Abstract
The amygdala is important for emotional memory, including learned fear. A number of studies for amygdala neural circuits that underlie fear conditioning have elucidated specific cellular and molecular mechanisms of emotional memory. Recent technical advances such as optogenetic approaches have not only confirmed the importance of excitatory circuits in fear conditioning, but have also shed new light for a direct role of inhibitory circuits in both the acquisition and extinction of fear memory in addition to their role in fine tuning of excitatory neural circuitry. As a result, the circuits in amygdala could be drawn more elaborately, and it led us to understand how fear or extinction memories are formed in the detailed circuit level, and various neuromodulators affect these circuit activities, inducing subtle behavioral changes.
INTRODUCTION
The amygdala is an almond-like structure that is located within the temporal lobe of the brain, adjacent to the ventral hippocampus. The neural circuits of the amygdala and its connected brain areas are thought to be critically important for emotional learning, especially the formation and storage of fear memories (LeDoux, 2003). Formation and recall of these emotional memories are essential for animal survival. Therefore, the behavioral features and signaling mechanisms of fear memories are highly conserved across the animal realm. The neuronal engrams that permit storage of learned fear are formed almost immediately upon exposure of the subject to threats, and are represented by apparent changes in behavioral patterns. Thus, this perspicuity of fear responses provides opportunities to investigate both the physiological functions of amygdala circuits and the molecular and cellular mechanisms that underlie long-lasting memories.
The amygdala is composed of several subnuclei that can be largely classified into two groups, cortex- and striatum-like structures (; Figure 1). The basolateral amygdala (BLA), which includes the lateral amygdala (LA) and the basal amygdala (BA), would be considered to be cortex-like nuclei since the structural organization and cellular composition of these structures are similar to those of the cortex: the majority of cells are excitatory projection neurons and only a minority of cells are interneurons that form local inhibitory circuits (; Smith and Pare, 1994). BA can be further divided into the basolateral nucleus (BL) and the basomedial nucleus (BM; Figure 1). By contrast, the central nucleus of the amygdala (CEA) is a striatum-like nucleus. CEA is located medial to BLA and mostly consists of GABAergic neurons (McDonald, 1982) with morphological, physiological, and biochemical properties that resemble medium spiny neurons in the striatum (Martina et al., 1999; Schiess et al., 1999; Markram et al., 2004; ). CEA is further divided into lateral (CEl) and medial (CEm) parts, which serve different functions and have distinct connectivity (). In addition, the amygdala contains multiple intercalated cell masses (ITCs), which are thought to regulate the interconnectivity between the distinct amygdala subnuclei and also between the amygdala and extra-amygdala structures. ITCs are composed of GABAergic neurons () and are located along the borders of the BLA. Depending on the residing loci, ITCs are named as the lateral paracapsular (lITC), the dorsal (ITCd), and the ventral (ITCv) ITC (Figure 1). Several studies have demonstrated that the individual ITCs provide feedforward inhibition and control expression of fear responses (Royer et al., 1999; Marowsky et al., 2005).
FIGURE 1
Despite these well-defined amygdala circuits and connections, it has not been well-understood yet how fear memories are stored, processed, and extinguished particularly at the circuit level. This lack of understanding was mainly due to the absence of methodologies that allow temporal and spatial manipulations of select circuit components. However, the recent advent of optogenetics provides valuable tools for researchers to address these circuit level questions with unprecedented temporal and spatial specificities. By combining optogenetic tools with other experimental paradigms, such as in vitro and in vivo recordings, recent studies have confirmed and further substantiated that excitatory amygdala connections and dynamic changes in the synaptic strength can modulate various phases of fear memories. Furthermore, a number of studies provide evidence that inhibitory elements of amygdala circuits play major roles in defining and processing of fear engrams and fear memories. Herein, we provide an overview of these new findings that suggest the functional importance of amygdala inhibitory circuits in acquisition, expression, and extinction of fear memories.
NEURAL CIRCUITS THAT UNDERLIE FEAR MEMORIES
Fear conditioning is a behavioral paradigm that has been widely used to probe associative fear learning. During fear conditioning, an unconditioned stimulus (US), such as an electrical foot shock, is simultaneously presented with a neutral conditioned stimulus (CS), such as a tone or a light, to subjects. The subjects learn to predict aversive events and exhibit fear responses not just to the US, but also to the CS. Mechanically, sensory information encoding the CS and the US converges in LA, which results in long-term potentiation (LTP) at LA excitatory synapses (Rogan et al., 1997). This LTP enables the CS alone to elicit fear responses (freezing behavior) normally observed only when subjects confront threats (LeDoux, 2000). However, when the CS is presented repeatedly without the US, the ability to elicit fear responses is diminished. This phenomenon is called fear extinction (Maren and Quirk, 2004). Numerous studies have demonstrated that fear extinction does not actually erase the existing fear memories, but instead results from formation of de novo memories that suppress the behavioral expression of the previously learned fear (Rescorla, 2001; ).
Sensory information pertinent to the CS and the US is initially integrated and processed in LA. Thus, LA functions as the synaptic interface of the amygdala, receiving sensory signals from various sources such as thalamic and cortical inputs. Thalamic inputs usually deliver rapid but unprocessed information, whereas cortical inputs convey relatively delayed but processed information from visual, auditory, or somatosensory cortices (Li et al., 1996b; LeDoux, 2000). Although thalamic and cortical inputs are thought to convey different aspects of sensory information (unprocessed or processed, respectively), they reach same components in LA (Szinyei et al., 2000). That is, pyramidal neurons and local inhibitory neurons in LA receive signals from thalamic inputs as well as cortical inputs (Li et al., 1996b; Szinyei et al., 2000). Both thalamic and cortical inputs form feedforward inhibition onto pyramidal neurons through local inhibitory neurons (). Interestingly, cortical inputs are innervated to lITCs residing in the external capsule and in turn, lITC also provides feedforward inhibition onto LA pyramidal neurons (Marowsky et al., 2005). Thus, both lITC neurons and LA local inhibitory neurons participate in suppression of LTP in the temporal association cortex (TeA)–LA pathway (Morozov et al., 2011). Importantly, activity of local inhibitory neurons alone without that of lITC neurons was not sufficient to produce complete inhibition of LTP in the TeA–LA pathway (Morozov et al., 2011), suggesting the importance of lITC in modulating cortica inputs.
Following association and processing of CS and US signals in LA, the newly integrated information is transferred to BA, and then CEA. Finally, the neural activity of CEm determines fear responses. This LA–BA–CEA pathway is a major route for flow of sensory signals, leading to fear memories. A subset of BA neurons is then recruited based on the physiological characteristics of the transferred signals (; ). Approximately 14% of BA neurons respond to fear-inducing cues, which can be referred to as fear neurons (; ), although the exact contribution of these BA neurons to the fear behavior remains to be clarified. A subregion of medial prefrontal cortex (mPFC), the prelimbic cortex (PL), is also critical for expression of fear-related behavior (). CS-evoked unit activity in PL increases both during and following fear conditioning, but subsequently decreases after fear extinction (). Activity of PL neurons during CS presentation is thought to be originated from activity of BLA because the CS-evoked activity in PL is regulated by BLA (Sotres-Bayon et al., 2012). Notably, PL has reciprocal connections with the amygdala, especially with BA (Vertes, 2004; Likhtik et al., 2005; ). Hence, it is conceivable that PL would control fear expression by modulating activity of BA. Although it should be further clarified which pathways are responsible for serial activation of LA–BA–PL–BA–CEm, BA would stimulate CEm through interaction with PL, which results in fear responses (Pitkanen et al., 1997; Vertes, 2004; Likhtik et al., 2005).
Although sensory information related to fear appears to be primarily relayed via the LA–BA–CEA pathway described above, other pathways have been inferred based on BA pre-training lesion studies. In these experiments, fear acquisition is unaffected despite BA lesions prior to fear conditioning (; ; Nader et al., 2001). Therefore, other synaptic connections, such as the LA–CEl–CEm pathway that involves extensive inhibitory connectivity, seem to also contribute to fear memories (; ; Tye et al., 2011).
MODULATORY ROLES OF INHIBITORY CIRCUITS IN ACQUISITION AND EXPRESSION OF FEAR MEMORIES
The vast majority of published studies have focused on synaptic changes and plasticity of excitatory connections in the amygdala during fear conditioning in order to elucidate the neuronal substrates of emotional learning and memory. However, emerging evidence indicates that inhibitory circuits containing interneurons are critical components of neural networks that control neuronal activity and animal behavior. In the amygdala, inhibitory circuits play major roles in controlling the expression and extinction of fear memories (; Tye et al., 2011). The inhibitory elements in the amygdala circuits were initially thought to control neural activity simply by inhibiting excitatory transmission. However, the precise roles of the inhibitory circuits are much more complex and instructive than previously thought. As the major input station for the amygdala, LA receives synaptic inputs from a number of brain regions. Connections to LA projection neurons are basally suppressed by inhibitory circuits in the amygdala in normal conditions (Lang and Pare, 1998; ; Woodruff and Sah, 2007). However, if the organism is exposed to fearful situations, then inhibition is released and the resulting decrease in synaptic inhibition of LA projection neurons permits occurrence of LTP and associative learning (). Neither LTP nor acquisition of fear memories occurs without disinhibition (Li et al., 1996a; ; ). Inhibitory circuits in BLA are also involved in the shaping of fear memories. There are a number of synaptic inputs impinging onto LA projection neurons, and only the salient signals that are above a specific intensity should induce LTP and fear memories. The trivial noise signals should be disregarded with high fidelity. Tonic suppression derived from local inhibitory neurons helps the circuit to ignore these unimportant signals. Thus, the tonic effects of inhibitory neurons are essential for specific stimulation of LA projection neurons and encoding of precise memories. Several studies have supported active roles of inhibitory circuits by showing that specific fear memories are not formed in the absence of inhibitory components. For instance, deletion of presynaptic GABAB receptors from glutamatergic inputs projecting onto LA projection neurons facilitates non-associative homosynaptic LTP in the cortical pathway and results in fear generalization that is an important characteristics of anxiety disorders (Shaban et al., 2006). Likewise, animals that are deficient in the 65-kDa isozyme of glutamic acid decarboxylase (GAD65) or the GABAA receptor α1 subunit also exhibit fear generalization behavior (; Wiltgen et al., 2009). Thus, basal inhibitory circuits serve to increase the signal-to-noise ratio for salient inputs during fear conditioning and ultimately to enhance the specificity of neural activity toward the salient events.
INHIBITORY CIRCUITS RECRUITED FOR FEAR AND EXTINCTION MEMORIES
Inhibitory circuits are not only involved in tuning excitatory transmission, but are also active components of intra-amygdala fear pathways necessary for acquisition and extinction of fear memories. More specifically, inhibitory circuits control fear behavior during acquisition and expression of fear memories and construct new suppressive memories during fear extinction.
INHIBITORY CIRCUITS INVOLVED IN ACQUISITION AND EXPRESSION OF CONDITIONED FEAR
Besides adjusting strength of excitatory connections, inhibitory circuits are actively involved in acquisition of fear memories. Emerging evidence indicates that the inhibitory components of the amygdala play causal roles in the acquisition of fear memories (; Wilensky et al., 2006; Zimmerman et al., 2007). Inactivation of CEA impairs acquisition of fear memories, and overtraining can restore fear memories in the absence of BLA activity (Wilensky et al., 2006; Zimmerman et al., 2007; ). CEA receives direct projections from the auditory cortex and the thalamus (Ledoux et al., 1987; Turner and Herkenham, 1991; McDonald, 1998) and NMDAR-dependent LTP can be induced in CEA (Samson and Pare, 2005). Recent studies provide evidence that fear conditioning induces activity-dependent synaptic plasticity within CEl (; ; ). Interestingly, two distinct groups of CEl neurons exhibit opposite responses to CS presentations, especially after fear conditioning. CElon cells are activated and CEloff cells are inhibited when a CS is presented (; ; Figure 2A). Although the underlying molecular mechanisms and functional significance remain unknown, CElon and CEloff cells can also be distinguished by expression of a specific signaling molecule, protein kinase C-δ (PKC-δ). PKC-δ is expressed in CEloff cells but not in CElon cells (). Furthermore, activated CElon cells appear to suppress CEloff cells that normally lead to tonic inhibition of CEm neurons (Figure 2A). Thus, increased activity of CElon cells in response to a CS results in excitation of CEm neurons through disinhibition (). However, CEloff cells show only basal activity during fear extinction (), despite the reciprocal inhibitory connections of CElon/off cells (), suggesting that CEloff cells do not actively participate in fear extinction. Therefore, the LA–CEl–CEm amygdala circuits responsible for disinhibition may contribute to acquisition of fear memories (Figure 2A). LA also sends excitatory signals to ITCd neurons, which in turn inhibit CEl neurons (Pare and Duvarci, 2012). Moreover, ITCd sends projections to ITCv, which inhibits CEm neurons (Pare and Smith, 1993; Royer et al., 2000; Figure 2A). Supporting the inhibitory functionality from ITCd to ITCv, fear conditioning enhances expression of activity markers in ITCd, but not in ITCv (). Taken together, fear acquisition would involve several circuits that include multiple inhibitory components such as the LA–BA–CEm, LA–CEl–CEm, and LA–ITCd–ITCv–CEm pathways (Figure 2A). These various pathways may be necessary for providing modulatory interfaces that confer distinct features to fear responses depending on diverse circumstances.
FIGURE 2
INHIBITORY MEMORIES DURING FEAR EXTINCTION
When learned fear is repeatedly retrieved without presentation of US, the fear responses to CS rapidly decrease. The reduction of fear responses is attributable to formation of new suppressive memories, a process known as fear extinction (). After successful fear extinction, CS cues that previously induced fear responses will no longer cause alterations in neural activity at the circuit level. Intriguingly, extinction of fear memories displays several characteristics that differ from those of fear acquisition and expression. First, the extinguished fear memories tend to recover spontaneously over time (Rescorla, 2004). Second, renewal of fear memories can occur in new contexts (). Finally, fear responses to a CS can be reinstated simply by re-exposure to the US alone (Rescorla and Heth, 1975). These features provide substantial evidence that existing fear memories per se do not seem to be erased by fear extinction because removed memory cannot return, but instead, new memories that decouple the CS from the US are formed (Rescorla, 2001; ). Therefore, fear extinction is likely to recruit inhibitory circuits to suppress expression of the existing fear memories.
Conditioned stimulus-evoked unit activity in LA neurons increases during fear conditioning and returns to basal levels after fear extinction in a context-dependent manner (Quirk et al., 1995; ). Although we cannot fully exclude the possibility that this decreased LA neuronal activity may be due to depotentiation of thalamo-amygdala synapses by extinction training (), it would result from actions of inhibitory circuits that are newly recruited by the context signals. Hence, the newly recruited inhibitory circuits could then suppress fear-related physiological changes and behavior (Figure 2B). Importantly, extinction training does not quantitatively fully normalize the neuronal activity to the levels observed prior to fear conditioning. In fact, some LA neurons exhibit elevated activity that is resistant to fear extinction (Repa et al., 2001; ), and cue-dependent fear responses are not extinguished if BA is rendered inactivated during the extinction period (; Sierra-Mercado et al., 2011). Collectively, reductions in LA neuronal activity alone do not seem to be sufficient for expression of fear extinction memories. Decreases in LA neuronal activity may be consequence of extinction-induced activation of inhibitory circuits that project to and affect a select subset of LA neurons.
Recent studies revealed that BA neurons also participate in acquisition of fear extinction memories. A subset of BA neurons (~17%) exhibits selective increase in CS-evoked activity during fear extinction training (; ). Thus, they are referred to as extinction neurons that differ from BA fear neurons that show increased activity during fear conditioning, as described above (; ; Figure 2). The two classes of neurons display largely distinct spiking activity in response to a CS, and therefore may discriminate between extinguished and non-extinguished stimuli. In support of this notion, the extinction neurons have extra-amygdala connectivity that differs from the fear neurons. BA extinction neurons receive innervations from mPFC, possibly the infralimbic region (IL; Vertes, 2004; ; Figure 2B), a region that normally promotes fear extinction. Taken together, two populations of BA neurons seem to belong to different circuits, but this observation merits further investigation to elucidate exact intra-amygdala circuitry containing input or output connections of these two types of BA neurons.
Indeed, CS-evoked firing of IL neurons increases during fear extinction training, and selective stimulation of IL during training facilitate extinction of fear responses (Milad and Quirk, 2002; Vidal-Gonzalez et al., 2006). Importantly, inactivation of IL prior to extinction training impairs retention of extinction memories whereas it does not affect acquisition of fear memories within a session (Laurent and Westbrook, 2009; Sierra-Mercado et al., 2011). Therefore, burst firing of IL neurons during extinction learning and innervations to BA extinction neurons may contribute to retention and expression of extinction memories. As mentioned above, inactivation of either BA or IL during extinction training session impaired the formation of extinction memories, which represents the interplay between two regions necessary for fear extinction. Moreover, IL sends projections to multiple subnuclei of the amygdala including BLA, CEA, and ITC. More specifically, IL projections are targeted to ITCv but not ITCd. A recent study indicated that ITCv neurons directly inhibit the neural activity of CEm neurons, which is consistent with the staining experiment showing enhanced neural activity in ITCv neurons after extinction training (). ITCv receives augmented excitatory inputs from BA after extinction training (; Figure 2B). Notably, there are marked deficits in expression of extinction memories when ITCv is lesioned (Likhtik et al., 2008). These suggest that inhibitory neurons in ITCv are required for normal retention and expression of fear extinction memories, possibly through feedforward inhibition of CEA neurons. Collectively, it is fairly reasonable to speculate that fear extinction memories require augmented transmission from BA to ITCv and that IL modulates synaptic transmission by regulating both the ITCv and BA extinction neurons (Figure 2B). Although further studies are required to better understand extinction mechanisms, the key elements for fear extinction should include recruitment of ITCv circuits that directly inhibit CEm output neurons in addition to other previously proposed mechanisms such as depotentiation of LA synapses (), transitions from fear neurons to extinction neurons in BA (; ), dynamic activity of CElon neurons (), and enhanced activity of IL after extinction training (Milad and Quirk, 2002).
REGULATORY FACTOR-MEDIATED ALTERATIONS OF INHIBITORY CIRCUITS
Inhibitory connections and their strength are controlled in a temporal fashion by regulators such as biogenic amines and neuropeptides. Thus, the inhibitory components of amygdala circuits serve as an interface for modulation by these regulators, which would define the dynamic features of inhibitory circuits for processing sensory information.
BIOGENIC AMINE-MEDIATED CONTROL OF INHIBITORY CIRCUITS
A number of biogenic amines regulate fear responses by affecting inhibitory elements. Dopamine (DA) is a well-known biogenic amine that controls inhibitory circuits and fear responses. In fact, dopaminergic axons that target inhibitory interneurons release DA when animals are subjected to stressful situations, such as electric foot shock (; Yokoyama et al., 2005; ). At the circuit level, DA is intimately involved in gating synaptic plasticity and acquisition of fear memories (Rosenkranz and Grace, 2002; ). Released DA decreases inhibitory circuit-mediated suppression of BLA. In the thalamic pathway, DA reduces feedforward inhibition from local interneurons to LA projection neurons via activation of dopamine D2 receptors (D2Rs), which eventually allows for LTP induction at thalamo-amygdala synapses (). LA projection neurons also receive potent feedforward inhibition by lITC when cortical inputs are stimulated (Marowsky et al., 2005). Mechanistically, activation of dopamine D1 receptors (D1Rs) significantly reduces the cellular excitability of lITC neurons through opening of G protein-coupled inwardly rectifying potassium channels (GIRKs) and subsequent inhibition of GABA release from axon terminals (Figures and ). Thus, reduced feedforward inhibition from local LA interneurons and lITC GABAergic neurons enhances the activity of LA projection neurons and allows occurrence of LTP. Consistent with the gating effect of DA, blockade of DA receptors in the amygdala interferes with acquisition and expression of fear memories (; , ; ; ). Therefore, synaptic plasticity in BLA is gated and adjusted by amygdala inhibitory circuits and DA is critically involved in shaping the firing patterns of BLA neurons by acting on the inhibitory components. On the other hands, DA is able to directly increase the excitability of BLA pyramidal neurons and fast-spiking BLA interneurons, which further amplify salient signals over the specific threshold (). Therefore, DA released during fear conditioning also enhances the signal-to-noise ratio, which helps amygdala circuits determine meaningful information. Supporting this hypothesis, animals show generalized anxiety phenotypes after foot shock conditioning when activation of dopaminergic neurons in response to aversive stimuli is genetically attenuated (Zweifel et al., 2011). Overall, inhibitory neurons mediate effects of DA on fear memories, including the gating of synaptic plasticity and shaping of cellular firing patterns. These effects contribute to the formation of more precise fear memories.
Serotonin (5-HT), another major biogenic amine, is intimately involved in controlling fear memories. BLA receives dense serotonergic projections from the dorsal raphe nucleus and also expresses multiple subtypes of 5-HT receptors (Sadikot and Parent, 1990; Figure 3B). A majority of published studies show that 5-HT mediates inhibitory effects on fear responses, especially during the expression phase (; Li et al., 2006; Montezinho et al., 2010). At the cellular level, iontophoresis of 5-HT into LA inhibits excitation of LA projection neurons (Stutzmann et al., 1998). Thus, the inhibitory role of 5-HT is likely mediated through actions on local GABAergic neurons and/or inhibitory connections from ITC, as previously suggested (Stutzmann and LeDoux, 1999).
FIGURE 3
Norepinephrine is also important for processing sensory information related with fear memories. LA receives tonic release of norepinephrine from the locus coeruleus, and noxious stimuli such as foot shock result in the phasic release of norepinephrine (Quirarte et al., 1998; Tanaka et al., 2000; ). In fact, various subtypes of adrenergic receptors are present in BLA (Figure 3C), and infusion of norepinephrine into BLA promotes consolidation of fear memories (). However, inhibition of α1-subtypes adrenergic receptors in LA facilitates fear conditioning (Lazzaro et al., 2010), which suggests that each subtype of adrenergic receptors may play different roles for fear learning. The behavioral actions of norepinephrine may result from effects on inhibitory circuits, which allows for the occurrence of LTP. Indeed, norepinephrine reduces the excitability of local interneurons in LA and as a result, decreases GABAergic feedforward inhibition onto thalamic inputs (Tully et al., 2007). Taken together, these actions of norepinephrine permit LTP in the thalamic pathway (Tully et al., 2007).
NEUROPEPTIDE-MEDIATED CONTROL OF INHIBITORY CIRCUITS
Neuropeptides are involved in regulation of inhibitory circuits, but the underlying mechanisms are not fully understood. For instance, vasopressin and oxytocin affect fear responses in an opposite manner (; ; ; ; ). Vasopressin administrated into CEA increases the neural activity (Lu et al., 1997; ), which results in increased expression of fear responses (). However, enhanced expression of oxytocin decreases fear behavior (McCarthy et al., 1996). Despite the similarity on cellular effects (Raggenbass, 2001), their behavioral consequences were opposite. It could be explained from comprehension about circuits in CEA. That is, distinct population of CEl neurons expressing oxytocin receptors gives direct inhibition onto vasopressin receptor-expressing CEm neurons (). As a result, activation of oxytocin receptors in CEl neurons inhibits the activity of CEm neurons (Viviani et al., 2011; ). Thus, vasopressin in CEm increases fear expression and oxytocin in CEl produces the opposite effect (Lu et al., 1997; ; Viviani et al., 2011; ). Furthermore, oxytocin receptor expressing neurons suppressed only periaqueductal gray (PAG) projecting CEm neurons which is related to freezing behavior, but not the dorsal vagal complex (DVC) projecting neurons related to increasing heart rate (Viviani et al., 2011). It provided us a good example how action of neuropeptide onto complex inhibitory circuits could modulate behavior precisely and produce diverse behavioral responses.
Stressful conditions can alter animal behavior through facilitated release of neuropeptides into the amygdala. When animals undergo withdrawal from chronic alcohol administration, the corticotrophin-releasing factor (CRF) system is activated. Injection of a CRF antagonist into CEA reverses anxiety-like behavior that is mediated by amygdala circuits (Rassnick et al., 1993). By contrast, neuropeptide Y (NPY) in the amygdala exerts potent anxiolytic effects (). NPY receptors are highly enriched in CEA and BLA (Tasan et al., 2010), and anxiety-like behavior following ethanol withdrawal is decreased when NPY is virally expressed in CEA (Primeaux et al., 2006). Furthermore, infusion of NPY into the amygdala decreases expression of learned fear and enhances fear extinction (). Interestingly, although they produce largely opposite behavioral outcomes, the CRF and NPY systems appear to converge on inhibitory neurons in CEA (). Thus, it is fairly possible that CRF and NPY cause distinct behavioral effects by regulating the inhibitory neurons in the amygdala in opposite directions. Indeed, neuropeptide S (NPS) regulates inhibitory circuits and fear responses. When glutamatergic inputs to ITC are increased through activation of presynaptic NPS receptors, fear expression is reduced and fear extinction is promoted (). Collectively, these observations suggest that neuropeptides intimately control amygdala-mediated behavior by acting on inhibitory components of CEA.
Learned fear is modified by inhibitory circuits when the internal or external circumstances are changed. Various neuropeptides are released into CEA when animals are subjected to stressful conditions, and the inhibitory neurons express the receptors for these signaling molecules (; ). Indeed, neuropeptides are involved in subtle control of fear responses, especially expression of fear memories (). Fear behavior can be immediately elicited by the neural activity of CEm, which is controlled by CEl inhibitory neurons (Tye et al., 2011). Thus, it is conceivable that neuropeptides regulate fear expression indirectly by affecting the activity of the CEl neurons that inhibit CEm neurons, and also by directly acting on CEm neurons (). While the exact mechanisms remain to be determined, inhibitory circuits likely integrate neuropeptide signals in response to updated cues and in turn, modulate fear behavior.
CONCLUSION
In the past several years there have been tremendous advances in the understanding of the functional roles that the inhibitory circuits in the amygdala play during acquisition and expression of conditioned fear and fear extinction. However, the multiple cell types that comprise these circuits and the complex connections of various pathways did make it difficult to determine the precise cellular and molecular mechanisms and to define the functional consequences of the circuitry for behavioral phenotypes. Therefore, cell type-specific stimulation of different types of interneurons, through usage of Cre driver mouse lines as well as optogenetic tools, will facilitate elucidation of the mechanisms underlying fear memories. Nevertheless, most of the current understanding of inhibitory circuits is based on a working hypothesis that the functions of these circuits include controlling cellular excitability and modulating synaptic plasticity. However, emerging evidence suggests that inhibitory components play critical roles in acquisition and behavioral expression of fear-related information through active participation in both intra- and extra-amygdala fear pathways that are important for storage of new memories and extinction of existing memories. Future work will be necessary to further delineate the roles of inhibitory circuits and provide a clearer picture for how fear memory works.
Statements
Acknowledgments
This work was supported by grants of the Korean Ministry of Education, Science and Technology (MEST; 2010-0029402 and 2011-0007706) and the Korean National Institute of Health R & D program project (A092058).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Summary
Keywords
neural circuits, inhibitory neurons, amygdala, fear, extinction
Citation
Lee S, Kim S-J, Kwon O-B, Lee JH and Kim J-H (2013) Inhibitory networks of the amygdala for emotional memory. Front. Neural Circuits 7:129. doi: 10.3389/fncir.2013.00129
Received
12 June 2013
Accepted
17 July 2013
Published
01 August 2013
Volume
7 - 2013
Edited by
G. J. Augustine, Korea Institute of Science and Technology, South Korea
Reviewed by
Hye-Sun Kim, Seoul National University, South Korea; Craig Harrison Bailey, College of Physicians and Surgeons Columbia University, USA
Copyright
© Lee, Kim, Kwon, Lee and Kim.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Joung-Hun Kim, Department of Life Science, Pohang University of Science and Technology, Pohang, 790-784, South Korea e-mail: joungkim@postech.ac.kr
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