Motor Output Research Articles

MotY modulates proton-driven flagellar motor output in Pseudomonas aeruginosa

MotY homologs are present in a variety of monotrichous bacterial strains and are thought to form an additional structural T ring in flagellar motors. While MotY potentially plays an important role in motor torque generation, its impact on motor output dynamics remains poorly understood. In this study, we investigate the role of MotY in P. aeruginosa, elucidating its interactions with the two sets of stator units (MotAB and MotCD) using Förster resonance energy transfer (FRET) assays. Employing a newly developed bead assay, we characterize the dynamic behavior of flagellar motors in motY mutants, identifying MotY as the key functional protein to affect the clockwise bias of naturally unbiased motors in P. aeruginosa. Our findings reveal that MotY enhances stator assembly efficiency without affecting the overall assembly of the flagellar structure. Additionally, we demonstrate that MotY is essential for maintaining motor torque and regulating switching rates. Our study highlights the physiological significance of MotY in fine-tuning flagellar motor function in complex environments.

Interactions between arousal state and CO₂ determine the activity of central chemoreceptor neurons that drive breathing.

The homeostatic regulation of pulmonary ventilation, and ultimately arterial PCO2, depends on interactions between respiratory chemoreflexes and arousal state. The ventilatory response to CO2 is triggered by neurons in the retrotrapezoid nucleus (RTN) that function as sensors of central pH, which can be identified in adulthood by expression of Phox2b and Neuromedin B. Here we examine the dynamic response of genetically-defined RTN neurons to hypercapnia and arousal state in freely-behaving adult male and female mice using the calcium indicator jGCaMP7 and fiber photometry. We found that hypercapnia vigorously activates RTN neurons with a low CO2 recruitment threshold and with response kinetics that match respiratory activity whereas hypoxia had little effect. RTN activity increased transiently during wakefulness and respiratory-related arousals, rose persistently during REM sleep and their CO2 response persisted under anesthesia. Complementary studies using inhibitory optogenetics show that RTN activity supports eupneic breathing under anesthesia as well as during states of high arousal, but their activity is redundant for voluntary breathing patterns. Collectively, this study demonstrates that CO2-activated RTN neurons are exquisitely sensitive to arousal state, which determines their contribution to alveolar ventilation in relation to arterial PCO2 Significance statement Respiratory chemoreceptors stimulate neural respiratory motor output to regulate arterial PCO2 and PO2, thereby maintaining optimal gas exchange. Central chemoreceptor neurons expressing Phox2b and Neuromedin B in the Retrotrapezoid Nucleus (RTN) are required for the hypercapnia ventilatory response. However, the dynamic activity of RTN neurons in conditions of normal and elevated carbon dioxide has not been described in unanesthetized conditions. Here, we use a genetically-encoded calcium indicator to demonstrate that RTN neurons exquisitely sensitivity to hypercapnia and variations in arousal and sleep-state in freely-behaving mice. This work has implications for understanding the central control of breathing across arousal-states, particularly during sleep and anesthesia.

GPe Projections to the Retrorubral Field Give Rise to Diverging GABAergic and DAergic Circuits.

The external segment of the globus pallidus (GPe) is involved in the modulation of motor output and limbic components of behavior. The circuitry by which the GPe contributes to limbic components of behavior remains unknown. While many investigations have focused on the local circuitry within the basal ganglia, numerous GPe projections to target regions outside of the basal ganglia including the midbrain, thalamus, and cortex exist and remain largely unexplored. Here, by anatomical and electrophysiological means we investigate the projections of the GPe to the Retrorubral Field (RRF), a dopaminergic nucleus in the caudal midbrain, in both male and female mice. We find that the GPe targets both GABAergic and DAergic neurons in the RRF (RRFDA and RRFGABA). Viral-assisted circuit mapping to trace the cell-type specific projection patterns of RRFDA and RRFGABA populations revealed diverging pathways. The connectivity of GPe-recipient RRFDA neurons followed the traditional medial forebrain bundle path, innervating the ventral striatum and to a lesser extent the dorsal striatum. GPe-recipient RRFGABA neurons, on the other hand, displayed broad projections targeting numerous brain regions involved in limbic function including the parabrachial nucleus, amygdala, and hypothalamus. These contrasting projection profiles reveal multiple nodes by which the GPe is disynaptically connected to the limbic system, representing novel access points for the GPe to modulate limbic components of behavior.Significance Statement Progress in our understanding of GPe composition, circuits, and functions has allowed for a greater appreciation of the role of the GPe in shaping behavior. Here, we elaborate on the connectivity of the GPe with the RRF, the third-largest dopaminergic nucleus of the ventral midbrain. We reveal the targeting of both RRFDA and RRFGABA neurons by the GPe and demonstrate the vast non-overlapping projection profiles of RRFDA and RRFGABA Via the multi-level limbic connectivity of the RRF, these results add a novel branch of circuitry to the GPe, which may represent the foundation for some of its non-motor functions.

Enhanced inhibitory input to triceps brachii in humans with spinal cord injury.

Most individuals with cervical spinal cord injury (SCI) show increased muscle weakness in the elbow extensor compared to elbow flexor muscles. Although this is a well-known functional deficit, the underlying neural mechanisms remain poorly understood. To address this question, we measured the suppression of voluntary electromyographic activity (svEMG; a measurement thought to reflect changes in intracortical inhibition) by applying low-intensity transcranial magnetic stimulation over the arm representation of the primary motor cortex during 10% of isometric maximal voluntary contraction (MVC) into elbow flexion or extension in individuals with and without chronic cervical SCI. We found that the svEMG latency and duration were not different between the biceps and triceps brachii in controls but prolonged in the triceps in individuals with SCI. The svEMG area was larger in the triceps compared to the biceps in both groups and further increased in SCI participants, suggesting a pronounced intracortical inhibitory input during elbow extension. A negative correlation was found between svEMG area and MVCs indicating that control and SCI participants with lower svEMG area had larger MVCs. The svEMG area was not different between 5% and 30% of MVC, making it less probable that differences in muscle strength between groups contributed to our results. These findings support the existence of strong inhibitory input to corticospinal projections controlling elbow extensor compared to flexor muscles, which is more pronounced after chronic cervical SCI. KEY POINTS: After cervical spinal cord injury (SCI), people often recover function in elbow flexor, but much less in elbow extensor muscles. The neural mechanisms contributing to this difference remain unknown. We measured the suppression of voluntary electromyographic activity (svEMG) elicited through low-intensity transcranial magnetic stimulation of the primary motor cortex (assumed to reflect changes in intracortical inhibition) in the biceps and triceps muscles in controls and individuals with cervical chronic incomplete SCI. We found increased svEMG area in the triceps compared to the biceps in controls and SCI participants, with this measurement being even more pronounced in the triceps after SCI. The svEMG area correlated with maximal voluntary contraction values in both groups, suggesting the people with lesser inhibition had larger motor output. Our results support the presence of strong cortical inhibitory input to corticospinal projections controlling elbow extensor compared to elbow flexors muscles after cervical SCI.

Performance Analysis and Operation Parameter Optimization of Shaker-Type Harvesting for Camellia Fruits

This study aims to address the challenges of achieving a high harvesting rate and low flower bud damage rate during the harvesting of camellia fruits. To this end, a dynamic model of the camellia osmantha tree and a self-developed shaker-type harvesting machine were used as research subjects. The first 24 natural frequencies and mode shapes of the camellia tree were solved using the finite element method, and the effects of vibration frequency, excitation position, and vibration duration on the harvesting rate and flower bud damage rate were quantitatively analyzed through an orthogonal experiment. The numerical analysis results indicate that the camellia tree exhibits good response characteristics at vibration frequencies of 10–15.5 Hz and 38.5 Hz. The three-factors orthogonal experiment figured out that the optimal operational parameters for shaker-type harvesting were determined to be a vibration duration of 30 s, a motor output frequency of 12.5 Hz, and a gripping position height of 50 to 60 cm above the ground. Meanwhile, under these operational parameters, the harvesting efficiency reached 96.97%, while the flower bud damage rate was only 6%.

Permanent magnets with embedded phase changing material for electric motor thermal management

The magnetic performance of NdFeB permanent magnets rapidly decreases as their operation temperature increases. This limits the power output of electric motors as their internal temperature quickly increases with the power demand. This is particularly problematic for applications where high peak power is required for a short period of time, for example during automobile highway acceleration or during an airplane lift-off. With the advances in additive manufacturing, one can envision to fabricate more complex motor geometries and magnetic structures, without additional costs, allowing for enhanced functionalities such as better thermal management. In this context, this paper investigates the feasibility of using phase changing materials (PCMs) to mitigate the temperature rise in permanent magnets (PMs) fabricated by additive manufacturing. The potential of PCM and its relevance was validated by modeling the thermal response of an electric motor during a representative electric vehicle driving scenario. It was found that segmented magnets with embedded phase changing materials would allow to efficiently control temperature rise. To validate the simulation results, PM test pieces with and without embedded PCMs were fabricated using cold spray additive manufacturing and tested using a custom laser thermal cycling setup.

Hibernation reduces GABA signaling in the brainstem to enhance motor activity of breathing at cool temperatures

BackgroundNeural circuits produce reliable activity patterns despite disturbances in the environment. For this to occur, neurons elicit synaptic plasticity during perturbations. However, recent work suggests that plasticity not only regulates circuit activity during disturbances, but these modifications may also linger to stabilize circuits during future perturbations. The implementation of such a regulation scheme for real-life environmental challenges of animals remains unclear. Amphibians provide insight into this problem in a rather extreme way, as circuits that generate breathing are inactive for several months during underwater hibernation and use compensatory plasticity to promote ventilation upon emergence.ResultsUsing ex vivo brainstem preparations and electrophysiology, we find that hibernation in American bullfrogs reduces GABAA receptor (GABAAR) inhibition in respiratory rhythm generating circuits and motor neurons, consistent with a compensatory response to chronic inactivity. Although GABAARs are normally critical for breathing, baseline network output at warm temperatures was not affected. However, when assessed across a range of temperatures, hibernators with reduced GABAAR signaling had greater activity at cooler temperatures, enhancing respiratory motor output under conditions that otherwise strongly depress breathing.ConclusionsHibernation reduces GABAAR signaling to promote robust respiratory output only at cooler temperatures. Although frogs do not ventilate lungs during underwater hibernation, we suggest this would be beneficial for stabilizing breathing when the animal passes through a large temperature range during emergence in the spring. More broadly, these results demonstrate that compensatory synaptic plasticity can increase the operating range of circuits in harsh environments, thereby promoting adaptive behavior in conditions that suppress activity.

Developmental Changes in Locomotion and Sensorimotor Reflexes Following Spinal Cord Transection.

The developmental trajectory of weight-bearing locomotion and sensorimotor reflexes following a spinal cord injury, as well as the mechanisms for plasticity, remain unclear. In rats, the second postnatal week is a critical period for the development and recovery of spinal sensorimotor function. The purpose of the present study was to characterize developmental changes during this time frame to provide a basis for potential interventions and future research. Rats underwent a complete low-thoracic (T8-T10) spinal cord transection surgery, or sham procedure, on postnatal day (P)1. Spontaneous locomotion and sensorimotor reflexes (surface righting, hindlimb placing, and crossed-extensor reflex) were tested on P7, P14, or P21. Results show that spinal-transected and sham rats exhibited the same amount of spontaneous locomotion, but the degree of relative weight bearing on the hindlimbs was different between groups and changed over time. Reflex findings showed that throughout the neonatal period, the isolated lumbar spinal cord can respond to sensory input and execute coordinated motor output following spinal cord transection. These insights contribute to understanding the developmental trajectory of spinal cord function after injury and provide a foundation for interventions to enhance recovery outcomes.

From Sound to Movement: Mapping the Neural Mechanisms of Auditory–Motor Entrainment and Synchronization

Background: Humans exhibit a remarkable ability to synchronize their actions with external auditory stimuli through a process called auditory–motor or rhythmic entrainment. Positive effects of rhythmic entrainment have been demonstrated in adults with neurological movement disorders, yet the neural substrates supporting the transformation of auditory input into timed rhythmic motor outputs are not fully understood. We aimed to systematically map and synthesize the research on the neural correlates of auditory–motor entrainment and synchronization. Methods: Following the PRISMA-ScR guidelines for scoping reviews, a systematic search was conducted across four databases (MEDLINE, Embase, PsycInfo, and Scopus) for articles published between 2013 and 2023. Results: From an initial return of 1430 records, 22 studies met the inclusion criteria and were synthesized based on the neuroimaging modality. There is converging evidence that auditory–motor synchronization engages bilateral cortical and subcortical networks, including the supplementary motor area, premotor cortex, ventrolateral prefrontal cortex, basal ganglia, and cerebellum. Specifically, the supplementary motor area and the basal ganglia are essential for beat-based timing and internally guided rhythmic movements, while the cerebellum plays an important role in tracking and processing complex rhythmic patterns and synchronizing to the external beat. Self-paced tapping is associated with additional activations in the prefrontal cortex and the basal ganglia, suggesting that tapping in the absence of auditory cues requires more neural resources. Lastly, existing studies indicate that movement rate and the type of music further modulate the EEG power in the alpha and beta frequency bands. Conclusions: These findings are discussed in the context of clinical implications and rhythm-based therapies.

Laminar fMRI in the locked-in stage of amyotrophic lateral sclerosis shows preserved activity in layer Vb of primary motor cortex

Amyotrophic lateral sclerosis (ALS) affects the cerebral cortex layer-dependently, most notably by the foremost targeting of upper motor neurons (UMNs) sited in layer Vb. Previous studies have shown a retained ability of paralysed patients to activate cortical motor networks, even in late-stage ALS. However, it is currently unknown whether such activation reflects a retained capacity to process sensorimotor inputs or if it is a result of actual motor output. Given the distinct function of individual cortical layers, layer-specific functional measurements may provide insight to this question. In this study, using submillimetre resolution laminar fMRI, we assessed the layer-dependent activation associated with attempted (motor) and passive (somatosensory) movements in a locked-in stage ALS patient. We found robust activation in both superficial and deep layers of primary motor cortex (M1). The peak activation in deep layers was localised to layer Vb. These findings demonstrate preserved activity in deep output layers of M1, possibly reflecting a retained ability to engage surviving UMNs despite years of paralysis. Our study underscores the capacity of laminar fMRI to discern subtle cortical activity and elucidates a promising pathway for probing in vivo human ALS pathology with unprecedented resolution.

Artificial Neural Network-based Control of a Switched Reluctance Motor for a High-precision Positioning System

This paper presents a approach to control a switched reluctance motor (SRM) in the context of a high-precision positioning system using artificial neural networks (ANNs). The SRM is known for its robustness and simplicity, making it suitable for various applications, including positioning systems where precision is paramount. Traditional control methods often struggle to achieve the desired level of accuracy due to the non-linear and dynamic nature of the SRM. In this study, we propose an advanced control strategy leveraging the adaptive learning capabilities of ANNs. The neural network is trained to capture the intricate relationships between the motor's inputs and outputs, allowing for precise control in real-time. By measuring the electromagnetic torque and phase currents, the neural network is able to estimate the rotor position, facilitating the elimination of the rotor position sensor. The training data set of the neural network consists of magnetization data for the SRM with the electromagnetic torque and current as inputs and the corresponding position as outputs in this set. With a sufficiently large training data set, the artificial neural networks (ANN) can be correlated for appropriate network architecture.

Research on operating characteristics of V-shaped ultrasonic motor based on improved electromechanical coupling model

Abstract As a complex electromechanical coupling system, evaluating the motion characteristics of an ultrasonic motor via an accurate theoretical model is challenging due to the strong coupling between its electrical and mechanical properties. To address this issue, the paper first establishes a complete dynamic model of the V-shaped ultrasonic motor (VUSM). In contrast to the traditional dynamic model, the proposed model incorporates the centroid vibration of the stator and applies the weighted residual method to reduce the computational complexity by simplifying the dynamic model from infinite-dimensional degrees of freedom to two degrees of freedom. Subsequently, the finite element method is employed to determine the vibration mode of the stator structure and derive the two-phase operational mode of the motor. Using these two-phase working modes, the model is then solved to predict the motor's output characteristics under any operational condition. Furthermore, an electrical model accounting for preload nonlinearity was developed based on the dynamic model and compared with the model without considering preload nonlinearity, supported by experimental verification. The findings demonstrate that the established dynamic model and electrical model can accurately simulate the changing laws of the input and output characteristics of the motor, which provides assistance for the subsequent operation status evaluation of the motor and fault diagnosis during operation.

Sensorimotor integration enhances temperature stimulus processing.

Animals optimize behavior by integrating sensory input with motor actions. We hypothesized that coupling thermosensory information with motor output enhances the brain's capacity to process temperature changes, leading to more precise and adaptive behaviors. To test this, we developed a virtual "thermal plaid" environment where zebrafish either actively controlled temperature changes (sensorimotor feedback) or passively experienced the same thermal fluctuations. Our findings demonstrate that sensorimotor feedback amplifies the influence of thermal stimuli on swim initiation, resulting in more structured and organized motor output. We show that previously identified mixed-selectivity neurons that simultaneously encode thermal cues and motor activity enable the integration of sensory and motor feedback to optimize behavior. These results highlight the role of sensorimotor integration in refining thermosensory processing, revealing critical neural mechanisms underlying flexible thermoregulatory behavior. Our study offers new insights into how animals adaptively process environmental stimuli and adjust their actions, contributing to a deeper understanding of the neural circuits driving goal-directed behavior in dynamic environments.

The Peripheral Neuroimmune System.

Historically, the nervous and immune systems were studied as separate entities. The nervous system relays signals between the body and the brain by processing sensory inputs and executing motor outputs, whereas the immune system provides protection against injury and infection through inflammation. However, recent developments have demonstrated that these systems mount tightly integrated responses. In particular, the peripheral nervous system acts in concert with the immune system to control reflexes that maintain and restore homeostasis. Notwithstanding their homeostatic mechanisms, dysregulation of these neuroimmune interactions may underlie various pathological conditions. Understanding how these two distinct systems communicate is an emerging field of peripheral neuroimmunology that promises to reveal new insights into tissue physiology and identify novel targets to treat disease.

P11.09.B STRUCTURAL REORGANIZATION IN MOTOR-ELOQUENT GLIOMA PATIENTS EXHIBITING MOTOR DEFICITS

Abstract BACKGROUND Recent advancements in navigated transcranial magnetic stimulation (nTMS) have significantly improved the localization of motor functions in human subjects. Although previous studies have demonstrated the occurrence of tumor-induced motor plasticity, the detailed mechanisms of motor function plasticity and reorganization in patients with tumors affecting motor-eloquent regions are not fully elucidated. Our study aims to investigate the functional plasticity of motor functions in patients with gliomas located within motor-eloquent regions, providing deeper insights into the mechanisms of functional plasticity. MATERIAL AND METHODS In this research, we studied 60 glioma patients with tumors located in the motor-eloquent region. These patients were categorized into two groups depending on whether they experienced motor impairments in the upper extremities. We utilized nTMS, including Motor Evoked Potentials (MEP), to outline the control regions of motor function in terms of area, localization, and Center of Gravity (CoG). These identified regions also acted as seeds for tracing the Corticospinal Tract (CST). RESULTS The study unveiled significant variations in cortical and subcortical motor function localizations between the groups. Patients with motor impairments exhibited a broader cortical distribution connected to motor functions and increased volumes of CST, reflecting compensatory adaptations with different fractional anisotropy (FA) values (FA 0.15, p=0.02; FA 0.10, p=0.04). The analysis of the CST also showed overlapping regions, particularly within the hand-knob areas, which is indicative of these areas acting as critical motor output pathways. Despite varying degrees of functional impairment, all patients maintained some degree of motor output capability. CONCLUSION These findings suggest that motor-eloquent gliomas induce significant cortical and subcortical reorganization of motor functions. A persistent network of CST fibers, crucial for preserving motor function, highlights a complex interplay between cortical adaptation and subcortical reorganization. This study underscores the resilience of motor pathways and their pivotal role in functional recovery and plasticity, emphasizing the clinical relevance of nTMS in the therapeutic planning and monitoring of patients with motor-eloquent gliomas.

Nervous system guides behavioral immunity in Caenorhabditis elegans.

Caenorhabditis elegans is a versatile model organism for exploring complex biological systems. Microbes and the external environment can affect the nervous system and drive behavioral changes in C. elegans. For better survival, C. elegans may develop behavioral immunity to avoid potential environmental pathogens. However, the molecular and cellular mechanisms underlying this avoidance behavior are not fully understood. The dissection of sensorimotor circuits in behavioral immunity may promote advancements in research on the neuronal connectome in uncovering neuronal regulators of behavioral immunity. In this review, we discuss how the nervous system coordinates behavioral immunity by translating various pathogen-derived cues and physiological damage to motor output in response to pathogenic threats in C. elegans. This understanding may provide insights into the fundamental principles of immune strategies that can be applied across species and potentially contribute to the development of novel therapies for immune-related diseases.

Automatic Assist Level Adjustment Function of a Gait Exercise Rehabilitation Robot with Functional Electrical Stimulation for Spinal Cord Injury: Insights from Clinical Trials.

This study aimed to identify whether the combined use of functional electrical stimulation (FES) reduces the motor torque of a gait exercise rehabilitation robot in spinal cord injury (SCI) and to verify the effectiveness of the developed automatic assist level adjustment in people with paraplegia. Acute and chronic SCI patients (1 case each) performed 10 min of gait exercises with and without FES using a rehabilitation robot. Reinforcement learning was used to adjust the assist level automatically. The maximum torque values and assist levels for each of the ten walking cycles when walking became steady were averaged and compared with and without FES. The motor's output torque and the assist level were measured as outcomes. The assist level adjustment allowed both the motor torque and assist level to decrease gradually to a steady state. The motor torque and the assist levels were significantly lower with the FES than without the FES under steady conditions in both cases. No adverse events were reported. The combined use of FES attenuated the motor torque of a gait exercise rehabilitation robot for SCI. Automatic assistive level adjustment is also useful for spinal cord injuries.

Striatal lateral inhibition regulates action selection in a mouse model of levodopa-induced dyskinesia.

Striatal medium spiny neurons (MSNs) integrate multiple external inputs to shape motor output. In addition, MSNs form local inhibitory synaptic connections with one another. The function of striatal lateral inhibition is unknown, but one possibility is in selecting an intended action while suppressing alternatives. Action selection is disrupted in several movement disorders, including levodopa-induced dyskinesia (LID), a complication of Parkinson's disease (PD) therapy characterized by involuntary movements. Here, we identify chronic changes in the strength of striatal lateral inhibitory synapses in a mouse model of PD/LID. These synapses are also modulated by acute dopamine signaling. Chemogenetic suppression of lateral inhibition originating from dopamine D2 receptor-expressing MSNs lowers the threshold to develop involuntary movements in vivo , supporting a role in motor control. By examining the role of lateral inhibition in basal ganglia function and dysfunction, we expand the framework surrounding the role of striatal microcircuitry in action selection.

Bayesian inference of state feedback control parameters for fo perturbation responses in cerebellar ataxia.

Behavioral speech tasks have been widely used to understand the mechanisms of speech motor control in typical speakers as well as in various clinical populations. However, determining which neural functions differ between typical speakers and clinical populations based on behavioral data alone is difficult because multiple mechanisms may lead to the same behavioral differences. For example, individuals with cerebellar ataxia (CA) produce atypically large compensatory responses to pitch perturbations in their auditory feedback, compared to typical speakers, but this pattern could have many explanations. Here, computational modeling techniques were used to address this challenge. Bayesian inference was used to fit a state feedback control (SFC) model of voice fundamental frequency (fo) control to the behavioral pitch perturbation responses of speakers with CA and typical speakers. This fitting process resulted in estimates of posterior likelihood distributions for five model parameters (sensory feedback delays, absolute and relative levels of auditory and somatosensory feedback noise, and controller gain), which were compared between the two groups. Results suggest that the speakers with CA may proportionally weight auditory and somatosensory feedback differently from typical speakers. Specifically, the CA group showed a greater relative sensitivity to auditory feedback than the control group. There were also large group differences in the controller gain parameter, suggesting increased motor output responses to target errors in the CA group. These modeling results generate hypotheses about how CA may affect the speech motor system, which could help guide future empirical investigations in CA. This study also demonstrates the overall proof-of-principle of using this Bayesian inference approach to understand behavioral speech data in terms of interpretable parameters of speech motor control models.

Heightened Reticulospinal Excitability after Severe Corticospinal Damage in Chronic Stroke.

After severe corticospinal tract damage poststroke in humans, some recovery of strength and movement proximally is evident. It is possible that alternate motor pathways, such as the reticulospinal tract, may be upregulated to compensate for the loss of corticospinal tract input. We investigated the extent of reticulospinal tract excitability modulation and its inter-dependence on the severity of corticospinal tract damage after stroke in humans. We used a novel startle conditioned transcranial magnetic stimulation paradigm to elicit ipsilateral motor evoked potentials, an index of reticulospinal tract excitability, in 22 chronic stroke participants with mild to severe corticospinal tract damage and 14 neurotypical age-matched controls. We found that ipsilateral motor evoked potential presence was higher in the paretic arm of people with severe corticospinal tract damage compared to their non-paretic arm, people with mild corticospinal tract damage, and age-matched controls. Interestingly, ipsilateral motor evoked potential presence was correlated with motor impairment across the entire stroke cohort, whereby individuals with worse impairment exhibited more frequent ipsilateral motor evoked potentials (ie, higher reticulospinal tract excitability). Following severe corticospinal tract damage, upregulated reticulospinal tract activity may compensate for a loss of corticospinal tract input, providing some proximal recovery of isolated and within-synergy movements, but deficits in performing out of synergy movements and finger fractionation remain. Interventions aimed at modulating the reticulospinal tract could be beneficial or detrimental to ameliorating motor impairment depending on the degree of reliance on this pathway for residual motor output. ANN NEUROL 2024.