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The Journal of Neuroscience, May 1, 1999, 19(9):3594-3609
Striatal Neuronal Activity and Responsiveness to Dopamine and
Glutamate after Selective Blockade of D1 and D2 Dopamine Receptors in
Freely Moving Rats
Eugene A.
Kiyatkin and
George V.
Rebec
Program in Neural Science, Department of Psychology, Indiana
University, Bloomington, Indiana 47405
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ABSTRACT |
Although striatal neurons receive continuous dopamine (DA) input,
little information is available on the role of such input in regulating
normal striatal functions. To clarify this issue, we assessed how
systemic administration of selective D1 and D2 receptor blockers or
their combination alters striatal neuronal processing in freely moving
rats. Single-unit recording was combined with iontophoresis to monitor
basal impulse activity of dorsal and ventral striatal neurons and their
responses to glutamate (GLU), a major source of excitatory striatal
drive, and DA. SCH-23390 (0.2 mg/kg), a D1 antagonist, strongly
elevated basal activity and attenuated neuronal responses to DA
compared with control conditions, but GLU-induced excitations were
enhanced relative to control as indicated by a reduction in response
threshold, an increase in response magnitude, and a more frequent
appearance of apparent depolarization inactivation. In contrast, the D2
antagonist eticlopride (0.2 mg/kg) had a weak depressing effect on
basal activity and was completely ineffective in blocking the neuronal response to DA. Although eticlopride reduced the magnitude of the GLU
response, the response threshold was lower, and depolarization inactivation occurred more often relative to control. The combined administration of these drugs resembled the effects of SCH-23390, but
whereas the change in basal activity and the GLU response was weaker,
the DA blocking effect was stronger than SCH-23390 alone. Our data
support evidence for DA as a modulator of striatal function and suggest
that under behaviorally relevant conditions tonically released DA acts
mainly via D1 receptors to provide a continuous inhibiting or
restraining effect on both basal activity and responsiveness of
striatal neurons to GLU-mediated excitatory input.
Key words:
striatum; dopamine; glutamate; single-unit activity; iontophoresis; SCH-23390; eticlopride
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INTRODUCTION |
Striatal neurons integrate
cognitive, motivational, and sensorimotor information for behavioral
output (Graybiel, 1995 ). Glutamate (GLU), which is released from both
corticostriatal and thalamostriatal fibers, plays a crucial role in
this integrative process by controlling striatal neuronal excitability
(Groves, 1983 ; Parent and Hazrati, 1995 ; Wilson and Kawaguchi,
1996 ). Striatal neurons also receive dense input from dopamine
(DA)-containing afferents, which arise from midbrain nuclei and synapse
in close relation to GLU terminals (Smith and Bolam, 1990 ). Although DA
is known to be important in regulating various physiological and
behavioral functions (Fibiger and Phillips, 1986 ; Grace, 1991 ; Le Moal
and Simon, 1991 ), its essential role has been difficult to
characterize. Ample in vitro and in vivo
electrophysiological data suggest that DA acts as a modulator altering
the efficiency of neuronal responses to other inputs, particularly to
GLU (Calabresi et al., 1997 ; Grenhoff and Johnson, 1997 ; Cepeda and
Levine, 1998 ). Further support for this modulatory role has emerged
from work with awake, freely moving animals, in which iontophoretic DA
has been shown to attenuate neuronal excitations occurring during
somatosensory stimulation or behavior (Rolls et al., 1984 ; Kiyatkin and
Rebec, 1996 ) but to have bidirectional effects on the GLU response
(Pierce and Rebec, 1995 ; Kiyatkin and Rebec, 1996 ). Although these data
suggest that DA modulates the processing of behavior-related
information, the pattern of such modulation, its mechanisms, and its
role in regulating physiological and behavioral processes remain unclear.
An interesting feature of striatal DA transmission is that apart from
phasic fluctuations in release associated with specific environmental
and behavioral events, there appears to be a relatively stable level of
continuous DA release (Grace, 1991 ; Le Moal and Simon, 1991 ).
Consistent with this view, midbrain DA neurons discharge in
vitro without any excitatory input (Bunney et al., 1991 ) and most,
if not all, are tonically active in vivo (Dai and Tepper, 1998 ; Kiyatkin and Rebec, 1998 ). In fact, although the activity of most
DA neurons is phasically modulated by various somatosensory stimuli
(Chiodo et al., 1980 ; Strecker and Jacobs, 1985 ; Kiyatkin, 1988 ) and
during behavior (Schultz, 1986 ), the mean rate of activity remains relatively stable (Miller et al., 1981 ; Steinfels et al., 1983 ;
Strecker and Jacobs, 1985 ; Trulson, 1985 ). Although a deficit in DA
transmission results in profound changes in striatal functioning implicated in various cognitive and motor diseases (Grace, 1991 ; Zigmond, 1994 ), the role of tonic DA input in regulating normal striatal functions remains unclear.
The present study was designed to shed light on the role of
endogenously released DA in regulating striatal neuronal functions and
the receptor mechanisms involved in mediating this action. Single-unit
recording was combined with iontophoresis to examine changes in
spontaneous impulse activity and the responses of dorsal and ventral
striatal neurons to DA and GLU induced by DA receptor blockade. Because
the cellular effects of DA are mediated via two distinct families of
receptors (Cooper et al., 1991 ; Jackson and Westlind-Danielsson, 1994 ),
we used systemic administration of selective D1 (SCH-23390) and D2
(eticlopride) antagonists (Neve and Neve, 1997 ) or their combination.
To ensure behaviorally relevant conditions, all recordings were
performed in awake, unrestrained rats.
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MATERIALS AND METHODS |
Animals and surgery. Data were obtained from male,
Sprague Dawley rats, weighing ~400 gm and bred in our animal colony
from source animals supplied by Harlan Industries (Indianapolis, IN). All animals were housed individually under standard laboratory conditions (12 hr light/dark cycle beginning at 7:00 A.M.) with ad libitum access to food and water. Experiments were
performed in compliance with the Guide for the Care and Use of
Laboratory Animals (National Institutes of Health, Publication 865-23)
and were approved by the Indiana University Bloomington Institutional Animal Care and Use Committee.
Rats were anesthetized with chloropent (0.33 ml/100 gm, i.p.), mounted
in a stereotaxic apparatus, and prepared for subsequent single-unit
recording as described in detail previously (Kiyatkin and Rebec, 1996 ).
For recording in the striatum, a hole was drilled unilaterally through
the skull (1.2-1.4 mm anterior and 2.0 mm lateral to bregma), and the
dura was carefully retracted. A plastic, cylindrical hub, designed to
mate with the microelectrode holder on the recording day, was centered
over the hole and secured with dental cement to three stainless steel
screws threaded into the skull. One screw served as both electrical
ground and attachment for the head-mounted preamplifier. The hub was
sealed with silicone rubber to prevent drying of the brain surface.
After a 3-4 d recovery period, during which each animal was habituated
to the recording chamber for a total of 4-6 hr, the recording session
began and resumed on each of the next 2-5 d. During the recovery
period, most animals were also habituated to the injection procedure, in which saline was injected subcutaneously once daily to the lower
back area.
Single-unit recording and iontophoresis. Four-barrel,
microfilament-filled, glass pipettes (Omega Dot 50744; Stoelting, Wood Dale, IL), pulled and broken to a diameter of between 4 and 5 µm,
were used for single-unit recording and iontophoresis. The recording
and balance barrels contained 3 M and 0.25 M
NaCl, respectively, and the remaining barrels were filled with 0.25 M solutions of l-GLU monosodium salt and DA hydrochloride
(Sigma, St. Louis, MO) dissolved in distilled water, pH 7.5 and 4.5, respectively. Retaining (approximately ±8 nA) and ejecting
(±5-60 nA) currents were applied with a constant current generator
(Dagan 6400; Dagan, Minneapolis, MN). The in vivo resistance
of the drug-containing barrels ranged between 20 and 40 M (measured
at constant current), whereas the recording channel had an impedance of
~4-10 M (measured at 1 kHz). To prevent electric cross-talk
between channels, the microfilaments were removed from the upper part
of the pulled pipettes, and the opening of each barrel was separated by
2-3 mm and covered with paraffin. The multibarreled pipette was filled with fresh drug solutions <1 hr before the beginning of each recording session and fixed in a microdrive assembly, which allowed for 11 mm of
dorsoventral travel (Rebec et al., 1993 ). The microdrive assembly was
inserted into the skull-mounted hub, and the electrode was advanced 4.0 mm below the skull surface to the starting point of unit recording.
Neuronal discharges were passed through a head-mounted preamplifier (LF
441CN; National Semiconductor), and all electrical connections from the
microdrive assembly were fed outside the recording chamber via shielded
cable through an electric swivel. Electrophysiological signals were
amplified, filtered (bandpass, 100-3000 Hz), and stored on an audio
channel of a videocassette recorder (VCR). Spike activity was monitored
on-line with a digital oscilloscope and audioamplifier and counted in 2 sec bin widths by computer in conjunction with an amplitude-sensitive
spike discriminator. A second audio channel of the VCR was used to mark
iontophoretic applications and behavioral events. Behavioral activity
was recorded on the video channel.
All recordings took place during the day (10:00 A.M.-6:00 P.M.) in a
Plexiglas cage (35 × 35 × 40 cm) housed inside a
sound-attenuating, electrically shielded chamber within view of a video
camera. After the isolation of single-unit discharges (signal-to-noise
ratio of at least 3:1), data collection for each neuron usually lasted for 20-30 min. In most experiments, our protocol included several brief (20 sec) applications of GLU (0 to 40 nA) and DA (0 to +40 nA),
performed at 1-2 min intervals with the same or increasing currents.
To detect silent cells, some electrodes were advanced during continuous
or pulsatile ejections of GLU at low currents. These units were tested
with DA during continuous GLU application.
All iontophoretic applications used for statistical analysis were
performed when the animals rested quietly with no sign of overt
movement. Data obtained during spontaneous movements were analyzed separately.
Pharmacological treatments. Approximately 2-3 hr
after recording began, animals received one of three treatments: 0.2 mg/kg SCH-23390
[R(+)7-chloro-8-hydroxy-3-methyl-1-phenyl-2,3,4,5-tetrahydro-1H-3-benzazepine hydrochloride]; 0.2 mg/kg S( )-eticlopride HCl
(ETI); or their combination, 0.2 mg/kg SCH plus 0.2 mg/kg ETI.
Both drugs have high antagonistic activity at either D1 or D2 DA
receptor types (relative D1:D2 affinity, SCH = 2500:1 and ETI = 1:514,000; Neve and Neve, 1997 ) and, at these doses, interactions
with other receptors, particularly 5-HT2 receptors in the case of SCH,
appear to be negligible (Bischoff et al., 1986 ; Hjorth and Carlsson,
1988 ). SCH and ETI (Research Biochemicals International, Natick, MA) were dissolved in saline immediately before use and injected
subcutaneously. Control animals received saline. In most cases, the
injections were performed during neuronal recording to permit predrug
and postdrug comparisons of drug-induced changes in impulse activity and responsiveness to DA and GLU. Further recordings were made from
stochastically sampled units tested at different times (up to 180 min)
after drug injection. The relatively long period of postinjection
neuronal sampling permitted a rough estimation of the time course of
drug action.
Histology. After completion of the last recording session,
rats were deeply anesthetized with chloropent, and an epoxy-insulated tungsten electrode, inserted into one barrel of the pipette, was lowered into the recording area. Current was passed through the electrode (50 µA for 15-20 sec) to produce microlesions at depths of
5.0 and 7.0 mm below the skull surface. Rats were then perfused transcardially with formosaline, and the brain was removed and stored
for subsequent histological processing. Brain tissue was frozen, cut
(50 µm sections), mounted on slides, and stained with cresyl violet.
The location of each recording site was determined from histological
data on the electrode track, and depth information was noted on the
microdrive assembly at the time of each recording. The atlas of Paxinos
and Watson (1986) served as the basis for both electrode placement and
histological analysis.
Data analysis. Spontaneous impulse activity was
characterized by mean rate (X), SD, and coefficient of
variation (CV), all of which were calculated for each recorded unit
based on a 30 sec period of quiet rest (bin width, 2 sec). Although the
striatum in awake, unrestrained rats contains a large amount of silent units, which generate discharges during GLU application and become inactive again after the GLU ejection current is turned off (Kiyatkin and Rebec, 1999 ), such units were not included in our sample of spontaneously active cells.
Individual iontophoretic responses were considered significant (i.e.,
excitation or inhibition), when mean rates during iontophoresis and the
immediately preceding equivalent period were statistically different
(p < 0.01; two-tailed Student's t
test). These responses were also assessed in terms of onset and offset
latencies, absolute and relative magnitudes, and the effect of ejection
current (dose-response relationships). To detect the effect of DA and
GLU on neuronal activity in a group, we used a one-way,
repeated-measures ANOVA and made between-group comparisons on
the number of units sensitive to the ejected substances and the ratio
of excitation and inhibitions for each ejection current. In units
tested with multiple GLU applications at different currents, we also
assessed the response threshold (the minimum current necessary for
inducing a significant and consistent change in discharge rate during a
series of tests). Because the duration of each recording ranged from 6 to 90 min, which sometimes included periods of spontaneous movement,
not all units were tested equally with DA or GLU. Thus, not all
recorded units were included in assessments of response thresholds and dose-response relationships. Our results are reported as numbers of
both recorded units and iontophoretic tests.
Various relationships between impulse activity and iontophoretic
responses were evaluated with standard statistical techniques, including natural log (ln) transformations, ANOVAs, and correlation and
regression analyses. Off-line analysis of videotape records was used to
assess changes in impulse activity during bouts of spontaneous behavior
(e.g., grooming, locomotion, and rearing) and presentation of
somatosensory stimuli; the iontophoretic responses affected by
movements or stimuli were considered separately.
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RESULTS |
Four groups of neuronal data were analyzed: control, SCH, ETI, and
SCH plus ETI. Drug data were obtained from 18 rats (six per group); 32, 33, and 31 units were recorded after administration of SCH, ETI, and
their combination, respectively. Most units were stochastically sampled
and tested at different times after drug administration, providing data
for group analysis of drug-induced neuronal changes. Our paradigm also
allowed some units to be tested both before and after drug
administration to permit an analysis of drug-induced neuronal changes
in individual units. Postdrug data were analyzed for time-dependent
effects on discharge rate and responses to GLU and DA. Because some
units were recorded for a relatively long time (>20 min), the number
of data points (impulse activity values and iontophoretic responses) in
each sample was larger than the number of recorded units. Control data were obtained from the same 18 rats before drug administration (57 units) as well as from 20 drug-naive rats (150 units). Because neurons
in dorsal (caudate putamen) and ventral striatum (accumbens core) have
similar impulse activity and comparable responses to GLU and DA in
awake, unrestrained rats (Kiyatkin and Rebec, 1996 , 1999 ), these units
were combined for most statistical analyses.
Changes in behavior induced by DA antagonists
Compared to the control state (quiet rest with periodic episodes
of locomotion, head and body movements, grooming, rearing, etc.), each
of the drug treatments had similar inhibitory effects on behavior.
Within 5-15 min after injection, the rats appeared sedated and sat
quietly in the same place; they slowly returned to predrug activity
60-90 min after drug administration. Apart from these common sedative
effects, some differences also appeared. After SCH, for example, rats
frequently vocalized or engaged in vacuous chewing in response to touch
or air puff, whereas ETI often elicited defecation and urination. The
SCH plus ETI combination elicited all these effects, which were more
prolonged and more pronounced than after either drug alone.
Spontaneous impulse activity
Striatal neurons in the control state (n = 207)
had highly variable rates and patterns of spontaneous discharges (Table
1). As shown in Figure
1A, the X and SD were
distributed asymmetrically with modal values shifted toward the low
end. The majority of recorded units had a low rate of activity: 31.0%
at 0.1-2 impulses/sec, 26.1% at 2-4 impulses/sec, and 15.0%
at 4-6 impulses/sec. Only 27.9% of our recorded units had mean rates
>6 impulses/sec. An ln transformation of X and SD values (Fig.
1B) revealed that they were distributed according to
ln normal law with a close matching of mean and modal values calculated
for ln derivatives of X and SD. The results of this transformation also
indicate that in terms of impulse activity our neuronal population is
homogenous and that ln derivatives of X and SD are the best parameters
for statistical characterization of neuronal activity. These parameters
and their distributions were used for further statistical evaluations
of between-group differences in impulse activity. As shown in Figure 1C, mean and SD are closely interrelated (r = 0.789; p < 0.0001), i.e., absolute variability of
impulse flow depends positively on rate. The same strong correlation
was found between X and CV (Fig. 1D;
r = 0.791; p < 0.001) but in the
opposite direction, i.e., mean rate is related negatively to relative
variability (irregularity) of discharges. Although neurons in both
striatal divisions had similar parameters of impulse activity, ventral striatal units (n = 66) had a significantly higher X
(10.35 impulses/sec) and a lower CV (56.51%) than dorsal striatal
cells (n = 141; 4.53 impulses/sec and 75.31%;
p < 0.01).

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Figure 1.
Spontaneous impulse activity of striatal neurons
in awake, unrestrained rats under control conditions. Percent
distributions of X rates (X, impulses/2 sec) and SDs (impulses/2 sec)
(A) and their natural logarithmic transformation
(B). Relationships between X and SD
(C) and X and CV (percentage)
(D). Vertical hatched lines in
B indicate modal values. Regression lines and
coefficients of correlation (r) are shown in
C and D.
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Because units in each treatment group were recorded at different times
after drug administration, we first examined the relationships between
this variable and discharge rate. As shown in Figure
2 (top graphs), neuronal
activity in each sample varied considerably in rate, but was
independent of recording time within each sample. Thus, the period from
10 to 180 min after drug administration was chosen to characterize
spontaneous impulse activity in each treatment group (Table 1; Fig. 2,
middle, bottom).

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Figure 2.
Impulse activity of striatal neurons after DA
receptor blockade. The top rows indicate dependence of
discharge rate (impulses per second) on time after drug administration
(minutes). The middle rows depict percent distributions
of discharge rate in drug-treated (closed circle) and
control (open circle) conditions. Hatched
lines show distribution modes. The bottom rows
depict relationships between discharge rate (X, impulses/2 sec) and SD
(impulses/2 sec) of impulse activity shown in ln form for treatment
(open symbols) and control (closed
symbols) groups. n, Numbers of data points;
r, coefficients of correlation.
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As shown in Table 1 and Figure 2, B and C, all
parameters of impulse activity in the SCH sample were significantly
different from control. Although units with highly variable rates were
recorded after SCH, most had moderate to high rates of activity (see
modal values of rate distributions shown in Fig. 2B).
The X in this group (14.91 impulses/sec) was more than two times that
of control (6.39 impulses/sec; t = 7.84;
p < 0.0001). In addition, the SCH group had a
significantly higher SD (9.36 vs 4.86 impulses/2 sec; t = 7.55; p < 0.0001) and lower CV (42.65 vs 69.31%;
t = 4.65; p < 0.001) than the control
group. Both groups, however, showed similar relationships between mean
and SD (compare coefficients of correlation and regression lines shown
in Fig. 2C and Table 1).
In four of five spontaneously active units recorded both before and
after SCH administration, neuronal activity significantly increased
(Fig. 3,
C17-d-5,
C20-c-3) within 10-15 min after
injection (p < 0.01; Student's t
test). The one remaining unit showed no change in activity.

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Figure 3.
Rate-meter histograms showing impulse activity of
striatal neurons and their responses to GLU (short open
box) and DA (long open box) after administration
of SCH-23390 (SCH). DA and GLU were tested both
on spontaneously active and GLU-stimulated units (line below
histogram). Numbers below iontophoretic
applications indicate ejection current in nanoamperes, no numbers in
subsequent applications indicate the same current as the last indicated
application. In all cases, neuronal activity is presented as impulses/2
sec, and each division on the ordinate of all histograms represents 20 impulses/2 sec. Solid lines below each histogram
indicate periods of overt movement; at all other times, the animals
were at quiet rest. The histological location of individual recordings
in dorsal (NC) and ventral striatum
(NAcc) and their numbers (rat, session, and unit,
respectively) are identified in the top right corner of
each histogram. Arrows above DA tests indicate
significant DA-induced decreases ( ) and increases ( ) in activity;
no arrows indicate no response. Triangles
show cases of GLU-induced depolarization inactivation with rate values
(impulses per second) immediately preceding the cessation of firing. In
the top three examples, SCH was administered in the
middle of the recording, but in all other cases, the antagonist was
injected before the recording began (numbers above these
histograms to the left indicate time in minutes after
SCH).
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Although the behavioral effects of SCH peaked at 30-40 min and usually
disappeared by 80-120 min after drug administration, a time-dependent
trend in rate failed to emerge (Fig. 2A). The group
mean at 120-170 min was similar to that at 20-70 min, and both were
equally higher than control.
Significant differences in neuronal activity also were found between
ETI and control (Table 1, Fig.
2E,F), but the effect of ETI
was opposite in direction and less pronounced than that of SCH. As
shown in Figure 2E, the X distributions of the ETI and control samples were largely superimposable, and the majority of
units in both groups had relatively low to moderate activity rates
(1-8 impulses/sec). In the ETI group, however, there were no units
with high rates (maximal value 11.2 impulses/sec vs 49.5 impulses/sec
in control; see right sides of distributions) and more units with very
low rates (0.22-1.0 impulses/sec) compared with control. The X in the
ETI group (3.53 impulses/sec) was significantly lower than that in
control (6.39 impulses/sec), but this difference was smaller
(t = 2.77; p < 0.01) than that for the
SCH-control comparison (compare t values). Although the SD
in the ETI group was higher than control (t = 2.44;
p < 0.05), these two groups did not differ in CV
(69.31 vs 71.88%; t = 1.13; NS). The close similarity
in neuronal activity of the ETI and control samples is shown in Figure
2F. The regression lines for mean, SD, and the
coefficients of correlation in both groups were very similar (Fig.
2C).
Weak and inconsistent effects of ETI on impulse activity were found in
five spontaneously active units recorded before and after ETI
injection. Discharge rate significantly decreased in three and did not
change in two units (Fig. 4,
21-a-2).

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Figure 4.
Rate-meter histograms showing impulse activity of
striatal neurons and their responses to GLU and DA after administration
of eticlopride and SCH-23390 plus eticlopride. All abbreviations are as
in Figure 3.
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Similar to SCH, no evident time-dependent trend in discharge rate was
seen for the entire recording period after ETI injection (Fig.
2D). It appears, however, that the effect of ETI was
maximal at 20-40 min and became less evident at 140-190 min, when the proportion of units with a higher discharge rate increased to the level
typical of the control state.
Although the SCH-ETI combination had a significant stimulatory effect
on striatal neurons (Table 1, Fig.
2H,I), this effect differed
from that induced by SCH alone. As shown in Figure
2H, the range of X values in the sample (0.23-42.83
impulses/sec) was similar to control (0.10-49.5 impulses/sec), but the
distribution mode was shifted to higher values. The mean rate in this
group (8.08 impulses/sec) was significantly higher than control
(t = 2.43; p < 0.05), but
significantly lower (t = 3.56; p < 0.01) than SCH. The same intermediate values were found for mean SD and
CV, which had significant differences from both the control and SCH
groups. The regression line for mean and SD in the SCH plus ETI group
was almost identical to that for control (Fig. 2I),
and the coefficients of correlation were also similar (Table 1).
Different effects were found in five units successfully recorded both
before and after injection of the SCH plus ETI combination. Activity
increased in two (Fig. 4, C19-b-1) and
did not clearly change in three others. Although the behavioral effects
of the SCH plus ETI combination disappeared by the end of the second hour, neuronal activity remained increased without a time-dependent trend over the entire 3 hr recording period (Fig. 2G).
DA responses
Table 2 summarizes DA responses
(20-30 sec; 5-40 nA) obtained from 122 spontaneously active (83 dorsal and 39 ventral) and 35 GLU-stimulated (31 dorsal and 4 ventral)
striatal neurons in the control state. Under basal conditions, the
GLU-stimulated units had no or very slow sporadic activity (<1
impulses/sec), but maintained an enhanced, relatively stable discharge
rate (2-41 impulses/sec) during continuous, low-current GLU
application (10-20 nA).
Although some units failed to change discharge rate at any current, and
some showed significant increases in activity, DA at any tested current
had a significant inhibitory effect on impulse activity in both
spontaneously active and GLU-stimulated units. The relative magnitude
of inhibition varied between 10 and 80% of baseline rate, but mean
values were comparable at different currents in both spontaneously
active and GLU-stimulated cells (~50%). DA-induced inhibitions
occurred with a variable onset latency (4-12 sec), were relatively
small in magnitude (~50 ± 20% of baseline), and disappeared
slowly after the current was turned off (offset latency of at least
4-12 sec). The pattern of the DA-induced inhibition varied widely in
different cells and at different levels of discharge rate and often
varied in the same unit during repeated DA ejections at the same
current. Representative examples are shown in Figures 3 and 4.
Data obtained from 25 spontaneously active and 26 GLU-stimulated units
tested with progressively doubled currents (5, 10, and 20 nA) revealed
that the inhibitory effect of DA strongly depends on ejection current
(Fig. 5A-C). In
both groups of units, all parameters of the response gradually
increased with increases in DA current. Although ~72% of
spontaneously active and ~92% of GLU-stimulated units were inhibited
by DA at 20 nA, the relative response magnitude was relatively small in
both groups (~45%). Dose-response relationships for each unit,
however, varied in terms of the first appearance of the response and
the extent of the rate decrease with the next higher current.

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Figure 5.
Dopamine responses of striatal neurons in awake,
unrestrained rats under control conditions. Three parameters of the DA
response (A, number of units with inhibitions,
percentage; B, discharge rate before and during DA
application, impulses per second; C, relative magnitude
of DA-induced inhibition, percentage) evaluated in 25 spontaneously
active (open bars) and 26 GLU-stimulated (closed
bars) units are shown at different DA ejection currents (in
nanoamperes). Relationships between basal discharge rate (impulses per
second) and absolute (impulses per second; D) or
relative (percentage; E) changes in rate induced by DA
at the same current (20-25 nA) shown separately for spontaneously
active and GLU-stimulated units. Each graph depicts lines of no effect
(hatched) and regression lines (solid)
and shows number of analyzed tests (n) and
coefficients of correlation (r).
Asterisks indicate significant DA-induced decrease in
discharge rate (*p < 0.05;
***p < 0.001).
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Figure 5, D and E, depicts the relationships
between discharge rate and DA response shown separately for
spontaneously active and GLU-stimulated units tested at the same
currents (20 and 25 nA; 130 and 97 DA tests, respectively). The results
of all tests, except those with significant excitations
(n = 3 and 2, respectively) are shown in ln form.
DA-induced activity strongly correlates with basal activity; the
regression lines in both groups are located below and almost parallel
to the lines (hatched) of no effect. The relative magnitude of
DA-induced activity, in contrast, is independent of discharge rate in
both groups (all coefficients of correlation were not significant). DA
in some cases slightly increased discharge rate (18 of 130 or 13.8%);
most of these increases occurred at low rates of spontaneous impulse
activity (0.4-4 impulses/sec), and in most cases these increases were
not significantly different from pre-DA baseline activity. In
GLU-stimulated units, such DA-induced increases in activity were less
frequent (5 of 97 or 5.2%; p < 0.05 vs spontaneously
active cells).
Table 3 summarizes the DA responses of
spontaneously active neurons in each treatment group. Maximal changes
versus control were found in the SCH group, in which the majority of
units did not show significant DA responses at any tested current (see
Fig. 3 for original examples). DA-induced inhibitions, for example, were seen in only 16.2, 18.5, and 33.3% of applications at currents of
10, 20, and 40 nA, respectively, and the mean change in rate in each
current group was close to 100% of the basal rate (no effect). In the
SCH group, we also observed DA-induced increases in activity, which
were especially frequent at 20 nA current (28 of 81 or 34.6 vs 13.8%
in control); the number of significant excitations (7 of 81 or 8.6%)
was also higher than in control (2.3%). Although an ANOVA revealed
that DA after SCH had a significant inhibiting effect on striatal
activity, this effect was ~8-10 times weaker than in control
(compare F values with Table 2, especially those for the 20 nA groups).
The attenuating effect of SCH on DA responses is evident in Figure
6 (left column), which
depicts the results of statistical analysis of DA-induced changes in
activity with SCH and control at the same current (20 nA). Note that
impulse activity during DA application in the SCH group was slightly
increased or decreased, and the regression line was almost superimposed
on the line of no effect. Although DA-induced inhibitions were rare at
any time after SCH administration, the regression analysis (top
graph; intersection of the regression line with the line of
mean effect in drug-naive rats; ~70%) suggests that the effect
tended (r = 0.228; p < 0.05) to
disappear after ~120 min. In units recorded at later periods,
DA-induced inhibitions were seen more frequently; thus, these later
data were not included in the SCH sample used for statistical analysis
of DA responses.

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Figure 6.
Dopamine responses of striatal neurons (20-25 nA
ejection current) after DA receptor blockade. The top
rows indicate DA-induced activity (percentage) in units
recorded at various times after drug administration
[filled symbols, inhibitions; open
symbols, nonsignificant changes; solid lines,
trends (regression); and hatched lines, mean DA-induced
change in activity in control]. The middle rows depict
relationships between absolute magnitude of DA-induced activity and
basal rate for control and drug-treated groups (large open
circles, drug-treated state; small closed
circles, control). The bottom rows indicate
relationships between the relative magnitude of DA-induced (percentage)
activity and basal discharge rate for control and drug-treated groups
(symbols as in middle row).
n, Numbers of data points; r,
coefficients of correlation.
|
|
Although the number of GLU-stimulated units was small (five cells, 19 tests at 5, 10, and 20 nA currents), a powerful blocking effect of SCH
on DA responses was also evident in this group. In 16 of 19 tests,
there were no significant changes in activity during DA iontophoresis,
and in three cases activity actually increased (Fig. 3,
C16-d-5).
Unlike SCH, DA responses in the ETI group were barely distinguishable
from control (see Table 3; Fig. 6, middle row, and Fig. 4 for original examples). Despite significant differences in
impulse activity, most units tested for up to 180 min after ETI
administration showed DA-induced inhibitions, which occurred in
approximately the same proportions as control. This similarity of DA
responses is shown in Figure 6 (middle column). The
regression lines for both the control and ETI groups were located below
the line of no effect, and they were largely superimposable. It is important to note that after ETI, DA appears to be even more effective at inhibiting fast-firing units compared with control conditions; the
regression line in this group was lower than the line of no effect in
the control group. This difference is especially evident in the bottom
graph, indicating that the relative magnitude of DA-induced changes in
activity was significantly (r = 0.319;
p < 0.05) stronger in units with a higher discharge
rate. Although such fast-firing units were rare in the ETI group, these
same units appear to be more sensitive to DA compared with control units with the same rates. Consistent with this correlation, we found
that GLU-stimulated units (n = 7), which have much
higher discharge rates (range, 2.3-20.1; mean, 10.29 impulses/sec)
compared with spontaneously active units (mean, 3.53 impulses/sec;
p < 0.001), remained highly sensitive to DA after ETI
treatment. DA dose-dependently inhibited GLU-evoked activity in all
tested units (5 nA, 4 of 6 or 66.7%; 10 nA, 12 of 14 or 85.7%; 20 nA,
18 of 23 or 78.3%; and 40 nA, 4 of 4 or 100%) with a potency slightly higher than that in the control group (Table 2).
The SCH plus ETI combination also had an attenuating effect on DA
responses (Table 3, Figs. 4, 6). At low currents, this effect was
approximately as strong as with SCH alone and even stronger at higher
currents. As with SCH alone, we observed DA-induced excitations (9 of
104 or 8.7% vs 7 of 118 or 5.6%; 10-20 nA currents), which were very
rare for control recordings (5 of 283 or 1.8%). The effect of DA was
significant only at one current (10 nA), but it was 5 times lower than
control (compare F values), and such an effect was
completely absent at all other currents. The blocking effect on DA
responses is evident in Figure 6 (middle graph), where
the regression line for DA-induced changes in impulse activity is
completely superimposed on the line (hatched) of no effect. In contrast
to SCH and ETI alone, the effect of SCH plus ETI was prolonged,
blocking DA-induced responses for up to 130 min after drug
administration (top graph).
Although DA was equally ineffective at inhibiting units with different
rates of spontaneous activity (Fig. 6, bottom graph), we unexpectedly found that DA maintains an inhibiting action on GLU-evoked activity (54 tests in 10 units) similar to that in the
control state (Table 2). Significant DA-induced inhibitions of
GLU-evoked activity were found in the SCH plus ETI group in 2 of 6 (33.3%), 8 of 25 (44%), 10 of 14 (71.4%), and 9 of 9 (100%) tests
at currents of 5, 10, 20, and 40, respectively.
GLU responses
Table 4 summarizes responses to
brief applications of GLU (20 sec; 5-40 nA) obtained from 140 spontaneously active (98 dorsal and 42 ventral) striatal neurons in the
control state. In contrast to DA, all striatal neurons were sensitive
to GLU and showed a sustained excitation (onset and offset
latency <2-6 sec), which was relatively stable during repeated GLU
applications; the effect of GLU was significant at each tested current.
The GLU response appeared in different cells at different currents
(from 2.5 to 35 nA; mean threshold, 19.7 ± 1.75 nA;
n = 25) and was frequently accompanied by a decrease in
spike magnitude (up to 2-3 times). An apparent depolarization
inactivation, i.e., a complete disappearance of discharges caused by
overexcitation, however, rarely occurred at the currents used. In some
fast-firing units, the GLU-induced excitation was followed by a
short-term (4-16 sec) rebound-like decrease in activity; this
postexcitatory inhibition was directly related to the magnitude of the
preceding excitation.
Although both the number of GLU-sensitive units and the magnitude of
GLU responses were relatively stable at each current (Table 4), an
individual analysis of units tested with progressively doubled currents
revealed that the GLU response was clearly dose-dependent (Fig.
7A-C). The
magnitude of the GLU-induced excitation, moreover, depended on the
level of basal activity (Fig.
7D,E), whereas absolute magnitude
increased (dorsal striatum, r = 0.665; ventral
striatum, r = 0.657; one regression line is shown for
all spontaneously active units except the most silent), relative
magnitude decreased (dorsal striatum, r = 0.829;
ventral striatum, r = 0.915) with increases in
discharge rate. In both cases, the regression lines intersected with
the line of no effect at ~65 impulses/sec, which approximates the
upper level of spontaneous impulse activity. Units with very low,
sporadic baseline activity had very high relative magnitudes of the GLU
response (1000-25,000%); these data are shown separately (left of the
hatched lines in both graphs). Although dorsal and ventral striatal
units had similar relationships between basal discharge rate and the
parameters of the GLU response, both the basal discharge rate (range,
0.13-50.22; mean, 7.36 impulses/sec) and the absolute magnitude of the
GLU response (range, 2.63-58.17; mean, 17.89 impulses/sec) were higher
in ventral striatal than in dorsal striatal units (range, 0-17.11;
mean, 2.50 impulses/sec and range, 1.28-31.17; mean, 10.34 impulses/sec, respectively).

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Figure 7.
Glutamate responses of striatal neurons in awake,
unrestrained rats under control conditions. Parameters of the GLU
response (A, number of units with excitation,
percentage; B, discharge rate before and during GLU
application, impulses per second; C, relative magnitude
of GLU-induced excitation, percentage) evaluated in 22 units at
different GLU ejection currents (in nanoamperes). Relationships between
basal discharge rate (impulses per second) and absolute (impulses per
second; D) or relative changes (percentage;
E) induced by GLU shown separately for units recorded
from dorsal (caudoputamen) and ventral striatum (accumbens). Regression
lines (common for all striatal units) are solid, and
lines of no effect are hatched. n, Number
of tests; r, coefficients of correlation.
Vertical hatched line indicates the border between
spontaneously active and sporadically active units.
|
|
As shown in Table 4 and Figure 8, the
most pronounced effect on GLU responses was found in the SCH sample
(Fig. 3). Although similar numbers of excitations and an equally strong
effect of GLU were found in both the SCH and control groups, the
absolute magnitude of the GLU-induced excitation in the former group
was significantly higher at each current (Fig. 8B).
After SCH, GLU-induced excitations occurred at much lower currents
(from 0 to 10 nA) than control with a significant decrease in mean
threshold (4.17 ± 0.83 nA; n = 16 vs 19.7 ± 1.75 nA; n = 25 in control; p < 0.01). In addition, 5 of 17 units tested after SCH responded to GLU with partial or total cessation of firing (Fig. 3,
C22-b-3,
C17-d-8, C18-a-6) at currents (30-40
nA, but in one cell at 20 nA; mean, 31.43 nA; n = 7 units) that did not have this effect under control conditions. This
presumed depolarization inactivation always occurred during GLU
ejection at the peak of excitation when rates reached 60-145
impulses/sec (mean, 93.62 impulses/sec; n = 7). This
range of GLU-induced depolarization inactivation approached the upper limits of spontaneous activity (Fig. 8C; 120-140
impulses/sec), which was much higher than control (60-70
impulses/sec). This cessation of firing was relatively short-lived
(4-20 sec), reversible, and repeatable during subsequent tests (Fig.
3). The GLU-induced excitation was frequently followed by a pronounced
postexcitatory inhibition (Fig. 3,
C20-c-3,
C22-b-3). This rebound effect greatly varied in magnitude, but occurred in most tested units (11 of 17),
especially those with high activity rates and high-magnitude GLU
responses.

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Figure 8.
Glutamate responses of striatal neurons after DA
receptor blockade. Three graphs in each vertical column show,
respectively, the number of excitations, percentage
(A), changes in rate induced by GLU, impulses per
second (B), and the results of regression
analysis of GLU responses in control (filled
symbols) and drug-treated (open symbols)
states.
|
|
Although GLU responses in the ETI group resembled the control state
(Table 4, Fig. 8), the mean threshold of the GLU-induced excitation
(8.47 ± 1.27 nA; range, 0-20 nA; n = 18) was
significantly lower. The excitations also grew with an increase in
current, but their absolute magnitudes were smaller than control (Fig. 8B) and frequently decreased (5 of 21 units) with a
further increase in current. Moreover, regression analysis (Fig.
8C) revealed that the maximum rate of GLU-induced excitation
under ETI is more than two times smaller (~25 impulses/sec) than
control. Although most units recorded after ETI had slow discharge
rates (0.1-13 impulses/sec) and low-magnitude GLU excitations (2.4-26
impulses/sec), we observed postexcitatory inhibitions in 8 of 21 units
(some were very pronounced, see examples in Fig. 4) and in three, a
presumed depolarization inactivation. In contrast to SCH, cessation of
activity occurred at much lower rates (~15-20 impulses/sec), often
resulting in a biphasic GLU response (excitation followed by inhibition).
Most units in the SCH plus ETI group showed more powerful GLU responses
than control (Table 4, Fig. 8; see Fig. 4 for original examples), but
this effect was less pronounced than that induced by SCH alone. The
GLU-induced excitation occurred at low currents (range, 0-15; mean,
6.72 ± 1.42 nA; n = 15; higher than SCH but significantly lower than control) and was manifest as a strong, dose-dependent increase in discharge rate, which was larger than control (Fig. 8B). Although many GLU responses were
indistinguishable from those in control conditions, 6 of 19 cells
showed a rebound inhibition of varying degrees, and three showed a
partial or complete cessation of firing during GLU iontophoresis at
high currents (40 nA). Regression analysis of GLU responses in the SCH
plus ETI group (Fig. 8C) revealed that, although the
discharge rate of tested units was faster than control, the upper limit
of GLU-induced activity was close (~45-50 impulses/sec) to that in
the control state.
 |
DISCUSSION |
Most information about the role of DA in regulating striatal
function is based on electrophysiological changes induced by applications of DA or receptor-selective DA agonists. This approach, commonly used in anesthetized and in vitro preparations, has
been highly productive in determining the basic ionic and receptor mechanisms of DA action on single units and the pattern of DA interactions with other neurochemical signals (for review, see White
and Hu, 1993 ; Grenhoff and Johnson, 1997 ), but such an approach largely
ignores the fact that under natural conditions DA is continuously released and interacts with other, more phasic inputs, particularly GLU. The present study used selective DA antagonists to prevent endogenous DA from interacting with its receptors, which allowed us to
assess its role in regulating the spontaneous activity of striatal
neurons and their responsiveness to iontophoretic GLU. Our units also
were tested with iontophoretic DA not only to confirm DA antagonism but
also to clarify the receptor mechanisms of DA action. Finally, we used
freely moving rats to ensure a normal level of endogenous DA activity
on which to base our pharmacological and iontophoretic data.
Responses to iontophoretic DA before and after DA
receptor blockade
Consistent with our previous results (Kiyatkin and Rebec,
1996 ), iontophoretic DA weakly decreased the activity of most dorsal and ventral striatal neurons. Although dose-dependent, the response increased only slightly to each doubling of current and was independent of discharge rate. Comparable results were obtained from silent or
sporadically active units tonically stimulated by continuous GLU
application. Thus, to the extent that a brief DA application mimics
phasic DA release, it appears that under behaviorally relevant conditions endogenously released DA has weak inhibitory effects on
spontaneously active and GLU-stimulated neurons. These effects, moreover, were attenuated by SCH but not ETI, strongly suggesting an
inhibitory role for D1 receptors. This conclusion also agrees with
results obtained from both anesthetized (Johnson et al., 1986 ; Ohno et
al., 1987 ; Hu and Wang, 1988 ; White and Hu, 1993 ) and in
vitro preparations (Mercuri et al., 1985 ; Calabresi et al., 1987 ;
Pennartz et al., 1992 ; Surmeier et al., 1992 ; Nicola et al., 1996 ;
O'Donnell and Grace, 1996 ). Interestingly, however, the SCH plus ETI
combination revealed a difference in the DA response between
spontaneously active and GLU-stimulated units. Among spontaneously active units, the combination had a stronger attenuating effect than
SCH alone. This finding suggests that D2 blockade enhances the effect
of D1 antagonism, arguing for a cooperative interaction between these
receptors in mediating DA effects (White and Hu, 1993 ). GLU-stimulated
units, on the other hand, showed almost no attenuation of the DA
response after the SCH plus ETI combination. This outcome is difficult
to explain but it is noteworthy that haloperidol, a D2 antagonist with
some D1 affinity, frequently fails to block DA-induced inhibitions of
striatal (Ben-Ari and Kelly, 1976 ; Skirboll and Bunney, 1979 ; Johnson
et al., 1986 ) and prefrontal cortical neurons (Thierry et al., 1986 ;
Godbout et al., 1991 ), especially those activated by GLU. We have
reported similar failures of haloperidol to reverse amphetamine-induced inhibitions of striatal neurons (Haracz et al., 1993 ). Of course, haloperidol itself may have unusual actions, some of which may derive
from its affinity for sigma receptors (Taylor and Dekleva, 1987 ), but
the failure of D1 plus D2 blockade to prevent DA-induced inhibitions of
GLU-stimulated units requires further investigation.
Interestingly, Ohno et al. (1987) reported DA-induced increases in
striatal activity during local SCH application. These data have been
interpreted as evidence that D1 blockade unmasks an excitatory action
of DA at D2 receptors. Although we found that SCH increased the
frequency of DA-induced excitations, this effect was still quite rare,
occurring in <10% of our tests. In fact, similarly rare excitations
were seen after the SCH plus ETI combination. Thus, rather than suggest
an excitatory role for D2 receptors, our data indicate instead that by
removing an inhibitory DA influence, blockade of either D1 or D1 plus
D2 receptors simply makes striatal neurons increasingly sensitive to
extraneous stimuli. This conclusion is supported by our results with
GLU in which both SCH alone and in combination with ETI enhanced the
excitatory effects of iontophoretic GLU.
The role of tonic DA input in regulating spontaneous
neuronal activity
The changes in spontaneous activity observed after our treatments
were consistent with our data on DA iontophoresis. Relative to control,
SCH, which attenuated the inhibiting action of DA, strongly increased
spontaneous neuronal activity, whereas ETI, which did not affect or
slightly enhanced the DA-induced inhibition, caused spontaneous
activity to decline. Thus, the increase in basal activity found during
D1 receptor blockade may result from neuronal disinhibition caused by a
removal of tonic D1 receptor-mediated inhibitory action of endogenous
DA. In contrast, an inhibiting effect of ETI on basal activity may
reflect an enhancement of DA-induced inhibition caused by a
drug-induced increase in striatal DA release (Imperato and Di Chiara,
1988 ; Gainetdinov et al., 1994 ), owing to a preferential action on
release-modulating D2 receptors (Bunney et al., 1991 ). These effects of
D1 and D2 blockade were combined after SCH plus ETI, which increased
striatal activity, albeit to a lesser extent than after D1 blockade
alone. Thus, it appears that under behaviorally relevant conditions
endogenously released DA, interacting with D1 receptors, exerts a
strong restraining influence on the spontaneous activity of striatal
neurons. Removal of this tonic influence may be responsible, at least
in part, for the increase in neuronal excitability found after DA
denervation (Schultz, 1982 ; Orr et al., 1986 ; Calabresi et al., 1993 ;
Mulder et al., 1996 ). Interestingly, systemic quinpirole, a D2 agonist, also inhibits striatal neurons in behaving rats, suggesting an inhibitory function for D2 receptors as well (Hooper et al., 1997 ). Our
failure to reverse DA-induced inhibitions after ETI as well as the
inconsistent effects of iontophoretic quinpirole on striatal and
accumbal neurons (White and Hu, 1993 ) suggest, however, that at least
some of the inhibitory action of systemic quinpirole may reflect
extrastriatal influences.
Because both SCH and ETI have a high selectivity for DA receptors (see
Materials and Methods), an interaction of these drugs with other
receptors is unlikely to contribute significantly to our results. SCH,
for example, has a limited affinity for 5-HT2 receptors (Bischoff et
al., 1986 ), but 5-HT2 antagonistic activity is simply absent in
vivo at the dose used in our study (Hjorth and Carlsson, 1988 ).
Moreover, ritanserin, a relatively selective 5-HT2 antagonist, has no
consistent effect on spontaneously active striatal neurons in behaving
animals (Rosa-Kenig et al., 1993 ).
Although we are confident that specific alterations in DA transmission
are a primary cause for the observed changes in striatal activity, it
is more difficult to explain their underlying mechanisms. Because DA
receptors are widely distributed within the brain, and systemic DA
antagonists influence DA transmission at multiple sites, the changes in
striatal activity may reflect both local alterations in DA input and a
modification of other inputs associated with drug actions at
extrastriatal sites. The ability of SCH and SCH plus ETI to attenuate
striatal DA responses confirms that DA transmission is effectively
blocked within the striatum, arguing for the role of local alterations
in DA input in mediating the neuronal changes. We cannot exclude the
possibility, however, that modified activity in striatal, particularly
GLU afferents, may contribute to these changes. In fact, an increased
GLU input has been implicated in the hyperactivity and
hyperexcitability of striatal neurons after chemical DA denervation
(Calabresi et al., 1993 ).
The role of tonic DA input in regulating GLU responsiveness
GLU provides the major excitatory input to striatal neurons (for
review, see Parent and Hazrati, 1995 ), and GLU release appears to be
responsible for the excitations of these cells that occur in response
to somatosensory stimuli and during behavior (Wilson and Kawaguchi,
1996 ; Calabresi et al., 1997 ). Thus, the enhanced striatal GLU release
that occurs as a result of DA receptor blockade may contribute to the
increased neuronal activity after SCH and, to a lesser extent, after
SCH plus ETI, whereas the decreased neuronal activity after ETI may
reflect diminished GLU input. Possible changes in GLU release, however,
cannot explain the dramatic changes in GLU responsiveness found after
our treatments. After SCH, for example, our units became more sensitive
to GLU, as indicated by a decrease in response threshold, an increase
in the absolute magnitude of excitation, and more frequent occurrence
of an apparent depolarization inactivation at high GLU currents. It
appears, therefore, that endogenously released DA provides, via D1
receptors, a tonic inhibitory influence on GLU-induced excitations of
striatal neurons. The enhanced GLU responsiveness after SCH, therefore, may result from removal of this tonic inhibitory action, whereas decreased GLU responsiveness after ETI may reflect the strengthening of
this D1 receptor-mediated action caused by increased striatal DA
release. These two opposing influences appear to be combined after
joint blockade of D1 and D2 receptors. In this case, the GLU-induced
excitations occurred at lower ejection currents, had a higher
magnitude, and were more often inactivated by high GLU currents than
control, but all these changes were less pronounced than with D1
receptor blockade alone. Thus, our data support the idea that
endogenously released DA is involved in modulating the GLU
responsiveness of striatal neurons. These data may explain the enhanced
afferent responsiveness of these cells after D1 and D1 plus D2
blockade. Interestingly, strong increases in the absolute magnitude of
the GLU response were found on accumbal neurons during local DA
depletion (Mulder et al., 1996 ), arguing for local changes in DA input
as a primary cause for changes in neuronal activity.
DA modulation of striatal activity under behavioral conditions
In agreement with early ideas on the functional role of DA
(Siggins, 1977 ; Moore and Bloom, 1978 ; Bloom et al., 1989 ), our results
suggest that tonically released DA provides a continuous restraining
influence on striatal neurons, modulating both their activity and
responsiveness to other inputs, particularly GLU. To the extent that a
brief DA application mimics phasic DA release, our data also support
the idea that phasically released DA shares the same, inhibiting
pattern of action on both basal and GLU-evoked activity. Such
inhibiting effects have been found in most studies using DA
applications both in anesthetized and in vitro preparations (Mercuri et al., 1985 ; Chiodo and Berger, 1986 ; Johnson et al., 1986 ;
Ohno et al., 1987 ; Nicola et al., 1996 ), and these effects were typical
of the majority of striatal units in freely moving rats. DA, however,
has also been shown to enhance GLU-induced excitations (Chiodo and
Berger, 1986 ; Cepeda et al., 1993 ; Levine et al., 1996 ; Hu and White,
1997 ). This enhancing effect was reported to be relatively weak,
occurred only at very low ejection currents (when high-affinity D2
receptors are presumably activated, but low-affinity D1 receptors are
unaffected), and consistently changed into a more profound inhibition
of the GLU response with further increases in current (when D1
receptors are coactivated). Although these latter results are
consistent with the view that DA at different doses activates different
types of DA receptors, recent observations that both D1 and D2 agonists
may weakly potentiate the GLU response (Hu and White, 1997 ) argue
against this view. DA also has been shown to potentiate GLU-induced
excitations in behaving animals (Pierce and Rebec, 1995 ), but in this
case the activating effect of DA appears to involve a D2 mechanism. DA
effects on the GLU response also may depend on the type of GLU receptor
activated (Cepeda et al., 1993 ; Levine et al., 1996 ). Both in striatum
and neocortex, for example, DA enhanced neuronal responses induced by
NMDA receptor agonists, but it attenuated non-NMDA-mediated responses.
The actual effects of DA released under behavioral conditions, however,
may be much more complex than currently believed based on experimental
models. Although we found that continuously applied DA in most cases
decreased the absolute magnitude of GLU-induced excitations, their
relative magnitude (signal-to-noise ratio) could either increase or
decrease depending on the basal rate of neuronal activity, the dose of
applied DA, the initial magnitude of GLU-induced excitation, as well as
on DA-induced changes in discharge rate (Kiyatkin and Rebec, 1996 ).
Thus, it appears that the effect of DA on the neuronal change elicited
by phasic GLU input ultimately depends on how DA influences ongoing
basal activity, which itself depends on tonic GLU input. This effect,
moreover, is modulated concomitantly by other inputs. Such continuous
modulation of afferent effectiveness provides a mechanism by which
fluctuations in DA release can regulate the transmission of
behaviorally relevant information.
Conclusions
Our data support the view of DA as a modulator of striatal
function and suggest that endogenously released DA provides a strong restraining influence on basal activity of striatal neurons and their
responsiveness to phasic changes in GLU input. These data support a key
role of D1 receptors in mediating the effects of DA on striatal
neurons. These same receptors are critical for learning, memory, and
regulating various forms of adaptive behavior (Miller et al., 1990 ;
Beninger, 1992 ). The role of D2 receptors is more difficult to
characterize in that they are found both presynaptically and
postsynaptically, allowing for modulation of both DA and GLU release as
well as neuronal responses to these inputs. Despite the opposing
effects of D1 and D2 stimulation on striatal activity and GLU
responsiveness, our data support the existence of cooperative
relationships between D1 and D2 receptors, which act jointly in
mediating the cellular effects of DA, regulating DA and GLU release,
and integrating DA with other neurochemical inputs. Finally, our data
indicate that GLU mechanisms are essentially involved in mediating the
effects of DA input on striatal neurons.
 |
FOOTNOTES |
Received Nov. 12, 1998; revised Jan. 29, 1999; accepted Feb. 8, 1999.
This work was supported by the National Institute on Drug Abuse (Grants
DA 02451 and DA 00335). We greatly appreciate Paul Langley for
technical assistance and Faye Caylor for help in preparing this manuscript.
Correspondence should be addressed to Eugene A. Kiyatkin at the above address.
 |
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