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The Journal of Neuroscience, December 15, 1999, 19(24):11027-11039
Modulation of Basolateral Amygdala Neuronal Firing and Afferent
Drive by Dopamine Receptor Activation In Vivo
J. Amiel
Rosenkranz and
Anthony A.
Grace
Departments of Neuroscience and Psychiatry, University of
Pittsburgh, Pittsburgh, Pennsylvania 15260
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ABSTRACT |
The basolateral amygdala (BLA) is implicated in responding to
affective stimuli. Dopamine (DA) is released in the BLA during numerous
conditions; however, the neurophysiological effects of DA in the BLA
have not been examined in depth. In this study, the effects of DA
receptor manipulation on spontaneous and afferent-driven neuronal
firing were examined using in vivo extracellular
single-unit recordings in parallel with systemic and iontophoretic drug
application, and stimulation of the substantia nigra/ventral tegmental
area in the rat. The effects of DA receptor activation in the BLA were found to depend on the characteristics of the BLA neuron examined, causing an increase in the firing rate of putative interneurons and a
decrease in the firing of identified projection neurons. Additionally,
DA receptor activation attenuated short-latency spikes evoked by
electrical stimulation of prefrontal cortical and mediodorsal thalamic
inputs to the BLA while potentiating the responses evoked by electrical
stimulation of sensory association cortex.
DA receptor activation can thus attenuate BLA projection neuron firing
via two mechanisms: (1) by a direct inhibition, and (2) by indirect
actions mediated via activation of BLA interneurons. This is
hypothesized to lead to a global filtration of weaker inputs. Moreover,
DA potentiates sensory inputs and attenuates medial prefrontal
cortex inputs to the BLA. Conditions in which DA is released in
the BLA, such as during the presentation of an affective stimulus, will
lead to a potentiation of the strongest sensory input and a dampening
of cortical inhibition over the BLA, thus augmenting the response to
affective sensory stimuli.
Key words:
dopamine; basolateral amygdala; projection neuron; interneuron; afferent; electrophysiology; iontophoresis; substantia
nigra; ventral tegmental area; modulation
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INTRODUCTION |
The importance of the amygdala in
autonomic, endocrine, and motor responses to affective stimuli and
affective conditioning has long been recognized (for review, see
Aggleton, 1992 ; Rolls, 1992 ; Davis et al., 1994 ). The amygdala may be
divided into several nuclei based on cytoarchitectural, histochemical,
connectional, and functional criteria (for review, see Price et al.,
1987 ; Swanson and Petrovich, 1998 ). Amygdalar areas that are key to
affective conditioning and responding include the basolateral amygdala
(BLA) nuclei (lateral, basolateral, and basomedial nucleus) and the central nuclei (Roozendaal et al., 1991 ; Falls and Davis, 1995 ; Maren
et al., 1996 ; Killcross et al., 1997 ; Sajdyk and Shekhar, 1997 ; Soltis
et al., 1997 ). The BLA receives projections from areas including the
medial prefrontal cortex (mPFC; Otterson, 1989 ; McDonald et al., 1996 ),
sensory association cortex (McDonald and Mascagni, 1996 ; Shi and
Cassell, 1997 ), and thalamus (Van Vulpen and Verwer, 1989 ), whose
integrity are necessary to permit affective conditioning (Gaffan et
al., 1988 , 1993 ; Gaffan and Murray, 1990 ; Campeau and Davis, 1995 ;
Poremba and Gabriel, 1997 ). It is suggested that the primary flow of
information through the amygdala during affective responding involves
sensory input to the BLA, which projects to the central nucleus, and
onto autonomic and neuroendocrine centers (Pitkanen et al., 1997 ) to
produce autonomic and neuroendocrine responses (LeDoux et al., 1988 ;
Hitchcock and Davis, 1991 ; Yeomans and Pollard, 1993 ). Moreover, the
BLA projections to the nucleus accumbens (NAc; McDonald, 1991 ), a limbic region involved in the production of affective motor behavior (Mogenson et al., 1980 ; Le Moal and Simon, 1991 ), may be involved in
the motor response to affective stimuli (Cador et al., 1989 ).
Systemic and direct alterations of dopamine (DA) transmission within
the BLA are known to produce significant effects on affective conditioning and responding (Weldon et al., 1991 ; Hitchcott et al.,
1997 ; Munro and Kokkinidis, 1997 ; Lamont and Kokkinidis, 1998 ; Nader
and LeDoux, 1999 ). Furthermore, DA has been implicated in either the
etiology or treatment of certain symptoms of schizophrenia, depression,
and anxiety (Reynolds, 1983 ; Seeman, 1990 ; Grace, 1991 , 1992 ; Deutch,
1992 ; Pitchot et al., 1992 ; Brown and Gershon, 1993 ; Wingerson et al.,
1996 ). Each of these disorders is associated with symptoms that are
characteristic of amygdala dysfunction, and furthermore, these patients
are reported to exhibit anatomical abnormalities in the amygdala and in
areas synaptically connected with the BLA (Berman et al., 1986 ; Arnold
et al., 1991 ; Drevets et al., 1992 , 1997 ; Pakkenberg, 1992 ; Raine et
al., 1992 ; Bogerts et al., 1993 ).
There is converging evidence that DA plays a significant role in
amygdala function. Thus, the elements necessary for functional DA
transmission have been shown to be present in the BLA (Swanson, 1982 ;
Loughlin and Fallon, 1983 ; Scibilia et al., 1992 ; Revay et al., 1996 ;
Asan, 1997 ). Furthermore, studies have shown that DA levels are
increased in the BLA during learning (Hori et al., 1993 ) and in
response to stressful or predictive stimuli (Herman et al., 1982 ; Coco
et al., 1992 ; Harmer and Phillips, 1999 ; Inglis and Moghaddam, 1999 ).
Nonetheless, the neurophysiology of DA in the BLA has not been examined
in detail. Previous studies examining this aspect of DA action (Wepsic
and Austin, 1971 ; Ben-Ari and Kelly, 1976 ; Bashore et al., 1978 ;
Spehlmann and Norcross, 1984 ; Wang and Rebec, 1996 ) have reported
heterogenous results. Moreover, even though the BLA consists of two
basic neuronal subtypes [i.e., the pyramidal-like projection neuron
and the inhibitory interneuron (McDonald, 1985 , 1992 )], previous
studies have not segregated the effects of DA based on the neuron
subtype examined. Additionally, there has been virtually no examination
of the effects of DA on the neurophysiology of afferent inputs to this region.
In this study, we examine the electrophysiological effects of DA
receptor activation on afferents to the BLA, such as mediodorsal thalamus (MD), mPFC, and sensory association cortex (Te3).
Additionally, the effects of DA receptor activation on the two basic
neuronal subtypes of the BLA are examined.
Parts of this paper have been presented in abstract form (Rosenkranz
and Grace, 1998 ).
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MATERIALS AND METHODS |
Materials
DA, the nonselective DA agonist apomorphine, the DA
D1 agonist SKF-38393, the
D1 antagonist SCH-23390, the
D2 agonist quinpirole, and the
D2 antagonist raclopride, were purchased from
Research Biochemicals (Natick, MA). The nonselective DA antagonist
haloperidol was a generous gift from McNeil Laboratories.
L-glutamic acid (glutamate) was purchased from Sigma (St.
Louis, MO).
Electrophysiological recordings
In vivo extracellular single-unit or population field
potential electrophysiological recordings were performed in
anesthetized male Sprague Dawley rats (250-400 gm). All procedures
followed the National Institutes of Health Guide for the Care and Use
of Laboratory Animals, and were approved by the Institutional Animal Care and Use Committee at the University of Pittsburgh. Animals were
housed in pairs, supplied with food and water ad libitum, and maintained on a 12 hr light/dark cycle. Rats were anesthetized with
8% chloral hydrate (400 mg/kg, i.p). Additional supplemental doses of
chloral hydrate were administered intraperitoneally when necessary.
Temperature was monitored with a rectal temperature probe (model 4600;
Precision Thermometer, Yellow Springs, OH), and maintained at
37-38°C using a heat control unit and heating pad (Fintronics,
Orange, CT). The rat was mounted in a stereotaxic device (Narishige,
Tokyo, Japan), incisions were made in the scalp to expose the skull,
burr holes were drilled into the skull, and the dura was removed in an
area overlying the BLA [ 5.3 lateral (L), 3.3 caudal (C) from
bregma]. Depending on the experiment, an additional hole for
the stimulating electrode was drilled in the skull overlying one of the
following: the mPFC [infralimbic/prelimbic cortex, +2.7 rostral (R),
0.7 L, 4.3 ventral (V)], mediodorsal thalamus [MD; 2.1
C, 0.5 L, 5.3 V), secondary sensory cortex (Te3; 6.5 L, 5.0 C,
5.2 V), substantia nigra/ventral tegmental area (SN/VTA; 5.6 C,
0.8 L, 8.0 V) or NAc (+2.2 R, 1.4 L, 7.2 V). Structures were
localized using a stereotaxic atlas (Paxinos and Watson, 1997 ).
Single-barrel electrodes were constructed using a vertical
microelectrode puller (PE-2; Narishige), and the recording barrel
filled with 2% Pontamine sky blue in 2 M NaCl
(impedance measured in vivo ranged between 10 and 20 M
for single-unit recording and 4-8 M for population field potential
recordings, both measured at 1 kHz). Recording electrodes were slowly
lowered into the amygdala via a micromanipulator (MO-8; Narishige).
Bipolar concentric stimulating electrodes were lowered into one of the
other remaining structures, and stimulation was delivered using a Grass
S88 stimulator (Quincy, MA), with the intensity ranging between 75 and
900 µA with a duration of 0.2-0.3 msec. Stimulation pulses were
photoelectrically isolated (PSIU6G; Grass). At the completion of each
experiment, recording sites were marked by ejection of Pontamine sky
blue to mark the recording site.
Data collection
Signals from the recording electrode were amplified by a
headstage connected to the preamplifier before being fed into a window discriminator (Fintronics discriminator/amplifier) and displayed on an
oscilloscope (V-134; Hitachi, Tokyo, Japan) and an audio monitor (AM5;
Grass). The data were also stored on video tapes after being digitized
(DR-390, Neurocorder; NeuroData, New York, NY). Data were
simultaneously collected using a Microstar board for data acquisition
and online data monitoring using software developed in this laboratory
(Neuroscope), and stored on a personal computer (Gateway 2000, model
P5-100XL) for subsequent off-line analysis.
Iontophoretic application of drug
Multibarrel microelectrodes (five barrels; Activational Systems,
Warren, MI) were constructed using a vertical microelectrode puller
(PE-2; Narishige), and the tip was broken back under microscopic control. The central barrel of the microelectrode was filled with 2%
Pontamine sky blue in 2 M NaCl for electrophysiological
recordings. One of the outer barrels was filled with 4 M
NaCl for automatic current balancing, and various drug solutions were
used in the remaining barrels. Drug barrels of the multibarrel pipette
were filled with 50 or 100 mM DA, pH 4.5, 20-100
mM glutamate, pH 8.0, 20-40 mM NMDA, pH 8.0, 10-30 mM SKF 38393, pH 4.5, 10 mM quinpirole, pH 4.5, or 100-200 mM GABA, pH 4.0. All drugs were
dissolved in 10 mM NaCl. Drugs dissolved in solutions of
acidic pH were ejected with (+) iontophoretic current, and drugs
dissolved in solutions of basic pH were ejected with ( ) iontophoretic
current (E104B; Fintronics). Retaining currents of the opposite
polarity ranged between 8 and 10 nA. Iontophoretic drug currents ranged
between 2 and 32 nA, although currents of up to 110 nA were tested in a
few cases to ensure consistency of effects at high ejection currents.
The ejection of glutamate or NMDA was often done using timed,
repetitive pulses with a duration of 15 or 30 sec, with a 30 or 45 sec
delay between pulses.
Systemic drug administration
Drugs were dissolved in distilled water, or in the case of
haloperidol, dilute lactic acid, to a final concentration of 0.5 mg/ml.
Drugs were administered via a lateral tail vein (or in a few cases
intraperitoneally) in volumes of 0.05-0.4 ml in ascending doses
in a dose-response fashion. Saline was administered as a control.
Data analysis
The particulars of the data analysis depended on the type of
neuronal activity monitored:
Spontaneous spike discharge. Single units were
isolated (with a signal-to-noise ratio of 3:1, and a minimal duration
of 1.0 msec was set to exclude spikes that were not of somatodendritic origin; Humphrey, 1979 ), and stable baseline firing rates were obtained
for a minimum of 1 min (typically 5 min) before drug administration.
After stable baseline data were collected, systemic or iontophoretic
drug administration was performed. After each dose of systemically
administered drug, neuronal activity was recorded for a minimum of 4 min before a subsequent administration occurred. These predrug and
postdrug administration epochs were compared using paired t
tests ( = 0.05 for significance). If a DA agonist was
administered first, antagonists were administered 10-30 min after the
final agonist administration, while continuously recording neuronal activity.
Additionally, the duration of the action potentials recorded from BLA
units was quantified as the time from the initial change from baseline
to the return to baseline. The distribution of firing rates was also
examined and fit to population curves (Jandel Table Curve).
Furthermore, the distribution of firing rates was examined as a
function of action potential duration. Using firing rate population
distributions and firing rate distributions as a function of action
potential duration, a cutoff of 0.5 Hz was used to segregate fast- and
slow-firing neurons.
Electrically evoked responses. Electrical stimulus pulses
were often delivered during electrode penetration to search for units
that exhibited evoked responses (0.6 Hz, 0.2-0.7 mA, 0.2 msec
duration). Evoked responses consisted of single-unit responses or
evoked field potentials. Single units were operationally defined as
monosynaptic if their latency was <25 msec; they showed very little
shift in latency when increasing the stimulus intensity, yet they
showed some range (1-2 msec) in latency distribution ("jitter"),
ruling out antidromic activation. Stimulus intensities were varied to
determine an evoked spike response probability of ~50% in the case
of single units, or half-maximal amplitude in the case of evoked field
potentials. The magnitude of the evoked field potential was quantified
as the absolute voltage change from baseline to the peak of the
positive deflections, or the trough of the negative deflections. After
stable baselines were recorded, drugs were administered systemically as
above, and drug-induced changes in the evoked spike probability and
field potential amplitude were measured. A minimum of 150 sweeps was
obtained before and after drug administration at various time points.
If the neuron was spontaneously spiking, a minimum of 1-2 min was
given after electrical stimulation before basal firing rate was recorded.
Substantia nigra/VTA stimulation. After stable baselines
were obtained from spontaneously spiking neurons or neurons activated by iontophoretic application of glutamate, the substantia nigra/ventral tegmental area was electrically stimulated to induce dopamine release
in the amygdala. The stimulus parameters used consisted of pulse trains
of 10-20 Hz, 0.2 msec duration, 0.5-0.6 mA, for a period of 1-2 sec.
Prestimulus firing rate values were compared to firing rate values of a
15 sec epoch that immediately followed the SN/VTA stimulation. In many
cases, this process was repeated for the same neuron after several
minutes had elapsed, and firing had returned to baseline levels. In
some of these repeated stimulation trials, haloperidol was administered
systemically in an attempt to block the effects of later SN/VTA
stimulation trains as a way of confirming dopaminergic mediation of the response.
Antidromically evoked activity. Electrical stimulations were
performed as above. An antidromic response was defined as the ability
of evoked spikes to follow stimulation frequencies of > 250 Hz,
displayed constant response latency, display collision with
spontaneously occurring spikes when possible, and be evoked from an
area receiving BLA projections. In the majority of cases, a test for
collision of evoked and spontaneous spikes was not feasible because of
the lack of spontaneous spiking in many antidromically activated units.
Glutamate-evoked activity. Responses to glutamate were
tested in one of two ways: (1) constant glutamate ejection (+10 to +40
nA) was used to maintain a stable baseline of neuronal activity, or (2)
glutamate was ejected in pulses, as described above. After obtaining a
stable firing rate, or a stable response to pulsed glutamate, DA or DA
agonists were co-iontophoresed (as described above), and changes in
firing rate that were induced by the iontophoretic application
of DA or DA agonists was examined. During constant glutamate
iontophoresis, the glutamate-induced spike discharge (minimum 60 sec)
was compared to the firing rate during DA co-iontophoresis. Alternatively, when glutamate was applied using 15 or 30 sec duration pulses, several consecutive pulses were averaged, and the responses compared to the effects obtained to pulsed glutamate recorded during DA
co-iontophoresis.
To examine the statistical significance of the drug effects, Student's
t tests were used. A group t test was applied,
and if the results were not statistically significant, individual t tests were used on the results from single neurons to
determine how many neurons of the particular treatment group displayed
a significant change concomitant with the treatment. Post
hoc layered Bonferroni was used to maintain multiple comparisons
at = 0.05. Where violations of assumptions of normality and
homogeneity of variance were present, appropriate nonparametric tests
were used.
Histology
Verification of recording and stimulating electrode sites was
obtained histologically. Rats were killed by overdose with anesthetic, decapitated, and the brains were removed and fixed in 10% formalin for
a minimum of 24 hr. Brains were cryoprotected with 30% sucrose in 0.1 M phosphate buffer and were then frozen and sliced with a
cryostat or with a sliding microtome into 40 µm coronal sections. Mounted sections were then stained with cresyl violet. Recording sites
were identified by the blue spot caused by ejection of Pontamine sky
blue (see Electrophysiological recordings). Stimulating sites were
identified as the end of the stimulating electrode track.
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RESULTS |
Evidence for two subtypes of BLA neurons
As seen in previous reports, the basal firing rate of most
spontaneously spiking neurons in the amygdala was very low (mean ± SEM, 0.91 ± 2.47 Hz; n = 179; range, 0-22.3 Hz),
with evidence of a large population of neurons that did not fire
spontaneously during the recording period. After closer examination,
neurons could be placed into one of two normal distributions
(r2 > 0.98) with significantly
different mean firing rates (p < 0.05; group
t test; Fig. 1): fast-firing
(mean, 2.81 ± 0.52 Hz; n = 55; range, 0.51-22.3
Hz) and slow-firing (mean, 0.071 ± 0.013 Hz; n = 124; range, 0-0.50 Hz) neurons. Based on the distribution of neuronal
firing rates, a cutoff of 0.5 Hz was used to segregate the two
populations. Hence "slow-firing" will be used to indicate neurons
that fire at <0.5 Hz, whereas "fast-firing" will be used to denote
neurons that fire at >0.5 Hz. This segregation of neuronal types also
corresponded to differences in action potential waveform (Fig.
2). The spike durations of a 90 neuron
sample were examined (34 fast-spiking neurons, mean, 2.56 ± 0.380 Hz; 56 slow-spiking neurons, mean, 0.18 ± 0.02 Hz; Fig. 2).
Slowly firing neurons displayed longer duration action potential
waveforms (mean, 2.71 ± 0.10 msec) than fast-firing neurons
(mean, 1.64 ± 0.095 msec; p < 0.001;
group t test).

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Figure 1.
Neuronal firing rate distribution supports the
presence of two populations of BLA neurons. A, Firing
rate distribution of neurons recorded in the BLA. There is a bimodal
distribution that may be separated into two normal populations
(p < 0.05; n = 179 neurons) with 0.5 Hz as a cutoff. Representative firing rate histograms
of two spontaneously firing neurons, a fast-firing
(B) and a slow-firing (C)
neuron.
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Figure 2.
Parcellation of fast- and slow-firing neurons of
the BLA by spike duration. A, Example trace of a
fast-spiking neuron that displays a short spike duration (1.2 msec).
B, Example trace of a slow-firing neuron that displays a
long spike duration (4.0 msec). C, A plot of spike
duration by firing rate for a sample of 90 BLA neurons demonstrates
that fast-firing neurons (>0.5 Hz) tend to display short spike
durations, whereas slow-firing neurons (<0.5 Hz) tend to display
longer duration spikes (p < 0.01).
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To further validate the parcellation of neuronal subtypes, projection
neurons were identified by antidromic activation from either the mPFC
or NAc (Fig. 3). Antidromically activated
BLA neurons, as defined by a fixed response latency, collision with spontaneously occurring spikes when possible, and the ability to follow
high-frequency stimulation, fired spontaneously at slow firing rates
(n = 5; mean, 0.263 ± 0.128 Hz) or not at all
(n = 16). A sample of antidromically activated neurons
also displayed significantly longer spike durations than fast-firing
neurons [n = 12; mean, 2.49 ± 0.47 msec;
p < 0.001; group t test; there were no
differences noted between the spike duration, response latency (mean
latency, 12.1 msec; range, 7-20 msec), or projection target of
slow-firing and nonspontaneously firing neurons antidromically driven
from the mPFC or NAc]. By contrast, none of the fast-firing neurons
could be activated antidromically.

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Figure 3.
Antidromically activated, slow-firing BLA neurons
display an increase in firing rate after DA receptor blockade.
A, An example trace of a BLA neuron that follows
high-frequency (300 Hz) electrical stimulation of the NAc.
Arrows pointing up indicate stimulation,
and arrows pointing down indicate spikes,
respectively. B, Traces of antidromically evoked spikes
in a slow-firing neuron in response to single NAc stimulation. The
spikes display constant response latency (1) and collision (2) with a
spontaneously occurring spike (3). Arrow indicates
stimulus artifact. C, BLA neurons that could be
antidromically activated from NAc stimulation display an increase in
firing rate after systemic administration of the DA antagonist
haloperidol (n = 7; *p < 0.05;
Wilcoxon; circles represent neuronal firing rates
prehaloperidol and posthaloperidol administration).
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DAergic effects on spontaneous or microiontophoretic
glutamate-evoked firing
Systemic administration of saline had no substantial effect on
neuronal firing rate (two of two neurons). After intravenous drug
administration, when significant effects occurred, changes of firing
rate could be observed within 2 min. Systemic administration of the
dopaminergic agonists apomorphine (n = 10), SKF-38393
(n = 6), or quinpirole (n = 4) had
variable effects on the firing rate of spontaneously spiking neurons
(10 of 20 neurons increased firing rate, 7 of 20 neurons decreased
firing rate). However, the response observed could be differentiated
based on the neuronal firing rate. Because of the similarity in
responses, all DA agonists were grouped together. Fast-firing (>0.5
Hz) neurons displayed an increase in firing rate after systemic DA
agonist administration (Fig. 4; 10 of 11 neurons; 10 rats; p = 0.016; Wilcoxon; mean firing
rate ± SEM; pre-DA agonist, 2.57 ± 0.749 Hz; post-DA
agonist, 5.44 ± 1.898 Hz; maximum change, >3000% of baseline;
mean change, 256% of baseline), whereas the firing rate of slowly
firing neurons was attenuated (Fig. 4; seven of nine neurons; eight
rats; p = 0.0156; Wilcoxon; pre-DA agonist, 0.371 ± 0.199 Hz; post-DA agonist, 0.191 ± 0.092 Hz; maximum change,
0% of baseline; mean change, 33% of baseline) by similar doses of the
same drugs [doses as follows: (1) DA agonists (initial doses of
0.05-0.15 mg): apomorphine, mean initial dose, 0.14 ± 0.016 mg/kg, ranging from 0.09 to 0.31 mg/kg, and a final dose as high as
0.61 mg/kg; SKF-38393, initial dose, 0.05-0.15 mg, corresponding to a
mean initial dose 0.12 ± 0.002 mg/kg, ranging from 0.11 to 0.13 mg/kg and a final dose as high as 0.50 mg/kg; quinpirole, initial dose,
0.16 ± 0.03 mg/kg, ranging from 0.13 to 0.290 mg/kg, and a final
dose as high as 0.58 mg/kg; (2) DA antagonists (initial doses of
0.1-0.25 mg): haloperidol, initial dose, 0.30 ± 0.050 mg/kg,
ranging from 0.13 to 0.65 mg/kg, and a final dose as high as 0.65 mg/kg; raclopride, initial dose, 0.26 ± 0.086 mg/kg, ranging from
0.13 to 0.49 mg/kg, with a final dose as high as 0.58 mg/kg; SCH 23390, initial dose, 0.21 ± 0.017 mg/kg, ranging from 0.13-0.23 mg/kg,
with a final dose as high as 0.75 mg/kg]. In several cases, the
initial dose was repeated with subsequent injections given at double
the previous dose, in a dose-response manner. In the instances in
which more than one dose of DA agonist was administered, supplementary
doses potentiated the effects of the initial dose or produced an effect when the initial dose was subthreshold for producing a result. In most
cases, the effects were reversible after systemic administration of DA
receptor antagonists (raclopride, three of four neurons; haloperidol,
five of seven neurons; and SCH-23390, three of three neurons). It was
also observed in 4 of 11 cases that administration of a DA antagonist
after the DA agonist not only reversed the effects of the agonist, but
further altered the firing rate beyond baseline levels. This may be
attributable to a combination of two factors: (1) removal of DA
agonist-induced actions and (2) attenuation of baseline DAergic tone on
the neuron. Furthermore, systemic administration of dopamine
antagonists alone decreased the firing rate of fast firing neurons
(Fig. 5; five of six neurons; six rats;
pre-DA antagonist, 2.83 ± 0.92 Hz, post-DA antagonist, 0.93 ± 0.46 Hz; p = 0.040; group t test; maximum
change, 2% of baseline; mean change, 18% of baseline) and increased
the firing rate of slowly firing neurons (Fig. 4; eight of nine
neurons; eight rats; pre-DA antagonist, 0.110 ± 0.077 Hz; post-DA
antagonist, 1.21 ± 0.965 Hz; p = 0.0195;
Wilcoxon; maximum change, >1000% of baseline; mean change, >1000%
of baseline; haloperidol, mean initial dose, 0.10 ± 0.025 mg/kg,
ranging from 0.03 to 0.16 mg/kg, with a final dose as high as 0.32 mg/kg).

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Figure 4.
Opposite effects of DA receptor activation on
fast-firing and slow-firing BLA neurons. A, Firing rate
histogram of a fast-firing neuron that displays an increase in firing
rate after systemic administration of the DA agonist apomorphine (0.09 mg/kg, i.v.) that is reversed after systemic administration of the DA
antagonist haloperidol (0.30 mg/kg, i.v.). B, Firing
rate histogram of a slow-firing neuron that displays a decrease in
firing rate after systemic administration of apomorphine (0.12 mg/kg,
i.v.) that is reversed after systemic administration of the DA
antagonist raclopride (0.25 mg/kg, i.v.). Arrows
indicate the time of drug administration. C, DA agonist
administration has opposite effects on fast-firing
(n = 10 of 11 neurons) and slow-firing
(n = 7 of 9 neurons) neurons of the BLA
(*p < 0.05; error bars indicate mean ± SEM;
see Results for dose ranges).
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Figure 5.
Opposite effects of DA receptor blockade on
fast-firing and slow-firing BLA neurons. A, Firing rate
histogram of a fast-firing neuron that displays a decrease in firing
rate after systemic administration of the DA antagonist haloperidol
(0.32 mg/kg, i.v.). B, Firing rate histogram of a
slow-firing neuron that displays an increase in firing rate after
systemic administration of haloperidol (0.31 mg/kg, i.v.).
Arrows indicate time of drug administration.
C, Opposite effects of systemic administration of DA
antagonists on fast-firing (5 of 6 neurons) and slow-firing (8 of 9 neurons) neurons of the BLA (*p < 0.05; error bars
indicate mean ± SEM; see Results for dose ranges).
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Consistent with this, the response of neurons that exhibited antidromic
activation from electrical stimulation of the NAc was also
qualitatively different from that of the fast-firing neurons. Thus, the
firing rates of these neurons increased after systemic administration
of haloperidol alone (Fig. 3; seven of seven neurons; six rats;
prehaloperidol, 0.27 ± 0.18 Hz; posthaloperidol, 0.52 ± 0.32 Hz; p = 0.016;Wilcoxon; each neuron displayed an
increase in firing rate p < 0.05, individual
t tests with Bonferroni corrections; haloperidol, mean
initial dose, 0.61 ± 0.057 mg/kg, ranging from 0.40-0.85 mg/kg,
with a maximal dose of 0.85 mg/kg).
To further demonstrate that the response was dopamine-mediated in the
BLA, two strategies were taken: microiontophoresis of DA in the BLA and
electrical stimulation of the SN/VTA, which is the locus of the DA cell
afferents to the BLA. Electrical stimulation of SN/VTA in three rats
yielded results similar to the effects observed with systemic
administration of DA agonists. Thus, fast-firing neurons showed an
increase in firing after SN/VTA stimulation (Fig.
6; 9 of 10 neurons; pre-SN stimulation,
2.87 ± 0.828 Hz; post-SN stimulation, 4.51 ± 1.242 Hz;
p = 0.0091; group t test), whereas
slow-firing neurons showed a decrease in firing rate [Fig. 6; four of
four neurons; pre-SN stimulation, 0.34 ± 0.097 Hz; post-SN
stimulation, 0.11 ± 0.046 Hz; p = 0.066; group
t test; however, each individual neuron showed a significant
change in firing rate; p < 0.05; individual
t tests (with Bonferroni correction)]. The effects of
SN/VTA stimulation were attenuated by systemic haloperidol
administration (Fig. 6; 0.55-0.68 mg/kg), independent of the effects
of haloperidol on basal firing rate. The effects began within seconds
of, or during, SN/VTA stimulation and exhibited durations of up to 1 min. Additionally, iontophoretic glutamate-evoked excitation of
nonspontaneously spiking neurons was depressed by SN stimulation [Fig.
6; four of four neurons; pre-SN stimulation, 16.1 ± 8.9 Hz;
post-SN stimulation, 8.1 ± 4.2 Hz; mean change, 53.6 ± 3.8% of baseline; p > 0.05; group t test;
however, each individual neuron displayed a significant
(p < 0.05, individual t tests with
Bonferroni correction) decrease in firing rate after SN/VTA
stimulation].

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Figure 6.
Electrical stimulation of the SN/VTA exerts
opposite effects on fast-firing and slow-firing neurons.
A1, Averaged composites of neuronal responses to SN/VTA
stimulations (stimulus time histograms for several neurons were added
together and divided by the number of stimulus presentations). SN/VTA stimulation increases the
firing rate of fast-firing neurons of the BLA (n = 5; p < 0.05), decreases the firing rate of
slow-firing neurons (n = 4; p < 0.05) (2), and attenuates the glutamate-evoked
excitation of neurons that did not display spontaneous spike discharge
(n = 4; p < 0.05)
(3). Arrows indicate onset of
electrical stimulation (1-2 sec; 10-20 Hz; 0.5-0.6 mA).
B, Example firing rate histogram of the response of a
fast-firing neuron to SN/VTA stimulation before
(1) and after (2) systemic
administration of the DA antagonist haloperidol (0.67 mg/kg, i.v.).
Vertical line indicates beginning of 1 sec SN/VTA
stimulation at 10 Hz, 0.2 msec durations, 0.6 mA.
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Co-microiontophoresis of DA and glutamate produced consistent results.
In our iontophoresis recordings, most of the neurons exhibited
spontaneous spike discharge only during iontophoresis of glutamate. All
but one of the neurons excited by iontophoretic glutamate displayed an
attenuation in firing rates during co-iontophoresis of DA (Fig.
7; 20 of 21 neurons; seven rats;
p < 0.01; group t test). In the neurons
tested with variable iontophoretic currents of DA, the firing rate of
the neurons was attenuated in a current-dependent manner (Fig. 7). The
effects of iontophoretic DA were attenuated by systemic administration
of haloperidol (n = 2 of 2). Iontophoresis of the
specific DA agonists SKF-38393 (n = 4 of 5;
p = 0.013; group t test) and quinpirole
[n = 3 of 4; p = 0.11; group
t test; however, three of four neurons displayed significant
changes with individual t tests; p < 0.05 (with Bonferroni correction)] also attenuated the firing of BLA
neurons induced by glutamate iontophoresis. In no case in which DA or
DA agonist was administered alone did a nonfiring neuron begin firing
spontaneously. Additionally, a set of neurons antidromically activated
from NAc stimulation were induced to fire with iontophoretic glutamate
application, and the firing was attenuated by co-iontophoresis of DA
(Fig. 7B; n = 3; the firing rate of each
neuron was significantly attenuated, p < 0.05;
individual t tests with Bonferroni correction).

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Figure 7.
Microiontophoretic application of DA attenuates
BLA neuronal firing induced by co-microiontophoresis of glutamate.
A, Firing rate histogram showing that DA attenuates the
neuronal firing induced by iontophoretically applied pulses of
glutamate ( 20 nA) in a current-dependent manner. B,
Firing rate histogram showing that DA attenuates the neuronal firing
induced by continuous iontophoretic application of glutamate ( 20 nA)
in an antidromically activated neuron. C, Plot of the
current dependency of the attenuation of neuronal firing by
iontophoretic application of DA (n = 20 neurons).
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DAergic effects on afferent-evoked responses
The BLA receives afferent input from a number of cortical
structures, most of which are known to use glutamate as a
neurotransmitter (for review, see Somogyi et al., 1998 ). Several of
these cortical areas are believed to have a potent effect on BLA
activity (Pare and Gaudreau, 1996 ) via glutamatergic projections. To
examine the effects of DA on afferent-driven activity, responses evoked by electrical stimulation of several regions that send projections to
the BLA were examined. In all cases, only the short-latency responses
were analyzed. After stimulation of the MD, short-latency, putative
monosynaptic (Fig. 8; n = 15; mean latency, 16.9 msec; range, 5-26 msec), and occasionally
multisynaptic responses were evoked. Very few neurons that displayed
both antidromic and orthodromic responses were encountered, and these
were not included in this study. Except where noted, the responses
evoked from electrical stimulation of MD, mPFC, and Te3 were recorded
from neurons that were not spontaneously spiking or spiked
spontaneously at such low firing rates that quantification of
spontaneous firing rates was not appropriate. The action potential
duration of a sample of units that displayed spikes evoked from MD,
mPFC, and Te3 stimulation was 2.8 ± 0.10 msec; n = 15. Given the low spontaneous firing rates and the long-duration
action potentials, the majority of the evoked responses were probably
recorded from projection neurons. The probability of an evoked response
after MD stimulation was significantly attenuated by systemic
administration of apomorphine (Fig. 8; six of seven neurons; seven
rats; preapomorphine response probability, 0.49 ± 0.04;
postapomorphine response probability, 0.26 ± 0.10;
p < 0.05; group t test, 51 ± 16% of
baseline; apomorphine mean initial dose, 0.11 ± 0.010 mg/kg,
ranging from 0.08 to 0.16 mg/kg, and subsequent injections repeated or
doubled the dose, until, maximally, a dose of 0.60 mg/kg was achieved).
This attenuation was typically observed within 3 min of drug
administration and was reversed after administration of a DA antagonist
(raclopride, n = 2 of 2 neurons; mean initial dose,
0.22 ± 0.085 mg/kg, ranging from 0.13 to 0.30 mg/kg, with a
maximal dose of 0.30 mg/kg, or haloperidol, n = 4 of 5 neurons; mean dose, 0.27 ± 0.054 mg/kg, ranging from 0.17 to 0.35 mg/kg, with a maximal dose of 0.67 mg/kg). These, and effects of DA
agonists observed on other afferents, were dose-dependent in the ranges
tested, such that lower doses produced little or no effects, and higher
doses produced subsequently greater effects on the same neuron or when
compared to another neuronal response to an afferent input.
Furthermore, extended periods of stimulation alone had no effect on the
evoked-response probability. In two cases, a short-latency MD-evoked
response was observed in spontaneously spiking neurons (Fig.
9). Systemic administration of
apomorphine attenuated the short-latency MD input, but at the same time
moderately increased the spontaneous firing rate of these neurons (Fig.
9).

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Figure 8.
DA receptor activation attenuates mPFC- and
MD-evoked short-latency responses in BLA neurons. A, An
example trace of an MD-evoked short-latency response in a BLA neuron
that did not fire spontaneously. Arrow indicates
electrical stimulation artifact. B, Repre- sentative PSTHs of the attenuation of MD-evoked responses
in a nonspontaneously firing BLA neuron by systemic administration of
apomorphine (0.10 mg/kg) and its reversal by systemic administration of
haloperidol (0.30 mg/kg). C, MD-evoked short-latency
responses are attenuated after systemic administration of DA agonists
(6 of 7 neurons; *p < 0.05; error bars indicate
mean ± SEM). D, mPFC-evoked short-latency
responses are attenuated after systemic administration of DA agonists
(5 of 5 neurons; *p < 0.05; error bars indicate
mean ± SEM, see Results for dose ranges).
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Figure 9.
DA agonist administration has opposite effects on
MD-evoked and spontaneous firing recorded from the same neuron.
A, PSTH indicating the presence of a short-latency
evoked response (arrow) in a spontaneously firing neuron
(top). The short-latency evoked response is attenuated,
yet the spontaneous firing rate (arrowheads, the
prestimulus firing rate) is increased (p < 0.05; bottom) after systemic administration of the DA
agonist apomorphine (0.10 mg/kg). B, Graphic
representation of the opposite changes in firing rate and MD-evoked
short-latency responses recorded in the same neuron displayed in
A. Additionally, systemic administration of haloperidol
(0.65 mg/kg) reversed the effects of apomorphine and caused a further
suppression of neuronal firing rates and potentiation of evoked spike
probability to levels that surpassed predrug baseline.
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If the activity of these neurons is in fact driven by glutamatergic
inputs, one interpretation of these results is a differential modulation of glutamatergic inputs by DA and specifically implies the
potentiation of another glutamatergic input, leading to an increased
basal firing rate. In light of this, two other inputs were examined;
the input from mPFC (infralimbic and prelimbic) and the input from
sensory association cortex (Te3). Both send substantial projections to
the lateral nucleus of the BLA and represent two classes of inputs to
the amygdala: sensory and limbic. Short-latency, presumed monosynaptic
evoked responses from mPFC stimulation (mean latency, 17 msec; range,
15-20 msec) were attenuated after systemic apomorphine administration
(Fig. 9; 5 of 5 neurons; five rats; pre-DA agonist response
probability, 0.52 ± 0.06; post-DA agonist response probability,
0.20 ± 0.10; p = 0.012; group t test;
35 ± 13% of baseline; apomorphine mean initial dose, 0.46 ± 0.052 mg/kg, ranging from 0.19 to 0.61 mg/kg, with a maximal dose of
0.78 mg/kg). By contrast, short-latency evoked responses from Te3 (Fig.
10; mean latency, 11.5 msec; range,
7-13 msec) were potentiated after systemic apomorphine (9 of 10 neurons; nine rats; pre-DA agonist response probability, 0.51 ± 0.07; post-DA agonist response probability, 0.79 ± 0.09;
p = 0.001; group t test, 162 ± 12.7%
of baseline; apomorphine mean initial dose, 0.28 ± 0.057 mg/kg,
ranging from 0.13 to 0.37, with a maximal dose of 0.74 mg/kg). These
distinct effects on mPFC and Te3 inputs to the BLA were induced by
similar doses of drug and were reversed after systemic administration
of haloperidol (mPFC, n = 3 of 4; mean initial dose,
0.55 ± 0.02 mg/kg, ranging from 0.39 to 0.61 mg/kg; Te3,
n = 2 of 3; mean initial dose, 0.53 ± 0.035 mg/kg, ranging from 0.49 to 0.60 mg/kg).

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Figure 10.
DA receptor activation potentiates Te3-evoked
short-latency responses in BLA neurons. A,
Representative PSTHs from a nonspontaneously firing BLA neuron that
displays potentiation of the Te3-evoked short-latency response after
systemic administration of apomorphine (0.37 mg/kg). This effect is
reversed after systemic administration of haloperidol (0.49 mg/kg).
B, Systemic administration of apomorphine potentiates
Te3-evoked short-latency responses in BLA neurons (9 of 10 neurons;
*p < 0.05; t test; error bars
indicate mean ± SEM; see Results for dose ranges).
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Similarly, MD- and mPFC-evoked field potentials (n = 3 of 4, each) were attenuated after systemic DA agonist administration (Fig. 11; MD: apomorphine mean dose,
0.73 ± 0.150 mg/kg; range, 0.58-0.88 mg/kg; mPFC: apomorphine
mean dose, 0.72 ± 0.094 mg/kg; range, 0.51-1.0 mg/kg). The field
potentials evoked by either MD or mPFC stimulation could be divided
into four primary components; two positive and two negative components,
labeled P1, P2, N1, and N2, respectively (Fig. 11). The amplitude of
MD- and mPFC-evoked responses was dependent on the stimulus intensity.
The average ratio of preapomorphine and postapomorphine administration
for mPFC-evoked field potentials was: P1, 0.65 ± 0.14, p < 0.05 group t test; P2, 0.62 ± 0.14, p < 0.05 group t test; N1, 0.66 ± 0.20, p > 0.05 group t test; and N2,
0.536 ± 0.18, p < 0.05 group t test.
The average ratios of preapomorphine and postapomorphine administration
for MD-evoked field potentials were: P1, 0.88 ± 0.12; P2,
0.73 ± 0.15; N1, 0.86 ± 0.21; and N2, 1.04 ± 0.41 (none were significant with group t test, presumably because
of the large variance; however, in three of four cases, the MD-evoked field potential displayed a prominent attenuation after apomorphine administration).

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Figure 11.
DA receptor activation attenuates MD- and
mPFC-evoked population field potentials recorded in the BLA. Traces of
mPFC-evoked (A) and MD-evoked population field
potentials before (black) and after
(gray) systemic administration of apomorphine
(mPFC, 0.88 mg/kg; MD, 0.58 mg/kg). Each trace represents 30 averaged
recorded field potentials. Arrow (Stim)
marks stimulus artifact.
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DISCUSSION |
This study examined the effects of DA receptor activation on
spontaneous activity and afferent drive of BLA neurons. The results indicate that DA receptor activation decreases the spontaneous firing
rate of slowly firing neurons but increases the firing rate of
fast-firing BLA neurons. Moreover, the effects of DA receptor activation on afferent drive depended on the afferent examined.
BLA neuron subtypes
BLA neurons were parcellated into two types based on their action
potential duration, antidromic activation, and their firing rates, with
neurons firing at <0.5 Hz comprising one population, and neurons
firing at >0.5 Hz belonging to a separate population. This division is
consistent with evidence presented here and in other studies showing
distinct physiological properties of identified BLA neuronal subtypes
(Washburn and Moises, 1992 ; Rainnie et al., 1993 ; Sugita et al., 1993 )
and indicates that slow-firing BLA neurons with long-duration spikes
are typically projection neurons, whereas the fast-firing, short-spike
duration neurons are almost exclusively inhibitory interneurons (Pare
and Gaudreau, 1996 ; Lang and Pare, 1998 ). Thus, antidromically
activated neurons displayed very low firing rates and long spike
durations, and none of the fast firing neurons with short-spike
durations could be antidromically activated. It is not clear whether
these criteria would be valid in all other preparations, because the
firing rates of neurons in the BLA may differ depending on the
anesthetic and stage of the sleep-wake cycle (Ben-Ari et al.,
1974 ).
Effects of DA on spontaneous firing of BLA neuron subtypes
Slow-firing, presumed projection neurons exhibited a decrease in
firing rate after systemic administration of DA agonists, which could
be reversed after systemic administration of DA antagonists. Furthermore, systemic administration of DA antagonists alone increased the firing of slow-firing and nonfiring neurons, some of which were
identified as projection neurons using antidromic activation. Taken
together, these results imply that the spontaneous firing of projection
neurons is attenuated by DA receptor activation and that there may be a
tonic DAergic inhibition on BLA projection neurons.
When using systemic drug administration, it is unclear whether the
effects of DA receptor activation are localized to the BLA. Thus, we
undertook co-iontophoresis of DA and glutamate in the BLA. When
performing glutamate iontophoresis, the probability of recording from
projection neurons is increased. These neurons comprise ~80% of BLA
neurons (McDonald, 1985 , 1992 ) and tend to have a larger soma size,
yielding more distributed field potentials (Humphrey and Schmidt,
1990 ), and are thus much easier to record with the larger five-barrel
microiontophoresis pipettes than are the smaller interneurons (for a
detailed discussion, see Stone, 1985 ). Consistent with this
observation, and similar to earlier studies (Ben-Ari and Kelly, 1976 ;
Spehlmann and Norcross, 1984 ), DA attenuated the firing of BLA neurons
induced to fire with co-iontophoresis of glutamate. All of the presumed
projection neurons exposed to glutamate iontophoresis in this study
were not spiking spontaneously when the glutamate current was retained,
and additionally, several were antidromically activated from the NAc.
Thus, DA receptor activation within the BLA is sufficient to attenuate
BLA projection neuron firing and is likely to occur via a direct
postsynaptic effect of DA on projection neurons.
Fast-firing, presumed interneurons display an increase in firing rate
after systemic administration of DA agonists that is reversed by DA
antagonist administration. Similarly, systemic administration of DA
antagonists alone decreases the firing rate of the presumed
interneurons. This may provide a mechanism by which DA has indirect
inhibitory actions on projection neurons of the BLA. These interneurons
display extensive axonal arborization, with many terminals onto the
somata of BLA pyramidal neurons (McDonald, 1985 ; Carlsen, 1988 ; Smith
et al., 1998 ), and can thus exert powerful modulation over pyramidal
neuron firing (Lang and Pare, 1997 ). Earlier studies examining
spontaneous firing rates and using the indirect DA agonist amphetamine,
and DA antagonists, yielded heterogeneous results (Wepsic and Austin,
1971 ; Bashore et al., 1978 ; Wang and Rebec, 1996 ). A parsimonious
reconciliation with our data are that these earlier studies did not
parcellate responses based on neuronal subtype. Additionally, some of
these studies were performed in awake rats, which may represent a
substantially different situation.
To further test whether this response was a DA-mediated effect, the
SN/VTA was electrically stimulated at parameters similar to those shown
to evoke DA release in the BLA (Garris and Wightman, 1994 ). SN/VTA
stimulation increased the firing rate of fast-spiking neurons while
decreasing the firing rate of slowly firing neurons. Additionally,
SN/VTA stimulation decreased the iontophoretic glutamate-evoked excitation of nonfiring neurons in the BLA. These effects were attenuated after systemic administration of the DA antagonist haloperidol. The stimulus parameters used were not substantially different from the spontaneous discharge characteristics exhibited by
DA neurons when they are in a burst firing mode (Grace and Bunney,
1983 ; Freeman et al., 1985 ), demonstrating the potential physiological
relevance of modulation of BLA neuronal activity by endogenous DA.
This study indicates that the direction of the effects of DA on
neuronal firing rates is neuron subtype-specific, and not firing
rate-dependent. Thus, nonfiring neurons, as well as some antidromically
activated neurons, could be induced to fire by iontophoretic
application of glutamate to rates that in some cases exceeded 10 Hz;
nevertheless, DA receptor activation still decreased the firing rate of
these neurons.
One puzzling result is that both the D1 and
D2 DA receptor agonists produced similar effects
on neuronal firing. Further studies are ongoing to determine whether
this is the case under other conditions. However, it is conceivable
that activation of the two classes of DA receptors may have similar
effects but via different substrates (Hoffman and Johnston, 1998 , in
hippocampus), receptor localization on neuronal subtypes (Gaspar et
al., 1995 , DA receptors in cortex; Mahanty and Sah, 1998 , glutamate
receptors in BLA), or glutamate-receptor interaction (as seen in
striatum, Cepeda et al., 1993 ).
One broad interpretation of results pertaining to DA receptor
activation and firing rate is that DA nonspecifically decreases the
firing of projection neurons, and by doing so decreases the general
excitatory output of the BLA. By modulating the diffuse BLA projection
systems, DA may exert broad effects on motoric (NAc) and autonomic
(central nucleus of the amygdala and hypothalamus) function, as well as
alterations of attention (MD/PFC) and arousal (indirect projections to
nucleus basalis, Kretteck and Price, 1977 , 1978 ; McDonald, 1987 , 1991 ;
Savander et al., 1997 ; Pitkanen and Amaral 1998 ). Additionally, this
combined DA and GABA inhibition may function as a noise filter, wherein
only the strongest inputs into the BLA can drive the amygdalar
contribution to behavior.
DA modulation of afferent inputs to the BLA
DA receptor activation appears to exert opposite effects on
neuronal responses evoked from Te3 and mPFC (and MD), areas that are
representative of sensory and limbic inputs, respectively. Specifically, the sensory input was potentiated by DA, whereas the
limbic inputs were attenuated. However, the mechanism of these actions
is unclear. For example, these opposite effects may be attributable to
presynaptic downmodulation (Maura et al., 1988 ; Pennartz et al., 1992 ;
O'Donnell and Grace, 1994 ; Delle Donne et al., 1996 ; Flores-Hernandez
et al., 1997 ; Nicola and Malenka, 1997 ) or postsynaptic potentiation of
glutamate afferent systems, as described in other preparations. Thus,
in the striatum, DA receptor activation is proposed to have opposing
modulatory effects on NMDA and AMPA/kainate receptors (Cepeda et al.,
1993 ), and in the BLA there is evidence for different ratios of NMDA
and AMPA receptors at certain synapses (Mahanty and Sah, 1999 ) (but see
Weisskopf and LeDoux, 1999 ).
Tentative criteria were established to operationally define
monosynaptic, polysynaptic, and antidromic responses. However, the
possibility of excitation via a collateral of antidromically activated
neighboring neurons could not be excluded because of a continuum of
antidromic and orthodromic response latencies. Although stimulation of
fibers of passage could also not be excluded, it is unlikely to have
been the primary source of excitation from cortical areas that send
dense projections to the BLA.
Integrated function of DA in the BLA
DA in the BLA appears to exert a dual filtering role: (1) a
nonspecific filtering accomplished via GABAergic interneurons that is
hypothesized to attenuate the weaker inputs, and (2) a selectivity
filter accomplished by modulation of sensory and limbic inputs in
opposite directions. Thus, DA may provide a mechanism by which sensory
inputs become more capable of driving projection neuron firing than the
limbic inputs examined. It is interesting to note that sensory inputs
(albeit only sensory thalamus inputs have been examined in depth to
date) are potentiated during associative conditioning (McKernan and
Shinnick-Gallagher, 1997 ; Rogan et al., 1997 ). The potentiated inputs
may be representative of a particular sensory stimulus that has
acquired affective valence and has become more adept at driving the
affective responses of the organism (Campeau and Davis, 1995 ; Rogan and
LeDoux, 1995 ). This behavioral tendency is potentiated by DA in the BLA
(Gasbarri et al., 1993 ; Lamont and Kokkinidis, 1998 ; but see also Nader and LeDoux, 1999 ), perhaps by a combined augmentation of weaker inputs
and a potentiation of already potentiated sensory inputs. The mPFC
input has been hypothesized to suppress amygdala-mediated responses (Al
Maskati and Zbrozyna, 1989 ; Wan and Swerdlow, 1997 ), perhaps via
feedforward inhibition (J. A. Rosenkranz and A. A. Grace,
unpublished observations; similarly, with regards to
perirhinal/entorhinal cortical inputs, Lang and Pare, 1998 ). However,
during situations in which a sensory-driven affective response is
appropriate, such as behavioral responding during presentation of a
stressful sensory stimulus, DA is released in the amygdala (Coco et
al., 1992 ; Inglis and Moghaddam, 1999 ). In this situation, we
hypothesize that the mPFC afferent inhibitory influence over the BLA
output is reduced by DA receptor activation, allowing sensory-driven
affective responses to predominate.
Our results indicate that DA plays a powerful modulatory role in the
BLA, a site involved in affective learning and affective responding.
Thus, DA receptor activation, via cooperative modulation of
interneurons, projection neurons, and excitatory inputs, filters particular afferent inputs based on their strength and their source. This study provides the first description of differential effects of DA
receptor activation on the projection neurons and presumptive interneurons, as well as on sensory and limbic afferents into the BLA.
This provides a neurophysiological substrate for behavioral changes
noted under conditions of artificially manipulated DA transmission in
the BLA, and more importantly, under conditions in which DA is released
in the BLA, such as during the presentation of an aversive sensory
stimulus and during some forms of learning.
 |
FOOTNOTES |
Received July 26, 1999; revised Sept. 10, 1999; accepted Sept. 30, 1999.
This work was supported by National Institutes of Health Grants
MH57440, MH45156 (A.A.G.), and NS 07433 (J.A.R.). We acknowledge the excellent technical assistance of Nicole MacMurdo and Brian Lowry.
Correspondence should be addressed to J. Amiel Rosenkranz,
Department of Neuroscience, 446 Crawford Hall, University of
Pittsburgh, Pittsburgh, PA 15260. E-mail: rosenk{at}bns.pitt.edu.
 |
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P. J. Kruzich and R. E. See
Differential Contributions of the Basolateral and Central Amygdala in the Acquisition and Expression of Conditioned Relapse to Cocaine-Seeking Behavior
J. Neurosci.,
July 15, 2001;
21(14):
RC155 - RC155.
[Abstract]
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