Li-Feng Yeh1†
Pin-Wu Liu- 1RIKEN Center for Brain Science, Saitama, Japan
- 2Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
- 3Graduate School of Medicine, Kyoto University, Kyoto, Japan
- 4Research Institute of Environmental Medicine, Nagoya University, Nagoya, Japan
The central amygdala (CeA) is crucial in integrating sensory and associative information to mediate adaptive responses to emotional stimuli. Recent advances in genetic techniques like optogenetics and chemogenetics have deepened our understanding of distinct neuronal populations within the CeA, particularly those involved in fear learning and memory consolidation. However, challenges remain due to overlapping genetic markers complicating neuron identification. Furthermore, a comprehensive understanding of molecularly defined cell types and their projection patterns, which are essential for elucidating functional roles, is still developing. Recent advancements in transcriptomics are starting to bridge these gaps, offering new insights into the functional dynamics of CeA neurons. In this review, we provide an overview of the expanding genetic markers for amygdala research, encompassing recent developments and current trends. We also discuss how novel transcriptomic approaches are redefining cell types in the CeA and setting the stage for comprehensive functional studies.
1 Introduction
The amygdaloid complex, a key component of the limbic system, is a heterogeneous and evolutionarily conserved structure situated deep within the temporal lobe of the brain. This complex consists of multiple nuclei (Swanson and Petrovich, 1998; Sah et al., 2003) and is crucial in processing emotional information (LeDoux, 2000; Johansen et al., 2011; Janak and Tye, 2015; Tovote et al., 2015). Its extensive connections with sensory, limbic, and cortical regions make it integral to emotional regulation, memory formation, and the generation of adaptive behavioral responses to stimuli in the environment (Ottersen and Ben-Ari, 1979; Ottersen, 1980, 1981; Romanski et al., 1993; McDonald, 1998; Pare et al., 2004). The amygdala’s role in emotion processing is highlighted by its ability to discern the salience and valence of experiences, including external stimuli and internal physiological states. This capacity extends across a broad spectrum of emotion-related behaviors, including fear, reward, stress, and social interactions (Ciocchi et al., 2010; Tye et al., 2011; Beyeler et al., 2016; Douglass et al., 2017; Kim et al., 2017; Li et al., 2017; Fenster et al., 2018; Grundemann et al., 2019; Hardaway et al., 2019; Pignatelli and Beyeler, 2019). Notably, the amygdala is linked to the formation and consolidation of emotional memories, influencing subsequent behavioral responses based on past encounters (Maren, 2001; Schafe et al., 2001; Maren and Quirk, 2004; Herry and Johansen, 2014).
The amygdaloid complex is typically divided into five major sections: (1) the basolateral amygdala (BLA), comprising the lateral amygdala (LA) and basal amygdala (BA); (2) the basomedial amygdala (BMA); (3) the central amygdala (CeA), which includes medial (CeM), lateral (CeL), and capsular (CeC) divisions; (4) the medial amygdala (MeA); and (5) the cortical amygdala (CoA). This subdivision is based on developmental, connectional, cytoarchitectonic, neurochemical, and functional studies spanning several decades (Swanson and Petrovich, 1998). A seminal study on mouse embryonic development (Puelles et al., 2000) showed that spatio-temporal expression patterns of genetic markers like Pax6, Emx1, and Dlx2 are key in defining the boundaries between amygdala nuclei. This research also indicated that the amygdala comprises a mix of cellular lineages from both pallial (cortical) and subpallial (subcortical) origins. The pallial portion, encompassing the BLA and CoA, exhibits a cortical-like structure predominantly composed of glutamatergic (excitatory) neurons. In contrast, the CeA neurons, originating from the subpallial region, show a striatal-like organization with a majority of GABAergic (inhibitory) neurons (Swanson and Petrovich, 1998; Sah et al., 2003; Figure 1A). The MeA, deriving from both ventral pallial and subpallial origins, presents a diverse neuronal population (Garcia-Lopez et al., 2008; Bupesh et al., 2011). Recent research underscores the functional diversity within the amygdala’s various nuclei, especially the BLA and CeA, in emotional responses related to fear and appetitive learning. Advanced technologies now enable researchers to dissect neural activities with precision, considering specific projections and cell types, thus offering a detailed understanding of amygdala functions.
Figure 1. Genetic markers and developmental origins in the amygdala of mice. (A) The critical genetic markers that reveal the developmental origins of the amygdala neurons. The majority of the principal neurons in the LA and anterior BLA originate from Dbx1+ neurons in the lateral and basal pallial units of embryonic mice brains. More Emx1+ neurons appear in the posterior BLA (BLAp), while the Dbx1+ and Emx1+ neurons are generally intermixed in the LA and BLA. The CeA neurons are marked by Dlx5, suggesting their striatal origin, and are distinct in lacking pallial markers. The Isl1+ neurons, predominantly found in the CeM, are derived from the ventral part of the lateral ganglionic eminence (vLGE). In contrast, the Pax6+ neurons, which are more prevalent in the CeC and CeL, originate from the dorsal part of the LGE (dLGE). (B) Prominent genetic markers in the BLA and the CeA of adult mice. Zfhx3 expression is enriched in the CeA, distinguishing it from adjacent brain structures. PKC-δ/Calcrl and CRF markers are mostly found in the CeL and CeC, while SOM neurons reside in the CeL and the CeM. Tac2 neurons are mostly present in the CeM, with some distribution in the CeL. Glutamatergic neurons in the LA and BLA are predominantly identified by Slc17a7 (vGlut1) and Slc17a6 (vGlut2) markers, with Slc17a7+Slc17a6+ double-positive neurons confined to the LA. Ddit4l and Myl4 expression is primarily observed in the LA. In contrast, marker genes such as Cplx1 and Lynx1 were generally located in the basal amygdala (BA), with minimal overlap with the Ddit4l+ and Myl4+ neurons. Fezf2 and Rspo2 expressing neurons are highly co-localized in the anterior part of the BLA, and these neurons have been implicated in a role in positive or negative emotional responses dependent on their projections.
Within the amygdaloid complex, the CeA stands out for its role in orchestrating emotional responses. The CeA acts as a crucial integration hub in amygdala circuitry, receiving inputs from sensory and associative regions of the brain and projecting to effector systems that govern physiological and behavioral reactions to emotional stimuli (Iwata et al., 1987; Hitchcock and Davis, 1991; Rizvi et al., 1991; Turner and Herkenham, 1991; Wilensky et al., 2006; Fadok et al., 2018). Recent advances in genetic techniques, like optogenetics and chemogenetics, have shed light on the cellular and molecular diversity within the CeA, revealing the specific roles of different cell types in emotional processing. These methods allow for the precise manipulation of anatomically or molecularly defined cell subtypes, offering insights into how such interventions impact behavior. This targeted approach has revealed the nuanced and sometimes contrasting behavioral outcomes resulting from the manipulation of neuronal subpopulations within the same regional circuitry, differentiated solely by their molecular profiles. This review aims to provide an overview of these cell types in the CeA, focusing on their responses to aversive situations and their contributions to emotional regulation.
2 Distinct neuronal populations in CeA
Central amygdala (CeA) neurons exhibit significant heterogeneity, a characteristic highlighted through the identification of cells expressing various distinct genetic and neurochemical markers (Cassell et al., 1986; Gafford and Ressler, 2016). Key markers include protein kinase C-δ (PKC-δ) (Haubensak et al., 2010), corticotropin-releasing factor (CRF) (Pitts et al., 2009; Sanford et al., 2017), calcitonin receptor-like (Calcrl) (Han et al., 2005), somatostatin (SOM) (Penzo et al., 2014), serotonin receptor 2a (Htr2a) (Isosaka et al., 2015), and tachykinin 2 (Tac2) (Andero et al., 2014), dopamine receptor D1/D2 (Drd1/Drd2) (Kim et al., 2017; Dilly et al., 2022), among others. These markers can be uniquely expressed in specific neuronal populations or co-expressed with other markers within the CeA (McCullough et al., 2018). Over the past two decades, advances in mouse genetic tools have enabled researchers to specifically manipulate and monitor the activity of these neuronal populations (Table 1). This has been particularly instrumental in studying their roles in emotion-related behaviors, such as fear/appetitive conditioning and various anxiety tests. This study primarily examines PKC-δ, SOM, CRF, and Tac2 neurons in the CeA, due to their extensive research background.
Table 1. Genetic tools to manipulate specific cell types of the CeA neurons.
2.1 PKC-δ neurons: gatekeepers of aversive learning
The PKC-δ neurons, which are enriched in the CeL, gate the expression of fear through tonic inhibition of the CeM (Haubensak et al., 2010). Activation of these neurons inhibits CeM output to the brain regions like the periaqueductal gray (PAG), which is critical for eliciting freezing behavior. Conversely, silencing PKC-δ neurons enhances freezing behavior, indicating their role in modulating fear responses. PKC-δ and Calcrl markers are strongly co-expressed in the CeA, particularly in its caudal part. These neurons have been recently identified as crucial for fear acquisition (Han et al., 2015; Yu et al., 2017). PKC-δ neurons respond to footshock and encode prediction errors during fear conditioning, and potentially provide this instructive signal to the BLA, which is essential for the synaptic plasticity that underlies aversive learning in BLA neurons (Yu et al., 2017). Calcrl neurons receive direct excitatory inputs from neurons in the parabrachial nucleus (PBN) that transmit nociceptive information, playing a significant role in driving aversive learning (Han et al., 2015; Sato et al., 2015). Overall, the PKC-δ and Calcrl co-expressing neurons are critical in the processing of fear responses to aversive stimuli.
2.2 SOM neurons: integral in fear memory and defensive responses
The SOM neurons, particularly those in the CeL, have also been implicated in fear memory acquisition and expression. These neurons largely do not overlap with PKC-δ neurons. Together, these two distinct populations make up over 80% of CeL neurons (Haubensak et al., 2010; Li et al., 2013). During fear conditioning, SOM-expressing neurons in the CeL undergo synaptic potentiation, and suppressing this potentiation impairs fear memory. On the other hand, activating SOM neurons can induce freezing behavior in naïve, freely moving mice, and the SOM neural activity is correlated with freezing level, suggesting a role in passive defensive responses (Li et al., 2013; Penzo et al., 2014, 2015). SOM neurons exert significant inhibition on other neurons within the CeL. They can control freezing behavior through local inhibitory interactions within the CeL, leading to the disinhibition of the CeM (Yu et al., 2016; Fadok et al., 2017). These observations strongly indicate that SOM neurons are a key component of the neural circuitry underlying the acquisition and expression of defensive responses (Moscarello and Penzo, 2022).
2.3 CRF neurons: modulators of defense and anxiety behaviors
The CRF neurons that are primarily localized in the CeL (Swanson et al., 1983; Fadok et al., 2017; Wolfe et al., 2019), play a key role in modulating defensive behaviors, discerning fearful stimuli, and influencing anxiety states in animals. Activating CRF neurons in the CeL induces active defensive behaviors, such as flight, in contrast to SOM neurons, which are involved in facilitating passive fear responses like freezing (Fadok et al., 2017). Nevertheless, a new study (McCullough et al., 2018) presents contrasting evidence of significant co-localization of CRF and SOM neurons in the mouse CeL, suggesting a more complex interaction than previously understood. This ambiguity may be clarified by novel transcriptomic techniques (see below) that provide deeper insights into the molecular intricacies of the CeA. Beyond their role in defensive behaviors, CRF neurons also exhibit synaptic plasticity following fear conditioning and selectively react to auditory cues linked to threats (Sanford et al., 2017). Their activation has been shown to amplify anxiety-like behaviors in behavioral tests such as the elevated plus-maze (Paretkar and Dimitrov, 2018; Mazzitelli et al., 2022), highlighting their significance in anxiety and stress responses (Asok et al., 2018). Exposure to predator odors notably increases CRF mRNA levels in the CeL, signaling a targeted reaction to innate fear stimuli (Asok et al., 2013). However, these neurons show less responsiveness to acute stressors, indicating a selective response mechanism to specific types of threats (Day et al., 1999).
2.4 Tac2 neurons: key players in fear memory consolidation
The Tac2 is highly expressed in the neurons in the CeM and to a lesser extent in the CeL, plays a critical role in fear memory consolidation, with Tac2 expression changing dynamically during the consolidation phase (Andero et al., 2014). An increase in Tac2 expression leads to enhanced consolidation of fear memory, while suppression of the Tac2 gene has the opposite effect. Optogenetic stimulation of Tac2 neurons during fear acquisition in transgenic mice leads to stronger fear memory consolidation, without altering immediate defensive behaviors like locomotion and freezing (Andero et al., 2016). The significant co-localization of Tac2 and CRF markers in CeL neurons (McCullough et al., 2018) raises questions about their distinct roles, particularly since CRF neuron activation induces flight responses while Tac2 neuron stimulation does not. Overall, these findings highlight Tac2 neurons’ significance in modulating fear memory consolidation.
2.5 Genetic marker conservation across mammals
The significance of the genetic markers identified in the rodent CeA extends beyond these species, revealing notable evolutionary conservation across mammals, and providing compelling insights into the broader applicability and relevance of rodent models in neuroscience research. A recent study delved into the gene expression patterns in the amygdala of humans, macaques, mice, and chickens (Yu et al., 2023), and found that inhibitory neurons, particularly those in the CeA, exhibit a high degree of evolutionary conservation. In contrast, the subnuclei enriched with excitatory neurons, such as the BLA, displayed more significant divergence across species. Further supporting this notion, transcriptional profiling in the CeA neurons of rhesus monkeys resonated with these findings (Kovner et al., 2020; Fudge et al., 2022). It revealed distinct PKC-δ, SOM, and CRF neuronal populations similar to those in mice. Moreover, the direct synaptic connections between these neurons in monkeys suggest a conserved microcircuit architecture. This conservation underscores the translational potential of findings from rodent studies to other mammals, including human beings.
In summary, we present the functions of several key neuronal cell types in the CeA, noting that their complex co-expression patterns can complicate the interpretation of findings from cell-type specific manipulations. While techniques for such specific manipulation and recording remain largely confined to rodent models, the observed cellular and circuitry similarities between mice and other mammals indicate the potential for broader implications of these findings.
3 Advanced transcriptomics in unraveling CeA neuronal properties and functions
The central amygdala (CeA) is pivotal in processing both sensory and physiological information, guiding motivated behaviors and learning in contexts of reward and threat. It governs a range of innate responses, including pain (Han et al., 2005), autonomic functions (Kapp et al., 1982; Iwata et al., 1987; LeDoux et al., 1988), food and water consumption (Douglass et al., 2017; Kim et al., 2017), predatory behavior (Han et al., 2017), and addiction (Roberto et al., 2021). The mechanisms enabling the CeA to handle such diverse functions and behaviors remain to be fully elucidated.
The use of marker genes has been a key strategy for identifying, observing, and manipulating specific groups of neurons within the CeA. These neurons, defined by such markers, have been shown to have unique contributions to a variety of behaviors and functions. However, the influence of CeA neurons on behavior extends beyond genetic markers to include their axonal projection patterns. Neurons with the same genetic markers may target multiple brain regions, influencing different behaviors. For instance, Fezf2-expressing neurons in the BLA project to different striatal areas, with each projection playing a distinct role in signaling either punishment or reward (Zhang et al., 2021). In the CeA, projections to the ventrolateral periaqueductal gray (vlPAG) have been found to control defensive responses and fear memory strength (Tovote et al., 2016; Ozawa et al., 2017), while projections to other hindbrain regions like the parabrachial nucleus (PBN) affect food intake (Douglass et al., 2017). These findings indicate that a comprehensive approach is necessary to understand the relationship between neural structures and functions. This approach should integrate genetic markers, anatomical and morphological characteristics, and connection patterns to accurately define cell types and map their corresponding functions (Zeng, 2022).
Recent studies have focused on creating a detailed cell-type taxonomy of the adult mouse amygdala, particularly the CeA (O’Leary et al., 2020, 2022; Dilly et al., 2022; Hochgerner et al., 2023; Lischinsky et al., 2023; Wang et al., 2023; Figure 1B). Utilizing single-cell RNA sequencing (scRNA-seq), these studies have categorized cell types in the CeA based on their molecular characteristics. Techniques such as in situ hybridization, morphological analysis, immunohistochemistry, and long-range projection mapping (including retrograde tracing) have been employed to further elucidate the projection patterns, neuronal morphology, and spatial distribution of these molecularly-defined cell types within the CeA. This approach has uncovered both previously known and unidentified cell types, particularly for the long-range projection neurons, within the CeA. The research uncovered a complex network of long-range axon projections, indicating that various brain regions receive inputs from several molecularly-defined cell types. Future research is necessary to ascertain whether these distinct molecular clusters, sharing the same projection targets, have specific functions. Interestingly, axon collateralization was predominantly observed in projections to hindbrain regions, which are associated with the expression of emotional behaviors. This suggests that certain CeA neurons may coordinate defensive/appetitive and autonomic responses by disseminating the animal’s emotional state as processed within the amygdala circuitry.
The recent study by Hochgerner et al. (2023) aimed to link specific cell types in the amygdala with their roles in fear learning and memory consolidation. They defined cell types using scRNA-seq and focused on how these cells react to fear learning. The research aimed to pinpoint the neuronal types involved in fear learning and analyze their transcriptional changes during memory consolidation and recall. They found that only a select group of neurons displayed transcriptional changes in response to fear learning and memory retrieval. Within this group, a smaller subset showed upregulation of immediate early genes (IEGs), which are indicative of engram cells (neurons integral to the persistent memory trace) (Josselyn and Tonegawa, 2020), supporting the theory that memory encoding involves a sparse engram (Josselyn and Frankland, 2018; Goode et al., 2020). The activated engram cells exhibited upregulated gene expression related to synaptic signaling, plasticity, and neurite outgrowth, highlighting their importance in neural plasticity. Moreover, the study uncovered new candidate genes responsive to fear learning, paving the way for a fresh look into the cellular and molecular mechanisms of fear learning. These findings significantly enhance our understanding of the molecular underpinnings of fear memory formation and retrieval.
4 Conclusion and future outlook
Recent advancements in the study of the central amygdala (CeA) have significantly deepened our understanding of the molecular and cellular diversity within this brain region. Using single-cell RNA sequencing (scRNA-seq) complemented by anatomical and histological methods, researchers have developed a detailed cell-type taxonomy of the adult mouse amygdala. A critical endeavor will be to delineate the functional roles of distinct molecular clusters within the CeA, especially those sharing common projection targets. This necessitates an integrated approach combining molecular characterization with functional analysis, potentially employing techniques like optogenetics and chemogenetics to manipulate specific neuron types within the CeA.
The discovery of new candidate genes engaging in fear learning opens avenues for probing deeper into the molecular mechanisms underpinning fear memory formation and consolidation. Exploring these genes could provide a fresh understanding of how emotions are processed in the amygdala. The knowledge gained from such research could be crucial for comprehending neuropsychiatric conditions like anxiety and post-traumatic stress disorder (PTSD).
While significant efforts have been made in mapping the transcriptional response of CeA neurons to fear learning, the broader behavioral implications of these findings require further exploration. Future studies should aim to correlate specific transcriptional changes with a range of emotional and behavioral outputs, for example, appetitive and social behaviors, thus providing a more holistic understanding of the amygdala’s function and reshaping our understanding of the neural basis of emotion and behavior.
Author contributions
L-FY: Conceptualization, Writing – original draft, Writing – review & editing. SZ: Writing – original draft, Writing – review & editing. P-WL: Conceptualization, Writing – original draft, Writing – review & editing.
Funding
The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
Acknowledgments
We thank T. J. McHugh for comments on the manuscript. P-WL was supported by Grant-in-Aid for JSPS Fellows 21F21384(22KF0163) from the MEXT, Japan, The Kao Foundation for Arts and Sciences, The Kobayashi Foundation, The Daiko Foundation, and The Hirose Foundation, and L-FY by The Kobayashi Foundation and The Hirose Foundation, and SZ by JST SPRING, Grant Number JPMJSP2108 and The Kobayashi Foundation.
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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Keywords: amygdala, cell types, transcriptomics, fear learning, memory
Citation: Yeh L-F, Zuo S and Liu P-W (2024) Molecular diversity and functional dynamics in the central amygdala. Front. Mol. Neurosci. 17:1364268. doi: 10.3389/fnmol.2024.1364268
Received: 02 January 2024; Accepted: 02 February 2024;
Published: 14 February 2024.
Edited by:
Tetsuya Takano, Japan Science and Technology Agency (JST), JapanReviewed by:
Divya D. A. Raj, Northwestern University, United StatesCopyright © 2024 Yeh, Zuo and Liu. 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) and the copyright owner(s) 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: Pin-Wu Liu, liu.pinwu.52n@kyoto-u.jp
†These authors have contributed equally to this work and share first authorship