Abstract
Juvenile social isolation reduces sociability in adulthood, but the neural circuit mechanisms are poorly understood. We found that, in male mice, 2 weeks of social isolation immediately following weaning leads to a failure to activate medial prefrontal cortex (mPFC) neurons projecting to the posterior paraventricular thalamus (pPVT) during social exposure in adulthood. Chemogenetic or optogenetic suppression of mPFC->pPVT activity in adulthood was sufficient to induce sociability deficits without affecting anxiety-related behaviors or preference toward rewarding food. Juvenile isolation led to both reduced excitability of mPFC->pPVT neurons and increased inhibitory input drive from low-threshold spiking somatostatin interneurons in adulthood, suggesting a circuit mechanism underlying sociability deficits. Chemogenetic or optogenetic stimulation of mPFC->pPVT neurons in adulthood could rescue the sociability deficits caused by juvenile isolation. Our study identifies a pair of specific mPFC excitatory and inhibitory neuron populations required for sociability that are profoundly affected by juvenile social experience.
Introduction
Loneliness is becoming increasingly recognized as a serious threat to mental health 1–3. Social isolation during childhood in particular is detrimental to adult brain function and behavior across mammalian species 4–7. Children removed from a socially-deprived institutional care environment by being placed into foster care at a young age show improved functional outcomes compared with those who were never placed into foster care, or those placed into foster care at a later age 6,7. In mice, juvenile social isolation (jSI) immediately following weaning for two weeks (21–35 days after birth: p21–35), but not during a later period, leads to decreased sociability in adulthood, suggesting the juvenile period is a sensitive period for the establishment of adult social behavior 5.
A number of studies in both humans and rodents broadly implicate the medial prefrontal cortex (mPFC) as a key part of the brain networks that regulates social behavior 8. A recent study in mice demonstrated that subcortically projecting deep-layer mPFC neurons are particularly vulnerable to jSI and that jSI reduces their excitability and synaptic drive in adulthood 9. However, the subcortical targets of deep-layer mPFC projections that are vulnerable to jSI are unknown. Here, we sought to identify the specific mPFC circuitry that requires juvenile social experience to support normal sociability in adulthood.
Results
Juvenile social isolation impairs activation of mPFC->pPVT projection neurons upon social exposure in adulthood
To gain insight into which subcortical regions receiving projections from the mPFC are important for social behavior, we first performed immediate early gene c-Fos expression mapping. We showed that both the posterior part of the paraventricular nucleus of thalamus (pPVT), which relays signals to various components of the classical reward circuitry10, and mPFC deep-layer neurons projecting to the pPVT were activated by exposure to a novel mouse compared with novel-object exposure (Extended Data Fig.1).
We next used fiber photometry to examine the effect of jSI on real-time activity of mPFC->pPVT projection neurons during social exploration in adult male mice (Fig.1A–D). Adult jSI mice displayed reduced sociability, compared to adult mice that were group-housed (GH) throughout their life, in the 3-chamber test as previously reported5,11 (Extended Data Fig.2). mPFC->pPVT neurons expressing the calcium indicator GCaMP6f were more robustly activated after introduction of a novel mouse than after introduction of a novel object in adult GH mice, but not in jSI mice (Fig.1E–G), demonstrating that juvenile social experience is necessary for mPFC->pPVT neurons to be fully recruited during social exploration in adulthood.
Manipulations of mPFC-> pPVT projection neuron activity bi-directionally modulate sociability in adult group-housed mice
To examine the extent to which activity of mPFC->PVT projection neurons is necessary for sociability, we chemogenetically suppressed the activity of mPFC->PVT neurons expressing inhibitory (i) DREADD (Fig.2A–D). Suppression of mPFC->pPVT neuron activity through clozapine N-oxide (CNO) treatment in adult GH mice reduced sociability in the 3-chamber test, with no impact on motor activity or measurements of anxiety-related behavior (Fig.2E). CNO injection in mCherry-expressing control mice produced no significant differences in behavior compared to saline injection (Fig.2F). Chemogenetic suppression of pPVT neuron activity also reduced sociability (Extended Data Fig.3).
To rule out the possibility that our observed results were due to inhibition of collateral projections to other brain areas, we optogenetically suppressed the activity of mPFC projection terminals in the pPVT. mPFC->pPVT projection terminals virally expressing the inhibitory opsin eNpHR3.0 under the CaMKII promotor were wirelessly illuminated by a yellow LED light over the pPVT during behavior testing (Fig. 3A,B, Extended Data Fig.4A- E). This manipulation, which partly reduced the activity of neurons in the pPVT (Extended Data Fig.4A–C), led to reduced sociability (Fig. 3C) without impacting anxiety-related or motor behaviors (Extended Data Fig.4F). There were no light-induced behavioral effects in mCherry-expressing control mice (Fig. 3D, Extended Data Fig.4G). Importantly, this manipulation did not impact natural food preference (Fig.3E,F), suggesting that the observed sociability deficits are not a result of general impairments in natural reward-related behaviors. Collectively, these results demonstrate a causal link between mPFC->pPVT projection activity and social behavior.
To examine whether mPFC->pPVT projection activity is sufficient to increase sociability in adult GH mice, we optogenetically activated mPFC->pPVT projections virally expressing channelrhodopsin (ChR2) under the CaMKII promotor by wirelessly illuminating a blue LED implanted over the pPVT while mice performed the 3-chamber test (Fig.4A–F). We found that optogenetic activation of mPFC->pPVT projections within the social-interaction zone led to an increase in sociability, whereas activation of mPFC->pPVT projections within the object-interaction zone reduced sociability (Fig.4E–H). Furthermore, optogenetic activation of mPFC->pPVT projections in one of two empty corral interaction zones was sufficient to increase time spent in that zone. This effect quickly disappeared after termination of light stimulation (Fig.4I–K). Altogether, these experiments demonstrate that activation of mPFC->pPVT projections is reinforcing, and is sufficient to increase sociability during social investigation.
jSI leads to reduced intrinsic excitability and increased inhibitory input drive of mPFC->pPVT neurons in adulthood
We next sought to determine the cellular and circuit-level mechanisms that underlie the failure to fully activate mPFC->pPVT neurons upon social exposure caused by jSI. Patch-clamp slice recordings of mPFC->PVT neurons from adult jSI mice revealed a reduction of intrinsic excitability (Fig.5A–D) and a significant increase in spontaneous inhibitory post synaptic currents (sIPSCs) compared with adult GH mice. In addition, there was a trend towards a decrease in spontaneous excitatory post synaptic currents (sEPSCs) in adult jSI mice compared with adult GH mice. Together, these changes contributed to a significant decrease in the ratio of sEPSC/sIPSC frequency (E/I ratio, an indicator of overall ‘drive’) in mPFC->PVT neurons from adult jSI mice compared with adult GH mice(Fig.5E–G). Of note, we did not detect any effect of jSI at the end of isolation on p35; rather, the effects of jSI only emerged in adulthood (Fig.5). In contrast, other mPFC neurons projecting to nucleus accumbens or contralateral mPFC showed no deficits in excitability or synaptic drive in jSI mice (Extended Data Fig.5A–L, Extended Data Fig.6D–I), suggesting that mPFC->pPVT neurons and the associated inhibitory circuits are particularly vulnerable to jSI.
To examine the downstream synaptic targets of mPFC->pPVT projection neurons, we next performed whole-cell patch clamp recordings from pPVT neurons combined with optogenetic activation of ChR2-expressing mPFC->pPVT neurons (Extended Data Fig.7A). The majority of patched pPVT neurons showed evoked responses (73.3%: 22/30cells for GH, 68.8%: 22/32cells for jSI). While both groups showed comparable levels of monosynaptic excitatory connectivity (Extended Data Fig.7B,C), jSI mice showed smaller normalized amplitude of evoked EPSCs compared to GH mice (Extended Data Fig.7D), with no differences in paired pulse ratio (PPR) (Extended Data Fig.7E). These findings suggest that jSI causes a lasting reduction in evoked excitatory synaptic transmission onto pPVT neurons. In contrast to mPFC->pPVT neurons, pPVT neurons themselves showed little vulnerability to jSI (Extended Data Fig.5M–R).
jSI leads to increased intrinsic excitability of mPFC LTS-SST interneurons and impaired LTS-SST to mPFC->pPVT synaptic transmission in adulthood
We next aimed to identify the population of neurons responsible for the increased inhibitory drive onto mPFC->pPVT neurons induced by jSI. As miniature IPSCs of mPFC->pPVT neurons were not impacted by jSI (Extended Data Fig.6A–C), the increased inhibitory drive is likely driven by an action potential-dependent increase in inhibitory neuron activity. We thus screened sub-types of mPFC interneurons expressing somatostatin (SST)12 and parvalbumin11, and found that a subclass of deep-layer SST-expressing low-threshold spiking (LTS) interneurons showed increased excitability in adult jSI mice compared with GH mice (Extended Data Fig. 8). To selectively manipulate LTS-SST interneurons, we used Chrna2-Cre mice13 in which 90.61+/−4.210% (n=6 mice) of mPFC Chrna2-Cre+cells show SST immunoreactivity (Fig.6A). Whole-cell patch-clamp recordings from mPFC Chrna2+LTS-SST interneurons showed an increase in intrinsic excitability in adult Chrna2-Cre driver mice that had undergone jSI vs GH mice (Fig.6B,C).
Next, we directly examined the synaptic inputs from mPFC LTS-SST interneurons to mPFC->pPVT neurons by performing whole-cell patch-clamp recordings from retrobead-labeled mPFC->pPVT projection neurons combined with optogenetic activation of ChR2-expressing mPFC LTS-SST interneurons (Fig.6D). Results indicated that all patched mPFC->pPVT neurons receive robust monosynaptic input from LTS-SST interneurons (Fig.6D). The amplitude of optically-evoked responses, normalized to the amplitude of the response evoked by the lowest light intensity level for each cell, was comparable between jSI and GH groups, but the paired pulse ratio (PPR) was reduced in jSI mice compared to GH mice (Fig.6E,F), suggesting changes in presynaptic mechanisms of inhibitory neurotransmitter release caused by jSI. Importantly, Chrna2+LTS-SST interneurons were previously shown to selectively target deep-layer pyramidal neurons that typically project to sub-cortical targets but not to callosal projection neurons or intratelencephalic neurons13; consistent with this finding, we observed no change in inhibitory drive in mPFC neurons projecting to the contralateral PFC (mPFC->cPFC) or nucleus accumbens (mPFC->NAc) located in the upper layer in jSI mice vs GH mice (Extended data Fig. 5).
Consistent with these results, excitatory (e)DREADD-mediated activation of mPFC LTS-SST interneurons in GH mice (which recapitulates the physiological deficit seen in jSI mice) was sufficient to reduce sociability without impacting motor activity or anxiety-related behavior (Fig.6G–J). Collectively, these experiments demonstrate that jSI leads to enduring neurophysiological deficits in mPFC->pPVT neurons and in LTS-SST interneurons, which are likely to be the cause of the sociability deficit and reduced activation of mPFC->pPVT neurons during social exploration in jSI mice.
Activation of mPFC->pPVT neurons rescues sociability deficits in adult jSI mice
We next sought to determine whether acute restoration of mPFC->pPVT neuron activity is sufficient to ameliorate sociability deficits in adult jSI mice. We found that chemogenetic activation of mPFC->pPVT projection neurons expressing eDREADD through CNO treatment could acutely rescue sociability deficits in the adult jSI mice without impacting motor activity or anxiety-related behavior (Fig.7A–E). CNO injection in mCherry-expressing control jSI mice produced no CNO-dependent behavioral effect (Fig.7F).
Next, to selectively examine the contribution of mPFC->pPVT projection terminals in pPVT, we optogenetically activated mPFC projection terminals in the pPVT which virally express ChR2 by wirelessly illuminating a blue LED over the pPVT during behavior testing (Fig.8A,B, Extended Data Fig.9A–C). We found that this stimulation treatment acutely rescued sociability deficits in jSI mice (Fig.8C), without impacting anxiety-related or motor behaviors (Extended Data Fig.9D). mCherry-expressing control jSI mice did not show any light-induced behavioral effects (Fig.8D, Extended Data Fig.9E).
Finally, to examine if repeated optogenetic activation of mPFC->pPVT terminals can lead to a sustained rescue of sociability deficits, jSI mice participated in two sessions where optogenetic stimulation was triggered whenever the subject investigated the mouse in the 3-chamber test setting, and then underwent sociability testing on the next day without optogenetic stimulation. We found that this intervention leads to a rescue effect that is sustained 24 hours after the final day of optogenetic stimulation (Fig.8E,F, Extended Data Fig.9F,G).
Discussion
Overall, our study identifies a pair of mPFC excitatory and inhibitory neuron populations required for normal adult sociability which are affected by social experience during juvenile period (Fig.8G). The finding that these deficits are not observed immediately after the isolation period but only emerge in adulthood suggests that the deficits may be caused by a mismatch between the jSI mouse’s adult social environment and adaptations resulting from experience during development. The juvenile period may be a sensitive window for behavioral plasticity, and once closed, mice may not be able to adjust their social strategy. Given that the PVT projects to various reward-associated areas including the NAc, bed nucleus of the stria terminalis, and central amygdala through collateralized projections 10,14, mPFC->pPVT neurons are well-positioned to provide top-down control of brain networks. Our study sheds light on a previously unrecognized role of mPFC->PVT projections in naturalistic (unconditioned) social processing in addition to their known function in Pavlovian conditioning and extinction 15–18. Among diverse sub-types of SST interneurons 12, LTS-SST cells are also well-positioned to both initiate and maintain prolonged synchronous firing of sub-cortically projecting deep-layer pyramidal cells through slow rhythmic burst activity and rebound excitation 13. Thus, LTS-SST cells may play a pivotal role in social behavior by rhythmically activating mPFC->pPVT neurons and facilitating mPFC–pPVT synchrony. Aberrant mPFC EEG power in jSI mice during social exploration reported in a previous study19 may in turn reflect disrupted communication between the mPFC and PVT.
Our study adds another circuit element to the complexity of social-processing networks in the mPFC, but is consistent with recent studies demonstrating diverse activation patterns of mPFC neurons during social behavior in mice20–23. In contrast to other mPFC projections that have been reported to reduce sociability upon activation, such as the projections to the lateral habenula (located in close proximity to the PVT) 24–27, activation of mPFC->PVT projection promotes sociability in a fashion that is similar to cerebellum–ventral tegmental area projections28. Future studies are warranted to reveal how different populations of mPFC projection neurons influence subcortical networks that control social behavior and are impacted by prior social experience.
Previous genetic and transcriptomic studies show that many risk genes for autism and schizophrenia are highly expressed in fetal and infant L5/6 PFC projection neurons 29,30. Mechanistic studies in rodents further showed that functioning of sub-cortically projecting L5/6 mPFC neurons is disrupted in mouse models with risk gene disruptions26. Future pre-clinical studies will reveal the extent to which disease risk genes impact maturation of the identified circuits. As mPFC->pPVT neurons and associated LTS-SST interneurons are sensitive to experience-dependent modulation, they are promising targets for treatments of social behavior deficits associated with psychiatric disorders that use non-invasive brain modulation techniques such as transcranial magnetic stimulation and/or transcranial direct current stimulation.
Methods
Animals
Male C57Bl/6 wildtype mice, Chrna2-Cre mice (Tg(Chrna2-cre)1Kldr), PV-Cre mice (stock number 017320, Jackson Laboratory), and SST-Cre mice (stock number 013044, Jackson Laboratory) crossed with Cre-dependent eGFP-L10a mice (Ribo-GFP #024750, Jackson Laboratory) were used. Animals were group housed in standard laboratory cages in a temperature (72 degrees Fahrenheit)- and humidity (30–70%)-controlled vivarium with a 12:12 light/dark cycle. Food and water were provided ad libitum throughout the experiment. Viral injections were performed when mice were 6–7 weeks old for behavioral experiments, and were performed when mice were 9–10 weeks old for electrophysiological experiments. Behavior experiments took place when mice were 10–15 weeks old. For juvenile social isolation (jSI), wild type C57Bl6 mice (Charles River Laboratories, shipped at p14 for experiments comparing jSI vs GH) and Chrna2-Cre mice (behavioral and electrophysiological experiments) were isolated from weaning (p21) for two weeks. Mice were re-grouped with age- sex- and strain- matched males at p35 (3–5 mice per cage), co-housed for more than 1 month and then behaviorally tested in adulthood when mice were 10–15 weeks old. . Procedures were performed in accordance with the National Institutes of Health Guide for Care and approved by the Use of Laboratory Animals and the Icahn School of Medicine at Mount Sinai Institutional Animal Care and Use Committee.
Stereotaxic surgery
Mice were anesthetized with isoflurane and head-fixed in a mouse stereotaxic apparatus (Narishige). For chemogenetic and optogenetic studies, bilateral viral injections were made at 6–7 weeks old in the following stereotaxic coordinates (Paxinos and Franklin’s the Mouse Brain) of the mPFC: (1) AP +2.3 mm, ML ± 0.4 mm, and DV – 1.3 mm and – 1.0 mm; (2) AP +1.7 mm, ML ± 0.4 mm, and DV – 1.7mm and – 1.3 mm; (3) AP +1.3, ML ± 0.4 mm, and DV – 1.3 mm and – 1.0 mm. Midline injections were made at a single location for pPVT: AP – 1.8 mm, ML 0 mm, DV – 2.8 mm. Bilateral injections were made at 1 location per hemisphere for Nac: AP + 1.45mm, ML ± 0.8 mm, DV – 4.5mm. Unilateral injections were made at 6 locations per hemisphere for cPFC: (1) AP +2.3 mm, ML ± 0.4 mm, and DV – 1.3 mm and – 1.0 mm; (2) AP +1.7 mm, ML ± 0.4 mm, and DV – 1.7mm and – 1.3 mm; (3) AP +1.3 mm, ML ± 0.4 mm, and DV – 1.3 mm and − 1.0 mm. Each injection contained 400 nl of AAV1-EF1-dflox-hChR2-mCherry-WPRE-hGH (DIO-hChR2-mCherry) (Addgene), AAV1-CamKIIa-hChR2-mCherry (CamKII-hChR2-mCherry) (Addgene), AAV1-CaMKIIa-eNpHR 3.0-EYFP (halorhodopsin 3.0) (Addgene), AAV8-hSyn-DIO-hM4Di-mCherry (iDREADD) (Addgene), AAV8-hSyn-DIO-hM3Dq-mCherry (eDREADD) (Addgne), AAV8-hSyn-DIO-mCherry (mCherry-Cre) (Addgene), AAV8-CamKII-GFP-Cre (CamKII-Cre) (Addgene), CAV-Cre (CAV-Cre) (Montpellier) and/or rAAV2-CAG-Cre-WPRE (Boston Children’s Hospital). All viruses were infused at a rate of 60 nl/min using a microinjector and glass pipette. For fiber photometry surgeries, a unilateral injection was made at AP +1.7, ML −0.4 mm, and DV − 1.7 mm with 500 nl of AAV1-Syn-FLEX-GCaMP6f-WPRE-SV40 (Flex-GCaMP6f) (Addgene). A 1.6 mm in length fiber optic cannula with a 0.48 numerical aperture and a 400 μm core diameter (Doric Lenses) was implanted over the injection site (AP +1.7, ML − 0.4 mm, and DV − 1.3 mm) using metabond and dental cement. For wireless optogenetic surgeries, a 1 mm diameter hole was drilled at a single location for implantation over the pPVT, and a 2.6 mm length and 500 um diameter LED optic fiber (Amuza) was then implanted above the pPVT at AP – 1.8 mm, ML ± 0 mm, DV − 2.8mm using metabond and dental cement. For retrobeads injection surgery, injections were performed by using the same surgical injection system as with the viral transduction surgery mentioned above. A 400 nl volume of red or green retrobeads (Lumafluor, Nashville, TN, USA) was injected with an injection rate of 60 nl/min using a microinjector and glass pipette.
Immunohistochemistry
Mice were anesthetized with isofluorane and transcardially perfused with cold 0.1M phosphate buffer, followed by 4% paraformaldehyde (PFA) dissolved in 0.1M PB. Brains were post-fixed for 3 hours in 4% PFA at 4˚C and cryoprotected in 30% sucrose. Frozen brains were sliced into 30 μM sections using a cryostat (CM3050, Leica). Free-floating sections from the whole brain were washed 3x in tris-buffered saline (TBS) and then blocked in 1% bovine serum albumin (BSA) in tritonated TBS (0.25% Triton X-100 in TBS) for 1h. The sections were incubated overnight at room temperature in primary antibody (rabbit anti-cFos antibody (Synaptic Systems, #226003, 1:5000), or rabbit anti-SST antibody (Peninsula Laboratories; #T-4103.0050, 1:1000). Slices were then washed in 1% BSA in tritonated BST, followed by incubation with appropriate secondary antibodies (Alex 568 goat anti-rabbit IgG (H+L) (Life Technologies: #A-11036; 1:500), or Alexa 647 goat anti-rabbit IgG (H+L) (Life Technologies: #A-21245, 1:500). Sections were then mounted with DAPI Fluoromount-G (Southern Biotech).
Imaging and Quantification
Imaging was performed using LSM780 confocal microscopes (Zeiss) and processed and analyzed using ImageJ32 software v. 1.51j8 (NIH). For viral expression analysis and cFos quantifications, images were background subtracted and then thresholded using the Max Entropy function. Averages were collected from 3– 5 brain slices per mouse. Co-localization analysis to determine number of retrobead-positive and DAPI positive cells co-expressing c-Fos was performed using the “analyze particles” function in each channel, followed by counting the intersection of the particles for each region of interest. For wireless optogenetics validation, accuracy of cannula placement was confirmed in all mice. For photometry validation, we confirmed prior to behavior testing that GCaMP6 signal levels in all animals are higher than the signal change in the autofluorescence channel). After behavior testing we confirmed that optic fiber placement was accurate. For the viral spread validation of mice used for chemogenetic and optogenetic behavioral experiments, mice that had completed behavior testing underwent transcardial perfusion, and slices were collected at specific Bregma areas (from +0.98mm to +2.46mm for mPFC, from −1.34mm to 2.06mm for PVT) to analyze the anterior-posterior spread of virally infected cells. Images were acquired using the EVOS FL Imaging System (Thermo Fisher Scientific). Slices were imaged using a 4x lens and, to ensure consistency across imaging sessions, power was set at 100%. To generate viral spread diagrams, all groups were assigned two levels representing increasing levels of signal intensity. The first level represented the minimum number of mice showing signal in a given area, namely n=1. The second level represented more than 50th percentile of mice with overlapping signal in a given area. Using the GNU Image Manipulation Program (GIMP), areas with fluorescent signal were delineated on templates taken from the Paxinos and Franklin mouse atlas. If their viral expression could not be validated or when there was equipment failure during behavior, mice were excluded from the analysis.
Fiber photometry
Imaging:
Experiments were done at least three weeks after viral injection to allow for sufficient viral expression. During recording sessions, two excitation LEDs (Thor Labs) reflected off dichroic mirrors to record GCaMP6f specific signal (465nm) and non-specific autofluorescence-related signals as a control (405 nm). A fiber optic patch cord (Doric Lenses, MFP_400/430/0.48_1.3) was attached to the implanted fiber optic cannula with cubic zirconia sheathes. The fiber optic cable was coupled to two LEDs, which pass light through a GFP (465nm) or violet (405 nm) excitation filter (Thor labs) and dichroic mirrors. Emitted light passed through the fiber optic cable is passed through the dichroic mirror and emission filters, and through a 0.50 N.A. microscope lens (62–561, Edmund Optics) and then focused and projected onto a photodetector (Model 2151 Femtowatt Photoreceiver). A real-time signal processor (RX8 and RZ5P, Tucker-Davis Technologies) and software (OpenEx version 2.20 for RX8 and Synapse version 90 for RZ5P, Tucker-Davis Technologies) was used to sinusoidally modulate each LED’s output at different frequencies to un-mix signals from each LED. Signals were collected at a sampling frequency of 381 Hz (RX8) or 1018Hz (RZ5P).
Behavior:
Prior to behavior testing, mice were habituated to the fiber optic cable for 30 minutes each day for three days. For analysis of activity during social exploration and object exploration, a five-minute baseline was recorded for each mouse in a novel open field arena (43 cm x 43 cm x 33 cm) before each exploration testing. Following baseline, we placed a novel object or a novel age- sex- and strain- matched mouse in the arena (counterbalanced between object and social) for 5 minutes.
Analysis:
Analysis was performed using previously custom scripts previously used11 with python v.2.7 (Python Software Foundation). Each channel was first normalized by subtracting the median voltage for the entire recording period for both the signal (465 nm) and the noise (405 nm) channels. The 405 channel was then normalized using a Savitzky-Golay filter to remove high frequency changes in the 405 channel, and then subtracted from the 465 channel. This served to mitigate movement-related signals and fluorescence bleaching. The signal channel was then Z-scored using the five-minute baseline period directly before introducing the mouse or an object. To compare social vs. object mPFC->pPVT projection neuronal activity, we compared mean Z-score during baseline periods (30 sec before introducing a stimulus) compared with the 30 sec after introducing either the mouse or object.
Behavior Testing
For behavior testing with iDREADD and eDREADD manipulations, Clozapine-N-oxide dihydrochloride (CNO; Tocris Bioscience) was fully dissolved in saline and injected intraperitoneally (i.p.) at a 10 mg/kg (iDREADD experiments) or 1mg/kg (eDREADD experiments) dose 30 min before behavior testing. Mice received CNO and saline (SAL) in a counterbalanced fashion with 1 week of wash out time between treatments. Mice were excluded from behavior tests if they demonstrated significant alterations in motor responses due to i.p. procedures.
For behavior testing with wireless optogenetic modulation, prior to behavior testing, mice were habituated to either the 3-chamber or the open field for one 20 minutes habituation phase while wearing a dummy version of the receiver (Amuza, Teleopto wireless optogenetics system). For the continuous stimulation/inhibition experiments during 3 camber tests, elevated plus maze, and open field tests, 20 Hz, 5% duty cycle of 470nm blue light or continuous 590nm yellow light stimulation was triggered using a signal generator (Rigol Technologies) during the entire “ON” testing session. All experiments were counterbalanced with respect to whether mice received optogenetic stimulation/inhibition on the first day of testing or second day of testing and there was a 24-hour interval between ON and OFF sessions. In some optogenetic activation experiments (Fig. 4E–K and Fig. 8E), light delivery was triggered only when mice enter one of zones during 3-chamber tests.
3-chamber test:
Testing was conducted in the sociability cage (Noldus): a 3-chambered rectangle with clear acrylic walls and a white matte bottom. Mice were habituated to the center chamber for 10 mins, followed by a 10 min habituation to the full chamber one day prior to testing. On the day of testing, mice were placed in the center chamber for 5 min, followed by 5 min exploration of the full chamber with empty wire corrals. To test sociability, an age-, sex-, and strain- matched mouse was placed under a wire corral in the ‘social chamber’ and a novel object was placed under the corral in the ‘object chamber’. The subject mouse was allowed to freely investigate for a 10 min test phase. Behavior was recorded and scored by Ethovision v. 9, 14 (Noldus). ‘Social interaction time’ or ‘Object interaction time’ was defined as the cumulative amount of time that the mouse’s nose-point (detected by Ethovision) was detected in the interaction zone, which is a circular zone surrounding the corral containing the mouse or object. For the experiment where mPFC->pPVT neurons were repeatedly stimulated to induce a long-lasting rescue of JSI social deficits, mice explored the 3-chamber arena with either mouse or novel object corral for 20 mins on baseline day (Day1) followed by Day2 and Day 3 when mice explored either the same mouse or object in chambers for 30 mins while receiving light stimulation when their nose entered the social interaction zone surrounding a corral with a mouse. On Day 4 (probe test day), mice explored the arenas with the same mouse or object in the absence of optogenetic stimulation for 20 mins. For the real-time preference 3-chamber test using optogenetics, Mice explored the 3-chamber apparatus with two identical empty corrals without light stimulation (10 min), continued to explore while receiving light stimulation when their nose entered the interaction zone surrounding one of the two corrals (10 min), and then continued to explore further without light stimulation (10 mins). During the stimulation session, optogenetic stimulation was delivered whenever the mouse visited the stimulation zone surrounding a wire corral and was terminated immediately if the mouse exited the stimulation zone. Stimulation zone was counterbalanced.
Milkshake 3-chamber test:
Testing was conducted in a custom-designed 3-chambered apparatus (61 cm x 40.5 cm x 23.5 cm) with white matte walls and floor. A small cylindrical aluminum basin (approximately 5 cm in diameter and 1.5 cm in height) filled with milkshake was placed in one of the side chambers and an identical empty basin was placed in the opposite chamber. To test for milkshake preference, mice were allowed to freely investigate the apparatus with the option to consume milkshake for 10 minutes. Milkshake consisted of 15% chocolate syrup (The Hershey Company), 15% sweetened condensed milk (Eagle Family Foods Group), and 70% water (by volume). Behavior was recorded and scored via Ethovision v. 14 (Noldus) or ANY-Maze v. 6.06 (Stoelting Co.), with ‘milkshake interaction time’ or ‘empty basin interaction time’ defined as the cumulative amount of time where the mouse’s nose-point was present within an interaction zone circumscribed about each stimulus (approximately 10 cm in diameter). Prior to testing, mice were habituated in the center chamber for 5 minutes and then were allowed to explore the entire apparatus (without stimuli present) for 5 minutes. Additionally, mice were habituated to the milkshake reward and the testing apparatus by completing a ‘dry run’ of the testing procedure (including both habituation and milkshake preference test phases) on the day prior to the first day of testing. On this day, mice were also given access to a milkshake-filled basin and an empty basin in their homecage for roughly 4 hours.
Elevated plus maze:
The elevated plus maze is a behavioral assay that is frequently used to measure anxiety-related and exploratory behavior by comparing time spent in enclosed arms compared with open arms in a plus-shaped maze with four equal size arms that are elevated above the ground. Mice were placed in the center chamber and allowed to freely explore for 8 minutes. Behavior was recorded and scored by Ethovision v.9, 14.
Open Field:
To assess anxiety-related and locomotor behaviors, we used a square acrylic arena (43 cm x 43 cm x 33 cm) equipped with a panel of 16 horizontal infrared beams per axis. Data was collected and analyzed with Fusion v. 4 software (Omnitech Electronics). Exploratory behavior and locomotor activity were measured for 30 min. We collected data for time spent in center vs. periphery, distance travelled, rears, and stereotypic behaviors.
Social vs. Object Exploration for c-Fos immunohistochemistry:
Male C57Bl/6 wildtype mice (4–8 months) were isolated for 24 hours prior to testing. Behavior was conducted in the 3-chamber apparatus, as described above, with slight modifications: the object exploration group was exposed to a novel object only, and the social exploration group was exposed to a novel mouse only. Mice were perfused 90 min after completing the social/object exploration phase.
Patch-clamp recording
Animals were decapitated under isofluorane anesthesia. Brains were quickly removed and transferred into ice-cold (0 – 4˚C) artificial cerebrospinal fluid (ACSF) of the following composition (in mM): 210.3 sucrose, 11 glucose, 2.5 KCl, 1 NaH2PO4, 26.2 NaHCO3, 0.5 CaCl2, and 4 MgCl2. Acute coronal slices (300 μm) containing the mPFC or pPVT were sectioned using a VT1200S vibratome (Leica Microsystems, Buffalo Grove, IL, USA). Slices were allowed to recover for 40 min at room temperature in the same solution, but with reduced sucrose (105.2 mM) and addition of NaCl (109.5 mM). Following recovery, slices were maintained at room temperature in standard ACSF composed of the following (in mM): 119 NaCl, 2.5 KCl, 1 NaH2PO4, 26.2 NaHCO3, 11 glucose, 2 CaCl2, and 2 MgCl2. Patch clamp recordings were performed from fluorescently labeled neurons in deep layer mPFC (including anterior cingulate cortex and prelimbic cortex between AP 2.3mm to 1.3mm) using borosilicate glass electrodes (3 – 5 MΩ). Whole-cell voltage-clamp recordings were obtained with the internal solution containing (in mM): 120 Cs-methanesulfonate, 10 HEPES, 0.5 EGTA, 8 NaCl, 4 Mg-ATP, 1 QX-314, 10 Na-phosphocreatine, and 0.4 Na-GTP. Current clamp recordings were obtained with the internal solution containing (in mM): 127.5 K-methanesulfonate, 10 HEPES, 5 KCl, 5 Na-phosphocreatine, 2 MgCl2, 2 Mg-ATP, 0.6 EGTA, and 0.3 Na-GTP. Spontaneous excitatory and inhibitory postsynaptic currents were recorded in standard ACSF (as above). Miniature excitatory and inhibitory postsynaptic currents (mEPSC and mIPSC) were recorded in the presence of TTX (1 μM; Abcam) in the bath solution. Spontaneous and Miniature EPSCs and IPSCs were separated by holding the neuron at the reversal potential for excitatory or inhibitory postsynaptic currents, allowing for isolation of EPSCs and IPSCs at −60 mV and 0 mV, respectively. Data were low-pass filtered at 3 kHz and acquired at 10 kHz using Multiclamp 700B (Axon Instruments) and pClamp 10 v. 10.6.2.2 (Molecular Devices). All stimulation was conducted at 0.1 Hz to avoid inducing synaptic plasticity. Series and membrane resistance was continuously monitored, and recordings were discarded when these measurements changed by > 20%. Recordings in which series resistance exceeded 25MΩ were rejected. Detection and analysis of EPSCs and IPSCs were performed using MiniAnalysis v. 6.0.7 (Synaptosoft). For current-clamp recordings, we applied DNQX (20 μM; TOCRIS), D-AP5 (50 μM; TOCRIS) and picrotoxin (30 μM; TOCRIS). Series resistance was monitored and canceled using a bridge circuit, and pipette capacitance was compensated. Voltage signals were low-pass filtered at 10 kHz. The baseline membrane potential was maintained near –70 mV with a current injection. We recorded membrane potential responses to hyperpolarizing and depolarizing current pulses (500 ms in duration) and then, we examined action potential by using Signal 4 v.4 (Cambridge Electronic Design).
For optogenetic experiments, mPFC->pPVT projection neurons in mPFC, or their terminals in pPVT, or mPFC Chrna2+ neurons were stimulated using TTL-pulsed microscope objective-coupled LEDs (450 nm, Prizmatix). At the beginning of each experiment an input-output curve expressed as stimulus intensity–response amplitude curve was established for each neuron independently by incrementally increasing a light intensity in a step-wise fashion (0.1mW/mm2/step) from the minimal stimulation level 1 to determine the intensity of the stimulation that evoked PSC reliably at the plateau of the curve to ensure activation of all ChR2-expressing terminals within the field of view. The power of light stimuli was quantified using an optical power meter (Thorlabs). For PPR experiments, we set the intensity of the stimulus at the plateau level where additional increase in the light intensity didn’t affect the amplitude of the light-evoked responses. Short-term dynamics were tested with twin pulses separated by 500 ms. Stimuli were given every 20 sec and at least 15 responses were averaged at each interpulse interval. Paired-pulse recordings were conducted in standard ACSF. To limit the impact of disynaptic excitation, paired pulse ratio was determined as a ratio of the amplitude of EPSC2 to the amplitude of EPSC1. To isolate monosynaptic connections, eEPSCs were recorded in the presence of TTX (1 μM), 4-AP (100 μM) and picrotoxin (100 μM).
To validate modulation of mPFC->pPVT projection neurons with eNpHR3.0, iDREADD, or eDREADD, whole-cell recordings in gap-free mode were obtained with borosilicate glass electrodes (5–8 mΩ resistance) filled with a current clamp internal solution (in mM: 127.5 K-methanesulfonate, 10 HEPES, 5 KCl, 5 Na-phosphocreatine, 2 MgCl2, 2 Mg-ATP, 0.6 EGTA, and 0.3 Na-GTP). Fluorescently-labeled cells were visualized on an upright microscope equipped for both DIC and fluorescence visualization. Cells were held at −55mV to avoid the potassium reversal. For chemogenetics, 10 μM CNO was bath applied to cells that exhibited at least 5 minutes of stable baseline recording. Membrane potential was compared between baseline and 5 minutes after CNO application. For optogenetics, frequency of spikes induced by current injection in neurons expressing eNpHR3.0. neurons were compared before, during, and after yellow light stimulation using TTL-pulsed microscope objective-coupled LED (546 nm, Prizmatix).
In vivo electrophysiology
Sixteen-channel silicone optoelectrodes with 177 μm2 recording sites (NeuroNexus Technologies) spaced 50 μm apart were used to record neuronal activity in the pPVT. All in vivo recordings were acquired using the Omniplex A system (Plexon). Spike signals were filtered at a bandpass of 300 Hz to 8 kHz. Sorting of single units was carried out using principal component analysis in an offline sorter v. 3.2.2 (Plexon). Three weeks after virus injection, electrophysiological experiments with optogenetic stimulation were performed under 0.5–1% isoflurane anesthesia. Blue light illumination (wavelength 473 nm, 2.5 ms duration, 20 Hz) or yellow light illumination (wavelength 565 nm, continuous stimulation) was delivered using an optic fiber (diameter 105 μm) coupled to the extracellular recording electrode which was inserted into the pPVT based on stereotaxic coordinates. The power at the fiber-optic tip was approximately 10 mW (blue light) and 4.5 mW (yellow light).
Statistics
Statistical analyses were performed using Prism v. 8 (Graphpad). No statistical methods were used to pre-determine sample sizes but our sample sizes are similar to those reported in previous publications11,28. Data collection and analysis were not performed blind to the conditions of the experiments. Subjects (mice) were randomly assigned into study groups. For all studies, independent animals were used as replicates. Replication studies confirmed our results in all experiments. Data distribution was assumed to be normal but this was not formally tested. Statistical analyses for fiber photometry were conducted using parametric tests on z-scored data. Analyses comparing multiple time points were conducted with paired t-tests. Behavioral tests in DREADD and optogenetic experiments were analyzed using 2-way ANOVAs, or paired t-tests, as indicated. For patch-clamp physiology, statistical analyses were conducted using t-test or 2-way ANOVAs. All statistical tests were two-tailed. Bar graphs and photometry averaged traces are presented as the mean and error bars represent the standard error of the mean (s. e. m.).
Reporting Summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Data availability:
The source data underlying Figs. 1–8 and Extended Data Figs. 1–9 are provided as source data files. The rest of relevant data are available from the corresponding author on reasonable request.
Code availability:
Codes for fiber photometry analysis are available from the authors upon reasonable request.
Extended Data
Acknowledgments:
We thank Ms. Meaghan Janis for assisting with histological analysis and Drs. Roger Clem, Peter Rudebeck, Mark Baxter, and members of the Morishita lab for helpful feedback. This work was supported by Naito Foundation, Uehara Memorial Foundation, Mochida Memorial Foundation, JSPS to K.Y., NIH T32MH966785 to L.K.B., and NIH R01MH118297, R01MH119523, and the Simons Foundation/SFARI (610850) to H.M.
Footnotes
Competing interests: Authors have no competing interests as defined by Nature Research, or other interests that might be perceived to influence the results and/or discussion reported in this paper.
References:
- 1.Cacioppo JT & Cacioppo S. The growing problem of loneliness. Lancet 391, 426, doi: 10.1016/S0140-6736(18)30142-9 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Miller G Social neuroscience. Why loneliness is hazardous to your health. Science 331, 138–140, doi: 10.1126/science.331.6014.138 (2011). [DOI] [PubMed] [Google Scholar]
- 3.Pitman A, Mann F & Johnson S Advancing our understanding of loneliness and mental health problems in young people. Lancet Psychiatry 5, 955–956, doi: 10.1016/S2215-0366(18)30436-X (2018). [DOI] [PubMed] [Google Scholar]
- 4.Freedman DG, King JA & Elliot O Critical period in the social development of dogs. Science 133, 1016–1017, doi: 10.1126/science.133.3457.1016 (1961). [DOI] [PubMed] [Google Scholar]
- 5.Makinodan M, Rosen KM, Ito S & Corfas G A critical period for social experience-dependent oligodendrocyte maturation and myelination. Science 337, 1357–1360, doi: 10.1126/science.1220845 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Nelson CA 3rd et al. Cognitive recovery in socially deprived young children: the Bucharest Early Intervention Project. Science 318, 1937–1940, doi: 10.1126/science.1143921 (2007). [DOI] [PubMed] [Google Scholar]
- 7.Almas AN, Degnan KA, Nelson CA, Zeanah CH & Fox NA IQ at age 12 following a history of institutional care: Findings from the Bucharest Early Intervention Project. Dev Psychol 52, 1858–1866, doi: 10.1037/dev0000167 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Bicks LK, Koike H, Akbarian S & Morishita H Prefrontal Cortex and Social Cognition in Mouse and Man. Front Psychol 6, 1805, doi: 10.3389/fpsyg.2015.01805 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Yamamuro K et al. Social Isolation During the Critical Period Reduces Synaptic and Intrinsic Excitability of a Subtype of Pyramidal Cell in Mouse Prefrontal Cortex. Cerebral cortex (New York, N.Y. : 1991) 28, 998–1010, doi: 10.1093/cercor/bhx010 (2018). [DOI] [PubMed] [Google Scholar]
- 10.Kirouac GJ Placing the paraventricular nucleus of the thalamus within the brain circuits that control behavior. Neurosci Biobehav Rev 56, 315–329, doi: 10.1016/j.neubiorev.2015.08.005 (2015). [DOI] [PubMed] [Google Scholar]
- 11.Bicks LK et al. Prefrontal parvalbumin interneurons require juvenile social experience to establish adult social behavior. Nat Commun 11, 1003, doi: 10.1038/s41467-020-14740-z (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Nigro MJ, Hashikawa Y & Rudy B. Diversity and connectivity of layer 5 somatostatin-expressing interneurons in the mouse barrel cortex. J Neurosci, doi: 10.1523/JNEUROSCI.2415-17.2017 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Hilscher MM, Leao RN, Edwards SJ, Leao KE & Kullander K Chrna2-Martinotti Cells Synchronize Layer 5 Type A Pyramidal Cells via Rebound Excitation. PLoS Biol 15, e2001392, doi: 10.1371/journal.pbio.2001392 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Dong X, Li S & Kirouac GJ Collateralization of projections from the paraventricular nucleus of the thalamus to the nucleus accumbens, bed nucleus of the stria terminalis, and central nucleus of the amygdala. Brain Struct Funct 222, 3927–3943, doi: 10.1007/s00429-017-1445-8 (2017). [DOI] [PubMed] [Google Scholar]
- 15.Otis JM et al. Prefrontal cortex output circuits guide reward seeking through divergent cue encoding. Nature 543, 103–107, doi: 10.1038/nature21376 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Campus P et al. The paraventricular thalamus is a critical mediator of top-down control of cue-motivated behavior in rats. Elife 8, doi: 10.7554/eLife.49041 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Do-Monte FH, Quinones-Laracuente K & Quirk GJ A temporal shift in the circuits mediating retrieval of fear memory. Nature 519, 460–463, doi: 10.1038/nature14030 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Penzo MA et al. The paraventricular thalamus controls a central amygdala fear circuit. Nature 519, 455–459, doi: 10.1038/nature13978 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Makinodan M et al. Effects of the mode of re-socialization after juvenile social isolation on medial prefrontal cortex myelination and function. Sci Rep 7, 5481, doi: 10.1038/s41598-017-05632-2 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Kingsbury L et al. Correlated Neural Activity and Encoding of Behavior across Brains of Socially Interacting Animals. Cell 178, 429–446 e416, doi: 10.1016/j.cell.2019.05.022 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Liang B et al. Distinct and Dynamic ON and OFF Neural Ensembles in the Prefrontal Cortex Code Social Exploration. Neuron 100, 700–714 e709, doi: 10.1016/j.neuron.2018.08.043 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Lee E et al. Enhanced Neuronal Activity in the Medial Prefrontal Cortex during Social Approach Behavior. J Neurosci 36, 6926–6936, doi: 10.1523/JNEUROSCI.0307-16.2016 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Levy DR et al. Dynamics of social representation in the mouse prefrontal cortex. Nat Neurosci 22, 2013–2022, doi: 10.1038/s41593-019-0531-z (2019). [DOI] [PubMed] [Google Scholar]
- 24.Benekareddy M et al. Identification of a Corticohabenular Circuit Regulating Socially Directed Behavior. Biol Psychiatry 83, 607–617, doi: 10.1016/j.biopsych.2017.10.032 (2018). [DOI] [PubMed] [Google Scholar]
- 25.Murugan M et al. Combined Social and Spatial Coding in a Descending Projection from the Prefrontal Cortex. Cell 171, 1663–1677 e1616, doi: 10.1016/j.cell.2017.11.002 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Brumback AC et al. Identifying specific prefrontal neurons that contribute to autism-associated abnormalities in physiology and social behavior. Mol Psychiatry, doi: 10.1038/mp.2017.213 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Yizhar O et al. Neocortical excitation/inhibition balance in information processing and social dysfunction. Nature 477, 171–178, doi: 10.1038/nature10360 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Carta I, Chen CH, Schott AL, Dorizan S & Khodakhah K Cerebellar modulation of the reward circuitry and social behavior. Science 363, doi: 10.1126/science.aav0581 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Willsey AJ et al. Coexpression networks implicate human midfetal deep cortical projection neurons in the pathogenesis of autism. Cell 155, 997–1007, doi: 10.1016/j.cell.2013.10.020 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Bakken TE et al. A comprehensive transcriptional map of primate brain development. Nature 535, 367–375, doi: 10.1038/nature18637 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The source data underlying Figs. 1–8 and Extended Data Figs. 1–9 are provided as source data files. The rest of relevant data are available from the corresponding author on reasonable request.