and water available ad
libitum. They were allowed at least 1 week to acclimate to the
animal room before the experiments were started.
Response to a novel environment. Rats were screened for
locomotor responses to a novel environment over a period of 2 hr (from 2:00 to 4:00 P.M.) in a novel behavioral-testing facility. The novel
context consisted of a shoe box-type cage (50 × 30 × 25 cm;
n = 12) physically similar to the home cage. Three
photoelectric beams placed equidistant along the long axis of the cage
(PAS monitoring system; San Diego Instruments, San Diego, CA) allowed us to determine ambulations (defined as breaks of consecutive beams).
Rats with locomotor scores above the sample median were defined as HRs,
whereas those below were designated LRs.
Catheter implantation. One day after the novelty test, rats
were anesthetized with a ketamine and xylazine solution (65 and 20 mg/kg, respectively, in a 1 ml/kg volume). A SILASTIC catheter (10 µl dead volume) was inserted in the right auricle through the
external jugular vein, passed under the skin, and fixed in the
midscapular region. After surgery, all rats received an infusion of the
antibiotic gentamycin (2 mg/kg, i.v.) for 3 consecutive days.
Thereafter, catheters were flushed daily with a sterile solution of
heparin (100 µl; 10 IU) to prevent clogging.
Intravenous self-administration. One week after surgery,
animals were tested for the acquisition of cocaine (175 µg/kg per infusion) or saline SA over 7 d. Rats were submitted to daily 1 hr
SA sessions between 3:00 and 6:00 P.M. Before the start of each
session, the catheter was flushed with 50 µl of 0.9% NaCl, and its
external end was connected to a pump-driven syringe. No priming
infusions were given at any time. The SA cage (41 × 24 cm floor
area; 26 cm high; MED Associates, St. Albans, VT) was equipped with two
holes located 2 cm above the floor and placed on one of the 24-cm-wide
sides. Nose poking in one of the holes (designated active) resulted in
a 30 µl infusion of the cocaine or saline solution over a period of 3 sec. Subsequent nose pokes during the infusion period were recorded but
had no effect. In addition to delivering cocaine, nose poking in the
active hole illuminated the active hole for the duration of the drug
infusion (i.e., 3 sec). Nose pokes in the other hole (designated
inactive) were without consequence. The number of nose pokes in both
holes and the number of infusions were recorded throughout the
experiments by commercially available software (MED Associates
Instrumentation Software for Research, St. Albans, VT). Animals were
considered to perform active SA when the number of nose pokes in the
active hole was significantly higher than the number of nose pokes in the inactive one (95% confidence limit). Catheter patency was confirmed the last day of the experiment by delivering 200 µl of the
ketamine and xylazine solution through the catheters; rats that did not
succumb to the anesthetic within 5 sec were eliminated from the study.
Catheter failure and anesthesia overdosing reduced the number of
animals to five LRs and five HRs in each SA experiment.
Extracellular single-unit recording. Methods for
extracellular recording were similar to those reported previously
(Henry et al., 1989 ). Two to 10 d after the novelty screen, rats
were anesthetized with chloral hydrate (400 mg/kg, i.p.) and mounted in
a stereotaxic apparatus (Activational Systems, Warren, MI) with the
incisor bar set 3.3 mm below the interaural line. A lateral tail vein
was catheterized with a 25 gauge hypodermic needle to administer
additional anesthetic or drugs (as required). Body temperature was
monitored by a rectal thermometer (Poly Medica Healthcare, Golden, CO)
and maintained at 36.5-37.0°C with a thermostatically controlled
heating pad (Fintronics, Orange, CT). A burr hole was drilled in the
skull, and the dura matter was retracted from the area overlying the
VTA or SNc. A glass electrode was pulled from 2.0- or
1.5-mm-outer-diameter glass tubing with a vertical electrode puller
(Narishige PE-2, Tokyo, Japan), broken back under a microscope to a tip
diameter of 1-2 µm, and filled with a 2 M NaCl solution saturated with 1% fast green dye (Fisher Scientific, Houston, TX). The
electrode was lowered to 2 mm above the VTA or SNc and then slowly
advanced with a hydraulic microdrive (David Kopf Instruments, Tujunga,
CA) to the DA cell region. The coordinates for the VTA were 3.0-3.8 mm
anterior to lambda, 0.3-0.7 mm lateral from the midline, and 7.5-8.5
mm ventral from the cortical surface. Coordinates for the SNc were
3.4-3.8 mm anterior to lambda, 1.8-2.4 mm lateral from the midline,
and 7.0-8.0 mm ventral from the cortical surface (Paxinos and Watson,
1986 ). In vitro impedance of the electrodes was 1.5-2.1
M , measured at 135 Hz (Winston Electronics BL1000-B, San Francisco, CA).
During extracellular recording, electrical signals were fed into a
high-impedance amplifier (Fintronics), filtered at 400 and 500 Hz, displayed on an oscilloscope (Tektronix R5110, Chicago, IL), and
monitored by a window discriminator and an audioamplifier (Grass AM8,
Quincy, MA). The analog output of the window discriminator was
connected to a polygraph recorder (Gould 220, Chicago, IL) that plotted
rate histograms and to a printer (DPP-Q7A1; Datel, Mansfield, MA) that
printed firing rates. In some experiments, digital outputs were led
through an interface (Digidata 1200 series; Axon Instruments, Foster
City, CA) to a 586 personal computer running AxoScope software (Axon
Instruments) that determined firing activity on-line and stored all
data for future analysis. Stored data were then analyzed with a
custom-made program that determined firing and bursting activity
(percentage of spikes emitted in bursts, burst events, and spikes per burst).
DA cells were identified by anatomical location in the VTA or SNc and
according to standard physiological criteria (Bunney et al., 1973 ;
Wang, 1981a ; Grace and Bunney, 1983 , 1984a ,b ; White, 1996 ). These
neurons had (1) a characteristic triphasic (+/ /+) waveform
with a long action potential of 2.5-3.5 msec, (2) low spontaneous
firing rates of 0.5-10 Hz, and (3) either a slow irregular firing pattern or a slow bursting pattern with decreasing spike amplitude and increasing interspike interval within the burst.
Firing rate and bursting activity. Neuronal activity of VTA
and SNc DA neurons was determined on three to four cells per rat (no
more than six cells). Cells were recorded between 3 and 5 min to
establish a mean baseline firing rate. Only cells with stable activity
over at least 3 min (<3% variation) were included in the study. In
some experiments, we also recorded the bursting activity of the cells.
Bursting activity was plotted as the percentage of spikes emitted in
bursts. Burst events were initiated by a pair of spikes having an
interspike interval 80 msec and terminated by interspike intervals
160 msec (Grace and Bunney, 1983 , 1984b ). Usually, the cells
displayed several two-spike bursts and a smaller proportion of three or
more spikes per burst (for examples of bursting and nonbursting
activity, see Figs. 6c, 10c). Cells were classified as "burst-firing cells" if, in addition to exhibiting two-spike bursts, they also exhibited at least two three-spike bursts
(two "triplets") during 500 consecutive spikes (Grace and Bunney,
1984b ). To study the impulse activity of the entire cell population of
HR and LR rats, data were analyzed and graphed for the entire cell
population. Impulse activity in burst-firing versus nonburst-firing
cells was analyzed separately (see Table 1).
Autoreceptor-mediated inhibition. The response of DA neurons
to intravenous administration of the D2-class receptor agonist quinpirole was used as a measure of autoreceptor sensitivity (for review, see White, 1996 ). After 3 min of stable basal firing, quinpirole was administered through the catheterized tail vein using a
cumulative dosing regimen in which each dose doubled the previous one
at 60-90 sec intervals. The D2-class receptor antagonist eticlopride
(0.1 mg/kg, i.v.) was administered to reverse agonist-induced inhibition. Only one cell was recorded from each rat.
Histology. At the end of the recording, the position of the
electrode tip was marked by passing a 28 µA cathodal current through the electrode for 20 min. This deposited a discrete dye spot. Rats were
then deeply anesthetized with additional chloral hydrate and perfused
transcardially with 0.9% NaCl followed by 10% formalin. Brains were
stored in 10% formalin until serial coronal sections (30 µm) were
cut on a freezing microtome (American Optical Corporation, Buffalo,
NY). Sections were then mounted and stained with cresyl violet, and
electrode placement was verified using routine light microscopy.
Drugs. Quinpirole HCl and eticlopride HCl were obtained from
Research Biochemicals (Natick, MA). Chloral hydrate, ketamine, and
heparin were from Sigma (St. Louis, MO). Gentamycin was from ICN
Biochemicals (Aurora, IL). Xylazine was from Phoenix Scientific (St. Joseph, MO). Cocaine HCl was obtained from the National Institute on Drug Abuse (Rockville, MD).
Statistical analyses. SA experiments were analyzed with
repeated measures ANOVA. This analysis considered the group
effect (HRs vs LRs) as a between factor and the following as within
factors, when necessary: hole effect (2 levels, active hole vs inactive hole), days effect (7 levels, days 1-7), and drug effect (2 levels, saline vs cocaine). Electrophysiology data were analyzed with two-tailed Student's t tests comparing HRs and LRs. The
dose-response effects of quinpirole on cell firing rates were analyzed
with repeated measures ANOVA using the doses of quinpirole as the
within factor (11 levels, doses 0-512). The effects of quinpirole were also analyzed with repeated measures analysis of covariance (ANCOVA) using basal firing rate (i.e., quinpirole dose 0) as the covariate and
the doses of quinpirole as the within factor (10 levels, doses 1-512).
This analysis was performed to determine whether any differences between HRs and LRs were caused by differences in basal firing rates
(White and Wang, 1984a ). All correlation analyses were performed with
Pearson's correlation tests. The dose of quinpirole required to
produce inhibition of the firing rate was calculated as the dose that
did not statistically differ from that producing complete inhibition using a paired t test.
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RESULTS |
Only HR rats acquired cocaine SA
In the first experiment, LR and HR rats were tested for
acquisition of cocaine SA (175 µg/kg per injection). Only HR rats developed SA behavior. Thus, as Figure
1a shows, HRs, but not LRs,
developed preference for the active hole versus the inactive one during
the 7 d of testing. In addition, HRs showed greater responding in
the active hole compared with LR rats and slightly, but not
significantly, higher inactive hole responding. Finally (Fig.
1b), the cocaine intake (number of self-infusions) was
greater in HR rats compared with LRs.

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Figure 1.
HRs acquire cocaine SA (175 µg/kg per infusion),
whereas LRs do not. a, HRs and LRs discriminated
differently between the active and inactive holes [group × hole
interaction, F(1,8) = 25.0;
p < 0.001]. LRs showed no preference for the
active hole versus the inactive one throughout the testing procedure
[hole effect, F(1,4) = 1.4;
p > 0.3; hole × days interaction,
F(6,24) = 0.85; p > 0.5], indicating that they did not acquire cocaine SA. Instead, HRs
developed active hole preference during the 7 d of testing [hole
effect, F(1,4) = 48.1;
p < 0.002; hole × days interaction,
F(6,24) = 2.67; p < 0.05], denoting the acquisition of cocaine SA behavior. HRs also
displayed greater responding in the active hole [group effect,
F(1,8) = 37.1; p < 0.001] and slightly higher inactive hole responding [group effect,
F(1,8) = 4.3; p = 0.08] compared with LR rats. b, HR rats showed greater
cocaine intake (number of self-infusions) compared with LRs [group
effect, F(1,8) = 23.4;
p < 0.001]. This difference was present
throughout the cocaine SA experiment [group × days interaction,
F(6,48) = 1.08; p > 0.39]; however, an examination of the figure indicates that no
differences were present during the first SA session. Each
point represents the mean ± SEM of each
group.
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The relationship between the locomotor response to a novel environment
and cocaine SA was confirmed by the positive correlation between these
two behaviors. This correlation was not present on day 1 of SA; it
emerged on day 3 and was maintained until day 7 (Fig.
2).

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Figure 2.
The response to a novel environment is
correlated with the development of cocaine SA. There was an overall
positive correlation between the locomotor response to a novel
environment and average infusions of cocaine over the 7 d of
testing (data not shown; r = 0.82;
p < 0.01). The different scatter plots illustrate
that this correlation was not present on day 1; it emerged on day 3 and
was maintained until day 7. Each point represents an
individual rat. Empty circles represent LR rats;
filled circles represent HRs.
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Differences in cocaine SA were not caused by differences in
sampling behavior
The second experiment was performed to determine whether
differences in cocaine SA behavior were attributable to differences in
sampling (greater overall nose-poking behavior) or differences in
reactivity to the light cue (associated with the active hole). In this
experiment, LR and HR rats were initially tested for saline SA and then
for cocaine SA. During the first 7 d of testing, nose pokes in the
active hole illuminated the hole for 3 sec and delivered saline
infusions. During the subsequent 7 d (i.e., days 8-14), saline
was replaced with cocaine.
HRs and LRs did not exhibit significant differences in responding
during saline SA. Unlike during cocaine SA, both HR and LR rats showed
equal discrimination and preference for the active over the inactive
hole (Fig. 3a). In addition,
HRs and LRs did not differ on any other dependent variable (i.e.,
number of nose pokes in the active hole and in the inactive hole and
number of reinforcers; Fig. 3b). Finally, there was no
relationship between the locomotor response to a novel environment and
saline SA on any of the SA days (see Fig.
4, days 1, 3, and 7).

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Figure 3.
HRs and LRs show no differences in SA for saline.
a, The two groups of animals equally discriminated
between the active and inactive holes [group × hole interaction,
F(1,8) = 1.1; p > 0.3; group × hole × days interaction,
F(6,48) = 0.54; p > 0.7], showing a marked preference for the active hole (associated
with the 3 sec light and the infusion of saline) over the inactive one
[hole effect, F(1,8) = 21.8;
p < 0.002]. In addition, HRs and LRs exhibited
similar nose-poking behavior in the active and inactive hole [group
effect, F(1,8) = 0.37;
p > 0.5; F(1,8) = 0.33; p > 0.5, respectively]. When the saline
solution was replaced with cocaine (175 µg/kg per infusion), however,
nose-poking behavior primarily resembled (data not shown) that observed
in our first experiment (see Fig. 1). This change from saline to
cocaine induced a change in the active hole responding in HRs but not
in LRs [group × drug × days interaction,
F(6,48) = 3.5; p < 0.01]. HRs increased nose poking in the active hole [drug effect,
F(1,4) = 14.3; p < 0.02], whereas LRs did not modify active hole responding [drug
effect, F(1,4) = 1.33;
p > 0.3]. Neither group modified inactive hole
responding at any time [group × drug interaction,
F(1,8) = 0.001; p > 0.98; group × drug × days interaction,
F(6,48) = 0.44; p > 0.84]. The change from saline to cocaine modified the
discrimination of the active versus inactive hole between the two
groups [group × drug × hole × days interaction,
F(6,48) = 3.1; p < 0.02]. Thus, in agreement with our first cocaine SA experiment, during
cocaine SA, LRs did not show preference for the active versus the
inactive hole [hole effect, F(1,4) = 2.3; p > 0.2], whereas HRs maintained a strong
preference for the active hole [hole effect,
F(1,4) = 14.2; p < 0.02]. Each point represents the mean ± SEM of
each group. b, The number of reinforcers (self-infusions
of saline associated with a 3 sec light in the active hole) was similar
in HR and LR rats [group effect,
F(1,8) = 0.02; p > 0.9] and remained constant throughout the saline SA sessions
[group × days interaction,
F(6,48) = 0.88; p > 0.5]. When saline was replaced with cocaine, however, SA behavior
primarily reproduced (data not shown) that obtained in our first
experiment (see Fig. 2). This switch from saline to cocaine induced a
change in SA behavior in HRs but not in LRs [group × drug × days interaction, F(6,48) = 2.4;
p < 0.04]. Thus, HRs rapidly increased their
number of self-infusions [drug effect,
F(1,4) = 35.3; p < 0.01], whereas LRs did not modify their intake behavior [drug effect,
F(1,4) = 1.35; p > 0.3]. Each point represents the mean ± SEM of
each group.
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Figure 4.
No relationship between the locomotor
response to a novel environment and saline SA. There was no correlation
between the response to a novel environment and average infusions of
saline over the 7 d of testing (r = 0.12;
p > 0.7; data not shown). In addition, there was
no correlation between these two behaviors on any of the days tested.
The scatter plots depict results from days 1, 3, and 7 of saline SA.
Each point represents an individual rat. Empty
circles represent LR animals; filled circles
depict HRs.
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When the saline solution was replaced with cocaine, however, SA
behavior in HR and LR rats reproduced that observed in our first
experiment (data not shown). This change from saline to cocaine induced
a rapid increase in SA behavior in HR rats but not in LRs (see Fig. 3
legend for statistics). HRs increased active hole responding,
augmenting the number of self-infusions (see Fig. 3 legend for
statistics). On the other hand, LRs did not modify their active hole
responding or intake behavior between the saline and the cocaine tests.
Neither group changed their inactive hole responding at any time.
It is interesting to note that the shift from saline to cocaine also
induced a change in active versus inactive hole discrimination between
the two groups (Fig. 3 legend). Thus, when switched to cocaine, LRs
stopped preferring the active hole to the inactive one, and
similar to our first experiment (Fig. 1a), they did not differentiate between the two holes. Instead, HRs increased
discrimination between the two holes, showing strong preference for the
active hole.
The activity of VTA DA neurons was higher in HRs
The basal firing rate of VTA DA neurons was higher in HRs than in
LRs. The mean firing rate of VTA DA neurons in HRs was 5.1 ± 0.2 Hz compared with 4.1 ± 0.2 Hz in LRs (Fig.
5a). Firing rates in both
groups of animals were normally distributed (range, 1.0-9.5 Hz),
indicating similar neuronal populations in both groups of animals.
However, the curve was shifted ~1 Hz to the right in HRs compared
with LRs (Fig. 5b).

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Figure 5.
Firing rates in VTA DA cells. a,
HRs exhibited a higher basal firing rate than did LRs
(t226 = 4.94; p < 0.001). Each vertical bar represents
the mean ± SEM of each group. b, The distribution
curve of the DA firing rates (percentage of cells firing at a
particular rate) was similar in HRs and LRs, except that the curve was
shifted ~1 Hz to the right in HRs compared with LRs.
Vertical bars represent the percentage of
cells firing at a particular rate for each group of rats.
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Bursting activity of VTA DA neurons was also higher in HRs than in LRs.
The percentage of spikes occurring in bursts was 46.0 ± 3.5% in HRs compared with 32.6 ± 3.3% in LR rats (Fig.
6a). This difference in
bursting activity paralleled the difference in firing rate. Thus, as
Figure 6b shows, there was a similar positive correlation
between firing rate and bursting activity in both groups of rats.
Figure 7a shows that the
number of burst events was greater in HR compared with LR rats
(7.6 ± 0.6 vs 5.0 ± 0.6 burst events/10 sec, respectively).
HR rats also showed larger burst size (3.2 ± 0.1 spikes/burst)
compared with LR animals (2.7 ± 0.1 spikes/burst) (Fig.
7b); the distribution of burst sizes indicates that HR rats
exhibited a smaller percentage of two-spike bursts and a greater number
of larger bursts compared with LRs (Fig. 7c).

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Figure 6.
Bursting activity in VTA DA cells.
a, HRs exhibited a higher percentage of spikes emitted
in bursts compared with LRs (t104 = 2.79; p < 0.01). Each vertical
bar represents the mean ± SEM of each group.
b, The scatter plot illustrates the relationship between
firing rate and bursting activity. There was a similar positive
correlation between these two variables in both groups of animals (for
LRs, r = 0.66; p < 0.001; for
HRs, r = 0.75; p < 0.001;
comparison of the regression slopes between the two groups,
p > 0.4). Each point represents an
individual cell. Empty circles depict cells from LRs;
filled circles are cells from HRs. c,
Representative traces of a nonbursting or bursting DA
cell are shown.
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Figure 7.
Burst events and burst size in VTA DA cells.
a, HRs exhibited a higher number of burst events per 10 sec compared with LRs (t104 = 3.03;
p < 0.01). b, HRs showed larger
burst sizes (number of spikes per burst) compared with LR rats
(t104 = 2.66; p < 0.01). Each vertical bar represents the mean ± SEM of each group. c, The distribution of burst size
illustrates that HR rats had a smaller percentage of cells with
two-spike bursts and a greater percentage of cells with larger bursts
compared with LRs.
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Table 1 considers burst-firing cells
(cells with at least two triplets during 500 consecutive spikes)
and nonburst-firing cells separately. Both groups of rats showed a
greater percentage of burst-firing cells than nonburst-firing cells. In
addition, both HRs and LRs exhibited a similar proportion of neurons in each cell population. In the burst-firing cell population, HRs displayed greater firing rate, bursting activity, burst events, and
burst size compared with LR rats. No differences were observed between
HRs and LRs in the nonburst-firing cells, perhaps because of the low
number of nonburst-firing VTA DA cells in both groups (5-6
cells/group).
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Table 1.
Impulse activity of VTA and SNc DA cells when the cells
were divided into burst-firing cells (cells that in addition to several
two-spike bursts also displayed at least two triplets during 500 consecutive spikes) versus nonburst-firing cells
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The DA D2-class receptor agonist quinpirole caused a dose-dependent
decrease in the firing activity of VTA DA neurons in both groups of
animals. However, as Figure 8 shows,
quinpirole-induced inhibition was attenuated in HRs compared with LRs.
In fact HRs required an eightfold higher dose of quinpirole to produce
complete inhibition of neuronal firing compared with LRs (256 vs 32 µg/kg). Because the sensitivity of DA cells to agonist-induced
inhibition is negatively correlated with basal firing activity (White
and Wang, 1984a ), the response to quinpirole was also analyzed using an
analysis that controls for differences in baseline firing rates (ANCOVA). When this difference was statistically controlled, there was
no longer a significant group effect, although there was a strong trend
in that direction (p = 0.06). This suggests that the higher basal firing rates in the HR group contributed substantially to the lower sensitivity to quinpirole.

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Figure 8.
Autoreceptor-mediated inhibition of
firing in VTA DA cells. a, Cumulative dose-response
curves illustrating that the DA D2-class receptor agonist quinpirole
induced a dose-dependent decrease in firing activity in both HRs and
LRs [dose effect, F(10,300) = 153.0;
p < 0.001]. This inhibition was attenuated in HRs
compared with LRs [group effect,
F(1,30) = 10.23; p < 0.01; group × dose interaction,
F(10,280) = 6.5; p < 0.001]. The ANCOVA considering the basal firing rate (quinpirole
dose 0) as the covariate [group effect,
F(1,29) = 3.6; p = 0.06; group × dose interaction,
F(9,270) = 7.4; p < 0.001] indicates that these differences were not exclusively caused
by a difference in basal firing activity. Each point
represents the mean ± SEM of each group. b,
Representative rate histograms showing examples of recordings from an
HR or LR animal. Note the greater doses of quinpirole required to
inhibit the firing of VTA DA neurons in HR animals compared with LRs.
The effects of quinpirole were reversed by the D2-class receptor
antagonist eticlopride (100 µg/kg, i.v.).
Arrowheads indicate the time points at which quinpirole
or eticlopride was administered; numbers indicate the
infusion dose (in micrograms per kilogram).
|
|
The activity of SNc DA cells was higher in HRs although these
differences were not as large as those observed in the VTA
The basal firing rate of SNc DA neurons was higher in HRs than in
LRs. The mean firing rate of SNc DA cells in HR rats was 4.6 ± 0.2 Hz compared with 3.8 ± 0.2 Hz in LRs (Fig.
9a). As in the VTA, the
distribution curves of DA firing rates in the SNc were similar in HRs
and LRs (range, 0.5-8.5 Hz) with a 1 Hz rightward shift in HRs
compared with LRs (Fig. 9b).

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Figure 9.
Firing rates of SNc DA cells. a,
HRs exhibited a higher basal firing rate than did LRs
(t120 = 2.40; p < 0.02). Each vertical bar represents
the mean ± SEM of each group. b, The distribution
curve of DA firing rates (percentage of cells firing at a particular
rate) was similar in HRs and LRs, except that the curve was shifted
~1 Hz to the right in HRs compared with LRs. Vertical
bars represent the percentage of cells firing at a
particular rate for each group of rats.
|
|
Bursting activity of SNc DA cells was slightly, but significantly,
higher in HRs than in LRs. As Figure
10a shows, the percentage of
spikes emitted in bursts was 29.6 ± 2.7% in HRs compared
with 22.0 ± 2.7% in LR rats. The correlation analysis (Fig.
10b) revealed that both groups of animals showed a similar
relationship between firing rate and bursting activity. This
correlation was not as strong as that observed in the VTA but met
adequate significance. Figure
11a shows that the number of
burst events was greater in HR compared with LR rats (5.4 ± 0.6 vs 3.6 ± 0.5 burst events/10 sec, respectively). HRs also showed
slightly higher (but nonstatistically significant) burst size compared
with LR rats (2.6 ± 0.1 vs 2.4 ± 0.6 spikes/burst,
respectively) (Fig. 11b); the distribution of burst sizes
(number of spikes per burst) indicates that HR and LR rats exhibited
similar percentages of two-spike bursts and low percentages of larger
bursts (Fig. 11c).

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Figure 10.
Bursting activity in SNc DA cells.
a, HRs exhibited a slightly, but significantly, higher
percentage of spikes emitted in bursting mode compared with LRs
(t111 = 2.00; p < 0.05). Each vertical bar represents the mean ± SEM of each group. b, The scatter plot illustrates the
relationship between firing rate and bursting activity. Both HRs and
LRs displayed a similar positive correlation between these two factors
(for LRs, r = 0.43; p < 0.001;
for HRs, r = 0.57; p < 0.001;
comparison of the regression slopes between the two groups,
p > 0.3). Each point represents an
individual cell. Empty circles depict cells from LRs;
filled circles are cells from HRs. c,
Representative traces of a nonbursting or bursting DA
cell are shown.
|
|

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Figure 11.
Burst events and burst size in SNc DA cells.
a, HRs exhibited a higher number of burst events per 10 sec compared with LRs (t111 = 2.42;
p < 0.02). b, HRs showed slightly
higher burst sizes (number of spikes per burst) compared with LR rats
(t111 = 1.70; p = 0.09). Each vertical bar represents the mean ± SEM
of each group. c, The distribution of burst size
illustrates a large percentage of cells with two-spike bursts in both
HRs and LRs.
|
|
Table 1, considering burst-firing and nonburst-firing cells separately,
shows that there was a greater percentage of burst-firing than
nonburst-firing cells in both groups of rats and that these percentages
were similar between HRs and LRs. In addition, for each cell
population, there were no differences between HRs and LRs in firing
rate, bursting activity, burst events, or burst size.
In the SNc, quinpirole dose-dependently decreased DA cell
firing in both groups of animals. However (Fig.
12), the inhibitory effect of
quinpirole was reduced in HRs compared with LRs. As in the VTA, ANCOVA
indicated that the group differences in basal firing contributed to the
apparent differences in autoreceptor sensitivity.

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[in a new window]
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Figure 12.
Autoreceptor-mediated inhibition of
firing in SNc DA cells. a, Cumulative dose-response
curves illustrating that the DA D2-class receptor agonist quinpirole
induced a dose-dependent decrease in firing activity in both HRs and
LRs [dose effect, F(10,190) = 80.4;
p < 0.001]. This inhibition was attenuated in HRs
compared with LRs [group effect,
F(1,19) = 5.3; p < 0.04; group × dose interaction,
F(10,190) = 4.1; p < 0.001]. The ANCOVA considering the basal firing rate (quinpirole
dose 0) as the covariate [group effect,
F(1,18) = 4.1; p = 0.06; group × dose interaction,
F(9,171) = 4.5; p < 0.001] indicates that these differences were not entirely caused by
difference in basal firing activity. Each point
represents the mean ± SEM of each group. b,
Representative rate histograms showing examples of recordings from an
HR or LR rat. Note the greater doses of quinpirole required to suppress
the firing of SNc DA neurons in HR animals compared with LR animals.
The effects of quinpirole were reversed by the D2-class receptor
antagonist eticlopride (100 µg/kg, i.v.). Arrowheads
indicate the time points at which quinpirole or eticlopride was
administered; numbers indicate the infusion dose (in
micrograms per kilogram).
|
|
 |
DISCUSSION |
These results demonstrate that a vulnerability to
self-administer cocaine is associated with increased impulse
activity of midbrain DA cells. Thus, animals with increased liability
to self-administer cocaine had greater impulse activity of VTA and, to
a lesser extent, of SNc DA cells compared with animals with reduced
drug vulnerability.
Locomotor response to a novel environment predicts acquisition of
cocaine SA
Rats with a high response to a novel environment acquired cocaine
SA, whereas rats with low reactivity to the novel context did not. We
also found that cocaine intake was positively correlated with the
locomotor response to a novel environment and that HRs showed greater
drug intake compared with LR rats. Previous findings have shown that
the locomotor response to novel environments predicts acquisition of
amphetamine SA (Piazza et al., 1989 , 1990 ; Pierre and Vezina, 1997 ),
and here we provide evidence, for the first time, that response to
novel contexts also predicts acquisition of cocaine SA in male rats.
The question could arise as to whether these findings reflect
differences in cocaine sensitivity or simply reflect behavioral characteristics that could be unrelated to drugs such as differences in
hole exploration and/or preference for the light associated with the
active hole. However, such factors cannot account for our findings
because during sessions in which animals self-administered saline, HRs
and LRs showed similar nose-poking behavior and responded equally for a
light stimulus and saline infusion. In addition, there was no
correlation between the response to a novel environment and saline SA.
Similar findings have been reported by Piazza et al. (1990) , who showed
that differences in amphetamine intake are independent of differences
in nose poking in the SA chamber.
Taken together, these results suggest that the locomotor response to a
novel environment specifically predicts differences in drug
sensitivity. Differences in drug sensitivity between HRs and LRs are
also supported by the finding that HRs exhibit higher rates of
maintained responding for cocaine over a wide range of doses and ratios
compared with LRs (Deroche et al., 1995 ; Grimm and See, 1997 ).
Furthermore, our results show that, when saline was replaced with
cocaine, only HRs increased responding. This implies that low doses of
cocaine were reinforcing for HRs but similar to saline for LRs.
Actually, LRs showed preference for the active hole (associated with
the light cue) over the inactive one during saline SA but not during
cocaine SA. Because of this loss of discrimination in LR rats, it is
tempting to suggest that low doses of cocaine could have aversive
properties in LR animals.
Greater impulse activity of midbrain DA cells in HRs
HRs showed greater impulse activity of VTA DA cells and, to a
lesser extent, of SNc DA cells compared with LRs. The level of basal
firing activity in midbrain DA cells is determined, in part, by
impulse-regulating somatodendritic receptors (Aghajanian and Bunney,
1977a ,b ; Roth, 1979 ; Wang, 1981b ; White and Wang, 1984a ,b ; Bunney et
al., 1987 ; Clark and Chiodo, 1988 ; White, 1996 ). These autoreceptors,
primarily of the D2 subtype (White and Wang, 1984b ; Mercuri et
al., 1997 ; Koeltzow et al., 1998 ), are activated by
somatodendritically released DA (Beart et al., 1979 ; Chéramy et
al., 1981 ; Kalivas and Duffy, 1991 ) and reduce DA activity by
hyperpolarizing the cell (Lacey et al., 1987 ; Silva and Bunney, 1988 ;
Mercuri et al., 1992 ). We determined whether differences in firing
rates between HRs and LRs could be caused by differences in
autoreceptor sensitivity. We tested the effects of quinpirole, a direct
D2-class receptor agonist that principally reduces impulse activity by
acting on somatodendritic DA autoreceptors (see White, 1996 ), on
impulse activity of midbrain DA cells in HRs and LRs. HRs showed
decreased inhibitory effects of quinpirole and required an eightfold
higher dose of quinpirole to inhibit DA neurons compared with LR rats.
This could suggest that functional subsensitivity of impulse-regulating
D2 somatodendritic autoreceptors may, at least in part,
contribute to the greater activity of midbrain DA cells in HRs.
However, when differences in basal firing rates were statistically
controlled (with ANCOVA), the apparent differences in quinpirole
sensitivity were no longer statistically significant (p = 0.06). Thus, increased firing rates may
produce a system that becomes more difficult to inhibit via D2
autoreceptors or via other inhibitory inputs (for example, see Lacey et
al., 1988 ; Johnson and North, 1992 ; Engberg et al., 1993 ; Seutin et
al., 1994 ; Cameron and Williams, 1995 ; Bonci and Williams, 1996 ; Brodie and Bunney, 1996 ; Lucas et al., 1998 ).
Perhaps one of the most interesting findings in this study is the
greater burst event frequency and number of spikes per burst in HRs
than in LRs. These differences in bursting could depend on differences
in the intrinsic properties of neurons (for example, see Johnson et
al., 1992 ; Seutin et al., 1993 , 1994 ; Mercuri et al., 1994 ; Amini et
al., 1999 ; Wilson and Callaway, 2000 ; for review, see Overton and
Clark, 1997 ) or could also be related to differences in excitatory
glutamatergic inputs (for review, see Grace, 1991 ; White, 1996 ;
Overton and Clark, 1997 ; Clark and Overton, 1998 ).
Functional implications
The differences in firing rate and bursting activity between HRs
and LRs in midbrain DA cells could, at least in part, explain the
differences in DA levels that have been reported in the striatal complex between these two groups of animals. Bursting activity of DA
neurons dramatically increases DA release (Gonon, 1988 ; Suaud-Chagny et
al., 1992 ; Chergui et al., 1994 ). In the NAc (receiving DA input
from the VTA), HRs exhibit enhanced DA levels under basal conditions,
in response to stress, and after cocaine administration (Bradberry et
al., 1991 ; Piazza et al., 1991 ; Hooks et al., 1992a ; Rougé-Pont
et al., 1993 , 1998 ).
The greater differences between HRs and LRs in the VTA versus the SNc
could have relevant behavioral consequences and explain our findings
with cocaine SA. The mesoaccumbens and mesostriatal pathways play
significant roles in mediating the reinforcing and psychomotor
properties of drugs of abuse; however, mesoaccumbens DA neurons,
particularly those projecting to the shell subregion of the NAc, are
presumably involved in regulating motivation and reward, whereas
nigrostriatal neurons are more implicated in sensory motor integration
(Mogenson et al., 1980 ; Robbins and Everitt, 1996 ; Di Chiara,
1998 ).
Neuroadaptations in mesoaccumbens DA transmission are considered
crucial for facilitating drug addiction (for review, see Robinson and
Becker, 1986 ; Robinson and Berridge, 1993 ; Berridge and Robinson, 1998 ;
White and Kalivas, 1998 ). From this perspective, heightened DA
transmission in HRs would facilitate acquisition and maintenance of SA.
In addition, the VTA is an important site for the initiation of
behavioral sensitization to psychostimulants (Stewart and Vezina, 1989 ;
Vezina, 1993 , 1996 ; Perugini and Vezina, 1994 ; Cador et al., 1995 ,
1999 ; Bjijou et al., 1996 ), a phenomenon that is considered to be
associated with drug craving and addiction (for review, see Robinson
and Berridge, 1993 ). Increased activity of VTA DA cells could thus be
responsible for increased sensitization in HRs (Hooks et al., 1991a ,
1992b ; Jodogne et al., 1994 ; Pierre and Vezina, 1997 ) making HRs more
liable to engage in addictive behaviors. A facilitatory role of
increased VTA DA cell activity in drug addiction is also supported by
findings that, similar to HRs, rats rendered vulnerable to drugs by
repeated administration of psychostimulants exhibit increased activity
of midbrain DA cells as well as autoreceptor subsensitivity (White and
Wang, 1984c ; Henry et al., 1989 , 1998 ; Ackerman and White, 1990 , 1992 ; Wolf et al., 1993 ; however, see Gao et al., 1998 ).
In conclusion, we used behavioral (cocaine self-administration) and
electrophysiological (single-unit extracellular recordings) techniques
to provide the first evidence that animals with an enhanced propensity
to self-administer cocaine have elevated basal impulse activity of
midbrain DA neurons that are known to modulate the addictive effects of
drugs of abuse. These findings could provide new insight on the factors
underlying individual vulnerabilities to drug addiction.
 |
FOOTNOTES |
Received May 18, 2000; revised Aug. 31, 2000; accepted Sept. 11, 2000.
This work was supported by United States Public Health Service Grant DA
04093 and Senior Scientist Award DA 00456 from the National Institute
on Drug Abuse to F.J.W. M.M. was supported by a National Alliance
for Research on Schizophrenia and Depression young investigator award.
We thank Lorinda Baker for excellent technical assistance with the
histology, Jake Battle and Dr. Donald Cooper for help in writing the
burst analysis program, and Cindy Brandon, Dr. Donald Cooper, Dr. Xiuti
Hu, Dr. Timothy Koeltzow, and Jayms Peterson for invaluable discussions
and advice.
Correspondence should be addressed to Dr. Michela Marinelli, Department
of Cellular and Molecular Pharmacology, Finch University of Health
Sciences, The Chicago Medical School, 3333 Green Bay Road, North
Chicago, IL 60064. E-mail: marinelm{at}finchcms.edu.
 |
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