Fear conditioning is one of the most widely used paradigms for studying the neurobiology of emotional learning. In this paradigm, an emotionally neutral stimulus (the conditioned stimulus or CS) is paired with an aversive unconditioned stimulus (US), generally a mild foot shock. After a few trials, re-exposure to the CS alone elicits a fear response, proceeding through the necessary connecting structures, and ending with the autonomic and motoric effector outputs. This fear response is part of an anticipatory response to danger , initiating a range of defensive reactions that counter threats to survival . The most universal response is a postural immobility, called freezing [3, 4]. Moreover, the threatening stimulus also triggers the activation of the hypothalamic subnuclei to induce an increase in blood pressure, ultrasonic vocalizations emission, or the release of stress hormones. The vast majority of studies devoted to investigate the neural basis of fear conditioning have used auditory cues as conditioned stimuli and the neural pathways involved in auditory fear conditioning have been well characterized [5-8]. The information carried by the auditory CS can take one of two pathways: either directly from the thalamus to quickly reach the amygdala or the CS can travel from the auditory thalamus to the auditory cortex before reaching the amygdala. These thalamic and cortical areas send projections to the lateral nucleus of the amygdala, which is a site of CS-US convergence. The lateral nucleus, in turn, projects to the central amygdala, which controls the expression of fear responses by way of projections to brainstem areas. The major conclusion of these studies is that the amygdala plays a critical role in linking external stimuli to defense responses through synaptic plasticity. However, although the amygdala seems to be essential to the formation and storage of fear memories, it might not store all aspects of the aversive event. Indeed, plasticity also occurs in cortical areas during fear conditioning, which could support declarative memories of the learning episode mainly through interactions with the medial temporal lobe memory system [9-13]. Thus, the amygdala may store some aspects of fear memory and facilitate the storage of other, more sensory-related, aspects of fear memory in cortical areas . Yet few studies have investigated this question . Intriguingly, whereas olfaction plays a dominant role in rat behavior from birth throughout adulthood, very few studies have used odor cues as CS in fear conditioning paradigms. Yet, odors have a rather unique status for eliciting emotional memories.. This particularity might be linked to the uniqueness of the anatomy of the olfactory system. Indeed, in contrast to the other sensory pathways, olfactory information has a direct access to the amygdala and olfactory (piriform) cortex with no obligatory thalamic relay [17-19]. The literature suggests that, similarly to what is observed in auditory fear conditioning, the amygdala is a key brain structure involved in the acquisition, consolidation and expression of odor fear conditioning [20-26]. Recently, some studies also suggest that the posterior piriform cortex (PPC) may play a critical role in this associative learning [23, 26, 27]. Therefore, the olfactory system constitutes a particularly relevant model for studying the relative contribution of sensory cortices and amygdalar nuclei to odor fear learning. For several years now, the glutamatergic transmission in the amygdala is known to play a critical role in the acquisition of fear conditioning [28, 29]. Indeed, pharmacological studies show that NMDA and AMPA subclasses of glutamate receptors are crucial for synaptic plasticity and long-term potentiation to occur in the amygdala, sustaining the formation of the CS-US association [25, 30-35]. In addition, the GABAergic transmission seems to be also involved in the acquisition of fear learning. Intra-amygdala infusion of the GABAA receptor agonist muscimol before training impairs learning [36, 37]. Therefore, glutamate and GABA neurotransmission are thought to play a critical role in the acquisition and expression of fear memories (for review, see ). Beside these neuropharmacological studies, a few neurochemical studies have directly measured glutamate or GABA levels in the amygdala during auditory fear conditioning, using a 10-min sampling rate [39, 40]. However, this sampling rate is too long as compared to the rapid neurobiological events underlying fear conditioning. An approach allowing rapid, sub-minute sampling is required to better characterize the dynamics of neurotransmitter changes evoked by the stimuli involved in fear conditioning experiments . Until now, the precise time course of the differential involvement of the amygdala and sensory cortices in fear conditioning has received little investigation. The aim of this chapter is to show that intra‐ cerebral in vivo microdialysis with high temporal resolution is an interesting tool to investigate the time course of activation of amygdala and sensory cortices in this learning. Monitoring neurotransmitters using microdialysis 2.1. Principle of the technique and analytical considerations Microdialysis has become a conventional technique for sampling low molecular weight molecules present in the extracellular medium of many organs from animals or humans . In the brain, it has been used in vivo or ex vivo to monitor amino acids neurotransmitters as excitatory or inhibitory amino acids as glutamate and GABA, monoamines as dopamine, noradrenaline, serotonin and/or neuropeptides for instance. The microdialysis relies on a semi-permeable membrane that allows free diffusion of solutes between the extracellular space and an artificial fluid. A microdialysis probe consists of two concentric tubes with the distal part (1–5 mm) covered by a dialysis hollow fibre whose cut-off ranges between 6,000 and 100,000 Da. Such a probe is inserted into a living brain tissue and is perfused by an isotonic physio‐ logical fluid. Molecules diffuse down their concentration gradient across the dialysis mem‐ brane in a bidirectional way (“dialysis” for collecting endogenous molecules or “reverse dialysis” for applying exogenous compounds) (Figure 1). In the case of collection, the relative recovery across the probe membrane, defined as the ratio between the extracellular concen‐ tration and the concentration of a compound in the dialysate collected at the outlet of the probe, depends on several factors: it increases with the surface of the membrane, it decreases with higher flow rate of the perfusion fluid, and it varies with the chemical and physical charac‐ teristics of the membrane . The choice of the dialysis membrane can be crucial for com‐ pounds present at trace concentration or when the limit of detection of the analytical method is relatively moderate. For instance, a short length (i.e. 1-2 mm) of the membrane chosen to sample a very small brain area in rats, such as the periaqueductal grey matter, the locus coeruleus, the amygdala and hypothalamic nuclei leads to a low recovery of sampling, making difficult the monitoring of low concentrated compounds as monoamines or neuropeptides. Depending on the methodological parameters, recovery values usually reported in literature are between 5 and 25 % for amino acids or monoamines and can reach < 1 % for neuropeptides. Another point to take into account is the choice of the geometry of the probe tubings when considering the sampling rate, especially when designing in vivo microdialysis on awake animals. These latter peculiar points will be explained and detailed in the next section part of the manuscript. As the microdialysis probe is continuously perfused at a constant flow rate, continuous sampling of neurotransmitters is possible with no loss. Indeed, neurotransmitters present in the microdialysate can be directly analyzed without clean-up procedures as high molecular weight proteins cannot cross the dialysis membrane thanks to the cut-off of the membrane used. However, manipulation of microdialysis samples requires precaution in case of amino acids: use of sterile tubes, filtered aCSF and wear of gloves avoiding contamination due to the ubiquitous presence of free amino acids on labware and skin. Eventually, samples may be usually analyzed by a separative method like high performance liquid chromatography (HPLC) or capillary electrophoresis (CE) [44, 45]. Microdialysates can be analyzed on-line, i.e., at the outlet of the probe, through an analytical interface, or off-line i.e., after sample collection in micro-tubes, in combination with a separative method [44, 46, 47]. Thus, the determinationNext-> Drug transport across the BBB
of concentrations in each sample reflects the average concentration over the defined sampling duration. Data are classically expressed as % of the average of the first samples collected, corresponding to baseline. As a consequence, microdialysis (except in very peculiar methodo‐ logical contexts not explained in this chapter) is considered as a semi-quantitative method as it permits to monitor precisely relative variations of neurotransmitters. Analysis of microdialysates has commonly used HPLC with electrochemical [48, 49] or fluorometric detection [50, 51], and also enzymatic methods . However, these analytical techniques exhibit poor mass sensitivity and require large volume samples to determine neurotransmitter contents. As a consequence, despite constant improvements in HPLC [50, 51, 53], the required sample volume may still be too large, leading to lengthy dialysis sampling times and poor temporal resolution. Consequently, most microdialysis experiments were severely limited by the temporal resolution of microdialysis (5–30 min) compared to rapid changes occurring in the extracellular concentrations of neurotransmitters. In contrast, microdialysis coupled to CE, a more recent technique, allows the monitoring of rapid changes in the extracellular concentration of neurotransmitters by analysing nanovolume dialysates with low limits of detection. At present, it appears to be suitable for microdialysis with high sampling rate. Often coupled to laser-induced fluorescence (LIF) detection or mass spectrom‐ etry (MS), capillary electrophoresis has become one of the most powerful analytical tools for the routine determination of neurotransmitters because it offers the advantage of rapidity, high resolution and sensitivity, while requiring very small sample sizes [44, 54, 55]. In brain microdialysates, glutamate and GABA [56-64] were often analysed using CE with LIF detec‐ tion. However, as amino acid neurotransmitters are not fluorescent at wavelengths of most commercially available lasers, derivatization prior to the separation is needed. Fluorescent reagents, as naphthalene-2,3-dicarboxaldehyde (NDA), orthophtaldehyde (OPA) or fluores‐ cein isothiocyanate, reacting with the primary amine function of neurotransmitters, allow their detection following laser excitation at 442, 325, or 488 nm, respectively [63-65]. Several groups, including our own, have developed methodologies for the CE–LIF analysis of brain micro‐ dialysates after a derivatization of samples with fluorogenic agents, even on sub-microliter dialysates obtained with high temporal resolution microdialysis (5s – 1 min,  for mini-review). 2.2. Set-up for high temporal microdialysis on behaving animal According to the neurophysiological question asked, the experimental set-up for microdialy‐ sis experiments has to be carefully designed: the choice of microdialysis probe according to the targeted brain area, the choice of the analytical method to quantify dialysate neurotransmit‐ ters and the coupling of the experimental set-ups or approaches are all crucial to succeed in neurochemical studies. The aim of the study described here  was to monitor amino acid neurotransmitters as glutamate and GABA in brain areas involved in emotional learning and memory using odor fear conditioning. Indeed, while a few studies have investigated the time course of events separately in the auditory cortex and the amygdala during auditory fear conditioning [11, 12], no study up to date has been conducted to investigate simultaneously the changes in amygdala and sensory cortical areas in the same animal during fear conditioning. Our group previously reported lasting changes in electrophysiological field potential signals in both posterior piriform cortex (PPC) and amygdala (basolateral nucleus, BLA) after a session of odor fear conditioning . As a consequence, we conducted an experiment using a dual-microdialysis probe implantation, in order to compare the time courses of changes in GABA and glutamate concentrations, monitored simultaneously in BLA and PPC during odor fear conditioning. Very few groups have developed dual (or triple) implantation of microdialysis probes on the same animal [67, 68]. Indeed in most studies using brain microdialysis, dialysates collection is usually performed in one brain structure at a time, sometimes on different days. Literature on microdialysis experiments in BLA is rather abundant, mainly for monoamines. There are only a few papers in the literature reporting microdialysis studies in the piriform cortex in an epileptic model  or during a feeding/diet procedure . Two other studies were devoted to glutamate monitoring at 20 or 30-min sampling rate in anesthetized  or awake rats . In order to target the centre of each brain structure and avoid excluding rats with inaccurate implantation on one hand, and in order to optimize the amount of collected glutamate and GABA in the microdialysates for analytical quantification on the other hand, 1.5-mm microdialysis probes were used for both BLA and PPC. However, due to the size of the probes and the vicinity of amygdala and olfactory cortex, we implanted one probe per hemisphere, BLA probe on one side, PPC probe contralaterally (Figure 2). As the acquisition session of odor fear conditioning was short-lasting (30 min), we monitored glutamate and GABA at high sampling rate using CE-LIFD as analytical technique. When performing high sampling rate, it is crucial to optimize the geometry of the probe tubings.
Figure 1. Schematic representation of a microdialysis probe. The probe is continuously perfused by an isotonic physio‐ logical fluid. Endogenous compounds (filled circles) diffuse through the dialysis membrane (filled arrow) and are sam‐ pled in the microdialysate collected at the outlet of the probe. Drugs (open circles) can be added to the perfusion medium and can diffuse out of the probe into the extracellular medium (open arrow) providing a means of local ad‐ ministration. From , with permission from John Wiley and Sons.
Indeed, a high sampling rate requires appropriate probe tubings since solutes could undergo more longitudinal diffusion in the outlet probe tubing if the interval of time between dialysis and collection, also called ‘dead time, is superior to the sampling time . As a consequence, to avoid mixing of analytes between successive samples, the dead volume of these tubings has to be minimized. This is particularly relevant when microdialysis experiments are carried out on awake animals because the setting requires long inlet and outlet probe tubings in order to let the animals move freely. In our odor fear conditioning, the set-up includes specific characteristics: an experimental chamber with a grid for electrical stimulation which is a mild footshock (Unconditioned Stimulus, US) and with an ventilation system bringing and removing the odor (Conditioned Stimulus, CS); besides, this experimental chamber has to be placed in a soundproof box in which we can position cameras to record the behavior of the animal. Material for microdialysis (perfusion pump) and collection have to be placed outside the box for not disturbing the animal in learning. In our set-up, the height of the box reaches almost one meter (Figure 3). The dead volume can be greatly minimized by using capillary tubings with sub-50 µm inner diameters, as previously demonstrated by our group . By using a 40-µm inner diameter, we have optimized the microdialysis set-up for odor condi‐ tioning by adapting methods that our group previously used for an accurate monitoring of 30-s pharmacologically-induced increases  or 20-s behaviourally-induced variations  in extracellular levels of amino acids neurotransmitters. We showed that the experimental determination of the dead time is necessary in order to adapt each set-up to the sampling rate required (Figure 4). The final length of the outlet tubing is 120 cm with a dead time of 1 min 30 at 2µL/min as sampling rate and the final sampling resolution is 1 min. The time scale in the figures corresponds to the real time of collection of the fractions. Administration of odor was timed to take into account the outlet dead time of the dialysate system.
Figure 2. Brain sections from Paxinos & Watson’s atlas with a schematic probe implanted in the left basolateral amyg‐ dala and the other implanted in the right posterior piriform cortex of the same freely-moving rat for simultaneous glutamate and GABA monitoring
Another analytical constraint is to tag the sample in order to detect the amino acids collected during the dialysis experiment. As glutamate and GABA are not fluorescent, we employed a validated home-made on-line system able to deliver the derivatization reagents directly in the collection tube , allowing to derivatize the dialysate while dialyzing, without sample loss, noticeable dilution or contamination and without increasing the dead volume of the probe. Thus, the collection tube is not only the micro-reactor of derivatization, but also the injection tube for capillary electrophoresis analysis (Figure 3).
Figure 3. Experimental set-up for both microdialysis sampling and dialysates derivatization during the acquisition of odor fear conditioning. The dual probe-implanted animal is placed in an experimental chamber for odor (conditional stimulus) and shock (unconditional stimulus) deliveries, required in the learning procedure. This chamber is sound-proof in order to prevent external noise to interfere with the animal’s behaviour. Microdialysis and derivatization are performed simultaneously using one pump per brain area and four syringes delivering artificial cerebrospinal fluid (aCSF) in the inlet of the probe or reagents (NDA as derivatization agent in presence of cyanide ions at pH 8.7 and internal standard for better quantification by capillary electrophoresis with laser-induced fluorescence detection) to tag the neurotransmitters at the outlet of the probe.
Figure 5 presents an example of typical electropherogramm obtained from 1 minute sampling rate of brain microdialysate in freely-moving rat during the acquisition of fear conditioning. Note that the concentrations for GABA and glutamate are similar in PPC or in BLA.
Figure 4. Example of determination of the dead time of an 85-cm outlet home-made probe perfused at 2µL/min by plunging the probe into a known concentration of glutamate at t=0s. The dead time is determined as the time when 50% of the maximal response is reached using a sigmoid curve fitting the 30-s glutamate monitoring (up). By varying the length of the outlet tubing of customized probes (n=3), the dead time of probes can be interpolated and the final length of outlet tubing (here, 120 cm for a dead time of 1 min 30 s) can be chosen according to the height of our experimental set-up and the 1-min sampling rate (bottom). As a consequence, administration of odor was timed to take into account the outlet dead volume of the dialysate system.
Neurochemistry of odor fear conditioning 3.1. Interactions between amygdala and piriform cortex in odor fear conditioning The odor fear conditioning paradigm consisted of six 20-s odor/ 2-s shock associations presented with an interval of 4 minutes between each pairing. In the amygdala, the first odor-shock association is accompanied by a significant but transient +40%-increase of glutamate release. During the next trials, the concentrations returned to the baseline levels or slightly below. In contrast, in piriform cortex, each odor-shock association is followed by a transient +25%-increase in glutamate release. The comparison of the pattern of release observed in the two structures has also shown that the increase in the amygdala during the first association occurred 1-2 min before the first response in the piriform cortex (Figure 6).
Figure 5. Typical electropherograms from microdialysates obtained in posterior piriform cortex and basolateral amyg‐ dala on the same freely-moving Long-Evans rat. Samples were collected every minute at 2µL/min and derivatized on-line as described in Figure 3 of this chapter. Adapted from .
The profile of GABA variations during odor fear conditioning was similar in duration and amplitude to that obtained for glutamate presented in Figure 6, i.e. with an enhancement of GABA levels in the amygdala during the first pairing and increases of GABA concentrations in piriform cortex 1-2 min after each pairing. As glutamate and GABA fluctuations were not overall significantly different throughout the experiment, it can be suggested that GABA increases could be induced by glutamate increases, as shown by [74, 75] in the prefrontal cortex. The high temporal resolution microdialysis allowed us to highlight a differential dynamics of neurotransmitters release in the piriform cortex and amygdala during odor fear acquisition. Taken together, these results suggest that there is a temporal sequence of neurochemical events in the amygdala and piriform cortex, a very precise dynamics of neurotransmitters during the early stages of the acquisition session, which could be involved in the initiation of plastic changes supporting the formation of the memory. 3.2. Functional significance of neurochemical data Glutamate collected from the BLA and PPC may have originated from both extrinsic and intrinsic sources. Indeed, the BLA receives afferences from primary olfactory cortex [76-78] and from other associative areas [19, 79], providing an extrinsic source of glutamate. Similarly, PPC receives a strong glutamatergic input from the olfactory bulb as well as inputs from the BLA, prefrontal cortex, and hippocampus [80-82]. In addition, both the BLA and PPC contain glutamatergic pyramidal cells that send axon collaterals to neighboring cells, thus providing an intrinsic source of glutamate [79, 83, 84]. Concerning GABA origin, in both BLA and PPC, GABA is released by local inhibitory interneurons [79, 85]. While in vivo microdialysis is a useful method for monitoring the neurotransmitters present in the brain extracellular fluid , many studies have questioned to what extent dialysate glutamate concentration reflects the amount of glutamate released by the presynaptic neuron. Indeed, due to the ubiquitous localization of its metabolism enzymes and transporters in all brain cells and its paramount role in protein synthesis and general metabolism, numerous works attempted to determine the origin of extracellular glutamate. If the proportion of extracellular glutamate taken up by astrocytes is about 80–90% of the whole glutamate pool , the part of the neuronal glutamate, i.e. released for the only neurotransmission purpose, is still matter of debate, because glutamate may come from many sources of effluxes as neuronal “classical” release , exchange via cysteine/glutamate transporters [89-92], inversion of transporters  and glial release via exocytosis or non-exocytosis [94-96]. Former methodological strategies used for monoamine neurotransmitters to impair the vesicular neuronal release by lowering or removing calcium in aCSF or by blocking nerve impulse Na +-dependent channels with tetrodotoxine (TTX) gave contradictory answers: some studies reported decreases in basal level of glutamate in dialysate, which is in favour of the neuronal origin of basal extracellular glutamate. In contrast, other studies described no change or even increases under such experimental conditions . Consequently, it was suggested that most part of neurotransmitter glutamate released into synaptic cleft in basal conditions may be taken up into surrounding glia and diffuses poorly to the dialysis probe. The same question can be asked for extracellular GABA because its metabolism is tightly linked to glutamate. As for glutamate, unsuccessful conclusions were also reported regarding the origin of dialysate GABA in basal conditions . However, increasing the microdialysis sampling rate had been proposed in order to observe the rapid variations in glutamate extracellular level which are expected to occur in neurophysiological events [73, 98]. Recent studies using high sampling rate microdialysis showed that NMDA application  or electrical stimulation of the pre‐ frontal cortex  increases dialysate glutamate concentrations in brain regions receiving projections from this area and that the increase is suppressed or partly altered by TTX [99, 100]. These studies strongly suggest that the transient increase in dialysate glutamate detected under these conditions really represents evoked neurotransmitter glutamate release . Extracellular (or dialysate) concentrations of glutamate and GABA may not always provide a reliable index of their synaptic exocytotic release. Indeed, a strict compartment between intra-synaptic and extra-synaptic was evidenced with poor spill-over from synaptic compartment to extra-synaptic part [102, 103], mainly due to a strong glial uptake. So that, the changes in extracellular concentrations of glutamate and GABA under specific pharmacological and behavioural stimuli should not be only interpreted as a consequence of the activation of specific neurochemical circuits, but as an expression of the activity of the neuron-astrocyte unit in specific circuits of the brain. Several authors proposed that dialysate changes in glutamate and GABA could be used as an index of volume transmission mediated actions of these two neurotransmitters. This hypothesis is based firstly on the assumption that the activity of neurons is functionally linked to the activity of astrocytes, which can release glutamate and GABA to the extracellular space [94, 104]; secondly, on the existence of extrasynaptic glutamate and GABA receptors with functional properties different from those of receptors located in the synapse [105, 106]; and thirdly, on the experimental evidence reporting specific electro‐ physiological and neurochemical effects of glutamate and GABA when their levels are increased in the extracellular space . Thus, glutamate and GABA, once released into the extracellular compartment, can diffuse and have long-lasting effects modulating glutamatergic and/or GABAergic neuron-astrocytic networks and interact with neurons containing other neurotransmitters and located in the same areas of the brain. In conclusion, monitoring of glutamate and GABA concentrations in the extracellular space using microdialysis may provide an indirect index of amino acids synaptic neurotransmission while giving direct indications of amino acids volume neurotransmission . A few studies have specifically measured extracellular glutamate or GABA in brain structures involved in fear conditioning, investigating the neurotransmitters changes in amygdala during auditory fear learning. More precisely, these microdialysis studies have described a long-lasting decrease in GABA during expression of conditioned fear  and a small increase in glutamate during auditory fear conditioning . However, these studies suffer from poor (10–20 min) temporal resolution associated with traditional microdialysis. Only one study has used high temporal resolution microdialysis to measured glutamate and GABA into the amygdala during the acquisition of auditory fear conditioning  and suggests that the co-variations of glutamate and GABA may be explained as a glutamate-induced increase in GABA. This study also showed an increase in neurotransmitters levels in the amygdala only for the first association after which the concentration returned to baseline levels. This last result is in agreement with our microdialysis data for the amygdala in odor fear conditioning. Unfortunately, microdialysis was not performed in the auditory cortex, thus precluding any comparison with our own data on the piriform cortex. Nevertheless, there are some electro‐ physiological data which show that the amygdala is activated before the auditory cortex in auditory fear learning [9, 11]. These data are in accordance with our findings and confirm the differential activation of the amygdala and sensory cortices within the acquisition session of fear conditioning. High Temporal Resolution Brain Microdialysis as a Tool to Investigate the Dynamics of Interactions Between…
Figure 6. Comparison of glutamate concentration fluctuations in the amygdala and the piriform cortex during odor fear acquisition session. Glutamate concentrations were measured throughout the session and expressed as a per‐ centage of baseline calculated as the mean of concentration for the four points preceding the first pairing. Black ar‐ rowheads above the x-axis symbolize trial occurrence. Light gray vertical bars indicate the timing of the 4-min intertrial intervals. (*) Significant difference between the two structures (p < 0.05); (#) tendency toward significant difference (p < 0.09). Adapted from 
Our microdialysis data led us to formulate the following working hypothesis (Figure 7). During the first pairing, the amygdala glutamatergic transmission would allow the formation of the memory of the CS-US association as it is the case for auditory fear conditioning. The new idea brought by our data is that this could be initiated by a single trial, since no further increase in glutamate was detected in the amygdala for the next pairings. In parallel, the amygdala would trigger the first glutamate increase detected in the olfactory cortex. This would be achieved through the involvement of a direct projection pathway between the amygdala and the piriform cortex . After that, the piriform cortex would progressively build the memory of the different attributes of the learned odor across the next trials. What are the strengths of our data? This work was aimed at studying the neurochemical inter‐ action between the amygdala and the piriform cortex in odor fear conditioning. We described a differential activation dynamics between the amygdala and the olfactory cortex within the acquisition session. This dynamic reveals an early and transient involvement of the amygdala, restricted to the first odor-shock association followed by the activation of the olfactory cortex during the next associations, which persists until the end of the acquisition session. Until now, most studies questioning the role of the amygdala and sensory areas in fear conditioning have used local lesions or inactivation before or after the acquisition session. Our technical approach is one of the very few allowing online monitoring of neurochemical events occurring in parallel in the amygdala and olfactory cortex, using a temporal resolution compatible with the observation of very transient changes. 4. Conclusion and perspectives The recent development of high sampling rate microdialysis coupled with high-performance separative microtechniques able to handle sub-microliter sample allows monitoring rapid changes in extracellular levels of amino acid neurotransmitters. Such a platform allows in vivo investigating neurotransmission in freely-moving animals learning fear as in odor fear conditioning. Using two microdialysis probes, we were able to study the neurochemical interactions between two major brain areas involved in the acquisition and consolidation of odor fear conditioning: the amygdala which role is crucial for the formation of fear memory and the piriform cortex which could encode other aspects of the aversive event. Our data suggest that projections from the amygdala to the piriform cortex might provide a pathway via which the amygdala could modulate the cortical processing of olfactory information and initiate the progressive storage of the different attributes of the learned odor in long-term memory.
Figure 7. Functional hypotheses on the interactions between the amygdala and the piriform cortex during the acquis‐ ition of odor fear learning. An early transient response in the amygdala may allow fast signaling following the first CS-US pairing. Projections from the amygdala to the piriform cortex may provide a pathway through which the amygdala can modulate cortical processing of olfactory information and initiate the storage of the various attributes of the learned odor. The piriform cortex might store certain aspects of the conditioning experience, including the learned hedonic value of the CS odor.
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