The present protocol describes how to use wireless optogenetics combined with high-speed videography in a single pellet reach-to-grasp task to characterize the neural circuits involved in the performance of skilled motor behavior in freely moving mice.
Fine motor skills are essential in everyday life and can be compromised in several nervous system disorders. The acquisition and performance of these tasks require sensory-motor integration and involve precise control of bilateral brain circuits. Implementing unimanual behavioral paradigms in animal models will improve the understanding of the contribution of brain structures, like the striatum, to complex motor behavior as it allows manipulation and recording of neural activity of specific nuclei in control conditions and disease during the performance of the task.
Since its creation, optogenetics has been a dominant tool for interrogating the brain by enabling selective and targeted activation or inhibition of neuronal populations. The combination of optogenetics with behavioral assays sheds light on the underlying mechanisms of specific brain functions. Wireless head-mounted systems with miniaturized light-emitting diodes (LEDs) allow remote optogenetic control in an entirely free-moving animal. This avoids the limitations of a wired system being less restrictive for animals’ behavior without compromising light emission efficiency. The current protocol combines a wireless optogenetics approach with high-speed videography in a unimanual dexterity task to dissect the contribution of specific neuronal populations to fine motor behavior.
Motor skilled behavior is present during most movements performed by us, and it is known to be affected in several brain disorders1,2,3,4,5,6. Implementing tasks that allow studying the development, learning, and performance of skilled movements is crucial to understanding the motor function's neurobiological underpinnings, especially in models of brain injury, neurodegenerative and neurodevelopmental disorders2,7,8,9,10,11,12,13. Reaching for and retrieving objects is done routinely in everyday life actions, and it is one of the first motor skills acquired during early development and then refined through the years5,6. It comprises a complex behavior that requires sensory-motor processes such as the perception of the object's features, movement planning, action selection, movement execution, body coordination, and speed modulation7,14,15,16. Thus, unimanual high dexterity tasks require the participation of many brain structures of both hemispheres16,17,18,19,20,21,22. In mice, the single pellet reach-to-grasp task is characterized for several phases that can be controlled and analyzed separately7,13,23. This feature allows to study the contribution of specific neuronal subpopulations at different stages of acquisition and behavior performance and provides a platform for detailed studies of motor systems13,23,24. The movement occurs in a couple of seconds; thus, high-speed videography should be used for kinematic analysis in distinct stages of the skilled motor trajectory7,25. Several parameters can be extracted from the videos, including body posture, trajectory, velocity, and type of errors25. Kinematic analysis can be used to detect subtle changes during wireless optogenetic manipulation7,23.
Using miniaturized light-emitting diodes (LEDs) to deliver light via a wireless head-mounted system makes it possible to have remote optogenetic control while the animal performs the task. The wireless optogenetic controller accepts single-pulse or continuous trigger commands from a stimulator and sends infrared (IR) signals to a receiver connected to the miniaturized LED23,26. The current protocol combines this wireless optogenetics approach with high-speed videography of a dexterity task to dissect the role of specific neuronal populations during the performance of fine motor behavior23. Since it is a unimanual task, it allows for assessing the participation of structures in both hemispheres. Traditionally, the brain controls the body movement in a highly asymmetric manner; however, high dexterity tasks require careful coordination and control from many brain structures, including ipsilateral nuclei and differential contribution of neuronal subpopulations within nuclei10,20,21,22,23. This protocol shows that subcortical structures from both hemispheres control the trajectory of the forelimb23. This paradigm can be suitable to study other brain regions and models of brain disease.
The procedures involving animal use were conducted following local and national guidelines and approved by the corresponding Institutional Animal Care and Use Committee (Institute of Cellular Physiology IACUC protocol VLH151-19). Drd1-Cre transgenic male mice27, 35-40 days postnatal with C57BL/6 background were used in the current protocol. Mice were kept under the following conditions: temperature 22±1 °C; humidity 55%; light schedule 12/12 h with lights off at 7 p.m. and were weaned at postnatal day 21. Weaned pups were housed in same-sex groups of 2-5. Animals were housed in static housing with micro-barrier tops. Bedding consisted of sterile aspen shavings. Rodent pellets and RO-purified water were provided ad libitum, except when noted.
1. Surgical procedures
2. Reach-to-grasp training
3. Post-hoc histological confirmation
The reach-to-grasp task is a paradigm widely used to study shaping, learning, performance, and kinematics of fine skill movement under different experimental manipulations. Mice learn to execute the task in a couple of days and achieve more than 55% accuracy reaching a plateau after 5 days of training (Figure 2A,B). Similar to what has been previously reported, a percentage of animals do not perform the task appropriately (29.62%), and those should be excluded from further analysis30. These include a subset of non-learner mice (6/54 mice, 11.1%) that from the beginning of training miss the target aiming too far from the pellet or perform the grasping movement before they are in the correct position over the pellet. During the first training days, another group performed the task with high accuracy but started performing poorly by aiming too far from the pellet by day 3-4 (10/54 mice, 18.51%). Within this group, some mice start training using a preferred paw but change their preference after a few days; this has been previously discussed by Chen et al., 201430.
The reach-to-grasp movement is highly stereotypical from trial to trial and within animals (Figure 2). The use of high-speed videography allows tracking the trajectory of movements making it possible to analyze kinematics at different phases in the control condition and during optogenetic stimulation (Figure 1E and Figure 2C). This approximation results in a quantifiable assessment of parameters such as distance traveled, velocity, acceleration, end-point, and trajectory (Figure 2 C-E). It is possible to analyze both multi-reach trials, where the mouse reaches multiple times before retrieving the pellet, and single-trial events, where the mouse retrieves the pellet in a single reaching movement. The trial is finished when animals push the pellet away or reinitiate the trial by going to the rear of the cage. A quantitative comparison of trajectories under different experimental conditions is achieved with principal component analysis (PCA) followed by k-means clustering (Figure 3J-K)23,25.
During most training sessions, mice sometimes fail to grasp the pellet (missed trials). Some manipulations change the number of missed trials and hence the accuracy of the task. Then, it is essential to analyze differences between hit and missed trials. In our hands, missed trials result from changes in three distinct phases of the movement: (1) the paw modifies its trajectory before it crosses the chamber opening (initial error), (2) the paw modifies its trajectory after the paw crosses the opening (final error), and, (3) failure to collect the pellet (grasp error) (Figure 2 I,J)13. A general characteristic of missed trials is that mice start the grasping movement further away from the pellet (end-point) compared to hit trials (Figure 2G). Additionally, misses associated with the mouse posture are measured as significant differences in body angle between hit and missed trials (Figure 2H).
Depending on the structure or neuronal population targeted with optogenetics, one can expect differential effects over behavior7,19,23,31,32,33. The current protocol describes the impact of activating spiny projection neurons (SPNs) in the striatum in contralateral or ipsilateral hemispheres about the preferred paw used by the mouse during the reaching movement (Figure 3). Contralateral activation of D1 dopamine expressing SPNs, which give origin to the basal ganglia direct pathway, reduced grasping success to 64.9±8.8% compared to control conditions (Figure 3B). Kinematic analysis reveals that during optogenetic stimulation, the paw trajectory described an oscillatory pattern, shown by an increase in the traveled distance to 218.4±19.2% of control, leading to the incapability to target the pellet and an increase in initial error type I (Figure 3F). PCA analysis shows that all trials' trajectories during contralateral D1 SPNs activation separated in a cluster with almost no overlap with a control cluster, indicating a low similarity (Figure 3J-K).
On the other hand, activation of dSPNs in the ipsilateral side lead to an increase in trajectory dispersion shown by PCA analysis (Figure 3K) without affecting reaching success (120.7±23.6%, n = 4), total distance traveled (136.3±35.5%), or maximum velocity during the reaching phase (117.3±10.3%) (Figure 3C), indicating that ipsilateral D1 SPNs activation modified in some degree the reaching trajectory without changing the behavioral outcome (Figure 3G-I). Kinematic analysis indicates subtle changes in movement control by ipsilateral manipulation. Finally, body posture analysis shows a shift in body angle during contralateral D1SPNs activation (Figure 3L). It is highlighted that even this simple task has many components that permit proper movement execution to attain a goal.
Figure 1: Experimental setup. (A) Schematics of the behavioral chamber. A chamber made with acrylic sheet having the following dimensions in cm: 18.5 (h) x 8.5 (w) x 20 (d) with a front window 1 (w) x 5 (h) and a small shelf 8.5 (w) x 4 (d). (B) Photograph of LED cannula (left) and wireless receiver (right). (C) Side view of a mouse with the implanted LED cannula connected to the receiver while performing the reach-to-grasp task (the white arrowhead shows the receiver, the asterisk shows the dental cement holding the cannula, and the empty arrowhead shows the pellet). (D) Sketch of the experimental setup. Two high-speed cameras record the reach in two dimensions, while a third collected a panoramic view of the task, including the mouse's location from the mirror under the chamber. Animals were free to choose their preferred paw, and stimulation sides always refer to the side of the preferred paw. (E) The exact position of the cameras and representative image of each camera during a trial. This figure has been adapted from Reference23. Please click here to view a larger version of this figure.
Figure 2: Kinematic analysis of reaching behavior. (A) Timeline of the experiment from day-0 (d0) to day-25 (d25). (B) Performance during the reach-to-grasp task over time measured as pellet retrieval accuracy (total number of successful grasps/total number of trials x 100). (C) Example of trajectory tracking from a high-speed video. (D) Individual trajectories of the paw during the hit and missed trials. (E) Total distance traveled by the paw during the hit and missed trials. (F) Acceleration of the paw through the trajectory in the hit and missed trials plotted as distance vs. velocity. (G) Summary of end-points distance in hits = 3.16 mm, misses 6.08 mm (Mann-Whitney-Wilcoxon testmissed vs. hit U = 4184, p<0.0001, n = 28 mice). (H) Differences in body angle in the two kinds of trials, misses = 8.4±5.3°, hits 6.7±4° (Mann-Whitney-Wilcoxon test U = 6437, P = 0.0243, n = 28 mice). (I) Schematics of the three types of errors. (J) Proportions of the three kinds of errors made by the mice in control conditions. This figure has been adapted from Reference23. Please click here to view a larger version of this figure.
Figure 3: Optogenetic activation of contralateral and ipsilateral D1 SPNs during reach-to-grasp behavior. (A) Schematics of the stimulation paradigm. (B) Success rate compared to non-stimulation trials. (C) Change in traveled distance compared to control conditions. (D), (G) Two-dimensional plots of paths made by the paw with and without optogenetic stimulation. (E), (H) Total distance traveled by the paw during reaching movements. (F), (I) Summary of the distributions of the different kinds of errors. D1 contralateral: Initial error or type I (control = 18.2±11.6 %, stimulation = 79.9±8.2 % Fisher's exact test, p<0.0001). (J) Example of PCA analysis of the trajectories in control conditions compared to contralateral activation of D1SPNs. The shaded area represents the cluster of each condition, and the star is the cluster centroid. (K) Summary of the overlap between clusters of the different experimental conditions. (L) Changes in body angle. This figure has been modified from Reference23. Please click here to view a larger version of this figure.
The use of optogenetic manipulation of neuronal populations in well-defined behavioral paradigms is advancing our knowledge about the mechanisms underlying motor control7,23. Wireless methods are especially suitable for tasks that require tests on multiple animals or free movement34,35. Nevertheless, as techniques and devices are refined, it should be the go-to option for any behavioral task combined with optogenetics34,36.
The current method has many advantages because miniaturized LEDs provide a reliable light source with high intensity, and implants can be used in studies requiring stimulation over several days. Nevertheless, insertion of an optic fiber for opsin stimulation may mechanically damage brain tissue, cause infections and occasionally inflammation at the location of the canula37. Long-lasting high-frequency optogenetic stimulation has been demonstrated to produce heat and could cause phototoxity37. It is possible to reduce phototoxicity by using red-shifted effector opsins that are activated with red or even near-infrared light, which reduces the generation of heat38.
Also, since the pins to connect the receiver remain outside of the skull, sometimes mice can cause displacement or detachment of the cannula if dental cement is not applied correctly; this often leads to damage of brain tissue and decreases the number of subjects to be taken into account for further analysis. Recent developments have introduced fiberless optogenetics, which uses particles that can emit visible light through up-conversion luminescence in response to near-infrared light penetrating deep in the brain tissue36. Fiberless devices bring the opportunity to stimulate optogenetically over longer time frames in freely behaving animals with unnoticeable implants35. This allows for unrestrained motion even in water mazes, to have multiple animals housed together (to avoid the impact of social isolation), and to study animals in more naturalistic settings35,36.
Even with all the advantages that fiberless optogenetics offers, it still faces biocompatibility and heat generation challenges. The efficiency of photon conversion also limits it. Finally, further improvement is required for high emission efficiency34,36.
The combination of this paradigm with high-speed videography allows for kinematic analysis under different experimental conditions. This offers sensitive detection of even subtle effects over distinct components of behavior and motor control. As more analytic tools develop, it is possible to have online kinematic analysis and an in-depth characterization of motor behavior in different contexts. A thorough quantification of mouse reaching movement kinematics has been recently published by Becker et al.25.
The possibility of selectively manipulating neuronal populations in freely moving animals with minimally invasive techniques allows one to dissect the contribution of specific neuronal types in precise behavioral tasks23. The reach-to-grasp task is a translatable paradigm for motor behavior13,19. It is known that conserved brain structures participate in the different phases of acquisition, learning, and performance of the task7,12,23. Revealing the neural circuits that underlie this behavior will increase the understanding of motor control. Several studies highlight the importance of bi-hemispheric control over unimanual tasks, especially when high dexterity is needed20,21,22. The kinematic analysis combined with optogenetic manipulations allows for the investigation of the different mechanisms of this complex behavior. It could help to analyze the contribution of sensory-motor feedback in normal conditions and disease models.
The authors have nothing to disclose.
This work was supported by the UNAM-PAPIIT project IA203520. We thank the IFC animal facility for their help with mouse colonies maintenance and the computational unit for IT support, especially to Francisco Perez-Eugenio.
Anaesthesia machine | RWD | R583S | Isoflurane vaporizer |
Anesket | PiSA | Ketamine | |
Breadboard | Thorlabs | MB3090/M | Solid aluminum optical breadboard |
Camera lense | Canon | 50mmf/ 1.4 manual focus lenses (c-mount) | |
Camera system | BrainVision | MiCAM02 | Camera controller and synchronizer |
Cotton swabs | |||
CS solution | PiSA | Sodium chloride solution 9% | |
Customized training chamber | In house | ||
Drill bit #105 | Dremel | 2 615 010 5AE | Engraving cutter |
Dustless precission chocolate pellets | Bio-Serv | F05301 | |
Ethyl Alcohol | J.T. Baker | 9000-02 | Ethanol |
Eyespears | Ultracell | 40400-8 | Eyespears of absorbent PVA material |
Fluriso | VetOne | V1 502017-250 | Isoflurane |
Glass capillaries | Drumond Scientific | 3-000-203-G/X | Pipettes for NanoJect II |
Hidrogen peroxide | Farmacom | Antiseptic | |
High-speed camera | BrainVision | MiCAM02-CMOS | Monochrome high-speed cameras |
Infrared emmiter | Teleopto | ||
Insulin syringe | |||
LED cannula | Teleopto | TelC-c-l-d | LED cannula 250um 487nm light |
Micropipette 10 uL | Eppendorf | Z740436 | |
Micro-pipette puller | Sutter | P-87 | Horizontal puller |
Microscope LSM780 | Zeiss | Confocal microscope | |
Microtome | |||
Mock receiver | Teleopto | ||
NanoJect II | Drumond Scientific | 3-000-204 | Micro injector |
Oxygen tank | Infra | na | |
pAAV-EF1a-double.floxed-hChR2(H134R)-mCherry-WPRE- HGHpA | Addgene | 20297 | Viral vector for ChR-2 expression |
Parafilm | |||
Paraformaldehyde | Sigma | P-6148 | |
Phosphate saline buffer | Sigma | P-4417 | Phosphate saline buffer tablets |
Pipette tips 10 uL | ThermoFisher | AM12635 | 0.5-10 uL volume |
Pisabental | PiSA | Sodium pentobarbital | |
Plexiglass | commercial | Acrylic sheet | |
Povidone iodine | Farmacom | Antiseptic | |
Procin | PiSA | Xylacine | |
Puralube | Perrigo pharma | 1228112 | Eye lubricant 15% mineral oil/85% petrolatum |
Rotary tool | Kmoon | Mini grinder | Standard |
Scalpel | |||
Scalpel blade | |||
Stereotaxic apparatus | Stoelting | 51730D | Digital apparatus |
Super-Bond C&B | Sun Medical | Dental cement | |
Surgical dispossable cap | |||
Teleopto remote controller | Teleopto | ||
Tg Drd1-Cre mouse line | Gensat | 036916-UCD | Transgene insertion FK150Gsat |
Tissue adhesive | 3M Vetbond | 1469SB | |
TPI Vibratome 1000 plus | Peico | Microtome | |
Vectashield mounting media with DAPI | Vector laboratories | H-1200 | Mounting media |
Wireless receiver | Teleopto | TELER-1-P |