Summary
Spinal cord injury (SCI) results in a disruption of information between the brain and the spinal circuit. Electrical stimulation of the mesencephalic locomotor region (MLR) can promote locomotor recovery in acute and chronic SCI rodent models. Although clinical trials are currently under way, there is still debate about the organization of this supraspinal center and which anatomic correlate of the MLR should be targeted to promote recovery. Combining kinematics, electromyographic recordings, anatomic analysis, and mouse genetics, our study reveals that glutamatergic neurons of the cuneiform nucleus contribute to locomotor recovery by enhancing motor efficacy in hindlimb muscles, and by increasing locomotor rhythm and speed on a treadmill, over ground, and during swimming in chronic SCI mice. In contrast, glutamatergic neurons of the pedunculopontine nucleus slow down locomotion. Therefore, our study identifies the cuneiform nucleus and its glutamatergic neurons as a therapeutical target to improve locomotor recovery in patients living with SCI.
Keywords: motor control, mesencephalic locomotor region, mouse genetics, kinematic, electrophysiology, spinal cord injury, functional recovery
Graphical abstract
Highlights
-
•
Glutamatergic CnF is more important than PPN to spontaneous motor recovery
-
•
Glutamatergic CnF contributes more efficiently than PPN to spontaneous recovery
-
•
Only activation of glutamatergic CnF initiates locomotion after chronic SCI
-
•
Only activation of glutamatergic CnF improves stepping ability after chronic SCI
Roussel et al. characterize the distinct contribution of midbrain neurons to locomotor recovery after spinal cord injury (SCI). Although both glutamatergic cuneiform nucleus (CnF) and pedunculopontine nucleus contribute to spontaneous motor recovery, only activation of glutamatergic CnF initiates locomotion and improves stepping ability after chronic SCI.
Introduction
Although the spinal cord contains all the circuitry necessary for locomotion, people with spinal cord injury (SCI) are unable to walk due to the absence of commands from the brain. Motor recovery can be partially achieved by rehabilitative training and neuromodulatory therapies intended to promote the descending motor command from the brain to the spinal cord after SCI.1,2,3,4,5,6,7 Recently, deep brain stimulation of the mesencephalic locomotor region (MLR), a supraspinal locomotor center, has been shown to improve locomotor functions in rats with chronic but incomplete SCI with even a few spared axonal fibers.6,7,8 Interestingly, these functional changes come with an extensive reorganization in the brainstem region after SCI,9 thus supporting the important contribution of the MLR to locomotor recovery after incomplete SCI.
The anatomic correlate of this functional region has been initially identified as the cuneiform nucleus (CnF), a cluster of glutamatergic neurons, and the pedunculopontine nucleus (PPN), a cluster of glutamatergic and cholinergic neurons. Despite a growing body of evidence from mouse genetics studies,10,11,12,13,14,15,16,17,18 there is still debate about the exact anatomic correlate of this supraspinal locomotor center. Previously, using a head-restrained mouse on an air-lifted ball,19,20 it was shown that optogenetic stimulation of glutamatergic neurons of the MLR (including the CnF and PPN) can generate locomotion in contrast to cholinergic or GABAergic MLR neurons. More recently, using smaller volumes of adeno-associated virus to circumscribe photostimulation to a nucleus of interest, it was shown that glutamatergic CnF neurons can initiate locomotion in freely behaving mice,10,11,15 whereas glutamatergic PPN neurons exhibit higher variability in generating locomotion.10,11,14,15,16 Furthermore, glutamatergic CnF neurons accelerate locomotor rhythm and speed during ongoing locomotion, whereas glutamatergic PPN neurons only prolong the stance phase, contributing to postural adjustments and slowing locomotor rhythm in normal conditions.10,15 Although cholinergic PPN neurons were initially reported to increase speed during head-restrained locomotion,20 more recent studies suggest that they do not actually modulate locomotor speed in freely behaving mice.10,11 Although deep brain stimulation (DBS) in the PPN7 or the CnF8 can improve locomotor recovery in animal models of SCI, there are still questions about which neuronal population is the most efficient. With ongoing clinical trials aiming to assess DBS in the vicinity of the MLR of patients with incomplete SCI,21 it is now urgent to gain a better understanding of how these distinct neuronal populations of the midbrain can contribute to and promote functional locomotor recovery after SCI.
We hypothesize here that glutamatergic neurons of the CnF and PPN contribute to spontaneous locomotor recovery after SCI and that selective activation of glutamatergic CnF, but not glutamatergic PPN neurons, can further improve locomotor functions. Combining detailed kinematics, electromyographic (EMG) recordings, anatomic analyses, and mouse genetics, we found that glutamatergic CnF neurons modulate locomotor pattern and rhythm and enhance motor efficacy in ipsilesional hindlimb muscles after SCI, in contrast to glutamatergic neurons of the PPN. As a therapeutical approach, we also found that 1-s trains of photostimulation delivered above glutamatergic CnF neurons promote functional recovery of initiation and locomotion after SCI, whereas glutamatergic PPN neurons slow down locomotion, thus identifying the CnF and its glutamatergic neuronal population as a neurosurgical target to promote functional locomotor recovery in patients with SCI.
Results
Mice exhibit asymmetrical locomotor pattern following incomplete SCI
Adult mice underwent a lateral hemisection at the low thoracic level, abolishing supraspinal inputs from the brain on the left side of the lumbar spinal cord controlling hindlimb locomotion. Using kinematic and electromyographic recordings, we assessed spontaneous locomotor recovery after SCI (Figures 1 and S1). As previously reported in other animal species,22,23,24,25,26,27,28 mice initially displayed a transient paralysis on the side of the SCI over the first week post-SCI (Figures 1C, 1D, 1G and 1H) with a decrease in toe movement and forward foot placement (Figures 1E and 1F) and in the motor activity of the flexor, which were co-activated with otherwise weak extensors (Figures 1G–1J). This likely contributed to hind-paw dragging during swing and a very short stance. Although this limb displayed some locomotor-like movements, there was loss of weight support and no plantar stepping. Eventually, within a few weeks after SCI, the ipsilesional limb (i.e., on the lesion side) increased its stance duration and extensor activity, in addition to exhibiting a better coordination between its flexor and extensor locomotor activities (Figures 1I and 1J). This in turn reduced hind-paw dragging during swing and improved plantar stepping ability (Figures 1D and 1G), thus contributing to locomotor recovery of the ipsilesional limb over time.
No anatomic reorganization of medullar projecting MLR neurons after SCI
Given that the medullary reticular formation relays MLR inputs during locomotion29,30,31 and that SCI leads to an extensive reorganization of projections between midbrain and brainstem nuclei after SCI,9 we hypothesized an asymmetrical reorganization of the connectivity between glutamatergic neurons of MLR nuclei and their postsynaptic medullary targets following incomplete SCI. To test this hypothesis, a retrograde tracer Fast Blue was injected stereotaxically in the contralesional medullary reticular formation of adult transgenic VGlut2-Cre mice 7 weeks after SCI or sham surgery (Figure 2A; mice with Fast Blue injections leaking in the ipsilesional brainstem were excluded from our analysis, Figure S2). We specifically targeted the gigantocellular reticular nucleus, the alpha and ventral portion of the gigantocellular reticular nucleus, and the lateral paragigantocellular nucleus, which are important to the motor command.32,33,34,35 Combining immunohistochemistry and stereological techniques (Figure 2B), we identified and quantified the neurotransmitter phenotype (e.g., glutamatergic, cholinergic, or both glutamatergic/cholinergic) of retrogradely labeled neurons in ipsilesional (left) and contralesional (right) CnF and PPN nuclei.
Using the most ventral part of the fourth ventricle as a reference, our 3D and 2D reconstructions illustrate a bilateral and symmetrical organization of CnF and PPN nuclei according to their neurotransmitter phenotype (e.g., glutamatergic, cholinergic, or double) and their unilateral projection in the contralesional medullary reticular formation (Figures 2C–2E). We found a high density of medullary-projecting glutamatergic neurons in both left and right CnF and PPN, but very few cholinergic cells within the PPN (Figures 2C–2E), suggesting a bilateral organization of brainstem-projecting MLR populations in both sham and SCI mice. As previously reported,36,37,38,39 we also found a few double glutamatergic/cholinergic neurons in the PPN (Figure S2). Nevertheless, in contrast to a previous SCI study,9 the cell density profile and count of glutamatergic and cholinergic neurons of CnF or PPN nuclei of SCI animals were not significantly different from those of sham mice (Figures 2D–2G), suggesting that the organization of glutamatergic and cholinergic MLR neurons projecting to brainstem locomotor circuits was maintained after SCI.
Genetic deletion of glutamatergic neurons of the contralesional CnF or PPN impairs spontaneous locomotor recovery in chronic SCI mice
Given the functional role of the MLR to locomotor recovery after SCI,6,8,9 we next evaluated the requirement of glutamatergic neurons of specific MLR nuclei to functional recovery (Figures 3, S3, and S4). To test this requirement, locomotor functions were assessed before and after conditional genetic ablation of glutamatergic neurons of the contralesional (right) CnF or PPN in chronic mice that had spontaneously recovered locomotor functions 8 weeks after left SCI (Figure 3A). We ensured that both CnF and PPN groups exhibited a similar behavioral recovery 8 weeks after SCI,40 prior to genetic ablation of their glutamatergic neurons, and both groups showed the same extent of SCI on postmortem analysis (Figure 3B). As previously reported,41,42 the cre-dependent virus (AAV-mCherry-flex-DTA) allowed us to visualize the extent of the injection site by mCherry expression in all neurons and to restrict the genetic ablation to Cre-expressing neurons (Figures S3A–S3E). In comparison with their contralateral control nuclei, there was a significant decrease of about 50% in NeuN-expressing neurons with no difference in the number of ChAT-expressing cholinergic neurons of the PPN (Figures S3F–S3I). During treadmill locomotion (Figures 3C–3E), genetic ablation of glutamatergic CnF neurons decreased the angular excursion of the ipsilesional hip in 60% of mice (Figures 3C and 3D) but did not impair their intralimb and interlimb coordination overall (Figures 3E and S4C–S4E). In contrast, genetic ablation of glutamatergic PPN neurons had almost no significant locomotor effects, except for a decrease in the strength of coupling between the hip and the ankle (Figures 3E and S4A).
During swimming (Figures 3G–3I), however, genetic ablation of glutamatergic CnF neurons significantly decreased the angular excursion of the hip in 60% of mice, the knee in 80% of mice, and the ankle in 80% of mice, whereas ablation of glutamatergic PPN neurons significantly decreased the angular excursion of the hip in 20% of mice, the knee in 80% of mice, and the ankle in 50% of mice (Figure 3H). Genetic deletion of glutamatergic CnF neurons also decreased the swim cycle frequency and power stroke in 80% of CnF mice (Figure 3H) and swimming speed in all CnF mice (Figure 3J), whereas fewer mice were impaired upon genetic ablation of glutamatergic PPN neurons. These findings argue that glutamatergic neurons of the contralesional CnF are more important than their PPN counterparts to spontaneous locomotor recovery after SCI.
Glutamatergic CnF neurons contribute to spontaneous locomotor recovery after SCI
Having shown that glutamatergic neurons of the contralesional (right) CnF or PPN are important to spontaneous locomotor recovery after left SCI, we next assessed their functional contribution by evaluating changes in motor efficacy throughout the step cycle upon photostimulation (Figures 4A and S5 for the extent of the cre-lox recombination and location of optical fibers). The extent of lesion size and changes over time in locomotor score were similar for both CnF and PPN groups (Figure 4B).40
To assess changes in motor efficacy as a proxy of dynamic changes in polysynaptic connectivity between the MLR and the motoneuronal pools, the percentage of failure, excitatory, and inhibitory phase-dependent EMG responses were measured in the ipsilesional flexor and extensor muscles over a 50-ms time window upon photostimulation of 10 ms pulse duration delivered during locomotion at steady and comfortable speed before and after SCI (Figure 4C). An increase in the number of motor spikes indicated excitatory motor responses, whereas a decrease indicated inhibitory motor responses, and an absence of change indicated a failure. We quantified changes over time in the proportion of motor responses in the flexor muscle during the swing phase (Figures 4D–4F) and in the extensor during the stance phase (Figure S7) as function of the locomotor score of the ipsilesional hindlimb. There was a high failure rate in motor responses in both flexor and extensor muscles 1 week after SCI (Figures 4D and S6B), which returned eventually toward pre-injury levels over time while the animals resumed spontaneous locomotor recovery. Indeed, changes in the failure rate in both muscles correlated negatively with the locomotor score of the ipsilesional hindlimb (Figures 4D and S6B): the lower the failure rate, the higher the locomotor score, thus suggesting a transient interruption of the descending motor drive after SCI.
Regarding the flexor muscle during the swing phase (Figures 4E and 4F), changes in the proportion of excitatory motor responses correlated significantly only with changes in locomotor score upon photostimulation of glutamatergic CnF neurons (Figure 4E). In contrast, changes in the proportion of inhibitory motor responses correlated only with changes in the locomotor score upon photostimulation of glutamatergic PPN neurons (Figure 4F), suggesting that glutamatergic CnF neurons by their excitatory drive contribute more efficiently than the PPN to motor recovery of the flexor muscle during the swing phase after SCI.
Regarding the extensor muscle during the stance phase (Figures S6C and S6D), correlations between changes in the proportion of inhibitory motor responses and locomotor scores were positive upon activation of either the CnF or PPN (Figure S6D). However, changes in the proportion of excitatory responses correlated significantly and positively with changes in the locomotor score upon photostimulation of glutamatergic CnF neurons, whereas the correlation was negative upon photostimulation of glutamatergic PPN neurons (Figure S6C), thus supporting overall a higher excitatory efficiency of the CnF over the PPN in spontaneous recovery of the extensor muscle during the stance phase after SCI.
Overall, changes in the density of motor spikes in excitatory and inhibitory motor responses were positively correlated with changes in locomotor score in both flexor and extensor muscles upon photostimulation of the CnF or PPN (Figure S7). However, changes in the amplitude of motor spikes were only correlated with the locomotor score in excitatory responses of the flexor evoked upon glutamatergic CnF neurons (Figure S8). Taken together, these changes in the excitatory motor drive and behavior suggest that glutamatergic CnF neurons by their action on some hindlimb muscles might contribute more efficiently than PPN neurons to spontaneous recovery of stepping ability after SCI.
Glutamatergic neurons of the CnF promote initiation of locomotion in chronic SCI mice
Having shown that glutamatergic neurons of both the CnF and PPN are necessary and contribute to some extent to spontaneous recovery after SCI, we next investigated whether stimulation of one of these neuronal populations would be more efficient in promoting initiation of locomotion after chronic SCI (Figures 5 and S9). As illustrated by their trajectory in open field (Figures 5A), 1-s trains of photostimulation delivered above glutamatergic neurons of the right CnF generated consistent episodes of locomotion (Figures 5B and 5D: 100% of trials at 20 Hz and 84% at 50 Hz) with long-distance displacement (Figures 5A and 5D). As illustrated by body direction (Figure 5C), the first 500 ms of stimulation generated already straight locomotion (Figure 5C) at very short latency (Figure 5E). In contrast, 1-s trains of photostimulation delivered above right glutamatergic PPN neurons generated inconsistent and unreliable bouts of locomotion (Figures 5I–5K: 23% of trials at 20 Hz and 34% at 50Hz to evoke locomotion) and always occurred with a long latency after the end of the photostimulation (Figure 5L), as previously reported.11 In contrast to 20 Hz or 50 Hz, 5 Hz and 10 Hz trains of photostimulation of glutamatergic CnF or PPN neurons failed to evoke locomotor bouts (Figures S9A and S9B). Regarding body direction, whereas glutamatergic CnF neurons generated straight locomotion with body displacement over the first 500 ms of photostimulation (Figures 5C and 5F: 100% of trials at 20 Hz and 84% at 50 Hz), glutamatergic PPN neurons in contrast failed to initiate straight locomotion (Figures 5J and 5M: 3% of trials at 20 Hz and 5% at 50 Hz) but systematically evoked head rotation ipsilaterally to the stimulation without body displacement, as illustrated by shorter arrows (Figure 5J, 100% of trials). Although electrical stimulation in the PPN has recently been shown to induce stress,7 we did not find any signs of discomfort upon optogenetic stimulation (Figures S9C–S9F). In summary, sole activation of glutamatergic neurons of the CnF generates straight locomotion in chronic SCI mice.
Activation of glutamatergic CnF neurons improves posture and recovery of basic and voluntary stepping in chronic SCI mice
Having shown that glutamatergic neurons of the CnF initiate episodes of locomotion in animals at rest, in contrast to the PPN (Figure 5), we next investigated how activation of these neurons can modulate posture and voluntary locomotion in a corridor. One-second train of photostimulation of glutamatergic neurons of the right CnF increased the posture (i.e., iliac crest height), step height, and step frequency, and enhanced the locomotor speed of chronic SCI mice during ongoing locomotion (Figures 6A–6C), whereas neurons of the PPN decreased locomotion and postural tone (Figures 6D and 6E). Similar observations were also reported during treadmill locomotion at a comfortable steady speed (Figure 7B for the CnF and Figure S11B for the PPN). Moreover, changes in postural tone increased linearly as a function of changes in locomotor speed: photostimulation of glutamatergic CnF neurons increased speed and posture, whereas glutamatergic PPN neurons decreased these parameters (Figure S10), thus suggesting that these two neuronal populations could modulate gait and posture.
Patients with SCI exhibit higher variability in their intralimb coordination that impedes their complete recovery.43,44 We therefore hypothesize that by decreasing this variability, photostimulation of the glutamatergic neurons of the CnF might improve stepping ability. To further investigate that possibility, we analyzed kinematic changes of the intralimb coordination during treadmill locomotion at steady and comfortable speed of chronic SCI mice (Figure 7). As a proxy of variability, we measured the coefficient of variation of joints’ angular excursion, which was especially high during the swing phase of locomotion prior to stimulation (black traces in Figure 7C). Photoactivation of the glutamatergic CnF neurons significantly decreased the variability in hindlimb joints (blue traces in Figure 7C), with the strongest changes in the hip and ankle followed by the knee (blue traces in Figures 7C, 60% of trials in the hip, 50% in the ankle, and 25% in the knee). Interestingly, this decreased variability during the swing phase co-varied according to the coefficient of variation of the hip. Indeed, when the coefficient of variation of the hip was significantly reduced, the variability of the ankle joint decreased significantly in 87% of trials and that of the knee in 47% of trials, thus supporting smoother and steadier stepping. Furthermore, analyses of EMG recordings also showed that activation of glutamatergic neurons of the CnF decreased the burst duration of flexor and extensor muscles of both ipsi- and contralesional hindlimbs (Figures 7D and 7E for the ipsilesional hindlimb and Figure S11A for the contralesional hindlimb), thus contributing to an increased locomotor speed. Stimulation also increased the burst amplitude of the ankle dorsiflexor activity (e.g., tibialis anterior), contributing to increasing the step height and toe clearance during the swing phase of locomotion. Taken together, these results suggest that stimulation of glutamatergic neurons of the CnF can efficiently modulate the spatiotemporal recruitment of muscles, smoothen and stabilize the intralimb joint coordination of the ipsilesional hindlimb, and enhance speed, thus improving overall locomotor recovery after chronic SCI.
Unloading the body weight improves locomotor functions driven by glutamatergic CnF neurons in chronic SCI mice
Although sensory feedback participates in functional locomotor recovery after SCI, unloading the body weight (even partially) is often combined with physical training to promote motor recovery in incomplete SCI patients and animal models.45,46 Therefore, we tested whether 1-s trains of photostimulation delivered above glutamatergic neurons of either the contralesional (right) CnF or PPN can promote locomotor function while unloading the animal’s weight during swimming in chronic SCI (Figures S12 and S13).
Seven weeks after SCI, activation of glutamatergic CnF neurons increased swimming speed and frequency (Figures S12A–S12D) and improved the trajectory of the hindlimb joints (Figure S12E), in addition to increasing the angular excursion of the hip in 60% of mice and of the knee and ankle in 80% of mice (Figure S12F). Furthermore, activation of the CnF significantly decreased the variability of hindlimb joints, thus improving fluidity of the movement during the power stroke and return stroke of the ipsilesional hindlimb in more than 80% of trials in the hip, knee, and ankle joints (Figure S12G). In contrast, activation of glutamatergic neurons of the PPN decreased swimming speed and had very little effect on intralimb coordination of the ipsilesional hindlimb (Figure S13). Taken together, these results show that activation of glutamatergic CnF neurons promotes more efficient and smoother intralimb coordination of the ipsilesional hindlimb, thus improving functional locomotor recovery of the ipsilesional hindlimb of chronic SCI mice.
Discussion
Our results reveal new concepts that fundamentally alter the understanding of the distinct contribution of MLR nuclei to functional locomotor recovery following SCI and their potential as DBS targets to promote rehabilitation in patients with chronic SCI: (1) despite an absence of neuroanatomic changes within the brainstem, (2) both glutamatergic neurons of the CnF and PPN contribute functionally differently to locomotor recovery; (3) glutamatergic neurons of the CnF are more important than those of the PPN for spontaneous locomotor recovery; (4) if glutamatergic PPN neurons contribute to the functional inhibitory drive in both flexor and extensor muscles of the ipsilesional hindlimb, only glutamatergic neurons of the CnF contribute to the functional excitatory drive of both flexor and extensor muscles; moreover (5) activation of glutamatergic neuronal populations of the CnF with 1-s trains of photostimulation at 20 Hz improve the intralimb coordination of the ipsilesional hindlimb, as well as gait and posture during basic locomotion while stepping on a treadmill and during voluntary locomotion while walking on the ground or swimming in a pool in chronic SCI. Overall, our results argue that clinical trials should consider targeting the CnF rather than the PPN, and especially glutamatergic neurons of the CnF, in patients with SCI.
The PPN is a suboptimal target for reliably generating locomotion
Using animal models, the PPN has been initially identified as an anatomic correlate of the MLR based on electrical stimulation and postmortem reconstructions.47,48,49 Given that Parkinson’s disease (PD) patients typically display difficulties in initiating and executing locomotor movements, with rigidity, tremor, and postural instability,50,51 DBS of the PPN has been investigated in advanced parkinsonian patients with motor complications who are refractory to pharmacological treatments. Although PPN stimulation improves gait and postural adjustments in some parkinsonian patients,52,53 the functional outcomes have been extremely variable across clinical studies.54 Such variability, also reported in several animal models of PD,55,56 has recently raised questions about the efficacy of the stimulation parameters and the anatomic correlates of the MLR.57,58
Although there is still no consensus regarding the most appropriate stimulation parameters, as little is known about the neural mechanisms activated by DBS in the vicinity of the PPN,59,60,61 recent optogenetic studies of glutamatergic neurons of the PPN have shown functional discrepancies in animal models with locomotor initiation, deceleration, head rotation, and even anxious-like behaviors,10,11,17,18 that could reflect the complexity of this nucleus. Indeed, in addition to the multiple pathways running through it, the PPN exhibits an extreme divergence in its presynaptic inputs and postsynaptic projections.11,62 As shown by recent optogenetic studies, neuronal populations within the PPN can exhibit distinct functional effects according to their postsynaptic projection. If little is known about medullary-projecting PPN neurons, which will be the population most likely involved in locomotion, there is evidence that substantia nigra-projecting PPN neurons generate grooming and handling,14 striatal-projecting PPN axons generate head rotation,63 and spinally projecting PPN neurons induce locomotor arrest and rearing,14 thus arguing that the PPN is a complex neurological structure with a wide range of functional motor outcomes.
Glutamatergic neurons of the CnF enable stepping ability after SCI without discomfort
Recently, electrical stimulation of the PPN has been shown to initiate bipedal locomotion of chronic SCI rats contused at the thoracic level.7 However, electrical PPN stimulation also appears to induce pain as reported by a grimace test in these chronic SCI animals. However, using optogenetic tools in the mouse, we found that photoactivation of glutamatergic neurons of the PPN did not induce any signs of discomfort in chronic SCI mice. Although we cannot exclude some discrepancies between both animal species and SCI models, electrical stimulation is not as specific as optogenetic activation in recruiting different neuronal populations, axons of passage, and unwanted neural structures in the vicinity of the electrode. By their caudal location to the PPN, electrical stimulation of the PPN might have also recruited the Kölliker/parabrachial nuclei involved in grimaces and aversive responses during pain.64,65 In contrast, optogenetic stimulation of glutamatergic neurons, especially in the CnF, resulted in almost no or very little apparent discomfort in chronic SCI mice.
Electrical stimulation of the CnF has also been recently shown to promote quadrupedal locomotion of chronic rats with a severe thoracic section sparing only the ventromedial funiculus.8 Using a less severe thoracic SCI, we also found that optogenetic photostimulation of glutamatergic neurons of the CnF with 1-s trains of 20 Hz increased postural tone and initiated locomotion in chronic SCI mice, with functionally better stepping ability and smoothness in locomotion than during spontaneous episode of locomotion. Although stimulation of glutamatergic neurons of the PPN usually failed to evoke locomotion with our standard stimulation protocol at 20 Hz, increasing the stimulation frequency up to 50 Hz induced systematic upper body rotation ipsilaterally to the stimulation followed by very slow locomotor movements. These locomotor bouts, however, were not reliable and occurred only at very long latency after the end of the stimulation before and after SCI, as previously shown in intact mice.11 Interestingly, using trains of 40 Hz for 10 s, glutamatergic neurons of the PPN have been recently shown to initiate locomotion at long latency in intact and akinetic mouse models following a pharmacological block of dopaminergic transmission.16 Similar results have also been reported upon photostimulation at 20 Hz for 10 s of glutamatergic neurons of the CnF in intact mice and after severe acute dopaminergic depletion.12,13 Although we cannot exclude the possibility that long photostimulation for 10 s could also generate locomotion after SCI, stimulations of 20 Hz for 1 s in the CnF were sufficient to initiate locomotion and improve inter- and intralimb coordination after chronic SCI. Overall, our findings suggest that the CnF and especially glutamatergic neurons of the CnF are a better target than the PPN for promoting functional recovery of locomotor initiation in chronic SCI.
Glutamatergic CnF neurons are necessary and sufficient to improve functional recovery during locomotion
Genetic anterograde and retrograde tracing studies have shown a direct connection between glutamatergic neurons of both the CnF and PPN nuclei and the medulla.11,14 Pharmacological, lesion, cooling, and genetic deletion studies have previously shown that reticulospinal pathways of the medullary reticular formation relay supraspinal MLR inputs to the spinal locomotor circuit.29,30,31,35 Not surprisingly, reticulospinal pathways appear to contribute to functional locomotor recovery following SCI,9,66,67,68 presumably by relaying MLR and/or cortical inputs. Although anatomic reorganization has been reported between medullary-projecting midbrain neurons following cervical SCI9 and axonal midbrain sprouting in the medulla after thoracic SCI,8 we found no anatomic changes in medullary-projecting CnF or PPN glutamatergic neurons after thoracic SCI. This discrepancy in retrogradely labeled neurons could reflect some changes in other genetically unidentified neurons, or more likely differences in SCI models. However, despite the absence of anatomic changes, we found functional behavioral and motor improvements when stimulating glutamatergic CnF neurons. Indeed, genetic deletion of glutamatergic neurons of the CnF or PPN impaired spontaneous locomotor recovery during walking and swimming, but deficits were stronger upon genetic ablation of CnF neurons than those of the PPN. Similarly, motor efficacy measurements also revealed that excitatory motor responses evoked in ipsilesional flexor and extensor muscles by glutamatergic neurons of the CnF correlated robustly with changes in locomotor recovery. This was not the case with the PPN, suggesting that glutamatergic neurons of the CnF contribute more efficiently than those of the PPN to spontaneous recovery of locomotor functions following SCI.
Glutamatergic CnF neurons promote functional locomotor recovery in chronic SCI mice
As previously shown before SCI,10 activation of glutamatergic CnF neurons increased postural tone as well as locomotor pattern and rhythm in chronic SCI mice during treadmill locomotion, as well as during voluntary locomotion while walking in a corridor or swimming in a pool, whereas activation of glutamatergic PPN neurons usually slowed locomotor rhythm, eventually inducing locomotor arrests. Interestingly, similar decelerations and stops have also been recently reported upon photostimulation of PPN neurons projecting to the spinal cord in intact animals.14
Although far from complete, there is growing understanding of the neural brainstem networks underlying locomotion.69,70 Recent optogenetic studies have shown that photostimulation of glutamatergic neurons of the LPGi initiates locomotion and increases locomotor rhythm,35 presumably by relaying glutamatergic inputs of the CnF. In contrast, photoactivation of glutamatergic or glutamatergic V2a (Lhx3/Chx10) expressing neurons of the gigantocellular reticular nucleus (GI ) reset locomotor rhythm and induce locomotor arrests,33,34,71,72 presumably by relaying glutamatergic inputs of the PPN. Further studies are needed to genetically dissect the neural mechanisms of these medullary nuclei and their reticulospinal projections to motor recovery after SCI. Overall, our results support the hypothesis that glutamatergic CnF neurons are more efficient than those of the PPN in improving stepping ability of the ipsilesional hindlimb, in addition to enhancing gait and posture, in chronic SCI mice during stereotyped and voluntary locomotion.
Limitations of the study
With a current clinical trial assessing MLR DBS in patients with incomplete SCI,21,73 our findings reveal that the CnF offers a better and more reliable neurological target in comparison with the PPN for promoting recovery of motor and locomotor functions, strengthening the importance of evaluating the role of the CnF and especially glutamatergic neurons of the CnF in patients suffering from SCI. Our results also highlight the importance of continuing genetic dissection of functional microcircuits within the PPN in biomedical research. Although optogenetic and optical technologies are still in their infancy regarding first-in-human clinical trials targeting more accessible neural structures to restore sensory loss,74,75 advances are needed for control of deep brain neuronal populations to promote recovery of gait and posture in humans suffering from SCI or neurodegenerative diseases, such as PD or amyotrophic lateral sclerosis. In summary, our current findings in an animal model of SCI suggest that DBS of the CnF or optogenetic activation of glutamatergic CnF neurons should be further investigated in chronic SCI patients.
STAR★Methods
Key resources table
REAGENT or RESOURCE | SOURCE | IDENTIFIER |
---|---|---|
Antibodies | ||
Anti-Choline Acetyltransferase polyclonal antibody | Chemicon-millipore | Cat# AB144P; RRID: AB_2079751 |
Anti-Cre recombinase monoclonal antibody | Millipore | Cat# MAB3120; RRID: AB_2085748 |
Anti-NeuN polyclonal antibody | Chemicon-Millipore | Cat# ABN78; RRID: AB_10807945 |
Bacterial and virus strains | ||
AAV2/9 EF1-DIO-hChR2(H134R)-mCherry | Canadian neurophotonics platform | RRID: SCR_016477 |
AAV2/9 EF1-DIO-hChR2(H134R)-YFP | Canadian neurophotonics platform | RRID: SCR_016477 |
AAV2/9-EF1a-mCherry-flex-DTA | Canadian neurophotonics platform | RRID: SCR_016477 |
Chemicals, peptides, and recombinant proteins | ||
Fast Blue | Polysciences | Cat# 17740-5 |
Experimental models: Organisms/strains | ||
VGlut2-IRES-Cre | The Jackson Laboratory | RRID: IMSR_JAX:016963 |
Software and algorithms | ||
Graphpad Prism v9.5.0 | Graphpad software |
https://www.graphpad.com/scientific-software/prism/; RRID: SCR_002798 |
MATLAB R2013b | Mathworks |
https://www.mathworks.com/products/matlab.html; RRID: SCR_001622 |
Spike 2 v8.06 | Cambridge electronic devices | http://ced.co.uk/products/spkovin; RRID: SCR_000903 |
Zen | Zeiss |
http://www.zeiss.com/microscopy/en_us/products/microscope-software/zen.html#introduction; RRID: SCR_013672 |
Streampix, Digital Video Camera Recording software | Norpix | https://www.norpix.com/products/streampix/streampix.php |
MATLAB scripts | Bretzner’s lab (for this study) | https://github.com/Malem83/LocoMUA_MLR_SCI |
Resource availability
Lead contact
Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Frederic Bretzner (frederic.bretzner.1@ulaval.ca).
Materials availability
This study did not generate new unique reagents.
Experimental model and subject details
VGlut2-IRES-Cre (RRID: IMSR_JAX:016,963) mouse strain was maintained on a mixed genetic background (129/C57Bl6). Given the prevalence and severity of spinal cord injury in human and rodent males76 and the weaker functional recovery in comparison to female rodents,77 adult (≥60 days) male mice weighing approximately 30 g were used in this study. Before experiments, mice were housed in groups with a maximum of 5 per cage. Mice with brain implants were housed individually after surgery to avoid implant damage. AAV2/9 EF1-DIO-hChR2(H134R)-mCherry (titer 9E12 GC/mL to 1.2E13 GC/mL), AAV2/9 EF1-DIO-hChR2(H134R)-YFP (titer 9E12 GC/mL), or AAV2/9-EF1a-mCherry-flex-DTA (titer 1.2E13 CC/mL) was injected in VGlut2-IRES-Cre mice to induce a restricted cre-lox recombination (Canadian Neurophotonics Platform Viral Vector Core Facility (RRID: SCR_016477)). Housing, surgery, behavioral experiments, and euthanasia were performed in compliance with the guidelines of the Canadian Council on Animal Care and approved by the local committee of Université Laval (CPAUL3).
Method details
AAV injections and optical fiber implantations
Under isoflurane (1.5%–2% O2) anesthesia, the mouse was installed in a stereotaxic frame; a craniotomy was performed for AAV injection and chronic implantation of a unilateral optical fiber (diameter: 200 μm) above the nucleus of interest in photostimulated groups. The targets were the cuneiform nucleus (CnF; anteroposterior from the bregma (AP), −4.6 mm; mediolateral (ML), 1.25 mm; depth, 2.2 mm) or the pedunculopontine nucleus (PPN; AP, −4.6 mm; ML, 1.25 mm; depth, 3.25 mm). Chronically implanted groups underwent the AAV injection (100 nL) and the subsequent implantation of an optical fiber in the same surgery. A glass micropipette (WPI, ID: 0.53 and OD: 1.19 mm) was backfilled with mineral oil and fixed on a nano-injector (Nanoliter 2010 Injector, WPI). The pipette was lowered slowly into the nucleus of interest. After a 5-min period, the AAV was injected at a rate of 50 nL/min. To avoid any leakage of the AAV, the glass pipette was held in place for 5 min following the injection before being slowly retracted. The optical fiber (200 μm) was held in place with dental acrylic (cat# 525000 and 526,000, A-M Systems) and machine screw (cat#19010-10, FST, North Vancouver, Canada).
Spinal cord injury
Under isoflurane (1.5%–2% O2) anesthesia, the mouse was installed in a stereotaxic frame; a laminectomy was performed with or without (SHAM group) spinal lesion. The enlargement of vertebra T7 was used as a landmark and T7 was removed using a Friedman-Pearson rongeur to access the T8-T9 spinal segments. In SCI animals, the left spinal cord was transected dorso-ventrally (the medio-lateral landmark was the posterior spinal vein) using a 30G needle. To prevent regeneration, a piece of absorbable cellulose gauze hemostat was inserted in the lesion site. Axial muscles and skin were replaced and sutured. For all surgical procedures, analgesics (Buprenorphine hydrochloride SR: 5 mg/kg) were provided at the end of the surgery for long duration release. After a 1-week recovery, mice were tested in the laboratory.
Retrograde tracing
10 adult VGlut2-Cre mice were exposed to a laminectomy and 16 VGlut2-Cre mice to a laminectomy followed by a lateral thoracic hemisection. 8 weeks after SCI or sham surgery, under isoflurane (1.5%–2% O2) anesthesia, the mouse was installed in a stereotaxic frame; a craniotomy was performed for retrograde tracer injection: Fast Blue (Polysciences, 17,740-5, 50 nL, 2% suspension in phosphate buffer with 2% dimethyl sulfoxide) in the contralesional medulla: AP = 5.5 mm; L = 0.5 mm; D = 5.5 mm. A 2 μL Hamilton neuro syringe was used to perform this injection. To avoid leakage, the neuro syringe was kept in place for 2 min and removed slowly after the injection. Mice were perfused 4 days after the Fast Blue injection. Mice with SCI extending over the other side of the spinal cord and Fast Blue injections leaking in the ipsilesional brainstem were excluded from our analysis. We analyzed a total of 5 SCI and 5 sham mice for our tracing experiments.
Locomotor tests
Mice were tested during the day in a room dedicated to behavioral experiments. Before any surgery, mice were trained to swim and walk on a treadmill. During swimming, treadmill, and spontaneous walking, reflective markers were placed on each joint of the left ipsilesional hindlimb (iliac crest, hip, knee, ankle, and toe). Mice were filmed on both sides with high-frequency cameras (Genie HM640, Dalsa Teledyne; 250 frames/s). In the open field test, mice were filmed from above (100 frames/s) and a reflective marker was placed on their neck to track body movements. Videos were digitized with StreamPix 6.0 (Norpix) and analyzed offline using custom-designed software, OpenPose,78 and MATLAB.
Mice learned to swim in straight lines and reach a platform at the end of a transparent corridor (length: 53 cm, width: 5 cm, height: 18 cm). To prevent hypothermia, the temperature of the water was monitored and maintained between 23 and 25°C. Three to four laps were analyzed per mouse (with or without photostimulation).
We tested spontaneous overground walking in a transparent corridor (length: 60, width: 5 cm, height: 25) connecting two open boxes—one transparent and one painted black. Mice were placed in the brighter box and crossed the corridor to find refuge in the darker box. Three to four passages were analyzed per mouse (with or without photostimulation).
Kinematics and EMGs recordings were performed during two separate sessions on a treadmill (Exer 3/6 treadmill, Columbus instruments). During EMG experiments, mice were filmed from both sides at 100 frames/s without any markers on the hindlimb. Five photostimulations were analyzed per mouse. During open field experiments (a rectangular treadmill surface (38 × 43 cm), mice were videotaped from above.
A locomotor score was performed blindly by an experimenter to monitor spontaneous motor recovery after lateral thoracic hemisection.40 Hindlimbs were scored individually each week after SCI. This non-linear and summative score on a 20-point scale takes into consideration the articular coordination, the weight support, the digit position, the foot placement while stepping, the tail position, and the fore-hindlimb coordination. One experimenter evaluated stress and discomfort before and during 1 s trains of photostimulation at rest using a 10-point grimace scale scoring five facial expressions: orbital tightening, nose bulge, cheek bulge, ear position, and whisker change.79
Genetic ablation of glutamatergic neurons
A total of 11 mice were used. Chronic SCI mice were split evenly according to their locomotor score 8 weeks after SCI into two groups prior to genetic ablation of glutamatergic neurons of the right CnF or PPN.41,42 100 nL injection of AAV2/9-EF1a-mCherry-flex-DTA (titer 1.2E13 CC/mL) was injected under isoflurane anesthesia during stereotaxic surgery in either the right CnF (n = 6 mice) or PPN (n = 5 mice). mCherry labeling was used to assess the extent of the injection site and confirm that they were circumscribed to the targeted nucleus. The number of NeuN+ and ChAT + labeled neurons was counted over 5 sections at the level of the injection site in both left and right CnF and PPN nuclei (see immunochemistry section). For behavioral tests, 7 to 10 consecutive step cycles per mouse were analyzed for treadmill locomotion before and after AAV-DTA injection; 3 swimming laps per mouse were combined for analysis of 30–45 swim cycles (∼11 swim cycles per lap) before and after AAV-DTA injection.
Optogenetic and electrophysiological recordings
A total of 14 adult mice were assessed upon optogenetic manipulation before SCI. 2 to 3 mice lost their implant in the CnF within the 7-week period of recording after SCI. So, 5/7 mice were assessed during treadmill locomotion and 4/7 during the corridor test upon optogenetic CnF stimulation until 7 weeks after SCI. 7/7 mice were assessed for all locomotor tests upon optogenetic PPN stimulation. Before and after SCI and throughout all locomotor tests, optical manipulations of Channelrhodopsin-2.0 (ChR2)-expressing neurons were undertaken in freely behaving mice. The pattern and timing of optical manipulations were controlled using a mechanical shutter (Connectorized Mechanical Shutter Adapters; Doric, Canada) and controller (SR470 Laser Shutter Controller; Stanford Research Systems, California, USA) synchronized online during kinematic and EMG recordings. Channelrhodopsin-2.0-expressing neurons (ChR2) were photostimulated by using a blue laser (50 mW power, 473nm wavelength, Laserglow Technologies, ON, Canada). Before SCI, a threshold was determined to reliably evoke behavioral responses in each mouse for each locomotor test in 3 separate sessions of photostimulation, 1 week apart each. During EMG recordings, the laser power threshold was determined using motor responses evoked upon 10 ms pulse photostimulations delivered to the animal at rest. Pulses were delivered during treadmill locomotion at the defined threshold (between 1 and 18 mW) at steady locomotor speed (10 cm/s). Regarding the timing of stimulations, continuous 10 ms pulses were delivered every 3 s to assess changes in locomotor pattern (total of 150 pulses); trains of 10 ms pulses at 5-10-20-50 Hz were also used for a duration of 1 s every 5 s.
EMG activity of the tibialis anterior (TA, ankle flexor), gastrocnemius lateralis (GL, ankle extensor) muscles were recorded using acute electrodes. Mice were anesthetized with isoflurane (1.5–2%) to insert dual core wires into muscles of interest, as previously described elsewhere.10,33 Recordings were made when mice were fully awake and ready to walk. EMG signals were amplified (x 1000), band-pass filtered (0.1–10 kHz), sampled at 10 kHz, and digitally converted (Power 1401; CED, Cambridge, UK) using Spike2 version 8 (CED, Cambridge, UK). EMG signals were high-pass filtered, rectified, and analyzed offline using custom-designed software and MATLAB.
Kinematic analysis
As previously described,10,33 joint markers of the iliac crest, hip, ankle, and toe were detected. To avoid skin slippage, the knee was inferred by triangulation using the length of the femur and the tibia. Hindlimb joints were detected using the machine learning software OpenPose.78 All OpenPose predictions were manually verified and corrected if needed on custom-designed software.80 Custom MATLAB scripts were used to analyze joints kinematics. Using custom-made software, the beginning of the stance (contact on the ground) and the beginning of the swing (lift from the ground) phases of the hindlimbs during treadmill locomotion were manually tagged. Intralimb angular coupling (i.e., hip angle versus ankle angle) was defined as a phase of the maximum of the ankle angle according to the maximum of the hip angle. Regarding swimming, the swim cycle was divided into a power and return stroke which were defined using the evolution of the hip angle during swimming. The power stroke ranges from the minimum to the maximum of the hip angle; the return stroke ranges from the maximum to the minimum angle.
EMG analysis
Motor spikes were extracted from raw EMG recordings using a threshold of 5 times the mean of the background signal at rest. Then, a custom-made MATLAB script was used to identify the beginnings and endings of step cycles using time-sensitive changes in motor spike density. For each hindlimb, the reference muscle was the tibialis anterior. The step cycle was divided in 5 equal epochs, the first two corresponding to the active phase of the flexor (associated with the swing phase of the limb) and the last three corresponding to the active phase of the extensor (associated with the stance phase of the limb). Changes in motor spike density and mean amplitude were assessed as the difference between a 50 ms time window before and after 10 ms photostimulation. For the analysis of trains of photostimulation or unstimulated locomotion, the burst of activity of the muscles (and the step cycles) were selected manually in Spike2.
Perfusion
Mice were deeply anesthetized and transcardially perfused with 10 mL saline (0.9% NaCl) followed by 20 mL paraformaldehyde (4% PFA). Tissues (spinal cord and brain) were harvested and post-fixed overnight in 4% PFA, then in 30% sucrose until saturation. Tissues (spinal cords and brains) were frozen in Leica tissue freezing medium, then cut on a Leica cryostat (20 μm slices, Leica CM1860, Germany).
Immunochemistry
Immunostainings were performed on brainstem slices to confirm the position of the optical probe, the extent of the cre-lox recombination, and analyzed retrogradely labeled neurons from tracing experiments. The following primary antibodies were used: anti-choline acetyltransferase (ChAT) 1:100 (Chemicon-Millipore, AB144P), anti-Cre recombinase (CRE) 1:1000 (EMD Millipore, MAB3120), and the anti-NeuN 1:500 (Chemicon-Millipore, ABN78). The following secondary antibodies were used: donkey anti-mouse-AF594 1:1000 (Thermofisher Scientific, A-21203), donkey anti-goat-AF488 1:1,000 (Abcam, AB150129) donkey anti-rabbit-AF594 (Invitrogen, A21207), and donkey anti-rabbit-AF350 (Invitrogen, A10039).
To confirm optical probe location and cre-lox recombination extent, images were taken on an Axio Imager M2 microscope connected to an AxioCam camera using ZEN2 software (Zeiss, Germany). Low-magnification reconstructions were generated to delineate the extent of the cre-lox recombination and determine the stereotaxic coordinates of the tip of the optical cannula according to anatomical landmarks (superior cerebellar peduncle, inferior colliculus, and the periaqueductal gray) and anatomical atlases.81,82 As previously reported.38,83,84 cholinergic immunostaining was used to identify and localize the cholinergic PPN. The cholinergic staining and the extent of cre-lox recombination were evaluated by outlining the area on low-magnification reconstructions to determine whether the stimulation site was located within the CnF or PPN. Spinal cord lesions were imaged using brightfield microscopy. Using Fiji,85 the extents of the spinal cord lesion were evaluated on three subsequent slices at the epicenter of the lesion. The area of spared tissue was compared to adjacent intact sections, the extent of the lesion ranged from 40% to 65%.
Stereology
For tracing experiments, animals in which Fast Blue injection was circumscribed to the right medulla including the gigantocellular reticular nucleus (GI ), the lateral paragigantocellular reticular nucleus (LPGi), the alpha and ventral pars of the gigantocellular reticular nucleus (GiV/α) we included for analysis. Every two slices were imaged using an epifluorescence microscope (Olympus BX51, Tokyo, Japan) associated with stereology software (Stereo Investigator, MicroBrightField Bioscience, Colchester, VT). Using anatomical landmarks, the borders of the CnF and PPN were traced. A random subsampling was used, and neurons were counted in selected sections (50–150 μm2 squares). Sizes of the sections were determined by the surface on the slices and the volume of the nucleus. Taking in consideration the number of counted cells, the interval between sections, the area of the nucleus, and the thickness of the slices, the number of counted cells was estimated. In some experiments, all neurons were counted manually every other section enabling a 3D representation of the PPN and CnF (Figure 2C). Custom MATLAB scripts enabled pooling all mice together and representing the spatial distribution (medio-lateral and dorsoventral) of retrogradely labeled neurons.
Quantification and statistical analysis
Information about mice numbers, statistical tests, and data representation can be found in Fig. legends. Data are represented as mean ± SD and statistical difference was indicated by asterisks (∗p ≤ 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001). Before every analysis, the normality of the data distribution was assessed using a Shapiro-Wilk test. To test statistical difference from a specified value, we used a one-sample t-test if the distribution was normal or a Mann-Whitney test if the distribution was not normal. To compare groups, a one-way ANOVA was performed followed by a Dunnett’s post-test if the distribution was normal. Otherwise, if the distribution was not normal, a Kruskall-Wallis test was performed with a Dunn’s multiple comparison post-test. To compare paired groups, we used repeated measures one-way ANOVA followed by Tukey’s comparison test for normally distributed values and a Friedman test followed by Dunn’s multiple comparisons test otherwise. Boxplots represent the 25th percentile, the median, the 75th percentile, and the whiskers the maximum and minimum values.
In order to evaluate step-by-step variability (Figures 7C and S12G), joint angles of subsequent step (or swim) cycles were averaged. Each step cycle duration was normalized and divided in 512 bins. Photostimulation changed the dynamics of the step cycle (shortening the stance phase and the step cycle duration) thus preventing a bin-to-bin comparison between pre- and photostimulated conditions. In order to focus on the swing phase variability, the coefficient of variation was calculated for each bin located between the maximal opening of the hip angle (beginning of the swing) and the end of the step cycle (foot contact). Coefficients of variation of swing phase bins were pooled and treated as a parameter and compared between pre- and photostimulated conditions with either a one-sample t-test or a Mann-Whitney according to normality of data. Variability for both return and power strokes were analyzed during swimming.
For quantification of the percentage of mice showing improvement, deficit, or absence of change in locomotor parameters, significant increases were considered as an improvement when there was a gain of locomotor function (i.e., an increase in angular excursion, stride length, step height, power-stroke, swim cycle frequency and swim speed in Figure 3; speed, iliac crest height, step height in Figure 6; integrated amplitude in Figures 7 and S11; speed, locomotor frequency, angular excursion in Figures S12 and S13). In the case of burst duration (Figures 7 and S11) and coefficient of variation (Figures 7 and S12), significant decreases were also considered as an improvement. In contrast, a significant decrease in impairing or reducing locomotor functions was considered as a deficit.
Acknowledgments
We thank L. Bihoues, Q. Bruxelles, A. Caussaint, G. Clain, G. Gélinas, H. Godet, S. Harvey, N. Karimi, and V. Langevin for their participation in animal handling, data acquisition, and analysis; Pr. J.-F. Lalonde, C. Panter, and P. Drapeau for technical assistance; and M.-C. Richer and S. Bernard for supporting our animal care. This work was supported by Wings for Life and Canadian Institutes of Health Research grants to F.B. F.B. was supported by a salary award from Fonds de Recherche Québec Santé (FRQS) and M.L. was supported by a Wings for Life postdoctoral fellowship.
Author contributions
F.B. conceived and designed the research; M.R., D.L.Z., N.J., and M.L. performed research and analyzed data; M.R. and F.B. drafted the manuscript; M.R., M.L., and F.B. edited and revised the manuscript; and all authors approved the final version of the manuscript.
Declaration of interests
The authors declare no competing interests.
Inclusion and diversity
We support inclusive, diverse, and equitable conduct of research.
Published: February 21, 2023
Footnotes
Supplemental information can be found online at https://doi.org/10.1016/j.xcrm.2023.100946.
Supplemental information
Data and code availability
-
•
All data reported in this paper will be shared by the lead contact upon request.
-
•
All original code has been deposited at https://github.com/Malem83/LocoMUA_MLR_SCI and is publicly available as of the date of publication. DOIs are listed in the key resources table.
-
•
Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.
References
- 1.Bonizzato M., Pidpruzhnykova G., DiGiovanna J., Shkorbatova P., Pavlova N., Micera S., Courtine G. Brain-controlled modulation of spinal circuits improves recovery from spinal cord injury. Nat. Commun. 2018;9:3015. doi: 10.1038/s41467-018-05282-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Capogrosso M., Milekovic T., Borton D., Wagner F., Moraud E.M., Mignardot J.B., Buse N., Gandar J., Barraud Q., Xing D., et al. A brain–spine interface alleviating gait deficits after spinal cord injury in primates. Nature. 2016;539:284–288. doi: 10.1038/nature20118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Wagner F.B., Mignardot J.B., Le Goff-Mignardot C.G., Demesmaeker R., Komi S., Capogrosso M., Rowald A., Seáñez I., Caban M., Pirondini E., et al. Targeted neurotechnology restores walking in humans with spinal cord injury. Nature. 2018;563:65–71. doi: 10.1038/s41586-018-0649-2. [DOI] [PubMed] [Google Scholar]
- 4.Wenger N., Moraud E.M., Gandar J., Musienko P., Capogrosso M., Baud L., Le Goff C.G., Barraud Q., Pavlova N., Dominici N., et al. Spatiotemporal neuromodulation therapies engaging muscle synergies improve motor control after spinal cord injury. Nat. Med. 2016;22:138–145. doi: 10.1038/nm.4025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Bonizzato M., Martinez M. An intracortical neuroprosthesis immediately alleviates walking deficits and improves recovery of leg control after spinal cord injury. Sci. Transl. Med. 2021;13:eabb4422. doi: 10.1126/scitranslmed.abb4422. [DOI] [PubMed] [Google Scholar]
- 6.Bachmann L.C., Matis A., Lindau N.T., Felder P., Gullo M., Schwab M.E. Deep brain stimulation of the midbrain locomotor region improves paretic hindlimb function after spinal cord injury in rats. Sci. Transl. Med. 2013;5:208ra146. doi: 10.1126/scitranslmed.3005972. [DOI] [PubMed] [Google Scholar]
- 7.Bonizzato M., James N.D., Pidpruzhnykova G., Pavlova N., Shkorbatova P., Baud L., Martinez-Gonzalez C., Squair J.W., DiGiovanna J., Barraud Q., et al. Multi-pronged neuromodulation intervention engages the residual motor circuitry to facilitate walking in a rat model of spinal cord injury. Nat. Commun. 2021;12:1925. doi: 10.1038/s41467-021-22137-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Hofer A.S., Scheuber M.I., Sartori A.M., Good N., Stalder S.A., Hammer N., Fricke K., Schalbetter S.M., Engmann A.K., Weber R.Z., et al. Stimulation of the cuneiform nucleus enables training and boosts recovery after spinal cord injury. Brain. 2022;145:3681–3697. doi: 10.1093/brain/awac184. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Zörner B., Bachmann L.C., Filli L., Kapitza S., Gullo M., Bolliger M., Starkey M.L., Röthlisberger M., Gonzenbach R.R., Schwab M.E. Chasing central nervous system plasticity: the brainstem’s contribution to locomotor recovery in rats with spinal cord injury. Brain. 2014;137:1716–1732. doi: 10.1093/brain/awu078. [DOI] [PubMed] [Google Scholar]
- 10.Josset N., Roussel M., Lemieux M., Lafrance-Zoubga D., Rastqar A., Bretzner F. Distinct contributions of mesencephalic locomotor region nuclei to locomotor control in the freely behaving mouse. Curr. Biol. 2018;28:884–901.e3. doi: 10.1016/j.cub.2018.02.007. [DOI] [PubMed] [Google Scholar]
- 11.Caggiano V., Leiras R., Goñi-Erro H., Masini D., Bellardita C., Bouvier J., Caldeira V., Fisone G., Kiehn O. Midbrain circuits that set locomotor speed and gait selection. Nature. 2018;553:455–460. doi: 10.1038/nature25448. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.van der Zouwen C.I., Boutin J., Fougère M., Flaive A., Vivancos M., Santuz A., Akay T., Sarret P., Ryczko D. Freely behaving mice can brake and turn during optogenetic stimulation of the mesencephalic locomotor region. Front. Neural Circuits. 2021;15:639900. doi: 10.3389/fncir.2021.639900. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Fougère M., van der Zouwen C.I., Boutin J., Neszvecsko K., Sarret P., Ryczko D. Optogenetic stimulation of glutamatergic neurons in the cuneiform nucleus controls locomotion in a mouse model of Parkinson’s disease. Proc. Natl. Acad. Sci. USA. 2021;118 doi: 10.1073/pnas.2110934118. e2110934118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Ferreira-Pinto M.J., Kanodia H., Falasconi A., Sigrist M., Esposito M.S., Arber S. Functional diversity for body actions in the mesencephalic locomotor region. Cell. 2021;184:4564–4578.e18. doi: 10.1016/j.cell.2021.07.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Dautan D., Kovács A., Bayasgalan T., Diaz-Acevedo M.A., Pal B., Mena-Segovia J. Modulation of motor behavior by the mesencephalic locomotor region. Cell Rep. 2020;36:109594. doi: 10.1016/j.celrep.2021.109594. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Masini D., Kiehn O. Targeted activation of midbrain neurons restores locomotor function in mouse models of parkinsonism. Nat. Commun. 2022;13:504. doi: 10.1038/s41467-022-28075-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Carvalho M.M., Tanke N., Kropff E., Witter M.P., Moser M.-B., Moser E.I. A brainstem locomotor circuit drives the activity of speed cells in the medial entorhinal cortex. Cell Rep. 2020;32:108123. doi: 10.1016/j.celrep.2020.108123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Kroeger D., Ferrari L.L., Petit G., Mahoney C.E., Fuller P.M., Arrigoni E., Scammell T.E. Cholinergic, glutamatergic, and GABAergic neurons of the pedunculopontine tegmental nucleus have distinct effects on sleep/wake behavior in mice. J. Neurosci. 2017;37:1352–1366. doi: 10.1523/JNEUROSCI.1405-16.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Lee A.M., Hoy J.L., Bonci A., Wilbrecht L., Stryker M.P., Niell C.M. Identification of a brainstem circuit regulating visual cortical state in parallel with locomotion. Neuron. 2014;83:455–466. doi: 10.1016/j.neuron.2014.06.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Roseberry T.K., Lee A.M., Lalive A.L., Wilbrecht L., Bonci A., Kreitzer A.C. Cell-type-specific control of brainstem locomotor circuits by basal ganglia. Cell. 2016;164:526–537. doi: 10.1016/j.cell.2015.12.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Stieglitz L.H., Hofer A.-S., Bolliger M., Oertel M.F., Filli L., Willi R., Cathomen A., Meyer C., Schubert M., Hubli M., et al. Deep brain stimulation for locomotion in incomplete human spinal cord injury (DBS-SCI): protocol of a prospective one-armed multi-centre study. BMJ Open. 2021;11:e047670. doi: 10.1136/bmjopen-2020-047670. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Barrière G., Leblond H., Provencher J., Rossignol S. Prominent role of the spinal central pattern generator in the recovery of locomotion after partial spinal cord injuries. J. Neurosci. 2008;28:3976–3987. doi: 10.1523/JNEUROSCI.5692-07.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Barrière G., Frigon A., Leblond H., Provencher J., Rossignol S. Dual spinal lesion paradigm in the cat: evolution of the kinematic locomotor pattern. J. Neurophysiol. 2010;104:1119–1133. doi: 10.1152/jn.00255.2010. [DOI] [PubMed] [Google Scholar]
- 24.Martinez M., Delivet-Mongrain H., Leblond H., Rossignol S. Effect of locomotor training in completely spinalized cats previously submitted to a spinal hemisection. J. Neurosci. 2012;32:10961–10970. doi: 10.1523/JNEUROSCI.1578-12.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Martinez M., Delivet-Mongrain H., Leblond H., Rossignol S. Incomplete spinal cord injury promotes durable functional changes within the spinal locomotor circuitry. J. Neurophysiol. 2012;108:124–134. doi: 10.1152/jn.00073.2012. [DOI] [PubMed] [Google Scholar]
- 26.Courtine G., Song B., Roy R.R., Zhong H., Herrmann J.E., Ao Y., Qi J., Edgerton V.R., Sofroniew M.V. Recovery of supraspinal control of stepping via indirect propriospinal relay connections after spinal cord injury. Nat. Med. 2008;14:69–74. doi: 10.1038/nm1682. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Helgren M.E., Goldberger M.E. The recovery of postural reflexes and locomotion following low thoracic hemisection in adult cats involves compensation by undamaged primary afferent pathways. Exp. Neurol. 1993;123:17–34. doi: 10.1006/exnr.1993.1137. [DOI] [PubMed] [Google Scholar]
- 28.Kuhtz-Buschbeck J.P., Boczek-Funcke A., Mautes A., Nacimiento W., Weinhardt C. Recovery of locomotion after spinal cord hemisection: an X-ray study of the cat hindlimb. Exp. Neurol. 1996;137:212–224. doi: 10.1006/exnr.1996.0020. [DOI] [PubMed] [Google Scholar]
- 29.Noga B.R., Kriellaars D.J., Jordan L.M. The effect of selective brainstem or spinal cord lesions on treadmill locomotion evoked by stimulation of the mesencephalic or pontomedullary locomotor regions. J. Neurosci. 1991;11:1691–1700. doi: 10.1523/JNEUROSCI.11-06-01691.1991. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Noga B.R., Kriellaars D.J., Brownstone R.M., Jordan L.M. Mechanism for activation of locomotor centers in the spinal cord by stimulation of the mesencephalic locomotor region. J. Neurophysiol. 2003;90:1464–1478. doi: 10.1152/jn.00034.2003. [DOI] [PubMed] [Google Scholar]
- 31.Shefchyk S.J., Jell R.M., Jordan L.M. Reversible cooling of the brainstem reveals areas required for mesencephalic locomotor region evoked treadmill locomotion. Exp. Brain Res. 1984;56:257–262. doi: 10.1007/BF00236281. [DOI] [PubMed] [Google Scholar]
- 32.Bretzner F., Brownstone R.M. Lhx3-Chx10 reticulospinal neurons in locomotor circuits. J. Neurosci. 2013;33:14681–14692. doi: 10.1523/JNEUROSCI.5231-12.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Lemieux M., Bretzner F. Glutamatergic neurons of the gigantocellular reticular nucleus shape locomotor pattern and rhythm in the freely behaving mouse. PLoS Biol. 2019;17:e2003880. doi: 10.1371/journal.pbio.2003880. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Bouvier J., Caggiano V., Leiras R., Caldeira V., Bellardita C., Balueva K., Fuchs A., Kiehn O. Descending command neurons in the brainstem that halt locomotion. Cell. 2015;163:1191–1203. doi: 10.1016/j.cell.2015.10.074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Capelli P., Pivetta C., Soledad Esposito M., Arber S. Locomotor speed control circuits in the caudal brainstem. Nature. 2017;551:373–377. doi: 10.1038/nature24064. [DOI] [PubMed] [Google Scholar]
- 36.Lavoie B., Parent A. Pedunculopontine nucleus in the squirrel monkey: distribution of cholinergic and monoaminergic neurons in the mesopontine tegmentum with evidence for the presence of glutamate in cholinergic neurons. J. Comp. Neurol. 1994;344:190–209. doi: 10.1002/cne.903440203. [DOI] [PubMed] [Google Scholar]
- 37.Luquin E., Huerta I., Aymerich M.S., Mengual E. Stereological estimates of glutamatergic, GABAergic, and cholinergic neurons in the pedunculopontine and laterodorsal tegmental nuclei in the rat. Front. Neuroanat. 2018;12:34. doi: 10.3389/fnana.2018.00034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Wang H.-L., Morales M. Pedunculopontine and laterodorsal tegmental nuclei contain distinct populations of cholinergic, glutamatergic and GABAergic neurons in the rat. Eur. J. Neurosci. 2009;29:340–358. doi: 10.1111/j.1460-9568.2008.06576.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Steinkellner T., Yoo J.H., Hnasko T.S. Differential expression of VGLUT2 in mouse mesopontine cholinergic neurons. eNeuro. 2019;6 doi: 10.1523/ENEURO.0161-19.2019. ENEURO.0161-19.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Brown A.R., Martinez M. Ipsilesional motor cortex plasticity participates in spontaneous hindlimb recovery after lateral hemisection of the thoracic spinal cord in the rat. J. Neurosci. 2018;38:9977–9988. doi: 10.1523/JNEUROSCI.1062-18.2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Foster E., Wildner H., Tudeau L., Haueter S., Ralvenius W.T., Jegen M., Johannssen H., Hösli L., Haenraets K., Ghanem A., et al. Targeted ablation, silencing, and activation establish glycinergic dorsal horn neurons as key components of a spinal gate for pain and itch. Neuron. 2015;85:1289–1304. doi: 10.1016/j.neuron.2015.02.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Kaur S., Wang J.L., Ferrari L., Thankachan S., Kroeger D., Venner A., Lazarus M., Wellman A., Arrigoni E., Fuller P.M., Saper C.B. A genetically defined circuit for arousal from sleep during hypercapnia. Neuron. 2017;96:1153–1167.e5. doi: 10.1016/j.neuron.2017.10.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Easthope C.S., Traini L.R., Awai L., Franz M., Rauter G., Curt A., Bolliger M. Overground walking patterns after chronic incomplete spinal cord injury show distinct response patterns to unloading. J. Neuroeng. Rehabil. 2018;15:102. doi: 10.1186/s12984-018-0436-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Sohn W.J., Tan A.Q., Hayes H.B., Pochiraju S., Deffeyes J., Trumbower R.D. Variability of leg kinematics during overground walking in persons with chronic incomplete spinal cord injury. J. Neurotrauma. 2018;35:2519–2529. doi: 10.1089/neu.2017.5538. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Alcobendas-Maestro M., Esclarín-Ruz A., Casado-López R.M., Muñoz-González A., Pérez-Mateos G., González-Valdizán E., Martín J.L.R. Lokomat robotic-assisted versus overground training within 3 to 6 months of incomplete spinal cord lesion: randomized controlled trial. Neurorehabil. Neural Repair. 2012;26:1058–1063. doi: 10.1177/1545968312448232. [DOI] [PubMed] [Google Scholar]
- 46.de Leon R.D., Dy C.J. What did we learn from the animal studies of body weight–supported treadmill training and where do we go from here. J. Neurotrauma. 2017;34:1744–1750. doi: 10.1089/neu.2016.4561. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Garcia-Rill E., Skinner R.D., Fitzgerald J.A. Chemical activation of the mesencephalic locomotor region. Brain Res. 1985;330:43–54. doi: 10.1016/0006-8993(85)90006-x. [DOI] [PubMed] [Google Scholar]
- 48.Skinner R.D., Kinjo N., Henderson V., Garcia-Rill E. Locomotor projections from the pedunculopontine nucleus to the spinal cord. Neuroreport. 1990;1:183–186. doi: 10.1097/00001756-199011000-00001. [DOI] [PubMed] [Google Scholar]
- 49.Garcia-Rill E., Skinner R.D. The mesencephalic locomotor region. I. Activation of a medullary projection site. Brain Res. 1987;411:1–12. doi: 10.1016/0006-8993(87)90675-5. [DOI] [PubMed] [Google Scholar]
- 50.Morris M.E., Huxham F., McGinley J., Dodd K., Iansek R. The biomechanics and motor control of gait in Parkinson disease. Clin. Biomech. 2001;16:459–470. doi: 10.1016/s0268-0033(01)00035-3. [DOI] [PubMed] [Google Scholar]
- 51.Morris M.E., Iansek R., Matyas T.A., Summers J.J. Stride length regulation in Parkinson’s disease. Normalization strategies and underlying mechanisms. Brain. 1996;119:551–568. doi: 10.1093/brain/119.2.551. [DOI] [PubMed] [Google Scholar]
- 52.Mazzone P., Lozano A., Stanzione P., Galati S., Scarnati E., Peppe A., Stefani A. Implantation of human pedunculopontine nucleus: a safe and clinically relevant target in Parkinson’s disease. Neuroreport. 2005;16:1877–1881. doi: 10.1097/01.wnr.0000187629.38010.12. [DOI] [PubMed] [Google Scholar]
- 53.Plaha P., Gill S.S. Bilateral deep brain stimulation of the pedunculopontine nucleus for Parkinson’s disease. Neuroreport. 2005;16:1883–1887. doi: 10.1097/01.wnr.0000187637.20771.a0. [DOI] [PubMed] [Google Scholar]
- 54.Thevathasan W., Debu B., Aziz T., Bloem B.R., Blahak C., Butson C., Czernecki V., Foltynie T., Fraix V., Grabli D., et al. Pedunculopontine nucleus deep brain stimulation in Parkinson’s disease: a clinical review. Mov. Disord. 2018;33:10–20. doi: 10.1002/mds.27098. [DOI] [PubMed] [Google Scholar]
- 55.Goetz L., Piallat B., Bhattacharjee M., Mathieu H., David O., Chabardès S. On the role of the pedunculopontine nucleus and mesencephalic reticular formation in locomotion in nonhuman primates. J. Neurosci. 2016;36:4917–4929. doi: 10.1523/JNEUROSCI.2514-15.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Rauch F., Schwabe K., Krauss J.K. Effect of deep brain stimulation in the pedunculopontine nucleus on motor function in the rat 6-hydroxydopamine Parkinson model. Behav. Brain Res. 2010;210:46–53. doi: 10.1016/j.bbr.2010.02.003. [DOI] [PubMed] [Google Scholar]
- 57.Chang S.J., Cajigas I., Opris I., Guest J.D., Noga B.R. Dissecting brainstem locomotor circuits: converging evidence for cuneiform nucleus stimulation. Front. Syst. Neurosci. 2020;14:64. doi: 10.3389/fnsys.2020.00064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Chang S.J., Cajigas I., Guest J.D., Noga B.R., Widerström-Noga E., Haq I., Fisher L., Luca C.C., Jagid J.R. MR tractography-based targeting and physiological identification of the cuneiform nucleus for directional DBS in a Parkinson’s disease patient with levodopa-resistant freezing of gait. Front. Hum. Neurosci. 2021;15:676755. doi: 10.3389/fnhum.2021.676755. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Noga B.R., Sanchez F.J., Villamil L.M., O'Toole C., Kasicki S., Olszewski M., Cabaj A.M., Majczyński H., Sławińska U., Jordan L.M. LFP oscillations in the mesencephalic locomotor region during voluntary locomotion. Front. Neural Circuits. 2017;11:34. doi: 10.3389/fncir.2017.00034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Lozano A.M., Lipsman N., Bergman H., Brown P., Chabardes S., Chang J.W., Matthews K., McIntyre C.C., Schlaepfer T.E., Schulder M., et al. Deep brain stimulation: current challenges and future directions. Nat. Rev. Neurol. 2019;15:148–160. doi: 10.1038/s41582-018-0128-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Garcia-Rill E., Saper C.B., Rye D.B., Kofler M., Nonnekes J., Lozano A., Valls-Solé J., Hallett M. Focus on the pedunculopontine nucleus. Consensus review from the May 2018 brainstem society meeting in Washington, DC, USA. Clin. Neurophysiol. 2019;130:925–940. doi: 10.1016/j.clinph.2019.03.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Martinez-Gonzalez C., Bolam J.P., Mena-Segovia J. Topographical organization of the pedunculopontine nucleus. Front. Neuroanat. 2011;5:22. doi: 10.3389/fnana.2011.00022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Assous M., Dautan D., Tepper J.M., Mena-Segovia J. Pedunculopontine glutamatergic neurons provide a novel source of feedforward inhibition in the striatum by selectively targeting interneurons. J. Neurosci. 2019;39:4727–4737. doi: 10.1523/JNEUROSCI.2913-18.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Raver C., Uddin O., Ji Y., Li Y., Cramer N., Jenne C., Morales M., Masri R., Keller A. An amygdalo-parabrachial pathway regulates pain perception and chronic pain. J. Neurosci. 2020;40:3424–3442. doi: 10.1523/JNEUROSCI.0075-20.2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Roeder Z., Chen Q., Davis S., Carlson J.D., Tupone D., Heinricher M.M. The parabrachial complex links pain transmission to descending pain modulation. Pain. 2016;157:2697–2708. doi: 10.1097/j.pain.0000000000000688. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Filli L., Engmann A.K., Zörner B., Weinmann O., Moraitis T., Gullo M., Kasper H., Schneider R., Schwab M.E. Bridging the gap: a reticulo-propriospinal detour bypassing an incomplete spinal cord injury. J. Neurosci. 2014;34:13399–13410. doi: 10.1523/JNEUROSCI.0701-14.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Engmann A.K., Bizzozzero F., Schneider M.P., Pfyffer D., Imobersteg S., Schneider R., Hofer A.S., Wieckhorst M., Schwab M.E. The gigantocellular reticular nucleus plays a significant role in locomotor recovery after incomplete spinal cord injury. J. Neurosci. 2020;40:8292–8305. doi: 10.1523/JNEUROSCI.0474-20.2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Asboth L., Friedli L., Beauparlant J., Martinez-Gonzalez C., Anil S., Rey E., Baud L., Pidpruzhnykova G., Anderson M.A., Shkorbatova P., et al. Cortico–reticulo–spinal circuit reorganization enables functional recovery after severe spinal cord contusion. Nat. Neurosci. 2018;21:576–588. doi: 10.1038/s41593-018-0093-5. [DOI] [PubMed] [Google Scholar]
- 69.Ausborn J., Shevtsova N.A., Caggiano V., Danner S.M., Rybak I.A. Computational modeling of brainstem circuits controlling locomotor frequency and gait. Elife. 2019;8:e43587. doi: 10.7554/eLife.43587. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Roussel M., Lemieux M., Bretzner F. The Neural Control of Movement. Elsevier; 2020. Using mouse genetics to investigate supraspinal pathways of the brain important to locomotion; pp. 269–313. [Google Scholar]
- 71.Cregg J.M., Leiras R., Montalant A., Wanken P., Wickersham I.R., Kiehn O. Brainstem neurons that command mammalian locomotor asymmetries. Nat. Neurosci. 2020;23:730–740. doi: 10.1038/s41593-020-0633-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Usseglio G., Gatier E., Heuzé A., Hérent C., Bouvier J. Control of orienting movements and locomotion by projection-defined subsets of brainstem V2a neurons. Curr. Biol. 2020;30:4665–4681.e6. doi: 10.1016/j.cub.2020.09.014. [DOI] [PubMed] [Google Scholar]
- 73.Stieglitz L.H., Prusse A. 2017. Deep Brain Stimulation in Patients with Incomplete Spinal Cord Injury for Improvement of Gait.https://clinicaltrials.gov/ct2/show/NCT03053791 Available from: ClinicalTrials.gov. [Google Scholar]
- 74.Sahel J.-A., Boulanger-Scemama E., Pagot C., Arleo A., Galluppi F., Martel J.N., Esposti S.D., Delaux A., de Saint Aubert J.B., de Montleau C., et al. Partial recovery of visual function in a blind patient after optogenetic therapy. Nat. Med. 2021;27:1223–1229. doi: 10.1038/s41591-021-01351-4. [DOI] [PubMed] [Google Scholar]
- 75.Dieter A., Keppeler D., Moser T. Towards the optical cochlear implant: optogenetic approaches for hearing restoration. EMBO Mol. Med. 2020;12:e11618. doi: 10.15252/emmm.201911618. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Lee B.B., Cripps R.A., Fitzharris M., Wing P.C. The global map for traumatic spinal cord injury epidemiology: update 2011, global incidence rate. Spinal Cord. 2014;52:110–116. doi: 10.1038/sc.2012.158. [DOI] [PubMed] [Google Scholar]
- 77.Datto J.P., Bastidas J.C., Miller N.L., Shah A.K., Arheart K.L., Marcillo A.E., Dietrich W.D., Pearse D.D. Female rats demonstrate improved locomotor recovery and greater preservation of white and gray matter after traumatic spinal cord injury compared to males. J. Neurotrauma. 2015;32:1146–1157. doi: 10.1089/neu.2014.3702. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Cao Z., Hidalgo G., Simon T., Wei S.E., Sheikh Y. OpenPose: realtime multi-person 2D pose estimation using Part Affinity fields. IEEE Trans. Pattern Anal. Mach. Intell. 2021;43:172–186. doi: 10.1109/TPAMI.2019.2929257. [DOI] [PubMed] [Google Scholar]
- 79.Langford D.J., Bailey A.L., Chanda M.L., Clarke S.E., Drummond T.E., Echols S., Glick S., Ingrao J., Klassen-Ross T., Lacroix-Fralish M.L., et al. Coding of facial expressions of pain in the laboratory mouse. Nat. Methods. 2010;7:447–449. doi: 10.1038/nmeth.1455. [DOI] [PubMed] [Google Scholar]
- 80.Lemieux M., Josset N., Roussel M., Couraud S., Bretzner F. Speed-dependent modulation of the locomotor behavior in adult mice reveals attractor and transitional gaits. Front. Neurosci. 2016;10:42. doi: 10.3389/fnins.2016.00042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Paxinos G., Franklin K.B.J. Elsevier; 2019. Paxinos and Franklin’s the Mouse Brain in Stereotaxic Coordinates. [Google Scholar]
- 82.VanderHorst V.G.J.M., Ulfhake B. The organization of the brainstem and spinal cord of the mouse: relationships between monoaminergic, cholinergic, and spinal projection systems. J. Chem. Neuroanat. 2006;31:2–36. doi: 10.1016/j.jchemneu.2005.08.003. [DOI] [PubMed] [Google Scholar]
- 83.Mesulam M.M., Mufson E.J., Wainer B.H., Levey A.I. Central cholinergic pathways in the rat: an overview based on an alternative nomenclature (Ch1-Ch6) Neuroscience. 1983;10:1185–1201. doi: 10.1016/0306-4522(83)90108-2. [DOI] [PubMed] [Google Scholar]
- 84.Mena-Segovia J., Micklem B.R., Nair-Roberts R.G., Ungless M.A., Bolam J.P. GABAergic neuron distribution in the pedunculopontine nucleus defines functional subterritories. J. Comp. Neurol. 2009;515:397–408. doi: 10.1002/cne.22065. [DOI] [PubMed] [Google Scholar]
- 85.Schindelin J., Arganda-Carreras I., Frise E., Kaynig V., Longair M., Pietzsch T., Preibisch S., Rueden C., Saalfeld S., Schmid B., et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods. 2012;9:676–682. doi: 10.1038/nmeth.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
-
•
All data reported in this paper will be shared by the lead contact upon request.
-
•
All original code has been deposited at https://github.com/Malem83/LocoMUA_MLR_SCI and is publicly available as of the date of publication. DOIs are listed in the key resources table.
-
•
Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.