Name: gathering self-initiated rat behavioral data to characterize post-stroke deficits
Uploaded: 2024-03-15T12:40:00
Description: Watch this Scientific Journal Video about Gathering Self-Initiated Rat Behavioral Data to Characterize Post-Stroke Deficits at JoVE.com

This work was funded in part by the Beatrice H. Barrett endowment for research on neuro-operant relations to the University of North Texas (UNT). We are grateful for the input and assistance of all members of the Neuroplasticity and Repair Laboratory, especially Valerie Rojas, Mary Kate Moore, Cameron Scallon, and Hannah McGee.

All procedures and animal care were approved by the University of North Texas institutional animal care and use committee (IACUC) and adhered to National Institutes of Health guide for the care and use of Laboratory animals. Adult male and female Long-Evans rats (400-800 g, 1.5 years old), used in the present study, were housed in colony caging.
1. Equipment preparation
<ol>
	<li>Obtain or assemble the one-rat turnstile (ORT) according to the design files and instructions fo...

<ol>
	<li>Whishaw, I. Q., Kolb, B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> The behavior of the laboratory rat: A handbook with tests. , (2004).</li><li>Sorge, R. E., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Olfactory+exposure+to+males,+including+men,+causes+stress+and+related+analgesia+in+rodents.">Olfactory exposure to males, including men, causes stress and related analgesia in rodents.</a> Nature Methods. 11 (6), 629-632 (2014).</li><li>Ottesen, J. L., Weber, A., G&#252;rtler, H., Mikkelsen, L. 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P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+impact+of+environmental+enrichment+in+laboratory+rats-behavioural+and+neurochemical+aspects.">The impact of environmental enrichment in laboratory rats-behavioural and neurochemical aspects.</a> Behavioural Brain Research. 222 (1), 246-264 (2011).</li><li>Van Praag, H., Kempermann, G., Gage, F. H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Neural+consequences+of+enviromental+enrichment.">Neural consequences of enviromental enrichment.</a> Nature Reviews Neuroscience. 1 (3), 191-198 (2000).</li><li>Hays, S. 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K., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Improved+single+pellet+grasping+using+automated+ad+libitum+full-time+training+robot.">Improved single pellet grasping using automated ad libitum full-time training robot.</a> Behavioural Brain Research. 281, 137-148 (2015).</li><li>Brenneis, C., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Automated+tracking+of+motion+and+body+weight+for+objective+monitoring+of+rats+in+colony+housing.">Automated tracking of motion and body weight for objective monitoring of rats in colony housing.</a> Journal of the American Association for Laboratory Animal Science. 56 (1), 18-31 (2017).</li><li>Pereira, T. D., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Sleap:+A+deep+learning+system+for+multi-animal+pose+tracking.">Sleap: A deep learning system for multi-animal pose tracking.</a> Nature Methods. 19 (4), 486-495 (2022).</li><li>Lauer, J., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Multi-animal+pose+estimation,+identification+and+tracking+with+deeplabcut.">Multi-animal pose estimation, identification and tracking with deeplabcut.</a> Nature Methods. 19 (4), 496-504 (2022).</li><li>Butcher, G., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=An+apparatus+for+automatically+training+and+collecting+individualized+behavioral+data+with+socially+housed+rodents.">An apparatus for automatically training and collecting individualized behavioral data with socially housed rodents.</a> Journal of Neuroscience Methods. 365, 109387 (2022).</li><li>Winter, Y., Schaefers, A. T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+sorting+system+with+automated+gates+permits+individual+operant+experiments+with+mice+from+a+social+home+cage.">A sorting system with automated gates permits individual operant experiments with mice from a social home cage.</a> Journal of Neuroscience Methods. 196 (2), 276-280 (2011).</li><li>Rivalan, M., Munawar, H., Fuchs, A., Winter, Y. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=An+automated,+experimenter-free+method+for+the+standardised,+operant+cognitive+testing+of+rats.">An automated, experimenter-free method for the standardised, operant cognitive testing of rats.</a> PLOS One. 12 (1), e0169476 (2017).</li><li>Deacon, R. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Housing,+husbandry+and+handling+of+rodents+for+behavioral+experiments.">Housing, husbandry and handling of rodents for behavioral experiments.</a> Nature Protocols. 1 (2), 936-946 (2006).</li><li>Lang, C. E., Lohse, K. R., Birkenmeier, R. 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J., Veenema, A. H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+social+versus+food+preference+test:+A+behavioral+paradigm+for+studying+competing+motivated+behaviors+in+rodents.">The social versus food preference test: A behavioral paradigm for studying competing motivated behaviors in rodents.</a> MethodsX. 7, 101119 (2020).</li><li>Borland, J. M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+novel+operant+task+to+assess+social+reward+and+motivation+in+rodents.">A novel operant task to assess social reward and motivation in rodents.</a> Journal of Neuroscience Methods. 287, 80-88 (2017).</li><li>Tzschentke, T. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Review+on+cpp:+Measuring+reward+with+the+conditioned+place+preference+(cpp)+paradigm:+Update+of+the+last+decade.">Review on cpp: Measuring reward with the conditioned place preference (cpp) paradigm: Update of the last decade.</a> Addiction Biology. 12 (3-4), 227-462 (2007).</li><li>Salamone, J. D., Correa, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Neurobiology+and+pharmacology+of+activational+and+effort-related+aspects+of+motivation:+Rodent+studies.">Neurobiology and pharmacology of activational and effort-related aspects of motivation: Rodent studies.</a> Current Opinion in Behavioral Sciences. 22, 114-120 (2018).</li><li>Shull, R. 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H., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Circadian+biology+and+stroke.">Circadian biology and stroke.</a> Stroke. 52 (6), 2180-2190 (2021).</li><li>Meng, H., Liu, T., Borjigin, J., Wang, M. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Ischemic+stroke+destabilizes+circadian+rhythms.">Ischemic stroke destabilizes circadian rhythms.</a> Journal of Circadian Rhythms. 6 (1), 1-13 (2008).</li><li>Stern, R. A., Bachman, D. L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Depressive+symptoms+following+stroke.">Depressive symptoms following stroke.</a> The American Journal of Psychiatry. 148 (3), 351-356 (1991).</li><li>Rapolien&#279;, J., Endzelyt&#279;, E., Jasevi&#269;ien&#279;, I., Savickas, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Stroke+patients+motivation+influence+on+the+effectiveness+of+occupational+therapy.">Stroke patients motivation influence on the effectiveness of occupational therapy.</a> Rehabilitation Research and Practice. 2018, (2018).</li><li>Robinson, R. G., Jorge, R. 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This protocol has multiple uses. First, and most broadly, the ORT was developed for the purpose of enabling automated single-subject behavioral training and data collection in the context of social, enriched housing. While this study tested the idea of collecting typical behavioral measures and elaborating upon them in the context of stroke, the same can be done for other applications and behavioral tasks. Even the measures gathered in this validation can also be adjusted as needed to include alternative reinforcement sc...

Behavioral training and testing with rat models are important in countless research areas, from the exploration of cognitive processes to disease states and more1. Typically, this training and testing is conducted with single animals in one-on-one sessions, with a researcher manually removing the animal from their home caging and temporarily placing them in some kind of apparatus. Unfortunately, there are several difficulties and limitations with this approach. First, behavioral testing can take a great deal of time for researchers, and when training is necessary, that time requirement becomes even greater. Second, this approach automatically affects-or even potentially confounds-the acquired data, as has been established elsewhere2. These confounds are especially salient when considering enrichment-related variables. Specifically, laboratory rats are traditionally housed in small cages that are just big enough for one or two rats3, and if running wheels are not provided, they may go a lifetime without meaningful opportunities to exercise. Additionally, isolated housing can be a major source of stress in a social species such as the rat4. Some of these welfare-related drawbacks likely impact rat physiology5,6, which may preempt the development of species-typical behavioral expression4 and impact the quality of rodent models as applied to human contexts.
Researchers have pursued several types of solutions to these problems in recent years. The simplest type of solution has been to automate behavioral testing and training7,8,9,10, thus removing the requirement for a single researcher to attend to a single animal. An additional solution has been to automate animal transfer to experimental chambers11,12, further removing the need for human involvement. Last, several setups have been explored which allow animals to be housed in colony caging with other animals and with more room for exploration and enrichment13. Despite these advantages, such colony setups can limit or complicate the efforts to gather individually differentiated behavioral data (though see efforts to use computer vision)14,15. If individual behavioral data is required, it can be more difficult or complex to identify and retrieve animals from colony caging for behavioral sessions as well. At present, few systems exist for collecting individual behavioral data from (enriched) colony housing16,17,18.
These drawbacks may specifically impact research on the behavioral effects of acquired brain injury. First, it is clear that the presence and/or sex of humans as well as handling practices affect rodent behavior2,19, and these variables may differentially impact the behavior of rats before vs. after stroke. Second, human behavioral outcomes after stroke can be worsened by voluntarily decreased engagement with the recommended dosage of rehabilitation exercises20. Currently, rodent experiments tend to not model this sort of context, because rats are not free to choose to engage or abstain from behavioral sessions.
This article introduces a protocol designed to facilitate individual behavioral testing within the framework of enriched colony caging. This approach not only addresses the constraints of current practices but also opens avenues for the exploration of innovative measures. A one-rat turnstile (ORT) has been developed and can be affixed to a colony cage, enabling animals to enter behavioral chambers independently and initiate their own training and testing sessions. The system is affordable; each ORT can be assembled at low cost (given access to a 3D printer). In the past, validation of this system was carried out using a basic operant chamber, showing that animals could be consistently trained to perform a simple operant lever press without the presence of an experimenter16. Nevertheless, the question of whether this configuration is applicable to other scenarios remains unresolved. The aim is to validate the effectiveness of the ORT-colony caging setup, which was previously established, for training and quantifying skilled reach behavior relevant to motor impairment following a stroke. The configuration was utilized to generate novel variables that are typically not explored in stroke research. These variables include performance metrics for the skilled reach task and measurements of self-initiation, which could be pertinent to motivation and decision-making. Furthermore, stroke-induced changes in the circadian patterns of daily self-initiation across the entire 24 h period were effectively detected.

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>3D printer&#160;</td>
			<td></td>
			<td></td>
			<td>Consult with local makerspace</td>
		</tr>
		<tr>
			<td>bolt</td>
			<td>Boltdepot</td>
			<td>1346</td>
			<td>6-32 or 8-32 by&#160; 0.5&#34;</td>
		</tr>
		<tr>
			<td>bolt</td>
			<td>Boltdepot</td>
			<td>1348</td>
			<td>6-32 or 8-32 by&#160; 0.75&#34;</td>
		</tr>
		<tr>
			<td>door hinge</td>
			<td>XJS (Amazon)</td>
			<td>43398-16234</td>
			<td>1&#34; cabinet stainless steel door hinge set; Optional (if &#34;perfect hinge&#34; is not printed)</td>
		</tr>
		<tr>
			<td>drill</td>
			<td></td>
			<td></td>
			<td>Any electric drill works</td>
		</tr>
		<tr>
			<td>extension spring</td>
			<td>Nieko (Amazon)</td>
			<td>50456A</td>
			<td>Choose and adjust spring based on ORT sized and desired tension</td>
		</tr>
		<tr>
			<td>granulated sugar</td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>lock nuts</td>
			<td>Boltdepot</td>
			<td>2551</td>
			<td>6-32 or 8-32</td>
		</tr>
		<tr>
			<td>measuring tape</td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>microcontroller</td>
			<td>Arduino</td>
			<td>A000066</td>
			<td>Arduino Uno</td>
		</tr>
		<tr>
			<td>microswitch</td>
			<td>Sparkfun</td>
			<td>KW4-Z5F</td>
			<td>mini microswitch (SPDT-roller lever)</td>
		</tr>
		<tr>
			<td>One Rat Turnstile (ORT)</td>
			<td>Vulintus</td>
			<td></td>
			<td>Contact company to request quote if not self-assembling</td>
		</tr>
		<tr>
			<td>Operant Chambers as desired for behavioral assessment: For this experiment we used automated isometric pull chambers from Vulintus&#160;</td>
			<td>Vulintus</td>
			<td>No cat #: contact Vulintus</td>
			<td>Contact Vulintus for quote</td>
		</tr>
		<tr>
			<td>PLA filament&#160;</td>
			<td>OVERTURE (Amazon)</td>
			<td>UK-MATTEPLA17511</td>
			<td></td>
		</tr>
		<tr>
			<td>plexiglass</td>
			<td>Lesnlok (Amazon)</td>
			<td>B09P74K7BR</td>
			<td>clear, 1/8&#34; thickness, Cut to size</td>
		</tr>
		<tr>
			<td>plexiglass cutter</td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>python program</td>
			<td>Python Software Foundation</td>
			<td></td>
			<td>software available on request</td>
		</tr>
		<tr>
			<td>RFID reader</td>
			<td>Priority 1 Design</td>
			<td>RFIDRW-E-USB</td>
			<td>With antenna</td>
		</tr>
		<tr>
			<td>RFID tag</td>
			<td>Unified Information Devices</td>
			<td>UC-1485-10</td>
			<td></td>
		</tr>
		<tr>
			<td>rod</td>
			<td>Boltdepot</td>
			<td>23632</td>
			<td>cut to &#62; 3.5&#34;</td>
		</tr>
		<tr>
			<td>Rotary tool</td>
			<td></td>
			<td></td>
			<td>Used to bore hole in apparatus and colony caging for ORT; any hardware usable</td>
		</tr>
		<tr>
			<td>sand paper</td>
			<td>HSYMQ (Amazon)</td>
			<td>TOMPOL-1118-1915-11</td>
			<td></td>
		</tr>
		<tr>
			<td>socket wrench set</td>
			<td></td>
			<td></td>
			<td>Any socket wrench set works</td>
		</tr>
		<tr>
			<td>soldering iron</td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>super glue</td>
			<td></td>
			<td>234790</td>
			<td></td>
		</tr>
		<tr>
			<td>wire</td>
			<td>Plusivo (Amazon)</td>
			<td>EAN0721248989789</td>
			<td></td>
		</tr>
	</tbody>
</table>

gathering self-initiated rat behavioral data to characterize post-stroke deficits

Behavioral testing in rat models is frequently utilized for diverse purposes, including psychological, biomedical, and behavioral research. Many traditional approaches involve individual, one-on-one testing sessions between a single researcher and each animal in an experiment. This setup can be very time consuming for the researcher, and their presence may impact the behavioral data in unwanted ways. Additionally, traditional caging for rat research imposes a lack of enrichment, exercise, and socialization that would normally be typical for the species, and this context may also skew the results of behavioral data. Overcoming these limitations may be worthwhile for several research applications, including the study of acquired brain injury. Here, an example method is presented for automatically training and testing individual rat behavior in a colony cage without the presence of humans. Radio frequency identification can be utilized to tailor sessions to the individual rat. The validation of this system occurred in the example context of measuring skilled forelimb motor performance before and after stroke. Traditional characteristics of post-stroke behavioral impairments and novel measures enabled by the system are measured, including success rate, various aspects of pull force, bout analysis, initiation rate and patterns, session duration, and circadian patterns. These variables can be collected automatically with few limitations; though the apparatus removes experimental control of exposure, timing and practice, the validation produced reasonable consistency in these variables from animal to animal.

The animals were trained and tested with four female rats in one colony cage and four male rats in a separate colony cage. All rats learned to pass through the ORTs in four days or less. The four female rats reached &#62;85% successful bouts at the 120 g force requirement in approximately 6 weeks of training and the male rats reached the same criterion in 10 weeks (compared to roughly 3 weeks with standard training with deprived rats)7. This training duration was greatly lengthened due to several ...

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Gathering Self-Initiated Rat Behavioral Data to Characterize Post-Stroke Deficits

A system for acquiring data from self-initiated individual behavior sessions within a social colony cage setting is presented. The efficacy of this system is demonstrated using an automated skilled reach assessment, enabling the characterization of post-stroke motor impairments, potential behavioral alterations related to motivation, circadian variations, and other innovative dependent variables.

Behavioral testing in rat models is frequently utilized for diverse purposes, including psychological, biomedical, and behavioral research. Many ...

This research aims to address typical limitations in behavior-based experiments by enabling animals to live in enriched colony housing. The goal is to facilitate self-initiated behavioral testing and training, and to demonstrate how that approach can generate valid individualized data, including post-stroke dependent variables, both typical and novel. There are several challenges for researchers conducting behavioral experiments, including spending time on behavioral training and minimizing any potential confounds associated with either human handling of rodents and deprivation of food, exercise, and social interaction.Hopefully, the findings from this protocol show the utility of pursuing automated, human free and or ecologically enriched approaches for collecting behavioral data. We hope that this will encourage other researchers to utilize such high throughput methods to explore novel variables and an array of experimental paradigms. To begin, obtain a preassembled one rat turnstile or ORT.Attach a radio frequency identification, or RFID reader, to the ORT then affix the RFID antenna to the ORT tube. Attach the ORTs between the behavioral apparatus and colony caging. Install the RFID system to read animals as they pass through the ORT.Introduce a same sized cohort of rats into the colony caging. Train the rat to regularly enter the behavioral apparatus via the ORT. Next, introduce the poll handle into the skilled reach apparatus.In the Arduino program, to set the pull handle to the highest sensitivity, go to the RAT. H file and define the force threshold required to initiate a pull. Retract the lever daily by 0.25 to 0.5 millimeters until reaching a final position of one to 1.25 centimeters outside the chamber.Initiate a percentile training program to progressively increase the required pull forces to activate the handle. Once the rat reliably reaches the final criterion range of 120 gram pulls remove the percentile training program and fix the criterion for handle activation to 120 grams. Recover the stroke induced rat in a traditional caging for three to seven days.After recovery, return the rat to the colony caging with the ORT attached to the skilled reach apparatus. Complete the behavioral testing at pull requirements of 120 grams until sufficient data is collected to evaluate post-stroke deficits. In skilled reach assessments, significant variations in success rate, mean force per pull and pulls per bout of rats were observed after stroke inducement.The stroke did not affect the session initiations. Females consistently initiated more sessions than males with no change in rate after stroke. In contrast, most rats exhibited increased chamber duration, possibly due to reduced bout success rates.The stroke affected the circadian patterning of session distributions throughout the day in both males and females. Before stroke animals engaged with the task primarily early in the light cycle and in females just before the dark cycle onset. After the stroke, both males and females, shifted toward gradually increasing engagement throughout the light cycle.Translational stroke research currently utilizes various crucial behavior assays, but the majority require labor intensive and one-on-one testing and occasional training with animals. Also, self-initiation variables are seldom captured as the assays predominantly feature experiment or initiated sessions and tasks. Compared to typical behavioral training and testing approaches, this protocol offers several advantages.It addresses confounds associated with human handling, reduces the daily labor of researchers, enables several sources of enrichment, and even provides novel measures of circadian and initiation variables.

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