# Functional Principles of Posterior Septal Inputs to the Medial Habenula

Yo Otsu, Salvatore Lecca, Katarzyna Pietrajtis, Charly Vincent Rousseau, Païkan Marcaggi, Guillaume Pierre Dugué, Caroline Mailhes-Hamon, Manuel Mameli, Marco Alberto Diana

► To cite this version:

Yo Otsu, Salvatore Lecca, Katarzyna Pietrajtis, Charly Vincent Rousseau, Païkan Marcaggi, et al. Functional Principles of Posterior Septal Inputs to the Medial Habenula. Cell Reports, 2018, 22 (3), pp.693-705. 10.1016/j CELREP.2017.12.064. hal-01708543

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# Functional Principles of Posterior Septal Inputs to the Medial Habenula

## Graphical Abstract

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## Authors

Yo Otsu, Salvatore Lecca,
Katarzyna Pietrajtis, ...,
Caroline Mailhes-Hamon, Manuel Mameli,
Marco Alberto Diana

## Correspondence

marco.diana@upmc.fr

## In Brief

The medial habenula (MHb) contributes to aversive state expression by linking forebrain areas to midbrain monoaminergic centers. Here, Otsu et al. provide a comprehensive characterization, from synaptic physiology to behavioral outcomes, of its glutamatergic afferents from the posterior septum, suggesting that septal stimulation in the MHb promotes locomotion and anxiolysis.

## Highlights

* Medial habenular (MHb) neurons receive sparse inputs from the posterior septum (PS)

* PS afferents to the MHb function in a purely glutamatergic mode

* Excitatory ionotropic and inhibitory metabotropic receptors convey PS inputs in the MHb

* PS activation in the MHb increases locomotion and induces anxiolysis

<figure><img src="image_3.png" /></figure>
# Functional Principles of Posterior Septal Inputs to the Medial Habenula

Yo Otsu,<fnref n="1" />,<fnref n="3" /> Salvatore Lecca,<fnref n="2" />,<fnref n="4" /> Katarzyna Pietrajtis,<fnref n="1" />,<fnref n="7" /> Charly Vincent Rousseau,<fnref n="1" />,<fnref n="5" /> Païkan Marcaggi,<fnref n="1" />,<fnref n="6" />

Guillaume Pierre Dugué,<fnref n="1" /> Caroline Mailhes-Hamon,<fnref n="1" /> Manuel Mameli,<fnref n="2" />,<fnref n="4" /> and Marco Alberto Diana<fnref n="1" />,<fnref n="7" />,<fnref n="8" />,*

## SUMMARY

The medial habenula (MHb) is an epithalamic hub contributing to expression and extinction of aversive states by bridging forebrain areas and midbrain monoaminergic centers. Although contradictory information exists regarding their synaptic properties, the physiology of the excitatory inputs to the MHb from the posterior septum remains elusive. Here, combining optogenetics-based mapping with *ex vivo* and *in vivo* physiology, we examine the synaptic properties of posterior septal afferents to the MHb and how they influence behavior. We demonstrate that MHb cells receive sparse inputs producing purely glutamatergic responses via calcium-permeable α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA), heterotrimeric GluN2A-GluN2B-GluN1 N-methyl-D-aspartate (NMDA) receptors, and inhibitory group II metabotropic glutamate receptors. We describe the complex integration dynamics of these components by MHb cells. Finally, we combine *ex vivo* data with realistic afferent firing patterns recorded *in vivo* to demonstrate that efficient optogenetic septal stimulation in the MHb induces anxiolysis and promotes locomotion, contributing long-awaited evidence in favor of the importance of this septo-habenular pathway.

## INTRODUCTION

The habenular complex is a phylogenetically old structure (Stepphenson-Jones et al., 2012) involved in the development, maintenance, and extinction of aversive states (Hikosaka, 2010). The habenula links limbic forebrain areas with subcortical nuclei

releasing modulatory neurotransmitters (Hikosaka, 2010). In particular, the neurons of its medial subdivision, the medial habenula (MHb), control the serotoninergic raphe nuclei via its mixed cholinergic/glutamatergic projections (Ren et al., 2011) to the interpeduncular nucleus (IPN) (Gardon et al., 2014; Herkenham and Nauta, 1979). The MHb-IPN pathway has recently been characterized in view of its possible involvement in aversive aspects of nicotine addiction and withdrawal (Hsu et al., 2013) and of fear-related aversive states (Soria-Gómez et al., 2015; Zhang et al., 2016). In contrast with this well identified downstream connectivity, very little is known about the physiology of the only upstream source of glutamatergic excitation to the MHb, the posterior septum (PS) (Herkenham and Nauta, 1977), composed of the septofimbrial (SFI) and triangular nuclei (triangular septum [TS]) impinging on the ventral subdivision of the MHb (vMHb), and of the bed nucleus of the anterior commissure contacting the dorsal MHb (dMHb) (Qin and Luo, 2009). Synaptically, early studies identified mixed purinergic and glutamategic excitatory synaptic inputs to the MHb from the PS in the rat (Edwards et al., 1992), characterized by the complete absence of functional N-methyl-D-aspartate (NMDA) receptors and by the calcium impermeability of the α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptors mediating the glutamatergic component (Robertson and Edwards, 1998). These data could not be confirmed (Hamann and Attwell, 1996) and have not been re-examined so far.

Behaviorally, irreversible deletion of these inputs has been found to modify mobility, anxiety, and fear responses in mice (Yamaguchi et al., 2013), indicating their contribution to locomotion and emotional states. However, no information is available concerning the behavioral outcome of real-time modulations of the activity of PS projections.

By combining a large spectrum of techniques ranging from immunohistochemistry to two-photon calcium imaging, optogenetics-based mapping, and *ex vivo* and *in vivo* physiology, we provide here a comprehensive analysis of septo-habenular synaptic properties and identify some of its physiological functions.

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<footnote n="1">¹Institut de Biologie de l'École Normale Supérieure, INSERM U1024, CNRS UMR8197, École Normale Supérieure, PSL Research University, Paris, France</footnote>

<footnote n="2">²Institut du Fer à Moulin, INSERM-UPMC UMR-S 839, Paris, France</footnote>

<footnote n="3">³Present address: Institut du Fer à Moulin, INSERM-UPMC UMR-S 839, Paris, France</footnote>

<footnote n="4">⁴Present address: Department of Fundamental Neuroscience, University of Lausanne, Lausanne, Switzerland</footnote>

<footnote n="5">⁵Present address: Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London W1T 4JG, UK</footnote>

<footnote n="6">⁶Present address: INMED/INSERM U901, Parc scientifique de Luminy, 163 route de Luminy, Marseille 13009, France</footnote>

<footnote n="7">⁷Present address: Sorbonne Universités, UPMC Université Paris 06, INSERM, CNRS, Neurosciences Paris Seine-Institut de Biologie Paris Seine (NPS-IBPS), 75005 Paris, France</footnote>

<footnote n="8">⁸Lead Contact</footnote>

<footnote>*Correspondence: marco.diana@upmc.fr
https://doi.org/10.1016/j.celrep.2017.12.064</footnote>
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Inspired by our recordings of the *in vivo* firing patterns of MHb-projecting PS neurons, we demonstrate that MHb cells are contacted by sparse fibers that operate exclusively in a glutamatic mode via calcium-permeable AMPARs, heterotrimeric NMDARs, and inhibitory group II metabotropic glutamate receptors (mGluRIs). Moreover, we describe the heterogeneity of MHb cell responses to optogenetic stimulation of PS fibers, examining the subtle interactions between ionotropic and metabotropic components in determining the temporal profile of firing changes. Finally, we devise a physiologically relevant optogenetic protocol to demonstrate that activation of the septohabenular projections increases mouse mobility and produces anxiolysis.

<caption>**Figure 1.** *In Vivo Firing Features of MHb-Projecting Neurons in the PS*</caption>

(A) The recording site of a PS cell is shown on the left. The electrode position was labeled with pontamine sky blue dye. Center: coronal section illustrating the stimulating electrode track (red arrows) within the MHb (white arrow). Right: the positions of all antidromically identified cells recorded in the PS are plotted schematically.

(B and D). The action potential waveform and pattern activity of a typical PS neuron is illustrated in (B). Plots and bar graphs reporting firing activity and coefficient of variation of the inter-spike interval (ISI) of all cells are depicted in (D).

(C) Typical traces showing the collision test allowing identification of MHb-projecting cells following antidromic stimulation. The left traces display an antidromically propagating spike (ant, top trace) following MHb stimulation (gray arrow) and its collision (') when a spontaneous action potential (spont, bottom trace) preceded stimulation. On the right, the time histogram is shown for 20 stimulations of this same neuron, provided at t = 0 (1-ms bins, 0.5 Hz stimulation frequency). The gray arrow indicates stimulation onset. All antidromic spikes recorded occurred in correspondence with the red bin.

(E) Average ISI histogram of burst-displaying PS neurons. Data from all recorded cells are pooled, with the red line representing mean values and the black one depicting the SEM. A typical recording extract, showing spikes belonging to 3 distinct bursts (green dots), is shown in the inset.

(F) Graphs illustrating the main parameters of the bursting activity recorded in PS neurons.

## RESULTS

### *In Vivo Firing Pattern of MHb-Projecting Neurons in the PS*

Our research aimed to provide a comprehensive portfolio of information concerning the synaptic physiology and behavioral role of PS inputs to the MHb. No information was available concerning neuronal activity in the PS before this study. A central initial step of our investigation thus consisted of the identification of *in vivo* PS firing patterns.

We performed single-unit recordings of the activity of MHb-projecting neurons in the PS of anesthetized mice (Figure 1). Cells were identified using high-frequency collision methods following antidromic stimulation (mean latency from stimulation, 6.2 ± 0.5 ms; n = 12 cells from 3 mice; Figure 1C) via a bipolar electrode placed in the MHb (Figure 1A; Glangetas et al., 2013). Iontophoretic application of pontamine sky blue allowed us to verify *post hoc* the position of recording sites (Figure 1A).

We examined several distinct parameters of neuronal activity (Figures 1D and 1F). Overall, the firing patterns of PS cells were irregular (Figures 1D and 1E), as illustrated by the coefficient of variation (CV) of the inter-spike interval (ISI; 138.5% ± 7.0%, n = 12). Moreover, most cells showed recurrent bursting
A

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Electrical stimulation

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Optogenetic stimulation

a

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MHb
VGluT2-Cre mice

b

Hippocampal Granule cells
Thy1-ChR2 mice

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ChR2-YFP-expressing AAV in the PS of a VGluT2-Cre mouse. The dependence of lIePSC amplitudes on light power is illustrated for a typical experiment in the bottom graph, with corresponding raw traces (top right). Amplitudes showed discrete increasing steps. (b) The same stimulation approach was used in hippocampal granule cells of Thy1-ChR2 mice. In this case, the increase in lIePSC amplitudes with light was continuous, suggesting recruitment of a large number of afferent glutamatergic inputs. Both electrical and optogenetic responses were averaged over several repetitions (5 to 20) for each stimulation voltage and light power value, respectively. Error bars represent the SEM of the responses of a single cell to multiple trials at the stimulation intensities indicated on the x axes.

events lasting, on average, 16.2 ± 1.6 ms. In the recorded cells, 54.4% ± 8.9% of the total number of action potentials belonged to a burst, with the number of intra-burst spikes amounting to 2.9 ± 0.1 and occurring at an average intra-burst frequency of 224.8 ± 18.0 Hz (Figure 1F). Bursts per second appeared at an average frequency of 0.6 ± 0.1 Hz. The total firing frequency amounted to 5.0 ± 0.8 Hz.

These data provided relevant information for developing a proper *ex vivo* analysis of the synaptic properties of the septo-habenular pathway and for achieving consistent *in vivo* optogenetic activation.

## Individual MHb Neurons Receive Sparse PS Excitatory Input

We then examined the synaptic properties of the PS afferents in coronal brain slices.

The MHb is located symmetrically on both sides of the third ventricle (Figure 2A). Neurons in the MHb display a typical morphology consisting of short, varicosity-rich dendrites originating from small oval somata (Figure 2A; Kim and Chang, 2005).

We recorded cells exclusively from the vMHb. Following pharmacological block of GABAergic responses, we stimulated incoming excitatory fibers with an extracellular pipette while voltage-clamping MHb neurons (Figure 2B). Plotting the amplitude of the induced currents as a function of stimulation intensity revealed all-or-none responses consistent with stimulation of individual fibers (Figure 2B, right; n = 7). We then complemented these observations with an optogenetic approach. VGluT2-Cre mice were injected in the PS with a double-floxed adeno-associated virus (AAV) virus expressing ChR2 (Supplemental Experimental Procedures). Based on immunohistochemical staining, VGluT2 indeed appeared as a ubiquitous presynaptic marker for MHb glutamatergic afferents (Figure 2A). These injections led to presynaptic expression of ChR2-yellow fluorescent protein (YFP) throughout the vMHb (Figure 2C, a), in the same septal afferents stimulated via the “classical” extracellular electrical method (see below for more details).

PS afferents were optogenetically stimulated. When plotted as a function of light power, the amplitude of the responses showed few step-like increases (3 to 4), probably indicating recruitment of a sparse number of afferent fibers (Figure 2C, a; n = 6), supporting the data obtained via extracellular stimulation. As a comparison, we examined the effects of optogenetic activation of glutamatergic fibers onto hippocampal granule cells of mice expressing ChR2 under the control of the promoter for Thy1 (Wang et al., 2007). Consistent with the fact that granule cells receive a large number of excitatory inputs from the perforant pathway (Amaral et al., 2007), increasing the light intensity induced an almost continuous increase in light-induced excitatory postsynaptic current (lIePSC) amplitude (Figure 2C, b; n = 7). Importantly, both in the hippocampus and in the MHb, lIePSCs were completely blocked by tetrodotoxin (TTX) (500 nM), to 3.0% ± 1.8% (n = 5, p = 0.01) and to 3.5% ± 2.9% (n = 7, p = 0.001) of the control, respectively. These data suggest that the increases in lIePSC amplitudes with light power in the hippocampus likely originated from fiber recruitment, indirectly validating our experimental approach in the MHb.

In conclusion, these experiments demonstrate that MHb neurons receive sparse inputs from excitatory axonal afferents originating in the PS.

## Excitatory Inputs to MHb Neurons Are Purely Glutamatergic

Early studies reported that PS inputs showed a mixed glutamatergic/purinergic nature without functional NMDA currents (Edwards et al., 1992; Robertson and Edwards, 1998). We re-examined this issue. We found that inward currents issued from single electrical stimulations (ePSCs) had a conventional

## Figure 2. MHb Neurons Receive Sparse Afferents from the PS

(A) The MHb is highlighted in red in the schematic coronal brain section shown at top left. Bottom left: the MHb is illustrated at larger magnification in a slice in which VGluT2 was revealed immunohistochemically. VGluT2 marks the habenular glomeruli formed by glutamatergic terminals. On the right, the morphology of a typical MHb cell is shown. The neuron was filled with biocytin during whole-cell recording.

(B) Left: detail of the MHb from a slice, showing a whole-cell recording (Rec, right) and an extracellular stimulation electrode (Stim, left). EPSC amplitudes as a function of stimulation voltages are illustrated on the right for one neuron, with sample traces on top, showing the all-or-none nature of the evoked currents.

(C) The same type of experiment as in (B) but with an optogenetic approach. (a) YFP fluorescent signal in the vMHb (top left) following injection of a
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AMPA/NMDA glutamatergic profile (Figure 3A). The excitatory evoked postsynaptic current (eEPSC) average amplitudes were 369.3 ± 61.2 pA and 141.1 ± 21.0 pA at recording potentials of –60 mV and +50 mV (n = 23), respectively, with faster decay time constants at –60 mV (1.6 ± 0.1 ms) than at +50 mV (21.6 ± 4.4 ms, p < 0.001, n = 23; Figure 3A, a). The α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPAR) antagonist 2,3-dihydroxy-6-nitro-7-sulfamoyl-benzo[f]quinoxaline-2,3-dione (NBQX) (10 µM) almost completely abolished transmission at the hyperpolarized potential, to 4.4% ± 0.9% of the control (p < 0.001, n = 21), whereas it led to partial reduction of eEPSCs at the positive potential, to 72.4% ± 4.4% of the control (p < 0.001, n = 23). Co-application of the NMDAR antagonist (2R)-amino-5-phosphonopentanoate (APV) (50–100 µM) completely inhibited the remaining responses at both voltages, to 1.7% ± 0.7% (–60 mV, p = 0.004, n = 9) and 3.6% ± 0.6% of the control (+50 mV, p = 0.002, n = 10), demonstrating that single electric stimulations induced purely glutamatergic currents under our recording conditions (Figure 3A, b). Interestingly, the amplitudes of the AMPA and NMDA components showed great variability between cells (range, 50–1 200 pA; Figure 3A, c), although the NMDA/AMPA ratio was stable throughout the population tested (0.37 ± 0.08, p = 0.53, n = 23).

Mixed neurotransmission can be induced by stimulation trains (Ren et al., 2011). We thus examined the pharmacological profile of PS transmission during high-frequency trains (5 s, 50 Hz; Figure 3B). Repeated stimulations revealed 2 major properties of septo-habenular connections: asynchro-

<figure><img src="image_21.png" /><figcaption>Figure 3. Posterior Septal Inputs to the MHb Are Purely Glutamatergic</figcaption></figure>

(A). EPSCs show typical AMPA/NMDA profiles, with slower decay kinetics at +50 mV (top black traces) than at –60 mV (lower black traces) (a). Evoked responses were completely blocked following application of NBQX (red traces) and co-application of NBQX and APV (blue, right; b). The NMDA/AMPA amplitude ratio was correlated, although large variability in absolute values was observed between cells (c).

(B) Co-application of NBQX (alone in red traces) and APV (blue) completely blocked responses evoked by high-frequency trains (50 Hz for 5 s; a). Notice the rapid fatigue developing during the train, with transmission rapidly desynchronizing with respect to stimulation pulses (i and ii in a). The total charge transferred during trains is illustrated in (b), in control (black bar), after NBQX (red), and NBQX plus APV (red).

The data shown in this figure were obtained using extracellular stimulation. Stimulation artifacts were digitally removed for clarity. Pooled data are represented as mean ± SEM.

nous release developed rapidly in parallel with a powerful synaptic fatigue that reduced the total charge transferred in the last stimulation second to 32.4% ± 13.3% (4%–70%) of the corresponding

value obtained during the first second (Figure 3B, a; p = 0.03, n = 5).

Stimulation trains still induced purely glutamatergic currents. At –60 mV, NBQX reduced the total charge transferred during the trains to 13.9% ± 3.0% of the control (Figure 3B, b; p = 0.03, n = 5). The remaining component was completely blocked by co-application of APV, to 1.6% ± 1.3% (p = 0.03, n = 5).

In conclusion, under our recording conditions, we could find no evidence for mixed ionotropic neurotransmission at PS-MHb inputs, which appear to operate in a purely glutamatergic mode.

## AMPA Currents Are Mediated by Calcium-Permeable Receptors

AMPA transmission has been reported to be mediated by calcium-impermeable receptors in the MHb (Robertson et al., 1999). Consistently, our immunohistochemical data showed expression of both GluA1 and GluA2 AMPAR subunits in the MHb (Figure 4A). The insertion of GluA2 into AMPARs leads to both calcium impermeability and linearity of the IV curves of the currents. Surprisingly, examination of the electrically evoked AMPA currents (Figure 4B) revealed that synaptic currents displayed high rectification indexes (4.8 ± 0.3, n = 23), calculated as the ratio between AMPA EPSC amplitudes at –60 mV and at +50 mV. In comparison, perfect linearity of the current voltage (IV) curves of calcium-impermeable receptors would provide a theoretical rectification index of 1.75. Furthermore, the amplitude of AMPA EPSCs was rapidly and potently reduced, to
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the NASPM effect on calcium transients and EPSC amplitudes were similar (data not shown). Calcium increases were observed in several ROIs along dendrites (control, black; following NASPM, blue). However, rise times and amplitudes were largely heterogeneous, suggesting intracellular calcium diffusion from precise entry spots, probably identifying synaptic sites.

Pooled data are represented as mean ± SEM.

23.6% ± 2.2% of the control (p = 0.016, n = 7; Figure 4C) by the calcium-permeable AMPAR blocker 1-Naphthyl acetyl spermine (NASPM) (20–50 µM). We then performed two-photon calcium imaging experiments to examine the spatial distribution of the divalent permeability of AMPARs. We scanned the dendritic appendages of MHb cells loaded with Fluo-5F (500 µM), looking for calcium increases triggered by electrical stimulation of the incoming afferents. Evoked calcium transients could indeed be detected (Figure 4D; n = 9). Transients were normally limited to restricted areas of individual neurites and showed varying kinetics and amplitudes in regions of interest (ROIs) distributed along the responding processes. Application of NASPM (20–50 µM) decreased calcium signal amplitudes to 16.3% ± 2.6% of the control (Figure 4D; p = 0.016, n = 7), with a time course closely mirroring the temporal development of eEPSC inhibition.

Thus, in contrast to previous studies, our data establish the activation of calcium-permeable AMPARs by PS inputs to the MHb.

## Subunit Composition of NMDARs in the MHb

We then examined the properties of the NMDA component. Immunohistochemical staining revealed robust expression of GluN1, GluN2A, and GluN2B subunits along the dorso-ventral MHb axis (Figure 5A).

Consistently, with the *in vivo* intra-burst frequencies of PS neurons (Figure 1), we used short (10 pulses), high-frequency (200 Hz) stimulation trains to obtain the IV curves of pharmacologically isolated NMDA currents (Figure 5B). The IV curves of NMDA currents showed the typical Mg²⁺- and voltage-dependent rectification properties of NMDARs (Figure 5B; Paoletti et al., 2013), with their rectification increasing with extracellular Mg²⁺ concentrations. In Mg²⁺-free solution, and at concentrations of 100 µM and 1.5 mM, total charge values recorded at

-80 mV amounted to 92.9% ± 13.3% (n = 16), 21.6% ± 5.9% (n = 12), and 4.1% ± 1.1% (n = 10, p < 0.001) of the value obtained at +50 mV (Figure 5B), respectively. The charge transferred by the train-evoked currents was completely blocked by APV, to 4.7% ± 1.3% of the control (n = 12 at +50 mV, p < 0.001).

We then analyzed the properties of individual NMDA currents in GluN2Ako mice (Figure 5C). The NMDA/AMPA current ratio was dramatically reduced in this mouse line with respect to wild-type (WT) littermates, from 17.4% ± 1.5% (n = 15) to 2.7% ± 0.4% (n = 12, p < 0.001; Figure 5C, a). This change was not associated with a significant difference in the AMPA EPSC amplitudes measured at -60 mV, which amounted to 588.6 ± 180.1 pA in the WT (n = 15) and to 756.0 ± 149.5 pA (n = 13, p = 0.3) in mutants. In contrast, the decay time course of NMDA EPSCs was dramatically slower than in the WT (Figure 5C, b), with time constants being 111.7 ± 33.9 ms in mutants (n = 7) and 22.9 ± 2.9 ms in control mice (n = 15, p < 0.001), consistent with the absence of the rapidly deactivating GluN2A subunits.

We finally tested pharmacological agents interfering specifically with GluN2A-, GluN2B-, and GluN2C/GluN2D-containing receptors: Zn²⁺ (300 nM), Ro25-6981 (1 µM), and (3-Chlorophenyl) [3,4-dihydro-6,7-dimethoxy-1-[(4-methoxyphenoxy)methyl]-2(1H)-isoquinolinyl]methanone (CIQ) (20 µM), respectively (Paoletti et al., 2013).

In WT mice, Zn²⁺ and Ro25-6981 had similar inhibitory effects on train-evoked NMDA responses (Figure 5D). Charge transfer was reduced to 62.8% ± 6.7% (n = 11, p = 0.001) and 63.9% ± 6.7% (n = 13, p < 0.001) of the pre-drug period, supporting the presence of both GluN2A and GluN2B subunits (Figure 5D, graph). As expected, in GluN2Ako mice, Zn²⁺ had no effect (100.3% ± 4.2% of the control, n = 5, p = 1.0), whereas Ro25-6981 inhibited the responses to a greater extent than in

<caption>**Figure 4.** Calcium-Permeable AMPARs Mediate Glutamatergic Responses at Septo-habenular Inputs</caption>

(A and B) Immunohistochemical data demonstrated the presence of both GluA1 and GluA2 AMPAR subunits in the MHb (A). Nevertheless, electrically evoked AMPAR responses showed a large rectification index (B, right bar graph; the theoretical index [R.I.] for perfectly linear IV curves is shown by the dotted line, and values from each cell are depicted by points), suggesting the absence of GluA2 from postsynaptic densities under our recording conditions. Average EPSCs recorded at +50 mV (top) and -60 mV (bottom) are illustrated for a typical cell on the left.

(C) Application of NASPM, a blocker of calcium-permeable AMPA conductances, rapidly and potently inhibited EPSCs.

(D) Two-photon calcium imaging experiments demonstrated that AMPAR activation triggers calcium elevations in MHb cell dendrites, which were blocked by NASPM. Quantification is depicted in the right bar graph. The time courses of
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Stimulation trains

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Individual stimulations

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<figure><img src="image_27.png" /><figcaption>Figure 5. NMDARs Are Composed of GluN1-GluN2A-GluN2B Heterotrimers at PS Inputs to the MHb</figcaption></figure>

(A) Immunohistochemistry revealed expression of GluN1, GluN2A, and GluN2B in the MHb.

(B) The IV curves of pharmacologically isolated NMDA EPSCs (right graph) showed larger rectification with increasing extracellular Mg²⁺ concentrations. Trains of 10 stimulations at 200 Hz were applied to trigger NMDA responses (the left traces were obtained at the Mg²⁺ concentration of 1.5 mM).

(C) NMDA EPSCs were strongly reduced in GluN2Ako mice, as illustrated by the NMDA/AMPA ratio (a), with dramatically slower decay times than in wild-type (WT) mice (b). Sample traces for one WT (left) and one GluN2Ako cell (right; the WT trace is superimposed in gray) are also shown.

(D) Pharmacological analysis of NMDA currents. Zn²⁺ (red) and Ro25-6981 (blue), specific blockers of GluN2A and GluN2B subunits, respectively, antagonized NMDA responses with similar efficacy in WT mice. Zn²⁺ had no detectable effects, whereas Ro25-6981 action was potentiated in GluN2AKO mice, suggesting that NMDARs are most likely formed by GluN1-GluN2B heterodimers when GluN2A is ablated genetically. CIQ, which specifically potentiates GluN2C- and/or GluN2D-containing receptors, had no significant effects on evoked responses in WT mice.

WT mice (to 17.4% ± 3.4% of the control, n = 5, p = 0.03 with respect to pre-drug period; p = 0.003 with respect to the WT), suggesting that, in GluN2Ako mice, NMDARs are predominantly composed of GluN2B-GluN1 heterodimers (Figure 5D; Hatton and Paoletti, 2005). Finally, we examined the effect of CIQ, a drug specifically potentiating GluN2C/GluN2D-containing receptors. In our experiments, CIQ produced a small inhibition of NMDA responses to 87.6% ± 3.6% of the control (n = 9, p = 0.01; Figure 5D, graph), indicating a lack of GluN2C/GluN2D subunits in the MHb.

In conclusion, our experiments support the existence of conventional, heterotrimeric NMDARs containing GluN1-GluN2A-GluN2B in the MHb (Paoletti et al., 2013).

Ionotropic and Metabotropic Glutamate Receptors
Differentially Regulate MHb Cell Firing

Both excitatory and inhibitory metabotropic receptors (mGluRs) can be activated by synaptic glutamate release, with effects on firing spanning several hundred milliseconds. We examined the possible presence of functional mGluRs in vMHb neurons by puffing agonists of group I, group II, and group III mGluRs on cells recorded in the loose cell-attached (LCA) configuration (Figure S1). Ventral MHb cells are indeed spontaneously active in slices (Görlich et al., 2013). We found that mGluRIs are functionally expressed in virtually all cells, and that their activation potently inhibits firing via development of slow outward currents (Figure S1). In contrast, mGluRIIs and mGluRIs are either not expressed or expressed at low levels in the vMHb respectively.

Besides ionotropic excitatory receptors, the glutamate released from PS inputs might thus also activate inhibitory mGluRIs. We therefore examined the effect on MHb neuronal activity of optogenetically stimulated PS fibers. VGluT2-Cre mice were injected in the PS with a double-floxed ChR2-expressing AAV. The optogenetically stimulated fibers were most likely the same type of afferents activated electrically (Figure 6A). Indeed, liEPCSs were purely glutamatergic. In the whole cell configuration, their amplitude was completely blocked by co-application of NBQX and APV, to 1.3% ± 0.3% (n = 28, p = 0) and 3.1% ± 1.2% (Figure 6A, right graph; n = 11, p = 0.003) of the control at -60 mV and +50 mV. Furthermore, neither the AMPA rectification index (4.8 ± 0.6, n = 22, p = 0.4) nor the NMDA/AMPA ratio (Figure 6A; 36.0% ± 4.3%, n = 18, p = 0.5) were significantly different from the values obtained with electrical stimulation.

In the LCA configuration, we examined the changes in firing frequency upon optogenetic stimulation of PS afferents. We used 5-s-long trains at 20 Hz, a train pattern allowing reliable optogenetic stimulation over the short *ex vivo* recording times. We pooled MHb cells into three distinct groups according to the response patterns found.

The first group comprised MHb neurons in which ChR2 activation produced a dramatic increase in the firing rate during stimulation, to 774.5% ± 125.1% of the control (Figure 6B; n = 48, p < 0.001), followed by action potential inhibition in the 2 s after train end, to 30.0% ± 6.9% of the control (p < 0.001). We found that both phenomena were dependent on activation of ionotropic glutamate receptors. Co-application of NBQX and APV indeed eliminated the late inhibition of the firing rate,

<footnote>*p < 0.05; pooled data are represented as mean ± SEM.</footnote>
<figure><img src="image_28.png" /></figure>

<figure><img src="image_29.png" /></figure>

<figure><img src="image_30.png" /></figure>

<figure><img src="image_31.png" /></figure>

(E) EPSC amplitudes recorded in the whole-cell configuration for a subset of cells in which light trains produced either excitation (Exc.; left bar), only inhibition (Inh.; center bar), or no effect (No; right bar).
Pooled data are represented as mean ± SEM.

which was 83.6% ± 19.0% of the pre-stimulation period after drug application (n = 11, p = 0.4). The early excitatory phase was instead replaced by a prominent inhibition, to 46.8% ± 8.8% of the control (n = 15, p = 0.01), which was mediated by mGluRII activation because it was canceled by subsequent application of the mGluRII antagonist LY341495 (1µM; spike rate during light trains, 112.7% ± 12.9%; n = 11; p = 0.6). A subset of this cell group was also recorded in the voltage clamp (VC) configuration. Here, optogenetic stimulation invariably produced AMPA and NMDA iEPSCs, showing the presence of a direct synaptic connection (see Figure 6E and also Figure 6A for average amplitudes and pharmacological profile; n = 28). The firing pattern in response to PS fiber activation was also examined in current clamp (CC) recordings (Figure S2). The results fully confirmed the findings of LCA recordings (Figure S2), further supporting the hypothesis that

the inhibition of the firing rate following excitation was due to AMPAR/NMDAR-dependent activation of intrinsic conductances (Figure S2B) and not to activation of local inhibitory interneurons (which are not present in the MHb; Figure S4). These data thus demonstrate that AMPAR and NMDAR activation can entrain MHb cells firing very efficiently, prevailing over inhibitory metabotropic components.

In a second group of neurons, optogenetic stimulation trains decreased spike rates to 49.7% ± 3.9% of the control (Figure 6C; n = 53, p < 0.001). We found that this inhibition was due to mGluRII activation because LY341495 prevented the decrease in firing, which amounted to 107.7% ± 7.7% of the control (n = 11, p = 0.003). Interestingly, the glutamate transporter blocker DL-threo-β-Benzyloxyaspartic acid (DL-TBOA) (100 µM) potentiated the spike rate inhibition of this group of cells, with frequencies reduced to 65.6% ± 6.2% in the control

<caption>**Figure 6.** Integrative Properties of Septo-Habenular Afferent Activity by MHb Neurons</caption>

(A and B) Optogenetic stimulation of septal afferents in VGluT2-Cre mice injected with a ChR2-expressing AAV activated a similar groups of fibers as extracellular stimulation. The traces on the left illustrate a typical MHb neuron in which ChR2 activation produced synaptic responses mediated by AMPA and NMDA (clearly visible at +50 mV, top) receptors. The graphs in (A) show that EPSC average amplitudes (left), AMPA rectification indexes (center), and average NMDA/AMPA amplitude ratios (right) were statistically indistinguishable following either optogenetic (Optog., left bar; individual cells depicted as gray points) or extracellular electrical stimulation (Extrac., light gray bars; data already shown in previous figures). In the LCA recording configuration, a 5-s-long blue light stimulation train at 20 Hz distinguished 3 groups of neurons. In the first group (n = 48; B), a dramatic increase in spike rate during the train was followed by strong inhibition in the seconds following the stimulation end (detailed at larger magnification in the inset). Augmentation and post-train inhibition were both blocked by co-application of NBQX and APV, and were replaced by a significant decrease of firing, which was completely eliminated by bath application of the mGluRII antagonist LY341495 (right graphs).

(C) A group of cells (n = 53) is shown, where activation produced dramatic inhibition of the firing rate, which was mGluRII-dependent (right graph).

(D) In several cells (n = 41), ChR2 activation triggered no detectable change in firing.

(B–D) The traces on the left show a typical recording, whereas the time courses of firing changes for all analyzed cells are depicted in the right graphs. Color codes for traces and temporal graphs are black for control, blue for NBQX and APV co-application, and green for LY341495 in the bath either following NBQX and APV (B) or alone (C). Blue lines represent the 5-s-long stimulation trains.
A

a

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b

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B

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2mm

Injection

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C

Open field

ChR2-expressing mice

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Periodic protocol

LY341495

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Laser on

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Elevated plus maze

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Marble burying

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YFP

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<caption>Figure 7. Synaptically Efficient Optogenetic Stimulation of the Septo-habenular Pathway Induces Anxiolysis and Increases Mouse Mobility</caption>

(A) Continuous optogenetic stimulation (30 s, 20 Hz) rapidly lost efficiency at increasing firing of MHb cells in LCA recordings. The response of a typical neuron is illustrated (top left; quantification in the right graph). In contrast, periodic laser-on (1 s)/laser-off (2 s) trains quantitatively maintained their effect over long periods (bottom traces and bar graph). Firing was quantified in the first (start) and last (end) 4 s of stimulation as percentage of control spike rate. (b) In the whole-cell configuration, dramatic synaptic fatigue developed rapidly during continuous trains but not during periodic stimulation, consistent with the results shown in (a). The charge transferred at stimulation end was quantified as a percentage of the charge obtained at train onset.

(B) For in vivo optogenetic experiments, injected mice (see center for fluorescence at the PS injection site of one mouse) were implanted with a fiber optic just above the MHb, as shown schematically on the left and for one animal on the right (the fiber track is highlighted in yellow).

(C) Intermittent stimulation in freely moving, ChR2-expressing VGluT2-Cre mice robustly increased locomotion. In contrast, continuous trains did not produce significant changes in the total distance traveled (quantified in the right bar graph). Mouse position in the open-field arena in time is shown for one animal before (left black traces, corresponding to 1-min-long period) and during stimulation (bottom, blue) for continuous (left) and periodic (right) trains. The effect on locomotion of the intermittent protocol was also maintained following intraperitoneal (i.p.) injection of LY341495 (quantifications shown in the right bar graph). Light trains produced no significant change in locomotor activity in VGluT2-Cre mice expressing only eYFP at PS inputs (data not shown).

(D) PS input activation in the MHb is anxiolytic. (a) ChR2-expressing mice spent more time in the open arms of an EPM during optogenetic stimulation (blue bar) than in the pre-light period (black). (b) ChR2-YFP expressing mice buried significantly fewer marbles than animals expressing only YFP (quantified in the left graph). The images illustrate the unburied marbles for 2 mice.
Pooled data are represented as mean ± SEM.

period and to 38.8% ± 8.0% during drug application (n = 11, p = 0.004; Figure S3), suggesting an extrasynaptic localization of mGluRIs and the possibility of spillover-mediated heterosynaptic inhibition in MHb glomeruli (Kim and Chang, 2005). Whole-cell VC analysis revealed that light pulses induced IiEPSCs only in a small percentage of cells (Figure 6E; average amplitude, 8.2 ± 5.8 pA, with only 3 of the 14 neurons showing detectable IiEPSCs), whereas stimulation trains consistently activated small but detectable mGluRII-dependent outward currents at a recording potential of –45 mV (Figure S2C). Thus, in most cases, AMPARs and NMDARs were either not activated or activated only weakly by glutamate release, the dominant effect being inhibitory mGluRII activation.

We finally found MHb neurons in which optogenetic stimulation produced no effect (Figure 6D; 103.6% ± 3.0% of the control; basal firing rate range, 0.5–6.7 Hz; n = 41; p = 0.9). As expected, VC recordings revealed no detectable current (Figure 6E; IiEPSC amplitude, 0.9 ± 0.8 pA; n = 19). In this case, inefficient infection of PS cells probably led to the lack of ChR2 expression in the presynaptic afferent(s).

In conclusion, we demonstrated that optogenetic activation of PS inputs produces complex bi-phasic excitatory/inhibitory re-

sponses in MHb cells. In the Discussion, we describe several diverse factors possibly concurring to shape the spatiotemporal profile of the responses.

In Vivo Optogenetic Stimulation of PS Inputs to the MHb

We then investigated the efficacy of distinct stimulation patterns of PS inputs. The fatigue observed ex vivo with continuous stimulations (Figure 2B, a) suggested that the bursting firing patterns of PS neurons recorded in vivo (Figure 1) may be imperative for maintaining synaptic efficacy over long activity periods.

We first tested continuous optogenetic trains with a duration (30 s) and frequency (20 Hz) commonly used under in vivo conditions. We examined the reliability of this protocol in modifying neuronal activity. Only neurons showing excitation/inhibition cycles were examined. In both LCA (Figure 7A, a) and VC (Figure 7A, b) recordings, we found that these stimulation trains rapidly lost much of their efficacy in increasing the firing rate and transferring the excitatory charge, respectively. In LCA recordings, the firing rate during the first 4 stimulation seconds was 888.2% ± 279.1% of the control, whereas it was not significantly different from the pre-stimulation period in the last 4 s (192.1% ± 95.4%, n = 15, p = 0.98; Figure 7A, a, top trace).
Similarly, in VC recordings, the charge transferred in the last sec-
onds of stimulation was 42.8% ± 11.1% of the charge trans-
ferred at train onset (n = 22, p = 0.0004; Figure 7A, b, top trace).
Importantly, NBQX completely blocked all charge transfer
at –60 mV (to 0.3% ± 0.2% of the control trains, n = 9,
p < 0.0001; data not shown), further confirming the purely gluta-
matergic nature of these synapses.

Continuous optogenetic stimulation, thus, does not represent
a valuable strategy for proper activation of PS inputs to the
MHb. Our *in vivo* data on PS firing led us to apply brief light-
on periods (20 Hz, 1 s) alternated with light-off periods (2 s)
over a total duration of 30 s (Figure 7A). Optogenetic stimula-
tion at 20 Hz represents an upper limit for ChR2 stimulation
in trains. By using 1-s-long trains, we compensated for the
fact that this value is 10-fold lower than the average intra-burst
frequency (Figure 1F).

In both LCA and VC recordings, this protocol was very efficient
over long stimulation periods. The firing rate at intermittent
stimulation onset was smaller than for continuous trains
(399.8% ± 68.9%, n = 16, p = 0.006 with respect to continuous
trains; Figure 7A, a, bottom trace). Nevertheless, in the last 4 s,
periodic stimulation still significantly increased the firing rates
(305.2% ± 84.0%, n = 16, p = 0.003 with respect to the pre-stim-
ulation in LCA, p = 0.006 versus the same time window of contin-
uous trains; Figure 7A, a).

In VC recordings, the charge transferred at train end was not
different from the onset and, in percentage, greater than for
continuous trains (132.3% ± 13.5%, n = 22, p = 0.3 and
p = 0.0001 versus the first 4 stimulation seconds and versus
the corresponding time window for continuous stimulation,
respectively; Figure 7A, b). The intermittent protocol allowed us
to examine how prolonged *in vivo* activation of PS inputs to the
MHb may affect behavior.

Septo-habenular Glutamatergic Inputs Stimulate
Locomotion and Produce Anxiolysis

VGluT2-Cre mice injected with either a double-floxed ChR2- or a
YFP-expressing virus were implanted with an optic fiber cannula
just above the third ventricle (Figure 7B).

Mouse locomotion in an open-field arena was examined
before, during, and after laser stimulation trains both with the
continuous and with the periodic laser-on/laser-off 20-Hz proto-
col used before (Figure 7C). We examined locomotion because
the MHb contributes to rodent mobility (Yamaguchi et al.,
2013). We found that continuous stimulation of ChR2-expressing
mice did not alter locomotion (110.0% ± 17.4%, n = 11, p = 0.9
versus the pre-light control period). In contrast, intermittent stim-
ulation led to a significant augmentation of the total distance
traveled (200.0% ± 37.3%, p = 0.02 and p = 0.04 with respect
to the control period and to continuous stimulation, n = 11; Fig-
ure 7C). After the stimulation protocol was terminated, mouse
mobility returned to control levels (110.6% ± 12.1%, p = 0.6;
Figure 7C).

Locomotion remained unaltered in mice injected with a control
virus, the distance traveled amounting to 123.6% ± 15.5% (n = 8,
p = 0.4; data not shown) of the pre-stimulation period for the
continuous pattern and to 106.3% ± 5.5% (n = 8, p = 0.2; data
not shown) for the intermittent one.

Finally, we tested whether the effect of *in vivo* stimulation
could be attributed either to the activation of ionotropic (the
cell group shown in Figure 6B) or of mGluRII glutamate receptors
(Figure 6C). The intermittent protocol was applied to mice that
were previously injected intraperitoneally with the blood-brain
barrier-permeable mGluRII antagonist LY341495 (1–4 mg/kg).
We found that optogenetic stimulation still increased locomotion
in mice, to 174.9% ± 23.8% of the control (n = 10, p = 0.8 versus
intermittent stimulation under control conditions; Figure 7C,
green bar in the graph), suggesting that the neurons responsible
for this behavioral response are the ones excited by AMPAR and
NMDAR activation (Figure 6B).

We then examined the effect of PS inputs on anxiety levels (Yamaguchi et al., 2013). First, no difference was detected in the percentage of time spent by ChR2-expressing mice in the center of the open field during intermittent stimulation patterns (35.7% ± 7.4% before light onset versus 35.4% ± 4.1% during stimulation, p = 0.9; data not shown). In contrast, in the elevated plus maze (EPM) test, ChR2-injected mice significantly spent more time in the open arms during stimulation with respect to preceding control periods (3.3% ± 1.5% versus 0.3% ± 0.1%, p < 0.05, n = 11; Figure 7D, a). The EPM results may be affected by the increased locomotion of the mice. We therefore also performed the marble burying (MB) test. In this test, ChR2-expressing mice buried significantly fewer marbles during light stimulation than YFP-expressing animals (9.4 ± 2.0 with n = 10 versus 16.1 ± 1.8 with n = 8, p = 0.03; Figure 7D, b), confirming the anxiolytic effect of intermittent, physiology-like stimulation of PS inputs to the MHb.

In conclusion, these results illustrate the validity of our inter-
mittent stimulation pattern for eliciting optogenetic responses.
Furthermore, they demonstrate that PS activation can control
mobility and anxiety states.

DISCUSSION

Our work represents a comprehensive characterization, from
synaptic components to behavioral outcomes, of the septo-
habenular glutamatergic afferent system. These data fill a long-
standing information gap. On one side, the role of the PS as a
source of glutamatergic inputs to the MHb has indeed been
known for decades in morphological terms (Herkenham and
Nauta, 1977). In contrast, much less functional information
was available before this study, certainly because of the sparse
innervation of MHb cells (Figure 2) and of the laboriousness in
activating these inputs in slice preparations before the advent
of optogenetics.

PS Afferents to the MHb Are Purely Glutamatergic

Early studies dating back more than 20 years suggested that PS
inputs co-released glutamate and ATP (Edwards et al., 1992;
Robertson and Edwards, 1998). The glutamatergic component
was reported to be mediated by calcium-impermeable AMPARs
without concomitant NMDAR activation. Our data depict a strik-
ingly contrasting portrait. We indeed provide evidence that these
inputs are purely glutamatergic, with responses produced by
activation of both calcium-permeable AMPARs and GluN2A-
GluN2B-GluN1 heterotrimeric NMDARs (Figures 4 and 5).
Differences exist in the experimental conditions, possibly explaining these contradictions, mainly the use of young rats (Edwards et al., 1992) versus adult mice (here) and the ambient versus physiology-like temperatures (here) at which data were collected. Moreover, the purinergic component was generally triggered by higher stimulation intensities than the glutamatergic one (Robertson and Edwards, 1998), with extracellular applied voltages that can lead to transient electroporation of cellular membranes (Hamann and Attwell, 1996).

One physiological implication of such a variety of calcium sources in MHb neurons could obviously be synaptic plasticity. Among other roles, the MHb may be a central region for mediating nicotine and opioid addiction-related aversive states (Fowler et al., 2011; Frahm et al., 2011; Gardon et al., 2014). Synaptic plasticity may thus be central for putting in place the circuital modifications associated with repeated drug use. It will therefore be important to investigate whether PS inputs to the MHb show forms of long-term synaptic plasticity and their possible behavioral implications.

## MHb Integration Properties of PS Inputs at the Cellular and Circuital Levels

Our data illustrate a rather complex pattern of integration properties of the sparse PS inputs by MHb cells. We have shown that activation of the ionotropic components of glutamatergic EPSCs, when present, is extremely efficient in driving MHb neurons (Figures 6 and 7). In contrast, if AMPA and NMDA components are absent, then the net stimulation effect often appears to be powerful activity inhibition. The activation of mGluRIIs and the consequent decrease in firing may be explained by two configurations: either postsynaptic densities only express metabotropic receptors, or mGluRIIs located at the periphery of the active zones sense glutamate diffusing from heterosynaptic sites. We are in favor of the latter hypothesis. First, blocking glutamate transporters potently increased the inhibitory effect of metabotropic activation on firing (Figure S3), suggesting a peripheral position of the receptors with respect to glutamate release sites. Furthermore, PS afferents appear to form glomerular specializations in the MHb (Kim and Chang, 2005), where dendrites from several distinct cells converge, providing an ideally “closed” environment for efficient glutamate spillover.

On a more circuitry-centered point of view, inhibition via mGluRIIs may be considered as a lateral inhibition-like synaptic phenomenon. Individual PS fibers might indeed lead to strong activation of their corresponding postsynaptic targets and to inhibition of close-by, not directly contacted MHb cells, increasing the contrast of the incoming information. It is relevant to underline that, inside the classically identified ventral and dorsal MHb, several molecular markers distinguish further sub-regions (Aizawa et al., 2012; Görlich et al., 2013; Gardon et al., 2014) and that two specific areas in the zebrafish equivalent of the mammal vMHb have been recently found to have opposite roles in social contrast resolution processes (Chou et al., 2016). The equivalence of circuital organization between zebrafish and mouse still remains uncertain. However, this mGluRI-mediated inhibitory mechanism might contribute to refining the spatial profile of the activated habenular sub-regions, optimizing information transfer via this epithalamic relay.

## General Remarks on MHb Excitatory Inputs: Behavioral Consequences

In this study, we illustrated an efficient optogenetic protocol for *in vivo* PS fiber stimulation in the MHb. Our findings suggest that the PS controls locomotion (similar to Yamaguchi et al., 2013) and induces anxiolysis. The latter result is surprising in view of the general assumption that MHb activation is coupled to enhancement of negatively valued states and of the finding that deleting PS inputs decreases anxiety (Yamaguchi et al., 2013). Importantly, though, increased MHb excitability and/or output efficiency can also contribute to relieving negative states, for example, during fear conditioning (Soria-Gómez et al., 2015; Zhang et al., 2016).

Our results may also be explained by the emerging complexity of afferent synaptic excitation to the MHb. Defying expectations, several groups have indeed reported that GABAergic afferences increase, rather than decrease, neuronal firing in the MHb (Kim and Chung, 2007; Choi et al., 2016; Koppensteiner et al., 2016). Similarly to glutamatergic fibers, GABAergic axons impinging onto MHb cells originate in septal nuclei (Qin and Luo, 2009). Morphologically, GABAergic fibers form classical small terminals on postsynaptic dendrites, externally with respect to glutamatergic glomeruli (M.A.D., unpublished data). Thus, GABAergic terminals produce clearly distinct structures in comparison with glutamatergic ones, and they may therefore efficiently convey different activity patterns onto MHb cells. It is tempting to speculate that, downstream in the raphe nuclei via the IPN relay, this heterogeneity of incoming excitation to MHb cells may produce divergent spatiotemporal patterns of serotonin release throughout the brain and, thus, distinct behavioral outcomes. It will be important in the future to understand how the excitatory role of GABAergic synapses can be reconciled with that of the glutamatergic inputs described here.

In conclusion, by establishing the physiological contour of septo-habenular glutamatergic function, we provide here long-awaited foundations for further exploration of the role of the MHb in brain physiology.

## EXPERIMENTAL PROCEDURES

All procedures involving experimental animals were performed in accordance with Directive 2010/63/EU, the guidelines of the French Agriculture and Forestry Ministry for handling animals, and local ethics committee guidelines.

### Ex Vivo Electrophysiology

Adult mice (≥ 3 months old) were used for this study. Coronal slices (300 µm) were prepared, and recordings were performed at 30°C-34°C as described previously (Giber et al., 2015) from both C57/B6 mice, GluN2KO mice and their control littermates, VGluT2-Cre mice, and, finally, from Thy1-ChR2 mice (line 18; Wang et al., 2007).

All recordings were performed in a bicarbonate buffered solution (BBS) containing the following (mM): 116 NaCl, 2.5 KCl, 1.25 NaH₂PO₄, 26 NaHCO₃, 30 glucose, 2 CaCl₂, 1.5 MgCl₂, and 5 × 10⁻⁵ minocycline (bubbled with 95% O₂, 5% CO₂). We recorded neurons located exclusively in the vMHb. For whole-cell (WC) recordings, patch pipettes (resistance, 2.5–4 megaohms [MΩ]) were filled with an intracellular solution containing 150 mM CsMeSO₃, 10 mM tetraethylammonium chloride (TEA·Cl), 1 mM CaCl₂, 4.6 mM MgCl₂, 10 mM 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid (HEPES), 10 mM K₂-creatinine phosphate, 0.5 mM EGTA, 4 mM Na₂-ATP, 0.4 mM Na₂-GTP,
0.1 mM spermine, and 2 mM QX-314, pH 7.35 with CsOH (~300 mOsm), sometimes supplemented with a morphological dye (5 µM Alexa 488, Invitrogen) to check cell morphology. For CC recordings (Figure S2) and experiments examining (2S,2'R,3'R)-2-(2',3'-Dicarboxycyclopropyl)glycine (DCG-IV)-induced currents in whole cell (Figure S1), the intracellular solution contained 150 mM K-Gluconate, 4 mM NaCl, 10 mM HEPES, 10 mM K₂-phosphocreatine, 0.1 mM EGTA, 6 mM Mg₂ATP, and 0.4 mM NaGTP. LCA (seal resistance, 10-20 MΩ) recordings were performed at a holding potential of -60 mV, with pipettes filled with an HEPES-buffered solution (HBS) containing 130 mM NaCl, 2.5 mM KCl, 1.25 mM NaH₂PO₄, 30 mM glucose, 2 mM CaCl₂, 1.5 mM MgCl₂, and 10 mM HEPES, pH 7.35 with NaOH (~300 mOsm). Currents were filtered at 10 kHz and sampled at 10-40 kHz. Stimulation electrodes were patch pipettes filled with BBS, placed close to MHb cell dendrites to activate the excitatory inputs (Figure 2B). Excitatory inputs were stimulated either with individual pulses (7-22 DV, 200 µs, biphasic), with 5 stimuli at 100 Hz every 15 s for the calcium imaging experiments (Figure 4D), or with trains consisting of 10 stimuli at 200 Hz every 10-20 s for NMDA current examination (Figures 5B and 5D). In all *ex vivo* experiments where glutamatergic synaptic currents were evoked electrically, SR95531 (2-5 µM) was added to the bath solution together with the mGluRII blocker LY341495 (0.5-1 µM), the gamma-aminobutyric acid, type b (GABAb) antagonist CGP55845 (1 µM), and the wide-spectrum purinergic receptor blocker CGS15943 (0.5 µM).

## Calcium Imaging

Calcium imaging experiments were performed with a two-photon random-access microscope using acousto-optic deflector (AOD)-based scanning, as described previously (Otsu et al., 2014). Whole-cell patch pipettes were filled with an intracellular solution containing 135 mM CsMeSO₃, 4.6 mM MgCl₂, 10 mM HEPES, 10 mM K₂-creatinine phosphate, 4 mM Na₂-ATP, 0.4 mM Na₂-GTP, and 2 mM QX-314, pH 7.35 with CsOH (~300 mOsm) and supplemented with a morphological (10 µM Alexa 594, Invitrogen) and a calcium-sensitive dye (500 µM Fluo-5F, Invitrogen). Cells were voltage-clamped at -60 mV in the whole-cell configuration at 32°C-34°C in the continuous presence of 50 µM D-(2'R)-amino-5-phosphonovaleric acid (D-APV), 5 µM SR95531, 1 µM CGP55845, 0.5 µM CGS15943, and 0.25 µM LY341495. Calcium signals were acquired for 100-200 ms before repeated extracellular stimulation (5 pulses, 100 Hz) of the incoming PS input and for 1.8-2 s following stimulation onset. Dwell times of 20-30 µs per point were used. Stimulation-induced calcium transients were acquired every 15 s for 10 or 15 min before applying NASPM (20-50 µM). For data analysis, relative fluorescence was expressed as ΔG/R; i.e., variations in Fluo-5F signal change (ΔG) divided by calcium-independent Alexa 594 red fluorescence (R) (Otsu et al., 2014).

## Ex Vivo and In Vivo Optogenetics

### Stereotactic Injections

All optogenetic experiments were performed on adult (≥ 3 months old) VGluT2-Cre mice (Borgius et al., 2010). Following previously described protocols (Supplemental Experimental Procedures), mice were injected with either an AAV2/1.EF1α.DIO.hChR2.eYFP or an AAV2/1.EF1α.DIO.eYFP virus in the PS at the following coordinates from bregma: mediolateral (ML), 0.0 mm; anteroposterior (AP), -0.13-0.2 mm; dorsoventral (DV), -2.6 mm. Cannula implantations for *in vivo* optogenetics experiments were performed as described previously (Giber et al., 2015).

### Ex Vivo Optogenetics Stimulations

Brief (1- to 2-ms-long) flashes of blue light were provided by a 470-nm wavelength light-emitting diode (LED) (Thorlabs, France) coupled to the slice chamber via the epifluorescence pathway of the microscope.

### In Vivo Optogenetic Experiments: Open Field Test

The custom optical system used for fiberoptic light delivery in freely moving mice has been described in the detail previously (Giber et al., 2015). Cannula-implanted, fiberoptic-connected mice were filmed while moving freely in a round open-field arena. After 5 min of free movement in the arena, optogenetic stimulation was activated for 3 min using either a continuous train at 20 Hz or periodic laser-on (20 Hz, 1 s)/laser-off (2 s) periods (Results). After the end of stimulation, the mice were left in the arena for another 5 min. The

intermittent protocol was also examined following intraperitoneal injection of LY341495 (1-4 mg/kg) dissolved in saline (9% NaCl in water). Videos were analyzed offline with Ethovision (Noldus, the Netherlands). Raw data were further analyzed in Igor Pro (Wavemetrics, USA). Total distances traveled in the minute before laser onset and between 30 s and 90 s following stimulation onset were quantified and statistically compared between the different conditions.

### In Vivo Optogenetic Experiments: EPM

The EPM test was performed using a standard apparatus with transparent plastic walls delimiting the enclosed sections (Imetronics, France; Supplemental Experimental Procedures). After connecting the fiberoptic to the implanted cannula, mice freely explored the EPM for 13 min. Light stimulation was activated between minutes 5 and 8. Videos were analyzed offline with Ethovision.

### In Vivo Optogenetic Experiments: MB

For this test, 24 steel marbles (1 cm in diameter) were placed on fresh bedding in a transparent plastic box. Mice were left in their home cage 15 min after linking the patchcord to the implanted cannula. They were then introduced into the box and allowed to roam freely during intermittent laser stimulation trains. The number of marbles completely buried after 10 min was quantified.

### In Vivo Recordings of PS Firing Patterns

The procedures for *in vivo* recordings of septal spike patterns are described in detail in the Supplemental Experimental Procedures. Briefly, isoflurane-anesthetized mice were placed in a stereotaxic apparatus. The activity of MHb-projecting single units was recorded extracellularly in the PS (Figure 1; AP, 0.0-0.2 mm; ML, 0.0-0.1 mm; DV, 2.6-3.1), with glass micropipettes filled with 2% pontamine sky blue dissolved in 0.5 M sodium acetate (impedance, 3-6 MΩ). MHb-projecting PS units were identified using high-frequency collision methods (Glangetas et al., 2013) following antidromic activation via a stimulating electrode placed in the MHb (AP, -1.5 mm; ML, 0.3 mm; DV, 2.8 mm; with a rostro-caudal inclination of 10°). Filtered signals (band-pass, 500-5,000 Hz) were pre-amplified, amplified, and displayed on a digital storage oscilloscope. Experiments were sampled on- and offline by a computer connected to a Cambridge Electronic Design (CED) Power 1401 laboratory interface running the Spike2 software. Single units were isolated, and the spontaneous activity was recorded for 5 min. At the end of each experiment, the electrode placement was marked with an iontophoretic ejection of pontamine sky blue dye and identified post hoc on serial sections of the paraformaldehyde (PAF)-fixed brains. See the Supplemental Experimental Procedures for a list of the analyzed parameters and for identification criteria of bursting activity.

## Immunohistochemistry

Detailed descriptions of the procedures for tissue preparation and labeling and of the antibodies used can be found in the Supplemental Experimental Procedures. The procedures followed previously described protocols (Giber et al., 2015).

## Drug Application

DCG-IV (10 µM), 3,5-Dihydroxyphenylglycine (DHPG) (50 µM), and L-AP4 (200 µM) were puffed onto cells. LY341495 was both bath-applied (0.25-1 µM) and injected intraperitoneally (1-4 mg/kg) into mice for *in vivo* experiments. All other drugs were bath-applied: NBQX (10 µM), D-AP5 (50 µM), CGP55845 (1 µM), CGS15943 (0.5 µM), TBOA (100 µM), NASPM (50 µM), SR95531 (2-5 µM), minocycline (50 nM), Zn²⁺ (a free concentration of 300 nM was obtained by adding 60 µM Zn²⁺ and 10 mM tricine; Vergnano et al., 2014), Ro25-6981 (1 µM), and CIQ (20 µM). NBQX, APV, SR95531, and minocycline were from Abcam (UK). DCG-IV, DHPG, CGP55845, CGS15943, TBOA, NASPM, L-AP4, and LY341495 were from Tocris Biosciences (UK). All other drugs were from Sigma-Aldrich (France). Ro25-6981 was a kind gift from P. Paoletti (IBENS, Paris).

## Data Analysis

Data analysis was performed with pClamp 10 (Molecular Devices), Origin 6.1 software (OriginLab, Northampton, USA), with custom routines written in Igor
(Wavemetrics, USA), and Ethovision (Noldus, the Netherlands). Two-photon images analyses were performed in Igor.

## Statistical Analysis

The results are presented as mean ± SEM throughout the manuscript and in all figures. For statistical analyses, Mann-Whitney U test and Wilcoxon signed-rank test were used as appropriate. Statistical significance was set at 0.05.

## SUPPLEMENTAL INFORMATION

Supplemental Information includes Supplemental Experimental Procedures and four figures and can be found with this article online at https://doi.org/10.1016/j.celrep.2017.12.064.

## ACKNOWLEDGMENTS

The authors would like to thank P. Paoletti for providing GluN2AKO mice and Ro25-6981 and M. Galante, R. Lambert, N. Leresche, and E. Schwartz for critically reading the manuscript. M.A.D. was supported by funding from CNRS, INSERM, and the French Agence Nationale de la Recherche (International ANR White Program: CSD8 2009 and ANR-17-CE16-0014-01). M.M. was funded by European Research Council Starting Grant SalienSy 335333.

## AUTHOR CONTRIBUTIONS

M.A.D. conceived, developed, and supervised the project. M.A.D. and Y.O. performed and analyzed the *ex vivo* electrophysiological experiments. M.A.D performed and analyzed the behavioral tests. M.A.D., Y.O., and P.M. performed the calcium imaging experiments. C.V.R. and K.P. performed immunohistochemistry. M.A.D, K.P., and C.M.-H. performed viral injections, and M.A.D. and G.P.D. implanted mice for *in vivo* optogenetic tests. S.L. performed the *in vivo* recordings in the PS under the supervision of M.M. M.A.D. wrote the manuscript, which was edited by all authors.

## DECLARATION OF INTERESTS

The authors declare no competing interests.

Received: March 13, 2017
Revised: September 26, 2017
Accepted: December 20, 2017
Published: January 16, 2018

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