Abstract
While initial encoding of contextual memories involves the strengthening of hippocampal circuits, these memories progressively mature to stabilized forms in neocortex and become less hippocampus dependent. Although it has been proposed that long-term storage of contextual memories may involve enduring synaptic changes in neocortical circuits, synaptic substrates of remote contextual memories have been elusive. Here we demonstrate that the consolidation of remote contextual fear memories in mice correlated with progressive strengthening of excitatory connections between prefrontal cortical (PFC) engram neurons active during learning and reactivated during remote memory recall, whereas the extinction of remote memories weakened those synapses. This synapse-specific plasticity was CREB-dependent and required sustained hippocampal signals, which the retrosplenial cortex could convey to PFC. Moreover, PFC engram neurons were strongly connected to other PFC neurons recruited during remote memory recall. Our study suggests that progressive and synapse-specific strengthening of PFC circuits can contribute to long-term storage of contextual memories.
Subject terms: Long-term memory, Neural circuits, Long-term potentiation, Fear conditioning, Consolidation
Lee et al. show that the long-term storage of remote contextual memories involves progressive and synapse-specific strengthening of excitatory connections between memory engram neurons in the prefrontal cortex.
Main
The acquisition of contextual memories requires hippocampal circuits. For instance, encoding of contextual fear memories involves synapse-specific plasticity in hippocampal CA3–CA1 and hippocampal–amygdala circuits1,2. Once acquired, contextual memories gradually mature to stabilized forms in the neocortex during systems-level memory consolidation3–5. The standard consolidation model proposes that the long-term storage of contextual memories may involve enduring synaptic changes in neocortical circuits6,7 such that remote memory recall depends less on the hippocampus8. However, synapse-specific substrates of remote contextual memories have not been identified.
Previous studies suggest that neurons in the medial prefrontal cortex (mPFC) and anterior cingulate cortex (ACC) have a pivotal role in the consolidation of remote but not recent contextual memories9–11. These prefrontal cortex (PFC) memory engram neurons are rapidly generated during learning, gradually mature with time and are reactivated during remote memory recall12. Although these studies identified neuronal correlates of remote contextual memories, how PFC engram neurons contribute to remote memory consolidation at the synaptic level remains poorly understood. Connections between PFC engram neurons may be strengthened during memory consolidation, synchronizing the activity of PFC engram neurons and facilitating their reactivation during remote memory recall. However, it remains to be determined whether and how the synaptic strength of neocortical circuits changes during systems consolidation. It is also unknown how PFC engram neurons are connected to other PFC neurons recruited during remote memory recall and those projecting to subcortical engram neurons or how systems consolidation affects these synapses. The transformation theory of systems consolidation proposes that an initially formed memory with contextual details remains dependent on the hippocampus and supports the development of a schematic memory with few contextual details in the neocortex13,14. However, how signals of hippocampal engram are conveyed to PFC for the maturation of neocortical engram remains incompletely understood. In this study, we demonstrated that remote memory consolidation involves progressive and synapse-specific strengthening of excitatory connections between PFC engram neurons, which requires sustained signals of hippocampal engram.
Results
Reactivation of mPFC engram neurons and remote memory recall
We used heterozygous Fos-iCreERT2 knock-in mice15 to label neurons recruited during contextual fear conditioning (CFC), in which the mice learn to associate a neutral context with aversive unconditioned stimuli (US; electric footshock) and display fear to the context. Fos-iCreERT2 × ROSA-LSL-tdTomato mice in the CFC group received the US in Context A and received 4-hydroxytamoxifen (4-OHT) injection (Fig. 1a,b). Neurons active during CFC expressed iCreERT2 under the control of c-Fos promoter, which induced the recombination of LoxP-STOP-LoxP sequence in the presence of 4-OHT, resulting in tdTomato (tdT) expression (Fig. 1a and Extended Data Fig. 1c). In the home cage (HC) group, neurons active in the HC were labeled with tdT and the mice were fear conditioned 2 d later. Four weeks after CFC, the mice displayed robust freezing behavior in Context A (Fig. 1c and Extended Data Fig. 1a,b). Neurons active during remote memory recall were immunolabeled for c-Fos. In the prelimbic (PL) division of the mPFC and basolateral amygdala (BLA), both tdT+ cell density and c-Fos+ proportion among all tdT+ neurons were higher in the CFC group than in the HC group, whereas c-Fos+ cell density did not differ between groups (Fig. 1d–g and Supplementary Table 1). These results suggest that CFC recruited mPFC/PL and BLA neurons, which were more likely reactivated during remote memory recall than neurons active in the HC. In the CFC group, tdT expression was highest in mPFC layer 2/3 and detected in 2.8 ± 0.5% of CaMKII+ neurons, while 6.5 ± 1.0% of tdT+ mPFC neurons projected to the BLA (mean ± s.e.m., five mice, Extended Data Fig. 1d–i).
We examined whether the reactivation of mPFC neurons active during CFC induced memory recall. After surgery for virus injection and optical cannula implantation, mice were fear conditioned in Context A to induce ChR2-eYFP or eYFP expression in mPFC neurons active during CFC (Fig. 1h–j). Four weeks after CFC, the mice were placed in Context B and received 5 Hz photostimulation, which substantially increased freezing behavior in the ChR2 group (laser off, 17.4 ± 2.9%; laser on, 29.6 ± 5.7%; mean ± s.e.m, 13 mice) but not in the eYFP group (laser off, 20.6 ± 4.2%; laser on, 18.7 ± 4.9%; 9 mice; Fig. 1k, l and Supplementary Table 2). Thus, the reactivation of mPFC neurons active during CFC induced fear in an irrelevant context. Our results suggest that a subset of mPFC neurons active during CFC was reactivated during remote memory recall, and optogenetic reactivation of these neurons induced memory recall. Thus, we termed these labeled mPFC neurons ‘mPFC engram neurons’16.
Strengthening of PFC engram circuit in systems consolidation
We next examined if remote memory consolidation might strengthen connections between mPFC engram neurons to store remote contextual memories. AAV-DIO-ChR2-eYFP was unilaterally injected into the mPFC/PL in Fos-iCreERT2 × ROSA-LSL-tdTomato mice (Fig. 2a,b). Four weeks after CFC, the mice were tested for remote memory recall and brain slices were prepared for electrophysiological recordings (Fig. 2c). Engram neurons in the AAV-injected mPFC expressed ChR2-eYFP and tdT, whereas engram neurons in the contralateral mPFC expressed only tdT (Fig. 2b). ChR2-eYFP+ axons of mPFC engram neurons, which we termed ‘mPFC engram inputs’, were sparsely distributed in the contralateral mPFC (Fig. 2b). Photostimulation of ChR2+ interhemispheric mPFC engram inputs induced excitatory postsynaptic currents (EPSCs) recorded in mPFC layer 2/3 pyramidal neurons using the whole-cell patch-clamp technique. EPSCs recorded in tdT+ engram neurons and tdT- nonengram (NE) neurons reflected synaptic responses in engram inputs to engram neurons (E–E synapses) and those inputs to nonengram neurons (E–NE synapses), respectively (Fig. 2a). Compared with E–NE synapses, E–E synapses displayed larger AMPA receptor (AMPAR)-mediated EPSCs (Fig. 2d,e). To compare synaptic strength, we recorded both AMPAR and NMDA receptor (NMDAR)-mediated EPSCs in the same mPFC neurons and calculated the AMPA/NMDA ratio17,18, which was also higher in E–E synapses than in NE–E synapses (Fig. 2d,e). Thus, interhemispheric mPFC engram inputs were more strongly connected to mPFC engram neurons than to nonengram neurons 28 d after CFC. Such synaptic changes were also observed 14 d but not 7 d after CFC (Fig. 2f–i and Extended Data Fig. 2f–h), suggesting that mPFC E–E synapses were gradually strengthened during systems consolidation. The strengthening of mPFC E–E synapses was not induced by remote memory recall because the same temporal pattern of synaptic changes was observed without memory recall before recordings (Extended Data Fig. 2a–e,i–m). Consistent with this, silencing of mPFC engram neurons inhibited memory recall 28 d but not 7 d after CFC (Extended Data Fig. 3), suggesting that remote memory recall requires the activity of mPFC engram neurons.
We also examined whether synaptic strengthening associated with systems consolidation was input specific. ChR2-eYFP was globally expressed in CaMKII+ pyramidal neurons in the AAV-injected mPFC (Extended Data Fig. 4a,b). As engram neurons constitute only a small subset of CaMKII+ mPFC neurons (Extended Data Fig. 1e,f), most ChR2-eYFP+ axons were nonengram inputs. Four weeks after CFC, photostimulation of ChR2-eYFP+ axons induced EPSCs in tdT+ engram (NE–E synapses) and tdT− nonengram neurons (NE–NE synapses) in the contralateral mPFC. AMPAR-mediated EPSCs or the AMPA/NMDA ratio did not differ between NE–E and NE–NE synapses (Extended Data Fig. 4c–e), suggesting that nonengram inputs to mPFC engram neurons were not strengthened. Thus, remote memory consolidation involves synapse-specific strengthening of excitatory connections between mPFC engram neurons, which we termed the ‘mPFC engram circuit’.
We next examined whether systems consolidation also strengthened engram circuits in the caudal ACC (cACC) and retrosplenial cortex (RSC) implicated in the consolidation and retrieval of remote contextual memories9,19,20 (Extended Data Fig. 5). In the cACC, both AMPAR EPSCs and the AMPA/NMDA ratio were substantially larger in E–E synapses than in E–NE synapses 28 d after CFC, whereas such differences were not detected in the RSC. These results suggest that certain neocortical engram circuits are more likely to undergo synaptic changes during systems consolidation.
CREB-dependent strengthening of mPFC engram circuit
In a previous study, the inhibition of CREB in mPFC engram neurons prevented remote memory consolidation10. Since CREB is essential for neuronal plasticity21, CREB inhibition may block the strengthening of mPFC engram circuit, thereby preventing systems consolidation. To test this, we inhibited CREB in mPFC engram neurons with dominant-negative mutant CREB(S133A) or MutCREB10 after CFC and examined how this affected the strengthening of mPFC engram circuit. mPFC engram neurons expressed ChR2-eYFP and tdT, while some tdT+ engram neurons in the contralateral mPFC expressed mGFP-MutCREB (Fig. 3a,b). Photostimulation of ChR2+ engram inputs induced EPSCs in tdT+/MutCREB− engram neurons (E–E synapses), tdT+/MutCREB+ engram neurons (E–E synapses) and tdT−/MutCREB− nonengram neurons (E–NE synapses) (Fig. 3c). The AMPA/NMDA ratio was substantially larger in tdT+/MutCREB− engram neurons than in tdT+/MutCREB+ engram neurons or tdT−/MutCREB− nonengram neurons and did not differ between tdT+/MutCREB+ neurons and tdT−/MutCREB− neurons (Fig. 3c,d), indicating that MutCREB expression in postsynaptic mPFC neurons prevented the strengthening of mPFC engram circuit. Thus, CREB in mPFC engram neurons is indispensable for the strengthening of the mPFC circuit during systems consolidation. Moreover, overexpression of MutCREB in mPFC engram neurons after CFC also inhibited remote memory recall (Fig. 3e,f), suggesting the critical role of CREB in remote memory consolidation and/or recall.
Extinction of remote memories weakened mPFC engram circuit
After CFC, repeated exposure to the threat-predictive context without the US induces the extinction of contextual fear memories. We examined how remote memory extinction affected mPFC engram circuit. Four weeks after CFC, extinction training for 5 d gradually decreased freezing behavior in Context A (Fig. 3g,h). After extinction training, neither AMPAR EPSCs nor the AMPA/NMDA ratio differed between E–E and E–NE synapses in the mPFC (Fig. 3i,j), suggesting that remote memory extinction weakened E–E synapses previously strengthened during systems consolidation. Overall, the average difference in the AMPA/NMDA ratio between E–E and E–NE synapses in each mouse correlated with freezing behavior during the last recall session (Fig. 3k), suggesting that systems consolidation strengthens mPFC engram circuit, while remote memory extinction weakens the engram circuit.
Strengthening of local mPFC circuit in systems consolidation
Our results suggest that remote memory consolidation involves the strengthening of interhemispheric connections between mPFC engram neurons. We next examined whether local excitatory connections between mPFC engram neurons were also strengthened after systems consolidation. Four weeks after CFC, mPFC engram neurons expressed ChR2 and tdT (Fig. 4a–c). Photostimulation of ChR2+ engram neurons induced EPSCs recorded in adjacent engram and nonengram neurons in the ipsilateral mPFC. In engram neurons, we isolate EPSCs from ChR2-mediated photocurrents by inducing asynchronous glutamate release from presynaptic engram inputs in Ca2+-free and 4 mM Sr2+-containing extracellular solution22, which also contained tetrodotoxin (TTX, 1 μM) and 4-aminopyridine (4-AP, 1 mM) to prevent postsynaptic EPSCs23 (Fig. 4d). Evoked quantal EPSCs (qEPSCs) were recorded in tdT+ engram and tdT− nonengram neurons at −80 mV in voltage-clamp mode and calculated the average peak amplitude of all detected qEPSCs in each neuron as an index of synaptic strength24. qEPSCs amplitude was substantially larger in engram neurons than in nonengram neurons (Fig. 4e), indicating stronger local excitatory connections in E–E synapses than in E–NE synapses 28 d after CFC. To compare synaptic strength in nonspecific inputs to mPFC engram versus nonengram neurons, we also recorded spontaneous miniature EPSCs (mEPSCs), whose amplitude did not differ between engram and nonengram neurons (Fig. 4f,g), suggesting that systems consolidation did not alter synaptic strength in nonspecific inputs to engram neurons.
We also recorded evoked qEPSC 7 d after CFC and found no difference in qEPSC amplitude between E–E and E–NE synapses (Fig. 4h–j), indicating that local mPFC engram circuit was not yet strengthened 7 d after CFC (Fig. 4k). The strengthening of local mPFC engram circuit was not induced by remote memory recall as the same temporal pattern of synapse-specific strengthening was observed without memory recall before recordings (Extended Data Fig. 6). As mPFC GABAergic interneurons are involved in encoding conditioned fear memories25,26, we next examined synaptic changes in inhibitory engram inputs to mPFC pyramidal neurons. CFC induced ChR2-eYFP and tdT expression in both excitatory and inhibitory engram neurons (Extended Data Fig. 7a,b). After 28 d, we photostimulated ChR2+ mPFC engram inputs and recorded inhibitory postsynaptic currents (IPSCs) in tdT− or tdT+ pyramidal neurons at 0 mV in the voltage-clamp mode in the presence of Sr2+, TTX, 4-AP and NBQX. qIPSC amplitude was substantially smaller in tdT+ neurons than in tdT− neurons (Extended Data Fig. 7c,d), indicating weaker GABAergic engram inputs to mPFC engram neurons than those inputs to nonengram neurons. Thus, mPFC engram neurons receive weaker inhibitory engram inputs than other neurons.
Maturation of mPFC engram requires hippocampal dentate gyrus activity
The dorsal dentate gyrus (DG) has a critical role in mPFC engram maturation during systems consolidation12. To determine how DG contributes to systems consolidation, we genetically ablated DG engram neurons active during CFC and examined how this affected the reactivation of mPFC engram during remote memory recall and the strengthening of mPFC engram circuit. In the Casp3+ group, AAV-Flex-taCasp3-TEVp and AAV-pFos-CreERT2 were bilaterally injected into the dorsal DG in Fos-iCreERT2 × ROSA-LSL-tdTomato mice (Fig. 5a). In this group, DG engram neurons expressed tdT and taCasp3-TEVp and underwent taCaspase-3-mediated cell death27, resulting in efficient ablation of DG engram neurons 28 d but not 3 d after CFC (Fig. 5b,c). One day after CFC, mice showed robust freezing behavior in Context A, while mice in the Casp3+ group displayed much less freezing behavior than mice in no Caspase3 (Casp3−) control group 28 d after CFC (Fig. 5d). This suggests that the ablation of DG engram neurons inhibited the consolidation and/or retrieval of remote contextual memories. In both groups, engram neurons were labeled with tdT, whereas neurons active during remote memory recall were immunostained for c-Fos. In both the mPFC/PL and BLA, the proportion of c-Fos+ neurons among all tdT+ engram neurons was substantially lower in the Casp3+ group than in the Casp3− group (Fig. 5e,f), indicating reduced reactivation of engram neurons during remote memory recall when DG engram neurons were ablated.
These results raise the possibility that sustained activity of DG engram neurons may strengthen mPFC engram circuit and facilitate mPFC engram maturation during systems consolidation. To test this, we examined how the ablation of DG engram neurons affected the strengthening of mPFC engram circuit. In the Casp3+ group, DG engram neurons underwent Casp3-mediated cell death, and mice showed very weak freezing behavior during remote memory recall (Fig. 5g,h). Photostimulation of local ChR2+ mPFC engram inputs induced qEPSCs, which were recorded in tdT+ engram (E–E synapses) and tdT− nonengram neurons (E–NE synapses) in the presence of Sr2+, TTX and 4-AP (Fig. 5i). In the Casp3+ group, the peak amplitude of evoked qEPSCs did not differ between engram versus nonengram neurons (Fig. 5i,j), indicating the absence of strengthening of local mPFC engram circuit. However, in the Casp3− group, we observed the strengthening of local mPFC engram circuit (Fig. 5j). The ablation of DG engram neurons also inhibited the strengthening of interhemispheric mPFC engram circuit (Extended Data Fig. 8a–c). These results indicate the critical role of DG engram in the strengthening of mPFC engram circuits. Thus, sustained activity of DG engram after learning can contribute to remote memory consolidation possibly by strengthening mPFC engram circuits.
RSC relays hippocampal signal to PFC engram
Dorsal DG engram can contribute to systems consolidation by modulating mPFC activity possibly through the dorsal CA1 hippocampus (dCA1), the major output of the hippocampus. Consistent with this, the ablation of dCA1 engram neurons active during CFC prevented the strengthening of local mPFC engram circuit (Extended Data Fig. 8d–g). As the dCA1 weakly projects to the mPFC28, dCA1 signals may be conveyed to mPFC engram through intermediary areas during systems consolidation. To identify these areas, we examined presynaptic inputs to mPFC engram neurons, using rabies virus (RV)-mediated retrograde (rg) trans-synaptic tracing29. mPFC engram neurons expressed TVA-G-GFP and were infected with EnvA-expressing and G-deficient RV-mCherry, resulting in mCherry expression in neurons monosynaptically projecting to mPFC engram neurons (Fig. 6a–d). mCherry+ neurons were detected in the cACC, RSC, lateral entorhinal cortex (EC), ventral CA1 hippocampus and BLA, while few mCherry+ neurons were found in the dCA1 (Fig. 6e). As the RSC has been implicated in systems consolidation20, we examined whether the RSC might relay signals of dCA1 engram neurons to mPFC engram neurons. dCA1 engram neurons expressed ChR2-eYFP, while RSC neurons projecting to mPFC engram neurons were labeled with mCherry (Fig. 6f,g). Within the RSC, photostimulation of ChR2-eYFP+ dCA1 engram inputs induced monosynaptic EPSCs in mCherry+ RSC neurons (Fig. 6h), indicating that RSC neurons projecting to mPFC engram neurons received monosynaptic dCA1 engram inputs. These results suggest that a subset of RSC neurons could convey the signal of dCA1 engram to mPFC engram during remote memory consolidation (Fig. 6i). Consistent with this, the ablation of engram neurons in the dCA1 or RSC inhibited remote memory recall (Fig. 6j,k and Extended Data Fig. 8h,i), suggesting that the role of the dCA1−RSC−mPFC circuit in systems consolidation.
mPFC–BLA engram circuits for remote fear memory recall
A previous study suggests the critical role of the mPFC–BLA pathway in the recall of remote contextual fear memories12. Consistent with this, we found that 17.5 ± 1.3% of mPFC neurons projecting to the BLA were activated during remote fear memory recall, while 6.6 ± 1.0% of mPFC neurons active during memory recall projected to the BLA (mean ± s.e.m., five mice; Extended Data Fig. 9a–c). Moreover, silencing of mPFC neurons projecting to the BLA prevented the recall of remote but not recent contextual fear memory30 (Extended Data Fig. 9d–g), suggesting that activity in the mPFC–BLA pathway is required for remote fear memory recall.
We next examined how mPFC engram could activate BLA engram to induce remote fear memory recall31. mPFC engram neurons expressed ChR2-eYFP, and BLA engram neurons expressed tdT (Fig. 7a–c). Four weeks after CFC, photostimulation of ChR2+ mPFC engram inputs induced EPSCs in tdT+ BLA neurons (Fig. 7d), indicating that mPFC engram neurons monosynaptically projected to BLA engram neurons. Moreover, both AMPAR EPSC amplitude and the AMPA/NMDA ratio were substantially larger in tdT+ BLA neurons than in tdT– neurons (Fig. 7d,e), suggesting stronger connections of mPFC engram inputs to BLA engram neurons than those inputs to nonengram neurons. The strengthening of the mPFC–BLA engram circuit was also observed without memory recall before recording, indicating that it was not induced by memory recall (Extended Data Fig. 9h–j). Moreover, synapse-specific strengthening of the mPFC–BLA engram circuit was not detected 7 d after CFC, suggesting that the engram circuit was progressively strengthened during systems consolidation (Extended Data Fig. 9k). With these synaptic changes, mPFC engram neurons can efficiently reactivate BLA engram neurons during remote fear memory recall.
As only a small fraction of mPFC engram neurons projected to the BLA (Extended Data Fig. 1g,h), we examined whether mPFC engram might indirectly activate BLA engram by recruiting mPFC neurons projecting to BLA engram neurons, which we termed ‘mPFC relay neurons’. We labeled mPFC relay neurons with mCherry using RV-mediated trans-synaptic tracing, while mPFC engram neurons expressed ChR2-eYFP (Fig. 7f–h). Photostimulation of ChR2+ mPFC engram neurons induced monosynaptic EPSCs and action potential firings in 88% and 40% of mPFC relay neurons examined, respectively (33 and 20 cells examined, respectively, Fig. 7i–j). Although mPFC relay neurons did not receive stronger mPFC engram inputs than other mPFC neurons (Fig. 7i), these results indicate that mPFC engram neurons can activate BLA engram neurons through mPFC relay neurons and contribute to remote fear memory recall (Fig. 7k).
Strong connections between mPFC engram and recall neurons
While a substantial proportion (~30%) of mPFC engram neurons were reactivated during remote memory recall, other mPFC neurons were also recruited during memory recall (Fig. 1d). During remote memory recall, reactivated mPFC engram neurons may recruit other mPFC neurons that were not active during CFC, which termed ‘mPFC recall neurons’. To test this, we examined whether mPFC engram neurons were monosynaptically connected to mPFC recall neurons. Using dual independent labeling2, we independently labeled mPFC neurons active during CFC and those recruited during remote memory recall. After CFC and 4-OHT injection, mPFC engram neurons active during CFC expressed ChR2-eYFP (Fig. 8a–d). After 4 weeks, the mice received doxycycline (Dox) injection and were tested for remote memory recall, resulting in tdT expression in mPFC neurons active during recall (Fig. 8b–d). Thus, ChR2+ neurons represent mPFC engram neurons, whereas tdT+/ChR2– neurons were mPFC recall neurons. Photostimulation of ChR2+ engram inputs induced glutamatergic and monosynaptic EPSCs in tdT+/ChR2– mPFC neurons (Fig. 8e), indicating that mPFC recall neurons received excitatory inputs of mPFC engram neurons. Moreover, both AMPAR EPSCs and the AMPA/NMDA ratio were substantially larger in tdT+/ChR2– mPFC neurons than in tdT–/ChR2– neurons (Fig. 8f,g), indicating that mPFC recall neurons received stronger mPFC engram inputs than other neurons did. Thus, during remote memory recall, reactivated mPFC engram neurons can efficiently recruit mPFC recall neurons (Fig. 8h). Consistent with this, silencing of mPFC neurons active during remote but not recent memory recall inhibited subsequent remote memory recall (Extended Data Fig. 10).
Discussion
Once acquired, contextual memories gradually mature to a stabilized form in the neocortex3. After systems consolidation, the retrieval of remote contextual memories requires neocortical activity and depends less on hippocampal activity8,11,32–34 (but see also refs. 35,36) as the standard consolidation model proposes. During systems consolidation, mPFC engram neurons slowly undergo enduring neuronal and synaptic changes for long-term memory storage. Although a previous study suggests that dendritic spine density is globally increased in mPFC engram neurons after systems consolidation12, synapse-specific substrates of remote contextual memories have not been identified. In this study, we demonstrate that the long-term storage of remote contextual memories involves progressive and synapse-specific strengthening of excitatory connections between mPFC engram neurons.
Previous studies suggest that learning rapidly generates neocortical memory engram37,38. Using activity-dependent labeling39, we tagged mPFC neurons recruited during CFC, which were more readily reactivated during remote memory recall than other mPFC neurons. Consistent with previous reports10,12, optogenetic activation of mPFC neurons active during CFC induced memory recall, suggesting that mPFC engram is generated early during learning. However, another study suggests that mPFC engram is more dynamic and continues to evolve after learning40.
Previous studies implicated neocortical synaptic plasticity in remote memory consolidation41–43. A subset of new dendritic spines induced by learning is preserved in neocortical neurons throughout life, supporting enduring memories44. Consistent with this, our study suggests that remote memory consolidation correlates with the strengthening of mPFC engram circuits. When examined 28 d after CFC, both interhemispheric and local excitatory connections between mPFC engram neurons displayed higher synaptic efficacy than those between engram and nonengram neurons or those between nonengram neurons, suggesting synapse-specific strengthening of mPFC engram circuits during systems consolidation. The strengthening of the engram circuit was also observed in the ACC but not in the RSC, although both areas are involved in remote memory consolidation9,20. The extent of BLA inputs conveying US signals during CFC may determine which neocortical area undergoes enduring synaptic changes during systems consolidation.
The strengthening of mPFC engram circuits was not detected 7 d after CFC, indicating that the engram circuits were progressively strengthened during systems consolidation. Moreover, silencing of mPFC engram neurons inhibited the retrieval of remote but not recent contextual memory, consistent with previous reports10,12. Progressive strengthening of mPFC engram circuits may account for the time-dependent role of mPFC engram in contextual memory recall. Moreover, the inhibition of CREB in mPFC engram neurons inhibited remote memory recall10. As the same manipulation also prevented the strengthening of mPFC engram circuit, neuronal and/or synaptic plasticity in mPFC engram neurons is likely involved in remote memory consolidation. The extinction of remote contextual memories weakened mPFC engram circuit, further supporting the correlation between remote memory recall performance and synaptic strength of mPFC engram circuit. As mPFC engram neurons are crucial for remote memory recall, the weakening of mPFC engram circuit after extinction can inhibit the retrieval of remote contextual memory. Our finding that the original engram is modified by extinction learning is consistent with previous reports45,46.
Our study highlights the role of sustained hippocampal activity in mPFC engram maturation. As mPFC activity is modulated during hippocampal sharp-wave ripples47, hippocampal signals can be conveyed to the mPFC, facilitating hippocampal–neocortical interactions during sleep for memory consolidation48. Consistent with this, both the hippocampus and mPFC show the replay of activity patterns representing memories during sleep49,50. In our study, ablation of DG engram neurons inhibited both remote memory recall and the reactivation of mPFC and BLA engram during recall. These findings suggest that sustained activity of DG engram may contribute to remote memory consolidation by facilitating mPFC engram maturation. Notably, the ablation of DG engram neurons also prevented the strengthening of mPFC engram circuits. Our study also demonstrates that RSC neurons projecting to mPFC engram neurons receive monosynaptic inputs from dCA1 engram neurons, forming the dorsal hippocampal–RSC–mPFC engram circuit. Moreover, the ablation of dCA1 or RSC engram neurons inhibited remote memory recall. Thus, the RSC can convey hippocampal signals to mPFC engram for systems consolidation. Consistent with this, a previous study suggests that the stimulation of RSC engram neurons facilitated systems consolidation by modulating mPFC activity20, highlighting the role of the RSC in remote memory consolidation.
Then, how does the strengthening of mPFC engram circuits contribute to the consolidation and retrieval of remote contextual memories? Although the medial entorhinal cortex (MEC) is necessary for mPFC engram generation, activity in the MEC–mPFC pathway is not required for remote memory recall12. As mPFC engram generated by the MEC is reactivated by distinct inputs during remote memory recall, these inputs likely activate only a fraction of mPFC engram neurons. In our study, excitatory connections between mPFC engram neurons were strengthened during remote memory consolidation, while mPFC engram neurons received weaker inhibitory engram inputs than other mPFC neurons. These synaptic mechanisms can facilitate the reactivation of mPFC engram during remote memory recall, even if only a fraction of mPFC engram neurons are directly reactivated by extrinsic inputs. This is analogous to the role of the strengthening of recurrent hippocampal CA3–CA3 synapses in pattern completion51,52. Moreover, the strengthening of mPFC engram circuits can also promote synchronized activity of mPFC engram neurons for remote memory recall53,54.
In our study, some mPFC neurons projecting to the BLA were reactivated by remote memory recall, and their silencing inhibited remote but not recent memory recall, indicating that the mPFC–BLA pathway is necessary for the recall of remote contextual fear memories12. Our results also suggest that mPFC engram neurons are connected to BLA engram neurons through monosynaptic and disynaptic pathways. Moreover, mPFC engram neurons were more strongly connected to BLA engram neurons than to BLA nonengram neurons when examined 28 d but not 7 d after CFC. With this strong connectivity, mPFC engram can efficiently activate BLA engram to generate defensive behaviors in a threat-predictive context during remote fear memory recall. Synapse-specific strengthening of the mPFC–BLA engram circuit may support the development of a schematic memory with few contextual details in extrahippocampal areas as the transformation theory proposes13,14.
While a subset of mPFC engram neurons was reactivated during remote memory recall, other mPFC neurons that were not active during initial learning were also recruited during remote memory recall. These mPFC recall neurons received stronger excitatory inputs of mPFC engram neurons than other mPFC neurons. Thus, mPFC engram neurons reactivated during memory recall can efficiently recruit mPFC recall neurons, contributing to remote memory recall. Consistent with this, silencing of mPFC neurons recruited during remote but not recent memory recall inhibited subsequent memory retrieval, highlighting the role of mPFC recall neurons in remote memory recall. Thus, the retrieval of remote contextual fear memory can be suppressed by inhibiting a subset of mPFC neurons tagged even after the contextual memory is consolidated in neocortical circuits, suggesting clinical implications in attenuating chronic maladaptive fear memory in posttraumatic stress disorder. Together, our study elucidates fundamental mechanisms by which remote contextual memories are consolidated in the neocortex.
Methods
Subjects
We obtained heterozygous Fos-iCreERT2 (TRAP2) mice by crossing wild-type C57BL6/J (Jackson Laboratory Stock, 000664) and Fos-iCreERT2(+/+) mice (Jackson Laboratory Stock, 030323). We obtained Fos-iCreERT2(+/−) × ROSA-LSL-tdTomato(+/−) mice by crossing Fos-iCreERT2(+/+) and Ai14 ROSA-LSL-tdTomato(+/+) mice (Jackson Laboratory Stock, 007914). The mice were housed in home cages on a 12-h light/dark cycle at 23–25 °C with food and water continuously available. Humidity range was 30–70%. The light cycle was from 8 AM to 8 PM. Eight- to 12-week-old mice of both sexes were used for experiments. All of the animal procedures were approved by the Institutional Animal Care and Use Committee of the University of California, Riverside.
Virus constructs
The recombinant adeno-associated viruses (AAVs) were packaged by Addgene, Vectorbuilder, the Vector Core at the University of North Carolina (UNC). The AAV titers were 1.7–3.0 × 1013 genome copies (GC) ml–1 for AAV5-pEF1α-DIO-hChR2(H134R)-eYFP (Addgene, 20298-AAV5), 0.9 × 1012 GC ml–1 for AAV5-pEF1α-DIO-eYFP (UNC), 0.9 × 1012 GC ml–1 for AAV5-pEF1α-DIO-mGFP-MutCREB(S133A) (Vectorbuilder; Addgene plasmid,194642), 2.8–5.5 × 1011 GC ml–1 for AAV5-pFos-CreERT2 (Vectorbuilder; Addgene plasmid,194643), 4.6 × 1012 GC ml–1 for AAV5-pEF1α-Flex-taCasp3-TEVp (UNC), 3.9–5.9 × 1012 GC ml–1 for AAV1-pSyn-DIO-TVA-G-GFP (UNC), 5.9 × 1012 GC ml–1 for AAV5-pFos-rtTA3G (Vectorbuilder; Addgene plasmid,120309), and 5.0 × 1012 GC ml–1 for AAV5-TRE3G-tdTomato (Vectorbuilder; Addgene plasmid,194644), 4.3 × 1012 GC ml–1 for AAV5-pCaMKII-eYFP (UNC), 3.8 × 1012 GC ml–1 for rg AAV2-pCAG-tdTomato (UNC), 5.0 × 1010 GC ml–1 for AAV5-pCaMKII-Cre-GFP (UNC), 2.4–3.1 × 1013 GC ml–1 for AAV5-pSyn-DIO-hM4Di-mCherry (Addgene,44362-AAV5), 1.0 × 1012 GC ml–1 for AAV5-pEF1α-DIO-mCherry (UNC), 2.5 × 1013 for AAV5-pSyn-DIO-PSAM4-GlyR-eGFP (Addgene,119741-AAV5), and 4.1 × 1012 GC ml–1 for rg AAV2-pCAG-Cre (UNC). RV (EnvA-ΔG-RV-mCherry) was obtained from the gene transfer, targeting and therapeutics core of the Salk Institute for Biological Studies, and the titer was 1.5–2.7 × 108 transducing units per milliliter.
Surgery
Before surgery, general anesthesia was induced by placing the mice in a transparent anesthetic chamber filled with 5% isoflurane. The anesthesia was maintained during surgery with 1.5% isoflurane applied to the nostrils of the mice using a precision vaporizer. Mice were checked for the absence of the tail-pinch reflex as a sign of sufficient anesthesia. The mice were then immobilized in a stereotaxic frame with nonrupture ear bars (David Kopf Instruments), and ophthalmic ointment was applied to prevent eye drying. After an incision was made along the midline of the scalp, unilateral or bilateral craniotomies were performed using a microdrill with 0.5 mm burrs. The tips of glass capillaries loaded with virus-containing solution were placed into the prelimbic division of the mPFC (mPFC/PL) (1.9 mm rostral to bregma, 0.4 mm lateral to the midline and 1.2 mm ventral to the pial surface), cACC (0.5 mm rostral to bregma, 0.4 mm lateral to the midline and 0.9 mm ventral to the pial surface), RSC (2.2 mm caudal to bregma, 0.5 mm lateral to the midline and 0.6 mm ventral to the pial surface), BLA (1.5 mm caudal to bregma, 3.3 mm lateral to the midline and 3.4 ventral to the pial surface), DG (2.0 mm caudal to bregma, 1.1 mm lateral to the midline and 2.0 mm ventral to the pial surface) or dCA1 (2.0 mm caudal to bregma, 1.5 mm lateral to the midline and 1.2 mm ventral to the pial surface). Virus-containing solution was injected at a rate of 0.1 μl min−1 using a 10 μl Hamilton microsyringe and a syringe pump.
The total volume of injected virus-containing solution was 1.0 μl for AAV5-pEF1α-DIO-hChR2(H134R)-eYFP, 0.3–1.0 μl for AAV5-pEF1α-DIO-eYFP, 1.0 μl for AAV-pEF1α-DIO-mGFP-MutCREB(S133A), 0.5–1.0 μl for AAV1-pSyn-DIO-TVA-G-GFP, 0.5 μl for AAV5-pCaMKII-GFP and 1.0 μl for rg AAV2-pCAG-tdTomato. In Fig. 5 and Extended Data Fig. 8a–c, a mixture of AAV5-pFos-CreERT2 (0.25 μl) and AAV5-pEF1α-Flex-taCasp3-TEVp (0.25 μl) was bilaterally injected into the dorsal DG. In Fig. 6a–h, a mixture of AAV5-pFos-CreERT2 (0.5 μl) and AAV1-pSyn-DIO-TVA-G-GFP (0.5 μl) into the mPFC/PL during the first virus injection surgery. In Fig. 6f–h, a mixture of AAV5-pFos-CreERT2 (0.5 μl) and AAV5-pEF1α-DIO-hChR2(H134R)-eYFP (0.5 μl) was also injected into the dorsal CA1 during the first virus injection surgery. In Fig. 6j,k and Extended Data Fig. 8h,i, a mixture of AAV5-pFos-CreERT2 (0.25 μl) and AAV5-pEF1α-Flex-taCasp3-TEVp (0.25 μl) was bilaterally injected into the dCA1 or RSC. In Fig. 8, a mixture of AAV5-pEF1α-DIO-hChR2(H134R)-eYFP (0.33 μl), AAV5-pFos-rtTA3G (0.33 μl) and AAV5-TRE3G-tdTomato (0.33 μl) was injected into the mPFC/PL. In Extended Data Fig. 4, a mixture of AAV5-pEF1α-DIO-hChR2(H134R)-eYFP (0.4 μl) and AAV5-pCaMKII-Cre-GFP (0.2 μl) was injected into the mPFC/PL. In Extended Data Fig. 8d–g, a mixture of AAV5-pFos-CreERT2 (0.25 μl) and AAV5-pEF1α-Flex-taCasp3-TEVp (0.25 μl) was bilaterally injected into the dCA1. After injection, the capillary was left in place for an additional 5 min to allow diffusion of the virus solution and then withdrawn. The scalp incision was closed with surgical sutures, and the mice were given a subcutaneous injection of buprenorphine-containing saline (1 ml, 0.12 mg buprenorphine per kilogram body weight) for postoperative analgesia and hydration.
For the experiments described in Fig. 1h–l, AAV-DIO-ChR2-eYFP (ChR2 group) or AAV-DIO-eYFP (eYFP group) was bilaterally injected into the mPFC/PL in Fos-iCreERT2 mice, and a dual fiberoptic cannula (200 μm in diameter, numerical aperture of 0.53; Doric Lenses, DFC_200/245-0.53_3mm_DF0.9_FLT) was implanted dorsal to the mPFC/PL (1.7 mm rostral to bregma and 0.8 mm ventral to the pial surface) and secured with dental cement. To minimize light leakage during photostimulation, which can act as a visual cue, we painted all optical pathways, including the dental cement securing the cannula, with black nail polish. We verified the cannula implantation site in each animal.
Contextual fear conditioning
Mice were singly housed in their HCs a day before CFC. On the training day, mice were placed in Context A (dimension, 30 cm × 24 cm × 21 cm; stainless steel grid floor, white acrylic flat wall with black vertical stripes, white light illumination and benzaldehyde odor) within a fear conditioning chamber (Med Associates) between 9:30 AM and 10:30 AM. After 3 min, the mice received the first US (electric footshock, 0.5 mA, 2 s duration) and were given four more US with a 2-min interval except in Fig. 3e,f, in which the mice received total of two USs for CFC. The temperature in the fear conditioning chamber was 23–25 °C. One day after CFC, the mice were group-housed until 2 d before remote memory recall test. For the recall of contextual fear memories, the mice were exposed to Context A for 5 min between 9:30 AM and 10:30 AM after 1 min of acclimatization in Context A. Freezing behavior was quantified as the percentage of time immobile. Immobility for more than 2 s was counted as freezing behavior. The movement of the mice in the fear conditioning chamber was recorded using a near-infrared camera and analyzed with EthoVision XT 11 software (Noldus). In Extended Data Fig. 1a,b, some mice were trained and tested for freezing behavior in Context B (dimension, 30 cm × 24 cm × 21 cm; stainless steel grid floor, white acrylic curved wall with black horizontal stripes, white illumination and acetic acid odor).
Extinction training
In Fig. 3g–j, the mice underwent memory extinction training 28 d after CFC and were exposed to Context A for 6 min once a day for 5 d (days 1–5). For each extinction training session, freezing behavior was quantified as the percentage of time immobile in Context A after 1 min of acclimatization. Electrophysiological recordings were performed within 1 h after the last (fifth) session of the extinction training on day 5.
Activity-dependent neuronal labeling
To label neurons active during CFC, we fear conditioned Fos-iCreERT2 mice, Fos-iCreERT2 × ROSA-LSL-tdTomato mice or ROSA-LSL-tdTomato mice 2–3 weeks after virus injection surgery as described above. In some experiments (Figs. 5 and 6 and Extended Data Figs. 3, 8 and 10), we injected AAV-pFos-CreERT2 into the mPFC, DG, dCA1 or RSC to increase labeling efficiency. To open labeling window, the mice received an intraperitoneal injection of 4-OHT (H6278, Sigma-Aldrich; 50–75 mg kg–1 of body weight) under brief anesthesia with 5% isoflurane in the anesthesia chamber 10 min after CFC. 4-OHT was dissolved in DMSO (40 mg ml–1) and further dissolved in saline containing 2% TWEEN 80 in a water bath at 40–42 °C, resulting in 1 mg ml–1 4-OHT solution. To minimize neuronal labeling by background noise, mice were kept in their HCs in a quiet place for 8 h before and after 4-OHT injection.
To independently labeled mPFC neurons active during CFC and those recruited during remote memory recall in Fig. 8, we injected a mixture of AAV-DIO-ChR2-eYFP (0.33 μl), AAV-pFos-rtTA3G (0.33 μl) and AAV-TRE3G-tdTomato (0.33 μl) into the mPFC/PL in Fos-iCreERT2 mice. After CFC, the mice received a 4-OHT injection (50 mg kg–1 of body weight) to label mPFC engram neurons with ChR2-eYFP. Four weeks after CFC, the mice received an intraperitoneal injection of doxycycline hyclate (Dox; D9891, Sigma-Aldrich; 50–100 mg kg–1 of body weight) dissolved in saline at 5 mg ml–1 under brief anesthesia with 5% isoflurane and returned to the HCs. One hour after Dox injection, the mice were exposed to Context A for the recall of remote fear memories for 5 min.
In Extended Data Fig. 10, mice received an intraperitoneal injection of tamoxifen (100 mg kg–1 of body weight, Sigma-Aldrich, T5648). Tamoxifen was dissolved in corn oil (Sigma-Aldrich, C8267) at 20 mg ml–1 with nutation for 6 h in the dark at room temperature (23–25 °C). Sixteen hours after tamoxifen injection, the mice were tested for the recall of recent or remote contextual fear memory in Context A for 2 min.
In vivo optogenetic stimulation of mPFC engram neurons
In Fig. 1h–l, we injected AAV-pEF1α-DIO-ChR2-GFP (ChR2 group) or AAV-pEF1α-DIO-YFP (eYFP group) into the mPFC in Fos-iCreERT2 mice. A dual fiberoptic cannula was implanted dorsal to the mPFC/PL to illuminate mPFC neurons expressing ChR2-eYFP or eYFP. Three weeks after surgery, the mice were fear conditioned in Context A and received an intraperitoneal injection of 4-OHT 10 min later as described above. Four weeks after CFC, the optical cannula was connected to the optical cable (Doric Lenses, BFP(2)_200/220/900-0.53_0.42m_FCM-DF0.9) under brief anesthesia with 5% isoflurane. Immediately after cannula–cable connection, the mice were placed in Context B, which was the modified HC (dimension, 28 cm × 18 cm × 12 cm) placed within the fear conditioning chamber illuminated with red dim light. After full recovery from anesthesia, the activity of the mice was monitored for 3 min as the prestimulation baseline. Then, 5 Hz pulses of blue light illumination (3 ms pulses, 20 mW measured at each cannula tip) with a 450 nm laser (Opto Engine, MDL-III-450-200 mW) were applied to the mPFC/PL through an implanted optical cannula for 3 min (20-s laser on/10-s laser off, total 6 cycles) to reactivate mPFC engram neurons active during CFC. After 3 min photostimulation, the activity of the mice was monitored for 3 min as the poststimulation baseline. The mice underwent the behavioral test once per day for 3 d. In each mouse, freezing scores in the presence or absence of blue light illumination were calculated on each test day and averaged. Freezing score in the absence of blue light was calculated as the average freezing score of the pre- and poststimulation baselines.
Chemogenetic silencing of mPFC neuronal populations
To silence the activity of mPFC engram neurons active during CFC in Extended Data Fig. 3, we bilaterally injected a 1:1 mixture of 0.5 μl AAV-pFos-CreERT2 (5.5 × 1011 GC ml–1) and 0.5 μl AAV-pSyn-DIO-hM4Di-mCherry (2.4–3.1 × 1013 GC ml–1, hM4Di group) or AAV- pEF1α-DIO-mCherry (1.0 × 1012 GC ml–1, mCherry group) into the mPFC/PL. Two weeks after surgery, mice were placed in Context A within a fear conditioning chamber on the training day. After 3 min, the mice received the first US (electric footshock, 0.5 mA, 2 s duration) and were given one more US with a 2 min interval. After 10 min, the mice received an intraperitoneal injection of 4-OHT under brief anesthesia. In Extended Data Fig. 3d, we habituated the mice to handling and intraperitoneal injection by injecting saline (0.3 ml) once per day for 2 d (26 and 27 d after CFC). On the test day (28 d after CFC), the mice received an intraperitoneal injection of clozapine N-oxide hydrochloride (CNO; 3 mg kg–1 of body weight, dissolved in saline; Sigma-Aldrich, SML2304). After 45–60 min, the mice were placed in Context A and tested for the recall of remote contextual fear memory. After 1 min acclimatization, the activity of the mice was monitored for 5 min and freezing scores were calculated. In Extended Data Fig. 3e, the mice received a CNO injection 7 d after CFC and were tested for the recall of recent contextual fear memory.
To silence the activity of mPFC neurons active during remote memory recall in Extended Data Fig. 10a–d, we bilaterally injected a 1:1 mixture of 0.5 μl AAV-pFos-CreERT2 and 0.5 μl AAV-pSyn-DIO-hM4Di-mCherry (hM4Di group) or AAV-pEF1α-DIO-mCherry (mCherry group) into the mPFC/PL. Two weeks after surgery, mice were placed in Context A within a fear conditioning chamber on the training day. After 3 min, the mice received the first US (electric footshock, 0.5 mA, 2 s duration) and were given two more US with a 2-min interval. Four weeks after CFC, the mice received an intraperitoneal injection of tamoxifen (100 mg kg–1 of body weight). After 16 h, the mice were tested for the recall of remote contextual fear memory in Context A for 2 min (recall 1). After 5 d, the mice received an intraperitoneal injection of saline (0.3 ml) once per day for 2 d for habituation. On the test day (7 d after recall 1), the mice then received an intraperitoneal injection of CNO hydrochloride (3 mg kg–1 of body weight). After 45–60 min, the mice were tested for the recall of remote contextual fear memory (recall 2). After 1 min acclimatization in Context A, the activity of the mice was monitored for 5 min and freezing scores were calculated. To silence the activity of mPFC neurons active during recent memory recall in Extended Data Fig. 10e,f, mice underwent the same surgery and were fear conditioned in Context A as described above. Thirty-two hours after CFC, the mice received an intraperitoneal injection of tamoxifen (100 mg kg–1 of body weight). After 16 h, the mice were tested for the recall of recent contextual fear memory in Context A for 2 min (recall 1). After 4 weeks, we habituated the mice to handling and intraperitoneal injection by injecting saline (0.3 ml) once per day for 2 d (28 and 29 d after CFC). On the test day (30 d after CFC), the mice received an intraperitoneal injection of CNO hydrochloride (3 mg kg–1 body weight). After 45–60 min, the mice were acclimatized in Context A for 1 min and tested for the recall of remote contextual fear memory (recall 2) for 5 min.
To silence the activity of mPFC neurons projecting to the BLA in Extended Data Fig. 9d–f, we bilaterally injected 0.5–1.0 μl AAV-pCAG-Cre (4.1 × 1012 GC ml–1) into the BLA and 1.0 μl AAV-pSyn-DIO-PSAM4-GlyR-eGFP (2.5 × 1013 GC ml–1, PSAM4 group) or AAV-pEF1a-DIO-eYFP (0.9 × 1012 GC ml–1, eYFP group) into the mPFC/PL. Two weeks after surgery, mice were placed in Context A on the training day. After 3 min, the mice received the first US (electric footshock, 0.5 mA, 2-s duration) and were given four more US with a 2-min interval. Four weeks after CFC, the mice received an intraperitoneal injection μPSEM 792 hydrochloride (μPSEM, 1 mg kg–1 of body weight, dissolved in saline; Tocris, 6865). After 60 min, the mice were tested for the recall of remote contextual fear memory for 5 min after 1 min acclimatization. In Extended Data Fig. 9g, mice were fear conditioned in Context A four weeks after virus injection surgery. One day after CFC, the mice received an intraperitoneal injection of μPSEM (1 mg kg–1 body weight) and were tested for the recall of remote contextual fear memory in Context A 60 min later.
RV-mediated retrograde trans-synaptic tracing
In Fig. 6a–h, we first injected a 1:1 mixture of 0.5 μl AAV-pFos-CreERT2 (5.5 × 1011 GC ml–1) and 0.5 μl AAV-pSyn-DIO-TVA-G-GFP (3.9–5.9 × 1012 GC ml–1) into the mPFC/PL. After 2 weeks, the mice were fear conditioned in Context A and received an intraperitoneal injection of 4-OHT (50 mg kg–1 of body weight) 10 min later to label mPFC engram neurons with TVA-G-GFP. After 7 d, we injected 1.0 μl EnvA-ΔG-RV-mCherry (1.5–2.7 × 108 transducing units per ml) into the mPFC/PL, which infected TVA/G-labeled mPFC neurons and propagated trans-synaptically, resulting in mCherry expression in neurons monosynaptically projecting to mPFC engram neurons. After 10 d, brain slices were prepared for electrophysiological or histological analysis.
In Fig. 7f–j, we first injected 1.0 μl AAV-pSyn-DIO-TVA-G-GFP into the BLA in Fos-iCreERT2 mice. After 3 weeks, the mice were fear conditioned in Context A and received a 4-OHT injection 10 min later to label BLA engram neurons with TVA-G-GFP. After 2 weeks, we injected 1.0 μl EnvA-ΔG-RV-mCherry into the BLA, which infected TVA/G-expressing BLA engram neurons and propagated trans-synaptically, resulting in mCherry expression in mPFC relay neurons. After 10 d, brain slices were prepared for electrophysiological recordings.
Histology, microscopic imaging and cell counting
Acute brain slices (300 μm thick) were prepared with a vibratome (VT-1000S, Leica Biosystems) and fixed in 4% paraformaldehyde in PBS (137 mM NaCl, 2.7 mM KCl, 11.9 mM phosphate, pH 7.4) at room temperature for an hour. After fixation, slices were washed in PBS containing 0.3 % Triton X-100 (PBS-T) for 10 min and permeabilized in PBS-T at room temperature overnight. For Nissl staining, slices were incubated with Neurotrace fluorescent Nissl stain (1:40 diluted in PBS; N21479 and N21482, Thermo Fisher Scientific) for 3 h at room temperature and washed in PBS-T three times for 10 min each. After a final wash in PBS-T, Vectashield mounting medium (H-1200, Vector Laboratories) was applied to the slices, which were then covered with coverslips. Microscopic images were captured using the Leica TCS SP5 confocal system (Leica Microsystems). Images captured with different fluorescent channels were merged using ImageJ software (National Institute of Mental Health). For each mouse, the virus injection site was verified by the expression of fluorescent markers. Mice in which the target area was missed were excluded from the analysis. In Fig. 5c and Extended Data Fig. 8h,i, we captured confocal microscopic images of four representative fields (0.56 mm2 each) per mouse within the dorsal DG, dorsal CA1 or RSC, where tdT+ cells were distributed most densely. We manually counted tdT+ cells in confocal microscopic images and calculated the tdT+ cell density.
c-Fos immunohistochemistry and analysis
Brain slices of the mPFC or BLA (150 μm thick) were prepared with the vibratome and fixed 90 min after remote memory recall test in Figs. 1d–g and 5e,f and Extended Data Fig. 9a–c. After fixation in 4% paraformaldehyde in PBS for an hour, the slices were permeabilized in PBS-T at room temperature for 2 d. Brain sections were then blocked with PBS containing 5% goat serum at 4 °C for an hour. The slices were washed with PBS-T for 10 min and incubated with a polyclonal affinity purified rabbit anti-c-Fos antibody (1:1,000 diluted in PBS-T; 226003, Synaptic Systems) at room temperature for 24 h. The slices were then washed with PBS-T three times for 10 min each and incubated with goat antirabbit IgG antibody-Alexa Fluor 647 (1:200 in PBS-T; A-21246, Thermo Fisher Scientific) at 4 °C for 24 h. The slices were then washed three times with PBS-T for 10 min each and mounted on glass slides for confocal microscopic imaging. For each mouse, we captured z-series confocal microscopic images of four representative fields (0.56 mm2 each) of the mPFC/PL or the BLA and z-stacked the images using ImageJ software. We manually counted tdT+ neurons and tdT+/c-Fos+ neurons in the mPFC and BLA. c-Fos+ cells were counted using Imaris 9 software (Bitplane). We then calculated the proportion of c-Fos+ neurons among all tdT+ neurons in each mPFC and BLA field and averaged the proportions for each mouse.
Whole-cell patch-clamp recording in brain slices
For electrophysiological recording in brain slices, mice were deeply anesthetized with 5% isoflurane and decapitated. Brains were dissected quickly and chilled in ice-cold artificial cerebrospinal fluid (ACSF) containing 130 mM NaCl, 2.5 mM KCl, 2.5 mM CaCl2, 1 mM MgSO4, 1.25 mM NaH2PO4, 26 mM NaHCO3 and 10 mM glucose with 95% O2 and 5% CO2. Coronal brain slices (300 μm thick) were prepared with the vibratome. After a 1-h recovery at room temperature, slices were placed in the recording chamber and continuously perfused with ACSF at a rate of 1 ml per minute. The patch electrodes (1.5–2.2 MΩ resistance) were filled with pipette solution containing 140 mM Cs-methanesulfonate, 5 mM NaCl, 1 mM MgCl2, 10 mM HEPES, 0.2 EGTA, 2 mM MgATP, 0.5 mM NaGTP and 5 mM QX-314 chloride (Sigma-Aldrich, L1663) (290 mOsm, adjusted to pH 7.3 with CsOH). Whole-cell patch-clamp recordings were performed using a Multiclamp 700B amplifier, a Digidata 1550 digitizer, and Clampex 10 software (Molecular Devices). The temperature of recording chamber was carefully monitored to be 30–32 °C. The membrane potential was held constant at –80 mV in the voltage-clamp mode unless otherwise indicated. The liquid junction potential of 8.9 mV was corrected. Series (access) resistance was not compensated. Offline data analysis was performed using Clampfit 11 (Molecular Devices).
In Figs. 2, 4, 5g–j and 7 and Extended Data Figs. 4, 5 and 7, we prepared brain slices for electrophysiological recording within 1 h after memory recall test to minimize the effect of memory recall on synaptic strength of the engram circuits. In Fig. 8, we performed electrophysiological experiments 2 d after the remote memory recall session for sufficient tdT expression in mPFC recall neurons. In Extended Data Fig. 3c and 9e, the patch electrodes (2.5–3.0 MΩ resistance) were filled with solution containing 150 mM K-gluconate, 5 mM NaCl, 1 mM MgCl2, 10 mM HEPES, 0.2 EGTA, 2 mM MgATP and 0.5 mM NaGTP (290 mOsm, adjusted to pH 7.3 with KOH) and AP firings were induced with square pulses of depolarizing currents (100–400 pA with the increment of 100 pA, 0.5 s duration) in the current-clamp mode.
Photostimulation in brain slices
A blue collimated light-emitting diode (LED) with a peak wavelength of 470 nm (M470L3, Thorlabs) was used for photostimulation of ChR2-expressing axons. The LED was connected to the amplifier and digitizer through an LED driver (LEDD1B, Thorlabs). Brain slices in the recording chamber were illuminated through a ×40 water-immersion objective lens (Olympus LUMPLFLN 40XW) and a 450–490 nm filter (Chroma). The illumination area was 0.17 mm2 and was centered at the soma of the neuron patched for recording. The intensity and duration of photostimulation were controlled using a Digidata 1550 digitizer and pClamp 10 software (Molecular Devices). Light power in milliwatts (mW) was measured at 470 nm using a power meter (PM100A, Thorlabs) placed under the objective lens, and light power density (milliwatt/square millimeter (mW mm–2)) was calculated by dividing light power by illumination area. To evoke synaptic responses by photostimulation, we illuminated the slices every 20 s with blue light pulses of 1–5 ms duration (2.8–20.5 mW mm–2). When apparent polysynaptic activity was detected in EPSC recordings, we reduced the photostimulation intensity to prevent polysynaptic components from contributing to our measurement of AMPAR and NMDAR EPSC amplitudes. When we could not eliminate polysynaptic activity by adjusting the stimulation intensity, we terminated the experiments for the recorded neurons. Although the average peak amplitude of AMPAR EPSCs was relatively small in some neurons in Fig. 2f–h and Extended Data Fig. 2i–k, the EPSCs were reliably induced over repeated photostimulations in most mPFC neurons (Extended Data Fig. 2l). Only 26.3% of all mPFC neurons examined in these data sets (15 of total 57 neurons examined) displayed probabilistic EPSC with an average failure rate of 37.8 ± 4.8% (mean ± s.e.m.; Extended Data Fig. 2m). We excluded failures in our analysis of AMPAR EPSC and the AMPA/NMDA EPSC ratio.
AMPA/NMDA EPSC ratio
AMPAR EPSCs were recorded at −80 mV, and NMDAR EPSCs were recorded at +40 mV in voltage-clamp mode. SR-95531 (10 μM; Sigma-Aldrich, S106), a GABA-A receptor antagonist, was added to the ACSF to prevent contamination from IPSCs. For each neuron, the same photostimulation intensity and duration were used to record AMPAR and NMDAR EPSCs. To calculate the AMPA/NMDA EPSC ratio, we recorded the first set of AMPAR EPSCs (three to five traces) at −80 mV and then recorded NMDAR EPSCs (three to five traces) at +40 mV. Then, the holding potential was returned to −80 mV to record the second set of AMPAR EPSCs (three to five traces). We also recorded EPSCs at 0 mV. This recording protocol minimized the effect of time-dependent EPSC changes on the AMPA/NMDA ratio. To quantify AMPAR EPSCs, we averaged AMPAR EPSC traces recorded before and after the recording of NMDAR EPSCs and calculated the peak amplitude of averaged AMPAR EPSCs. To quantify NMDAR EPSCs, we averaged NMDAR EPSC traces and measured the mean amplitudes of the averaged NMDAR EPSCs between 47.5 ms and 52.5 ms after the onset of photostimulation. Then, we calculated the amplitude ratio of AMPAR EPSCs to NMDAR EPSCs. When the peak amplitude of AMPAR EPSCs was compared between groups, AMPAR EPSCs were induced by the photostimulation of the same light intensity (20.5 mW mm–2).
Evoked and spontaneous quantal EPSCs and IPSCs
To induce asynchronous release of glutamate from presynaptic terminals in Fig. 4d,e,h,i, Fig. 5i,j, Extended Data Fig. 6c,d, Extended Data Fig. 6g–i and Extended Data Fig. 8d–g, 2.5 mM CaCl2 in the ACSF was replaced with 4 mM SrCl2. Tetrodotoxin citrate (TTX, 1 μM; Tocris Bioscience, 1069) and 4-aminopyridine (4-AP, 1 mM; Tocris Bioscience, 0940) were added to the ACSF to prevent polysynaptic EPSCs. Photostimulation with blue light was applied to activate presynaptic axons of mPFC engram neurons and induce monosynaptic EPSCs, which were recorded at −80 mV in voltage-clamp mode in pairs of tdT+ and adjacent tdT– neurons. EPSC traces recorded 0.5–1.5 s after photostimulation were analyzed to reliably measure individual qEPSCs optimally separated from one another. We used the event detection and template search function of Clampfit 11 software to detect photostimulation-evoked quantal EPSCs (evoked qEPSCs) in traces recorded 0.5–1.5 s after photostimulation. We manually verified each event detected by the software. In Fig. 4f,g and Extended Data Fig. 6e,f, spontaneous mEPSCs were recorded at −80 mV for 3 min without photostimulation in the presence of 1 μM TTX in pairs of tdT+ and adjacent tdT– neurons.
To induce asynchronous release of GABA from presynaptic terminals in Extended Data Fig. 7, 2.5 mM CaCl2 in the ACSF was replaced with 4 mM SrCl2. TTX and 4-AP were added to the ACSF to prevent polysynaptic IPSCs. NBQX (10 μM; Tocris Bioscience, 1044) was also added to block excitatory glutamatergic transmission. Photostimulation with blue light was applied to activate presynaptic axons of local GABAergic mPFC engram neurons and induce monosynaptic quantal IPSCs (qIPSCs), which were recorded at 0 mV in voltage-clamp mode in pairs of tdT+ and adjacent tdT– neurons. Photostimulation-evoked qIPSCs (evoked qIPSCs) were detected in traces recorded 0.5–1.5 s after photostimulation, using Clampfit 11 software. We manually verified each event detected by the software.
Reproducibility
Micrographic images presented in the following figures are representative ones from experiments repeated independently: Fig. 1d (7 times), Fig. 1f (6 times), Fig.1j (13 times), Fig. 2b (22 times), Fig. 3b (10 times), Fig. 3f (15 times), Fig. 4c (14 times), Fig. 5c (11 times), Fig. 5e (9 times), Fig. 5f (9 times), Fig. 6c–e (5 times), Fig. 6g (5 times), Fig. 7c (8 times), Fig. 7h (6 times) and Fig. 8d (7 times) and Extended Data Fig. 1c (3 times), Extended Data Fig.1d (6 times), Extended Data Fig.1f (5 times), Extended Data Fig.1h (5 times), Extended Data Fig.1i (5 times), Extended Data Fig. 2b (12 times), Extended Data Fig. 3b (19 times), Extended Data Fig. 5c (4 times), Extended Data Fig. 5h (4 times), Extended Data Fig. 8h (5 times), Extended Data Fig. 8i (7 times), Extended Data Fig. 9b (5 times), Extended Data Fig. 9d (10 times) and Extended Data Fig.10b (12 times).
Statistical analysis
Data are presented as the means ± s.e.m. unless indicated otherwise. For statistical comparisons, we used Welch’s t-test or ordinary or repeated measures ANOVA. For post hoc analysis, we used Bonferroni’s simultaneous multiple comparisons. All statistical tests were two-sided. Statistical analysis was performed with Minitab 21 software (Minitab), and P < 0.05 was considered statistically significant. Details of the statistical analyses are summarized in Supplementary Tables 1 and 2.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Online content
Any methods, additional references, Nature Portfolio reporting summaries, source data, extended data, supplementary information, acknowledgements, peer review information; details of author contributions and competing interests; and statements of data and code availability are available at 10.1038/s41593-022-01223-1.
Supplementary information
Acknowledgements
We thank B.-K. Kaang (Seoul National University) for pAAV-pFos-rtTA3G construct (Addgene plasmid, 120309) and M. van den Oever (Vrije Universiteit Amsterdam) for pAAV-pFos-CreERT2 construct. We thank J. Naughton (Salk Institute for Biological Studies) for RV. This study was supported by NIH awards (R56MH113894 to J.-H.C. and R01MH118339 to J.-H.C.).
Extended data
Source data
Author contributions
J.-H.L., W.B.K. and E.H.P. performed experiments and analyzed data. J.-H.C. conceived the study, designed experiments, performed experiments, analyzed data and wrote the manuscript.
Peer review
Peer review information
Nature Neuroscience thanks Anna Beyeler, Paul Frankland, and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. This article has been peer reviewed as part of Springer Nature’s Guided Open Access initiative.
Data availability
The source data underlying all Figures and Extended Data Figures are provided as Source Data files. All data reported in this study are available from the corresponding authors upon request. Source data are provided with this paper.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Ji-Hye Lee, Woong Bin Kim, Eui Ho Park.
Extended data
is available for this paper at 10.1038/s41593-022-01223-1.
Supplementary information
The online version contains supplementary material available at 10.1038/s41593-022-01223-1.
References
- 1.Choi JH, et al. Interregional synaptic maps among engram cells underlie memory formation. Science. 2018;360:430–435. doi: 10.1126/science.aas9204. [DOI] [PubMed] [Google Scholar]
- 2.Kim WB, Cho JH. Encoding of contextual fear memory in hippocampal-amygdala circuit. Nat. Commun. 2020;11:1382. doi: 10.1038/s41467-020-15121-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Frankland PW, Bontempi B. The organization of recent and remote memories. Nat. Rev. Neurosci. 2005;6:119–130. doi: 10.1038/nrn1607. [DOI] [PubMed] [Google Scholar]
- 4.Tonegawa S, Morrissey MD, Kitamura T. The role of engram cells in the systems consolidation of memory. Nat. Rev. Neurosci. 2018;19:485–498. doi: 10.1038/s41583-018-0031-2. [DOI] [PubMed] [Google Scholar]
- 5.Albo Z, Graff J. The mysteries of remote memory. Philos. Trans. R. Soc. Lond. B. 2018;373:20170029. doi: 10.1098/rstb.2017.0029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Marr D. A theory for cerebral neocortex. Proc. R. Soc. Lond. B. 1970;176:161–234. doi: 10.1098/rspb.1970.0040. [DOI] [PubMed] [Google Scholar]
- 7.Marr D. Simple memory: a theory for archicortex. Philos. Trans. R. Soc. Lond. B. 1971;262:23–81. doi: 10.1098/rstb.1971.0078. [DOI] [PubMed] [Google Scholar]
- 8.Kim JJ, Fanselow MS. Modality-specific retrograde amnesia of fear. Science. 1992;256:675–677. doi: 10.1126/science.1585183. [DOI] [PubMed] [Google Scholar]
- 9.Frankland PW, Bontempi B, Talton LE, Kaczmarek L, Silva AJ. The involvement of the anterior cingulate cortex in remote contextual fear memory. Science. 2004;304:881–883. doi: 10.1126/science.1094804. [DOI] [PubMed] [Google Scholar]
- 10.Matos MR, et al. Memory strength gates the involvement of a CREB-dependent cortical fear engram in remote memory. Nat. Commun. 2019;10:2315. doi: 10.1038/s41467-019-10266-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Maviel T, Durkin TP, Menzaghi F, Bontempi B. Sites of neocortical reorganization critical for remote spatial memory. Science. 2004;305:96–99. doi: 10.1126/science.1098180. [DOI] [PubMed] [Google Scholar]
- 12.Kitamura T, et al. Engrams and circuits crucial for systems consolidation of a memory. Science. 2017;356:73–78. doi: 10.1126/science.aam6808. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Winocur G, Moscovitch M, Bontempi B. Memory formation and long-term retention in humans and animals: convergence towards a transformation account of hippocampal-neocortical interactions. Neuropsychologia. 2010;48:2339–2356. doi: 10.1016/j.neuropsychologia.2010.04.016. [DOI] [PubMed] [Google Scholar]
- 14.Winocur G, Moscovitch M. Memory transformation and systems consolidation. J. Int. Neuropsychol. Soc. 2011;17:766–780. doi: 10.1017/S1355617711000683. [DOI] [PubMed] [Google Scholar]
- 15.Allen WE, et al. Thirst-associated preoptic neurons encode an aversive motivational drive. Science. 2017;357:1149–1155. doi: 10.1126/science.aan6747. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Tonegawa S, Liu X, Ramirez S, Redondo R. Memory engram cells have come of age. Neuron. 2015;87:918–931. doi: 10.1016/j.neuron.2015.08.002. [DOI] [PubMed] [Google Scholar]
- 17.Kauer JA, Malenka RC, Nicoll RA. A persistent postsynaptic modification mediates long-term potentiation in the hippocampus. Neuron. 1988;1:911–917. doi: 10.1016/0896-6273(88)90148-1. [DOI] [PubMed] [Google Scholar]
- 18.Ryan TJ, Roy DS, Pignatelli M, Arons A, Tonegawa S. Memory. Engram cells retain memory under retrograde amnesia. Science. 2015;348:1007–1013. doi: 10.1126/science.aaa5542. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Kol A, et al. Astrocytes contribute to remote memory formation by modulating hippocampal-cortical communication during learning. Nat. Neurosci. 2020;23:1229–1239. doi: 10.1038/s41593-020-0679-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.de Sousa AF, et al. Optogenetic reactivation of memory ensembles in the retrosplenial cortex induces systems consolidation. Proc. Natl Acad. Sci. USA. 2019;116:8576–8581. doi: 10.1073/pnas.1818432116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Benito E, Barco A. CREB’s control of intrinsic and synaptic plasticity: implications for CREB-dependent memory models. Trends Neurosci. 2010;33:230–240. doi: 10.1016/j.tins.2010.02.001. [DOI] [PubMed] [Google Scholar]
- 22.Bekkers JM, Clements JD. Quantal amplitude and quantal variance of strontium-induced asynchronous EPSCs in rat dentate granule neurons. J. Physiol. 1999;516:227–248. doi: 10.1111/j.1469-7793.1999.227aa.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Petreanu L, Mao T, Sternson SM, Svoboda K. The subcellular organization of neocortical excitatory connections. Nature. 2009;457:1142–1145. doi: 10.1038/nature07709. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Oliet SH, Malenka RC, Nicoll RA. Bidirectional control of quantal size by synaptic activity in the hippocampus. Science. 1996;271:1294–1297. doi: 10.1126/science.271.5253.1294. [DOI] [PubMed] [Google Scholar]
- 25.Cummings KA, Clem RL. Prefrontal somatostatin interneurons encode fear memory. Nat. Neurosci. 2020;23:61–74. doi: 10.1038/s41593-019-0552-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Cummings KA, Bayshtok S, Dong TN, Kenny PJ, Clem RL. Control of fear by discrete prefrontal GABAergic populations encoding valence-specific information. Neuron. 2022;110:3036–3052. doi: 10.1016/j.neuron.2022.07.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Yang CF, et al. Sexually dimorphic neurons in the ventromedial hypothalamus govern mating in both sexes and aggression in males. Cell. 2013;153:896–909. doi: 10.1016/j.cell.2013.04.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Kim WB, Cho JH. Synaptic targeting of double-projecting ventral CA1 hippocampal neurons to the medial prefrontal cortex and basal amygdala. J. Neurosci. 2017;37:4868–4882. doi: 10.1523/JNEUROSCI.3579-16.2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Callaway EM, Luo L. Monosynaptic circuit tracing with glycoprotein-deleted rabies viruses. J. Neurosci. 2015;35:8979–8985. doi: 10.1523/JNEUROSCI.0409-15.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Magnus CJ, et al. Ultrapotent chemogenetics for research and potential clinical applications. Science. 2019;364:eaav5282. doi: 10.1126/science.aav5282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Tovote P, et al. Midbrain circuits for defensive behaviour. Nature. 2016;534:206–212. doi: 10.1038/nature17996. [DOI] [PubMed] [Google Scholar]
- 32.Winocur G, Sekeres MJ, Binns MA, Moscovitch M. Hippocampal lesions produce both nongraded and temporally graded retrograde amnesia in the same rat. Hippocampus. 2013;23:330–341. doi: 10.1002/hipo.22093. [DOI] [PubMed] [Google Scholar]
- 33.Anagnostaras SG, Maren S, Fanselow MS. Temporally graded retrograde amnesia of contextual fear after hippocampal damage in rats: within-subjects examination. J. Neurosci. 1999;19:1106–1114. doi: 10.1523/JNEUROSCI.19-03-01106.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Varela C, et al. Tracking the time-dependent role of the hippocampus in memory recall using DREADDs. PLoS ONE. 2016;11:e0154374. doi: 10.1371/journal.pone.0154374. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Goshen I, et al. Dynamics of retrieval strategies for remote memories. Cell. 2011;147:678–689. doi: 10.1016/j.cell.2011.09.033. [DOI] [PubMed] [Google Scholar]
- 36.Sutherland RJ, O’Brien J, Lehmann H. Absence of systems consolidation of fear memories after dorsal, ventral, or complete hippocampal damage. Hippocampus. 2008;18:710–718. doi: 10.1002/hipo.20431. [DOI] [PubMed] [Google Scholar]
- 37.Brodt S, et al. Fast track to the neocortex: a memory engram in the posterior parietal cortex. Science. 2018;362:1045–1048. doi: 10.1126/science.aau2528. [DOI] [PubMed] [Google Scholar]
- 38.Lesburgueres E, et al. Early tagging of cortical networks is required for the formation of enduring associative memory. Science. 2011;331:924–928. doi: 10.1126/science.1196164. [DOI] [PubMed] [Google Scholar]
- 39.Josselyn SA, Kohler S, Frankland PW. Finding the engram. Nat. Rev. Neurosci. 2015;16:521–534. doi: 10.1038/nrn4000. [DOI] [PubMed] [Google Scholar]
- 40.DeNardo LA, Berns DS, DeLoach K, Luo L. Connectivity of mouse somatosensory and prefrontal cortex examined with trans-synaptic tracing. Nat. Neurosci. 2015;18:1687–1697. doi: 10.1038/nn.4131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Chen MB, Jiang X, Quake SR, Sudhof TC. Persistent transcriptional programmes are associated with remote memory. Nature. 2020;587:437–442. doi: 10.1038/s41586-020-2905-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Frankland PW, O’Brien C, Ohno M, Kirkwood A, Silva AJ. Alpha-CaMKII-dependent plasticity in the cortex is required for permanent memory. Nature. 2001;411:309–313. doi: 10.1038/35077089. [DOI] [PubMed] [Google Scholar]
- 43.Vetere G, et al. Spine growth in the anterior cingulate cortex is necessary for the consolidation of contextual fear memory. Proc. Natl Acad. Sci. USA. 2011;108:8456–8460. doi: 10.1073/pnas.1016275108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Yang G, Pan F, Gan WB. Stably maintained dendritic spines are associated with lifelong memories. Nature. 2009;462:920–924. doi: 10.1038/nature08577. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Choi DI, et al. Synaptic correlates of associative fear memory in the lateral amygdala. Neuron. 2021;109:2717–2726 e2713. doi: 10.1016/j.neuron.2021.07.003. [DOI] [PubMed] [Google Scholar]
- 46.Cho JH, Deisseroth K, Bolshakov VY. Synaptic encoding of fear extinction in mPFC-amygdala circuits. Neuron. 2013;80:1491–1507. doi: 10.1016/j.neuron.2013.09.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Jadhav SP, Rothschild G, Roumis DK, Frank LM. Coordinated excitation and inhibition of prefrontal ensembles during awake hippocampal sharp-wave ripple events. Neuron. 2016;90:113–127. doi: 10.1016/j.neuron.2016.02.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Maingret N, Girardeau G, Todorova R, Goutierre M, Zugaro M. Hippocampo-cortical coupling mediates memory consolidation during sleep. Nat. Neurosci. 2016;19:959–964. doi: 10.1038/nn.4304. [DOI] [PubMed] [Google Scholar]
- 49.Wilson MA, McNaughton BL. Reactivation of hippocampal ensemble memories during sleep. Science. 1994;265:676–679. doi: 10.1126/science.8036517. [DOI] [PubMed] [Google Scholar]
- 50.Euston DR, Tatsuno M, McNaughton BL. Fast-forward playback of recent memory sequences in prefrontal cortex during sleep. Science. 2007;318:1147–1150. doi: 10.1126/science.1148979. [DOI] [PubMed] [Google Scholar]
- 51.Guzman SJ, Schlogl A, Frotscher M, Jonas P. Synaptic mechanisms of pattern completion in the hippocampal CA3 network. Science. 2016;353:1117–1123. doi: 10.1126/science.aaf1836. [DOI] [PubMed] [Google Scholar]
- 52.Rolls ET. The mechanisms for pattern completion and pattern separation in the hippocampus. Front. Syst. Neurosci. 2013;7:74. doi: 10.3389/fnsys.2013.00074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Courtin J, et al. Prefrontal parvalbumin interneurons shape neuronal activity to drive fear expression. Nature. 2014;505:92–96. doi: 10.1038/nature12755. [DOI] [PubMed] [Google Scholar]
- 54.Dejean C, et al. Prefrontal neuronal assemblies temporally control fear behaviour. Nature. 2016;535:420–424. doi: 10.1038/nature18630. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The source data underlying all Figures and Extended Data Figures are provided as Source Data files. All data reported in this study are available from the corresponding authors upon request. Source data are provided with this paper.