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The Journal of Neuroscience, June 1, 2001, 21(11):4090-4103
Dopamine Attenuates Prefrontal Cortical Suppression of Sensory
Inputs to the Basolateral Amygdala of Rats
J. Amiel
Rosenkranz1 and
Anthony A.
Grace1, 2
Departments of 1 Neuroscience and
2 Psychiatry, University of Pittsburgh, Pittsburgh,
Pennsylvania 15260
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ABSTRACT |
The basolateral complex of the amygdala (BLA) plays a significant
role in affective behavior that is likely regulated by afferents from
the medial prefrontal cortex (mPFC). Studies suggest that dopamine (DA)
is a necessary component for production of appropriate affective
responses. In this study, prefrontal cortical and sensory cortical
[temporal area 3 (Te3)] inputs to the BLA and their modulation by DA
receptor activation was examined using in vivo
single-unit extracellular recordings. We found that Te3 inputs are more
capable of driving BLA projection neuron firing, whereas mPFC inputs
potently elicited firing from BLA interneurons. Moreover, mPFC
stimulation before Te3 stimulation attenuated the probability of
Te3-evoked spikes in BLA projection neurons, possibly via activation of
inhibitory interneurons. DA receptor activation by apomorphine
attenuated mPFC inputs, while augmenting Te3 inputs. Additionally, DA
receptor activation suppressed mPFC-induced inhibition of Te3-evoked
spikes. Thus, the mPFC may attenuate sensory-driven amygdala-mediated affective responses via recruitment of BLA inhibitory interneurons that
suppress sensory cortical inputs. In situations of enhanced DA levels
in the BLA, such as during stress and after amphetamine administration,
mPFC regulation of BLA will be dampened, leading to a disinhibition of
sensory-driven affective responses.
Key words:
dopamine; amygdala; prefrontal cortex; temporal area 3; Te3; electrophysiology
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INTRODUCTION |
Disorders of the nervous system that
include an affective component are believed to involve dysfunction
within the amygdala. Thus, evidence of morphological or functional
abnormalities of the amygdala have been found in schizophrenia,
depression, anxiety, and temporal lobe epilepsy (Breier et al., 1992 ;
Goddard and Charney, 1997 ; Soares and Mann, 1997 ; Lawrie and
Abukmeil, 1998 ; Rosen and Schulkin, 1998 ; Drevets, 1999 ; Ninan,
1999 ; Tebartz van Elst et al., 1999 , 2000 ; Wright et al., 1999 ; Loup et
al., 2000 ). In addition, several of these disorders are proposed
to exhibit disruptions in the prefrontal cortical areas that are
connected to the amygdala. The dopamine (DA) system also appears to
play a role in regulating this system, because dopaminergic
manipulations can induce changes in affect and are often a target for
therapeutic intervention in the treatment of these disorders.
The basolateral complex of the amygdala (BLA) [comprised of the
lateral nucleus (LAT), basolateral nucleus (BL), and basomedial nucleus] receives excitatory cortical inputs that drive or
regulate BLA output neuron activity. Several association sensory
cortical regions, such as perirhinal cortex and temporal cortical area 3 (Te3), may drive BLA output in the presence of specific salient sensory stimuli (Arnault and Roger, 1990 ; LeDoux et al., 1990 ; Mascagni
et al., 1993 ; Shi and Cassell, 1997 ; Poremba et al., 1998 ). Thus,
lesions of association sensory cortical areas will reduce the
specificity of the affective response or even block expression of an
affective response to a conditioned stimulus (Teich et al., 1989 ; Rosen
et al., 1992 ; Campeau and Davis, 1995 ; Armony et al., 1997 ).
Furthermore, learning-induced plasticity occurs in parallel with
affective conditioning in both primary and secondary sensory cortices
(Diamond and Weinberger, 1984 , 1986 ; Edeline et al., 1993 ; Quirk et
al., 1997 ; Armony et al., 1998 ). The medial prefrontal cortex (mPFC)
also projects to the BLA (Sesack et al., 1989 ; McDonald et al., 1996 )
and may regulate the expression of some amygdala-mediated behaviors by
selection of a set of BLA outputs or general inhibition of output.
Thus, stimulation of the mPFC will inhibit the production of affective behavior produced by BLA (Al Maskati and Zbrozyna, 1989 ; Zbrozyna and
Westwood, 1991 ), and PFC lesions appear to disinhibit some affective
behaviors or result in perseverative affective responses to stimuli
(Jaskiw and Weinberger, 1992 ; Morgan and LeDoux, 1995 ; Dias et al.,
1996 ; Jinks and McGregor, 1997 ) (see also Powell et al., 1994 ; Gewirtz
et al., 1997 ). The balance of sensory and mPFC inputs may
determine whether an amygdala-mediated affective response will be
produced in the presence of an affective sensory stimulus.
In the presence of affective sensory stimuli, activity is enhanced in
some sensory-related cortical areas that project to the BLA (Diamond
and Weinberger, 1986 ), and dopamine (DA) levels in the BLA are
increased (Coco et al., 1992 ; Hori et al., 1993 ; Harmer and Phillips,
1999b ; Inglis and Moghaddam, 1999 ). DA receptor activation in the BLA
is necessary for, and may even potentiate, some amygdala-mediated
behaviors performed in response to sensory stimuli (Borowski and
Kokkinidis, 1996 ; Lamont and Kokkinidis, 1998 ; Guarraci et al., 1999 ;
Nader and LeDoux, 1999 ). Our previous studies demonstrated that DA
receptor activation alters the balance of cortical inputs to the BLA,
attenuating mPFC inputs and potentiating Te3 inputs to this region
(Rosenkranz and Grace, 1999 ). We now show that DA receptor stimulation
can remove mPFC inhibition of the BLA and potentially allow a sensory
cortical-driven affective response to be produced. This was done by
examining the electrophysiology of the interactions of the mPFC and Te3
inputs to the BLA and the effects of DA receptor activation on this interaction.
A portion of these data has been presented in abstract form (Rosenkranz
and Grace, 2000 )
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MATERIALS AND METHODS |
Materials
Apomorphine HCl and chloral hydrate were purchased from Sigma
(St. Louis, MO). Haloperidol was a generous gift from McNeil Laboratories.
Preparation
All procedures were performed in accordance with the National
Institutes of Health Guide for the Care and Use of Laboratory Animals and were approved by the University of Pittsburgh
Institutional Animal Care and Use Committee. Male Sprague Dawley rats
(weight 250-400 gm) were housed in pairs in a temperature-controlled
environment with 12 hr light/dark schedule. Food and water were
available ad libitum. Rats were anesthetized with an
intraperitoneal injection of 400 mg/kg of 8% chloral hydrate
and placed in a stereotaxic device (Kopf Instruments, Tujunga, CA).
Additional supplements of chloral hydrate were administered via a
lateral tail vein catheter, or intraperitoneally, as necessary. The
rat's temperature was monitored using a rectal temperature probe
(Precision Thermometer 4600, YSI, Yellow Springs, OH), and maintained
at ~37°C using a heat control unit and heating pad (Fintronics,
Orange, CT). Incisions were made in the scalp to expose the skull, and
burr holes were drilled and the dura removed overlying the BLA, mPFC, Te3 and, in some cases, the stria terminalis. Coordinates for these
areas were determined using a stereotaxic atlas (Paxinos and Watson,
1997 ) as follows: BLA, 5.3 lateral (L), 3.0 caudal (C) from bregma;
mPFC, +3.0 rostral (R), 0.7 L; Te3, 5.0 C, 6.5 L; stria terminalis,
0.9 R, 1.7L, 5.4 ventral.
Single-unit recordings
Single-barrel electrodes were constructed using a vertical
microelectrode puller (PE-2; Narishige, Tokyo, Japan), and filled with
2% Pontamine sky blue in 2 M NaCl (impedance measured
in situ ranged between 10 and 20 M measured at 1 kHz).
Recording electrodes were lowered slowly into the amygdala via a
hydraulic micromanipulator (MO-8; Narishige). In some experiments a
twisted bipolar electrode was lowered into the stria terminalis or the forceps minor of the corpus callosum lateral to the mPFC. Bipolar concentric stimulating electrodes (Plastics One, Roanoke, VA) were
lowered into the remaining structures, with the depth adjusted to
obtain maximal amplitude of evoked field potentials recorded in the
BLA; this ranged from 4.0 to 5.3 mm ventral for the mPFC placement and
5.1-5.8 mm ventral for the Te3 placement. Experiments began no earlier
than 30 min after stimulating electrode placement. Stimulation was
delivered using a Grass (Quincy, MA) S88 stimulator, with the intensity
ranging between 75 and 900 µA with a duration of 0.3-0.4 msec.
Stimulation pulses were photoelectrically isolated (PSIU6G; Grass). At
the completion of each experiment Pontamine sky blue was ejected from
recording electrodes with constant 25 µA current.
Drug administration
Apomorphine was dissolved in 0.9% saline, and haloperidol was
dissolved in dilute lactic acid, to a final concentration of 0.5 or 1.0 mg/ml. Drugs were administered via a lateral tail vein in volumes of
0.05-0.4 ml at an approximate rate of 0.1 ml/10 sec. A minimum of 4 min elapsed before the effects of the drugs were examined.
Data collection
Signals from the recording electrode were amplified by a
headstage connected to the preamplifier before being fed into a window discriminator/amplifier (Fintronics), and an audio monitor (AM5; Grass). Signals were filtered with a low cutoff of 200 Hz and a high
cutoff of 4 kHz and displayed on an oscilloscope (V-134 Hitachi, Tokyo,
Japan). The data were also stored on video tapes after being digitized
(DR-390; NeuroData Neurocorder, New York, NY). Data were simultaneously
collected and monitored online using software developed in this
laboratory (Neuroscope) and stored on a personal computer (Gateway 2000 P5-100XL) for subsequent off-line analysis.
Data analysis
The particulars of the data analysis, which depended on the type
of neuronal activity monitored, were as follows:
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 ). Stable baseline firing rates were obtained for
a minimum of 2 min before drug administration. A minimum of 1-2 min
was allowed after electrical stimulation before basal firing rate was
recorded. After stable baseline data were collected, systemic drug
administration was performed, and neuronal activity was recorded for a
minimum of 4 min before a subsequent administration occurred.
Additionally, the duration of averaged action potentials (5-10 spikes)
recorded from BLA units was quantified as the time from the initial
change from baseline to the return to baseline. Because the duration
may vary with electrode distance from soma, only neurons displaying at
least biphasic action potentials, presumably close to the electrode,
were included. 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. Similar to our previous study (Rosenkranz and
Grace, 1999 ), firing rate population distributions and firing rate
distributions as a function of action potential duration were examined,
and 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, 0.3 msec
duration). Evoked responses consisted of single units. The latency of
response to an input was determined as the time from the beginning of
the stimulus artifact to the beginning of the evoked spike. Single
units were operationally defined as monosynaptic if they showed very
little shift in latency when increasing the stimulus intensity, yet
they showed some range (1-3 msec) in latency distribution
("jitter") and did not follow high-frequency stimulation (>250
Hz), ruling out antidromic activation. Stimulus intensities were varied
to determine an evoked spike response probability of ~2-12%,
defined as spike threshold (T in graphs). Lower stimulus intensities
did not evoke spikes (0 spikes in 50 stimuli). Stimulus intensity was
increased in 0.1 mA steps from the threshold intensity to generate an
input-output curve. However, to ensure minimal current spread,
stimulus intensity was not increased >1.0 mA. Regression analysis was
performed on input-output curves to determine the stimulus intensity
that resulted in 50% response probability.
In an attempt to ensure that responses evoked from electrodes in the
temporal cortex were attributable to stimulation of Te3 and not the
adjacent perirhinal cortex, a concentric bipolar stimulating electrode
was used to control current spread, and stimulation intensities did not
exceed 1.0 mA. For this reason, we followed the prerequisite that the
tip of the stimulating electrode had to be histologically verified to
lie within Te3. Nevertheless, some current spread is inevitable.
However, Te3 projects almost exclusively to the lateral nucleus of the
amygdala, whereas parts of perirhinal cortex also project to the
basolateral nucleus (Shi and Cassell, 1999 ). Thus, if current
consistently spread into the perirhinal cortex, evoked responses in the
basolateral nucleus would be expected to be common. However, the vast
majority of responses evoked from temporal cortical stimulation were
recorded within the lateral nucleus.
Paired stimulus pulses were delivered with 10-200 msec interstimulus
interval (ISI) in a 2 sec cycle at a stimulus intensity that resulted
in ~50% spike probability to the first stimulus. Dual mPFC-Te3
stimulation was delivered at delays of 0-200 msec and cycled at 0.6 Hz. For the dual mPFC-Te3 stimulations, the intensity of the Te3
stimulation chosen resulted in a Te3-evoked spike with ~50%
probability in the absence of any mPFC stimulation, whereas the
intensity of the mPFC stimulation was altered between 0.2 and 0.8 mA
until an intensity was found that appeared to cause significant
suppression of Te3 inputs. If drug was to be administered, mPFC
stimulus intensities were chosen that caused less than maximal suppression of Te3 inputs (i.e., 80-90% inhibition).
After stable baselines were recorded, drugs were administered
systemically as above, and drug-induced changes in the evoked spike
probability was measured. A minimum of 30 sweeps was obtained before
and after drug administration at several time points and at each
stimulus intensity examined before drug administration (for a total of
at least 120 stimulations). The effects of drug and electrical
stimulation were examined using ANOVAs, and when significant main
effects were observed, two-tailed t tests were performed
between individual groups.
Histology
Verification of recording and stimulating electrode sites was
obtained histologically. Rats were deeply anesthetized, decapitated, and the brains were removed and fixed in 10% formalin for a minimum of
24 hr. Brains were cryoprotected with 15-20% sucrose in 0.1 M phosphate buffer, then frozen and sectioned with a
cryostat or with a sliding microtome into 40-60 µm coronal sections.
Mounted sections were then stained with cresyl violet. Recording sites were identified by the Pontamine sky blue spot (see
Electrophysiological recordings). The stimulation site was determined
from the ventralmost point of the stimulating electrode track
identified under microscopic examination.
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RESULTS |
Characteristics of BLA neurons
All the recording sites used in this study were verified to be
within the lateral or basolateral nucleus of the amygdala (Alheid et
al., 1995 ) and confirmed by the location of the Pontamine sky blue
iontophoresis (Fig. 1). A total of 210 neurons were included for analysis in this study. Firing rates and
action potential durations of BLA neurons recorded extracellularly were
consistent with those previously characterized in anesthetized rats
(Rosenkranz and Grace, 1999 ). Similar to previous studies that examined
spontaneous firing, plotting neuronal firing rates by
stimulation-evoked action potential duration revealed two populations
of neurons (Fig. 2). Thus, evoked spikes
recorded from BLA neurons were characterized as originating from
projection neurons if they displayed long duration (>2 msec) and slow
spontaneous action potential firing rate (<0.5 Hz) or presumptive
interneurons if they displayed short-duration (<2 msec) and higher
baseline firing rates (>0.5 Hz) (Fig. 2). Stimulation of Te3, mPFC, or
stria terminalis caused antidromic activation only of neurons that
displayed long duration, infrequent action potentials, whereas the
fast-spiking short duration action potential neurons never exhibited
antidromic activation. This concurs with intracellular studies from BLA
and other brain areas, demonstrating that morphologically identified
projection neurons tend to display long-duration action potentials,
whereas inhibitory interneurons display short-duration action
potentials (Washburn and Moises, 1992 ; Rainnie et al., 1993 ; Freund and
Buzsaki, 1996 ; Pare and Gaudreau, 1996 ; Lang and Pare, 1998 ).

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Figure 1.
Example of Pontamine sky blue-labeled
recording site. The recording site could be effectively determined by
examination of the Pontamine sky blue iontophoresed from the tip of the
electrode at the conclusion of the recording. The nuclei were
determined after cresyl violet staining of the tissue sections.
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Figure 2.
Characteristics of BLA neuronal
activity. A, Evoked spikes were characterized as
originating from projection neurons or interneurons using the criteria
of firing rate and spike duration. Aligned with the
y-axis is a distribution histogram of firing rates, and
aligned with the x-axis is a distribution histogram of
spike durations (from a randomly selected sample of neurons,
n = 59). The circles represent each
individual neuron plotting its spike duration as a function of its
firing rate. The presumed interneurons (black circles)
consistently show faster firing rate and shorter spike duration than do
the presumed projection neurons (gray circles).
B, Antidromic responses of BLA neurons that project to
the mPFC (AD; n = 34) display longer
latencies than mPFC-evoked responses in BLA interneurons
(IN; n = 40). Therefore, the
significantly shorter latency of mPFC-evoked responses on BLA
interneurons compared with projection neurons (PN;
n = 42) cannot be attributable to antidromic
activation of a BLA neuron that projects to the mPFC. Antidromic
activation of BLA projection neurons is confirmed by the ability of the
spikes to follow high-frequency stimulation (300 Hz, 0.6 mA, 0.4 msec
duration, three stimuli at arrows)
(C) and constant response latency
(1), and collision (3) with
a spontaneous spike (2)
(D).
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Characteristics of mPFC and Te3 inputs
All stimulation sites included in this study were histologically
verified to lie within the infralimbic or prelimbic cortex, Te3, or
stria terminalis. The Te3 was discriminated from dorsally adjacent Te1
and ventrally adjacent perirhinal cortex by the reduced density of
layer IV and distance from the rhinal sulcus (Zilles and Wree, 1995 ).
Consistent with anatomical studies (Arnault and Roger,
1990 ; Mascagni et al., 1993 ; McDonald et al., 1996 ; Shi and Cassell,
1997 ; Farb and LeDoux, 1999 ), the majority of Te3-evoked responses were
observed in the lateral nucleus, the majority of infralimbic
cortical-evoked responses were observed in the lateral nucleus, and the
majority of prelimbic cortical-evoked responses were observed in the
basolateral nucleus (Fig. 3). Few
responses were recorded in the basomedial nucleus, probably because of
sampling biases, and therefore were not included in this study. Only
short-latency responses that met criteria for putative monosynaptic
responses (see Materials and Methods) were included in the data
analysis. Stimulation of Te3 evoked short-latency, presumably
monosynaptic spikes with an average latency of 10.7 ± 0.39 msec
(mean ± SEM; n = 53; range, 6.9-14.0 msec) in
projection neurons. In several cases, single-pulse stimulation of Te3
evoked bursts of action potentials in projection neurons. In putative
interneurons, Te3 stimulation evoked monosynaptic spikes with a mean
latency of 9.9 ± 0.50 msec (n = 24; range,
5.9-16.5). The majority of neurons that responded to Te3 stimulation
with a short-latency excitation were located in the lateral nucleus of
the amygdala. Stimulation of mPFC evoked short-latency, presumably
monosynaptic responses in projection neurons with a mean latency of
22.2 ± 0.689 msec (n = 42; range, 9.5-36.0)
(Fig. 2). The infralimbic and prelimbic (Cg3) cortices were defined
relative to the tenia tecta and fiber bundle, the forceps minor of the
corpus callosum, as well as the decreased density of superficial layers
of the infralimbic cortex compared with the prelimbic cortex. There
were no significant differences in latency between responses evoked by
stimulation of infralimbic cortex (projection neurons: 21.3 ± 1.08 msec, n = 16; interneurons: 16.3 ± 1.49 msec, n = 19) when compared with prelimbic cortex
(projection neurons: 23.0 ± 1.00 msec, n = 26; interneurons: 15.1 ± 1.30 msec, n = 21). Thus,
infralimbic and prelimbic cortical-evoked responses were grouped
together for this analysis. In BLA projection neurons that did not
display a monosynaptic mPFC-evoked excitatory response or at mPFC
stimulation intensities that were too low to evoke spikes in BLA
projection neurons, mPFC stimulation often caused a suppression of
spontaneous firing (Fig. 4). Stimulation
of mPFC also often caused short-latency, presumably monosynaptic,
bursts of action potentials in BLA interneurons (Fig. 4) with a mean
latency of 15.7 ± 6.18 msec (n = 40; range, 7.4-26 msec) (Fig. 2). The latency of the mPFC-evoked responses in BLA
interneurons was significantly shorter than the latency of mPFC-evoked
short-latency responses in projection neurons (t test,
p < 0.01). Because few mPFC inputs to
parvalbumin-positive interneurons of the BLA have been observed (Smith
et al., 2000 ) and because the BLA sends significant projections to the
mPFC, one potential confound could be that the significantly shorter latency of mPFC-evoked responses in interneurons is attributable to
antidromic activation of a BLA-to-mPFC collateral to a BLA interneuron
and not the result of stimulation of an mPFC neuron that projects to
the BLA. Two strategies were used to avoid this confound: (1) The
stimulus durations used (0.3 msec) were less than those that would
maximally activate fibers because antidromic activation of fibers often
required durations >0.4 msec in our preparation. However, terminals
(as well as cell bodies) in the mPFC would still be excited. (2) The
latency of antidromic responses of BLA neurons after mPFC stimulation
was examined. These neurons followed high-frequency stimulation, had
constant response latency, and often displayed collision of a
spontaneously occurring spike with a mPFC-evoked spike (Fig. 2). BLA
neurons antidromically activated from mPFC had a mean latency of
17.6 ± 0.805 msec (n = 34; range, 10.0-25.7
msec) (Fig. 2). Because the majority of mPFC-evoked responses of BLA
interneurons were <15 msec and the majority of antidromic responses
after mPFC stimulation >15 msec, it is unlikely that antidromic
activation of a collateral is responsible for significantly shorter
latencies of the interneuronal response.

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Figure 3.
Placement of stimulating and recording electrodes.
A, Stimulating electrode placements in the Te3
(3; 4.3 to 6.7 mm bregma) that evoked short-latency
responses in the BLA (2; black and
white circles, 2.8 to 4.2 mm bregma), and mPFC
stimulation sites (1; +4.2-2.2 mm bregma) that
suppressed Te3-evoked responses (2; white
circles). B, Stimulating electrode placements in
the infralimbic (gray circles) and prelimbic
(black circles) cortex subdivisions of the mPFC (1;
+4.2-2.2 mm bregma) that evoked short-latency responses in the BLA
(2; white circles indicate infralimbic
cortex-evoked responses, and black circles indicate
prelimbic cortex-evoked responses, 2.3 to 3.8 mm bregma). This
figure included only those neurons used for analysis in this
study.
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Figure 4.
Prefrontal cortical stimulation evokes bursts of
spikes in BLA interneurons and suppresses the activity of many
projection neurons. A, mPFC stimulation (0.4 mA, 0.3 msec duration) evokes a short-latency burst of spikes in a BLA
interneuron. B, Peristimulus time histogram (PSTH) of
mPFC-evoked short-latency responses in a single BLA interneuron (10 sweeps, 0.6 Hz, 0.4 mA, 0.3 msec duration). C, PSTH of
mPFC-induced suppression (*) of spontaneous spike discharge of a BLA
projection neuron (60 sweeps, 0.5 mA, 0.6 Hz, 0.3 msec duration).
Stimulation occurs at time = 0 in each PSTH.
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Stimulus intensity-response probability curves (I-O
curves) were constructed in an attempt to compare inputs. Threshold was defined as the stimulation intensity value that caused 2-12% spike probability in BLA neurons. Lower stimulation intensities were tested
and did not evoke spikes. From threshold, stimulation intensity was
increased in 0.1 mA steps (threshold is represented as "T", and
each 0.1 mA step is represented as ascending values, i.e., 2, 3, 4, etc). There were no significant differences in stimulus intensity-response probability curves between infralimbic cortical- and prelimbic cortical-evoked responses in the BLA (Table
1). Thus, infralimbic and prelimbic
cortical-evoked responses were grouped together. There were significant
main effects of stimulus intensity on each input (Te3 to interneuron
df = 77, F = 21.2, p < 0.001;
mPFC to interneuron df = 57, F = 8.35, p < 0.001; Te3 to projection neuron df = 163, F = 54.1, p < 0.001; mPFC to
projection neuron df = 96, F = 13.5, p < 0.001). There was also a significant main effect
of input. Thus, Te3 stimulation was much more capable of driving BLA
projection neuron firing than mPFC stimulation (F = 14.64, df = 35, p < 0.001). Even at 0.4 mA above
threshold, mPFC stimulation often did not reliably evoke spikes in BLA
projection neurons (only 2 of 21 reached >90% response probability)
(Fig. 4), whereas at the same intensities above threshold, Te3
stimulation often evoked bursts of spikes in projection neurons, and 21 of 36 reached >95% response probability within 0.4 mA above threshold (Fig. 5). There were no differences in
the mean probability at threshold stimulation intensity between any
inputs (one-way ANOVA; p = 0.99; F = 0.0368; df = 91; range, 6.3-6.8% response probability). Significant differences between mPFC and Te3 inputs to BLA projection neurons were seen at every other stimulus intensity tested (Fig. 5)
(0.1 mA above threshold, t = 3.74; 0.2 mA above
threshold, t = 5.35; 0.3 mA above threshold
t = 4.64; 0.4 mA above threshold, t = 3.70; p < 0.001 and df = 55 for each comparison).
An opposite pattern was seen in interneurons, in which mPFC stimulation
was more adept at driving interneurons than was Te3 stimulation (Fig. 4) (F = 4.83; df = 31; p < 0.05),
although presumably because of response variability, this was only
significant at 0.1 and 0.3 mA above threshold (t = 2.29, df = 28, p < 0.05 and t = 2.06, df = 27, p < 0.05, respectively). mPFC
inputs were likewise more adept at driving interneurons than projection
neurons (F = 6.87; df = 27; p = 0.014), an effect that was significant at all stimulus intensities
except for threshold (0.1 mA above threshold, t = 3.51, df = 32; 0.2 mA above threshold, t = 3.87, df = 32; 0.3 mA above threshold, t = 3.78, df = 31;
0.4 mA above threshold, t = 3.81, df = 19; for
each comparison, p 0.001). However, there was no
significant main effect between Te3 inputs to interneurons or
projection neurons (F = 1.98; df = 39;
p > 0.1). It is possible that mPFC inputs target
distal dendrites of BLA projection neurons, or more proximal regions,
and their strength is limited by feedforward inhibition, as indicated
by the lower potency of mPFC inputs to projection neurons compared with
Te3 inputs, and the shorter latency and more potent response to mPFC
stimulation in interneurons. This view is supported by observation that
mPFC-evoked responses had a significantly shorter latency in
interneurons compared with BLA projection neurons, whereas the latency
of Te3-evoked responses in interneurons and projection neurons
overlapped (Fig. 6). This difference in
the latency of interneuronal activation relative to projection neuron
activation supports the possibility that the diminished mPFC-evoked
responses in projection neurons is dampened by previous activation of
interneurons. This contrasts to Te3 stimulation, which simultaneously
activates interneurons and projection neurons. The differences in
latency and potency observed between mPFC- and Te3-evoked responses are
probably not caused by sampling biases. Thus, comparison of responses
evoked from stimulation of the division of the mPFC that projects to the lateral nucleus (infralimbic cortical inputs) with Te3 inputs, which also primarily target the lateral nucleus, still yielded significant differences. Furthermore, infralimbic cortex-evoked responses did not differ from prelimbic cortex-evoked responses (see
above). There were also no significant differences between the lateral
and basolateral nuclei when comparing the latency of mPFC inputs, the
firing rate, the action potential duration, or the
ES50 (stimulation intensity that produced a 50%
response probability) (Table 2). This
indicates that the differences observed between Te3 and mPFC inputs are
not caused by differences in the subnuclei to which they preferentially
project. The differences between interneurons and projection neurons
were still observed.

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Figure 5.
mPFC and Te3 monosynaptic inputs exert
different effects on BLA interneurons and projection neurons.
A, mPFC stimulation at increasing stimulus intensities
is more effective at driving BLA interneurons than is stimulation of
Te3 inputs. B, Te3 stimulation at increasing intensities
is more effective at driving projection neuron firing than is
stimulation of mPFC inputs. To compare stimulation-response curves,
threshold stimulation intensity (T) is the lowest
stimulation that evokes a spike at least once in >40 consecutive
attempts (ranges, 2-12% spike probability). Stimulation intensities
0.05 mA lower than T do not evoke any spikes in at least 50 stimulations. From threshold stimulation intensity, the intensity is
increased in steps of 0.1 mA. Each 0.1 mA step is labeled
consecutively, beginning at 2. The Te3 and mPFC inputs significantly
differ from each other at every stimulus intensity plotted, other than
threshold stimulation intensities (t test;
p < 0.05).
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Figure 6.
Differences in latency of afferent-evoked
responses between interneurons and projection neurons. A portion of
Figure 2 is reproduced here for comparison. Distribution histograms of
the latencies of mPFC-evoked responses (A) in BLA
projection neurons (top panel) and interneurons
(bottom panel) indicate that interneuronal
responses often precede responses in projection neurons, indicative of
the suppressive effect that the mPFC may exert over the BLA via
feedforward inhibition. This can lead to preclusion of BLA projection
neuron firing and, therefore, BLA output. However, the overlapping
latencies of Te3-evoked responses (B) in BLA
projection neurons (top panel) and interneurons
(bottom panel) indicates that Te3-evoked
inhibition may serve to inhibit competing paths or increase the acuity
of Te3-evoked excitation. Average latencies are represented by
vertical dashed lines.
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Paired-pulse stimulation of inputs led to heterogenous results.
Paired-pulse responses were classified by their dominant patterns as
displaying either paired-pulse facilitation (PPF; >30% increase in
response probability compared with baseline probability) or paired-pulse depression (PPD; >30% decrease in response probability compared with baseline response probability). When differences were
seen, PPD was divided into neurons that displayed early depression (>30% decrease in response probability at 10 msec interstimulus intervals compared with baseline response probability) or those that
displayed late depression (>30% decrease in response probability at
100 msec interstimulus intervals compared with baseline response probability). Te3 paired-pulse stimulation led to facilitation in 10 projection neurons and depression in 14 projection neurons (Fig. 5).
mPFC paired-pulse stimulation resulted in facilitation in four
projection neurons and depression in eight projection neurons (Fig.
7). In BLA interneurons, the response
patterns were more complex, with Te3 inputs displaying facilitation
(n = 7), early depression (n = 6), or
late depression (n = 3) (Fig. 7). Similarly, mPFC
inputs to interneurons displayed facilitation (n = 3),
early depression (n = 3), or late depression
(n = 3) (Fig. 7). A change of at least 30% is
considered a significant change based on analysis of our computed SD
(0.58) of the values of stimulus 2 probability divided by stimulus 1. A
t value of at least 2.2 is necessary for significance of
p < 0.05 in a two-tailed t test when there
are <10 degrees of freedom. From this information it is possible to
determine the minimal difference between conditions that would be
significant using the equation t = (x1 x2)/SD, where t = the t value
(2.2 is the minimal in this case), SD is 0.58, x1 is the
mean value of control conditions (no change = 1), and
x2 is the mean of the second condition (minimal change that
would yield significance in a t test). That value was
determined to be 27.6% change (~30%).

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Figure 7.
Patterns of paired-pulse facilitation
of Te3 and mPFC inputs to interneurons and projection neurons of the
BLA. Response probability to the second stimulation pulse is divided by
the first stimulation pulse. If there is no facilitation or depression,
the result will be a value of 1 (dashed line). Values
>1 indicate facilitation, whereas values <1 indicate depression. A
>30% change from baseline is considered significant (*).
A, Paired-pulse stimulation of mPFC (top
panel) or Te3 (bottom panel)
inputs led to either facilitation or depression of responses in BLA
projection neurons. B, In BLA interneurons, paired-pulse
stimulation of Te3 inputs (1) led to facilitation
(F), early depression (ED), or
late depression (LD; from top to
bottom panel). In BLA interneurons, paired-pulse
stimulation of mPFC (2) resulted in ED, LD, or F
(from top to bottom panel).
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mPFC-Te3 input interaction
In BLA projection neurons, single pulse stimulation of mPFC
(0.2-0.8 mA) before a single Te3 stimulation reduced the response to
the Te3 input (n = 23 of 27 neurons) (Fig.
8), examined in neurons that displayed no
monosynaptic response to mPFC stimulation. This effect was seen after
prelimbic cortical and infralimbic cortical stimulation. Given the
similarities between these inputs regarding other parameters, such as
latency and stimulus intensity-response curves, these inputs were
grouped here as well. The suppression was maximal at 20 msec
(t = 6.16; df = 48; p < 0.001)
but was also significant at 50 msec interstimulus intervals
(t = 3.72; df = 43; p < 0.001).
Although not significant as a group at 10 msec delays for the mPFC
stimulation intensities chosen for comparison, 11 of 24 neurons did
display a >30% suppression of Te3-evoked spikes at this delay. The
mPFC-induced suppression of the Te3-evoked response was stimulus
intensity-dependent (data not shown). Thus, low-intensity
stimulation of mPFC had little effect on Te3-evoked spike
probability, whereas higher intensities could suppress entirely the Te3
responses at ~10-50 msec delays. When tested, mPFC stimulation appeared to similarly suppress Te3-evoked responses in BLA interneurons (12 of 15 neurons, data not shown), although the time course of this
interaction varied [in some interneurons the Te3 response was
suppressed only at long (50-100 msec) mPFC-Te3 stimulus delays, whereas in other interneurons the Te3-evoked response was suppressed between ~10 and 50 msec intervals]. Te3 stimulation before mPFC stimulation did not have a consistent effect on BLA projection neurons,
sometimes appearing to attenuate mPFC inputs (n = 3; but <30% even at 1.0 mA stimulation intensity), but usually having no
effect (n = 6), or slightly augmenting mPFC inputs
(n = 6; <30%; data not shown).

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Figure 8.
mPFC suppresses Te3-evoked monosynaptic responses
in projection neurons, and this suppression is attenuated by DA
receptor activation. A, Te3 stimulation (0.7 mA, 0.3 msec duration) evokes a short-latency, presumably monosynaptic response
in a BLA projection neuron. B1, Overlaid traces of 20 Te3-evoked responses demonstrate a relatively narrow distribution of
latencies, consistent with a monosynaptic response. The stimulation
intensity can be altered to evoke an ~50% response probability.
B2, mPFC stimulation (0.6 mA, 0.3 msec duration) 20 msec
before Te3 stimulation decreases the probability of Te3-evoked
responses, demonstrated by fewer evoked spikes in these traces.
C1, After apomorphine administration (0.5 mg/kg, i.v.),
the stimulation intensity of Te3 is altered until an ~50% response
probability is regained (to 0.7 mA). C2, After
apomorphine administration, mPFC stimulation 20 msec before Te3
stimulation no longer produces the potent suppression of Te3-evoked
responses. D, The response probabilities for the sample
traces in B1-C2 are illustrated for this neuron.
E, Overall, in the neurons tested (n = 23 of 27) Te3-evoked responses are significantly attenuated by mPFC
stimulation, and this attenuation is removed by apomorphine
administration (n = 6/7). F, The
time course of the mPFC-Te3 interaction under control conditions
(F1; * indicates a p < 0.05 significant difference relative to baseline Te3-evoked response
probability) and after apomorphine administration
(F2).
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One potential source of this apparent interaction of inputs could be
outside of the BLA. For example, mPFC stimulation could inhibit
projection neurons of Te3, increasing their excitation threshold to
electrical stimulation. To test whether this could explain the
interaction observed here, the mPFC interaction with fiber
stimulation-evoked responses was examined. It was not feasible to
stimulate the external capsule, which carries Te3 fibers to the BLA,
because of the difficulties associated with discrete stimulation of a
narrow tract in vivo without stimulating surrounding areas.
Thus, the stria terminals, which carries glutamatergic fibers to
the BLA, was stimulated. At the coordinates selected, the stria
terminalis is wide enough to be targeted by a stimulating electrode.
Moreover, surrounding cellular areas do not project to the BLA, thus
minimizing any concern about current spread. Fiber stimulation at the
chosen coordinates evoked short-latency, presumably monosynaptic,
responses with latencies similar to Te3 stimulation (12.6 ± 1.74 msec, n = 14, and 10.7 ± 0.39 msec,
respectively). Stimulation of mPFC before stria terminalis stimulation
significantly attenuated the response to the stria terminalis inputs
with a time course similar to that observed for the inhibition of Te3 inputs (at 20 msec delay t = 4.85, df = 20, p < 0.001) (Fig. 9). At
the mPFC stimulation intensities used, 100% inhibition of stria terminalis-evoked responses was often seen.

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Figure 9.
mPFC stimulation suppresses fiber
bundle-evoked responses in BLA neurons. A, Stimulation
of mPFC 20 msec before stimulation of the stria terminalis fiber bundle
attenuates the probability of a stria terminalis-evoked monosynaptic
spike (*p < 0.05). These data demonstrate that the
mPFC is not likely attenuating Te3-evoked responses by an action at the
Te3 cell body, but instead is probably having an effect within the BLA.
B, The time course of mPFC-evoked suppression of stria
terminalis-evoked responses (* indicates that stria terminalis-evoked
response probability is significantly (p < 0.05) attenuated by previous mPFC stimulation, compared with baseline
stria terminalis-evoked response probability).
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Dopaminergic modulation of cortical inputs and
their interaction
In previous studies, we examined the effects of a single stimulus
intensity on projection neurons (Rosenkranz and Grace, 1999 ), showing
that DA receptor activation attenuates mPFC inputs and enhances Te3
inputs. In the present study, the analysis was expanded to include
multiple stimulation intensities and examination of the effects of DA
receptor activation on cortically evoked responses recorded from
projection neurons and interneurons. Systemic apomorphine administration (0.5-1.0 mg/kg, i.v.) enhanced Te3 inputs to BLA projection neurons [F = 5.76, df = 38, p < 0.05; significant at 0.1 mA below baseline
threshold stimulation intensity (denoted by "A"; t = 2.79) and T (t = 5.8); both df = 18 and
p 0.01] and interneurons (F = 20.3, df = 18, p < 0.001; significant at all stimulus
intensities compared; at A, t = 3.278, df = 16, p < 0.01; at T, t = 4.29, df = 21, p < 0.001; at 0.1 mA above threshold, t = 6.07, df = 20, p < 0.001; at
0.2 mA above threshold, t = 3.12, df = 20, p < 0.01; at 0.3 mA above threshold, t = 2.71, df = 19, p = 0.01), resulting in a
leftward shift in the input-output curve (Fig.
10). Our previous study demonstrated a
greater effect of apomorphine administration on Te3-evoked responses
(Rosenkranz and Grace, 1999 ), probably because of differences in doses
used. The effect appears more dramatic for interneurons, probably
because the projection neurons already fire at near maximal capacity in response to Te3 stimulation before apomorphine administration. The
normalized stimulus intensity that evokes a 50% response probability after Te3 stimulation (determined from regression analysis) is lowered
from 0.17 to 0.09 mA above threshold in projection neurons and from
0.22 to 0.067 mA above threshold in interneurons. In several cases,
after apomorphine administration, neurons responded to stimulus
intensities 0.3 mA lower than their previous threshold. The opposite
was seen with mPFC inputs. Thus, after apomorphine administration
(0.5-1.0 mg/kg, i.v.), mPFC inputs to BLA interneurons were attenuated
[F = 5.38, df = 19, p < 0.05;
significant at all but the last two intensities tested (0.3 and 0.4 mA
above threshold); at T, t = 2.89; at 0.1 mA above
threshold, t = 3.05; at 0.2 mA above threshold,
t = 2.75; for all, df = 21, p 0.01] as well as inputs to projection neurons (F = 9.55, df = 16, p < 0.01; significant at
intensities >0.2 mA above threshold: 0.2 mA above threshold,
t = 2.22, df = 23, p < 0.05; 0.3 mA above threshold, t = 2.85, df = 22, p < 0.01; 0.4 mA above threshold, t = 3.08, df = 15, p < 0.01), resulting in a
rightward shift of the input-output curve (Fig. 10). Thus, the
normalized stimulus intensity that evoked a 50% response probability
after mPFC stimulation dramatically increased by 496% (i.e., from
0.075 to 0.372 mA above threshold) in interneurons, and in projection
neurons it increased by >200% (i.e., from 0.289 mA above threshold to
beyond the stimulus intensities tested). Even at 0.4 mA above threshold
most projection neurons did not respond with a >25% response
probability after apomorphine administration. As in our previous study
(Rosenkranz and Grace, 1999 ), the effects of apomorphine on mPFC and
Te3 inputs were reversible after systemic administration of the DA
antagonist haloperidol (0.35-0.5 mg/kg, i.v.; three of four neurons,
data not shown). Moreover, the increase in the firing rate of putative interneurons accompanied by the decrease in the firing rate of projection neurons seen with DA receptor activation (Rosenkranz and
Grace, 1999 ) probably do not account for differences seen between mPFC
and Te3 inputs, because DA receptor activation exerted the same effect
on a given input regardless of whether the target was an interneuron or
projection neuron. Furthermore, there were no significant differences
between the lateral and basolateral nuclei with regard to the effects
of DA receptor activation (Table 2).

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Figure 10.
DA receptor activation has opposite
effects on mPFC and Te3 inputs to the BLA. In projection neurons,
apomorphine causes a downward shift in spike probability after mPFC
stimulation (A) while causing a decrease in
threshold for responses after Te3 stimulation
(B). For interneurons, apomorphine produces a
potent attenuation of mPFC-evoked firing (C)
while increasing the Te3-evoked spiking (D).
Thus, apomorphine attenuates prefrontal cortical inputs to projection
neurons and interneurons, whereas it augments Te3 inputs to projection
neurons and interneurons. In all graphs (*) indicates that the
comparison to control at the same stimulus intensity is significantly
different (p < 0.05).
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Apomorphine administration also attenuated the mPFC stimulation-induced
suppression of Te3-evoked responses (n = 6 of 7, F = 7.66, df = 14, p = 0.01) (Fig.
8). Apomorphine administration caused significant changes at mPFC-Te3
stimulus delays of 20 msec (preapomorphine, 30.8 ± 6.4% of
baseline; postapomorphine, 99.0 ± 17% of baseline,
t = 4.28, df = 14, p < 0.001; at
50 msec delay, preapomorphine, 61.1 ± 9.7%, postapomorphine,
106.4 ± 21% of baseline, t = 2.1, df = 14, p < 0.05). Additionally, after apomorphine
administration, none of the mPFC-Te3 stimulus delays were
significantly different from postapomorphine baseline value. Thus,
apomorphine effectively removed the mPFC suppression of Te3 inputs.
Changes in paired-pulse facilitation at short ISIs may reflect
presynaptic alterations of neurotransmitter release, and at longer
ISIs, changes in paired-pulse facilitation may also reflect alterations
in local circuitry. After apomorphine administration, some changes
(>30%) in paired-pulse facilitation were seen compared with baseline
facilitation patterns. mPFC inputs to interneurons consistently
displayed changes in paired-pulse facilitation at most ISIs tested
(n = 4; 75% displayed increased PPF, 25% displayed decreased PPF) (Fig. 11). There
were never changes observed in paired-pulse facilitation of Te3 inputs
to projection neurons after apomorphine administration
(n = 5) (Fig. 11). Te3 inputs to interneurons that
displayed paired-pulse depression were not altered after apomorphine
(n = 3), whereas those that displayed paired-pulse
facilitation were altered after apomorphine administration (n = 3) (Fig. 10). However, alterations in paired-pulse
facilitation at ISIs of 10 msec were very rare (one of six neurons),
implying that changes in paired-pulse facilitation at Te3 inputs to
interneurons are attributable to alterations in local circuitry and may
not be caused by alterations in neurotransmitter release probability at
the Te3 terminal. Changes in paired-pulse facilitation of Te3-evoked responses in BLA interneurons but not projection neurons supports this
and also indicate that Te3 interneurons that receive a monosynaptic input from Te3 do not innervate the BLA projection neurons that also
receive a monosynaptic input from Te3. Paired-pulse facilitation of
mPFC inputs to projection neurons could not be studied after apomorphine administration because of the potent suppressive effects produced by apomorphine on these inputs.

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Figure 11.
DA receptor activation alters paired-pulse
facilitation of selected BLA afferents. A, DA receptor
activation had negligible effects on paired-pulse facilitation or
depression of Te3 inputs to BLA projection neurons. B,
Paired-pulse facilitation, but not depression, of Te3 inputs to BLA
interneurons was altered by DA receptor activation. C,
Paired-pulse facilitation of mPFC inputs to BLA interneurons (and
depression; data not shown) was altered by DA receptor activation. A
change of >30% is considered significant (*) when comparing control
and postapomorphine administration values of paired-pulse facilitation
at a given ISI.
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Whereas alterations in paired-pulse facilitation of mPFC inputs after
apomorphine administration may indicate that a portion of the effects
of DA receptor activation on mPFC inputs is presynaptic, it is unclear
whether these effects may be confined to presynaptic terminals within
the BLA. To exclude the potential effects of apomorphine on somata of
prefrontal cortical neurons that project to the BLA, fibers lateral to
the prefrontal cortical areas of interest were stimulated, and the
effects of DA receptor activation were examined. Stimulation of the
forceps minor of the corpus callosum, which includes axons of the
prefrontal cortex that project to the BLA, evoked short-latency spikes
from BLA neurons (latency, 17.9 ± 4.4 msec) (n = 8). Administration of apomorphine (0.5-1.0 mg/kg, i.v.) resulted in a
suppression of fiber-evoked responses (preapomorphine, 53 ± 18%;
postapomorphine, 16 ± 18%; t = 4.98 paired
t test, df = 5, p < 0.001).
Additionally, paired-pulse facilitation was examined in four of these
neurons. In each case, administration of apomorphine resulted in a
>30% change in paired-pulse facilitation (data not shown), indicating
that the effects of apomorphine on mPFC inputs is probably localized to
the BLA.
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DISCUSSION |
The studies described in this paper present data that provide a
possible physiological substrate for mPFC regulation of
amygdala-mediated behaviors and the means by which sensory-driven
inputs over-ride mPFC regulation after DA receptor activation. This
analysis is based on several assumptions. Similar to our previous study
(Rosenkranz and Grace, 1999 ), we have operationally defined BLA
neuronal populations as interneurons and projection neurons based on
firing rate, action potential duration, and antidromic activation.
Intracellular studies indicate that morphologically identified
interneurons do display shorter duration action potentials and tend to
display higher levels of spontaneous activity (Washburn and Moises,
1992 ; Rainnie et al., 1993 ; Gaudreau and Pare, 1996 ; Pare and Gaudreau,
1996 ). Moreover, we have been able to antidromically activate
only the neurons identified a priori as projection neurons.
Thus, the basic assumptions of our categorization are consistent with
these observations. In addition, criteria were established that define
evoked responses as monosynaptic, polysynaptic, or antidromic. Although
the criteria are not absolute, these strict criteria would most
probably result in exclusion of some monosynaptic responses instead of
inclusion of polysynaptic responses in the data.
Prefrontal cortical regulation of the BLA
Our studies provide evidence that BLA neurons respond differently
to mPFC and sensory association cortical inputs. Te3 inputs are able to
drive projection neuron firing with greater efficacy and potency than
mPFC inputs, possibly because of differences in the proximal-distal
location of inputs. However, previous studies demonstrate that both
inputs tend to primarily target spines, and not proximal dendrites,
although some inputs are seen to innervate thin dendrites (Brinley-Reed
et al., 1995 ; Farb and LeDoux, 1999 ). A more likely explanation is that
mPFC stimulation recruits interneurons that inhibit the same BLA
projection neurons that receive mPFC inputs, thus evoking inhibition in
a feedforward manner. The shorter latency of mPFC-evoked responses in
BLA interneurons is consistent with feedforward inhibition. This
shorter latency can be caused by several factors, including differences
in the conduction velocity of mPFC fibers, interneuronal tendency to
remain at a membrane potential closer to spike threshold (Lang and
Pare, 1998 ), the smaller somatodendritic size of interneurons and their
tendency to exhibit higher input resistance, and the likelihood that
the glutamatergic inputs may be located more proximal to the somata of
interneurons than projection neurons that have more extensive dendritic
fields. Additionally, preliminary studies indicate that mPFC
stimulation can evoke long-duration hyperpolarizations that truncate
EPSPs or are often evoked in the absence of time-locked EPSPs
(Rosenkranz and Grace, 2000 ). Furthermore, spontaneously spiking
projection neurons of the BLA will often display a time-locked suppression of firing when the mPFC is stimulated at spike-subthreshold intensities, and a decrease in basal firing rate during periods of mPFC
stimulation. These data imply that mPFC stimulation potently activates
interneurons that can inhibit BLA output. Anatomical studies indicate
that few mPFC inputs innervate parvalbumin-positive interneurons of the
BLA (Smith et al., 2000 ). If the BLA is analogous to hippocampus and
cortex, parvalbumin-positive interneurons may not be preferentially
involved in feedforward inhibition (Freund and Buzsaki, 1996 ; Somogyi
et al., 1998 ; Smith et al., 1998 ), and it may therefore be expected
that most of the mPFC inputs target a separate class of interneurons.
One interpretation of these data are that mPFC inputs to the BLA may
function to keep affective behaviors in check. Thus, heightened PFC
activity is associated with inhibition of a behavioral response in some
conditions (Watanabe, 1986 ; Iwabuchi and Kubota, 1998 ; Sawaguchi and
Yamane, 1999 ). The potent effect that mPFC inputs appear to
have on BLA interneurons may temporarily reduce the excitability of BLA
projection neurons and thereby suppress BLA-mediated behaviors or
select from sets of competing BLA outputs.
Infralimbic and prelimbic stimulation produced similar results. Both
inputs displayed similar latencies, input-output curves, and
importantly, both inputs similarly suppressed Te3-evoked responses recorded from the lateral nucleus. The infralimbic cortex projects directly to the lateral nucleus. The prelimbic cortex projects primarily to the basolateral nucleus, a nucleus that receives sparse
Te3 inputs. It is thus probable that prelimbic stimulation suppressed
Te3-evoked responses in the lateral nucleus via axons from inhibitory
interneurons of the basolateral nucleus that project into the lateral
nucleus (Sugita et al., 1992 , 1993 ; Pitkanen et al., 1997 ; Savander et
al., 1997 ).
Sensory inputs to the BLA
Many BLA-dependent behaviors are driven by discrete sensory
stimuli that possess affective salience (Selden et al., 1991 ; Uwano et
al., 1995 ; Davis, 1997 ; Muller et al., 1997 ). There is evidence
for long-term changes of sensory-cortical neuronal activity (Edeline et
al., 1993 ; Poremba et al., 1998 ) and between sensory inputs and BLA
neurons, concordant with affective conditioning (McKernan and
Shinnick-Gallagher, 1997 ; Rogan et al., 1997 ; Huang and Kandel,
1998 ; Pare and Collins, 2000 ). Although stimulation of Te3 evokes
responses in interneurons and projection neurons, it does not evoke
responses in interneurons with as great an efficacy as does mPFC
stimulation. This may, in part, account for the higher efficacy of
Te3-evoked responses in BLA projection neurons compared with
mPFC-evoked responses; i.e., the relative lack of feedforward inhibition of inputs. Consistent with this are the overlapping latencies of Te3-evoked responses in BLA interneurons and projection neurons. Interestingly, in many projection neurons, stimulation of Te3
at intensities that evoked a presumptive monosynaptic action potential
resulted in a time-locked inhibition of firing after the evoked spike
suggestive of feedback inhibition. The differences in timing of mPFC-
and Te3-evoked activation of BLA interneurons relative to
afferent-evoked excitation of projection neurons may result in a
mechanism by which Te3 inputs excite some BLA output neurons while
suppressing competing outputs, resulting in a sharpening of the
response to Te3. In contrast, mPFC inputs appear to mediate a more
general suppression of BLA afferent drive.
Interaction of sensory cortical and mPFC excitatory inputs to
the BLA
mPFC stimulation before stimulation of Te3 reduces the BLA
neuronal activity that is driven by Te3 inputs. However, stimulation of
the same sensory cortical area before mPFC stimulation does not appear
to consistently suppress mPFC-driven responses. Thus, the circuitry of
the BLA is organized in a manner that allows sensory and mPFC inputs to
exert opposite effects on BLA output primarily via mPFC-induced
activation of BLA interneurons that suppress sensory cortical
throughput. This may provide a mechanism by which mPFC regulates
BLA-mediated affective responses to sensory stimuli.
Dopaminergic modulation of BLA afferents
Systemic administration of apomorphine more closely mimics global
elevations of DA, such as those that occur during stress. However,
several pieces of data indicate that the effects of DA observed in this
study occur within the BLA: (1) previous studies have demonstrated that
DA receptors exert potent electrophysiological actions within the BLA
(Ben-Ari and Kelly, 1976 ; Rosenkranz and Grace, 1999 ); and (2) DA
receptor activation alters paired-pulse facilitation even when fiber
bundles and not cell bodies are stimulated. Nevertheless, additional
actions within other areas cannot be ruled out.
DA receptor activation in the BLA of behaving animals is necessary for,
and may potentiate, the production of amygdala-dependent affective
behaviors (Borowski and Kokkinidis, 1996 ; Lamont and Kokkinidis,
1998 ; Guarraci et al., 1999 ; Nader and LeDoux, 1999 ). Thus, DA is in a
key position to switch the animal from a state of suppression mediated
by mPFC inputs to a state of sensory-driven affective behavior induced
by sensory cortical inputs. A likely mechanism by which DA receptor
activation alters the balance of inputs is via a combination of two
actions: (1) a presynaptic effect that suppresses mPFC inputs, as
supported by our paired-pulse facilitation data, and as occurs in other
brain regions (Maura et al., 1988 ; Cepeda et al., 1993 ; O'Donnell and
Grace, 1994 ; Hsu et al., 1995 ; Flores-Hernandez et al., 1997 ; Behr et
al., 2000 ), thereby potently reducing mPFC-driven excitation of BLA inhibitory interneurons; and (2) a postsynaptic effect on membrane properties and synaptic sites (as occurs in other brain regions, i.e.,
Geijo-Barrientos and Pastore, 1995 ; Surmeier et al., 1995 ; Yang and
Seamans, 1996 ; Zhou and Hablitz, 1999 ; Gorelova and Yang, 2000 ),
resulting in an apparent potentiation of other glutamatergic inputs,
such as the Te3 inputs to the BLA. Additionally, it is possible that
the inhibitory interneurons that receive DAergic input (Brinley-Reed
and McDonald, 1999 ) and whose activity is enhanced by DA receptor
activation, may be involved in the enhancement of signal-to-noise
ratios, inhibiting nonspecific BLA output that may be driven by
spurious inputs that are incidentally enhanced by a postsynaptic
mechanism. The enhancement of BLA inhibitory interneuronal activity by
DA receptor activation will effectively allow only the more potent
inputs to drive BLA output.
Functional consequences
Situations exist in which DA levels in the BLA are enhanced, such
as in the presence of affective sensory stimuli (Coco et al., 1992 ;
Hori et al., 1993 ; Harmer and Phillips, 1999b ; Inglis and
Moghaddam, 1999 ). Under normal conditions, increases of DA levels in
the BLA may lead to heightened sensory-driven BLA neuronal responses at
sensory input-BLA neuron synapses that have been potentiated by
previous experience, and thus facilitating the appropriate affective
response (Fig. 12). However, there are
circumstances that could alter this delicate balance between these
systems. For example, with abnormally heightened DA levels such as
occurs after cocaine or amphetamine administration (Garris and
Wightman, 1995 ; Harmer et al., 1997 ; Hurd et al., 1997 ), or when PFC
inputs to the BLA are otherwise weakened as proposed to occur in cases of hypofrontality seen in schizophrenia (Andreasen et al., 1997 ; Dolan
et al., 1999 ; Grace, 2000 ), an impairment of PFC-induced inhibitory
regulation of BLA neurons will result. As a consequence, the loss of
PFC suppression would result in augmentation of BLA-dependent affective
behaviors (Jaskiw and Weinberger, 1992 ; Morgan and LeDoux, 1995 ;
Willick and Kokkinidis, 1995 ; Jinks and McGregor, 1997 ; Schneider et
al., 1998 ; Earnst and Kring, 1999 ; Harmer and Phillips 1999a ). Under
these conditions, normally subthreshold, nonpotentiated sensory inputs
may be able to override the weakened PFC regulation to drive BLA
output, leading to inappropriate affective behaviors.

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Figure 12.
Schematic of the mPFC regulation of BLA output
and its modulation by DA. In this figure, neurons of the mPFC and Te3
that project to the BLA are represented by triangles,
and their level of activity is represented by firing rate histograms
within the triangles. The dominant input is represented by a
bolder line connecting the cortical area with the BLA.
BLA projection neuron (triangle) activity is represented
by hypothetical voltage traces within the triangle. A,
Enhanced mPFC activity (1) will decrease BLA
output (hyperpolarization; 2) caused by activation of a
BLA inhibitory interneuron (3). B,
Enhanced sensory cortical activity (1) will lead
to action potential firing (2) in BLA projection
neurons. C, mPFC inputs (1) that
occur concomitant with sensory cortical inputs
(2) will dampen the spike firing that is induced
by sensory cortical inputs under basal conditions (EPSP without action
potential; 3). D, If the sensory stimulus
has affective value, DA is released in the BLA. In the presence of DA
(1), the BLA output will be enhanced (numerous
action potentials; 4) by a combination of
attenuated mPFC inputs (2) to interneurons, and
augmented sensory cortical inputs (3).
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FOOTNOTES |
Received Dec. 6, 2000; revised March 16, 2001; accepted March 20, 2001.
This work was supported by National Institutes of Health Grants
MH57440, MH45156 (A.A.G.), and MH 12533 (J.A.R.). We thank |