Abstract
Although predictions from the past about the future have been of major interest to current neuroscience, how past and present behavioral experience interacts at the level of a single neuron remains largely unknown. Using the pond snail Lymnaea stagnalis we found that recent experience of terrestrial locomotion (exercise) results in a long-term increase in the firing rate of serotonergic pedal (PeA) neurons. Isolation from the CNS preserved the “memory” about previous motor activity in the neurons even after the animals rested for two hours in deep water after the exercise. In contrast, in the CNS, no difference in the firing rate between the control and “exercise-rested” (ER) neurons was seen. ER snails, when placed again on a surface to exercise, nevertheless showed faster locomotor arousal. The difference in the firing rate between the control and ER isolated neurons disappeared when the neurons were placed in the microenvironment of their home ganglia. It is likely that an increased content of dopamine in the CNS masks an increased excitation of PeA neurons after rest: the dopamine receptor antagonist sulpiride produced sustained excitation in PeA neurons from ER snails but not in the control. Therefore, our data suggest the involvement of two mechanisms in the interplay of past and present experiences at the cellular level: intrinsic neuronal changes in the biophysical properties of the cell membrane and extrinsic modulatory environment of the ganglia.
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Introduction
Past experience, especially an unusual or stressful one, can be memorized by an organism and affect its “predictive models” of future events. This memory can impact the internal state and behavioral decisions for a long time. The fact, widely accepted by psychologists and human physiologists, receives notable support from studies in animal models1,2,3,4. Recently, it was demonstrated that even a comparatively simple invertebrate organism such as a mollusk uses memories of past experiences to inform decisions5,6.
Surprisingly, little is known about how past and present experiences interact at the level of a single neuron. The idea that the key mechanism of memory formation is based on altered synaptic weights in the neuronal circuit has inspired generations of experimental and theoretical work and prevails in understanding the mechanisms of brain plasticity in general. In recent years, several research papers challenged this view, arguing the existence of memory mechanisms at the level of an individual neuron7,8,9,10,11,12,13,14,15,16,17,18. However, in a mammalian neuronal network, it is often difficult to directly demonstrate the memory trace within a single neuron and elucidate its dependence on network influence. Possible involvement of all kinds of non-synaptic events, including extrasynaptic neuromodulatory influences in the mechanisms of past experience storage, has not been well elucidated.
The nervous system of mollusks provides a unique opportunity to directly investigate the interactions between a single cell and a neuronal network. Identified mollusk neurons can be isolated from the network to test whether circuit-level interactions or intrinsic cellular mechanisms underlie the phenomena observed at the system level12,19. Moreover, isolated neurons can be used as movable biosensors to monitor the extrasynaptic release of neuromodulators from certain parts of the nervous system20. This method helps elucidate whether synaptic or extrasynaptic mechanisms underlie a circuit-level interaction.
Earlier, in the mollusk L. stagnalis, we found that forced muscular locomotion (exercise) in low water produces long-term changes in the behavior and cell activity21. Previous exercise affected the behavioral state and decision-making of animals in a new environment and produced an excitatory effect on the activity of the serotonergic neurons controlling locomotion. Here, we used this simple model of the memory trace of previous exercise to clarify possible underlying mechanisms of experience storage at the cellular level. Contribution and interplay of mechanisms that are intrinsic and extrinsic to the pedal serotonergic neurons were the focus of our investigation.
We found that two hours of forced terrestrial locomotion (exercise) produced long-term changes in the electrical activity of pedal serotonergic neurons (PeA) that are preserved even after isolation of a neuron from the pedal ganglion. Two hours of “rest” in normal aquatic conditions following intense locomotion abolished the effects of exercise on serotonergic cell activity in the CNS but not after isolation of neurons from the CNS. To investigate whether the extrasynaptic microenvironment of pedal ganglia contributed to the above masking effect of CNS on the PeA neurons after rest we placed isolated control (non-exercised) and ER neurons close to their home ganglia. There were no significant differences in the activity between control and experimental isolated neurons in these conditions. When neurons isolated from control nervous systems were brought next to control and ER ganglia, a significantly stronger excitatory effect was detected in their response to the microenvironment of control ganglia than to the “rested after exercise” pedal ganglia. This finding supports our suggestion that rest after the exercise changes the pedal ganglia microenvironment content. Among other neurotransmitter ligands we tested were the effects of dopamine receptor antagonist sulpiride on PeA neurons. Sulpiride produced sustained excitation in PeA neurons from ER snails but not in the control group. Therefore, the increased content of dopamine in the CNS is likely to mask the excitatory state of PeA neurons after rest. We conclude that past experience can be stored within the neuron while the present context may control individual cell memory manifestation via changes in the neurochemical microenvironment of the neuron.
Results
Previous motor activity produces long-term excitation of serotonergic PeA neurons in the central ganglia and after complete isolation
Our previous study suggested that intense muscular crawling produces an excitatory effect on the activity of serotonergic neurons of the PeA cluster controlling cilial and muscular locomotion21. Here, we confirmed this effect on the PeA cells in a sample of sufficient size. In the CNS preparations taken from snails which were previously forced to exercise (2 hours, Fig. 1A), PeA cluster neurons (Fig. 1B, marked with color) showed significantly enhanced firing rate compared to the control preparations (n = 32, Figs 2 and 3B, left panel). The five minute parallel records of the electric activity of the PeA8 neurons from the control and exercised snail are shown in the Fig. 2A. Below are the mean firing rate measured for 25 minutes (Fig. 2B). Similar differences can be seen also in Fig. 3A depicting the process of isolation of control and exercised neurons. Statistical analysis is provided in Fig. 3B, left panel. The differences could be observed for several hours after CNS isolation (up to 4 hours).
PeA neurons, isolated from the ganglia of exercised or control animals and kept in the physiological solution (Fig. 3A), preserved the electrical differences (n = 29, Fig. 3B, right panel). Neurons isolated from exercised snails had a depolarized membrane potential in comparison to those taken from control specimens (−50 ± 4 mV versus control −58.9 ± 4.7 mV, p < 0.01) and a higher rate of firing (Fig. 3B,C). These differences could be observed for at least one hour following their isolation.
Experimental and control neurons hyperpolarized and decreased their firing rate after their isolation (Fig. 3A,B). This observation supports previous findings suggesting strong excitatory influence of chemical microenvironment on PeA neurons in intact conditions12,22,23,24. PeA neurons have long neurites (up to 1 cm), and so during the isolation they are moved from the ganglia at least a distance of two ganglia diameters. It has been previously established that at this distance, no influence of the chemical microenvironment of ganglia is detected20,22,23. Therefore, isolated neurons lose both the morphological and chemical connections.
These data indicate that the experience of intense locomotion changes the biophysical properties of PeA neurons. These changes can be preserved even after the isolation of neurons from their functional network, i.e. after loss of of synaptic connections and distal parts of their neurites.
Excitation of PeA neurons after exercise is abolished by 2 hours of rest in the CNS but not after complete cell isolation
How long is this single cell memory maintained? In order to answer this question we first let snails “rest” for two hours after the exercise. No difference was observed in the firing rate of the PeA neurons in the ganglia dissected from exercised-rested (ER) and non-exercised control snails (Fig. 4A). However, when neurons were isolated, there was the difference in the firing rate between the control and the ER PeA cells (Fig. 4A, right panel). The neurons from the control preparations (n = 23) responded to isolation with stronger hyperpolarization compared to the neurons from ER snails (n = 20) (Figs 4B and 5). The change in MP was significantly different between the two groups: + 2.3 ± 3 mV in the ER group in contrast to −10 ± 3 mV in the control group; p = 0.003) as shown in Fig. 5B. This opposite changes in MP of ER and control neurons after isolation resulted in significant differences in the firing rate between isolated neurons from the control and exercised-rested snails (Fig. 4A).
Therefore, we encountered “hidden” differences in the endogenous electrical activity of neurons from snails with past experience of intense locomotion. What are the factors that mask these differences when neurons are recorded in the CNS remained unknown.
Extrasynaptic release from the pedal A cluster of the control and exercised-rested snails differs
Our experiments indicate that either the microenvironment or synaptic connections or both might be responsible for PeA masking in the CNS of ER snails. In the first series of experiments we tested the possible role of microenvironment: isolated neurons were moved back to their initial position in the ganglia. In accordance with the earlier data12,22,23,24, the control environment excited previously isolated control neurons (n = 14, Fig. 6). In contrast, already excited ER neurons (ER, n = 8) were not further excited by their microenvironment (Fig. 6B). In 5 out of 8 experiments, hyperpolarizing effect of ER microenvironment on ER isolated neurons was observed (Fig. 6A). A comparison of four groups, i.e., isolated control neurons in physiological solution(C), isolated control neurons near the control pedal ganglia (C near C), isolated ER neurons in physiological solution (ER), and isolated ER neurons in their home microenvironment (ER near ER), revealed a highly significant difference between group (C) and the other three groups at p level < 0.001 in all three cases. No difference between groups (ER), (ER near ER) and (C near C) was seen (Fig. 6B). Therefore, the influence of microenvironment might explain why neurons with different endogenous activity fire with a similar rate when recorded in the nervous system.
To confirm the suggested differences in the microenvironment content between ER and control ganglia, we used isolated control cells placed first near the control and then near the ER PeA cluster (the order was different in different experiments) as shown in Figs 1B and 7. In all 9 experiments with 9 neurons, the excitatory effect of the chemical microenvironment of the control pedal ganglia was stronger than that of the ER pedal ganglia. Figure 7A illustrates the responses of the same isolated neuron to the control and to the ER ganglia. An obviously weaker response to the ER pedal A cluster can be seen. There was a statistically significant difference between the effects of chemical microenvironment of control and ER pedal ganglia (Wilcoxon paired test, p = 0.02, z = 2.2, Fig. 7B). However, in no control cell an inhibitory effect of the ER microenvironment detected, in contrast to the previous series in which the firing frequency of 5 out of 8 ER isolated neurons was reduced in the ER microenvironment. The responses of the ER isolated neurons to control and ER ganglia microenvironment were tested in two experiments only. In both, they had higher rate of firing near the C ganglia.
Finally, we checked whether the weaker excitatory effect of pedal microenvironment was induced by rest rather than intense locomotion itself. The responses of the isolated control neuron placed near the PeA cluster of the control and exercised (E) snails were examined (n = 13). In this series of experiments several neurons were silent after isolation (Supplement, Fig. 1). As a result, we used the difference in the membrane potential as an indicator of the neuronal response to the ganglia microenvironment. The excitatory response was significantly stronger near the pedal ganglia of E snails (Supplement, Fig. 1). A similar tendency (not significant at p = 0.05) was observed with active cells isolated from the nervous system of exercised snails (n = 5, Supplement, Fig. 2).
Therefore, we conclude that changes in extrasynaptic release may contribute to the masking effect, described above, of rest on the firing rate of PeA neurons in CNS preparations. Although it is unlikely that extrasynaptic release completely explains the differences in the activity of neurons in intact and isolated state (either in the control, or in the experimental conditions), its impact on neuron activity in the described situation is evident.
The dopamine receptor antagonist sulpiride unmasks the differences between the control and exercise-rested PeA neuron states in the isolated CNS
In looking for possible neurotransmitters that might explain the masking effect in the CNS of ER snails we considered the dopaminergic system. Opposite effects of serotonin and dopamine on locomotor behavior have been found in several mollusk species25,26,27. To test possible involvement of dopamine, the dopamine antagonist sulpiride (0.01–0.1 mM) was added to the dish containing CNS preparations isolated from the control and ER snails. This drug has repetitively been demonstrated to antagonize the dopamine effects in Lymnaea28,19. The PeA neurons activities were recorded simultaneously in the control and in the ER preparations prior to the drug application, during 5 minutes of sulpiride application and 20–30 minutes of washing.
Sulpiride had no effect on the control PeA neurons in the CNS preparation (n = 9; Fig. 8A). Remarkably, in the CNS preparations from ER snails, it produced an excitatory effect on the PeA neurons (n = 9, Fig. 8A). These results support the data obtained in the experiments with neuron isolation suggesting increased endogenous excitation of the PeA cells in ER snails. They suggest that there is a tonic dopamine release that leads to a continuous reduction of PeA neuron activity in ER animals.
To further verify the possibility that excitatory effect of sulpiride relies on disinhibition of neurons hyperpolarized by dopamine, dopamine effects on activity of PeA neurons were tested in control preparations. Dopamine (0.01 mM) decreased the firing rate of PeA neurons (n = 10, Fig. 8B).
Whether dopamine acts on the PeA neurons directly or indirectly, or both, remained unknown. Our data indicate that it may act directly on the isolated PeA neurons (n = 10, Fig. 8C). In these experiments, dopamine at the same concentration of 0.01 mM produced hyperpolarization as well. Recent findings also suggest that the effects of exercise and rest after exercise can be reproduced in isolated paired pedal ganglia (Sultanakhmetov, Master’s Thesis, 2018). Together these data suggest that dopamine might indeed be responsible for the changes observed in the microenvironment of these ganglia in ER snails.
We conclude that an increased tone of the dopaminergic system in the CNS of ER snails is likely to be responsible for masking the excitatory state of the serotonergic PeA neurons. The precise mechanisms of its action as well as the possible cellular sources of an increased dopamine tone during ER state need further investigation.
ER snails show faster locomotor arousal on dry surface
The ambiguous state, characterized by both keeping memory of the past and adjusting to the present context, is interesting in its potential to return rapidly to a previous state of enhanced activity, if necessary. We tested whether locomotor behavior of the ER and control snails (n = 30; 30) differs when animals are taken from water and placed on a dry surface. We used the same procedure as in the earlier paper21. Snails were placed in the asymmetrically lit dry arena. Two minutes later, their speed of locomotion was analyzed for four minutes with the Ethovision program. ER snails showed faster locomotion than the control ones with the median speed 2.5 cm/min versus 1.9 cm/min in the control group (z = 2.18; p < 0.03; Mann-Whitney U Test). This finding is in line with the suggestion that the endogenous excitation of PeA neurons in the ER snails may underlay a faster behavioral switch from aquatic to terrestrial crawling.
Discussion
Predictions from the past about the future are important for survival29,30. However, relying on the past may turn out to be erroneous in certain circumstances. How should one know when it is time to stop relying on the past and to make models of the future relying on the present? How should one make a decision when the past and present experiences contradict? This task is very difficult and very important for all living organisms, with no exception. It is the cause with some psychological and even some psychiatric problems in humans.
In very simple and common cases, the longer the circumstances related to the past experience are absent, the more likely an organism will exclude them from its “predictive model of the external world”. Here, we addressed the questions of how past and more recent experiences interact on the level of a single neuron. In the gastropod snail Lymnaea stagnalis, which is useful for studies of freshly isolated neurons, we found that a single isolated neuron is capable of storing the memory about its activity during the past behavioral state. Second, we discovered that this persistent memory can be masked by the nervous system when newer information becomes available. We propose that the neuroactive chemical microenvironment and specifically, an increased content of dopamine, plays a role in the adjustment of serotonergic neurons that were modified by previous experience to novel circumstances.
The PeA cluster serotonergic neurons are involved in the modulatory control of locomotion. The cells deliver serotonin to the ciliated epithelium and foot muscles of Lymnaea31,32. Excitation of pedal serotonin neurons is associated with the locomotor arousal (swimming) in the marine gastropod mollusks Aplysia fasciata and Clione limacina33,34,35. In several distantly-related mollusk species, the serotonergic neurons have excitatory chemical and electrical interconnections. It was suggested that they form a “distributed arousal network” that may underlie the locomotor arousal of the animal36,37,38,39. Since the extrasynaptic release of serotonin from the PeA neurons within the central ganglia of Lymnaea was found, a wider neuromodulatory role was ascribed to these cells12,20,22,23. Serotonin is known to facilitate many forms of behavior beyond locomotion, including cognitive traits such as learning and memory in mollusks18,39,40.
Here, we found that previous motor load is represented in the electrical properties of isolated serotonergic neurons. Earlier, we demonstrated a similar representation of hunger in the activity of isolated PeA neurons12. Locomotor arousal is typically observed in hungry animals, including mollusks41. It results in random or directional food-seeking behavior. The increased excitatory state of “hungry” and “exercised” PeA neurons corresponds to their functional role in natural behavior. Together, these findings clearly show that memory of recent activity is stored in the neurons and, at least in some stages, does not require network involvement.
A cellular “set of memory” has been broadly discussed during recent years. The common point of view that memory is represented in synaptic strength has been criticized recently by several authors. Memory was suggested to be encoded on the inside of neurons7,8,9,10,11,12,13,14,15,16,17,18,42,43,44, in the cellular microenvironment45,46, and in unique neuronal ensembles47. In mollusks, a persistent depolarization of membrane potential was demonstrated to contribute to a long-term associative memory trace16,17,18.
Our results, on the one hand, provide the strongest support to the idea that the memory of previous activity can be stored inside of the neuron. On the other hand, we unveil the complex interactions between a single neuronal memory and a system “knowledge” of the current situation. We demonstrated that memory of past activity is preserved within a neuron and does not require ensemble effects at a certain stage. In comparison to previously reported forms of memory revealed in delicate changes of synaptic strength, our “excited after isolation” neuron is probably one of the boldest and simple examples of how previous experience can be stored.
The masking effect of the nervous system on the increased activity of ER neurons is probably the most interesting finding presented in this work. The difference in the firing rate between the control and the ER PeA neurons not seen in the ganglia became apparent when the neurons were isolated. The membrane potential of ER neurons hyperpolarized more weakly than the membrane potential of control neurons after isolation, which is consistent with and partially explains this effect. These findings suggest that not only do the inner properties of pedal neurons differ between the control and ER snails, but so does the impact of the neuron network on these cells. This impact seems to be able to compensate for the differences between the control and ER neurons. It is likely that dopamine may play a key role in this masking effect, since its antagonist produced excitation in the PeA neurons from ER snails, and had no effect in the control group. In other words, we encountered a peculiar situation characterized by the seemingly equal activity of neurons in the CNS, which was maintained by different mechanisms.
This finding imposes an obvious question: what is the physiological reason for keeping locomotor neurons in an internally excited state under external inhibition in ER animals? We suggested that this ambiguous state, characterized by both keeping memory of the past and adjusting to the present context, is interesting in its potential to return rapidly to a previous state of enhanced activity, if necessary. Indeed, ER snails showed faster locomotor arousal when they were placed again in terrestrial conditions. This finding points to possible benefits of this ambiguous state for transition from aquatic to terrestrial locomotion. It also agrees with presumption that the memory of the past is still used for predictive models of a possible future.
There is a growing understanding that the neuromodulatory microenvironment of a network is not less important than the connections in the functional physiology of the nervous system. The role of neuromodulation in neural mechanisms underlying decision-making has been demonstrated in many studies48,49. It is well established that in addition to synaptic interactions, there is a broad range of nonsynaptic chemical communication between neurons. Extrasynaptic neurotransmitter release is proven to play an important role in the nervous system of mammals50,51,52,53,54,55 and various invertebrates19,20,22,23,24,56,57. Recently, changes in the extrasynaptic modulatory state were shown to be associated with different behavioral states12. Still, we know surprisingly little about the contribution of nonsynaptic communication to memory formation.
Here, for the first time, we found evidence that changes in the extrasynaptic release can contribute to a peculiar masking effect of the network on the persistent memory of past behavioral experience in individual neurons. We found that the difference in the firing rate observed between control and ER isolated neurons was masked when these neurons were placed in their home microenvironment. This effect is remarkably consistent with the absence of difference between these neurons when the measurement are made while these are in the ganglia. The control isolated neurons with lower endogenous activity responded to their home ganglia microenvironment with profound excitation, while the ER isolated neurons with a higher firing rate either demonstrated the opposite inhibitory response to their ganglia microenvironment or a significantly weaker excitatory one.
The difference in the extrasynaptic release between the control and ER ganglia was confirmed when the same cells were used to detect the activity of the microenvironment of both preparations. They similarly demonstrated significantly weaker excitation near the ER ganglia. It can be noticed, however, that in this experimental series we never observed the inhibitory effect of the ER ganglia. This may potentially indicate that not only the microenvironment but also the receptiveness of the neurons from the ER snails was changed. It was not the aim of the present study to establish this, but it can be an interesting task for further investigation.
Finally, we checked whether the shift in the balance between the excitatory-inhibitory components in the ER microenvironment was induced by the return to aquatic conditions. We compared the responses of isolated neurons near the control and the exercised (E) ganglia. The effect on the E and ER ganglia microenvironment was completely different. The neurons detected an even stronger excitatory influence of the E ganglia compared to that of the control ones. This result agrees with the idea that an increase in the inhibitory influence of the microenvironment is induced by a cessation of intense locomotion and a return to aquatic conditions.
In conclusion, we show the involvement of the two mechanisms in the interplay of past and present experiences at the cellular level (Fig. 9): (1) intrinsic neuronal changes in the biophysical properties of the cell membrane and (2) extrinsic neuronal changes in the extrasynaptic microenvironment of the pedal ganglia. Exercise results in an enhanced firing rate of individual neurons and a stronger excitatory influence of the microenvironment, while rest following exercise enhances the inhibitory extrasynaptic influence (presumably via dopamine release) on still-excited individual neurons. The latter results in nearly equal activity of the control and the ER neurons in the CNS. However, this similarity is explained by totally different states of both the neurons and their chemical environment. The results agree with the idea proposed for central pattern generators and supported by mathematical modeling that “multiple solutions produce similar outputs”58,59. We hypothesize that the same output (behavior) can be produced by circuits with different combinations of neuron parameters depending upon the past experience of the animal and its expectations about the future. ‘The right combination’ may facilitate the transition from the current behavior to the predicted one.
Materials and Methods
Animals
Mature snails Lymnaea stagnalis were obtained from a breeding colony. The colony originated from mixed groups of wild animals collected in the Oka river, Moscow region, in 1992–1998. Animals were kept in dechlorinated tap water at room temperature and fed on lettuce ad libitum.
Enhanced motor activity was evoked as in21 by putting snails for two hours into a 25 × 50 cm tank filled with 1 mm of water which prevented the mollusks from drying but stimulated them to perform intense terrestrial-like muscular locomotion (Fig. 1A). Control snails were kept in deep water so they could use ciliary locomotion for two hours in similar light conditions. “Rest after exercise” was evoked by putting snails for two hours after motor activity into a cylinder filled with water. The experimental and control animals were chosen at random and tested in one experiment at the same time.
Electrophysiological experiments and neuron isolation
Standard procedure described previously in12,19 was used. In each experiment, the central ganglia were dissected from two animals (control and experimental), anesthetized with an injection of 0.1 mM MgCl2. The central ganglia (with exception of buccal ones) were placed into a 2.5 mg/ml solution of pronase E (Sigma) for 15 minutes, washed in a standard snail Ringer’s solution (50 mM NaCl, 1.6 mM KCl, 4 mM CaCl2, 8 mM MgCl2, 10 mM Tris, pH 7.6), and pinned to a Sylgard in a four-milliliter chamber with a distance of approximately 1 cm between preparations. The connective tissue sheath was then removed from the pedal ganglia.
Visual identification of the PeA2/A8 neurons was performed based on their location, size and color. Other neurons were randomly taken from serotonergic Pedal A (PeA) clusters (Fig. 1B, marked with color) to assess whether the observed effects of motor load were common to different cluster members. In terrestrial snails the serotonergic neurons of the pedal cluster were shown to produce different secreted and non-secreted peptides60.Whether Lymnaea PeA cells co-express different peptides is unknown.
The neuron that was selected for examination was impaledpenetrated with a standard glass microelectrode (10–20 M filled with three molar KCl). A standard setup for microelectrode recording was used. The electrophysiological recordings were stored in computer files using a home-developed program.
For neuron isolation, we utilized previously developed methods61,62. The neuron was gently pulled out of the tissue using the intracellular microelectrode until separation of the proximal neurite from the neuropil was achieved. The electrical activity of the cell was monitored during isolation. The cells that demonstrated membrane injury were not used for the experiments.
Investigation of modulatory effects of the pedal ganglia microenvironment on the electric properties of PeA neurons
Our approach was developed based on the earlier methods for the detection of extrasynaptic release from the ganglia of Lymnaea12. Preparations of central ganglia were used in one experiment and placed in the same chamber with a distance of approximately 1 cm between them. One nervous system was used as a source of isolated neurons and was treated as above (the neuron isolation procedure). The positions of control and experimental preparations in the chamber were altered in different experiments, and the investigator was not aware of where the control and experimental preparations were placed (“blind procedure”). The connective tissue sheath was removed from the pedal ganglia.
The isolated neuron penetrated with the microelectrode was moved away from the pedal ganglion and placed in the middle between the control and experimental pedal ganglia for two minutes (Fig. 1B). After that two approaches were used. (1) Neurons isolated from the control and experimental preparations were moved back close to their positions in their home ganglia. (2) Isolated neuron was first moved to the pedal cluster of experimental preparation at a distance less than half-cell size (20–25 µm) and kept in this position for up to two minutes, placed at the distance from the ganglia, then moved to the PeA cluster of the control preparation of ganglia. The procedure was repeated several times.
Data analysis
The significance of the differences was subjected to the Mann-Whitney test (the differences in spike frequency and membrane potential between control and experimental neurons in situ and in isolation) or by the paired Wilcoxon signed-rank test for dependent samples (the differences in the activity of neurons near the control and experimental ganglia) or the multiple comparisons test (Kruskal-ANOVA for independent and Friedman ANOVA for dependent variables) for multiple comparisons with posthoc tests using the STATISTICA program (StatSoft Inc.). All values are given as medians with the upper and lower quartiles.
Highlights
We addressed the question of how past and present behavioral experience interacts at the level of a single neuron. Using the pond snail Lymnaea stagnalis, we found that a single isolated neuron is capable of storing the memory about its activity during the past behavioral state. However, this persistent memory of an individual neuron can be masked by the nervous system when newer information becomes available. We show that the chemical microenvironment plays a role in the adjustment of neurons that were modified by previous experience to novel circumstances.
Data Availability
The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Enkel, T. et al. Ambiguous-cue interpretation is biased under stress- and depression-like states in rats. Neuropsychopharmacology 35, 1008–1015 (2010).
Harding, E. J., Paul, E. S. & Mendl, M. Animal behaviour: Cognitive bias and affective state. Nature 427, 312 (2004).
Lak, A. et al. Orbitofrontal cortex is required for optimal waiting based on decision confidence. Neuron 84, 190–201 (2014).
Miyazaki, K. et al. Reward probability and timing uncertainty alter the effect of dorsal raphe serotonin neurons on patience. Nat Commun 9, 2048 (2018).
Mita, K. et al. What are the elements of motivation for acquisition of conditioned taste aversion? Neurobiol Learn Mem 107, 1–12 (2014).
Ito, E. et al. Memory block: a consequence of conflict resolution. J Exp Biol 218(Pt 11), 1699–704 (2015).
Gallistel, C. R. & Matzel, L. D. The neuroscience of learning: beyond the Hebbian synapse. Annu Rev Psychol 64, 169–200 (2013).
Chen, S. et al. Reinstatement of long-term memory following erasure of its behavioral and synaptic expression in Aplysia. Elife 3, e03896 (2014).
Gallistel, C. R. & Balsam, P. D. Time to rethink the neural mechanisms of learning and memory. Neurobiol Learn Mem 108, 136–144 (2014).
Johansson, F., Jirenhed, D. A., Rasmussen, A., Zucca, R. & Hesslow, G. Memory trace and timing mechanism localized to cerebellar Purkinje cells. Proc Natl Acad Sci USA 111, 14930–14934 (2014).
Johansson, F. & Hesslow, G. Theoretical considerations for understanding a Purkinje cell timing mechanism. Commun Integr Biol 7, e994376 (2014).
Dyakonova, V. E. et al. The activity of isolated neurons and the modulatory state of an isolated nervous system represent a recent behavioural state. J Exp Biol 218, 1151–1158 (2015).
Ryan, T. J., Roy, D. S., Pignatelli, M., Arons, A. & Tonegawa, S. Engram cells retain memory under retrograde amnesia. Science 29, 1007–1013 (2015).
Johansson, F., Hesslow, G. & Medina, J. F. Mechanisms for motor timing in the cerebellar cortex. Curr Opin Behav Sci 8, 53–59 (2016).
Nathan, S. R. et al. Reactivation of latent working memories with transcranial magnetic stimulation. Science 354, 1136–1139 (2016).
Gaĭnutdinov, K. L., Andrianov, V. V., Gaĭnutdinova, T. K. & Tarasova, E. A. The electrical characteristics of command and motor neurons during the acquisition of a conditioned defensive reflex and the development of long-term sensitization in snails. Zh Vyssh Nerv Deiat Im I P Pavlova 48, 1004–1013 (1998). Russian.
Gainutdinov, K. L., Chekmarev, L. J. & Gainutdinova, T. H. Excitability increase in withdrawal interneurons after conditioning in snail. Neuroreport 9, 517–520 (1998).
Jones, N. G., Kemenes, I., Kemenes, G. & Benjamin, P. R. A persistent cellular change in a single modulatory neuron contributes to associative long-term memory. Curr Biol 13, 1064–1069 (2003).
Dyakonova, T. L. & Dyakonova, V. E. Coordination of rhythm-generating units via NO and extrasynaptic neurotransmitter release. J Comp Physiol A 196, 529–541 (2010).
Chistopol’skii, I. A. & Sakharov, D. A. Isolated neurons as biosensors responding to the release of neuroactive substances. Neurosci Behav Physiol 38, 703–705 (2008).
Korshunova, T. A., Vorontsov, D. D. & Dyakonova, V. E. Previous motor activity affects transition from uncertainty to decision-making in snails. J Exp Biol 219, 3635–3641 (2016).
Chistopol’skii, I. A. Interaction of neurons at the level of cell bodies in the snail CNS. Heterogeneity of the neuroactive environment. Neurosci Behav Physiol 35, 737–740 (2005).
Chistopol’skii, I. A. & Sakharov, D. A. Non-synaptic integration of the cell bodies of neurons into the central nervous system of the snail. Neurosci Behav Physiol 33, 295–300 (2003).
Dyakonova, V. E. et al. The activity of isolated snail neurons controlling locomotion is affected by glucose. Biophysics 11, 55–60 (2015).
Norekian, T. P. The effect of dopamine and serotonin on the neurons of the pteropod mollusk that control tail movements in the development of a passive defense reaction. Neirofiziologiia 22, 269–272 (1990). Russian.
Pavlova, G. A. et al. Effects of serotonin, dopamine and ergometrine on locomotion in the pulmonate mollusc Helix lucorum. J Exp Biol 204, 1625–1633 (2001).
Tsyganov, V. V., Vorontsov, D. D. & Sakharov, D. A. Phasic coordination of locomotion and respiration in a freshwater snail Lymnaea: transmitter-dependent modifications. Doklady Akademii Nauk 395, 103–105 (2004).
Spencer, G. E., Lukowiak, K. & Syed, N. I. Transmitter-receptor interactions between growth cones of identified Lymnaea neurons determine target cell selection in vitro. J Neurosci 20, 8077–8086 (2000).
Friston, K. The free-energy principle: a unified brain theory? Nat Rev Neurosci. 11, 127–138 (2010). Review.
Friston, K. A. Free Energy Principle for Biological Systems. Entropy 14, 2100–2121 (2012).
Syed, N. I. & Winlow, W. Morphology and electrophysiology of neurons innervating the ciliated locomotor epithelium in Lymnaea stagnalis (L.). Comp Biochem Physiol. 93A, 633–644 (1989).
Longley, R. D. & Peterman, M. Neuronal control of pedal sole cilia in the pond snail Lymnaea stagnalis appressa. J Comp Physiol A 199, 71–86 (2013).
Kabotyanski, E. A., Milosevich, I. & Sakharov, D. A. Neuronal correlates of 5-hydroxytryptophan-induced sustained swimming in Aplysia fasciata. Comp Biochem Physiol 95, 39–44 (1990).
Kabotyanski, E. A. & Sakharov, D. A. Neuronal correlates of the serotonin-dependent behavior of the pteropod mollusk Clione limacina. Neurosci Behav Physiol 21, 422–435 (1990).
Satterlie, R. A. Serotonergic modulation of swimming speed in the pteropod mollusk Clione limacina. II. Peripheral modulatory neurons. J Exp Biol 198, 905–916 (1995).
Fickbohm, D. J. & Katz, P. S. Paradoxical actions of the serotonin precursor 5-hydroxytryptophan on the activity of identified serotonergic neurons in a simple motor circuit. J Neurosci 20, 1622–1634 (2000).
Marinesco, S., Kolkman, K. E. & Carew, T. J. Serotonergic modulation in aplysia. I. Distributed serotonergic network persistently activated by sensitizing stimuli. J Neurophysiol 92, 2468–2486 (2004).
Zakharov, I., Ierusalimski, V. & Balaban, P. Pedal serotonergic neurons modulate the synaptic input of withdrawal interneurons of Helix. Invertebrate Neurosci 1, 41–52 (1995).
Gillette, R. Evolution and function in serotonergic systems. Integr. Comp. Biol. 46, 838–846 (2006).
Balaban, P. M., Vinarskaya, A. K., Zuzina, A. B., Ierusalimsky, V. N. & Malyshev, A. Y. Impairment of the serotonergic neurons underlying reinforcement elicits extinction of the repeatedly reactivated context memory. Sci Rep. 6, 36933 (2016).
Sakharov, D.A. Integrative function of serotonin common to distantly related invertebrate animals. In The Early Brain (ed. Gustaffson, M. and Reuter, M.), 73–88. Abo Turku, Finland: Akademi Press (1990).
Sandler, U. & Tsitolovsky, L. Neural Cell Behavior and Fuzzy Logic. Springer, 2008. — 478 с
Korneev, S. A. et al. A CREB2-targeting microRNA is required for long-term memory after single-trial learning. Sci Rep 8, 3950 (2018).
Nikitin, E. S. et al. Persistent sodium current is a nonsynaptic substrate for long-term associative memory. Curr Biol 18, 1221–1226 (2008).
Lasek, A. W., Chen, H. & Chen, W. Y. Releasing Addiction Memories Trapped in Perineuronal Nets. Trends Genet 34, 197–208 (2018).
Riga, D. et al. Hippocampal extracellular matrix alterations contribute to cognitive impairment associated with a chronic depressive-like state in rats. Sci Transl Med. 9, 421 (2017).
Zenke, F., Agnes, E. J. & Gerstner, W. Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks. Nature communications 6, 6922 (2015).
Palmer, C. R. & Kristan, W. B. Jr. Contextual modulation of behavioral choice. Curr Opin Neurobiol 21, 520–526 (2011).
Bargmann, C. I. Beyond the connectome: how neuromodulators shape neural circuits. Bioessays 34, 458–465 (2012).
Bunin, M. A. & Wightman, R. M. Quantitative evaluation of 5-hydroxytryptamine (serotonin) neuronal release and uptake: an investigation of extrasynaptic transmission. J Neurosci 18, 4854–4860 (1998).
Vizi, E. S., Kiss, J. P. & Lendvai, B. Nonsynaptic communication in the central nervous system. Review. Neurochem Int 45, 443–451 (2004).
Sem’yanov, A. V. Diffusional extrasynaptic neurotransmission via glutamate and GABA. Neurosci Behav Physiol 35, 253–266 (2005).
Agnati, L. F. et al. Volume transmission and wiring transmission from cellular to molecular networks: history and perspectives. Review. Acta Physiol (Oxf) 187, 329–344 (2006).
Dash, M. B., Douglas, C. L., Vyazovskiy, V. V., Cirelli, C. & Tononi, G. Long-term homeostasis of extracellular glutamate in the rat cerebral cortex across sleep and waking states. J Neurosci 29, 620–629 (2009).
Bruns, D. & Jahn, R. Real-time measurements of transmitter release from single synaptic vesicles. Nature 377, 62–65 (1995).
Chen, G., Gavin, P. F., Luo, G. & Ewing, A. G. Observation and quantitation of exocytosis from the cell body of a fully developed neuron in Planorbis corneus. J Neurosci 15, 7747–7755 (1995).
De-Miguel, F. F. & Trueta, C. Synaptic and extrasynaptic secretion of serotonin. Cell Mol Neurobiol 25, 297–312 (2005).
Prinz, A. A., Bucher, D. & Marder, E. Similar network activity from disparate circuit parameters. Nat. Neurosci. 7, 1345–1352 (2004).
Marder, E. & Taylor, A. L. Multiple models to capture the variability in biological neurons and networks. Nat Neurosci. 14, 133–138 (2011).
Poteryaev, D. A., Zakharov, I. S., Balaban, P. M., Uvarov, P. N. & Belyavsky, A. V. Characterization of a cDNA clone encoding pedal peptide in the terrestrial snail. Neuroreport 8, 3631–3635 (1997).
Dyakonova, T. L. Neurochemical mechanisms of the burst activity regulation in isolated endogenous oscillators of a snail: the role of monoamines and opioid peptides. Neirofisiologia (Kiev) 23, 472–480 (1991).
Dyakonova, V. E., Chistopolsky, I. A., Dyakonova, T. L., Vorontsov, D. D. & Sakharov, D. A. Direct and decarboxylation-dependent effects of neurotransmitter precursors on firing of isolated monoaminergic neurons. J Comp Physio. A 195, 515–527 (2009).
Acknowledgements
We thank Dr. Dmitry Vorontsov and Dr. Igor Zakharov for their help. This work was supported by the RFBR grants 17–29–07029, 17–04–01827, 19–04–00628; it was conducted under the IDB RAS Government basic research program No. 0108–2018–0002 and funded by the Presidium of the Russian Academy of Sciences, Program No. 42 «Fundamental research for the development of medical technologies».
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V.D. and D.S. wrote the manuscript, V.D. and T.D. performed electrophysiological experiments, V.D. and T.D. planned the experiments, G.S. performed pharmacological experiments with sulpiride and dopamine, M.M. performed behavioral experiments
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Dyakonova, T.L., Sultanakhmetov, G.S., Mezheritskiy, M.I. et al. Storage and erasure of behavioural experiences at the single neuron level. Sci Rep 9, 14733 (2019). https://doi.org/10.1038/s41598-019-51331-5
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DOI: https://doi.org/10.1038/s41598-019-51331-5
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