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Contributed by David J. Anderson, December 12, 2018 (sent for review October 11, 2018; reviewed by Clifford B. Saper and Richard B. Simerly)
Significance
How hypothalamic cellular heterogeneity maps onto circuit connectivity, and the relationship of this anatomical mapping to behavioral function, remain poorly understood. Here we systematically map the connectivity of estrogen receptor-1–expressing neurons in the ventromedial hypothalamus (VMHvlEsr1), which control aggression and related social behaviors, using multiple viral-genetic tracers. Rather than a simple feed-forward sensory-to-motor processing stream, we find high convergence (fan-in) and divergence (fan-out) in VMHvlEsr1 inputs and projections, respectively, with massive feedback. However, outputs are split into two subpopulations that project either posteriorly, to premotor structures, or anteriorly back to the amygdala and hypothalamus. This fan-in/-out system architecture is consistent with “antenna” and “broadcasting” functions for VMHvlEsr1 neurons, with the feedback pathway possibly controlling behavioral decisions and internal state.
Abstract
Type 1 estrogen receptor-expressing neurons in the ventrolateral subdivision of the ventromedial hypothalamus (VMHvlEsr1) play a causal role in the control of social behaviors, including aggression. Here we use six different viral-genetic tracing methods to systematically map the connectional architecture of VMHvlEsr1 neurons. These data reveal a high level of input convergence and output divergence (“fan-in/fan-out”) from and to over 30 distinct brain regions, with a high degree (∼90%) of bidirectionality, including both direct as well as indirect feedback. Unbiased collateralization mapping experiments indicate that VMHvlEsr1 neurons project to multiple targets. However, we identify two anatomically distinct subpopulations with anterior vs. posterior biases in their collateralization targets. Nevertheless, these two subpopulations receive indistinguishable inputs. These studies suggest an overall system architecture in which an anatomically feed-forward sensory-to-motor processing stream is integrated with a dense, highly recurrent central processing circuit. This architecture differs from the “brain-inspired,” hierarchical feed-forward circuits used in certain types of artificial intelligence networks.
The hypothalamus controls an array of innate survival behaviors and associated internal motivational states, including feeding, drinking, predator defense, and social behaviors, such as mating and fighting (1, 2). It is comprised of multiple nuclei, each of which is thought to play a role in one or more behavioral functions. The connectivity of these nuclei has been extensively mapped using classic anterograde and retrograde tracing techniques (reviewed in refs. 3 and 4), revealing complex inputs to and outputs from these structures, as well as dense interconnectivity between them (5). It is increasingly clear, however, that hypothalamic nuclei are both functionally (6, 7) and cellularly (8, 9) heterogeneous. How this cellular heterogeneity maps onto connectivity, the relationship of this anatomical mapping to behavioral function, and whether there are any general principles underlying this relationship, remains poorly understood.
Genetic targeting of neuronal subpopulations and viral tools for tracing neuronal connectivity (10, 11), have provided a powerful approach to this problem in other brain systems (12⇓⇓⇓⇓⇓⇓–19). In the hypothalamus, viral tracers have been used to map the outputs of Agrp+ neurons in the arcuate (ARC) nucleus, which control the motivation to eat (20, 21). Although the ARC as a whole projects to ∼six different regions, these studies suggested that different subsets of ARCAgrp neurons project to different targets (22). Similarly, viral collateralization mapping of Galanin-expressing neurons in the medial preoptic area (MPOA) (23) have indicated that different MPOAGAl neurons controlling different functions (pup-gathering, reward, etc.) project to distinct downstream targets (24). Together, these and other data (25, 26) have provided examples of hypothalamic nuclei that contain multiple functionally and connectionally distinct neuronal subpopulations. In other examples employing classic retrograde tracers, however, collateralization to dual targets has been observed (27⇓–29). Examples of collateralization to multiple targets, as seen in monoamine neuromodulatory systems (16, 30), are few due to limitations in the number of tracers that can be used simultaneously (31).
Type 1 estrogen receptor (Esr1)-expressing neurons in the ventromedial hypothalamic nucleus (VMH) control social and defensive behaviors, as well as metabolic states (6, 7, 9, 32; reviewed in refs. 33⇓⇓⇓⇓–38). Unlike the ARCAgrp and the MPOAGal populations, which are primarily GABAergic (24), VMHvlEsr1 neurons are mainly glutamatergic (39). Inputs and outputs of the VMHvl and the anatomically overlapping hypothalamic attack area (HAA) (40) have been extensively mapped in rats, using conventional anterograde and retrograde tracers (41, 42). In mice, one study using a genomically integrated axonal tracer, PLAP, mapped a subset of projections from progesterone receptor-expressing VMHvl neurons, which are highly overlapping with VMHvlEsr1 neurons (32). However, inputs to and projections from VMHvlEsr1 neurons, the extent of their collateralization, and the relationships between specific inputs and outputs have not been systematically investigated.
In this study we have used six different genetically targeted viral tracing methods to map the meso-scale connectivity of VMHvlEsr1 neurons. Collectively, these methods reveal that these neurons display a high degree of convergence, divergence, and bidirectionality in their inputs and outputs, respectively. However, unlike ARCAgrp (22), MPOAGal (24), and DMHGal (26) GABAergic neurons, VMHvlEsr1 neurons collateralize to multiple downstream targets. Nevertheless, we identify Esr1+ neuronal subsets with broad but anatomically distinct patterns of collateralization. Together, these data suggest a system architecture in which VMHvlEsr1 neurons receive sparse input from anteriorly located sensory structures and relay this information through two divergent processing streams: a sparse feed-forward relay targeting posterior (premotor) regions, and a highly recurrent amygdalo–hypothalamic network that may control decision-making and internal states.
Results
Extensive Bidirectional Connectivity of Projections and Inputs of VMHvlEsr1 Neurons.
Inputs to and projections from the VMHvl have been mapped in several studies using classic techniques in rodents (e.g., CTb and PHAL) (40⇓⇓⇓⇓⇓⇓⇓–48). However, these techniques are unable to distinguish genetically defined cell populations within the VMHvl, which is heterogeneous (6, 9). Furthermore, with a few exceptions (49, 50) most studies report on a single type of tracing method (e.g., anterograde or retrograde), making it difficult to directly compare results across publications. To systematically map the inputs and outputs of VMHvlEsr1 neurons, we used Esr1-Cre knockin mice (7), together with Cre-dependent AAV-based anterograde (15) and modified monosynaptic rabies-based retrograde (10, 11) viruses (Methods), stereotaxically injected into VMHvl. Results were analyzed using serial two-photon tomography (Tissue-Cyte) (51) at 100-µm z-intervals with 0.35-µm x–y resolution. Esr1+ neurons form a continuous population that extends from the VMHvl into the neighboring Tuberal nucleus (TU). Across experiments described in this study, the majority (∼77%) of starter cells were located in these two regions combined, a population referred to hereafter as VMHvlEsr1.
Anterograde (nontransneuronal) tracing using Cre-dependent adeno-associated virus 1 (AAV1)-GFP (15) revealed projections of VMHvlEsr1 neurons to over 60 target regions (Fig. 1 A–E and SI Appendix, Fig. S1A; see SI Appendix, Table S1 for brain region abbreviations). Most of these targets were previously described in nongenetically based phasolus vulgaris-leucoagglutinin (PHAL) tracing studies (40, 42), with the exception of a few weak projections (SI Appendix, Table S2). Quantitative analysis of relative projection strength to each of 30 principal targets, using fluorescence pixel intensity, revealed strong projections within the hypothalamus, including the MPOA, paraventricular nucleus (PVN), anterior hypothalamus nucleus (AHN), dorsomedial hypothalamus (DMH) and ventral premammillary (PMv), and the extended amygdala [including the bed nucleus of the stria terminalis (BNST)], as well as posterior projections to the midbrain and brainstem, including the periaqueductal gray (PAG) dorsomedial (dm), PAG ventrolateral (vl), median raphe nucleus (MRN), and ventral tegmental area (VTA) (Fig. 1K; see color code for their position relative to VMHvl). A comparison of projections in males and females (n = 2 each) did not reveal consistent differences (SI Appendix, Table S3) (but see ref. 32).
Fig. 1.
Inputs to and outputs from VMHvlEsr1 neurons. (A–E) Projections of VMHvlEsr1 neurons. (A) Experimental schematic. (B–E) Representative images of AAV-GFP labeled projections (Image credit: Allen Institute). (F–J) Inputs to VMHvlEsr1 neurons revealed by monosynaptic rabies tracing. (F) Experimental schematic. (G–J) Representative images of rabies-GFP labeled inputs. (K) Proportion of total projections in each of 30 areas (n = 3). All bar graphs with error bars represent means + SEMs. Color code corresponds to anterior (orange), posterior (blue), or similar (gray) A–P location relative to the VMHvl; regions arranged from anterior (Left) to posterior (Right). (L) Proportion of total inputs, shown in F–J, graphed as in K. CEA, central amygdalar nucleus; NPC, nucleus of the posterior commissure; PB, parabrachial nucleus; PCG, pontine central gray. (M) Schematic summarizing the percent of total inputs (Left) or outputs (Right). (N) Relative bias toward inputs or projection strength, calculated by dividing normalized input strength (L) by normalized projection strength (F). Color code is as in K. (Lower) Example structures with strong input (SUBv) or projection (PAG) bias. (O) Histogram for visualizing estimated strength and balance of bidirectional connectivity, calculated by subtracting the absolute value of the difference between normalized input strength (L) and normalized projection strength (F) from their sum. (P) Summary schematic; bias of regions toward input or output shown using heat-map coloration. See SI Appendix, Fig. S1 for control experiments, micrographs of input and output regions, and additional data. See SI Appendix, Table S1 for list of abbreviations and SI Appendix, Tables S5–S7 for rank-ordered lists and relative positions of regions.
To map presynaptic inputs specifically to the VMHvlEsr1 population, we performed Cre-dependent monosynaptic, retrograde, transneuronal tracing (52⇓–54), using N2c rabies virus encoding a nuclear GFP reporter (Methods and Fig. 1F). Sections were analyzed using brain-wide serial two-photon tomography, as above, and the number of cells in each region was manually quantified. We observed detectable retrograde labeling in 63 different structures, all but 7 of which were identified in an earlier nongenetically based retrograde tracing study from VMHvl in the rat using CTB (41) (SI Appendix, Table S4). Notably, the vast majority of inputs to VMHvlEsr1 neurons are located subcortically, particularly in the hypothalamus and extended amygdala. However, we also detected significant input from the ventral subiculum (SUBv), as well as from the medial prefrontal cortex (mPFC) (Fig. 1 F–J and L and SI Appendix, Fig. S1B).
Strikingly, with a few notable exceptions (see below), monosynaptic retrograde labeling was found in the majority of structures to which VMHvlEsr1 neurons also project (Fig. 1 K–P and SI Appendix, Fig. S1 A and B). Because many of these input regions themselves contain Esr1+ neurons, we were concerned that the Cre-dependent, transcomplementing AAV encoding TVA-2A-rabies glycoprotein (RG) injected into the VMHvl might infect axons from these VMH-extrinsic Esr1+ inputs, subsequently allowing for primary infection of those terminals by the EnvA-pseudotyped rabies virus (and therefore GFP expression in their cell bodies, creating a false impression of retrograde monosynaptic labeling). To control for this, a separate cohort of mice were injected with a control Cre-dependent AAV encoding only TVA, and not RG. With the exception of local expression of GFP in VMHvl, expression of the rabies-encoded nuclear GFP marker was not detected in input regions (SI Appendix, Fig. S1 C and D), indicating that the VMH-extrinsic GFP expression observed in experimental animals was dependent on the expression of the transcomplementing RG protein, and therefore indeed reflected monosynaptic, retrograde tracing.
To compare quantitatively the relative strength of VMHvlEsr1 projections vs. inputs for each structure, we determined the ratio, plotted on a log scale, of the normalized input strength to the normalized output strength for 30 different regions (Fig. 1N and SI Appendix, Tables S5 and S6). Thus, the closer the log-ratio value to 0, the higher the likelihood that the normalized strength of inputs from a given region was equal to the normalized projection (output) strength to that region (e.g., MPOA, ∼9% of total projections and ∼9% of total inputs; ratio = 1; log ratio = 0) (Fig. 1 K–N). Approximately 40% (12 of 30) of the regions analyzed in this way had log-ratio values between +0.3 and −0.3 (Fig. 1N), indicating relatively balanced (less than twofold different) bidirectional connectivity. In contrast, only 20% (6 of 30) of the regions sampled had an input bias (ratio > 3, log ratio > 0.48), while a similar percentage showed an output bias (ratio < 0.33, log ratio < −0.48). Most notable among input-biased areas was the SUBv, which contributed ∼7% of all inputs but which received almost no projections, while among output-biased areas the PAG received ∼5% of all outputs but <1% of all inputs (Fig. 1 K–N and P).
To analyze these data further, we ranked input-biased structures and output-biased structures based on the ratio of the normalized inputs/outputs for each structure (SI Appendix, Tables S6 and S7). Interestingly, input-biased structures were distributed primarily anterior to, or in the same anterior–posterior (A–P) region as, the VMHvl (SI Appendix, Table S7, columns 2 and 3), and included sensory regions [taenia tecta dorsal (TTd), medial amygdala (MeA), BNST principal (pr)], while projection-biased structures were distributed more posteriorly and included most of the midbrain premotor targets (e.g., PAGdm, PAGvl, MRN) (SI Appendix, Table S7, columns 5 and 6). The average distance from Bregma was significantly different (P < 0.03) for input-biased vs. output-biased targets (SI Appendix, Table S7, columns 4, 7, and 10), with the former containing the most anterior [mPFC, TTd, lateral septal neuron (LS)] and the latter the most posterior (PAGdm, PAGvl, MRN) targets. To further analyze unbiased regions that have the greatest combination of both connectivity strength and bidirectionality, we plotted the sum of each region’s normalized inputs and projections (strength) minus the absolute value of the difference between input and projection (bias) (Fig. 1O); thus high strength and high bidirectionality gave the highest relative values. These strongly bidirectionally connected regions included most intrahypothalamic and extended amygdala targets (e.g., MPOA, AHN, BNST) (Fig. 1 O and P and SI Appendix, Table S7, columns 8, 9, 11, and 12).
We next asked whether different input regions send predominantly glutamatergic or GABAergic projections to the VMHvl. To do this, we used a method we call input-neurotransmitter-selective retrograde tracing (INSERT) by injecting retrograde herpes simplex virus (HSV) harboring a Cre-dependent mCherry reporter into the VMHvl of either vGlut2-cre or vGAT-cre mice. Retrograde transport of the virus and recombination revealed the brain-wide distribution of vGlut2+ or vGAT+ neurons that project to the VMHvl (although not to Esr1+ neurons specifically) (SI Appendix, Fig. S1E). These experiments indicated that most (63%) of the VMHvl input regions are either primarily glutamatergic or GABAergic, but not both (SI Appendix, Fig. S1 F–H). The posterior amygdala (PA), precommissural nucleus (PRC), subparafascicular nucleus parvicellular part (SPFp), and PMv provide the majority of predominantly glutamatergic input, while the BNSTpr, MPOA, AHN, and DMH provide the majority of predominantly GABAergic input (SI Appendix, Fig. S1 F–H). Among those input regions containing both glutamatergic and GABAergic neurons, most send inputs of both types to the VMHvl. MPOA, anteroventral periventricular (AVPV), and ARC send equal proportions of glutamatergic and GABAergic inputs, while other regions show either a strong bias to GABAergic [BNSTpr and anterior TU] or to glutamatergic inputs [mPFC, MeAav, posterior amygdalar nucleus (pPA), SUBv, and PAGdm] (SI Appendix, Fig. S1 F–H).
Higher-Order Projections from VMHvl Reveal Indirect Feedback to Select Presynaptic Inputs.
To identify second and higher-order projections of VMHvlEsr1 neurons, we performed poly-synaptic, anterograde, transneuronal tracing using a Cre-dependent H129 virus (Fig. 2A) (55). Survival times were limited to ∼40–50 h to restrict viral movement to an estimated 2 ± 1 synapses (55, 56). As expected, postsynaptic labeling was seen in most of the structures to which VMHvlEsr1 neurons project directly, including the PAG, MPOA, ARC, and BNSTpr (Fig. 2 B–G). Strikingly, however, strong labeling was also observed in several areas to which VMHvlEsr1 neurons were not seen to directly project (Fig. 2 H and I), but from which they receive strong input; these included the SUBv, TTd, and subfornical organ (SFO) (Fig. 2I and SI Appendix, Fig. S2 E–G). These observations are suggestive of poly-synaptic feedback from the VMHvl to these input structures (Fig. 2J and SI Appendix, Fig. S2N). [However, we cannot formally exclude that this reflects input-specific retrograde labeling by the H129 virus (see discussion in refs. 55 and 57).] We also identified indirect feedback to the suprachiasmatic nucleus (SCH) (SI Appendix, Fig. S2 A–C), which has recently been shown to mediate circadian control of aggression, via indirect projections to VMHvlEsr1 neurons (58). Finally, although VMHvlEsr1 neurons exhibit very weak direct projections to the mPFC, (Fig. 1K), we observed clear anterograde transsynaptic labeling of cells in the prelimbic area (PL) and infralimbic area (ILA) (Fig. 2B). To exclude the possibility that the labeling of strong input regions, such as the SUBv, was due to retrograde infection of Esr1+ axon terminals originating in those structures (55), we injected a retrograde HSV (not HSV129) expressing Cre-dependent mCherry into the VMHvl of Esr1-Cre mice, as described in the INSERT tracing above. In these experiments we saw little to no labeling in the SUBv, TTd, and SFO (SI Appendix, Fig. S2 I–L).
Fig. 2.
Indirect feedback loops revealed by anterograde transsynaptic tracing. (A) Schematic of experiment showing anterograde, poly-transsynaptic tracing via injection of H129ΔTK-TT virus into the VMHvl of Esr1-Cre mice. (B–G) Representative images of anterograde transsynaptic tracing from VMHvlEsr1 neurons. (H) Quantification showing the percent of total H129ΔTK-TT labeled output neurons in 12 regions (mean + SEM, n = 2). Bar color code reflects whether the region is located anterior (orange) or posterior (blue) to the VMHvl. (I) Ratio of H129ΔTK-TT labeling to AAV-GFP projections in the corresponding regions. AAV-GFP–based projections for the same 12 selected regions were extracted from Fig. 1F and normalized to 100% for comparison with data in H. (J) Representative images comparing HSV-labeled polysynaptic outputs (Left), AAV-GFP–based projections (Center), and rabies-GFP labeled inputs (Right) in the SUBv and TTd. See SI Appendix, Fig. S2 for additional data and analysis.
VMHvl Esr1 Neurons Show Extensive Collateralization.
The population-level projection mapping described above (Fig. 1) did not distinguish whether the multiple projection targets of VMHvlEsr1 neurons (Fig. 1K and SI Appendix, Fig. S1A) reflect collateralization by individual neurons, or rather a mixed population, each of which has relatively restricted, specific projections. To investigate this issue, we performed collateralization mapping of VMHvlEsr1 neurons, using a modification of a previously described method (16). In this approach, a Cre-dependent, retrogradely transported HSV encoding FLPo recombinase is injected into one projection target of Esr1+ neurons, while a FLPo-dependent AAV encoding GFP is injected into the VMHvl of Esr1-Cre mice (Fig. 3 A and B). This intersectional strategy results in GFP expression specifically in VMHvlEsr1 neurons that project to the target region-of-interest. Because GFP is freely diffusible, it fills each neuron, labeling any collateral projections to other targets, which can then be identified by GFP expression (Fig. 3 A and B). This method is relatively unbiased, in comparison with dual retrograde labeling from preselected targets, and allows identification of multiple collateral projections in a single experiment. In this case, we used a Cre-dependent HSV-FLPo, rather than a Cre-dependent CAV-FLPo, as originally reported (16), because we found that the latter exhibited a high degree of bias (tropism) for different types of inputs to the injected region.
Fig. 3.
VMHvlEsr1 subpopulations collateralize to multiple, distinct targets. (A) Schematic illustrating experimental strategy for labeling collaterals of VMHvlEsr1 neurons that project to the MPOA. Representative images of coronal sections showing AAV-GFP expression in collateral projections of VMHvlEsr1 neurons that project to the MPOA are shown (Right). (B) Schematic illustrating experimental strategy for labeling collaterals of VMHvlEsr1 neurons that project to the PAG. Representative images of coronal sections showing AAV-GFP expression in collateral projections of VMHvlEsr1 neurons that project to the PAG shown (Right). (C) Percent of total projection strength in each of 20 collateral targets for VMHvlEsr1 neurons that project to the MPOA (orange bars, n = 2) and VMHvlEsr1 neurons that project to the PAG (blue bars, n = 3). Bars show mean + SEM. There is a strong interaction effect by two-way ANOVA (P = 0.0001), with the AHN and PRC reaching significance after correcting post hoc tests for multiple comparisons (*P < 0.05, Sidak correction). Projections to the MPOA and PAG were omitted from the analysis. (D) Scatter plot of the location along the A–P axis relative to the VMHvl (x axis) versus the difference in percent of total collaterals observed in each region between MPOA- and PAG-projecting populations (percent of total for MPOA − percent of total for PAG; y axis). There is a significant correlation between A–P position and bias toward collateralization from MPOA (anterior regions) vs. PAG (posterior regions) (R2 = 0.47, P < 0.001). (E) Schematics illustrating extreme possibilities for the underlying collateral connectivity that could yield these results. Individual neurons could target all downstream regions (Top), there could be a single broadly collateralizing population (Middle), or, minimally, subpopulations could target different combinations of two downstream regions (Bottom). See SI Appendix, Fig. S3 for collateralization analysis of LSv-projecting VMHvl neurons.
Initially, we injected Cre-dependent HSV-FLPo in two major targets of VMHvlEsr1 neurons, representing the anterior and posterior projection domains, respectively: the MPOA and dorsal PAG (Fig. 3 A and B). In striking contrast to results reported for ARCAgrp, MPOAGal, and DMHGal neurons (22, 23, 26), we observed a high degree of collateralization among VMHvlEsr1 neurons, consistent with an initial report in female rats (31). For example, injection of HSV-LS1L-FLPo into the MPOA resulted in collateral projections to at least five major areas in addition to the MPOA itself, including the LS, AVPV, adBNST, AHN, and PVN (Fig. 3 A and C). Similarly, injection of the retrograde virus into the dorsal PAG resulted in collateral projections to at least six different areas in addition to dPAG, including the adBNST, MPOA, AHN, zona incerta (ZI), SPFp, and MRN (Fig. 3 B and C). These data indicate that at least some individual VMHvlEsr1 neurons collateralize to multiple targets (Fig. 3E).
Subsets of VMHvlEsr1 Neurons Exhibit an Anterior or Posterior Bias in Collateralization Pattern.
Further analysis of these data revealed an unexpected finding: although there was qualitative overlap in the collateral targets of VMHvlEsr1 neurons back-labeled from either the MPOA or dmPAG, there were important quantitative differences as well (Fig. 3 C and D). VMHvlEsr1 neurons that project to the MPOA, which is located anterior to the VMH, collateralized significantly more strongly to other anteriorly located targets, while VMHvlEsr1 neurons projecting to the dmPAG, which is located posterior to the VMH, collateralized more strongly to other posteriorly located targets (Fig. 3 C and D). Two-way ANOVA revealed a strong interaction between the HSVLS1L-FLPo injection site (MPOA vs. PAG) and the distribution of labeling in collateral projection domains (Fig. 3C) (P = 0.0001, MPOA and PAG omitted from the analysis). We also observed a strong correlation between the A–P location of different target regions, and their relative collateralization strength between MPOA- and PAG-projecting populations (Fig. 3D) (R2 = 0.47, P < 0.001).
A similar bias was observed when comparing the collateral projections of VMHvlEsr1 neurons back-labeled from the LSv, another region anterior to the VMH, to those back-labeled from the PAG (SI Appendix, Fig. S3 A–C), while comparison of collaterals of VMHvlEsr1 neurons back-labeled from the LSv and MPOA revealed no significant differences (SI Appendix, Fig. S3 D and E). Thus, although VMHvlEsr1 neurons as a whole collateralize extensively, we find evidence of subpopulations that project to combinations of target regions located either anterior or posterior to the VMH itself (Fig. 3 C and D). However, within each of these two subpopulations, these data do not distinguish between a range of possible connectivity patterns, consistent with the results, which may include some neurons with projections to a single target (Fig. 3E).
Projection-Defined Subpopulations of VMHvlEsr1 Neurons Differ in Soma Location and Size.
Our finding of projection-biased subpopulations led us to analyze characteristics of these Esr1+ subpopulations in the VMHvl, particularly as previous studies have described differences in cell morphology in the VMH (59⇓–61). Interestingly, we observed that the cell somata of the anteriorly vs. posteriorly projecting VMHvlEsr1 neurons described above exhibit a distinct and complementary distribution along the A–P axis: anteriorly projecting cells (injected with retrograde HSVLS1L-FLPo virus in the MPOA or LSv) were located in the more posterior domain of the VMHvl (−1.58 to −2.06 mm from Bregma), while posteriorly projecting cells (injected with retrograde HSVLS1L-FLPo virus in the PAG) were located in the more anterior region of the VMHvl (−1.34 to −1.82 mm from Bregma) (Fig. 4 A and B and SI Appendix, Fig. S3F). This between-animal comparison was confirmed by a within-animal comparison using dual injections of HSV-LS1L-mCherry into the MPOA and of HSV-LS1L-eYFP into the dmPAG of Esr1-Cre mice (Fig. 4 C and D). Serial sectioning revealed opposing gradients of dmPAG- and MPOA-projecting neurons along the A–P axis, with the former peaking more anteriorly (−1.34 to −1.46 mm from Bregma) and the latter peaking more posteriorly (−1.7 mm from Bregma) (Fig. 4D). Moreover, within individual sections containing both back-labeled populations, dmPAG-projecting and MPO-projecting VMHvlEsr1 neurons were largely nonoverlapping [Fig. 4C, (“overlay”) and Fig. 4D] (overlap less than expected based on random distribution, P < 0.01).
Fig. 4.
Distinct characteristics of VMHvlEsr1 neurons that project to the MPOA vs. PAG. (A) Representative images (Upper) and heatmap (Lower) showing the distribution along the A–P axis of VMHvlEsr1 neurons back-labeled with Cre-dependent HSV that project to the MPOA (Upper) versus the PAG (Lower) (n = 2/each). (B) Schematic illustrating the complementary position of back-labeled neurons in the VMHvl. (C) Representative images of coronal sections showing the distribution of neurons in the VMHvl that were back-labeled via injection of Cre-dependent HSV-mCherry into the PAG and Cre-dependent HSV-EYFP into the MPOA of Esr1-Cre mice. High-magnification images of labeled VMHvl neurons shown in the rightmost panels correspond to the boxed region in the Bottom-Center micrograph. Arrowheads point to double-labeled cells. (D) Quantification of the distribution of back-labeled cells in the VMHvl (mean ± SEM, n = 3). (E) Representative confocal images of VMHvl Esr1 cell bodies back-labeled using Cre-dependent HSV from either the MPOA (Left) or PAG (Right). (F) Cell volume of MPOA- vs. PAG-projecting VMHvlEsr1 neurons back-labeled as in E (mean ± SEM, n = 4 mice/each; total neurons: n = 997 from MPOA and n = 522 from PAG, **P < 0.001). (G) Average fiber mass for MPOA- vs. PAG- projecting VMHvlEsr1 neurons back-labeled as in E (mean ± SEM, n = 4 mice/each, *P < 0.01).
Further analysis indicated that the average somata diameters of the MPOA- and PAG-projecting neurons were significantly different, with the latter being almost 60% larger than the former (964 ± 65 µm3 vs. 609 ± 46 µm3, P < 0.001) (Fig. 4 E and F). In addition, the average fiber mass per cell (an indirect measure of branching within VMHvl) was significantly larger for PAG-projecting than for MPOA-projecting Esr1+ neurons (P < 0.01) (Fig. 4 E and G). Taken together, these data reveal significant differences in cell body distribution (along the A–P axis of the 3 VMHvl), cell somata size, and local branching for anteriorly vs. posteriorly projecting Esr1+ neurons in the VMHvl, as well as minimal overlap among these cells at A–P positions where both are located, suggesting that they represent distinct subpopulations of Esr1+ neurons.
Projection-Biased Subsets of Esr1+ Neurons Receive Similar Inputs.
The existence of different subpopulations of Esr1+ neurons exhibiting anterior or posterior biases in their collateralization patterns raised the question of whether these subpopulations differ in their inputs. To address this question directly, we performed a modification of the TRIO (tracing the relationship between input and output) method (16), in which monosynaptic, retrograde, transsynaptic tracing is performed on subsets of Esr1+ neurons, as defined by their projections. In this experiment, Esr1-Cre mice were injected in either the MPOA or PAG with a Cre-dependent HSV-LS1L-FLPo virus to express FLPo in Esr1+ neurons with anteriorly vs. posteriorly biased projections, respectively; these same mice were injected in the VMHvl with FLPo-dependent AAVs encoding TVA-mCherry and RG for rabies tracing. Following 3 wk of incubation, the animals were additionally injected in the VMHvl with EnvA-pseudotyped rabies∆RG expressing GFP (Fig. 5 A and B). Following a further 6 d of incubation, animals were killed and the pattern of GFP labeling quantified.
Fig. 5.
Projection-biased VMHvl Esr1 subpopulations receive similar inputs. (A) Tracing inputs to VMHvlEsr1 neurons that project to the MPOA. Schematic of experiment shown (Upper) with representative images of coronal sections showing rabies labeled inputs below. (B) Tracing inputs to VMHvlEsr1 neurons that project to the PAG. Schematic of experiment shown (Upper) with representative images of coronal sections showing rabies labeled inputs below. (Scale bars, 250 μm in A and B.) (C) Quantification of the proportion of total inputs from 29 regions (mean + SEM, n = 2/each). There is no significant interaction observed by two-way ANOVA (P < 0.96) or differences between specific regions. See SI Appendix, Fig. S4 for distribution of soma locations for MPOA vs. PAG back-labeled cells. (D) Schematic illustrating results of collateralization (Fig. 3) and input–output mapping in which subpopulations of VMHvlEsr1 neurons collateralize to distinct combinations of anterior or posterior targets yet receive the same inputs. (E) Schematic showing overall summary of VMHvlEsr1 circuit architecture.
Interestingly, despite the differences in cell body location, size, and the separation of projection targets between these two VMHvlEsr1 populations, retrogradely labeled input cells could be found in similar structures following rabies tracing from each of these two VMH populations (Fig. 5 A–D). There were no statistically significant differences in the proportion of back-labeled cells in each of 29 input areas analyzed, and no significant interaction between projection target and the proportion of labeling in input regions (two-way ANOVA, P < 0.96) (Fig. 5C). This does not exclude the existence of subtle but biologically significant specificity that is obscured by the multiple sources of variability in this four-virus experiment.
To confirm that rabies labeling was in fact generated from the distinct projection populations of VMHvlEsr1 neurons described above (Fig. 4), we quantified the distribution of viral back-labeled (i.e., HSV-LS1L-FLPo–expressing) and rabies-infected starter cells (Rabies-GFP+, TVA-mCherry+), along the A–P axis of the VMHvl, in mice where rabies tracing was performed from PAG–back-labeled vs. MPOA–back-labeled cells. Similar opposing gradients of cell somata distributions were observed, as in the collateralization-mapping experiments (Fig. 4A), with the distribution of MPOA–back-labeled cells shifted posteriorly relative to that of PAG–back-labeled cells (SI Appendix, Fig. S4). Taken together, these data indicate that MPOA-projecting (posteriorly located, anteriorly collateralizing) vs. PAG-projecting (anteriorly located, posteriorly collateralizing) VMHvlEsr1 neurons receive a similar combination of presynaptic inputs (Fig. 5D).
Discussion
Esr1+ neurons in VMHvl control social investigation, mounting, and fighting, as well as internal states related to these behaviors. To investigate the anatomical input–output logic of this brain region and to provide a foundation for understanding this functional diversity, we have carried out systematic mapping of inputs to and outputs from these neurons using six different types of viral-genetic tracing systems: (i) anterograde projection mapping; (ii) retrograde, monosynaptic, transneuronal tracing; (iii) INSERT; (iv) anterograde, polysynaptic, transneuronal tracing; (v) collateralization mapping; and (vi) mapping the relationship between inputs and projection patterns. This combination of tracing techniques has afforded a brain-wide overview of the collateralization patterns of Esr1+ neuronal projections, and of the input–output logic of these neurons as defined by the intersection of gene expression and projection pattern.
Fan-In/Fan-Out Organization and Bidirectionality of VMHvl Inputs and Outputs.
Previous studies of VMH connectivity using nongenetically targeted tracers have demonstrated that this nucleus receives inputs from and projects to diverse structures (41, 42). The present studies confirm and extend these and other classic studies of VMHvl connectivity (40, 45) in several important ways. First, they demonstrate a similarly high degree of input convergence and of output divergence for specifically the Esr1+ subset of VMHvl neurons. It is somewhat surprising that the overall pattern of inputs and outputs is so similar for Esr1-restricted vs. nongenetically restricted labeling of VMHvl neurons, given that the former only represent ∼40% of the latter (7). However, the VMHvlEsr1 population is itself heterogeneous (9), and our data reveal heterogeneity in collateralization patterns within this population. Furthermore, some of the inputs and projections may specifically map to Esr1+ neurons in the subjacent TU region due to spillover of injected viruses. Projection mapping of more specific VMHvlEsr1 neurons defined by intersectional and activity-dependent genetic labeling methods (50) may help to resolve this issue.
Second, VMHvlEsr1 neurons demonstrate a high degree of bidirectional connectivity between their inputs and outputs: of 30 input regions analyzed, 90% also receive feedback projections from Esr1+ neurons in VMHvl, and the remaining 10% receive indirect, polysynaptic feedback projections. Such a direct comparison would be difficult to make based on earlier studies, which typically examined either inputs or outputs, but not both. However, it is unknown how the different viral tracing techniques used in this comparison (i.e., AAV-GFP vs. rabies) relate to functional synaptic connectivity. Nevertheless, the data reveal that the vast majority of the inputs and outputs of VMHvlEsr1 neurons are located subcortically, particularly in the hypothalamus and extended amygdala, and that most of these connections are bidirectional. However, there is input from the SUBv (hippocampus), as well as from the mPFC. Interestingly, the ventral hippocampus does not receive direct feedback from the VMHvl, although we observe an indirect recurrent projection to the SUBv.
Third, using a two-virus collateralization mapping technique not previously applied to the VMH, we find that Esr1+ neurons collateralize to multiple (≥5) targets (fan-out). These findings contrast with previous viral-based unbiased collateralization mapping studies of hypothalamic populations involved in feeding or parenting behavior that reported mainly one-to-one projections (22, 24). Fourth, and most important, we find that VMHvl contains at least two subpopulations of Esr1+ neurons with different cell body sizes, local branching patterns, and differential soma distributions along the A–P axis, which exhibit distinct anterior vs. posterior biases in their pattern of collateralization. Nevertheless, these two projection-defined, Esr1+ subpopulations of VMHvl neurons receive a similar distribution of fan-in inputs from the same anatomical regions, as assessed using the TRIO method (Fig. 5D).
VMHvlEsr1 Neurons Collateralize Broadly Yet Specifically.
Classic studies of collateralization in the hypothalamus typically have employed injection of different retrograde tracers into preselected target regions, and reported varying degrees of colabeling in the nuclei examined, ranging from a few percent to more than half (27⇓–29, 31, 62⇓⇓–65). However, this strategy suffers from a number of limitations, including preselection of targets and the ability to examine only two to three targets at a time. To date, systematic and unbiased collateralization mapping has been performed for only a few genetically defined hypothalamic populations using viral techniques similar to those applied here: projections of ARCAgrp neurons, which control hunger, exhibit little collateralization and a high degree of target specificity, suggesting a one-to-one organization (22). Similar observations have recently been reported for MPOAGal neurons involved in parenting behavior (24). Interestingly, both of those populations are GABAergic.
Here we have shown that VMHvlEsr1 neurons, which are largely glutamatergic, exhibit substantial collateralization in their projections. While our population data demonstrate that at least some VMHvlEsr1 neurons collateralize to multiple targets, they do not prove that individual neurons collateralize to all five to six targets, nor do they exclude that some neurons may project exclusively to single targets (Fig. 3E). Whole-brain mapping of single VMHvlEsr1 neuronal projections in sparsely labeled preparations, and bar-coded viral labeling and terminal sequencing (66) will be necessary to resolve this issue. Collateralization could, in principle, impose temporal synchrony on targets of VMHvlEsr1 neurons and coordinate their activity. Given this collateralization, assigning specific functions to individual projections (e.g., by optogenetic terminal stimulation) (22) will be technically challenging, due to back-propagation and collateral redistribution of action potentials from optogenetically stimulated terminals.
Although VMHvl Esr1+ neurons project to multiple targets, we nevertheless observed that subpopulations of VMHvlEsr1 neurons exhibit biases in their collateralization to different combinations of target regions. One pattern is biased toward more posterior structures, while the other is biased toward anterior structures. The neurons exhibiting these collateralization biases, moreover, exhibit differences in A–P location within VMHvl, differences in cell body size and degree of local branching, and are largely nonoverlapping in dual-labeling experiments. This suggests that they may represent distinct cell classes or cell types, possibly corresponding to those described using classic Golgi staining (67). Clarification of this issue could be achieved using single-cell RNA sequencing in combination with retrograde labeling, FISH, and quantitative analysis of cell morphology.
Overall System Architecture of VMHvlEsr1 Neurons.
Although the results presented here indicate that VMHvlEsr1 neurons exhibit a high degree of connectional complexity, some broad features of system architecture can be extracted (Fig. 5E). First, despite the high level of bidirectional connectivity (Fig. 1), there are a few areas that are strongly biased inputs to, or outputs from, these neurons. The former include TTd, an olfactory processing area; the SFO, an interoceptive circumferential organ; the ventral hippocampus (SUBv), and the mPFC. These areas tend to be located anterior to the VMH. The latter include the PAG and MRN, which are premotor regions located posterior to the VMH. In contrast, VMHvlEsr1 neurons exhibit the strongest level of bidirectional connectivity with other hypothalamic nuclei (MPOA, AHN, ARC, DMH) and extended amygdalar (MeA, BNSTpr) regions, many of which are located at similar A–P levels as the VMH (Fig. 1P).
This pattern of connectivity suggests that there is a sparse A–P flow of information through the VMH, from sensory/cognitive to premotor regions, respectively, with a network of highly recurrent connectivity interposed between these input and output processing streams (Fig. 5E). The high degree of feedback between VMHvlEsr1 neurons and the surrounding amygalo-hypothalamic structures is suggestive of an analog controller. Given the limited set of premotor target structures of VMHvlEsr1 neurons, such a system may function as a circuit dedicated to the finely tuned, dynamic control of a small set of social behaviors, including aggression, social investigation, and mounting, and their associated internal states.
This overall system architecture provides an attractive a posteriori rationalization for the two divergent subpopulations of VMHvlEsr1 neurons identified here. On the one hand, the posteriorly projecting population conveys output from the nucleus to premotor structures that control behavior (Fig. 5E, Right). On the other hand, the anteriorly projecting population provides feedback to hypothalamic and amygdalar circuitry (Fig. 5E, Center). This circuitry may control internal state, competition with opponent behaviors, or other aspects of behavioral decision-making. Such an organization raises the question of how these two VMHvlEsr1 populations communicate with, and are coordinated with, each other. Communication could involve local interneurons within the VMHvl (Fig. 5E, dashed arrows), while coordination could be achieved through the observed parallelization of inputs to both subpopulations. While clearly speculative, this inferred system architecture makes a number of predictions that can be explored in future studies.
Open Questions.
The methods used in this study leave open several important questions. First, we do not yet know the degree of neuronal subtype diversity among VMHvlEsr1 neurons, and its relationship to overall VMHvl connectional architecture. It is already clear from recently published work that the VMHvl contains subpopulations of neurons with social behavior functions distinct from those involved in aggression (6, 7, 9, 50). This microheterogeneity leaves open the possibility that simplifying features and principles will emerge when the connectivity and function of these more specific subpopulations is eventually mapped.
Second, we do not know the cellular identities of the various inputs and outputs identified in this study. We have identified both glutamatergic and GABAergic neurons that project to VMHvl, but which of these cells are monosynaptic inputs to Esr1+ neurons, and how these specific inputs relate to downstream targets, remains unknown. Similarly, we do not know the precise combinations of downstream regions targeted by individual VMHvlEsr1 neurons, or the identities of the cells that are postsynaptic to these projections. The latter is important because a given bidirectional projection could mediate either net positive- or net negative-feedback, depending on whether the immediate postsynaptic targets are, for example, excitatory or local inhibitory neurons, respectively. Connectivity mapping strategies involving transsynaptic tracing, single-cell RNA sequencing, and bar-coding (66) may help to resolve these issues.
Finally, and most importantly, a major frontier lies in understanding VMHvl function in the context of the broader meso-scale networks described here. Next-generation tools for simultaneously recording from and manipulating multiple brain regions simultaneously at cellular resolution, while integrating anatomic and transcriptomic information about different cell types within each region, offer an exciting opportunity to clarify the fine-grained system architecture within this overall circuitry, and may reveal a simplifying organizational logic to the seemingly daunting complexity described here.
Methods
All animal experiments were performed in accordance with NIH guidelines and approved by the California Institute of Technology Institutional Animal Care and Use Committee. For all injections, Esr1cre mice (8- to 12-wk-old, male and female) were anesthetized with isoflurane and mounted on a stereotaxic frame. For anterograde tracing, AAV1-FLEX-EGFP virus was injected by iontophoresis. Mice were killed 4 wk later and brains analyzed by TissueCyte 1000 serial two-photon tomography. For monosynaptic retrograde tracing, AAV1-DIO-TVA66T-dTom-N2cG (or AAV1-DIO-TVA66T-dTom for rabies glycoprotein-less control) virus was injected by iontophoresis into the VMHvl of Esr1-Cre male mice, followed by rabies EnvA-N2c-histone-GFP 3 wk later into the same location. Further details regarding rabies reagents are available on request from S.Y. and A.C. Mice were killed 9 d later and processed as above.
For subsequent experiments, serial sections were generated using a cryostat and images were acquired by confocal microscopy for starter cell images (Oympus FluoView FV1000), or by slide scanner for quantification of starter cell location and labeling outside of the VMHvl (Olympus VS-ASW-S6). For the glutamatergic and GABAergic inputs study, HSV-LS1L-mCherry was injected into the VMHvl of vGLUT2-cre or vGAT-cre male mice. Mice were killed ∼3 wk later. For poly-synaptic anterograde tracing, HSV1-H129ΔTK-TT viruses were injected into the VMHvl of Esr1-Cre males, and mice were killed 40–48 h later depending on health assessments. For the collateral projection study, HSV-LS1L-FLPo viruses were injected into projection targets of VMHvlEsr1 neurons in Esr1-Cre male mice. At the same time, FLP-dependent AAVDJ-fDIO-EYFP was injected into the VMHvl and mice were perfused 28–30 d later. For the projection-based input study, HSV-LS1L-FLPo was injected into the MPOA or PAG in Esr1-Cre male mice. At the same time, a 1:1 mixture of AAVDJ-fDIO-TVA and AAV8-fDIO-RG viruses were injected into the VMHvl, followed 3 wk later by rabies EnvA-ΔG-GFP. Mice were killed 6 d later. For duel-retrograde labeling, HSV-LS1L-mCherry and HSV-LS1L-EYFP was injected into the PAG and MPOA, respectively, in the same VMHvlEsr1 male mouse. Mice were killed ∼3 wk later.
For quantification, images were analyzed using Fiji/ImageJ or Imaris Image Analysis Software (Bitplane, Oxford Instruments). Please see SI Appendix, Supplemental Methods for more detailed information.
Acknowledgments
We thank Dr. Miquel Chillón Rodriguez, Dr. Fan Wang, Dr. Liqun Luo, and Dr. Rachael Neve for providing CAV-cre, retrograde Lenti-cre, TRIO reagents, and retrograde HSV-fDIO-cre viruses, respectively, for pilot experiments; Dr. Lynn Enquist and the Center for Neuroanatomy with Neurotropic Viruses viral core center (Princeton University) for H129 recombinants; Dr. Kimberly Ritola of Janelia Research Campus for G-deleted EnvA rabies viruses; Bin Yang for help with cell-volume measurement software; Ben Ouellette for technical help; C. Chiu for laboratory management; and G. Mancuso for administrative assistance. This work was supported by NIH Grants MH070053, MH085082, and MH112593 (to D.J.A.). B.W. is a Howard Hughes Medical Institute Fellow of the Life Sciences Research Foundation. D.J.A. is an Investigator of the Howard Hughes Medical Institute.
Footnotes
↵1L.L. and S.Y. contributed equally to this work.
- ↵2To whom correspondence may be addressed. Email: wuwei{at}caltech.edu or bweissb{at}gmail.com.
Author contributions: L.L., D.-W.K., D.J.A., and B.W. designed research; L.L. and D.-W.K. performed research; S.Y., A.C., J.H., and H.Z. contributed new reagents/analytic tools; L.L., D.-W.K., D.J.A., and B.W. analyzed data; and L.L., D.J.A., and B.W. wrote the paper.
Reviewers: C.B.S., Harvard Medical School, Beth Israel Deaconess Medical Center; and R.B.S., Vanderbilt University.
The authors declare no conflict of interest.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1817503116/-/DCSupplemental.
- Copyright © 2019 the Author(s). Published by PNAS.
This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).
References
Connectional architecture of a mouse hypothalamic circuit node controlling social behavior
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