Keywords
Cognitive flexibility, Autism, Morris water maze, Prefrontal cortex, FMRP
Cognitive flexibility, Autism, Morris water maze, Prefrontal cortex, FMRP
Fragile X syndrome (FXS) is a neurodevelopmental disorder, caused by a trinucleotide expansion mutation in the FMR1 gene, and is also one of the most prevalent inherited forms of intellectual disability1. FXS is often modeled using the Fmr1 knockout (KO) mouse, which can be characterized by several behavioral phenotypes, including alterations in sociability and deficits in fear memory2–4. Aside from deficits in spatial and non-spatial learning, one understudied facet of intellectual disability is the ability to incorporate new information into existing learning, termed cognitive flexibility. Cognitive flexibility can be studied in rodents using a variant of the Morris water maze (MWM) paradigm5,6. In the MWM reversal paradigm, the location of the hidden platform is moved, and the latency to adjust to the new location is measured. As expected, several reports find evidence of impairments in reversal learning in the Fmr1 KO mouse across multiple strains, the C57BL/6J backcrossed strain7,8 and the albino C57BL/6J background2. However, other studies have been unable to replicate these findings, and further investigation points to the possibility of background strain differences9. Previous reports have not detected any impairments in reversal learning in the FVB.129 strain10. However, it may be that this paradigm is perhaps even more sensitive to methodological differences. The current study adds to this literature by using the FVB.129 strain in a previously utilized paradigm.
Male Fmr1+/+ and female Fmr1+/- FVB.129P2-Pde6b+Tyrc-ch Fmr1tm1Cgr/J (Stock No: 004624, The Jackson Laboratory, Bar Harbor, ME, USA) mice were used as breeders (9 total breeding pairs) to produce the following groups: male WT and male KO pups. Breeding pairs were of the following groupings: WT Female/WT Male (n = 2), KO Female/KO Male (n = 5), WT Female/KO Male (n = 2). Genotype was determined from toe clippings taken prior to age postnatal day (PD) 12 (Mouse Genotype, Escondido, CA, USA). The final sample sizes were as follows: nmale WT = 10, nmale KO = 16. Target samples sizes (n = 10) were calculated a priori using a power calculation in G*Power 3.1 with the following parameters: f = 0.50 (large effect), α = 0.05, power (1 – β) = 0.80, for the F family of tests with two groups and 8 repeated measures (trials). All pups were housed in individual cages (Allentown Caging PC7115HT, Allentown, PA, USA), filled with sani-chip bedding (7090 Teklad, Envigo, Somerset, NJ, USA). Prior to weaning on PD21, pups were housed with parents (1 male and 2 females) and littermates (up to 12 pups). Following weaning, subjects were housed with mixed genotype littermates, no more than 5 to a cage. The light cycle was kept at 12 hr. light, and the colony room was kept at an ambient temperature of 22° C. Animals had ad libitum access to food and water. All procedures performed were in accordance with Baylor University Institutional Animal Care and Use Committee (Animal Assurance Number A3948-01), as well as the National Institutes of Health Guidelines for the Care and Use of Laboratory Animals. All efforts were made to ameliorate any stress and harm to the animals, specifically by habituating animals to the testing apparatus and room prior to trial recordings.
All behavioral testing was conducted during the light cycle, specifically between 8 am and 5 pm. The methods for the current study were adapted as closely as possible from earlier studies of this behavior in the Fmr1 KO mouse (represented in Figure 1)9. Briefly, a 1.3 m diameter white pool was filled with water and made opaque through the addition of non-toxic white paint (Item LT3010, S&S Worldwide, Connecticut). The hidden platform measured 14.5 cm × 14.5 cm and was submerged approximately 2 cm below the water level. The testing paradigm consisted of two blocks per day for 4 days, with 4 trials in each block, for each mouse to test the ability to locate a hidden platform. The mice were habituated to the testing room in their holding cages for 30 minutes prior to the onset of testing. The amount of time spent in each quadrant for each trial was recorded with a ceiling-mounted video camera (Ganz YCH-02, Cary, NC, USA), and analyzed using automated tracking software (Ethovision XT 6, Noldus, Wageningen, Netherlands). After the last trial on the fourth day of testing was completed, the animals were given a probe trial. The probe trial involved removing the platform and allowing the subjects to explore the maze for 60 seconds. During the probe trial, the number of times the animal crossed the location of the hidden platform and the duration of time in each quadrant was calculated. Testing resumed on day 8 after a 3-day rest period. On day 8, the platform was placed in the opposite quadrant from the previous location that housed the hidden platform. Testing progressed as with the initial acquisition phase, with 2 blocks per day for 2 days. On the final day of testing, a visible platform was used to evaluate visual performance as well as swim speed. The visible platform was a two-tiered platform similar to the initial platform, with a second higher tier platform that extended 9.5 cm above the lower platform, allowing the animal to see the platform. The differences in methodology from the cited source were as follows: only four days of acquisition were conducted and the testing paradigm was lengthened to account for a consolidation period between the learning and reversal trials (See Figure 1 for a description of the testing paradigm). One KO animal was excluded from analysis due to a seizure during this task.
Statistical analysis was performed in the form of a one-way analysis of variance (ANOVA) with one between-subjects factor (Genotype [wildtype, knockout]) and one within-subjects factor (Trial). All data were analyzed using GraphPad Prism Software 7.0 (San Diego, CA, USA) or IBM SPSS Statistics 23 (Aramonk, NY, USA).
To investigate the effect of genotype on hippocampal spatial memory, animals were tested in the MWM paradigm (Dataset 1). During the 8 blocks of learning trials (Figure 2A), there was a significant within-subjects effect of trial for latency to reach the platform, F(3.56, 85.47) = 30.15, p < .0005. Trial results did not interact significantly with genotype, F(3.56, 85.47) = 1.33, p = 0.24, suggesting both groups learned the location of the platform similarly. Between-subjects analyses indicated no effect of genotype, F(1, 24) = 0.03, p = 0.85. Further independent samples t-testing revealed no differences between WT and KO at any of the 8 different trials, p > 0.05.
For the probe trial (Dataset 2), as expected, male KO mice demonstrated similar time spent in the target quadrant, F(1,23) = 0.02, p = 0.88 (Figure 2B), compared to male wildtype (WT). Further independent samples t-testing revealed no differences in duration in any of the quadrants, p > 0.05.
The week following the initial learning trials, animals were tested in the reversal learning paradigm (Dataset 3). During the 4 blocks of learning trials (Figure 2C), a one-way ANOVA with repeated measures revealed a significant within-subjects effect of trial, F(3, 69) = 3.8, p < 0.05. Trial results did not interact significantly with genotype, F(3, 69) = 1.28, p = 0.29. However, between-subjects analyses indicated a marginal effect of genotype, F(1, 23) = 3.93, p = 0.059 (Figure 2C). Further independent samples t-testing revealed that KO animals displayed significantly higher latency to reach the hidden platform during the third trial, t(23) = -2.96, p < 0.01. Together, these results demonstrate that Fmr1 KO males demonstrate decreased learning and altogether a lack of cognitive flexibility across all trials of the MWM reversal task.
Visible platform information was also assessed to ensure differences were not due to deficits in vision (Dataset 4). Results were analyzed using a repeated-measures ANOVA across the four visible platform trials on latency to the platform across the two blocks of trials. Results indicated no effect of block, F(1, 24) = 1.341, p = 0.26, nor an interaction of block and genotype, F(1, 24) = 0.0005, p = 0.98. There was not a significant effect of genotype on latency to the platform during these trials either, F(1, 24) = 0.98, p = 0.33 (Figure 3A). Altogether, these data suggest that differences in latency to the platform could not be attributed to deficits in visual perception in the Fmr1 KO male mouse. Moreover, differences in latency to the platform on the previous trials could not be attributed to impairments in swimming abilities, as no differences in swim speed were detected during the visible trials, t(11.17) = 1.526, p = 0.16 (Figure 3B).
As expected, deletion of Fmr1 did not impact initial spatial learning in the MWM. The current study did, however, demonstrate impairments in cognitive flexibility in the Fmr1 KO. As previously mentioned, other studies have not before detected such changes, and this discrepancy could be attributed to methodological differences10. In the aforementioned study, training occurred over 8 days, with only 3 training trials per day, and the reversal paradigm consisted of 4 days, with 3 trials per day. Furthermore, in support of our findings, deficits in long-term potentiation in the prefrontal cortex have been demonstrated in the Fmr1 KO mouse, the area on which the ability to adapt to a new location in this task is dependent on 11–13. Moreover, this ability to adapt to a new location is mediated through multi-synaptic connections between the hippocampus and the prefrontal cortex13. This proposed mechanism further supports our findings of no change to the initial spatial learning phase, as lesions to this area did not impact initial learning performance in spatial navigation11.
The current study provides preliminary evidence that could be applied to tease apart subtle differences between the male and female Fmr1 KO phenotype, which has been difficult to conclusively evaluate. Future studies should expand upon these findings in females, as many studies have demonstrated a sex-specific effect of loss of Fmr1 on behavior (discussed in a recent review14)2–4,15. Overall, this study corroborates and extends previous evidence of impaired cognitive flexibility in the male Fmr1 KO mouse.
Dataset 1– “Learning Trial Data – CSV.csv”
This datasheet contains the raw data exported from the Ethovision program (Columns A – G) as well as the transformed dataset that was used for analysis for the learning trials (Columns J – T). http://dx.doi.org/10.5256/f1000research.14969.d20606816
Dataset 2 – “Probe Trial Data – CSV.csv”
This datasheet contains the raw data exported from the Ethovision program (Columns A - AB) as well as the transformed dataset that was used for analysis for the probe trial (Columns AC – AI). http://dx.doi.org/10.5256/f1000research.14969.d20606917
Dataset 3 – “Reversal Trial Data – CSV.csv”
This datasheet contains the raw data exported from the Ethovision program (Columns A – G) as well as the transformed dataset that was used for analysis for the reversal trials (Columns J – O). http://dx.doi.org/10.5256/f1000research.14969.d20607618
Dataset 4 – “Visible Platform Data – CSV.csv”
This datasheet contains the raw data exported from the Ethovision program (Columns A – H) as well as the transformed dataset that was used for analysis of the visible platform trials (Columns K – S). http://dx.doi.org/10.5256/f1000research.14969.d20607719
This research was supported by funding from the National Institutes of Health, National Institute of Neurological Disorders and Stroke [NS088776].
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
We would like to thank Gregory Smith for his initial training guidance. We would also like to thank Conner Reynolds, Samantha Hodges, Matthew Binder, and Andy Holley for their critical review of the paper.
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Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
No source data required
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
No
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
No
References
1. Dvorak D, Radwan B, Sparks FT, Talbot ZN, et al.: Control of recollection by slow gamma dominating mid-frequency gamma in hippocampus CA1.PLoS Biol. 2018; 16 (1): e2003354 PubMed Abstract | Publisher Full TextCompeting Interests: No competing interests were disclosed.
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
References
1. D'Hooge R, Nagels G, Franck F, Bakker CE, et al.: Mildly impaired water maze performance in male Fmr1 knockout mice.Neuroscience. 1997; 76 (2): 367-76 PubMed AbstractCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: fragile X; autism; addiction; dendritic structure and plasticity
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Version 1 07 Jun 18 |
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