Abstract
The anterior cingulate cortex (ACC) responds to noxious and innocuous sensory inputs, and integrates them to coordinate appropriate behavioral reactions. However, the role of the projections of ACC neurons to subcortical areas and their influence on sensory processing are not fully investigated. Here, we identified that ACC neurons projecting to the contralateral claustrum (ACC→contraCLA) preferentially respond to contralateral mechanical sensory stimulation. These sensory responses were enhanced during attending behavior. Optogenetic activation of ACC→contraCLA neurons silenced pyramidal neurons in the contralateral ACC by recruiting local circuit fast-spiking interneuron activation via an excitatory relay in the CLA. This circuit activation suppressed withdrawal behavior to mechanical stimuli ipsilateral to the ACC→contraCLA neurons. Chemogenetic silencing showed that the cross-hemispheric circuit has an important role in the suppression of contralateral nociceptive behavior during sensory-driven attending behavior. Our findings identify a cross-hemispheric cortical-subcortical-cortical arc allowing the brain to give attentional priority to competing innocuous and noxious inputs.
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Introduction
The ACC is important for both sensory integration and the processing of sensory and affective aspects of pain1, and synaptic plasticity in the ACC is important in the induction of chronic pain2,3. Recent studies using genetic tools identified roles for neuronal circuits of the ACC in pain regulation4,5,6,7,8,9. Specifically, optogenetic or chemogenetic activation of ACC pyramidal neurons causes pain hypersensitivity, and conversely, their inhibition alleviates pain hypersensitivity and aversion in rodent pain models4,10,11. More recently, a cross-hemispheric ACC projection has been described that facilitates contralateral ACC neuronal activity and is involved in spatial generalization of pain with bilateral allodynia after unilateral peripheral nerve injury12. However, the physiological roles of contralateral projections of ACC to other brain regions, in particular, those mediating inhibitory interactions between the ACCs, have not been characterized.
It is reported that the ACC connects more strongly to the contralateral than the ipsilateral claustrum (CLA)13. The CLA has widespread connections mainly with cortical areas and is believed to be an important negative regulator of cortical activity for a range of functions, including multisensory integration, salience detection, sleep state, and unconsciousness14,15,16. The CLA is also important in the cognitive control of action17,18,19 and supports behavioral output by suppressing irrelevant sensory inputs and promoting focus20. The CLA is known to have reciprocal projections with the ACC20, but the role of these projections in pain regulation or sensory prioritization is largely unknown21.
Using viral tracing and in vivo and slice electrophysiology, we show that ACC neurons projecting to the contralateral CLA (ACC→contraCLA) preferentially respond to contralateral mechanical sensory stimulation, and these responses are enhanced during sensory-driven attending behavior. Opto- and chemogenetic activation of ACC→contraCLA neurons induced silencing of the contralateral ACC via the CLA. This circuit was important for contralateral inhibition of mechanical sensation during lateralized attending behavior to the opposite side. Our findings identify a cross-hemispheric mechanism via a cortical–subcortical–cortical arc allowing the brain to give attentional priority to competing innocuous and noxious inputs.
Results
ACC neurons preferentially innervate the contralateral CLA
To investigate the axonal trajectory of ACC neurons, we expressed a channelrhodopsin variant, Chronos22, fused with GFP in ACC neurons by microinjection of AAV-hSyn-Chronos-GFP in the left ACC (Fig.1a). The GFP-expressing axonal terminals were distributed broadly in cortical and subcortical areas, e.g., contralateral ACC12, retrosplenial cortex23, striatum24, basolateral amygdala (BLA)7, mediodorsal thalamus (MD), zona incerta (ZI) and CLA (Fig. 1b). The fluorescent intensity of the GFP-expressing terminals in the CLA was stronger in the right (contralateral to the AAV injection side) than in the left side (Fig. 1c, d), in consistent with a previous report13, while in the other subcortical regions (MD, BLA ZI and parafascicular nucleus (PaF)) the GFP-expressing terminals were always denser in the left (ipsilateral) hemisphere (Fig. 1d). We further confirmed the lateralized projection pattern to the CLA by injecting an AAV virus containing a pyramidal neuron-selective promoter, AAV5-CaMKIIα-hM4Di-mCherry, into the left ACC (Supplementary Fig. 1a, b), and found that the mCherry-expressing ACC terminals were denser in the contralateral CLA than in the ipsilateral CLA (Supplementary Fig. 1c, d). To explore this asymmetry of ACC neuronal projections, we injected a retrograde tracer (Retrobeads) unilaterally into the right CLA (Fig. 1e) and compared the number of bead-labeled (bead+) ACC neurons on both sides. Significantly more bead+ ACC neurons were retrogradely labeled on the contralateral side than ipsilateral for both layer II and layer III‒VI (Fig. 1f, g). To investigate how ACC neurons innervate adjacent areas of the CLA, we injected Retrobeads into the right insular cortex (IC) or dorsolateral striatum (dlStr), and found that the number of bead+ cells retrogradely labeled from the IC or the dlStr was extremely lower than that from the contralateral and ipsilateral CLA (Supplementary Fig. 1e–h), suggesting selective innervation to the contralateral CLA from the ACC. These results indicate that a greater number of ACC neurons project to the contralateral rather than the ipsilateral CLA.
ACC→contraCLA neurons preferentially respond to contralateral mechanical stimulation
ACC neurons are known to participate in the processing of noxious and innocuous sensory stimuli25,26. To examine the sensory responsiveness of ACC neurons projecting to the contralateral CLA (ACC→contraCLA neurons), we injected AAV-hSyn-Chronos-GFP into the left ACC, and the tip of an optical fiber was positioned above the right CLA, allowing optogenetic antidromic identification27,28 (Fig. 2a, b). The single unit activity of the left ACC neurons in layers III–VI was recorded in awake head-fixed mice. We identified ACC→contraCLA neurons by the presence of antidromic responses to light stimulation in the CLA (473 nm, 3 ms) (Fig. 2c). Light stimulation elicited constant latency action potentials (AP) (9.41 ± 0.36 ms; jitter, 0.183 ± 0.010 ms, at 20 Hz; n = 33). We examined the responses of these identified ACC→contraCLA neurons to three mechanical stimuli (0.16 g and 0.6 g von Frey stimulation of the whisker pad and whisker stroking) applied bilaterally. The majority of ACC→contraCLA neurons tested (72.7%, 24/33 units) showed evoked APs in response to each of the mechanical stimuli, but the firing rates of the responses elicited by mechanical stimulation applied to the right (contralateral to the recorded ACC neuron) were greater than those elicited by ipsilateral stimulation (Fig. 2d–g).
ACC→contraCLA sensory responses are enhanced when the mice exhibit sensory-driven attending behavior
The ACC is known to participate in processing multiple aspects of the sensory experience, such as attentional states and affective-motivated behaviors29. Following each mechanical stimulus, the mice often exhibited a stereotyped forelimb wipe of their muzzle (using the forelimb on that side, which induced forelimb EMG discharges), a type of attentional behavior30,31. Therefore, we compared the responses of ACC→contraCLA neurons elicited by whisker stroking with or without forelimb wiping. The firing rate of ACC→contraCLA neurons in response to the right-sided whisker stroking (contralateral to the recorded neuron) was higher during wiping behavior than on those trials without the behavior (Fig. 2h, i). We further found that no such significant influence of wiping behavior was observed on the ACC→contraCLA responses to ipsilateral stimulation (Fig. 2j). These observations suggest that ACC→contraACC neurons preferentially respond to contralateral mechanical stimulation, and the responses are enhanced during sensory-driven attending behavior.
A cross-hemispheric ACC to ACC inhibitory circuit arc relays via the CLA
CLA neurons project ipsilaterally to densely innervate higher-order cortical areas, including the ACC16. To examine the synaptic connections of ACC→contraCLA neurons to CLA neurons projecting to the ACC, we injected AAV-hSyn-Chronos-GFP into the left ACC, followed by the injection of Retrobeads into the right ACC 3 weeks after the first AAV injection. Subsequently, whole-cell recordings were made from Retrobead-labeled CLA (CLA→ipsiACC) neurons in brain slices (Supplementary Fig. 2a). The Chronos-GFP-expressing terminals of ACC→contraCLA neurons in the right CLA were noted to be located in close proximity to the CLA→ipsiACC neurons (Supplementary Fig. 2b). Recordings from CLA→ipsiACC neurons showed they had a spiny morphology (Supplementary Fig. 2b) and strongly adapting firing patterns including a bursting firing (Supplementary Fig. 2c), as reported previously17,32. Optogenetic activation of ACC→contraCLA terminals elicited EPSCs in all CLA→ipsiACC neurons tested (n = 12/12), and these synaptic responses were inhibited by the AMPA/kainate receptor antagonist, CNQX (control, 247.8 ± 72.4 pA; CNQX, 12.4 ± 2.7 pA; n = 5, P < 0.05, two-tailed paired t-test). In the presence of TTX and 4-AP, the light-evoked EPSCs were still detected in 5/6 CLA→ipsiACC neurons (Supplementary Fig. 2d, e), indicating that ACC→contraCLA neurons make monosynaptic glutamatergic contacts with CLA→ipsiACC neurons, inconsistent with previous reports33,34. This ACC→contraCLA-evoked EPSP generated AP discharge in 7/12 CLA→ipsiACC neurons (Supplementary Fig. 2f), indicating efficient information transfer from contralateral ACC via the CLA neurons towards the ipsilateral ACC.
We next determined which type of ACC neurons received the synaptic input from the post-synaptic CLA neurons of the contralateral ACC (CLA←contraACC neurons). To investigate the innervation of CLA←contraACC neurons, we injected an anterograde transsynaptic AAV1 virus35 into the left ACC to express Flpo recombinase anterogradely from the ACC (AAV1-EF1α-Flpo). This was followed by injection of a Flp-dependent Chronos-GFP expressing viral vector, AAVDJ-fDIO-Chronos-GFP, into the right CLA (Fig. 3a). We observed robust expression of Chronos-GFP in anterogradely labeled neurons in the right CLA (CLA←contraACC). As expected, the GFP-expressing terminals of these CLA neurons were mainly detected in the right (ipsilateral) ACC (Fig. 3b, Supplementary Fig. 3, see also the lower image in Fig. 3d). Recordings from the CLA←contraACC neurons in the right CLA confirmed that they expressed sufficient Chronos to be optogenetically driven to fire APs in response to light stimulation (Fig. 3c). To examine the synaptic inputs from CLA←contraACC neurons to the ipsilateral ACC, we recorded from layer III‒VI neurons. The recorded ACC neurons were categorized into regular-spiking (layer III‒VI pyramidal neurons) and fast-spiking interneurons (INs) according to their response to depolarizing current injections (Fig. 3d, e, h). Light stimulation of the Chronos-expressing terminals of the CLA←contraACC neurons in the ACC evoked EPSCs in both types of ACC neurons (Fig. 3f, i) (regular spiking, 10/17; fast-spiking, 12/12). We also performed electrophysiological recordings from neurons in superficial layers (Fig. 3k, l, o, p), and they also exhibited light-evoked EPSCs (Fig. 3m, q) (layer II pyramidal, 11/15, layer I INs, 11/13). Although the cell capacitance was larger in pyramidal neurons than fast-spiking INs and layer I INs, suggesting pyramidal neurons have larger cell surface areas (Fig. 3s), the amplitude of light-evoked EPSCs was significantly greater in fast-spiking INs than the other neurons (Fig. 3t). There were no significant differences in the paired-pulse ratio (PPR) of the light-evoked EPSCs (Fig. 3u). Accordingly, the amplitude of light-evoked EPSPs (excitatory postsynaptic potentials) of fast-spiking INs was significantly higher than those of the other neurons (Fig. 3g, j, n, r, v), and these synaptic inputs could only evoke APs in the fast-spiking INs (layer III‒VI pyramidal, 0/17; fast-spiking INs, 4/12; layer II pyramidal, 0/15; layer I INs, 0/13). These findings suggest that CLA←contraACC neurons make excitatory glutamatergic synaptic contacts ipsilaterally with ACC neurons and preferentially activate fast-spiking INs (inhibitory INs) in the ACC.
Activation of ACC→contraCLA neurons induces a cortical down-state and inhibits sensory responses in the contralateral ACC
To investigate how ACC→contraCLA neurons modulate neuronal activity of the downstream target, the contralateral ACC, we recorded local field potential (LFP) and single-unit activity in the deep layers of the right ACC of the awake head-fixed mice in which AAV-hSyn-Chronos-GFP was injected into the left ACC and an optical fiber was positioned above the right CLA (Fig. 4a). Optogenetic stimulation of the terminals of ACC→contraCLA neurons in the right CLA induced a long lasting (100‒150 ms) silencing of spontaneous unit activity of pyramidal neurons in the right ACC with large positive slow waves (SWs, 0.5‒4 Hz) evident in the LFP (shown in Fig. 4b). This ACC→contraCLA optogenetic activation (2 Hz for 2.5 s) significantly increased 0.5‒4 Hz EEG delta power (Fig. 4c). Consistently, light stimulation decreased unit activity of putative pyramidal neurons for ~150 ms and transiently increased that of putative interneurons (Fig. 4d‒f), as shown previously in the actions of direct claustral stimulation15. Next, we tested whether stimulation frequency could affect the EEG delta power increase using different stimulation protocols (2, 5, 10, or 20 Hz, for 2 s), and found that each light stimulation increased the EEG delta power in the right ACC (Supplementary Fig. 4a, b), but the power increase induced by 20 Hz stimulation was significantly lower than those of the other frequencies (Supplementary Fig. 4c), suggesting efficacy of the SW induction depends on ACC input manners. Furthermore, to confirm these effects were mediated by the contralateral CLA, we performed optogenetic inhibition experiments to control the activity of CLA→ipsiACC neurons with optical activation of ACC→contraCLA neurons. We injected a retrograde AAV expressing Cre recombinase (AAV2-retro-EF1α-Cre)36 into the right ACC and an AAV expressing eNpHR3.0-EYFP, an inhibitory opsin, in Cre dependent manner (AAV9-EF1α-FLEX-eNpHR3.0-EYFP)37 into the right CLA, enabling the restricted and functional expression of eNpHR-EYFP in the right CLA→ipsiACC neurons (Supplementary Fig. 5a‒c). Using the above strategy with expression of Chronos-GFP in the left ACC neurons and optical fiber implantation on the right CLA (Supplementary Fig. 5d), we simultaneously manipulated the ACC→contraCLA neuronal terminals by blue light and CLA→ipsiACC neurons by red light (633 nm) in the right CLA. Then, we performed LFP recording from the right ACC of the mice and found that inhibition of the right CLA→ipsiACC neurons by red light significantly suppressed the EEG delta power increase induced by blue light stimulation of the left ACC→contraCLA neurons (Supplementary Fig. 5e‒g), confirming that the contralateral CLA is involved in the EEG delta power increase evoked by activation of ACC→contraCLA neurons. These findings suggest that activation of ACC→contraCLA neurons is sufficient to activate contralateral ACC interneurons via the contralateral CLA, and induce a feedforward inhibition of contralateral pyramidal neurons in awake mice.
We next investigated how light stimulation applied to the right CLA (containing the terminals of left ACC→contraCLA neurons) modulates the responses of the right ACC neurons to mechanical stimuli. CLA opto-stimulation (10 Hz for 10 s) reduced the sensory responses in these ACC neurons evoked by mechanical stimulation applied to the contralateral muzzle (Fig. 4g–j). We therefore hypothesized that activation of ACC→contraCLA neurons would modulate behavioral mechanical responses through the inhibition of the contralateral ACC. Then, we performed the von Frey test with optogenetic manipulation of ACC→contraCLA neurons (Fig. 4k, l) and found that the optogenetic stimulation of the right CLA terminals of the left ACC→contraCLA neurons (10 Hz) in the Chronos-expressing group increased the withdrawal threshold of the hindpaw ipsilateral to the left AAV-injected side (contralateral to the CLA terminals), but these changes were not observed in that of the other hindpaw or those of the control group expressing GCaMP6s (Fig. 4m, n). To investigate the involvement of the CLA in these behavioral alterations, we used the anterograde strategy to express Chronos-GFP in CLA←contraACC neurons in the right CLA (Fig. 4o and see also Fig. 3a‒c). Activation of the CLA←contraACC neurons (10 Hz) significantly increased the withdrawal threshold of the hindpaw contralateral to the stimulated CLA in the Chronos-expressing mice, but light stimulation did not affect that of the other hindpaw or those of control animals expressing YFP (Fig. 4p, q). These data confirm the engagement of the contralateral CLA in the behavioral alterations induced by the activation of ACC→contraCLA neurons. Furthermore, we performed behavioral experiments using a chemogenetic strategy, we injected a retrograde AAV expressing Flpo recombinase36,38 into the right CLA (AAV2-retro-EF1α-Flpo) and an AAV expressing hM3Dq39, excitatory DREADD, in Flp dependent manner into the left ACC (AAV9-EF1α-fDIO-hM3Dq-P2A-mCherry) (Supplementary Fig. 6a). This produced hM3Dq-mCherry functional expression in ACC→contraCLA neurons located in layer II–VI of the left ACC (Supplementary Fig. 6b‒e). CNO administration (CNO 3 mg/kg, i.p.) to hM3Dq-expressing mice slightly but significantly increased the withdrawal threshold of the paw ipsilateral to the left (hM3Dq-expressing side) ACC compared to control groups (Supplementary Fig. 6g), but not contralateral to the left ACC (Supplementary Fig. 6f). These results suggest that ACC→contraCLA neurons inhibit behavioral responses evoked by mechanical stimulation applied to the ipsilateral paw mediated through the silencing of the contralateral ACC via the contralateral CLA activation.
ACC→contraCLA neurons are involved in lateralized attentional pain modulation
Because ACC→contraCLA neurons inhibited the behavioral responses elicited by ipsilateral mechanical stimulation (Fig. 4k‒n), and their activity in awake mice was enhanced during attending behavior (see Fig. 2), we hypothesized that ACC→contraCLA neurons would suppress withdrawal responses to ipsilateral sensory stimulation during contralateral attending behavior.
To induce attending behaviors on the unilateral side, we applied repetitive mechanical stimulation to the unilateral (right) hindpaws of mice (see Methods). The mice exhibited “guarding and lifting” or “licking and biting” of the stimulated (right) hindpaw (Fig. 5a). During these attending behaviors, we applied a von Frey stimulation to the left hindpaw (opposite side to the paw in where attending behaviors were induced). We found that the rate of withdrawal response to the left 1 g von Frey stimulation was increased after the repetitive stimulation when the mice did not exhibit attending behaviors. However, it was strikingly decreased when the mice exhibited “guarding and lifting” or “licking and biting” behaviors (Fig. 5b), suggesting that when the mice exhibit attending behaviors focused on the unilateral hindpaw, their mechanical withdrawal behavior on the contralateral side is suppressed.
We examined the same behavioral test using a 2 g von Frey filament as a stronger mechanical stimulation. The withdrawal response rate for the 2 g filament was higher than that for 1 g filament before the repetitive stimulation, and it was not altered after the repetitive stimulation during periods without attending behavior (Fig. 5c). However, the withdrawal rate for the 2 g filament was also significantly attenuated during “licking and biting”, but not “guarding and lifting” behaviors (Fig. 5c). These results suggest that withdrawal responses to stronger mechanical stimulation are also suppressed during a specific attending behavior.
We then examined whether the ACC→contraCLA to contralateral ACC silencing arc was engaged to mediate this phenomenon. After the repetitive right paw stimulation, we observed robust c-Fos expression both in the left and right ACC, but a greater number of c-Fos+ cells were observed in the left ACC (contralateral to the repetitive stimulation) (Fig. 5d; left (contra), 100.1 ± 17.1; right (ipsi), 89.7 ± 15.5; n = 5, p < 0.05, two-tailed paired t-test). C-Fos expression was also examined in the CLA after repetitive stimulation, and a higher number of c-Fos+ cells were also observed in the right CLA (ipsilateral to repetitive stimulation) (Supplementary Fig. 7). Furthermore, we examined ACC→contraCLA neuronal responses to the repetitive mechanical stimulation using fiber photometry method40, where we retrogradely expressed GCaMP6s41, a genetically encoded Ca2+ indicator, or YFP for control by injection of AAV2-retro-EF1α-Flpo into the right CLA, and of AAV9-EF1α-fDIO-GCaMP6s or AAV9-EF1α-fDIO-YFP into the left ACC (Fig. 5e, f). The GCaMP6s fluorescent signals in ACC→contraCLA neurons on the left side were increased by repetitive mechanical stimulation (for ~20 s) to each hindpaw (Fig. 5g), but the averaged amplitude of response to right (contralateral) stimulation was stronger than that of left (ipsilateral) (Fig. 5h). On the other hand, the fluorescent signals in YFP mice did not change during the repetitive stimulation (Fig. 5g). These findings are consistent with the observations that ACC→contraCLA neurons were preferentially activated by contralateral sensory stimulation to elicit AP discharge in contralateral CLA neurons.
To inhibit neuronal activity in this ACC→contraCLA to contralateral ACC silencing pathway, we retrogradely expressed PSAM4-GlyR42, an inhibitory chemogenetic actuator, or YFP by injections of AAV2-retro-EF1α-Flpo into the right CLA, and of AAV9-EF1α-fDIO-PSAM4-Gly-P2A-mCherry43 or AAV9-EF1α-fDIO-YFP into the left ACC (Fig. 5i, j). Whole-cell patch–clamp recording from mCherry-positive ACC neurons showed that varenicline (100 nM, a potent agonist of PSAM4-Gly) significantly inhibited AP firing induced by depolarizing current injections (Fig. 5k, l) as a result of electrical shunting, and also reduced the input resistance (pre, 350.2 ± 48.9 MΩ; pre, 165.2 ± 53.0 MΩ; n = 7, p < 0.05, two-tailed paired t-test), inconsistent with the previous study42. We then examined whether the inhibition of ACC→contraCLA neurons by varenicline affects the reduction of withdrawal responses during attending behaviors. In mice expressing PSAM4-GlyR or YFP in ACC→contraCLA neurons in the left side, varenicline did not affect basal mechanical withdrawal thresholds for either hindpaw (Fig. 5m, n). However, during “guarding and lifting” or “licking and biting” behaviors to the right (contralateral to the PSAM4-GlyR-expressing ACC side) hindpaw induced by repetitive stimulation, the inhibition of the left ACC→contraCLA neurons by varenicline significantly increased the rate of withdrawal responses to 1 and 2 g stimulation applied to the left hindpaw (Fig. 5o). When the mice did not exhibit any such attending behaviors (no nocifensive attending), the response rates were not changed. When attending behaviors were induced in the left (ipsilateral to the PSAM4-GlyR-expressing ACC side), inhibition of the left ACC→contraCLA neurons had no effect on the withdrawal rate of 1 and 2 g stimulation applied to the right (Fig. 5p). To investigate the engagement of the contralateral CLA, a downstream target of ACC→contraCLA neurons, in these behavioral effects, we used an anterograde strategy to express PSAM4-GlyR in the right CLA←contraACC neurons by injecting AAV1-EF1α-Flpo into the left ACC, and AAV9-EF1α-fDIO-PSAM4-Gly-P2A-mCherry into the right CLA (Supplementary Fig. 8a‒d). Inhibition of the right CLA←contraACC neurons reproduced the behavioral effects induced by inhibition of the left ACC→contraCLA neurons (Supplementary Fig. 8e‒h). Furthermore, these effects were also phenocopied by inhibition of the right ACC inhibitory neurons, downstream targets of the right CLA←contraACC neurons, by CNO using Vgat-Cre mice injected with AAV9-EF1α-FLEX-hM4Di-mCherry into the right ACC (Supplementary Fig. 9).
Next, we performed a similar behavioral paradigm by formalin injection to the unilateral (right) hindpaw, which is known to induce spontaneous nocifensive attending behavior (instead of repetitive mechanical stimulation). After formalin injection (20‒30 min), we applied 1 or 2 g von Frey stimulation to the left (opposite side to formalin injection), and found that formalin-induced attending behaviors also inhibited 1 and 2 g von Frey responses of the left hindpaw (Supplementary Fig. 10a–c). This formalin-induced contralateral pain inhibition (right side for formalin injection) was also attenuated by silencing of left ACC→contraCLA neurons, where we used the same strategy as shown in Fig. 5i to express PSAM4-GlyR in the left ACC→contraCLA neurons (Supplementary Fig. 10d). These results suggest that during attending behaviors on one side, behavioral reactions to contralateral mechanical stimulation are inhibited by the engagement of ACC→contraCLA neurons which produce inhibition of the contralateral ACC via the CLA.
ACC→contraCLA neurons respond to noxious capsaicin treatment, and this excitation intrinsically inhibits contralateral mechanical hypersensitivity
Because the ACC is implicated in pain hypersensitivity2, we examined how ACC→contraCLA neurons are involved in capsaicin-induced hyperalgesia. We recorded the unit activity of ACC→contraCLA neurons expressing-Chronos in the left side (Fig. 6a). Capsaicin injected into the right (contralateral to Chronos-expressing ACC→contraCLA neurons) cheek significantly increased their firing frequency (Fig. 6b). Then, to investigate whether ACC→contraCLA neurons are involved in capsaicin-induced hyperalgesia, we used the same strategy as shown in Fig. 5e to express PSAM4-GlyR or YFP in the left ACC→contraCLA neurons (Fig. 6c), and injected capsaicin into the right (contralateral to the PSAM4-GlyR-expressing ACC side) hindpaw. The silencing of the left ACC→contraCLA neurons by varenicline did not affect licking time and the subsequent mechanical hypersensitivity for the capsaicin-injected right paw (Fig. 6d, e). However, varenicline induced a mechanical hypersensitivity (lowered threshold) to the left (opposite side to capsaicin injection) paw (Fig. 6f). Furthermore, these behavioral effects were phenocopied by silencing of the right CLA←contraACC neurons, downstream targets of the left ACC→contraCLA neurons, using the same anterograde strategy as shown in Supplementary Fig. 8a‒d to express PSAM4-GlyR in the right CLA←contraACC neurons (Supplementary Fig. 8i‒k). These findings suggest that ACC→contraCLA neurons also respond to capsaicin, and this excitation is intrinsically involved in the inhibition of contralateral mechanical hypersensitivity via the contralateral CLA.
Discussion
The ACC plays a central role in processing the sensory and affective components of pain to guide behavior, and a number of studies have identified a pain-modulating role for the neuronal circuits of ACC1,29. In this study, we showed, via recordings in awake mice, that optogenetically-identified ACC→contraCLA neurons preferentially respond to contralateral mechanical sensory stimulation. These responses were enhanced during sensory-driven attending behavior. We show that engagement of ACC→contraCLA neurons inhibits the contralateral ACC via the CLA. Chemogenetic manipulations of this cross-hemispheric inhibitory circuit revealed that this circuit mediated suppression of the contralateral withdrawal reflex during sensory-driven attending behavior. These findings define a mechanism by which the ACC influences the processing of spatially distinct (lateralized) and competing sensory input to prioritize and resolve behavioral conflicts (Fig. 7). However, although the projection of ACC neurons to the ipsilateral CLA is weaker than that to the contralateral CLA, further studies are needed to identify the physiological roles of the ACC projection to the ipsilateral CLA.
A recent study reported that ACC neurons with cross-callosal projections to the contralateral ACC are important in the induction of bilateral pain in chronic pain conditions by acting to enhance neuronal activity in both sides of ACC12. However, it is unlikely that this pain-facilitating mechanism is the only interaction between the ACC. Therefore, the role of contralateral projections of ACC neurons to subcortical nuclei and their potential inhibitory role in sensory modulation has not been adequately explored. It is known that ACC neurons densely innervate contralateral CLA34,44, but the sensory responsiveness and behavioral role of ACC→contraCLA neurons have not been determined. Mechanical stimulation of whisker pad or whisker of head-fixed awake mice showed that ACC→contraCLA neurons preferentially responded to contralateral mechanical stimulation. This activation of ACC→contraCLA neurons was stronger when mice exhibited wiping behavioral responses to the mechanical stimuli. This suggests that sensory responses in ACC→contraCLA neurons are augmented during attending behavior. A body of literature suggests that ACC neurons in rodents respond to both noxious and innocuous stimuli45,46, and studies in primates showed that ACC neurons responded to multimodal sensory inputs, including tactile stimulation triggering task movement47, and this activity represents not only pain itself but also attention to pain and escape behavior48. Our findings together with these previous studies, emphasize that ACC activity represents multiple aspects of pain and associated action planning as part of sensory-triggered affective-motivational behaviors. However, the underlying circuit mechanisms controlling the ACC activity levels and behavioral consequences are still unknown, and further studies are needed to reveal them.
The CLA is widely connected with the neocortex and negatively modulates its activity14,15, and is important for attention by inhibiting cortical representations of distractor sensations20. The ACC connects more strongly to the contralateral than the ipsilateral CLA, but the physiological role of this circuit has not been identified. In our study, ACC→contraCLA neurons were strongly modulated by sensory-driven attending behavior, activated contralateral CLA projection neurons resulting in activation of fast-spiking neurons, and inhibited sensory responses in the contralateral ACC. The CLA projects predominantly to forebrain regions but also projects more broadly to cortex16. We observed that the CLA←contraACC neurons mainly project to the ipsilateral cingulate area, but we cannot rule out the possibility that the CLA←contraACC neurons suppress pain responses by inhibition of the other sensory-related regions, e.g., S1, S2, IC, and MCC. However, it is reported that optogenetic CLA stimulation induces SW activity most strongly in the frontal cortex reflecting the CLA projection pattern16. Furthermore, we show that activation of the ACC terminals in the contralateral CLA strongly induced a SW-like inhibition of spontaneous activity and inhibition of sensory responses in the contralateral ACC, suggesting the contralateral ACC is one of the main targets of CLA←contraACC neurons, in accordance with previous studies16,20.
It is also known that internal states can strongly modulate pain perception by endogenous pain circuit activation29,49,50,51. In the von Frey test paradigm, generally, we measured the paw withdrawal threshold of the mice without attending or affective-motivated behaviors such as exploration or grooming behavior52. However, it is not fully characterized how attentional or affective factors modulate pain behavior. We assessed the withdrawal responses of the mice when they exhibited attending behaviors to the unilateral hindpaw, and showed that the withdrawal responses in the contralateral paw were inhibited. The ACC→contraCLA to contralateral ACC inhibitory pathway had an important role in this modulation of contralateral pain responses. Interestingly, in this paradigm, while licking or biting states inhibited both 1 g and 2 g von Frey responses, guarding or lifting states inhibited only 1 g von Frey responses. These results suggest that the response inhibition was dependent on both the strength of the motivated behavior and the intensity of the sensory “test” stimulation. Similarly, ACC→contraCLA neurons responded to capsaicin stimulation, and this was causally shown to be responsible for increasing the mechanical withdrawal threshold on the opposite paw i.e., produced analgesia. These findings are in many ways similar to the conditioned pain modulation paradigm53 or DNIC but without the absolute need for a noxious conditioning stimulus and require the involvement of cortical control rather than just brainstem-level circuitry.
The ACC is involved in assigning salience to sensory events through prioritization and acts as a sensory hub to determine appropriate behavioral strategy23,29, but the mechanisms of affective evaluation of pain is not fully understood. This study revealed the circuit mechanisms to resolve conflict between noxious and innocuous sensations by prioritizing lateralized perception. Our findings provide clues to understand why pain hypersensitivity is generally limited to the inflamed or injured side i.e., how pain lateralization is coded in the brain, while the brainstem pain-controlling descending neurons project to both sides of the spinal cord54. Our study is critical for understanding how both hemispheres interact and coordinate to determine behavioral consequences for lateralized and/or conflicting sensory information.
Methods
Animals
Male C57BL/6 J mice (CLEA Japan) and Vgat-Cre mice (B6J-Slc32a1tm2(cre)lowl/MwarJ, Stock No: 028862, The Jackson Laboratory)55 were used. All mice used were 8–12 weeks old at the start of each experiment and were housed at 22 ± 1 °C with a 12-h light–dark cycle with food and water ad libitum. All animal studies were reviewed and approved by the Institutional Animal Care and Use Committee of Hyogo Medical University and were performed in accordance with the institutional guidelines for animal experiments and were consistent with the ethical guidelines of the International Association for the Study of Pain.
Adeno-associated virus (AAV) production and purification
The pAAV-hSyn-Chronos-GFP (#59170)22, and pAAV-EF1α-FLPX-rc-[Chronos-GFP] (#122102)22, pAAV-EF1α-DIO-hM4D(Gi)-mCherry (#50461)56, pAAV-EF1α-fDIO-YFP (#55641)36, and pAAV-CaMKIIα-hM4D(Gi)-mCherry (#50477)56 were purchased from Addgene. AAV9-hSyn-Chronos-GFP, AAVDJ-EF1α-FLPXrc-[Chronos-GFP], AAV9-EF1a-DIO-hM4D(Gi)-mCherry, and AAV5-CamKIIα-hM4D(Gi)-mCherry were produced using the AAV Helper-Free System (Agilent Technologies) and the detailed methods of AAV production and purification were previously described57,58. AAV1-EF1α-Flpo (55637-AAV1)36, AAVrg-EF1α-Flpo (55637-AAVrg)36, AAV8-EF1a-fDIO-GCaMP6s (105714-AAV8, unpublished, deposited from Dr. Rylan Larsen lab), AAV9-hSyn-GCaMP6s (100843-AAV9)41, AAVrg-EF1α-Cre (55637-AAVrg)36, and AAV9-EF1α-FLEX-eNpHR3.0-EYFP (26966-AAV9)37 were purchased from Addgene. AAV9-EF1α-fDIO-YFP, AAV9-EF1α-fDIO-PSAM4-GlyR-2A-mCherry42,43, and AAV9-EF1α-fDIO-PSAM4-GlyR-2A-mCherry39,43 were provided by the Dr. Makoto Tsuda laboratory.
The used viral titers were as follows: AAV2-retro-EF1α-Flpo, AAV2-retro-EF1α-Cre, AAV9-EF1a-eNpHR3.0-EYFP, and AAV5-CamKIIα-hM4D(Gi)-mCherry, 3 × 1012 genome copies (GC)/ml; AAV9-EF1α-fDIO-YFP, AAV9-EF1α-fDIO-PSAM4-Gly-2A-mCherry, AAV9-EF1α-fDIO-hM3Dq-2A-mCherry, AAV8-EF1a-fDIO-GCaMP6s, and AAVDJ-EF1α-FLPXrc-[Chronos-GFP], 5.0 × 1012 GC/ml; AAV1-EF1α-Flpo, 1.5 × 1013 GC/ml; AAV9-hSyn-Chronos-GFP, and AAV-hSyn-GCaMP6s, 1.5 × 1012 GC/ml.
Microinjections
We used the previously reported method with some modification59. Mice were deeply anesthetized with medetomidine hydrochloride (0.3 mg/kg, Domitol, Meiji Seika Pharma), midazolam (4 mg/kg, Dormicum, Astellas Pharma) and butorphanol (5 mg/kg, Vetorphale, Meiji Seika Pharma), and the head of the mice was fixed in a stereotaxic apparatus (SR-5M-HT, Narishige). rAAV solutions were unilaterally injected (approximately 250 nl in one site) into the ACC [rostrocaudal (RC): +1.0 mm, mediolateral (ML): 0.3 mm, dorsoventral (DV): 0.8 mm], CLA [RC: +1.0 mm, ML: 2.8 mm, DV: 3.5 mm], IC [RC: +1.0 mm, ML: 3.3 mm, DV: 3.5 mm], and ventrolateral Striatum [RC: +1.0 mm, ML: 2.3 mm, DV: 3.5 mm]. Retrobeads (10% dilution, 300 nl, 1RX, LUMAFLUOR) were unilaterally injected into the ACC or CLA. We used virus-injected mice 3 weeks or more after the last injection of AAV vectors and Retrobeads-injected mice 1‒2 weeks after the injection for further analysis.
Immunohistochemistry
Immunohistochemical experiments were performed according to the methods described in our previous study59. Mice were deeply anesthetized by i.p. injection of medetomidine hydrochloride (0.3 mg/kg), midazolam (4 mg/kg), and butorphanol (5 mg/kg) and perfused transcardially with phosphate-buffered saline (PBS), followed by ice-cold 4% paraformaldehyde (PFA)/PBS. For examination of c-Fos immunoreactivity, we applied mechanical stimulation to the right paw repetitively with 2 g von Frey filament (North Coast Medical) for 15 min to induce licking or biting behavior, then perfused the animal 120 min after the mechanical stimulation as described above. The brains were removed, postfixed in the same fixative overnight at 4 °C, and placed in 30% sucrose solution for two overnight at 4 °C. Transverse brain sections (50 μm thick) were made and immunostained. The primary and secondary antibodies used are listed below.
Primary antibodies: polyclonal rabbit anti-c-Fos (sc-52, 1:500, Santa Cruz), polyclonal chicken anti-NeuN (266 006, 1:1000, Synaptic Systems), and polyclonal rabbit anti-RFP (PM005, 1:500, MBL Life Sciences)
Secondary antibodies: donkey anti-rabbit Alexa Fluor 647 (AB_2492288, 1:500, Jackson ImmunoResearch) and donkey anti-chicken Alexa Fluor 488 (AB_2340375, 1:1000, Jackson ImmunoResearch).
Immunofluorescent images were obtained with a confocal laser microscope (LSM780, Carl Zeiss). For quantification of fluorescent intensity of Chronos-GFP terminals, Retrobead positive cells, or c-Fos positive cells, 3–4 images containing the regions interested were acquired using a 10x objective and analyzed using Fiji (http://fiji.sc).
In vitro slice whole-cell patch-clamp recording
We used the previous methods described in our previous study with some modifications60,61. Mice were deeply anesthetized with medetomidine hydrochloride (0.3 mg/kg), midazolam (4 mg/kg) and butorphanol (5 mg/kg), and the brain was quickly removed and placed into a cold high sucrose artificial cerebrospinal fluid (sucrose aCSF) (250 mM sucrose, 2.5 mM KCl, 2 mM CaCl2, 2 mM MgCl2, 1.2 mM NaH2PO4, 25 mM NaHCO3 and 11 mM glucose). Coronal brain slices (300 μm thick) were cut using a vibrating microtome (NLS-MT, Dosaka), and then the slices kept in oxygenated artificial cerebrospinal fluid (aCSF) solution (125 mM NaCl, 2.5 mM KCl, 2 mM CaCl2, 1 mM MgCl2, 1.25 mM NaH2PO4, 26 mM NaHCO3 and 20 mM glucose) at room temperature (22–25 °C) for at least 30 min.
Individual slices were then put into a recording chamber which was continuously perfused with ACSF solution at room temperature. Patch-clamp recordings were made from single neurons visualized with infrared differential interference contrast optics (BX50WI, Olympus). The patch pipettes (4–7 MΩ) were filled with an internal solution (K-gluconate 135, CaCl2 0.5, MgCl2 2, KCl 5, EGTA 5, 5 Mg-ATP, and HEPES, 0.2% Neurobiotin, pH 7.2 adjusted with KOH). Signals were amplified with MultiClamp 700 A amplifier and pCLAMP 10.4 acquisition software (Molecular Devices, USA) and digitized with an analog-to-digital converter (Digidata 1321 A, Molecular Devices), stored on a computer using a data acquisition program (Clampex version 8.2, Molecular Devices) and analyzed using a software package (Clampfit version10.4, Molecular Devices).
Light stimulation (5 mW/mm2, 10 ms for CLA recording, 20 ms for ACC recording) was applied every 10 s through an optical fiber with a 200 μm tip width placed near the recording site. Light-evoked EPSCs were recorded in the voltage–clamp mode at −70 mV. The membrane potentials were recorded in the current-clamp mode, and the discharge pattern of the recorded neurons was examined by passing hyperpolarizing and depolarizing current pulses through the recording electrode from the resting membrane potential.
Following the completion of whole-cell patch–clamp recording, the slices were fixed overnight in 4% PFA/PBS at 4 °C to reveal the morphological feature of the recorded cells. The slices were rinsed in PBS and were immersed in 30% ethanol for 30 min and then incubated overnight in Streptavidin CF405M (1:500, Biotium) or Streptavidin Alexa555 conjugate (1:500, S21381, Molecular Probes).
Drugs used were TTX (1 μM, FUJIFILM Wako Chemicals), 4-AP (200 μM, Tokyo Chemical Industry), CNQX (10 μM, Tocris Bioscience), varenicline tartrate (100 nM, Tocris Bioscience) and CNO (10 μM, Tocris Bioscience).
Behavioral analysis
We used the previous methods described in our previous study with some modifications59. To assess mechanical hypersensitivity, mice were placed individually in an opaque acrylic box (6 × 6 × 6 cm) on a wire mesh and habituated for ~1 h to allow acclimatization to the experimental environment. Calibrated von Frey filaments (0.02–2.0 g, North Coast Medical) were then applied to the plantar surfaces of the hindpaws of mice from below the mesh floor, and the 50% paw withdrawal threshold was determined using the up–down method52. The von Frey test was carried out before and at 30 or 60 min after injection of CNO (3 mg/kg, Tocris) or varenicline (0.5 mg/kg, Tocris), respectively. In the optogenetic study, light stimulation (5–10 mW, 10 Hz, 10 s) was delivered to the mice attached with optical fiber (Φ1.25 mm black ceramic ferrule, 0.39 NA, L = 3 mm, R-FOC-BL400C-39NA, RWD) through a patch cable, and we applied von Frey stimuli to the mice hindpaws without or during light stimulation.
To analyze the contralateral pain modulation during attending behaviors to the unilateral side, we applied a repetitive 2 g von Frey stimulation to the unilateral hindpaw until the mice exhibited attending behaviors for more than 3 s. The von Frey repetitive stimulation (33.0 ± 4.7 times, ~2 Hz, n = 5) induced “lifting and guarding” (16.5 ± 5.1 s) or “licking and biting” (20.9 ± 4.5 s) to the stimulated paw. After the repetitive stimulation, we applied 1 or 2 g von Frey stimulation to the contralateral paw during either “lifting and guarding”, “licking and biting” or the period when no such behaviors were observed (not attending) to the repetitively stimulated paw (in total 5 times for each). To examine the effects of chemogenetic inhibition of ACC→contralateral CLA neurons, we did the above tests 1 h after varenicline (0.5 mg/kg) or saline injection and 30 min after CNO (3 mg/kg) or saline injection. Formalin (5%, 20 μl, FUJIFILM) was intraplantarly injected, and 20‒30 min after the injection, von Frey tests to the contralateral hindpaw were examined. Varenicline or saline was injected 30 min before formalin injection.
For the capsaicin test and capsaicin-induced mechanical hypersensitivity test, 10 μl of capsaicin (1.6 μg per paw, Nakalai Tesque, dissolved in 10% ethanol and 10% Tween-80; Sigma in PBS) was intraplantarly injected using 30-gage needle 20 min after varenicline (0.5 mg/kg) or saline injection, and the amount of time that the mice spent licking and biting to the injected paw was measured for 5 min. After 30, 60, 90, 120, or 180 min after the capsaicin injection, von Frey filaments were applied to the hindpaw nearby the capsaicin injection site59 and to the contralateral paw.
In vivo awake extracellular recording
Mice were deeply anesthetized with medetomidine hydrochloride (0.3 mg/kg), midazolam (4 mg/kg), and butorphanol (5 mg/kg), and the head of the mice was fixed in a stereotaxic apparatus (SR-5M-HT, Narishige). For unit recording and optical stimulation, small cranial holes (Φ of ~1 mm) were made over the ACC (AP: 0.5–1.5, ML: 0–1.0) and the CLA (AP: 0.5–1.5, ML: 2.5–3.0) and covered until the day of recording. The head plate (Narishige, CP-2) was affixed to the skull with dental cement (UNIFAST II, GC). After surgery, mice were singly housed and fixed to the experimental apparatus (MAG-1 and SR-5M-HT) and habituated to the head-fixed condition for ~1 h per day at least 5 times before recording.
On the day of recording, under anesthesia with isoflurane (1.5–2%), EMG recording wires were sutured to the upper forelimbs, the mouse head was fixed to the stereotaxic apparatus, and a reference wire electrode was placed near the cranial hole over the ACC. For photostimulation of the CLA, an optical fiber (Φ of 200 μm, Thorlabs) was inserted just above the right claustrum (AP: 1.0, ML: 2.8, DV: 3.2). After recovery of anesthesia for ~20 min, a tungsten recording microelectrode (10 MΩ, FHC) was inserted into the left (for antidromic recording) or right (for contralateral recoding) ACC (AP: 0.6–1.2, ML: 0.4, DV: 0.4–1.0) with a micromanipulator (SMM-100, Narishige) and allowed to settle for ~10 min before recording. After obtaining a recording, the electrode was lowered ~20–50 μm until we succeeded in recording from the next neurons.
Multi-unit activity and LFP were amplified and filtered (multi-units: 300 Hz–3 kHz, LFP: 0.1–50 Hz) with a differential extracellular amplifier (EX1, Dagan). EMG was amplified and filtered (100–300 Hz) with an EMG amplifier (EBA-100, UNIQUE MEDICAL). These signals were digitized with an analog-to-digital converter (Digidata 1440, Molecular Devices) and stored on a personal computer at 20 kHz (for EMG and unit recording) or 100 kHz (for MUA, EEG, and EMG) using pCLAMP 8 software (Molecular Devices).
Spikes were sorted based on principal components analysis with offline sorter software (Plexon), and each spike width was calculated by the trough-to-peak interval of the mean spike waveform. We defined units with spike widths of >0.45 ms and <0.35 ms as putative pyramidal neurons and interneurons, respectively62. EMG and LFP signals were analyzed with LabChart8 software (AD Instruments).
ACC→contraCLA neurons were identified if they exhibited moderate firing rate (less than 20 Hz) and elicited antidromic APs following a train of light stimulation (473 nm, 0.8–1.5 mW/mm2, 3 ms, 10 pulses, 20 Hz) with constant latency (9.41 ± 0.36 ms, n = 33) and short jitter (0.183 ± 0.010 ms, n = 33)27,28,63. Mechanical stimuli were applied to the ipsi- and contralateral whisker pad for ~0.5 s with von Frey filaments (0.16 g or 0.6 g). Whisker stroking was applied using closed forceps (~0.5 s duration). The time stamps for indication of the stimulus timing were acquired using a custom-made manual TTL pulse generator. The averaged firing rates of mechanical responses were obtained for 2 s after the stimulation and compared to that for 2 s before stimulation. For the capsaicin application, 10 μl of capsaicin (1.6 μg, dissolved in 10% ethanol and 10% Tween-80, Sigma in PBS) or vehicle was intradermally injected to the cheek of mice using a 30-gage needle. To mark the electrode track, we stained the electrode with DiI solution (Vybrant™ DiI Cell-Labeling Solution, V22885, Thermo Fisher) before recordings in a part of the experiments.
To examine the effects of activation of ACC→contraCLA neurons on the contralateral ACC neuronal activities, the unit activity and LFP were recorded from the contralateral ACC, and blue light pulses (3–5 mW/mm2, 20 ms, 4–40 times, 2–20 Hz, 2 s (for LFP analysis), or 100 times, 10 Hz, 10 s (for sensory response modulation analysis)) were delivered through the optical fiber placed above the contralateral CLA to stimulate axon terminals of ACC→contraCLA neurons. In the experiments for optical inhibition of CLA→iptiACC neurons, a continuous red light pulse (5 mW, 5 s) was delivered from 2 s before the start of the blue light stimulation (4 to 40 times, 2–20 Hz).
Fiber photometry experiment
Mice were deeply anesthetized with medetomidine hydrochloride (0.3 mg/kg), midazolam (4 mg/kg), and butorphanol (5 mg/kg), and the head of the mice was fixed in a stereotaxic apparatus (SR-5M-HT, Narishige). Small cranial holes (Φ of ~1 mm) were made over the ACC (AP: 0.5–1.5, ML: 0–1.0), and mice were implanted with a 400 μm core optical fiber (Φ1.25 mm black ceramic ferrule, 0.39 NA, L = 1 mm, R-FOC-BL400C-39NA, RWD) in the ACC. Fibers and head plates (Narishige, CP-2) were fixed with dental cement (UNIFAST II, GC). Animals were allowed to recover for ~7 days.
Fluorescent recordings were made using a Doric Lenses photometry system (iFMC4-G2_IE(400-410)_E1(460-490)_F1(500-550)_S). GCaMP6s were excited by a 465 nm light-emitting diode (LED, CLED_465, Doric Lenses) light continuously driven by an LED driver (LEDD_2, Doric Lenses), and the emission fluorescence signals passed from the brain were detected by the system, and recorded and digitized with an analog-to-digital converter (Digidata 1550B, Molecular Devices). The time stamps for indication of the stimulus timing were acquired using a custom-made manual TTL pulse generator. The fluorescent responses during repetitive stimulation to each hindpaw were obtained by averaging fluorescent intensity for 20 s during the stimulation and compared to that for 5 s before the stimulation.
Statistics and reproducibility
Statistical analyses were performed using Prism 9 (GraphPad). All data are shown as the mean ± standard error of the mean (SEM). In the figure legends, we provide details on the sample numbers, statistical tests used, and the results of all statistical analyses for each experiment and all statistical comparisons. Statistical significance of differences was determined using one-way ANOVA with Tukey’s multiple comparisons test, one-way ANOVA with Dunnett’s multiple comparisons test, one-way ANOVA with Bonferroni’s multiple comparisons test, one-way repeated measures ANOVA with Dunnett’s multiple comparisons test, one-way repeated measures ANOVA with Tukey’s multiple comparisons test, two-way repeated measures ANOVA with Bonferroni’s multiple comparisons test, two-tailed paired t-test, or two-tailed unpaired t-test. Differences were considered significant at p < 0.05. Statistical details for the experiments (including exact n values, statistical tests used, p and F values) are summarized in the figure legends or Supplementary Data.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Data availability
All the original data that support the findings of this study are available from the corresponding author upon request. Numerical source data underlying graphs in the paper can be found in the Supplementary Data file.
Code availability
No code was used for the study, and software information was provided in the Method section.
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Acknowledgements
We thank the joint-use research facilities and the Center for Comparative Medicine of Hyogo Medical University for the use of facilities and appreciate the technical support from Dr. Yasuhiro Tanaka (Tamagawa University, Japan). This work was supported by the following grants. JSPS KAKENHI Grant JP20H04043 and JP23K18441 (H.F.), JSPS KAKENHI Grant JP20K16133 and JP22K15206 (K. Koga), Hyogo Innovative Challenge grant (H.F.), Hyogo College of Medicine Grant for Research Promotion 2021 and 2023 (K. Koga), AMED under Grant Number JP23gm1510013 (H.F.), MEXT Promotion of Distinctive Joint Research Center Program Grant Number JPMXP0723833162 (K. Koga), JSPS KAKENHI Grant Number JP 22H04922 (AdAMS), Takeda Science Foundation (K. Koga), the 45th Nakatomi Science Foundation (K. Koga), the Uehara Memorial Foundation (K. Koga), and the Naito Foundation (K. Koga).
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K. Koga conceived this project, designed experiments, performed almost all experiments, analyzed the data, and wrote the paper. K. Kobayashi and M.T. provided critical materials and advised on experimental procedures. A.E.P. provided critical advice on data interpretation and experimental design and wrote the paper. H.F. conceived this project, supervised the overall project, designed experiments, and wrote the paper.
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Koga, K., Kobayashi, K., Tsuda, M. et al. Anterior cingulate cross-hemispheric inhibition via the claustrum resolves painful sensory conflict. Commun Biol 7, 330 (2024). https://doi.org/10.1038/s42003-024-06008-9
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DOI: https://doi.org/10.1038/s42003-024-06008-9
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