A new paradigm of learned cooperation reveals extensive social coordination and specific cortical activation in mice

Cooperation, in which multiple participants act together for mutual benefits [1], is critical to the survival and evolution of many species, including humans [1, 2]. In the laboratory, animals can also learn to accomplish cooperative tasks. Monkeys can learn to cooperatively control the movement of a cursor on a screen [3], and rodents can learn tasks such as coordinated shuttling and nose-poking [4,5,6]. Although mice demonstrate relatively less cooperation [6], they do exhibit various prosocial behaviors [7,8,9]. Considering the abundance of transgenic mice available for recording and manipulating the activity of specific neuronal populations [10], it is worthwhile to explore the cooperation capability in mice. In this study, we trained mice to learn coordinated lever-pressing and then examined their social interactions during this cooperative behavior. We further evaluated potential brain circuits involved in cooperation with whole-brain imaging of c-Fos expression.

For training the mice to learn cooperation, we designed a training box that was divided into two chambers by a transparent windowed partition wall, with a lever and a lickometer on the two ends of each chamber (Fig. 1A). The mice were first trained individually to obtain water rewards after lever-pressing (Additional file 1: Fig. S1A–C). Then they were divided into cooperative and non-cooperative groups and trained differently (Additional file 1: Fig. S1A). Mice in the non-cooperative group continued to be trained individually for lever pressing, whereas mice in the cooperative group were trained in pairs and needed to press the levers synchronously within a 1 s or 0.5 s window to receive rewards (Fig. 1B, C and Additional file 1: Fig. S1A). Because mice could also show synchronous lever-pressing by chance, we shuffled the timing of lever-pressing and licking behaviors of each pair of mice, and computed the ratios of synchronous pressing and total pressing under 1000 shuffled conditions. We then define the cooperation index (CI) as the synchronous pressing ratio (the number of measured synchronous pressing over total pressing), subtracting the top 95th percentile of the “synchronous pressing” ratios from the shuffled data. The mean CI of the cooperative group was found to increase with training and was significantly higher than that of the non-cooperative group on the last training day (Fig. 1D, Additional file 2: Video S1 and Additional file 3: Video S2). To evaluate the stability of this learned cooperative behavior, we performed three different tests including (1) partner swapping test, (2) obstacle test, and (3) long-term memory test (see “Methods”). None of the manipulations significantly affected the resulting CI (Additional file 1: Fig. S1D–F). Thus, the mice were able to learn the task, resist interference and stably express cooperative behavior.

Fig. 1figure 1

Cooperative behavior and related brain activity trace. A Schematic diagram of the experimental box for cooperation training and testing. B Cooperation requirement in the behavioral paradigm: the two mice need to press levers synchronously to obtain subsequent rewards. C Training schedule; reward value and time window of joint pressing for reward were changed according to criteria in Additional file 1: Fig. S1A. D Gradual increase of the cooperation index (CI) with training. The CI in the cooperative group (n = 20) was significantly greater than that in the non-cooperative group (n = 16) on the last day of training. ***p < 0.001; Mann–Whitney test. E Schematic diagram of social contact. F Social contact number of the coop group (mean of each pair of coop group during training days 17, 19 and 21, n = 10 pairs) was higher than that of the non-coop group (mean of each pair of non-coop group during training days 17, 19 and 21, n = 8 pairs). One-way ANOVA test. G Social contact number was positively correlated with CI. Dots with different shapes indicate the data of ten training pairs on various training days. The heat level indicates the number of training days. H Schematic diagram of waiting behavior. I Wait number of the coop group (mean of each mouse of the coop group during training days 17, 19 and 21, n = 20) was higher than that of the non-coop group (mean of each mouse of the non-coop group during training days 17, 19 and 21, n = 16). Mann–Whitney test. J Waiting number was positively correlated with CI. Dots with different shapes indicate the data of ten training pairs (mean waiting number of two mice) on various training days. The heat level indicates the number of training days. K Schematic diagram of the blocking social contact test. The partition wall was windowed, and the illumination was on under normal condition (left). The partition wall was unwindowed, and the illumination was off under the block condition (right). L Blocking social contact impaired cooperative behavior. Paired t test (normal vs block of coop group, n = 8) or Mann–Whitney test (normal of coop group vs normal of non-coop group, n = 8). M, O c-Fos expression of the coop and non-coop groups in different coronal sections (50 μm thick) of Bregma 2.96 mm (M) and 1.42 mm (O). Scale bar = 500 μm. N, P Enlarged details of the rectangular area in M (N) and O (P). Scale bar = 200 μm. Q Brain-wide neuronal activity trace during cooperation. Top: c-Fos density for each brain region of each mouse, normalized across all mice using the z-score (color-coded). Bottom: mean c-Fos density of the coop and control groups. Linear regression models (Y = βX + α) were established to compare the difference in c-Fos density between the coop (n = 12) and control groups (n = 6). Shading or error bars indicate the SEM. *p < 0.05, **p < 0.01, ***p < 0.001

Social contact is known to be necessary for cooperation [4, 6, 11]. To test the importance of social contact in the present task, we used DeepLabCut [12] to identify the neck and body coordinates of the mice and found that the mice indeed tended to shuttle synchronously during cooperation (Additional file 1: Fig. S2A, B). The body locations of the two paired mice in the cooperative group exhibited more overlap than the non-cooperative group (Additional file 1: Fig. S2C), and were positively correlated with CI (Additional file 1: Fig. S2D). To further analyze social behaviors, we extracted social contact events based on neck distance and body angle (Fig. 1E, Additional file 1: Fig. S2E and Additional file 4: Video S3). We found that the number of social contact events in the cooperative group was greater than that in the non-cooperative group (Fig. 1F). Furthermore, the number of social contact events was positively correlated with the CI in the cooperative group (Fig. 1G). In addition to social contact, mice also showed voluntary waiting behavior, i.e., a mouse did not press the lever until his partner had also reached the press area (Fig. 1H, Additional file 1: S2A and Additional file 5: Video S4). The number of waiting events in the cooperative group was significantly greater than that in the non-cooperative group (Fig. 1I) and was positively correlated with CI (Fig. 1J).

To evaluate the necessity of communication between partners during this task, we paired cooperatively trained mice with non-trained partners. It is interesting to note that the trained mouse apparently waited for the non-trained mouse to come close to the lever, and then pressed its lever and shuttled to the water nozzle (Additional file 6: Video S5). This suggests that the trained mouse could use the partner’s location information to direct its action. However, in such tests where the trained mice did not have effective communication with their non-trained partners, the CI of the trained animals decreased significantly to almost chance level (Additional file 1: Fig. S3A). This indicates the importance of effective communication for the animals to achieve high-level performance in coordination tasks, consistent with previous studies using robotic rat partners for similar tests [6]. In parallel experiments, we turned off the illumination light during cooperation tests for pairs of trained mice. The CI decreased significantly compared to the normal light-on condition but was still significantly higher than that of non-trained animals (Additional file 1: Fig. S3B), suggesting that other sensory modalities such as auditory or olfactory systems could also contribute to the performance. Finally, when we used an unwindowed partition wall in the test box and turned off light to block all sensory information needed for social interaction during the cooperation test, the CI for the tested pairs decreased to near the chance level (Fig. 1K, L). These results suggest that the coordinated lever-pressing of the mice is likely a form of cooperation that requires social interaction and communication.

Cooperation requires individuals to coordinate actions with their partners, and could involve concerted activity of various brain circuits [3, 5, 6]. To identify such circuits involved in cooperation, we used a volumetric imaging with synchronized on-the-fly-scan and readout (VISoR) system for whole-brain imaging [13] to obtain brain-wide c-Fos expression [14] in mice performing cooperative or non-cooperative tasks (Fig. 1M–P and Additional file 1: Fig. S4). Of all 61 brain regions evaluated, 5 were found to exhibit significantly elevated c-Fos expression in the cooperative group (Fig. 1M–Q). These regions include the frontal pole (FRP), somatomotor areas (MO), anterior cingulate area (ACA), prelimbic area (PL) and lateral amygdala nucleus (LA), suggesting possible involvement of various functions, such as decision making, motor planning, socializing and emotions, in cooperative behavior [15].

It is noted that the c-Fos expression across different brain areas showed strong individual variability in the cooperation group. This may be due to the variability of spontaneous behaviors and mental states during the period when the mice performed the test. It could also reflect different strategies of cooperation. In the future, refined behavior analysis and real-time neural activity recording are needed for further in-depth investigation. In the current study, we established an efficient paradigm of cooperative behavior in mice based on synchronized lever-pressing and revealed the relationship between characteristic social behaviors and cooperation. Together with brain-wide activity trace mapping, our work provides useful tools and clues for further studies of the neural mechanisms underlying cooperative behavior and its development through learning.

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