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Training and testing working memory in the RAM
Working memory is a cognitive process that can hold a limited amount of information for a short time while it is manipulated and used in the planning and execution of a mental task. Examples include memorizing the entry code for a door at a remote location or memorizing the path to a specific destination. The dual N-back task and spatial span task are commonly used visuospatial working memory tasks in which human subjects are asked to memorize the location, identity, and temporal order of the stimuli. Takeuchi et al. found that the amount of training in successful working memory tasks in humans, which include the dual N-back task, correlates with the increased fractional anisotropy in the anterior part of the body of the corpus callosum in their study using MRI51. In our earlier study50, using the protocol described in this paper, we found that myelinating oligodendrocytes increased in the anterior corpus callosum and other brain areas that are thought to be involved in working memory processing, including the anterior cingulate cortex, which is believed to be involved in attention. The oligodendrocyte increase closely correlates with their working memory task performance, which is consistent with the study in humans by Takeuchi et al50,51,52. However, it is still necessary to study whether there are similarities in psychological processes between humans and mice (e.g., electrophysiology). Working memory is closely related to attention. It correlates with measures of 'fluid intelligence' in humans and is important for learning, hence important to study. Olton and Samuelson described an 8-arm radial maze (RAM) task for training and assessing spatial memory in rats20. In the free choice experiment, they provided all maze arms with 0.1 g rat chow, which was not replenished during the test. So, only eight rewards were obtained in one test. All arms were open, and rats had immediate access to all the arms during the experiment. Since food rewards were not replenished, rats had to use working memory to avoid revisiting previously visited arms, in order to recover as many rewards as possible before the end of the task. Each rat was placed in the central hub at the start and allowed to enter any arm at will, to recover the food reward until 16 arm choices were made or 10 min elapsed. Olton et al. counted the number of distinct arms rats visited within the first 8 choices and found all rats chose an average of more than 7 distinct arms within 10 days20. We tried a similar protocol with mice and found that mice, unlike rats, showed daisy-chaining for a few days and did not change their strategy afterward, which circumvented the purpose of assessing their working memory. The mouse was, therefore, confined in the central hub between arm visits, hoping confinement in the central hub would prevent the daisy-chaining behavior.
Olton et al. confined rats in the central hub for 1 min or 15 s to interfere with any sequence of choices. This prevented them from adopting their usual tendency to progress around the maze continuously, in a clockwise or anti-clockwise direction20,53. If the choice of any arm is random, equally probable, and completely independent of previous choices, the experiment is an example of the classic 'occupancy problem'20, so the probabilities p(n,8) of selecting n distinct arms within the first eight successive arm visits are: p(1,8)=4.8x10-7, p(2,8)=4.2x10-4, p(3,8)=0.019, p(4,8)=0.17, p(5,8)=0.42, p(6,8)=0.32, p(7,8)=0.067, p(8,8)=0.0024. From these probabilities, one can calculate that the mean chance likelihood of choosing distinct arms is 5.3 (Expectation value =
= 5.25; 5.3/8= 66%) out of 8. Olton et al. reported that, over a 10-day training period, the rats entered on average 5.7/8 distinct arms (71%; range: 4.2-6.6) over days 1-5, increasing to 7.6/ 8 distinct arms (95%; range: 7.2-8.0) during days 6-1020, which is significantly higher than chance. This indicated that rats used working memory to avoid food-depleted arms. We tried a similar approach with mice, confining them to the central hub for 5 s between arm visits. Mice entered an average of 5.7/ 8 different arms per 8-arm trial over days 1-5 (71%; range: 5.2-5.8; eleven C57BL/6 mice) and 5.9/ 8 arms during days 6-10 (74%; range: 5.7-6.5; eleven C57BL/6 mice). Therefore, mice were unable to learn, or learned very slowly, to improve their reward-finding performance significantly above chance levels during the 10 days of the experiment. Therefore, the protocols above were considered as unsuitable for mice, opting instead for a 'forced run/free run' paradigm, similar to that described for rats by Sasaki et al.27
In the protocol of Sasaki et al.27, all arms were baited at the beginning of the experiment, rewards were not replenished, and each rat was initially confined to the central hub of an open elevated 8-arm RAM. They were then released into each of the 4 pre-selected arms, one arm at a time, without confining them in the arms and the central hub between arm visits (the 'forced run'). Following the 4th arm visit, the rat would go back to the central hub, and all doors were immediately opened to allow the rat to visit any and all arms at will (the 'free run'). In order to collect all the remaining food rewards in the most efficient way during the free run, animals need to remember and avoid any arms they have already visited in either the forced or free runs. We used a very similar approach (Figure 2E) with mice. Ten minutes of habituation periods at the beginning of every day's RAM training in Sasaki et al.27 was replaced with a single 6-day habituation period prior to the training. Another modification made was allowing mice to make four additional arm visits at the end of each trial once all the rewards had been recovered. This was intended to reinforce the fact that rewards are not replenished in previously visited arms. Also, since mice learn to "avoid regret"54,55, it might discourage daisy-chaining behavior in the following trial, because such behavior would go unrewarded during the four additional arm visits immediately prior to their starting the subsequent trial. Another reason for the additional four arm visits was to prevent the mice from associating a successful recovery of all rewards with the possibly fearful experience of being caught by the experimenter at the end of the task. Mice might have developed a fear-memory when caught during the four additional arm visits, which could be one of the reasons why they spent more time towards the end of the experiment (Figure 4G). Indeed, mice broke the daisy chaining behavior during the additional four arm visits, if they did it in the trial. Furthermore, mice were confined in each arm for 15 s during the forced run and then in the central hub for 5 s before opening all the doors to start the free run. Without confining the mouse in the central hub, mice tended to go daisy chaining as described above.
For the forced run, we selected from a set of five 4-arm pseudorandom sequences that contain 3 or fewer adjacent arms. These were (1,3,5,7), (2,4,5,8), (1,4,5,7), (2,3,4,7), (1,2,5,6), and their variations of different arm orders and rotations, numbering the arms from 1-8 clockwise from the top (Figure 1C). Each mouse in a cohort underwent six trials (one trial = forced run +5 s confinement in the central hub + free run) per day during the 9-day post-habituation stage of the RAM test. During the free run, if a mouse made only four arm visits to recover all four rewards remaining after the forced run, it was termed a "perfect trial". Their performance during the 9 days of training was quantified by "daily success rate score", calculated as 4/(4+E), where E is the number of errors during the free run or the proportion of trials that were "perfect trials" (i.e. E=0). For example, if a mouse needed 7 arm visits to retrieve the 4 remaining rewards during the free run then the "daily success rate score" would be 4/7 = 0.57 or 57% and a perfect trial would score 100% on this scale; if a mouse made 5 perfect trials on the day the perfect trial ratio score would be 5/6 = 83.3 %.
Daily success rate scores achieved by daisy chaining were manually calculated for each of the 4-arm forced run patterns that were employed (previous paragraph), assuming that mice start their free run at random in any one of the 8 arms of the RAM. The average score over many trials that can be achieved by daisy-chaining is between 53% and 56% for the individual forced run arm patterns, or ~55% overall arm patterns. The probability of obtaining a perfect score (100%) by daisy-chaining is zero, and that by random arm visits is <1% (4/8 x 3/7 x 2/7 x 1/7 = 0.87%), assuming mice never return to the arm they have just exited. Therefore, the average daily success rate scores (>80%) and percent of perfect trial scores (>60%) reached by our mice in the final 2 days of the 9-day testing period (Figure 4A,B) could only be achieved consistently using a working memory-based strategy.
Mice that were familiar with the task tended to loiter at the last food well, or in the central hub, once they had consumed all the rewards, and they also tended to spend more time on the extra four arm visits at the end of the task (Figure 4G), suggesting that they had learned the "rule" that each arm contained one and only one reward, and also that they could keep track of the fact that they had visited all available arms. For mice of a different genetic background than that used here (C57BL/6), results might vary because genetic background matters in behavioral experiments56,57,58. However, in our previous study50, using mice with a mixed C57BL/6, CBA, 129P2 background but backcrossed with C57BL/6J mice, it was found that their working memory task performance was greatly improved using the protocol described here, with fewer mice resorting to daisy-chaining during the free run. Koike et al.59 reported that all 129 mouse inbred substrains carry a Disc-1 deletion polymorphism consisting of a 25 bp deletion in exon 6 of Disc-1 that causes a frameshift and truncation of the DISC-1 protein, affecting its functionality60,61. This mutation caused working memory impairment when studied with T-maze delayed alternation task59, another appetitively motivated win-shift maze task, possibly explaining why the control mice used in our previous study50 had slightly lower working memory scores than the inbred C57BL/6 mice. We always use mice that fall within the normal body weight range for their age and strain to avoid difficulties in maintaining their weight between 85% and 90%. Litter size could influence spatial memory and anxiety-like behavior because of early life overfeeding in a strain called NMRI62. Small litter size causes over-feeding and increased body weights in both the NMRI and C57BL/6 mouse strains. However, the two strains solved spatial learning tasks differently. While C57BL/6 mice did not show differences between small and control litter size, NMRI mice showed significant impairment in the learning phase with Morris water maze (MWM) test and slight impairment with Y-maze spontaneous alternation task though it was not significant. Furthermore, small litter size significantly decreased the protein levels of hippocampal brain-derived neurotrophic factor(BDNF) and increased the protein content of hippocampal interleukin-1b (IL-1b) after MWM and Y-maze tests in the NMRI strain. However, these changes were not observed in C57BL/6 strain. The NMRI strain of mice exhibited a significant increase in anxiety-like behaviors and stress-induced corticosterone levels when raised in small litter sizes. In contrast, small litter sizes for the C57BL/6 strain led to a reduction in both anxiety-like behaviors and corticosterone levels. Therefore, it's important to consider the litter size of the mouse strain when designing behavior experiments.
Behavioral differences between rats and mice
Most cognitive tasks were originally designed for rats. Also, spatial learning/memory has been extensively studied in rats. Because of the advantage of today's transgenic and genome modification technologies for mice, researchers often apply protocols devised for rats to mice. However, there are consistent behavioral differences between rats and mice3,4,5,6,7. For example, they have preference differences (social preference by rats and food preference by mice)3 and use different strategies to negotiate different maze tasks (water or land mazes)4. Also, mice tend to take a longer time to achieve good spatial learning scores in 8-arm RAM4,8,9, which is one reason that mice are generally regarded as inferior to rats in spatial learning tasks.
Rats and mice also differ in general behavior/character, including their responses to stress or fear management3,4,5,6,7,10. For example, previous studies found poor fear extinction learning in adolescent mice11,12,13,14, but not in rats15,16,17,18. In addition, mice are more prone to stress and do not like being handled when compared to rats, which, when familiar with handling, apparently enjoy being tickled by the handler and try to interact with handlers for more tickling19. Therefore, fear management is an important factor to consider when studying mouse behavior. Furthermore, Borrow et al.63 have reported that chronic variable stress decreases oxytocin mRNA, and increases the soma volume of oxytocin neurons in the paraventricular nucleus. Additionally, recent studies have shown that tunnel handling can reduce stress and improve performance in behavioral experiments38,39,40. Therefore, it is important to avoid stressing mice during or before behavioral experiments.
Mice do not like to be exposed in the open, for example, in the open field test or elevated-plus maze, preferring more enclosed and darker places64,65. In the context of the RAM, the central hub is the most open space, and it is from there that mice decide which arm to visit next. If they are anxious in the central hub, they might be distracted from the task and will perform below par. For this reason, we decided to catch mice in one of the radial arms (see procedure part), not in the central hub, so that they do not associate the hub with a fearful experience.
When exploring the 8-arm RAM for food rewards, rats emerging from a given arm tend to turn at right angles for their next arm visit, skipping the intervening arm, and rarely visit arms sequentially (what we term "daisy-chaining"); that is to say, rats tend to visit in the order 1,3,5,7 not 1,2,3,4 20,53,66. In contrast, mice often adopt a daisy-chaining strategy, possibly because of their body size and flexibility. The daisy-chaining strategy is a fairly cost-effective way for mice to recover the food rewards, but it is a considerable drawback for the experimenter trying to test spatial working memory because it circumvents the purpose of the experiment67. However, stress exposure can affect learning ability and change learning strategy68. Since the daisy-chaining approach may indicate stress, it is important to ensure that the mice remain unstressed. We describe our current protocol as stress-free for mice during the working memory task because mice do not use the daisy-chaining strategy.
It is known that mice rely on distal visual cues more than proximal visual cues when navigating the maze48,69,70. We found that incorporating additional proximal visual cues that were printed on pieces of paper and placed on the back walls of all arms did not reduce such behavior, which is consistent with the claim by Olton et al. for rats20. However, placing beacons at the goal arms as an intramaze cue helped mice more than extramaze cues in solving the task of the 6-arm radial maze reference memory and working memory testing in one experiment71. Furthermore, different mouse strains show different visual abilities72, but their visuo-spatial learning ability and memory tested in the Barnes maze did not necessarily reflect their visual ability, suggesting that mice with poor visual abilities, such as BALB/c, may rely on different brain processes. Thus, experimenters need to consider what cues they want to use to fit their experiments best.
Reducing anxiety in mice during handling
Handling stress is well known to influence animals physiologically and behaviourally73,74,75,76,77. Also, Sandi et al demonstrated that spatial memory impairment caused by acute stress is associated with decreased expression of neural cell adhesion molecule (NCAM) in the hippocampus and prefrontal cortex by testing rats in a hippocampus-dependent water maze task using a female cat as a stressor between the last learning trial and the probe test78, suggesting that the hippocampus and prefrontal cortex are vulnerable to high levels of stress. Therefore, it is important to reduce stress/anxiety in experimental animals to avoid unexplained variations within and between animal studies. Especially, working memory tasks require animals to focus during the task, so unnecessary distractions must be avoided. Published protocols for testing working memory in rats, or working memory and reference memory together, often do not include important details such as how, when, and from where experimenters remove the animals from the maze at the end of the task. Since mice are less social than rats with the handler and are more prone to stress, such details are more important for experiments with mice. Rodents can develop episodic memory, which is a form of explicit long-term memory that includes memory of times, locations, and associated emotions79,80,81. Therefore, we chose not to remove mice from the maze immediately after they had collected all food rewards in the RAM but instead allowed them to make four subsequent arm visits without gaining food rewards. This was done to prevent the mice from associating successful recovery of all rewards with the possibly fearful experience of being caught by the experimenter, which is important, especially for the early stage of learning in the RAM. In addition, the additional four unrewarded arm visits can reinforce the fact that food rewards are not replenished in arms that the mice have previously visited. If the handling is not too stressful for mice, they interact with the experimenter more often38. To avoid stress, lift the mouse from its home cage at the start of the RAM experiment using a paper tube in the home cage supplied when they were separated from the grouped cage for experiment38, or else allow the mouse to climb onto the experimenter's hand voluntarily, when handling them in their home cage before the experiment and when bringing them from their home cage to the maze.When retrieving the mice from the maze at the end of an experiment, do not chase them in the maze but instead block the maze arm entrance with one hand and let the mice climb on it voluntarily, while covering the maze arm with the other hand to prevent the mouse from jumping out of the maze. This reduces the stress of being pursued in the maze or caught by the tail. Male experimenters are sometimes more stress-inducing than female experimenters, where mice are concerned82. However, by paying attention to the stress-reducing steps described here, it was found that male experimenters could conduct the RAM tests without major problems. Thus, how to handle mice is more important.
Sex differences
Only male mice are used in the experiments reported here because of the various impacts of sex in cognition, learning, and memory observed in different species (rodents and humans), and because the stress-coping responses differ between males and females63,83,84,85,86,87. However, when interpreting results obtained with rodents for possible benefits for humans, it is important to study both sexes. Guidelines from NIH and other funding councils also suggest using both male and female animals.
Advantages of the protocol
Our semi-automated 8-arm radial maze is an enclosed maze with opaque white acrylic walls but no lids (see Figure 1A for dimensions). While navigating the maze, mice cannot see the experimenter, which can be a distraction in mazes with transparent walls or open, elevated arms, but they can see distal extramaze visual cues above the maze (see Figure 1). Additionally, this protocol is, in principle, applicable to real-time in vivo imaging and electrophysiology because there is no wiring above the maze, and mice can learn the task efficiently.
Future directions
The current protocol is 15 days long from habituation to the end of the working memory task. We performed the protocol without breaks on weekends; however, having a weekend break after the 6-day habituation should not significantly impact the following 9-day working memory task. Taking a weekend break during the 9-day working memory task may slow down learning in mice. Thus, having two experimenters who are well-trained in handling mice might help reduce experimenters' stress without slowing down the mice's learning. According to Figure 4A, B, the first three days are crucial, as mice achieve more than one perfect trial on average after day four. Therefore, it is advisable to avoid breaks during the initial three days. If the working memory task is too easy for the mice of your interest, increasing the confining time after forced runs could be necessary. These need to be adjusted for individual cases.