Anterior but not posterior glutamatergic insular neurons increase their activity in anxiogenic spaces
To investigate how aIC and pIC are involved in anxiety, we recorded the activity of projection neurons in these cortical regions during anxiety-related behaviors with fiber photometry, expressing GCaMP6f under the CaMKIIɑ promoter (Fig. 1a,b and Extended data Fig. 1a-b,j,k). In the elevated plus maze test (EPM), an increase of the global calcium signal in aIC glutamatergic neurons was detected during the exploration of the open arms, in comparison to the closed arms (Fig. 1c). Similarly, during the open field test (OFT), the same neural population exhibited an increase of calcium signal in the center compared to the borders of the arena (Fig. 1e), showing that glutamatergic neurons in aIC are more active during the exploration of anxiogenic spaces (open arms of the EPM and center of the OFT). This increase in activity was independent of locomotion, as the velocity was the same in the open and closed arms (Extended data Fig. 1g), indicating that the mouse location in the EPM, which affects the anxiety state, might be a defining factor of the activity of aIC excitatory neurons. Thus, we plotted the calcium signal depending on the mouse location within the open arms (Extended data Fig. 1h), and depending on the movement direction of mice in the open arms: when mice went out to explore the open arm (OUT), or went back towards the closed arms (IN). Interestingly, the activity of aIC glutamatergic neurons was higher when mice were in the center compared to the extremity of the open arms, specifically while going out in the open arms (Extended data Fig. 1i). In contrast, glutamatergic neurons in the pIC exhibited comparable amount of neural activity when the mice were located in the anxiogenic and safe spaces of the EPM (Fig. 1d) and OFT (Fig. 1f), although the overall level of anxiety of these mice was similar to mice in the aIC group (same time spent in anxiogenic spaces, Extended data Fig. 1e,f). These results suggest that glutamatergic neurons in the aIC selectively encode anxiogenic spaces.
Thus, we hypothesized that inhibition of aIC glutamatergic neurons will reduce anxiety-related behaviors. We used a chemogenetic approach (Fig. 1g) to inhibit the activity of aIC glutamatergic neurons by expressing hM4Di, under the CaMKIIɑ promoter. The inhibition of these neurons during anxiety tests resulted in an increase in time mice spent in the open arms of EPM (Fig. 1h) and center of the OFT (Fig. 1k), during the second half of the test, in comparison to control mice. Importantly, inhibition of aIC glutamatergic neurons did not affect the total distance travelled (Fig. 1i,I), or the locomotion speed (Fig. 1j,m). Taken together, these results show that activity of glutamatergic neurons of the aIC encode anxiogenic spaces and control the level of anxiety-related behaviors.
Posterior insula glutamatergic neurons are active in response to the consumption of an aversive tastant
Previous studies suggested that neurons in the aIC and pIC are involved in emotional valence processing14, especially for the positive and negative valence of gustatory information, respectively. Thus, we performed fiber photometry recordings of aIC and pIC glutamatergic neurons during sucrose (Fig. 2a) and quinine (Fig. 2b) consumption to evaluate their neural dynamics in response to stimuli of positive and negative valence. Peri-licking analysis of the calcium signal showed there was no changes of calcium signal between the baseline and post-lick periods in glutamatergic neurons of the aIC and pIC (Fig. 2bd). Contrarily, a rapid increase of the global calcium signal was detected in the pIC after mice licked quinine, compared to the pre-licking baseline (Fig. 2h), whereas no changes were observed in aIC glutamatergic neurons (Fig. 2g).
The aIC mainly projects to the BLA and the pIC to the central amygdala (CeA)
To map the density of long-range projections of glutamatergic neurons of the aIC and pIC to other key brain regions involved in anxiety or valence, we virally expressed eYFP under the CaMKIIɑ promoter in glutamatergic neurons of the aIC or pIC to label their cell bodies, dendrites and axonal projections (Fig. 3a). After 4 weeks of expression, eYFP fluorescence was quantified in twelve downstream regions (Fig. 3b,c) and normalized to the region with the highest fluorescence intensity. Notably, the densest axonal fibers from the aIC and pIC were detected in two subdivisions of the amygdala; the BLA for aIC projections, and the CeA, including the lateral and medial divisions (CeL and CeM) for pIC projections (Fig. 3d,e). However, these projections are not selective, as a substantial amount of axonal fibers from the aIC were also detected in the CeL and CeM, and axonal fibers from the pIC were also detected in the BLA, which challenges the notion of two segregated insula-amygdala pathways (aIC-BLA and pIC-CeA)27. In addition, we identified strong and selective contralateral projection from the right to left aIC and right to left pIC, as well as dense axonal fibers from both aIC and pIC at the nucleus accumbens core (NAc, Fig. 3d,e). Taken together, this anatomical study shows that although aIC neurons project to different amygdala nuclei, the BLA remains the main target.
Neurons of the IC monosynaptically excite BLA and CeM neurons
To test the existence of a direct (monosynaptic) connection from insular neurons onto amygdala neurons we performed optogenetic circuit mapping of insular synaptic inputs onto BLA and CeM neurons using whole-cell patchclamp recordings17, 30. We injected AAV9-CaMKIIɑ-ChR2-eYFP in the IC to record optically evoked excitatory and inhibitory postsynaptic currents (oEPSC and oIPSC) in neurons in amygdala nuclei clamped at 70 mV and 0 mV, respectively (2 ms light pulse, Fig. 4a and Extended data Fig. 2b). First, we found that BLA neurons have higher membrane capacitance and lower membrane resistance compared to CeM neurons, consistent with the larger size of most BLA neurons which are excitatory, while most CeM neurons are smaller and inhibitory (Extended data Fig. 2a). Second, we observed in both BLA and CeM neurons a remaining fraction of the oEPSC after blockade of network activity (TTX+4AP, Fig. 4b,c), indicating monosynaptic excitatory inputs from the IC on both BLA and CeM neurons. The addition of glutamatergic antagonists (AP5+NBQX) abolished the monosynaptic excitatory response, confirming its glutamatergic nature (Fig. 4b,c). Third, oIPSCs were systematically present, and abolished after TTX+4AP application, confirming they are polysynaptic connections as we used CaMKIIɑ promoter to express ChR2 in insular neurons. Finally, the latencies of polysynaptic oEPSC and oIPSC peak and monosynaptic oEPSC (TTX+4AP) from the onset of each light pulse were similar between IC-BLA and IC-CeM projection neurons (Fig. 4d and Extended data Fig. 2c). Interestingly, the latency from light onset to the oPSC peak was shorter for the oEPSC than for the oIPSC in both neuronal populations (Fig. 4d), in line with their respective mono- and poly-synaptic nature. Together, these results demonstrate that neurons of the IC glutamatergic neurons mono- and poly-synaptically excite BLA and CeM neurons, and polysynaptically recruit local inhibition.
IC-BLA and IC-CeM synapses exhibit different short-term dynamics
In order to examine the release properties of insular presynaptic synapses in different downstream neurons, we used paired- or train-pulse stimulation protocols31. Paired-pulse photostimulation of insular terminals (2 ms light pulse, 50 ms of interstimulus interval) was applied to measure excitatory and inhibitory pairedpulse ratios (PPRs) in BLA or CeM neurons (Fig. 4e). The PPRs of oEPSC and oIPSC were < 1, indicating that insular inputs on BLA and CeM neurons are depressing (Fig. 4e). Although PPRs were similar in BLA and CeM neurons, train stimulations (10 pulses of 2 ms, 50 ms interval) of insular terminals revealed that, starting from the third photostimulation, IC inputs to BLA neurons were more depressed than IC inputs to CeM neurons (Fig. 4f,g).
aIC-BLA and BLA-aIC recurrent connections
Reciprocal connection between the IC and BLA has been described32. However, the recurrent nature of this loop had not been explored. Using a combination of retrograde tracing and optogenetic circuit mapping, we identified the existence of a recurrent circuit with monosynaptic excitation of BLA-aIC neurons by aIC inputs, as well as monosynaptic excitation of aIC-BLA neurons by BLA inputs (Fig. 4h,i).
IC-BLA and IC-CeM neurons have distinct intrinsic properties
Intrinsic membrane properties of IC-BLA and IC-CeM neurons were recorded from neurons labelled with retrograde tracers (Fig. 4j-m and Extended data Fig. 2d,e). Interestingly, the membrane capacitance of ICBLA was larger than the membrane capacitance of ICCeM projection neurons, suggesting IC-BLA neurons are larger compared to ICCeM neurons (Fig. 4n). Other passive membrane properties, such as membrane resistance and input resistance, were comparable between these two types of projection neurons (Fig. 4n and Extended data Fig. 2d). Some active properties were also different between the two neuronal projection populations, including the firing threshold, which was markedly higher in ICBLA neurons compared to ICCeM neurons (Fig. 4o), as well as the firing frequency induced by current injection which was different between these two projection populations (Fig. 4p). Interestingly, the firing frequency was higher in IC-CeM neurons for low injected currents, whereas injection of larger currents induced a higher firing frequency in ICBLA neurons. Overall, these data suggest that insula neurons have different electrical and synaptic properties depending on their projection target, suggesting they might support different functions.
aIC-BLA projection neurons control anxiety and are more active in anxiogenic spaces
As we observed that glutamatergic neurons of the aIC control the level of anxiety (Fig. 1), and their main downstream target is the BLA (Fig. 3), we hypothesized that aIC-BLA neurons are a major contributor to this function. To test the causal role of aIC-BLA projection neurons in anxiety-related behaviors, we used an optogenetic approach during anxiety assays, using the novel opsin somBiPOLES33. This soma-targeted opsin is a fusion protein of the inhibitory opsin GtACR234 and the excitatory opsin Chrimson35, enabling activation and inhibition of the same neuronal populations through illumination at different wavelengths (Fig. 5a-c). We expressed somBiPOLES bilaterally, in aIC-BLA neurons through a dual viral vector approach, and manipulated their activity through optic fibers implanted above the aIC (Extended data Fig. 3a,b). To evaluate the instantaneous effect of activation or inhibition of aIC-BLA neurons on anxietyrelated behaviors, mice were tested in sessions composed of 6 epochs, beginning with neural activation (orange light), followed by inhibition (blue light) and a resting epoch (OFF, Fig. 5d,e). Averaged over all epochs (activation/inhibition/OFF), the time spent in the anxiogenic zone, was lower for the somBiPOLES group, which spent less time in the center of the OFT and tended to spend less time in the open arms of the EPM (p=0.23), in comparison to the control group (mCerulean, Fig. 5d,e). Importantly, no effect of light was detected on locomotion, as measured by distance travelled in the OFT (Fig. 5f). After behavioral tests, aIC-BLA neurons were illuminated with orange light (activation of Chrimson), and immunofluorescent staining of cFos in fixed brain slices revealed a significant increase of cFos expressing cells in somBiPOLES expressing neurons compared to control neurons expressing mCerulean (Extended data Fig. 3c). Taken together, our results support that aICBLA neurons play a functional role in anxietyrelated behaviors. Nevertheless, as both activation and inhibition of aICBLA projections neurons decrease anxiety-related behavior, these causal experiments do not provide information on how aIC-BLA neurons encode anxiety.
Thus, we used fiber photometry, by expressing GCaMP6m selectively in aIC-BLA neurons by using a credependent dual-virus strategy, and implanting an optical fiber in the aIC (Fig. 5g,h and Extended data Fig. 4a,b) to record calcium signals (Fig. 5i,j) during anxiety-related behaviors. While the mice explored the EPM (Fig. 5k), the global calcium signal was increased in the open arms compared to the closed arms (Fig. 5l and Extended Video 1), and the frequency of calcium transients tended to increase in the open arms (p=0.12, Fig. 5m). In the OFT, we also observed an increase of the global calcium signal in the anxiogenic space (center, Fig. 5o,p), as well as a trend for an increased in the frequency of calcium transients (p=0.16, Fig. 5q).
To test the link between calcium signal of aIC-BLA projection neurons and trait anxiety, we correlated the difference between the calcium transients frequency in anxiogenic and safe spaces, with the overall anxiety level of individual animals, estimated by the percentage of time spent in the open arms of the EPM. We reasoned that the most anxious mice spent the least time in the open arms. Interestingly, for the transients recorded in the EPM, but not the OFT, the differential transient frequency (open-closed) is positively correlated with the anxiety level of the animals (Fig. 5n,r), linking the transient activity of aIC-BLA neurons in anxiogenic spaces to the animal level of trait anxiety. Altogether, our data show that the activity of aICBLA neurons controls the level of state anxiety, is increased in anxiogenic spaces, and is correlated to trait anxiety.
Bidirectional representation of valence in aIC-BLA projection neurons
Using optogenetic real-time place preference, a previous study has shown that the aIC-BLA pathway drives place preference, suggesting this pathway contributes to code for positive valence27. To bidirectionally test the causal role of aIC-BLA projection neurons in valence-related behaviors, we used a cre-dependent dual viral strategy to express either the excitatory opsin ChR2 or the inhibitory opsin GtACR2 in aIC-BLA neurons, and implanted a fiber optic over the aIC (Extended data Fig. 5a,b). After confirmed that illumination of aIC-BLA neurons expressing GtACR2 induces an inhibition of action potential firing in these neurons using whole-cell patch-clamp recordings ex vivo (Extended data Fig. 5ce), we tested the impact of activation or inhibition of aIC-BLA neurons in a closed-loop realtime place preference/avoidance assay (RTPP/A). In this test, mice freely explored two chambers, including one where aICBLA projection neurons were activated or inhibited, depending on the opsin expressed. Photoactivation of aIC-BLA projection neurons only tended to induce a preference for the light-paired side, compared to control mice (p=0.07, Fig. 6a,b), while photoinhibition of this same population, in another group of mice, induced a preference for the light-paired side compared to control mice (Fig. 6c,d). Together, these data show that inhibition of aICBLA projection neurons can induce place preference, which suggests these neurons are involved in negative valence.
To identify how aIC-BLA neurons encode emotional valence, we performed fiber photometry recordings of this population during valence-related behaviors. Interestingly, during sucrose consumption, we observed a decrease of the calcium signal after mice licked the sucrose solution (Fig. 6f,g). In contrast, quinine consumption did not alter calcium signals after licking the solution (Fig. 6i,j). However, mild foot-shocks (10 shocks, 0.3 mA, 1 s duration, Fig. 6k) strongly increased aIC-BLA calcium signal (Fig. 6l,m). Finally, a third stimulation of negative valence (tail suspension Fig. 6n) also induced an increase of the calcium signal in aIC-BLA neurons (Fig. 6o,p). Together, these data suggest that aIC-BLA neurons bidirectionally encode valence through an inhibition in response to positive valence and activation in response to negative valence.