The Journal of Neuroscience, July 2, 2003, 23(13):5740-5749
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Metabolic Mapping of Mouse Brain Activity after Extinction of a Conditioned Emotional Response
Douglas Barrett,
Jason Shumake,
Dirk Jones, and
F. Gonzalez-Lima
Institute for Neuroscience and Department of Psychology, University of
Texas at Austin, Austin, Texas 78712
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Abstract
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Metabolic mapping with fluorodeoxyglucose (FDG), a radiolabeled glucose
analog, was used to assess regional activity changes in the mouse brain that
result from extinction of a conditioned emotional response (CER). In the
extinction group, Pavlovian tonefoot shock conditioning, followed by
repeated tone-alone presentations, resulted in the reduction of the CER
(freezing behavior). A second group underwent CER acquisition alone
(nonextinction group), and a third group showed no CER after pseudorandom
training. Then mice were injected with FDG, and tone-evoked brain activity was
mapped. In the auditory system, increased activity resulted from the
associative effects of acquisition training. Effects common to extinction and
nonextinction groups, presumably reflecting the tonefoot shock
association independently of CER expression, were found in the medial
geniculate, hippocampus, and subiculum. In the extinction group, a major
finding was the elevated activity in prefrontal cortex regions. In addition,
brainbehavior correlations between FDG uptake and freezing behavior
confirmed that subjects with higher prefrontal activity were more successful
at inhibiting the CER. Interregional activity correlations showed extensive
functional coupling across large-scale networks in the extinction group. The
increased activity of the prefrontal cortex and its negative interactions with
other regions within the extinction group suggest a functional network
inhibiting the CER composed of prefrontal cortex, medial thalamus, auditory,
and hippocampal regions. This is the first time that such a functional network
resulting from Pavlovian extinction has been demonstrated, and it supports
Pavlov's original hypothesis of extinction as the formation of cortical
inhibitory circuits, rather than unlearning or reversal of the acquisition
process.
Key words: metabolic mapping; extinction; prefrontal cortex; Pavlovian conditioning; fluorodeoxyglucose; learning and memory
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Introduction
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The behavioral and neural literature on extinction has been reviewed
recently (Myers and Davis,
2002
). Pavlov
(1927
) explained extinction as
the formation of inhibitory circuits that reduce the conditioned response (CR)
by counteracting the previously acquired excitatory associations between the
conditioned stimulus (CS) and the unconditioned stimulus (US). After observing
the phenomenon of spontaneous recovery, in which a previously extinguished CR
reoccurs after an interval of time, Pavlov concluded that the original
CSUS association is not destroyed and that extinction entailed new
learning that inhibits the CR. Although behavioral phenomena such as
spontaneous recovery, rapid reacquisition, renewal, and reinstatement
(Rescorla, 1997
;
Falls, 1998
) suggest that
CSUS associative effects are not completely erased after extinction,
other conceptualizations of extinction have described it in terms of the
weakening of the CSUS association
(Rescorla and Wagner, 1972
) or
the reversal of the acquisition process
(Richards et al., 1984
). The
present study was meant to determine, in part, which of these viewpoints is
closer to the neural effects of extinction.
As a natural defensive response when a predator is detected, a rodent will
stop moving or "freeze" to decrease the likelihood that a predator
will notice it (Fanselow,
1989
). This freezing behavior can be conditioned as a form of
conditioned emotional response (CER) in anticipation of a predatory strike or
foot shock. Morgan et al.
(1993
) and Quirk et al.
(2000
) showed that rats with
lesions of the ventromedial prefrontal cortex have across-day retention
deficits during extinction of conditioned freezing. However, Gewirtz et al.
(1997
) found that lesions of
the rat ventromedial prefrontal cortex failed to affect CER acquisition and
extinction across days. Although it was reported long ago that amygdala
lesions disrupt CER acquisition (for review, see
Goddard, 1964
), recent findings
suggest that the retention of CER extinction is linked to prefrontal cortex
(Milad and Quirk, 2002
).
To explore this topic in intact animals, brain changes caused by a tone
after extinction of a tone-conditioned CER were assessed with uptake of
fluorodeoxyglucose (FDG), a radiolabeled glucose analog. Neural activity can
be mapped with FDG because brain cells use glucose and its analogs for energy
metabolism (Sokoloff, 1992
).
Different brain metabolic effects of the same tone in groups of control and
conditioned mice exposed to the same CS and US served to identify which
regional activity changes were caused by the tone after CER extinction. We
inferred which neural mechanisms might be unique to Pavlovian extinction by
comparing extinction effects with other FDG studies of CR inhibition, such as
conditioned inhibition (McIntosh and Gonzalez-Lima,
1993
,
1994
), instrumental response
extinction (Nair et al., 1999,
2001a
,b
),
blocking (Jones and Gonzalez-Lima,
2001a
), and differential inhibition
(Jones and Gonzalez-Lima,
2001b
).
We hypothesized that the largest increase in metabolic activity evoked by
the tone after extinction would be in the prefrontal cortex. We also hoped to
find changes in other regions, particularly in auditory and limbic networks,
resulting from the savings of CSUS associative effects. The results
supported this hypothesis and contradicted the simpler notions of extinction
as unlearning or reversal of acquisition.
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Materials and Methods
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Subjects were 48 male CBA/J mice, 5 weeks of age when delivered from the
supplier (Jackson Laboratory, Bar Harbor, ME). An initial pilot study with 16
mice was conducted to determine the parameters for a training paradigm that
would result in the extinction of freezing behavior.
For the subsequent FDG study, 32 naive subjects were divided into three
groups, with n = 11 in the extinction group, n = 11 in the
nonextinction group, and n = 10 in the pseudorandom group. Subjects
were housed under standard laboratory conditions, two to a cage, with a 12 hr
light/dark cycle and ad libitum access to food and water. Subjects
were handled every day for 7 d before the start of training. All animal
experimentation was approved by the University of Texas Institutional Animal
Care and Use Committee and complied with all applicable federal and NIH
guidelines.
Apparatus
Phase I (the acquisition phase) of the experiment occurred in context A.
The training apparatus for the acquisition phase consisted of a conditioning
chamber (22 x 14 x 22 cm) (MED Associates, St. Albans, VT)
enclosed in a sound-attenuated box illuminated by a red light. Two sides of
the chamber were aluminum, with clear Plexiglas for the front, back, and top.
Tones were generated by two Wavetek Sweep/Modulation generators (Wavetek, San
Diego, CA) and presented through speakers mounted in the top of each chamber.
The acoustic CS was a frequency-modulated tone of 12 kHz, two sweeps
per second, 15 sec in duration, with an intensity of 65 dB, measured at the
center of the floor of the chamber. The US was a foot shock of 0.5 mA, 0.75
sec in duration, delivered through metal bars separated by 0.6 cm forming the
floor of the chamber, which was wired to a Lafayette Instruments Master
Shocker (Lafayette Instrument Co., Lafayette, IN). Presentations of stimuli
were controlled by computer programs, created using the MED-PC for Windows
programming language (MED Associates). Between sessions the operant chambers
were washed with soap.
Phase II (the extinction training) and the FDG uptake period of the
experiment used a different context (context B): a clear plastic cage (19
x 25 x 15 cm), with a speaker mounted in the lid, placed in an
illuminated testing room. Between sessions, each extinction box was washed and
swabbed with iodine to provide a distinctive olfactory environment.
Behavioral training
Conditioned behavior. The CER that was measured was freezing
behavior, operationally defined as the mouse having all four feet on the
floor, with minimal head movements and shallow, rapid breathing for at least 3
sec. The CS was conditioned to elicit a freezing response through pairing with
the US. Each 15 sec tone CS was divided into five 3 sec bins, with the
subject's behavior scored for each of the five bins. Behavior was recorded for
the 15 sec before the onset of the tone, as well as the subsequent 15 sec
during presentation of the tone CS, to provide a comparison between activity
with and without the CS. An experimenter unaware of the subject's group did
the behavioral recordings.
Experimental design. Before training, subjects were randomly
assigned to one of three groups: extinction, nonextinction, and pseudorandom
(Table 1). The first two groups
underwent tone-shock pairing, but one group was trained to extinguish the CER
and the other was not. The pseudorandom group underwent no repeated tone-shock
pairings and developed no CER. This experimental design permitted dissociating
among (1) the brain effects of CER extinction (extinction group vs
nonextinction and pseudorandom), (2) the effects of CER expression
(nonextinction group vs extinction and pseudorandom), and (3) the effects of
tone-shock pairing (extinction and nonextinction groups vs pseudorandom).
Phase I. Days 12 of training consisted of habituation to
context A for all subjects. During this period, each subject explored the
chamber for 1 hr, with no tones or shocks. Days 34 of training were
again conducted in context A and consisted of acquisition training for two
groups (extinction and nonextinction groups) and pseudorandom tone and shock
presentations for the pseudorandom group. Daily acquisition training consisted
of four tone-shock presentations over 15 min, with intertrial intervals
ranging from 2, 2.5, 3, 3.5, to 4 min, randomly shuffled by the MED-PC
program. During each trial of acquisition training, the 15 sec tone and 0.75
sec foot shock coterminated. Daily pseudorandom training consisted of
alternating presentations of four tones and four shocks over 15 min, with
intervals ranging from 1, 1.5, to 2 min, randomly shuffled by the MED-PC
program. The pseudorandom training also included exactly one paired
presentation of CSUS over the 2 d to prevent the tone from being
conditioned as a safety signal.
Phase II. Because our goal was to examine the neural effects
evoked by the tone rather than by context A, all subsequent steps (probe
trials, extinction training, and FDG uptake) were conducted in context B to
minimize the effects of excitatory conditioning to context A. At the start of
day 5, each subject was placed in context B for 15 min and given probe trials
consisting of four presentations of the CS. Behavior was scored as described
above. Days 56 of training involved 1 hr sessions in context B and
consisted of tone alone presentations in the extinction group and no tones in
the nonextinction (acquisition alone) group. For the pseudorandom group, mice
received either tone alone or no tone. No behavioral or brain differences were
found in the pseudorandom subgroups, so these mice were all treated as one
group for the statistical analysis. Tone alone consisted of 60 presentations
of the 15 sec tone CS in 1 hr, with 45 sec between each CS presentation. No
tone consisted of 1 hr in context B with no presentations of CS or US.
FDG test. Day 7 consisted of probe trials, FDG administration, and
exposure to the CS. Probe trials were conducted as described above and
compared with the day 5 probe trial results to verify that the CER was still
present in the nonextinction group and extinguished in the extinction group.
This was followed by injection of FDG. Subjects received an intraperitoneal
injection of 18 µCi/100 gm body weight of 14C(U)-FDG (specific
activity, 300 mCi/mmol; American Radiolabeled Chemicals) in 0.1 ml of sterile
saline. Subjects weighed a mean of 25 gm at the time of FDG administration.
Subjects were immediately placed in context B (the extinction context) and
exposed to the tone in a 5 sec on, 1 sec off cycle for 45 min, a period chosen
from our pilot study to preserve the CER and optimize FDG uptake to the tone.
Because most of the FDG uptake is trapped in the first 10 min after injection,
most of the FDG label reflects the subject's initial response to the CS,
consisting of freezing in the nonextinction group and no behavioral
differences in the extinction and pseudorandom groups. Then subjects were
removed from the room and quickly decapitated with a guillotine. Each brain
was removed rapidly and frozen in 40°C isopentane for
3
min.
FDG autoradiography
The standard FDG autoradiographic procedure (for review, see
Gonzalez-Lima, 1992
) was chosen
for metabolic mapping because it has several advantages over 2-deoxy-glucose
(2-DG) and because FDG has been used in all of our previous conditioning
studies. Briefly, FDG is structurally more similar to glucose than 2-DG and is
thus a better glucose analog; the bloodbrain barrier is significantly
more permeable to FDG than to 2-DG; FDG phosphorylation in the brain is
significantly greater than that of 2-DG, and thus FDG is trapped more readily
by the brain than 2-DG. Because all six carbons of FDG are radiolabeled, it
also has a greater specific activity as a tracer than 2-DG with one
radiolabeled carbon.
Sections of the brain were cut at 40 µm at 20°C on a
Reichert-Jung 2800 Frigocut E cryostat. Sections used for FDG autoradiography
were picked up on slides and immediately dried on a hot plate at 60°C.
Slides were affixed to poster board with double-sided tape, along with plastic
standards of known 14C concentration (Amersham Biosciences,
Arlington Heights, IL) that were used to calibrate the imaging system and
report 14C concentrations. In a darkroom, the slides were closely
apposed to Kodak EB-1 film and tightly packed inside Kodak X-O-Matic cassettes
(Eastman Kodak, Rochester, NY) for 2 weeks. Films were developed in Kodak D-19
for 2 min and rinsed in stop bath for 1 min and fixer for 8 min. After
development, films were hung to dry, labeled, and stored in protective
covers.
Image analysis
FDG uptake was quantified using JAVA image analysis software (version 1.4,
Jandel Scientific, San Rafael, CA). The film was placed on a light box and
artifact-free images were captured through a black-and-white video camera
(Javelin model JE2362, Meyers Instruments, Houston, TX). Images were digitized
and corrected for film background and optical distortions from the camera
through subtraction of the background. The absolute gray levels of the
14C standards on each film were used to create a calibration curve
unique to each individual film, which allowed all optical density measurements
taken from brain regions to be automatically expressed in terms of isotope
incorporation per gram of brain tissue (nanocuries per gram). The mouse brain
atlases by Paxinos and Franklin
(2001
) and Slotnick and
Leonard (1975
) were used to
locate each region that was measured. FDG incorporation was measured from 17
auditory and 64 extra-auditory brain regions (see
Fig. 3).

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Figure 3. Coronal brain diagrams of locations of regions of interest by bregma level.
The significant mean activity differences (p < 0.01) observed in
each region are indicated in boldface. Anteriorposterior bregma
coordinates are indicated below each diagram. [Section diagrams were
reproduced with permission from Paxinos and Franklin
(2001 )]. MFC, Medial frontal
cortex [Cg1 in Paxinos and Franklin
(2001 )]; PrL, prelimbic
frontal cortex; MO, medial orbital cortex; VO, ventral orbital cortex; DFC,
dorsal frontal cortex; LFC, lateral frontal cortex; AI, agranular insular
cortex; LO, lateral orbital cortex; IL, infralimbic cortex; Cg2, anterior
cingulate; LS, lateral septal nucleus; MS, medial septal nucleus; AcbSh,
accumbens shell; AcbC, accumbens core; VDB, ventral diagonal band nucleus;
rCPU, caudateputamen rostral; GI, granular insular cortex; MPO, medial
preoptic area; LPO, lateral preoptic area; HDB, horizontal limb of diagonal
band posterior; S1, parietal cortex anterior; CPU, caudateputamen
middle; CgP, posterior cingulate; CL, central lateral thalamic nucleus; MD,
medial dorsal thalamic nucleus; MDL, medial dorsal lateral thalamic nucleus;
CM, centromedial thalamic nucleus; VM, ventromedial thalamic nucleus; VMH,
ventromedial hypothalamus; M12, parietal cortex medial; S1BF, parietal
cortex lateral; cCPU, caudateputamen caudal; PRh, perirhinal cortex
anterior; VPL, ventral posterior lateral thalamic nucleus; BLA, basolateral
amygdala; CeA, central amygdala; MeA, medial amygdala; rCA1, anterior
hippocampus CA1; rCA3, anterior hippocampus CA3; DG, dentate gyrus; Mol,
hippocampal molecular layers; APTD, anterior pretectal area dorsal; APTV,
anterior pretectal area ventral; V1, visual cortex; LGN, lateral geniculate
nucleus; Ect, ectorhinal cortex posterior; LEnt, lateral entorhinal cortex;
DEnt, deep entorhinal cortex; RSpl, retrosplenial cortex; Sub, subiculum;
Psub, presubiculum; MGD, medial geniculate nucleus dorsal; MGM, medial
geniculate nucleus medial; MGV, medial geniculate nucleus ventral; VTA,
ventral tegmental area; MM, mammillary bodies; cCA1, posterior hippocampus
CA1; cCA2, posterior hippocampus CA2; cCA3, posterior hippocampus CA3; TE1,
auditory cortex dorsal; TE3, auditory cortex ventral; DLL, lateral lemniscus
nucleus dorsal; ILL, lateral lemniscus nucleus intermediate; VLL, lateral
lemniscus nucleus ventral; ICD, inferior colliculus nucleus dorsal; ICE,
inferior colliculus nucleus external; ICC, inferior colliculus nucleus,
central; VCA, ventral cochlear nucleus anterior; LSO, lateral superior olivary
nucleus; MSO, medial superior olivary nucleus; TBN, trapezoid body nucleus;
DCN, dorsal cochlear nucleus; VCP, ventral cochlear nucleus posterior; CBV,
cerebellum vermis; CBLH, cerebellum lateral hemisphere; ECu, external cuneate
nucleus; Cu, cuneate nucleus; SP5I, spinal trigeminal nucleus; Ret, medullary
reticular formation; Sol, solitary tract nucleus; 12N, hypoglossal
nucleus.
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Three adjacent sections at 80 µm intervals were measured for each region
of interest (ROI), with four readings taken in each section. The size of the
measurement window was adjusted to allow four nonoverlapping measurements
covering the entire region. In addition to measuring activity in the regions
of interest, readings from white matter (the optic tract) were taken to serve
as covariates.
Statistical analyses
Behavior. Changes in behavior across training days and differences
in behavior across groups were evaluated on the basis of probe trial data from
days 5 and 7. Evidence of extinction was evaluated by comparing the behavior
of the extinction group between days 5 and 7 (between which the subjects
undergo extinction training) using an ANOVA with tests for simple effects
where appropriate; differences between groups were analyzed with ANOVA as
well.
Mean brain activity. Group means of FDG uptake were analyzed as in
our recent study of blocking of tone conditioning
(Jones and Gonzalez-Lima,
2001a
). To reduce variability resulting from individual
differences in FDG uptake unrelated to the experimental paradigm, white matter
readings were used as covariates in an analysis of covariance (ANCOVA) of
brain activity measurements. Because there was no statistically significant
difference in the white matter readings between groups, the ANCOVA can use the
covariate to compensate for small variations in isotope incorporation across
individuals. The significance level was set at 99% confidence (p <
0.01). Mean activity readings were then expressed in nanocuries per gram of
tissue for each ROI, adjusted by the covariate white matter readings, with 99%
confidence intervals for each group. If the measurements for two groups were
both outside the other's 99% confidence interval, the effect was considered
significant. Each ROI was treated as independent of the others, and one simply
accepted the possibility that 1 of 100 comparisons (for p = 0.01) may
have been type 1 errors. This is a standard procedure in neuroimaging studies
that cannot apply any correction for multiple comparisons because of the large
number of ROIs being sampled (Nobrega,
1992
). Optical density measurements of the cochlear nuclei in one
pseudorandom group subject were not available, and a linear interpolation was
used to create two data points for the ventral and dorsal cochlear nuclei in
this control subject. This did not change any pattern of significance in the
pseudorandom group correlations among the cochlear nuclei but served to
provide a uniform comparison for the other two groups.
Interregional correlations. Because extinction of conditioned
behavior is manifested as neural changes in interactivity, the functional
relationships among the regional brain activity data were analyzed in terms of
pair-wise correlations within each group, as in our FDG study of extinction of
instrumental behavior (Nair and
Gonzalez-Lima, 1999
). For the interregional correlation analysis,
Pearson productmoment correlations were computed, including pair-wise
comparisons of each region that showed a mean difference between groups as
revealed by the ANCOVA means analysis. Optical density measurements of the
optic tract were again used as a covariate to control for individual
differences in film processing. To ensure the reliability of correlations, a
jackknife procedure was performed in which each individual subject was dropped
from a group, and then correlations were calculated again without that
subject's data. This procedure was iterated until each subject had been
sequentially dropped and the analysis performed again. Correlations were
considered to be "reliably" significant only if they remained
significantly (p < 0.01) different from zero throughout all
iterations. This is a conservative method sensitive to outliers that avoids
inflated type 1 errors caused by the large number of interregional
correlations computed relative to the sample sizes.
Brainbehavior correlations. Correlations between brain
activity and behavioral measurements of freezing during probe trials were also
calculated for regions showing major extinction effects, using an extinction
retention index defined as the freezing behavior ratio between
post-acquisition and post-extinction probe trials (phase I freezing/phase II
freezing). A high index reflects a greater reduction of freezing behavior and
therefore more behavioral extinction. This value was calculated for both the
extinction and nonextinction groups and correlated with the brain activity of
these two groups. (The pseudorandom group was not included because they did
not develop a CER.) Positive brainbehavior correlations reflect a
linear relationship between increased regional brain activity and reduction of
the CER.
 |
Results
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Behavioral results
The CER demonstrated by the CBA/J mice was quite resilient; two 1 hr
extinction sessions were required to extinguish the freezing behavior.
Figure 1 shows freezing scores
during tone and no tone presentations for the first and second extinction
sessions, which demonstrate that a specific CER to the tone is present during
the 45 min period selected for the FDG session.

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Figure 1. Freezing behavior during first (A) and second (B) day of
extinction sessions. The CER was scored during tone-alone presentations and
averaged across 8 min bins. White bars represent counts of freezing during
tone CS; black bars represent counts of freezing with no tone CS, as measured
before tone onset.
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Average freezing counts during tone-alone probe trials after both phase I
acquisition and phase II extinction training are summarized in
Figure 2. Analysis of the probe
trial behavioral data with ANOVA confirmed the significant increases in
freezing behavior in the extinction (F(1,19) = 41.94;
p < 0.01) and nonextinction (F(1,19) = 40.41;
p < 0.01) groups after phase I associative tone-shock training,
compared with pseudorandom. After phase II training, the extinction group
showed a significant (F(1,20) = 123.02; p <
0.01) decrease in freezing behavior relative to the nonextinction group. The
nonextinction group continued to respond with significantly more freezing
behavior than the pseudorandom group (F(1,19) = 27.95;
p < 0.01). There was no significant difference in freezing
behavior between the extinction and pseudorandom groups after extinction
training. Finally, there was no freezing behavior to the context during the
tone-off periods preceding each trial (pre-CS), demonstrating that contextual
excitatory effects were not transferred from context A to B and that the CER
observed was evoked by the tone.

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Figure 2. Probe trial freezing behavior. Data for each of four tone CS presentations
during probe sessions I and II are shown. White bars represent counts of
freezing during probe I (post-acquisition); black bars represent counts of
freezing during probe II (post-extinction). Pre-CS freezing was measured
during the 15 sec before tone onset and averaged across trials.
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Mean brain activity results
Of 81 total regions of interest measured, 34 showed significant effects
(p < 0.01) from the ANCOVA. In all, 14 of 17 auditory regions
showed a significant activity increase resulting from acquisition training,
and 20 of 64 extra-auditory regions showed significant effects caused by
acquisition or extinction, or both. In general, three classes of effects were
observed: (1) elevated activity in the extinction group; (2) elevated activity
in the nonextinction group; and (3) extinction and nonextinction groups
greater than pseudorandom group. A summary of these effects is shown in
Table 2, and the regions are
illustrated in Figure 3.
Elevated activity in the extinction group
Extinction group greater than both nonextinction and pseudorandom
groups
The most prominent effect revealed by the mean activity analysis was the
significantly elevated metabolism of prefrontal regions in the extinction
group. There was a trend for elevated FDG uptake throughout prefrontal cortex,
with medial prefrontal and dorsal frontal regions showing significant
increases (1518%) relative to both the pseudorandom and nonextinction
groups.
Extinction group greater than pseudorandom group
Other regions showed greater activity in the extinction group as compared
with the pseudorandom but not the nonextinction group. The infralimbic cortex
showed the largest increase, with 23% greater FDG uptake than the
corresponding value in the pseudorandom group. Neural activity in the medial
thalamus increased in a widespread manner (1013%), particularly for the
medial dorsal thalamic nuclei, which are reciprocally connected with the
frontal regions. Also affected were the centromedial and central lateral
nuclei, which make widespread, diffuse modulatory connections throughout the
cortex. Increased metabolism in the extinction group was also seen in the
rostral caudateputamen (19%) and medial parietal cortex (8%), which
serve as a part of the mouse's sensorimotor US representation, and in the
dorsal cochlear nucleus (DCN) (11%), which is part of the auditory CS
representation.
Extinction group greater than nonextinction group
Although the lateral prefrontal cortex only approached statistical
significance relative to pseudorandom, it was significantly higher (17%) than
the nonextinction group, which was similar in activity to pseudorandom.
However, other prefrontal regions such as prelimbic and orbital regions showed
no significant effects.
Elevated activity in the nonextinction group
Nonextinction group greater than both extinction and pseudorandom
groups
Parts of the auditory system, including auditory cortex (TE3) and both the
intermediate and ventral nuclei of the lateral lemniscus, showed elevated
activity in the nonextinction group, relative to both extinction
(1219%) and pseudorandom (1630%) groups. Another region showing
this excitatory effect (1422%) was the ventral tegmental area (VTA),
which may be involved in the expression of the CER. These nonextinction group
increases may reflect tone-evoked CER excitatory components greater than any
CSUS associative savings common to extinction and nonextinction
groups.
Nonextinction group greater than pseudorandom group
The most consistent examples of this effect were seen in the auditory
system, at virtually every level, from the primary auditory cortex (TE1) (11%)
through medial geniculate nuclei (1315%), the inferior colliculus
(1119%), dorsal lateral lemniscus nucleus (19%), to ventral cochlear
nuclei (1519%). For the nonextinction group, the tone CS acquired an
excitatory salience not evident in the pseudorandom group, and as such, the
auditory system showed increased neuronal metabolism at all levels of
processing.
Similar excitatory effects (14%) were found in perirhinal and retrosplenial
cortices and the CA2 region of the hippocampus. The external cuneate nucleus
of the brainstem, which relays somatosensory information, also showed a 13%
increase in metabolism in the nonextinction group.
Nonextinction group greater than extinction group
The nucleus of the trapezoid body (TBN) in the nonextinction group showed
10% higher activity than in the extinction group, which displayed activity
similar to the pseudorandom group, and the difference between the
nonextinction and pseudorandom groups approached statistical significance.
Given the consistent excitatory effects for the other auditory system regions,
and the similar pattern exhibited in the TBN, this region may be showing a
weaker excitatory effect.
The central amygdala and deep entorhinal cortex also showed significant
increases (2329%) in the nonextinction group relative to the extinction
group, but neither group was significantly different from the nonassociative
pseudorandom group. Relative to the pseudorandom group, the trends were for
lower activity in the extinction group and higher activity in the
nonextinction group, which may reflect nonassociative influences on the
CER.
Extinction and nonextinction groups both greater than
pseudorandom
Despite the different CER expressed in the nonextinction and extinction
groups, their common acquisition training resulted in similar tone-evoked
effects in the CA3 hippocampus, subiculum, and presubiculum, seen as
1018% increases relative to the pseudorandom group. These effects
cannot be attributed to CER expression at the time of FDG uptake, because
although the nonextinction group demonstrated freezing behavior, the
extinction group did not. The simplest explanation is that acquisition
training resulted in these changes because of the original tone-shock
association. The medial geniculate, which also showed significant increases
(1012%) in both conditioned groups, might have entered into this
association, contributing the auditory component of the CSUS
savings.
Interregional within-group correlations
A striking finding about the interregional correlations of FDG uptake
activity was the large number of reliably significant correlations among
regions within the extinction group, far more than were found in either the
nonextinction or pseudorandom groups. Of 50 pair-wise correlations that were
found to be reliably significant at p < 0.01 after the
conservative jackknife procedure, 37 of these were found in the extinction
group, with 5 of those as 0.99 negative correlations between dorsal frontal
cortex and other structures. These patterns of interactivity are illustrated
in Figure 4.

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Figure 4. Pair-wise interregional activity correlations by group. Solid arrows
indicate significant positive correlations in metabolic activity between two
regions; dashed arrows indicate significant negative correlations (p
< 0.01). The extensive functional coupling in the extinction group implies
the existence of a network of thalamic, hippocampal, and auditory regions,
with frontal cortex showing negative correlations with other regions. The
significant correlation values by group can be found in supplementary Table C
(available at
www.jneurosci.org).
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In the extinction group, dorsal frontal cortex (DFC) activity was inversely
correlated with the VTA, medial dorsal thalamus (MD), and auditory regions
[DCN, medial geniculate nucleus dorsal (MGD), TE1]. These strong negative
correlations provided compelling evidence for a negative relationship between
the prefrontal cortex and circuits linked to tone-evoked excitation of the
conditioned response. The prefrontal cortex showed high colinearity among some
of its regions, indicating a unified general pattern of activation and
influences similar to other regions. Although a similar pattern of
interactivity was found for DFClateral frontal cortex
(LFC)medial frontal cortex (MFC), only the stronger negative
correlations between DFC and other regions reached significance in the
extinction group. Two other functional circuits were formed in the extinction
group, a higher-level circuit between medial thalamic and hippocampal regions
and a lower-level circuit between auditory and somatosensory brainstem nuclei.
In the higher circuit, the MD and MGD were functionally connected to a highly
interactive thalamichippocampal network combining medial thalamic
nuclei (medial dorsal lateral thalamic nucleus, centromedial thalamic nucleus,
central lateral thalamic nucleus, medial geniculate nucleus ventral, medial
geniculate nucleus medial) and hippocampal regions (CA2, CA3, subiculum). A
brainstem circuit was also formed between CS and US relay pathways, comprising
the lower auditory nuclei (ventral cochlear nucleus posterior, lateral
lemniscus nucleus dorsal, lateral lemniscus nucleus intermediate, lateral
lemniscus nucleus ventral, inferior colliculus nucleus central, inferior
colliculus nucleus external) and a somatosensory relay nucleus (external
cuneate nucleus).
In the nonextinction group, a smaller number of reliably significant
correlations were found between infralimbic cortex, rostral
caudateputamen, and retrosplenial cortex, as well as auditory
thalamocortical system/hippocampal correlations. The pseudorandom group showed
significant positive relationships among the frontal regions and more coupling
between frontal regions and corticostriatal motor regions
(caudateputamen rostral, parietal cortex medial). In both the
nonextinction and pseudorandom groups, the rostral caudateputamen
showed significant correlations with other regions. These correlations were
not observed in the extinction group.
As a result of the jackknife procedure, some high correlations were not
reliably significant at p < 0.01. For example, the value of the
correlation between dorsal frontal and lateral frontal cortex was
0.950.96 for all three groups, but only the pseudorandom group remained
significant throughout all the jackknife iterations. Dropping subject 12 from
the extinction group resulted in p = 0.039, whereas dropping subject
16 from the nonextinction group gave p = 0.011. Although many more
high correlation coefficients could reach a less conservative probability
level, the same within-group patterns of interactivity were found. Rather than
focusing on particular correlation coefficients, the interregional covariance
approach emphasized how the pattern of relationships among many regions and
systems was manifested in each group.
Brainbehavior correlations
Correlations between brain activity and extinction behavior for the five
regions showing significant (p < 0.05) correlations are presented
in Table 3. This analysis
confirmed that each of the more activated regions in the extinction group
showed positive correlations between regional activation and extinction of the
CER. The MFC in particular showed a 0.99 correlation between the extinction
retention index and cortical activity (p < 0.01). The subjects
with higher medial frontal cortex activity were more successful at inhibiting
the CER.
 |
Discussion
|
|---|
In an intact mammalian brain, prefrontal cortex activation and its negative
interactions with extensive networks of medial thalamic, auditory, and
hippocampal regions underlie the retention of extinction. Behavioral phenomena
such as spontaneous recovery suggest that CSUS associative effects are
not eliminated after extinction; however, many neural studies assume that
extinction is simply the reversal of acquisition. For example, in the mollusk
Hermissenda, Richards et al.
(1984
) concluded that
extinction results from a reversal of the acquisition process, in terms of
behavior and electrophysiology. Although this may be the extinction mechanism
in simple organisms like invertebrates, animals with complex brains have more
complex mechanisms of extinction that cannot be reduced to a simple cellular
event.
Neural activity differences between extinction, nonextinction, and
pseudorandom groups of mice might indicate the neural mechanisms involved in
inhibition of the conditioned response. Because the extinction group as well
as the pseudorandom group did not show a CER during FDG uptake sampling of
brain activity, neural effects unique to the extinction group cannot be
discounted simply as reflecting differences in CER performance. The lack of
tone-evoked conditioned effects in the basal and lateral amygdala has been a
consistent negative finding in every FDG study of conditioning for the past 20
years. Some regions might be involved at the beginning of conditioning but not
after several days of training, when we tested the tone-evoked effects.
A strong argument can be made for a crucial role of the prefrontal cortex
in the retention of CER inhibition after extinction. The lesion literature,
however, is not conclusive. First, lesions are often made before acquisition
training, which would interfere with normal brain interactions in acquisition
and extinction. For example, the frontalauditory correlation
(DFCDCN) was modified from positive to negative in the acquisition and
extinction groups (0.52 to 0.99). Frontal cortex lesions would
compromise this interaction during both acquisition and extinction. Second,
lesions assume that the mechanism of extinction is localized to one brain
region or pathway. This is not the case, as shown by the extensive network of
interactions between brain regions in the extinction group
(Fig. 4). Lesions of the rat
ventromedial prefrontal cortex resulted in across-days extinction deficits in
studies by Morgan et al.
(1993
) and Quirk et al.
(2000
) but not in Gewirtz et
al. (1997
). Morgan and LeDoux
(1995
) performed electrolytic
lesions of the rat dorsomedial prefrontal cortex before Pavlovian conditioning
and found that rats increased their freezing during both acquisition and
extinction. Vouimba et al.
(2000
) performed electrolytic
lesions of the mouse dorsomedial prefrontal cortex after acquisition of
Pavlovian conditioning and found no effect on extinction. The assumption that
there is one region or pathway responsible for extinction is too simplistic
considering that in intact brains the extinguished tone produced activational
effects in many regions (Fig.
3) and that there were >30 different interregional interactions
in the extinction group that were not observed in the acquisition and
pseudorandom groups (Fig.
4).
Milad and Quirk (2002
)
provided electrophysiological evidence for the involvement of the rat
infralimbic cortex in the retention of extinction. Single unit recordings
showed enhanced firing rates in infralimbic cortex but not in medial orbital
or prelimbic cortex. Unit responses to the tone were stronger in rats showing
more extinction of freezing. Furthermore, electrical stimulation of the
infralimbic cortex led to less freezing during extinction. The electrical
stimulation of projections from MD to prefrontal cortex can also modify
extinction of conditioned freezing (Herry
et al., 1999
; Herry and Garcia,
2002
). These findings are consistent with our FDG results. The
mouse infralimbic cortex showed the largest increase in FDG uptake (23%) among
the regions with significantly elevated activity in the extinction group;
however, orbital and prelimbic cortex showed no significant group differences.
Infralimbic activity was also correlated with our behavioral extinction index.
Extinction effects, however, were not limited to the infralimbic cortex.
We found that medial, dorsal, and lateral regions of the prefrontal cortex,
located anterior and dorsal to infralimbic cortex, showed higher correlations
between their activity and the extinction index
(Table 3), and they satisfied
our criterion of showing differences as compared with both nonextinction and
pseudorandom controls. The medial, dorsal, and lateral frontal regions are
labeled as Cg1, M2, and M1, respectively, in the Paxinos and Franklin
(2001
) atlas. Our medial
frontal cortex region (Fig. 3) is a neocortical region with six layers that needs to be distinguished from
the histologically different cingulate cortex located more posterior, also
labeled Cg1 by Paxinos and Franklin
(2001
). DFC and LFC are
labeled as M2 and M1, respectively, in the Paxinos and Franklin
(2001
) atlas at this level
(2.22 mm anterior to bregma) and at much more posterior levels (1.22 mm
posterior to bregma). We cannot use the M1M2 labels at all of these
levels because although there is evidence that posterior M1M2 are motor
regions, there is no such purely motor evidence for our much more anterior
dorsolateral frontal regions. M1M2 showed no differences between
extinction and nonextinction groups, and our results show that DFC and LFC are
linked to extinction rather than to purely motor effects.
There were also large-scale networks of interactions between dorsal
frontal, medial thalamic, hippocampal, and auditory regions in the extinction
group, which may reflect an inhibitory relationship between frontal cortex and
auditory and limbic networks with CSUS associative effects. This
interpretation is consistent with human neuroimaging studies of tone
conditioning. For example, Molchan et al.
(1994
) found an increase in
frontal cortex blood flow with extinction, whereas auditory and medial
temporal regions showed increases during acquisition. Schreurs et al.
(2001
) examined the
interactions of prefrontal cortex during acquisition and extinction of
tone-conditioned eye blink in young and old people using blood flow data.
Consistent with our FDG findings in mice, humans showed greater activity in
the prefrontal cortex during extinction retention. Moreover, after extinction
the prefrontal cortex interacted extensively with other regions that were
activated during acquisition, including negative correlations with auditory
regions (superior temporal areas 42, 22) and limbic regions (hippocampus,
perihippocampal area). Older subjects with impaired tone conditioning did not
show these interactions. Admittedly, homologies between human and rodent
brains are difficult to make, and the spatial resolution in the human studies
was very limited as compared with our FDG mapping. Nevertheless the general
pattern of brain effects produced by an extinguished tone is essentially the
same in mice and men.
The prefrontal cortex is also involved in other behavioral inhibitory
phenomena, such as the blocking of tone conditioning
(Jones and Gonzalez-Lima,
2001a
) and the partial reinforcement extinction effect (Nair et
al.,
2001a
,b
).
Our FDG study of the extinction of an instrumental response in infant rats
found significant interactions between medial prefrontal, orbitofrontal, and
anterior cingulate cortices, but only in the older pups, which extinguished
faster than the younger pups. Extensive functional coupling was found in the
older group during extinction but not in handled controls, suggesting that the
functional network involving frontal cortex was present as a result of their
extinction training. McIntosh et al.
(1999
) described a positron
emission tomography study in which human subjects showed progressively greater
prefrontal activity to a tone CS than another tone CS+. The better they
were at inhibiting their response to the CS, the more blood was routed
to their prefrontal cortex. This form of behavioral inhibition is similar to
the extinction paradigm, in which a tone-evoked CER is being suppressed.
Our findings also provided evidence that some auditory system changes
produced by acquisition are present after extinction. Most auditory system
activation is linked to tone-signaled CERs, as in our previous FDG mapping
studies comparing tone-conditioned CER excitation and inhibition
(McIntosh and Gonzalez-Lima,
1994
). Associative effects in the auditory system are not observed
in the pseudorandom group, in which the tone was not associated with the US.
Enhanced activity in the ventral medial geniculate nucleus in nonextinction
and extinction groups suggests that extinction does not involve unlearning of
excitatory CSUS neural associations in some auditory structures.
The activational effects in the hippocampus, across both extinction and
nonextinction groups, is further evidence that the previously acquired
tone-shock association is still present in the extinction group, although the
CER is extinguished. Interestingly, this lingering excitatory CSUS
effect was not found in another form of CER inhibition called differential
inhibition, in which the tone is never paired with the foot shock and no
excitatory tone-shock association can be formed. In the case of differential
inhibition, hippocampal and septal areas exhibited decreased FDG uptake to the
tone inhibitor as compared with a pseudorandom group
(Jones and Gonzalez-Lima,
2001b
). Therefore, excitatory CSUS associative effects in
certain auditory and hippocampal regions are not destroyed with extinction,
and the brain effects of an extinguished tone are not the same as those of a
tone inhibitor.
In conclusion, these findings suggest that prefrontal activation inhibits
the associative components of the tone-evoked conditioned response via its
negative interactions with auditory and hippocampal networks. They also
support Pavlov's (1927
) ideas
of extinction, namely that the original CSUS associative effects remain
partially intact and that inhibitory cortical circuits are formed to reduce
the CS-evoked conditioned response.
 |
Footnotes
|
|---|
Received Mar. 6, 2003;
revised Apr. 18, 2003;
accepted Apr. 23, 2003.
This work was supported by National Institutes of Health Grant R01 NS37755
to F.G.-L. This work was submitted by D.B. in partial fulfillment of the
requirements for a PhD degree at the University of Texas. We thank J. D.
Berndt, A. Kalia, and M. Robinson for technical assistance.
Correspondence should be addressed to Dr. F. Gonzalez-Lima, University of
Texas at Austin, Department of Psychology, 1 University Station A8000, Austin,
TX 78712-0187. E-mail:
gonzalez-lima{at}psy.utexas.edu.
D. Jones's present address: Department of Psychology, Trinity University,
San Antonio, TX 78212.
Copyright © 2003 Society for Neuroscience
0270-6474/03/235740-10$15.00/0
 |
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