Abstract
When interacting with their environment, animals must balance exploratory and defensive behavior to evaluate and respond to potential threats. The lateral septum (LS) is a structure in the ventral forebrain that calibrates the magnitude of behavioral responses to stress-related external stimuli, including the regulation of threat avoidance. The complex connectivity between the LS and other parts of the brain, together with its largely unexplored neuronal diversity, makes it difficult to understand how defined LS circuits control specific behaviors. Here, we describe a mouse model in which a population of neurons with a common developmental origin (Nkx2.1-lineage neurons) are absent from the LS. Using a combination of circuit tracing and behavioral analyses, we found that these neurons receive inputs from the perifornical area of the anterior hypothalamus (PeFAH) and are specifically activated in stressful contexts. Mice lacking Nkx2.1-lineage LS neurons display increased exploratory behavior even under stressful conditions. Our study extends the current knowledge about how defined neuronal populations within the LS can evaluate contextual information to select appropriate behavioral responses. This is a necessary step towards understanding the crucial role that the LS plays in neuropsychiatric conditions where defensive behavior is dysregulated, such as anxiety and aggression disorders.
INTRODUCTION
The septum is a structure located in the mammalian ventral forebrain, between the lateral ventricles. It is subdivided into medial and lateral nuclei, each with distinct connectivity patterns and functions. The lateral septum (LS) controls different aspects of affective and motivated behavior through its complex connections to and from multiple other brain areas1–4. The LS has been classically subdivided into three nuclei (dorsal [LSd], intermediate [LSi], and ventral [LSv]), whose specific connectivity patterns and role in behavioral control vary along the rostro-caudal axis of the septum2,3,5. The septum is populated by multiple molecularly distinct neuron subtypes, although the true extent of their diversity is still unknown2,6,7. To understand how the septum controls specific behavioral responses, it is necessary to study defined neuronal populations and their connectivity. Developmental lineage is often a good predictor of mature neuron identity, as neurons with shared developmental origins tend to share aspects of their circuitry and functional features7–11. Nkx2.1 is a transcription factor expressed during embryonic development in forebrain progenitors within the medial ganglionic eminence / preoptic area (MGE/PoA) and the septal eminence (SE); the latter proliferative area is distinguished as part of the developing septal complex by its expression of transcription factors of the Zic family12–14. Septal neurons within the Nkx2.1-lineage are derived primarily from progenitors located in the SE, and represent 10–30% of the total neuronal population in the mature septum10. Cholinergic Nkx2.1-lineage neurons in the medial septum are essential for normal learning and memory8, but the role of SE-derived neuronal populations in the lateral septum has not been studied yet. In a recent study, we generated a mouse line where Prdm16, a gene encoding a transcriptional regulator, was deleted from cells with a developmental history of expression of Nkx2.1. This led to a decrease in the number of interneurons derived from the medial ganglionic eminence (MGE) in the cerebral cortex and other brain areas such as the hippocampus and the nucleus accumbens15. Here we report an almost complete ablation of Nkx2.1-lineage neurons in the lateral, but not the medial, septum. The majority of the missing LS cells were Crhr2-expressing neurons; in line with this, we found that mutant mice lacked a specific set of axonal inputs to the LS positive for the neuropeptide urocortin-3. These axons originate from the perifornical area of the anterior hypothalamus (PeFAH) and normally form pericellular baskets onto LS Nkx2.1-lineage neurons. LS Crhr2-expressing cells drive stress-induced anxiety-like states and modulate threat responsivity16,17. We exposed mutant mice to a series of stress-inducing stimuli and found no evidence of general anxiety in mutant mice; rather, they exhibit increased preference for novel stimuli and exploratory behavior. Finally, we found that Nkx2.1-lineage neurons in the LSd are specifically activated by a stressful stimulus. Together, our data show that this population is responsive to stress, likely inhibiting exploratory drive in favor of defensive behavioral strategies when mice are under potential threat.
RESULTS
Deletion of Nkx2.1-lineage neurons in the lateral septum
Nkx2.1-lineage cells constitute a significant proportion of the medial and lateral septal nuclei7,10,11. Since newborn septal neurons express high levels of Prdm1610, we decided to examine the effect of Prdm16 deletion within the Nkx2.1 lineage15 in the septa of control (Nkx2.1Cre;Ai14, hereafter labeled as ‘WT’) and mutant (Nkx2.1Cre;Prdm16f/f;Ai14, labeled as ‘cKO’) mice (Figure 1A). We discovered an almost complete absence of Nkx2.1-lineage cells (which could be identified by their expression of the fluorescent reporter tdTomato), from the lateral septum of cKO animals (Figure 1B). The density of tdTomato+ cells revealed a consistent loss of this population across three different positions along the rostro-caudal axis of the septum (with decreases of 92.9%, 93.8% and 83.0% in sections I, II and III, respectively; Figures 1C,D; S1A). This loss could be observed in all three subnuclei within the lateral septum (LSd, dorsal; LSi, intermediate; and LSv, ventral; Figures 1B; S1B), while the medial septum was unaffected (Figure 1E). In corresponding coronal sections, the area of the septum was reduced in both male and female mutant mice, particularly in posterior regions (Figures 1F; S1D,E). Since there was no decrease in the overall density of septal cells (identified by immunofluorescence for Zic-family proteins10; Figure S1C), this size reduction likely implies that the loss of Nkx2.1-lineage cells is not compensated by any other cell lineages. Nkx2.1-lineage cells in the septum comprise both neurons and astrocytes10,18; to determine that the cell ablation phenotype is specific to neurons, we performed immunofluorescence staining for the astrocyte marker SOX9 (Figure S1F), and found no difference in astrocyte density between WT and cKO samples, either in the LS or in the MS, where the majority of Nkx2.1-lineage astrocytes reside7,10,18 (Figure S1G). Collectively, these results show that we have generated a genetic model wherein nearly all neurons with a history of Nkx2.1 expression are specifically ablated in the lateral septum. This model provides the means to explore the involvement of lineage-defined neurons in the complex connectivity between the LS with other brain structures1, and ultimately in the regulation of the innate behaviors controlled by those circuits2,3.
Reduced innervation of the lateral septum in the absence of Crhr2-expressing neurons
Based on the location and spatial distribution of Nkx2.1-lineage neurons in the mature LS, we hypothesized that they might overlap with a previously described population of neurons expressing the type 2 corticotropin-releasing hormone receptor, Crhr216,17,19. We performed in situ hybridization for Crhr2 and found an almost complete depletion of this mRNA throughout the LS of cKO mice (Figure 2A). We found that Crhr2-expressing cells were largely confined to the tdTomato+ Nkx2.1-lineage (Figure 2B), providing the first direct evidence that their developmental origin is the septal eminence10. The lateral septum is densely innervated by axons positive for urocortin-3 (UCN-3), a neuropeptide within the corticotropin-releasing factor family with high affinity for the CRHR2 receptor20,21. We reasoned that the absence of Crhr2-expressing neurons in the LS of cKO mice could result in altered distribution of axonal terminals containing UCN-3. As a first step to address potential circuit disruptions in cKO mice, we performed immunofluorescence staining for UCN-3 (Figure 2C). UCN-3 terminals densely innervated the LS of WT brains, forming perineuronal baskets around the somata of tdTomato+ neurons throughout all LS subnuclei (Figures 2D,E; S2A), confirming the specificity of these inputs to Nkx2.1-lineage cells. UCN-3 terminals were largely absent from the LS of cKO mice (Figure 2C), and the rarely observed UCN-3+ baskets in these samples were not specific to the few remaining Nkx2.1-lineage cell (Figure 2D,E). We found a consistently reduced innervation in cKO samples, both in terms of fluorescence intensity (Figure 2F) and density of UCN-3 baskets (Figure 2G). This was the case for the three rostro-caudal positions that we analyzed, except for the LSv of the most rostral section (Figure S2B). We validated this observation using Enkephalin (Enk), another neuropeptide detected in axonal terminals throughout the LS and highly overlapping with UCN-36,22. We compared immunofluorescence staining for Enk in WT and cKO brains (Figure S2C,D), finding a decrease in cKO samples that paralleled our observations for UCN-3 (Figure S2E,F). These concurrent observations provide compelling evidence of disrupted innervation of the lateral septum of cKO mice.
PeFAH to LS inputs are lost in cKO mice
We used monosynaptic retrograde circuit tracing to identify circuits specifically targeting Nkx2.1-lineage LS neurons and to better understand how septal connectivity might be disrupted in cKO brains. We performed stereotaxic injections using a combination of adeno-associated viruses and rabies viruses, enabling the labeling of neurons synapsing onto Cre-expressing cells (Figure 3A). Since Nkx2.1 expression persists in the adult septum23, we injected these viruses into the LS of Nkx2.1-Cre mice (Figure S3A). Subsequent analyses revealed the anatomical sources of synaptic inputs onto Nkx2.1-lineage neurons (summarized in Figure 3B). We detected labeled neurons in numerous brain regions previously described as the source of axonal terminals located in the LS5 (Figure 3C–F). Many of these inputs came from the septal complex itself (both LS and MS/DBB) or from the hippocampus (especially areas CA1 in its most rostro-dorsal aspects, and CA3/CA1 in more caudo-ventral locations; Figure 3E,F). We also noted a smaller yet consistent proportion originating from other parts of the basal forebrain, including the hypothalamus (Figure 3B). Of these, we were particularly interested in the perifornical area of the anterior hypothalamus (PeFAH; Figure 3D). Previous studies have identified axonal terminals containing UCN-3, Enk, or both neuropeptides in the LS, tracing their origin to neurons located in the PeFAH5,22,24–30. Since the afferents missing from the LS of cKO mice displayed a high overlap between UCN-3 and Enk signals (Figure S2D), they were likely to originate from this region. To verify this, we injected a retrograde circuit tracer (CTB-647, cholera toxin subunit beta conjugated with the fluorophore Alexa 647) into the LS of WT and cKO mice (Figure 3G). We identified retrogradely labeled neuronal cell bodies in the PeFAH of WT mice (Figure 3H), but not in cKO samples (Figure 3I). Other regions of the brain, such as the CA3 region of the hippocampus, were labeled by this technique in both genotypes (Figure S3B,C), pointing to a selective ablation of the PeFAH>LS circuit in mutant mice.
Nkx2.1-lineage neurons are activated by acute restraint stress
Previous research has shown that Crhr2-expressing LS neurons, which largely overlap with the Nkx2.1 lineage (Figure 2A,B), modulate behavioral responses to threatening stimuli when activated, producing an anxiety-like state when mice are exposed to persistent stress16,17. We decided to test whether an aversive stimulus would cause direct functional activation of this population. For this, we submitted WT and cKO mice to 30 minutes of forced restraint and analyzed the activation of neurons in the LS using immunofluorescence staining for c-Fos as a readout (Figure 4A). The lateral septum of animals submitted to forced restraint displayed numerous c-Fos+ cells, in both WT and cKO samples (Figure 4B–D). We quantified the density of c-Fos+ neurons throughout the LS along the dorsolateral axis, and found a robust increase in experimental animals, compared to the baseline in untreated mice (Figures 4D, S4A,B). As expected, the proportion of c-Fos+ cells belonging to the Nkx2.1 lineage (i.e., tdTomato+) was consistently higher in WT than cKO brains in all LS subnuclei (Figures 4C, S4C). The proportion of Nkx2.1-lineage cells within the c-Fos+ population was significantly higher in animals subjected to forced restraint than in untreated controls (Figure 4E), even in cKO animals, where the overall proportion of tdTomato+ cells was much lower (Figure S4D). This increased proportion indicates that anxiogenic stimuli specifically activate Nkx2.1-lineage neurons in the lateral septum, consistent with the pattern of c-Fos staining in previous studies where animals were subjected to various anxiety-inducing paradigms31,32. As a result of the ablation of this lineage, we observed a statistically significant reduction in the density of c-Fos+ neurons specifically in the LSd (Figure 4F), but not in the LSi or LSv of cKOs compared to WT (Figure S4E). These results demonstrate that a stressful stimulus activates LS Nkx2.1-lineage neurons, prompting us to investigate the behavioral consequences of deleting this population in cKO mice.
Increased exploratory drive in cKO mice
We next subjected control and mutant animals to a series of behavioral tests designed to assess general anxiety-like behaviors in mice mediated at least partially by the LS16,33 (Figure S5A–G). Our results did not indicate a heightened or decreased anxiety status in cKO mice: we only observed significant differences between genotypes in the light-dark box and novel object paradigms: male cKO mice spent more time in the dark chamber in the former (Figure S5B), and more time exploring the novel object in the latter (Figure S5D). To compare the response of WT and cKO mice as they were faced with a more salient and aversive stimulus, we chose to perform a predator odor test, exposing mice to the smell of TMT (2,3,5-trimethyl-3-thiazoline), a component of fox odor that triggers an innate and strongly aversive response mediated by the lateral septum32,34,35. Mice were placed in an arena equipped with an air inlet, and the experiment consisted of two phases: an initial 15-minute habituation phase (‘Blank phase’), similar to an open-field test, in which the arena was filled with air carrying a neutral odor. This was followed by a subsequent 15-minute test phase, during which the air in the arena contained the smell of TMT (‘TMT phase’) (Figure 5A). The behavior of mice throughout both phases was recorded with a depth sensor camera located above the center of the arena. Mice of both genotypes and sexes spent time exploring the novel stimulus (i.e., the air flow from the inlet) during the Blank phase, while they tended to move away from it during the TMT phase, as shown in the corresponding occupancy plots (Figure 5B,C). Interestingly, cKO mice continued to explore the air inlet during the TMT phase for longer than WT animals. This was reflected in the subtraction of Blank phase from TMT phase occupancy heatmaps (Figure 5B), but was only significantly different in females, which had a higher baseline exploratory drive towards the inlet than males (Figure 5C). This suggests that, within this behavioral paradigm, novelty-triggered exploration can override anxiety-induced aversion in female mutant mice. To further analyze behavioral differences between groups, we used MoSeq, an unsupervised automated behavior analysis pipeline34. This method detects sub-second behavioral motifs (or ‘syllables’) and quantifies their usage, facilitating unbiased comparisons across conditions to guide detailed analyses of behavior34–36. We observed certain emerging patterns when comparing the usage of each syllable in Blank vs. TMT phases within each genotype and sex. Syllables associated with ambulatory and/or exploratory behaviors (such as darting or rearing) were comparatively enriched during the Blank phase, while those related to stationary behavior (such as pausing or grooming) were used more often during the TMT phase (Figure S5H–K). This was consistent for both sexes and genotypes, and reflected our observations outlined above regarding the typical behavior that mice displayed during this experiment. We also compared syllable usage between WT and cKO mice in both the Blank and TMT phases, to assess the behavioral repertoire of each genotype in the absence and presence of a threatening stimulus. During the Blank phase, female WT mice displayed heightened vigilance, with increased frequencies of behavioral motifs such as jumping (syllable 26) and quick rearing (syllable 33). Conversely, female cKO animals differentially exhibited behaviors such as post-rearing ambulation (syllable 13) and prolonged, high rears (syllable 25), reflective of exploration (Figure 5D). In the TMT phase, animals of either genotype tended to use similar syllables differentially, suggesting that the heightened state of alert vs. exploration is consistent when comparing WT and cKO mice, respectively (Figure 5E). Male mice, despite their similarly strong response to TMT (Figure S5J,K), showed much more subtle differences in syllable usage between WT and cKO animals (Figure S5L,M). Taken together, the results from these experiments show that, while animals of both genotypes exhibit threat avoidance behavior, cKO mice, especially females, display an increased exploratory drive, even when faced with a salient stressor.
DISCUSSION
The lateral septum plays a central role in the regulation of numerous emotional and motivational behavioral states1–3. However, attributing particular aspects of behavioral control to distinct LS neuronal subpopulations has been challenging due to the incomplete understanding of LS neuronal diversity. Recent studies have focused on several molecularly defined groups of LS neurons to establish their involvement in social behavior37,38 or context-specific defensive responses16,17,39,40. Our research complements these efforts, using a mouse model where Crhr2-expressing Nkx2.1-lineage neurons are absent from the lateral septum to assess the role of this subpopulation in the control of innate behavioral responses to stress-related stimuli. In line with previous research in the MS, we show that developmental origin is a strong predictor of septal neuron identity, and that lineage-based ablation of defined neuronal populations provides a valuable tool to test their function in the mature septum8,11.
Deletion of Prdm16 in Nkx2.1-expressing progenitors leads to the loss of approximately 30% of cortical interneurons derived from the MGE/PoA, whose function is partially compensated by other developmental lineages15. By contrast, septal eminence-derived Nkx2.1-lineage neurons in the LS appear to be especially susceptible to the loss of Prdm16, since it results in their almost complete ablation (Figures 1, S1). This is accompanied by a decrease in the size of the septum (Figures 1F, S1D), suggesting that other progenitor lineages are unable to compensate by increasing neuronal output or enhancing survival to replace the lost LS Nkx2.1-lineage neurons. However, it is possible that other neuron types might be rewired in cKO brains, participating in new circuits and potentially exerting some degree of functional compensation for the missing the Nkx2.1 population. Future research establishing direct comparisons between both genotypes and refining the existing connectivity maps of the LS will be necessary to address this and gain a better understanding of the results of the behavioral tests we conducted.
In the MGE/PoA, expression of Prdm16 is confined to progenitors, where it controls their proliferative capacity15. In the developing septum, Prdm16 expression is sustained in postmitotic neurons10,41, potentially reflecting a specific need for this gene in the survival of septal neurons. The Nkx2.1-lineage in the LS is largely derived from the septal eminence, which produces sequential cohorts of neurons with diverse morphologies and anatomical locations over the neurogenic period10. This suggests that this lineage is composed of various neuron subtypes with distinct connectivity patterns and mature functions2. Besides their common developmental origin, mature Nkx2.1-lineage neurons share widespread expression of Crhr2, which in turn is largely confined to septal eminence-derived cells (Figure 2). The functional organization of cortical circuits depends heavily on the generation of diverse cell types that retain certain shared features based on their developmental origins42. Like the cortex, the lateral septum is composed of diverse cell types derived from multiple progenitor domains7,10,11. The confluence of different developmental lineages within any given brain area is likely to be an evolutionary mechanism to refine and/or expand its circuitry and behavioral control. In the context of the Nkx2.1-lineage in the LS, future research should address the gene regulatory networks guiding the specification of neurons derived from the septal eminence, with special focus on the potential interplay between Nkx2.1 and Prdm16.
We used a forced restraint assay to confirm the activation of LS Nkx2.1-lineage neurons as mice are exposed to stressful stimuli. As expected, we found a robust and consistent increase in the density of c-Fos+ neurons in the lateral septum of restrained mice30,43–45, which was lower in cKO mice, particularly in the LSd. The proportion of activated Nkx2.1-lineage neurons was approximately doubled in restrained animals compared to controls, further confirming the involvement of this population in stress responses (Figures 4, S4). Acute restraint stress also activates PeFAH Ucn-3+30 and AHN45 neuronal populations, supporting the involvement of the PeFAH>LS>AHN circuit in response to anxiogenic stimuli. This circuit appears to be necessary to maintain the balance between defensive/avoidance behavior and exploratory drive, in line with the proven role of several other LS neuronal subpopulations and their circuitry in context-dependent risk assessment16,17,39,40,43,46.
Currently, the lateral septum is regarded as a center that calibrates the intensity of behavioral responses to external stimuli, depending on context and on how and which of the complex intraseptal circuits are recruited2,3. The mouse model we describe here presents an opportunity to further understand how a subgroup of LS neurons regulates specific aspects of behavior. Based on a previous study that described the activity of Crhr2-expressing neurons as anxiogenic16, we hypothesized that cKO mice, as they lack this population16, might display lower levels of anxiety-related behaviors. However, we did not find clear differences in general anxiety levels between WT and cKO mice using classic behavioral paradigms (Figure S5), possibly due to the lack of a persistent stressor. The only significant results in these tests appear contradictory: more time spent on the dark chamber in the light-dark box test typically denotes heightened anxiety, while more time exploring the novel object in the corresponding test is regarded as an indicator of reduced anxiety. However, these observations can be reconciled if we consider that mice were placed inside the light compartment of the light-dark box test during their daytime hours (see Methods). Both observed behaviors can be interpreted as an increase in the exploratory drive of cKO animals when faced with a novel stimulus, preferring the unfamiliar dark environment during daytime and showing a pronounced interest in a novel physical object within a familiar setting. The observed lack of preference for spatial novelty, as seen in the Y-maze test (Figure S5G), could reflect that this increase in exploratory behavior is dependent on the saliency of the stimulus. Using a different experimental paradigm, we observed an increased exploratory drive in cKO mice, reflected both in the greater amount of time they spent around the odor inlet and in their higher usage of exploration-related behavioral ‘syllables’ as revealed by MoSeq (Figures 5, S5). This effect was particularly clear in female mice, as opposed to the anxiety-related experiments, where we only observed significant results in male animals. This could be due to the increased variability in the exploratory behavior of individual male mice, which might obscure our MoSeq analyses in this specific context47. Another important consideration is the loss of other forebrain Nkx2.1-lineage neurons, including about 30% of cortical interneurons, in cKO mice15. Combined with the known role of cortico-septal connections in the regulation of certain behaviors17,48, this raises the possibility that part of the behavioral phenotype we observed in cKO animals could be due to circuit disruptions in other parts of the brain beyond the LS. Future experiments directly measuring and/or manipulating the activity of LS Nkx2.1-lineage neurons will be necessary to refine our knowledge about their involvement in maintaining the balance between threat avoidance and novelty seeking.
The lateral septum has been implicated in novelty-seeking behaviors in the past, mainly in the context of social novelty and in relation to its connectivity to other brain areas, such as the amygdala, prefrontal cortex and hypothalamus48–50. The disrupted connectivity that we observed, particularly the defective PeFAH>LS circuitry (Figures 3, S3), is one likely contributor to the increased exploratory drive of cKO mice. PeFAH UCN-3 neurons are activated when mice engage in novelty exploration51, while a neighboring GABAergic neuron population in the anterior hypothalamic nucleus (AHN) is activated during behavioral avoidance in anxiogenic contexts, including novel object approach and exposure to fox urine smell52. This population receives LS inputs, opening the possibility that Nkx2.1-lineage neurons are part of a PeFAH>LS>AHN circuit that could be responsible for risk assessment under stressful circumstances. The absence of PeFAH inputs to the LS in cKO animals would result in an impairment of long-range LS>AHN inhibition, either directly or through the complex intraseptal inhibitory sub-circuitry2, leading to a release of behavioral avoidance and increased exploratory drive. This possibility is supported by evidence of Crhr2-expressing LS neuron efferent connections to the AHN16,17. In addition, connectivity between LS and PeFAH is bidirectional27,29,30, although the molecular identity of LS neurons projecting to PeFAH is not known. Anterograde circuit tracing experiments from LS Crhr2-expressing neurons label processes in and around the PeFAH16,17, suggesting that this population might form a direct reciprocal circuit with PeFAH UCN-3 neurons. Further experiments will be necessary to establish the exact functional roles of these connections, and investigate any possible developmental rewiring of UCN-3 neuron projections.
Taken together, our results fit with the current view of the lateral septum as a key component in the calibration of behavioral responses based on the motivational state and the external context of the animal2,3. Our data provides new insight into the connectivity and behavioral significance of the Nkx2.1-lineage/Crhr2-expressing LS neuronal population, establishing a novel model where it is almost entirely ablated. Our study highlights how understanding the developmental origin of different neuronal subtypes in the lateral septum can be an invaluable step towards understanding their mature identity and function.
METHODS
EXPERIMENTAL MODEL AND SUBJECT DETAILS
All animal procedures conducted in this study followed experimental protocols approved by the Institutional Animal Care and Use Committees of Harvard Medical School (HMS) and the University of California, San Francisco (UCSF). Mouse strains mentioned in the main text are listed in the Key Resources table. Mouse housing and husbandry were performed in accordance with the standards of the Harvard Medical School Center of Comparative Medicine (HCCM) at HMS, and the Laboratory Animal Resource Center (LARC) at UCSF. Mice were group housed in a 12 h light/dark cycle, with access to food and water ad libitum. Samples were obtained at the ages indicated in the Figure Legends and throughout the text. Results reported include animals of both sexes, balanced equally whenever possible, except where otherwise indicated.
REAGENT or RESOURCE SOURCE IDENTIFIER | ||
---|---|---|
Antibodies | ||
Mouse monoclonal anti-Leu-Enkephalin | Abcam | Cat # ab150346 |
Rabbit polyclonal anti-c-Fos | EnCor | Cat # RPCA-c-FOS |
Chicken polyclonal anti-GFP | Aves | Cat # GFP-1020 |
Mouse monoclonal anti-NeuN | Millipore | Cat # MAB377 |
Rabbit polyclonal anti-RFP | Rockland | Cat # 600-401-379 |
Goat polyclonal anti-Sox9 | RnD | Cat # AF3075 |
Rabbit polyclonal anti-Urocortin-3 | Cosmo Bio | Cat # YII-Y364-EX |
Rabbit polyclonal anti-ZIC | Segal Lab, DFCI57 | N/A |
Donkey polyclonal anti-goat Alexa 488 | Thermo Fisher | Cat # A11055 |
Donkey polyclonal anti-rabbit 546 | Thermo Fisher | Cat # A10040 |
Goat polyclonal anti-chicken Alexa 488 | Thermo Fisher | Cat # A11039 |
Goat polyclonal anti-mouse Alexa 488 | Thermo Fisher | Cat # A11001 |
Goat polyclonal anti-rabbit Alexa 488 | Thermo Fisher | Cat # A11008 |
Goat polyclonal anti-rabbit Alexa 546 | Thermo Fisher | Cat # A11010 |
Goat polyclonal anti-rat Alexa 647 | Thermo Fisher | Cat # A21247 |
Experimental Models: Organisms/Strains | ||
Mouse: B6.Cg-Gt(ROSA)26Sortm14(CAG-tdTomato)Hze/J (Ai 14) | Jackson Laboratory | Stock no. 007914 |
Mouse: C57BL/6J-Tg(Nkx2-1-cre)2Sand/J (Nkx2.1-Cre) | Jackson Laboratory | Stock no. 008661 |
Mouse: B6.129-Prdm16tm11Brsp/J (Prdm16f/f) | Jackson Laboratory | Stock no. 024992 |
Bacterial and Virus Strains | ||
AAV8-hSyn-FLEX-TVA-P2A-eGFP-2A-oG | Salk Institute | Addgene 85225 |
EnvA G-Deleted Rabies-mCherry | Salk Institute | Addgene 32636 |
Oligonucleotides | ||
RNAscope probe for Crhr2 | ACD | Cat # 413201 |
Software and Algorithms | ||
Fiji 2.9.0/1.54e | Schindelin et al. 201258 | https://fiji.sc |
Prism 9 | GraphPad |
METHOD DETAILS
Tissue processing for histology
Mice were transcardially perfused with PBS followed by 4 % paraformaldehyde (PFA) in 120 mM phosphate buffer; their brains were dissected out and post-fixed in 4 % PFA overnight at 4°C. Brains were sectioned into 50–100 μm sections on a vibratome and stored at −20°C in freezing buffer (30 % ethylene glycol, 28 % sucrose in 0.1 M sodium phosphate buffer), or at 4°C in PBS with 0.05 % sodium azide.
Immunofluorescence
Floating vibratome sections were permeabilized with 0.5 % Triton X-100 in PBS for 1–2 h, then blocked with blocking buffer (10 % goat serum, 0.1 % Triton X-100 in PBS) for 1–2 h at room temperature. They were then incubated for 24–72 h, at 4°C, with primary antibodies diluted in blocking buffer. The samples were washed three times (10–30 min/wash) with PBS, counterstained with DAPI (4’,6-diamidino-phenylindole) for 45 min (both steps at room temperature), and incubated with secondary antibodies diluted in blocking buffer for 2 h at room temperature or overnight at 4°C. They were then washed (three 10–30 min washes) with PBS, and mounted on microscope slides with ProLong Gold Antifade Mountant.
Fluorescent in situ hybridization
50-μm sections were placed on slides and submitted to the RNAscope protocol (Advanced Cell Diagnostics), following the manufacturers’ instructions with minor modifications. All RNAscope probes (as listed in the Key Resources table) were purchased from ACD.
Microscopy and image analysis
Images were acquired using either a Leica Stellaris laser point scanning confocal microscope or a Leica DM5500B widefield microscope. 10x, 20x and 40x objectives were used, and the parameters of image acquisition (laser intensity, speed, resolution, averaging, zoom, z-stack, etc.) were adjusted for each set of samples. Images were further analyzed using ImageJ, both in its native and Fiji distributions, as described below. Brightness and contrast were adjusted as necessary for visualization; the source images were kept unmodified.
Cell quantification.
All cell type quantifications were done with the CellCounter tool in ImageJ/Fiji. All cells positive for the corresponding marker(s) within the dorsal, intermediate and ventral nuclei of the lateral septum (LSd, LSi, and LSv, respectively), as well as in the medial septal nucleus (MS) in Figure 1E, were counted. The rostrocaudal locations labeled as ‘I’, ‘II’, and ‘III’ throughout the manuscript correspond approximately to Bregma +0.75, +0.5 and +0.25, respectively.
Septum size measurement.
For Figures 1F and S1D, 50- to 70-μm vibratome-sliced coronal sections corresponding to rostro-caudal sections I-III were measured. All sections had been subjected to immunofluorescence staining for other figures. The total area of the section and the area of the septum (defined as the part dorsal to a straight line drawn between the bottom corners of both lateral ventricles) were calculated in Fiji after manually tracing them in the DAPI channel. The average proportion of septum/total section area of WT brains was used to normalize the measurements.
Fluorescence intensity quantification.
For Figures 2F, S2B and S2E, the mean fluorescence intensity was calculated across the entirety of each area analyzed, using the ‘Measure’ tool in ImageJ, and then normalized by the background fluorescence level, which was calculated as the mean intensity of a 50 × 50 μm square located within the same area that presented no obvious urocortin-3 (Figures 2F, S2B) or enkephalin (Figure S2E) staining.
Perineuronal basket quantification.
For Figures 2E, 2G and S2F, baskets were only quantified as such when the signal consistently surrounded at least 50 % of the perimeter of a neuron with visible DAPI counterstaining within the presumed soma. Examples are highlighted in Figure 2D.
Stereotaxic injections
All surgical procedures were performed under aseptic conditions and with appropriate analgesic treatment. Mice (2–6 months old) were anesthetized with isoflurane and placed on a stereotaxic apparatus (Kopf), while their temperature was maintained with a heating pad, and their eyes protected from drying with ophthalmic ointment. After hair removal and disinfection, an incision was made on the scalp to expose the cranium, which was perforated with a drill prior to injection. The coordinates used for injections were adjusted around a standard LSi target, set at AP +0.7 mm, ML ±0.47 mm, and DV −3.3 mm. Glass capillaries were front-filled with either virus or dye tracer (see below) and inserted into the brain tissue. After 5 minutes, the target volume of injection was delivered at a rate of 25 nl/s, using a nanoliter injector (WPI). The capillary was slowly drawn back 10 minutes after the injection. The incision was sutured, and mice were allowed to recover partially from anesthesia before being returned to a clean home cage. Their recovery post-surgery was monitored for a minimum of three days.
Viral injections.
For monosynaptic retrograde labeling of inputs onto Nkx2.1-lineage neurons (Figures 3A–F, 50–150 nl of a helper virus (AAV8-hSyn-FLEX-TVA-P2A-eGFP-2A-oG, Salk Institute Viral Vector Core) were injected into the LS of Nkx2.1 Cre mice, followed 2–3 weeks later by 50 nl of a rabiesvirus (EnvA G-deleted Rabies-mCherry, Salk Institute Viral Vector Core). Mice were sacrificed 5–7 days after the second surgery.
Dye injections.
For retrograde labeling of WT and cKO mice (Figures 3G–I, S3B,C), 50–150 nl of cholera toxin subunit B conjugated with Alexa Fluor 647 were injected into the LS. Mice were sacrificed 5–7 days after the injection.
Behavior
Anxiety-related tests
A series of tests were carried out to assess general anxiety-like behavior in WT vs. cKO mice. They were performed as described below, in the order laid out in Figure S5A: after an initial 2-week period of acclimation to the facilities of the Mouse Behavior Core at Harvard Medical School, mice were subjected to the light-dark box, open field and novel object tests, with one day in between tests; after 5 days to ten days, they were subjected to the elevated plus-maze and social interaction tests, with one day between both tests and another between the habituation and test portions of the second one; finally, after another period of one week to ten days, they were subjected to the Y-maze test. Experiments were conducted in three separate batches of 2–6 months old animals including WT, cKO, and heterozygote controls (Nkx2.1-Cre;Prdm16+/f;Ai14+), from multiple litters. All mice were socially housed, with a minimum of 2 and a maximum of 5 littermates per cage. Male and female mice were tested separately, and the experimenters were blinded to the animals’ genotypes until after the results were compiled. The experimental arenas were thoroughly cleaned (successively wiped with Windex and 70% ethanol) between individual tests.
Light-dark box test.
The arena (open field chamber [ENV-510] with a dark box insert [ENV-511]; Med Associates) consisted of two equally-sized compartments connected by a small restricted opening. One of the compartments was brightly illuminated (700–800 lux), while the other remained in the dark. Mice were placed on the bright compartment and allowed to freely move within and between both chambers for 10 minutes. The number of entries and time spent in each compartment were recorded automatically using Activity Software (Med Associates). The measure compared in Figure S5B is % of the test time spent in the bright chamber.
Open field test.
The arena was a uniformly illuminated box with a square (40×40 cm) base and an open top. Mice were placed in a corner of the box and allowed to freely move within it for 10 minutes. Their movements were recorded with a camera placed above the center of the arena, and analyzed using the Topscan software (CleverSys). The measure compared in Figure S5C is % of the test time spent in the center of the arena.
Novel object test.
This test was performed and analyzed in the same arena and manner as the open field test, the only difference being the placement of a novel object (a small assembly of Lego pieces, approximately 4×4×7 cm in size) attached to the center of the base. The measure compared in Figure S5D is % of the test time spent in the middle of the arena.
Elevated plus-maze test.
The arena consisted of two open and two (laterally) closed arms, all measuring 30 × 5 cm and extending from a central platform, located 85 cm above ground level. Mice were placed at the end of one of the open arms, facing the center, and allowed to freely explore the arena for 5 minutes in a dimly lit environment. Their movements were recorded with a camera placed above the center of the maze, and analyzed using the Topscan software (CleverSys). The measure compared in Figure S5E is % of the test time spent on the open arms.
Social interaction test.
This test was performed on a three-chambered rectangular (62 × 40 cm) arena. The central chamber was separated from the side ones by restricted openings that could be blocked by removable doors. Each side chamber had a small perforated container located on a corner (in opposite locations). The test was performed in two phases, on two consecutive days. In the initial (habituation) phase, the test mouse was placed in the middle chamber, the doors to the side chambers were removed simultaneously and the subject was allowed to freely explore the arena for 10 minutes. In the second (test) phase, a “stranger” mouse (C57BL/6J strain, of the same sex as the test subject and with no prior contact with it) was placed under one of the perforated containers in the side chambers, and an object (the same Lego assembly that was used for the novel object test) under the other, in a random and counterbalanced way. Test mice were placed in the middle chamber and allowed to freely explore the arena for 10 minutes after removing the doors to the side chambers. Their movements were recorded and analyzed with the Topscan software (CleverSys). The measure compared in Figure S5F is the proportion of time spent in close proximity (within 2.5 cm) to the container where the unfamiliar mouse was placed, over the total amount of time spent exploring (i.e. close to) either container.
Y-maze test.
This test was performed in a transparent Y-shaped arena enclosed on the sides, where two arms (“left” and “right”) can be independently blockaded, with the third one serving as the starting arm. The arena was placed close to a large green holding rack, which served as a visual spatial cue for mice to differentiate the sides of the testing room. The test was run in two phases: during the habituation phase, either the left or the right arm was blockaded, and mice were placed at the end of the starting arm. They were allowed to freely explore the arena for 3 minutes, while their movements were recorded. They were then retrieved from the arena and placed in a designated empty cage, while the arena was cleaned and the blockade removed. During the test phase, the mice were put back into the maze in the same manner, and allowed to explore the arena for 3 minutes. Their movements were recorded and analyzed using the TopScan software (CleverSys). The measure compared in Figure S5G is the proportion of time spent on the novel arm (i.e., the one that had been blockaded during the habituation phase) over the total amount of time spent on either “left” or “right” arms.
Acute restraint stress
Mice (6–7 months old) were placed inside 40 ml Falcon tubes with ventilation holes bored in at the tip (i.e. where the mouse’s head was located). The tube caps were screwed in and the tubes were placed in a designated clean cage for 30 minutes. Mice were then removed from the tubes into their home cages, and sacrificed by transcardial perfusion 1 hour later. Male and female mice were subjected to restraint on different days, and the tubes were thoroughly cleaned with 70% ethanol and dry-wiped between subjects. Untreated age-matched controls were submitted to perfusion as described above, without any further experimental manipulations.
Predator Odor Exposure
A circular open field (US Plastics) with a small ⅛” diameter odor inlet on one side of the arena was used to expose animals for 15-minutes to a “blank” odor (dipropylene glycol), then 15-minutes of a 25% dilution of 2,3,5-trimethyl-3-thiazoline (TMT; diluted in dipropylene glycol). Filtered air (0.2–0.25 liters per minute) was blown over odorant-soaked filter paper (VWR) placed at the bottom of a Vacutainer syringe vial (Covidien). Independent PTFE tubing lines (Zeus) were used for blank and TMT sessions to avoid cross-contamination. All recordings were performed in darkness. The arena was cleaned with successive 70% ethanol − 10% bleach − 70% ethanol wiping steps and allowed to dry completely between subjects. Male and female mice were tested on different days.
Occupancy Analysis.
Heatmaps (Figure 5B) were generated using the (x,y) centroid position of animals calculated during the extraction procedure. Specifically, a 2D histogram was generated using all data from both male and female datasets using the numpy (python) histogram2d() function with a bin size of 15. The specific x and y bin edges from this “grand” heatmap were used to generate all subsequent groupwise heatmaps. To calculate the average heatmap for a given condition, a 2D histogram was generated for each session, normalized so that the histogram summed to 1, then appended to a (n_sessions × 15 bins × 15 bins) matrix. Finally, the average was taken across the first dimension to create a final (15×15) dimensional matrix. For heatmaps where differential occupancy is shown, average (15×15) heatmaps were simply subtracted from each other. For visualization purposes, all heatmaps were smoothed with a gaussian kernel using the matplotlib imshow() function. Odor inlet occupancy was quantified by computing the distance (vector norm) between the mouse centroid and a fixed odor port position, then counting the proportion of time the mouse spent closer to the odor port than a given threshold (40 mm in Figure 5C). Outliers (a total of four, one per sex and genotype) were identified by the Grubbs’ test, performed online with the GraphPad Outlier calculator at https://www.graphpad.com/quickcalcs/grubbs1/, and excluded from statistical analyses.
Motion Sequencing (MoSeq)
Data Acquisition.
Motion Sequencing (Figures 5D,E, S5H–M) is an unsupervised machine learning platform that segments continuous mouse behavior into its constituent parts, or behavioral “syllables”35,53–55. Data acquisition was performed as previously described56. Briefly, we used “depth” MoSeq, which operates on 3D data acquired by a depth sensor. Specifically, kinect2-nidaq software (https://github.com/dattalab/kinect2-nidaq) was used to acquire 3D images from a Kinect 2 depth camera at 30 Hz.
MoSeq: Pre-processing, Data Extraction, Modeling.
Data was extracted, pre-processed, and modeled using the moseq2-app pipeline (https://github.com/dattalab/moseq2-app). Male and female mice used in this study had drastically different distributions of sizes; since MoSeq is sensitive to deviations of this magnitude, we separated male (1,669,346 frames) and female (1,346,820 frames) datasets for subsequent MoSeq analysis. In addition, the top/bottom 2.5% sized animals (mean mouse area) were omitted from each dataset, as detailed previously47. Default parameters were used for extraction and PCA. To determine an ideal value of the hyperparameter kappa, a scan over a log range of 10 kappa values was performed on each dataset and a 100-iteration AR-HMM model was trained for each value of kappa. Following the kappa scan, the best kappa value (1,668,101 for both datasets) was selected using the Jensen-Shannon objective, which measures the similarity between the AR-HMM learned syllable duration distribution and the model-free changepoint duration distribution. A final 1000-iteration model was trained with a kappa of 1,668,101. The final model for each dataset had an overlapping syllable duration distribution and changepoint distribution similar to previously published datasets. All pre-processing, data extraction, and modeling were performed locally on a Windows 10 workstation.
MoSeq: Analysis.
The moseq2-app pipeline was also used for syllable analysis. Syllables that accounted for 99% of variance explained were used for downstream analysis (53 for males, 53 for females). Using the interactive syllable labeling tool, syllables were given human labels by examining crowd movies. Differential syllable usage analysis was performed on all pairwise group comparisons for each dataset. Significantly different syllable usages were determined using a Kruskal-Wallis test, post-hoc Dunn’s two-sided test with permutation, and multiple comparisons correction using the Benjamini-Hochberg procedure with a false discovery rate of 0.0536. All syllable usage error bars report the 95% confidence interval from 10,000-iteration bootstrapped syllable usages.
Statistical analysis
Except for MoSeq (see above), all statistical analyses, as indicated in the corresponding Figure Legends, were performed using GraphPad Prism 9. All p-values were rounded to ten thousandth, and are presented above each statistical comparison in the corresponding figures; p-values below 0.05 (which we considered the cutoff for statistical significance) are highlighted in bold, while p-values deemed not statistically significant under this criterion are displayed in regular type within parentheses.
Supplementary Material
ACKNOWLEDGEMENTS
The authors would like to thank all members of the Harwell lab for feedback and support; Manni Adam, Rhiana Simon, Félix Leroy and Antoine Besnard for comments on the manuscript; Barbara Caldarone at the Mouse Behavior Core of Harvard Medical School for her help and advice towards the design, performance and analysis of anxiety-related behavioral tests; Bob Datta for providing advice, equipment and resources for the predator odor assay; Mazen Kheirbek for providing equipment and laboratory space for the acute restraint tests; Maria Pazyra and Rosalind Segal for their gift of anti-ZIC antibody; and members of the Álvarez-Buylla, Canzio, Goodrich, Kriegstein, Lehtinen, Panagiotakos, Paredes, and Segal labs for discussions and feedback. M.T.G. was partially supported by the Ellen R. and Melvin J. Gordon Center the Cure and Treatment of Paralysis. This research was funded by grants R01NS102228 and R01MH119156 from the National Institutes of Health.
REFERENCES
- 1.Sheehan T.P., Chambers R.A., and Russell D.S. (2004). Regulation of affect by the lateral septum: implications for neuropsychiatry. Brain research. Brain research reviews 46, 71–117. 10.1016/j.brainresrev.2004.04.009. [DOI] [PubMed] [Google Scholar]
- 2.Besnard A., and Leroy F. (2022). Top-down regulation of motivated behaviors via lateral septum sub-circuits. Mol Psychiatry. 10.1038/s41380-022-01599-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Wirtshafter H.S., and Wilson M.A. (2021). Lateral septum as a nexus for mood, motivation, and movement. Neurosci Biobehav Rev 126, 544–559. 10.1016/j.neubiorev.2021.03.029. [DOI] [PubMed] [Google Scholar]
- 4.Menon R., Suss T., Oliveira V.E.M., Neumann I.D., and Bludau A. (2022). Neurobiology of the lateral septum: regulation of social behavior. Trends Neurosci 45, 27–40. 10.1016/j.tins.2021.10.010. [DOI] [PubMed] [Google Scholar]
- 5.Risold P.Y., and Swanson L.W. (1997). Connections of the rat lateral septal complex. Brain Res Brain Res Rev 24, 115–195. 10.1016/s0165-0173(97)00009-x. [DOI] [PubMed] [Google Scholar]
- 6.Risold P.Y., and Swanson L.W. (1997). Chemoarchitecture of the rat lateral septal nucleus. Brain Res Brain Res Rev 24, 91–113. [DOI] [PubMed] [Google Scholar]
- 7.Wei B., Huang Z., He S., Sun C., You Y., Liu F., and Yang Z. (2012). The onion skin-like organization of the septum arises from multiple embryonic origins to form multiple adult neuronal fates. Neuroscience 222, 110–123. 10.1016/j.neuroscience.2012.07.016. [DOI] [PubMed] [Google Scholar]
- 8.Magno L., Barry C., Schmidt-Hieber C., Theodotou P., Hausser M., and Kessaris N. (2017). NKX2–1 Is Required in the Embryonic Septum for Cholinergic System Development, Learning, and Memory. Cell reports 20, 1572–1584. 10.1016/j.celrep.2017.07.053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Iyer A., and Tole S. (2020). Neuronal diversity and reciprocal connectivity between the vertebrate hippocampus and septum. Wiley Interdiscip Rev Dev Biol 9, e370. 10.1002/wdev.370. [DOI] [PubMed] [Google Scholar]
- 10.Turrero Garcia M., Stegmann S.K., Lacey T.E., Reid C.M., Hrvatin S., Weinreb C., Adam M.A., Nagy M.A., and Harwell C.C. (2021). Transcriptional profiling of sequentially generated septal neuron fates. Elife 10. 10.7554/eLife.71545. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Magno L., Asgarian Z., Apanaviciute M., Milner Y., Bengoa-Vergniory N., Rubin A.N., and Kessaris N. (2022). Fate mapping reveals mixed embryonic origin and unique developmental codes of mouse forebrain septal neurons. Commun Biol 5, 1137. 10.1038/s42003-022-04066-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Gaston-Massuet C., Henderson D.J., Greene N.D., and Copp A.J. (2005). Zic4, a zinc-finger transcription factor, is expressed in the developing mouse nervous system. Dev Dyn 233, 1110–1115. 10.1002/dvdy.20417. [DOI] [PubMed] [Google Scholar]
- 13.Inoue T., Ota M., Ogawa M., Mikoshiba K., and Aruga J. (2007). Zic1 and Zic3 regulate medial forebrain development through expansion of neuronal progenitors. J Neurosci 27, 5461–5473. 10.1523/JNEUROSCI.4046-06.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Rubin A.N., Alfonsi F., Humphreys M.P., Choi C.K., Rocha S.F., and Kessaris N. (2010). The germinal zones of the basal ganglia but not the septum generate GABAergic interneurons for the cortex. J Neurosci 30, 12050–12062. 10.1523/JNEUROSCI.6178-09.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Turrero Garcia M., Baizabal J.M., Tran D.N., Peixoto R., Wang W., Xie Y., Adam M.A., English L.A., Reid C.M., Brito S.I., et al. (2020). Transcriptional regulation of MGE progenitor proliferation by PRDM16 controls cortical GABAergic interneuron production. Development 147. 10.1242/dev.187526. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Anthony T.E., Dee N., Bernard A., Lerchner W., Heintz N., and Anderson D.J. (2014). Control of stress-induced persistent anxiety by an extra-amygdala septohypothalamic circuit. Cell 156, 522–536. 10.1016/j.cell.2013.12.040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Hashimoto M., Brito S.I., Venner A., Pasqualini A.L., Yang T.L., Allen D., Fuller P.M., and Anthony T.E. (2022). Lateral septum modulates cortical state to tune responsivity to threat stimuli. Cell Rep 41, 111521. 10.1016/j.celrep.2022.111521. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Minocha S., Valloton D., Arsenijevic Y., Cardinaux J.R., Guidi R., Hornung J.P., and Lebrand C. (2017). Nkx2.1 regulates the generation of telencephalic astrocytes during embryonic development. Sci Rep 7, 43093. 10.1038/srep43093. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Chalmers D.T., Lovenberg T.W., and De Souza E.B. (1995). Localization of novel corticotropin-releasing factor receptor (CRF2) mRNA expression to specific subcortical nuclei in rat brain: comparison with CRF1 receptor mRNA expression. J Neurosci 15, 6340–6350. 10.1523/JNEUROSCI.15-10-06340.1995. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Li C., Vaughan J., Sawchenko P.E., and Vale W.W. (2002). Urocortin III-immunoreactive projections in rat brain: partial overlap with sites of type 2 corticotrophin-releasing factor receptor expression. J Neurosci 22, 991–1001. 10.1523/JNEUROSCI.22-03-00991.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Lewis K., Li C., Perrin M.H., Blount A., Kunitake K., Donaldson C., Vaughan J., Reyes T.M., Gulyas J., Fischer W., et al. (2001). Identification of urocortin III, an additional member of the corticotropin-releasing factor (CRF) family with high affinity for the CRF2 receptor. Proc Natl Acad Sci U S A 98, 7570–7575. 10.1073/pnas.121165198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Chen P., Lin D., Giesler J., and Li C. (2011). Identification of urocortin 3 afferent projection to the ventromedial nucleus of the hypothalamus in rat brain. J Comp Neurol 519, 2023–2042. 10.1002/cne.22620. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Magno L., Catanzariti V., Nitsch R., Krude H., and Naumann T. (2009). Ongoing expression of Nkx2.1 in the postnatal mouse forebrain: potential for understanding NKX2.1 haploinsufficiency in humans? Brain Res 1304, 164–186. 10.1016/j.brainres.2009.09.050. [DOI] [PubMed] [Google Scholar]
- 24.Szeidemann Z., Shanabrough M., and Leranth C. (1995). Hypothalamic Leu-enkephalin-immunoreactive fibers terminate on calbindin-containing somatospiny cells in the lateral septal area of the rat. J Comp Neurol 358, 573–583. 10.1002/cne.903580410. [DOI] [PubMed] [Google Scholar]
- 25.Merchenthaler I. (1991). Co-localization of enkephalin and TRH in perifornical neurons of the rat hypothalamus that project to the lateral septum. Brain Res 544, 177–180. 10.1016/0006-8993(91)90903-9. [DOI] [PubMed] [Google Scholar]
- 26.Onteniente B., Menetrey D., Arai R., and Calas A. (1989). Origin of the met-enkephalinergic innervation of the lateral septum in the rat. Cell Tissue Res 256, 585–592. 10.1007/BF00225608. [DOI] [PubMed] [Google Scholar]
- 27.Horii-Hayashi N., and Nishi M. (2018). A Newly Defined Area of the Mouse Anterior Hypothalamus Involved in Septohypothalamic Circuit: Perifornical Area of the Anterior Hypothalamus, PeFAH. Acta Histochem Cytochem 51, 1–8. 10.1267/ahc.17030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Ugur M., Doridot S., la Fleur S.E., Veinante P., and Massotte D. (2021). Connections of the mouse subfornical region of the lateral hypothalamus (LHsf). Brain Struct Funct 226, 2431–2458. 10.1007/s00429-021-02349-x. [DOI] [PubMed] [Google Scholar]
- 29.Autry A.E., Wu Z., Kapoor V., Kohl J., Bambah-Mukku D., Rubinstein N.D., Marin-Rodriguez B., Carta I., Sedwick V., Tang M., and Dulac C. (2021). Urocortin-3 neurons in the mouse perifornical area promote infant-directed neglect and aggression. Elife 10. 10.7554/eLife.64680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Horii-Hayashi N., Sasagawa T., Hashimoto T., Kaneko T., Takeuchi K., and Nishi M. (2015). A newly identified mouse hypothalamic area having bidirectional neural connections with the lateral septum: the perifornical area of the anterior hypothalamus rich in chondroitin sulfate proteoglycans. Eur J Neurosci 42, 2322–2334. 10.1111/ejn.13024. [DOI] [PubMed] [Google Scholar]
- 31.Duncan G.E., Knapp D.J., and Breese G.R. (1996). Neuroanatomical characterization of Fos induction in rat behavioral models of anxiety. Brain Res 713, 79–91. 10.1016/0006-8993(95)01486-1. [DOI] [PubMed] [Google Scholar]
- 32.Endres T., and Fendt M. (2008). Inactivation of the lateral septum blocks fox odor-induced fear behavior. Neuroreport 19, 667–670. 10.1097/WNR.0b013e3282fb78d9. [DOI] [PubMed] [Google Scholar]
- 33.Henry B., Vale W., and Markou A. (2006). The effect of lateral septum corticotropin-releasing factor receptor 2 activation on anxiety is modulated by stress. J Neurosci 26, 9142–9152. 10.1523/JNEUROSCI.1494-06.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Wiltschko A.B., Johnson M.J., Iurilli G., Peterson R.E., Katon J.M., Pashkovski S.L., Abraira V.E., Adams R.P., and Datta S.R. (2015). Mapping Sub-Second Structure in Mouse Behavior. Neuron 88, 1121–1135. 10.1016/j.neuron.2015.11.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Markowitz J.E., Gillis W.F., Beron C.C., Neufeld S.Q., Robertson K., Bhagat N.D., Peterson R.E., Peterson E., Hyun M., Linderman S.W., et al. (2018). The Striatum Organizes 3D Behavior via Moment-to-Moment Action Selection. Cell 174, 44–58 e17. 10.1016/j.cell.2018.04.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Gschwind T., Zeine A., Raikov I., Markowitz J.E., Gillis W.F., Felong S., Isom L.L., Datta S.R., and Soltesz I. (2023). Hidden behavioral fingerprints in epilepsy. Neuron 111, 1440–1452 e1445. 10.1016/j.neuron.2023.02.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Shin S., Pribiag H., Lilascharoen V., Knowland D., Wang X.Y., and Lim B.K. (2018). Drd3 Signaling in the Lateral Septum Mediates Early Life Stress-Induced Social Dysfunction. Neuron 97, 195–208 e196. 10.1016/j.neuron.2017.11.040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Li L., Durand-de Cuttoli R., Aubry A.V., Burnett C.J., Cathomas F., Parise L.F., Chan K.L., Morel C., Yuan C., Shimo Y., et al. (2023). Social trauma engages lateral septum circuitry to occlude social reward. Nature 613, 696–703. 10.1038/s41586-022-05484-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Besnard A., Gao Y., TaeWoo Kim M., Twarkowski H., Reed A.K., Langberg T., Feng W., Xu X., Saur D., Zweifel L.S., et al. (2019). Dorsolateral septum somatostatin interneurons gate mobility to calibrate context-specific behavioral fear responses. Nat Neurosci 22, 436–446. 10.1038/s41593-018-0330-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Azevedo E.P., Tan B., Pomeranz L.E., Ivan V., Fetcho R., Schneeberger M., Doerig K.R., Liston C., Friedman J.M., and Stern S.A. (2020). A limbic circuit selectively links active escape to food suppression. Elife 9. 10.7554/eLife.58894. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Kinameri E., Inoue T., Aruga J., Imayoshi I., Kageyama R., Shimogori T., and Moore A.W. (2008). Prdm proto-oncogene transcription factor family expression and interaction with the Notch-Hes pathway in mouse neurogenesis. PloS one 3, e3859. 10.1371/journal.pone.0003859. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Fishell G., and Kepecs A. (2020). Interneuron Types as Attractors and Controllers. Annu Rev Neurosci 43, 1–30. 10.1146/annurev-neuro-070918-050421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Troyano-Rodriguez E., Wirsig-Wiechmann C.R., and Ahmad M. (2019). Neuroligin-2 Determines Inhibitory Synaptic Transmission in the Lateral Septum to Optimize Stress-Induced Neuronal Activation and Avoidance Behavior. Biol Psychiatry 85, 1046–1055. 10.1016/j.biopsych.2019.01.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Cullinan W.E., Herman J.P., Battaglia D.F., Akil H., and Watson S.J. (1995). Pattern and time course of immediate early gene expression in rat brain following acute stress. Neuroscience 64, 477–505. 10.1016/0306-4522(94)00355-9. [DOI] [PubMed] [Google Scholar]
- 45.Sood A., Chaudhari K., and Vaidya V.A. (2018). Acute stress evokes sexually dimorphic, stressor-specific patterns of neural activation across multiple limbic brain regions in adult rats. Stress 21, 136–150. 10.1080/10253890.2017.1422488. [DOI] [PubMed] [Google Scholar]
- 46.Zhong C., Wang L., Cao Y., Sun C., Huang J., Wang X., Pan S., He S., Huang K., Lu Z., et al. (2022). A neural circuit from the dorsal CA3 to the dorsomedial hypothalamus mediates balance between risk exploration and defense. Cell Rep 41, 111570. 10.1016/j.celrep.2022.111570. [DOI] [PubMed] [Google Scholar]
- 47.Levy D.R., Hunter N., Lin S., Robinson E.M., Gillis W., Conlin E.B., Anyoha R., Shansky R.M., and Datta S.R. (2023). Mouse spontaneous behavior reflects individual variation rather than estrous state. Curr Biol 33, 1358–1364 e1354. 10.1016/j.cub.2023.02.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.de Leon Reyes N.S., Sierra Diaz P., Nogueira R., Ruiz-Pino A., Nomura Y., de Solis C.A., Schulkin J., Asok A., and Leroy F. (2023). Corticotropin-releasing hormone signaling from prefrontal cortex to lateral septum suppresses interaction with familiar mice. Cell. 10.1016/j.cell.2023.08.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Rodriguez L.A., Kim S.H., Page S.C., Nguyen C.V., Pattie E.A., Hallock H.L., Valerino J., Maynard K.R., Jaffe A.E., and Martinowich K. (2023). The basolateral amygdala to lateral septum circuit is critical for regulating social novelty in mice. Neuropsychopharmacology 48, 529–539. 10.1038/s41386-022-01487-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Chen S., He L., Huang A.J.Y., Boehringer R., Robert V., Wintzer M.E., Polygalov D., Weitemier A.Z., Tao Y., Gu M., et al. (2020). A hypothalamic novelty signal modulates hippocampal memory. Nature 586, 270–274. 10.1038/s41586-020-2771-1. [DOI] [PubMed] [Google Scholar]
- 51.Horii-Hayashi N., Nomoto K., Endo N., Yamanaka A., Kikusui T., and Nishi M. (2021). Hypothalamic perifornical Urocortin-3 neurons modulate defensive responses to a potential threat stimulus. iScience 24, 101908. 10.1016/j.isci.2020.101908. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Yan J.J., Ding X.J., He T., Chen A.X., Zhang W., Yu Z.X., Cheng X.Y., Wei C.Y., Hu Q.D., Liu X.Y., et al. (2022). A circuit from the ventral subiculum to anterior hypothalamic nucleus GABAergic neurons essential for anxiety-like behavioral avoidance. Nat Commun 13, 7464. 10.1038/s41467-022-35211-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Wiltschko A.B., Johnson M.J., Iurilli G., Peterson R.E., Katon J.M., Pashkovski S.L., Abraira V.E., Adams R.P., and Datta S.R. (2015). Mapping Sub-Second Structure in Mouse Behavior. Neuron 88, 1121–1135. 10.1016/j.neuron.2015.11.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Wiltschko A.B., Tsukahara T., Zeine A., Anyoha R., Gillis W.F., Markowitz J.E., Peterson R.E., Katon J., Johnson M.J., and Datta S.R. (2020). Revealing the structure of pharmacobehavioral space through motion sequencing. Nat Neurosci 23, 1433–1443. 10.1038/s41593-020-00706-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Weinreb C., Osman M.A.M., Zhang L., Lin S., Pearl J., Annapragada S., Conlin E., Gillis W.F., Jay M., Ye S., et al. (2023). Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics. bioRxiv. 10.1101/2023.03.16.532307. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Lin S.G., W. F.; Weinreb C.; Zeine A.; Jones S. C.; Robinnson E.; Markowitz J.; Datta S. R. (2022). Characterizing the structure of mouse behavior using Motion Sequencing. arXiv. 10.48550/arXiv.2211.08497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Borghesani P.R., Peyrin J.M., Klein R., Rubin J., Carter A.R., Schwartz P.M., Luster A., Corfas G., and Segal R.A. (2002). BDNF stimulates migration of cerebellar granule cells. Development 129, 1435–1442. [DOI] [PubMed] [Google Scholar]
- 58.Schindelin J., Arganda-Carreras I., Frise E., Kaynig V., Longair M., Pietzsch T., Preibisch S., Rueden C., Saalfeld S., Schmid B., et al. (2012). Fiji: an open-source platform for biological-image analysis. Nat Methods 9, 676–682. 10.1038/nmeth.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
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