• Home

• People

• Projects

• Publications

The ability to move within the environment is essential for the survival of all animals, including humans. In mammals, the neurons that generate and drive locomotor movements reside in the spinal cord, and these spinal networks are controlled by upstream signals from the brainstem. Most studies of neural control of locomotion in mammals have focused on straight-trajectory forward locomotion. However, how brainstem and spinal neural networks control turning movements remains poorly understood. This study will investigate this question, using a combination of experimental and computational approaches. This international CRCNS project will be performrd in close colllaboration between Dr. Julien Bouvier (Paris-Saclay University, France) and Drs. Jessica Ausborn and Ilya Rybak (Drexel University). The results of this project will provide important insights into the neural control of turning and, more broadly, the neural control of locomotion. The models developed in this project can serve as test-beds for simulating different aspects of motor disorders and treatment approaches. Study outcomes can help in the development of novel strategies to restore locomotor function after spinal cord injury, neurodegenerative pathologies, and other motor disorders. This multidisciplinary project will investigate the neural control of locomotion in mice with a focus on mechanisms of turning movements. A recently uncovered population of reticulospinal neurons in the gigantocellular reticular nucleus (Gi) of the brainstem projects to all segments of the spinal cord and is defined by the expression of the transcription factor Chx10 (V2a neurons). Experimentally activating these neurons in the mouse induces robust turning movements that seem to be mostly driven by an asymmetric control of the motor circuits of the neck, upper trunk, and forelimbs. This study will test the hypothesis that these pathways represent a major orchestrator of locomotor turning maneuvers. This study combines state-of-the-art physiological, genetic, pharmacological, and motion tracking approaches with computational modeling of the brainstem and spinal cord circuits and animal biomechanics. The results of in vitro and in vivo studies will be incorporated in a neuro-biomechanical data-driven model of quadrupedal mammalian (mouse) locomotion. The model will provide mechanistic explanations and generate testable predictions that will then be verified experimentally. The project has the following three objectives. (1) Study the influence of reticulospinal V2a Gi neuron activation on spinal circuits potentially involved in locomotor steering behaviors and computational modeling of these brainstem-spinal pathways and circuits; (2) Characterize kinematics of mouse locomotion during changes of locomotor direction and develop a full-body neuro-biomechanical model of mouse locomotion; (3) Study the role of different populations of reticulospinal V2a Gi neurons in locomotor steering and test model predictions, challenge model assumptions, and investigate general mechanisms.

A quadrupedal robot "Miguel" was constructed by our collaborator Miguel Ayuso Parrilla and reproduced in in our group by Drs. Sergey N. Markin, Simon M. Danner, and Ph.D. student Andrew B. Lockhart. The robot will be controlled by a controller imitating the brainstem-spinal circuits involved in the control of locomotion and steering in mice (see above). The robot will be used for the analysis and comparative investigation of different algorithms and neural mechanisms of turning and navigation.

Somatosensory feedback from the limbs is essential for locomotion and its recovery after spinal cord injury. To achieve stable locomotion, the spinal cord needs to process afferent feedback signals and properly adjust muscle activation and interlimb coordination. But the interactions of somatosensory feedback with the spinal circuitry during locomotion have yet to be understood on the same level of detail. In this project we propose to address this gap of knowledge by combing mouse genetics, in vivo electrophysiology, and behavioral analyses with computational modeling of spinal circuits and the musculoskeletal system. This multidisciplinary project will be performed in close interactive collaboration between two investigators with strong and complementary expertise in computational (Simon Danner, Drexel University, PI) and experimental studies of neural control of locomotion (Turgay Akay, Dalhousie University, Canada, Co-PI). The project has the following three aims:(1) Delineate the involvement of multiple spinal interneurons in the processing of sensory information and interlimb coordination by studying crossed reflexes at rest and during locomotion; (2) Design a predictive computational model of the spinal locomotor circuitry and its interactions with the mouse musculoskeletal system; (3) Integrate modeling and experimentation to uncover underlying neural mechanisms. The model will be used to derive informative predictions that will then be tested experimentally. In summary, the proposed multidisciplinary approach is based on state-of-art experimental and modeling methods and will provide important and novel insights into the neural organization of the spinal locomotor circuitry responsible for sensorimotor integration and interlimb coordination during locomotion that cannot be obtained by experimentation or modeling alone.

Interlimb coordination is essential for maintaining balance when navigating in complex and/or changing environments. It involves complex dynamic interactions between neural circuits at different levels of the nervous system and biomechanical properties of the musculoskeletal system to allow animals to adjust locomotor speed and gait for goal-oriented behaviors. Interactions within the nervous system include those between the spinal circuits controlling each limb, supraspinal inputs and sensory feedback from the limbs. Despite their obvious importance, the mechanisms that control interlimb coordination and contribute to locomotor recovery following SCI and other neurological disorders remain poorly understood. To address this gap in knowledge, we will integrate multiple experimental and modeling approaches to investigate the neural and biomechanical mechanisms controlling interlimb coordination in a feline model before and after SCI disrupting neural communication between the brain and spinal cord and/or between the circuits controlling fore- and hindlimb movements.

The overall goal of this project is to determine the contribution of motion-dependent afferent pathways, selected ascending and descending pathways in the spinocerebellar loop, and the central pattern generator (CPG) circuitry to the generation of the distinct kinematic and muscle synergies during normal walking and epidural stimulation(ES)-activated walking in cats with intact and partially transected spinal cord. This goal will be accomplished in experimental and neuromechanical computational studies performed in close collaboration among 4 research groups from Georgia Institute of Technology (Prilutsky); Karolinska Institute, Sweden (Delyagina); Drexel University (Markin) and Pavlov Institute of Physiology, Russia (Musienko). We anticipate that this study will improve our understanding of how ES, sensory and supraspinal inputs, and CPG contribute to kinematic and muscle synergies during locomotion and thus will provide scientific basis for improvement of ES- stimulation therapies.

The overall goal of this project is to dissect the organization of the spinal CPG with focus on the organization of flexor-extensor alternating and left-right coordinating circuits. All work will be done on identifiable classes of spinal interneurons labeled by genetic markers in transgenic mice and/or classified by anatomic or electrophysiological labeling needed to obtain a unified picture of the CPG organization. We propose to identify the functional connectome and the interactions between these fundamental components of the CPG. The experiments performed will use a combination of electrophysiological, imaging, and molecular biology techniques complemented with advanced computer modeling. The three PIs involved in this project have strong background and experience in spinal cord studies and unique expertise in physiological, genetic and molecular methods (Martyn Goulding, Salk Institute, and Ole Kiehn, Karolinska Institute, Sweden) and computational modeling (Ilya Rybak). The Specific Aims of the project include: investigation of activity patterns and connectivity of the genetically identified spinal interneurons responsible for left-right coordination during locomotion (Aim 1), investigation of the genetically identified spinal interneurons and their connectivity responsible for flexor-extensor alternation and their interactions with the circuits providing left-right coordination (Aim 2), development of a comprehensive computational model of spinal cord circuits (Aim 3). The proposed multidisciplinary approach based on the state-of-art methods and close collaboration between the three leading labs will investigate and analyze the specific contributions of left-right and flexor-extensor coordinating neuronal circuits and their interactions to the generation and control of the locomotor pattern and provide important insights into the neural organization of the mammalian spinal cord, leading to new strategies to treat spinal cord injury and degeneration spinal cord disorders.

This project combines electrophysiological and modeling approaches to study the organization and neuronal composition of the Central Pattern Generator (CPG) neural circuits in the mammalian spinal cord that coordinate rhythmic neural activity driving locomotion. This study will take a general approach that utilizes various spontaneous and evoked perturbations in the locomotor pattern (including deletions of motoneuron activity, spinal cord lesions and pharmacological manipulations) as probes to understand CPG organization and function. It is proposed that analysis of the influences of these perturbations on the rhythmic motor pattern and the activity of identified spinal interneurons will provide important insights on the spinal CPG organization and operation. These data will be used to develop a comprehensive computational model of the spinal locomotor CPG, and to refine and validate this model, so that it can reproduce both normal locomotor activity and the consequences of experimental perturbations. In predictions to guide subsequent experimental investigations. The project brings together two senior scientists with complementary and overlapping expertise in experimental (Dr. Harris-Warrick at Cornell University) and computational (Dr. Rybak at Drexel University) neuroscience. It has three interlocking objectives: 1) Explore alterations in behavior of, and synaptic drive to, motoneurons and genetically defined interneurons during spontaneous and evoked deletions in flexor and/or extensor rhythmic motor activity, to define the possible function of these interneurons in the locomotor CPG. 2) Explore the consequences of reducing CPG complexity by spinal cord hemisection and removal of spinal segments, and compare the behavior of identified interneurons in the reduced cord during deletions and after pharmacological blockade of synaptic inhibition. 3) Develop a comprehensive computational model of the neural circuits forming the locomotor CPG in the neonatal mouse spinal cord that includes genetically identified interneurons and suggests their roles in the generation of the locomotor pattern. Validate this model in simulations reproducing the specific transformations in motoneuron and interneuron activity and the entire locomotor pattern during experimental perturbations proposed in objectives 1 and 2.The model will be progressively developed by continuous interaction with the experimental studies, and will serve both as a testbed for working concepts on spinal cord organization and as a source of predictions for subsequent experimental validation. Better understanding of the organization and function of the spinal CPG will provide essential insights into future clinical strategies for restoration of locomotor function after spinal cord injury.

The specific aims of this multi-institutional project are: (1) develop a Physiome-type, predictive, multiscale computational model of neural control of breathing that links multiple physiological mechanisms and processes involved in the vital function of breathing but operating at different scales of functional and structural organization, (2) validate this model in a series of complementary experimental investigations and (3) use the model as a computational framework for formulating predictions about possible sources and mechanisms of respiratory pattern alteration associated with heart failure. The project brings together a multidisciplinary team of scientists with long standing collaboration and complementary expertise in respiration physiology, neuroscience and translational medical studies (Thomas E. Dick, Case Western Reserve University;Julian F.R. Paton, University of Bristol, UK; Robert F. Rogers, Drexel University; Jeffrey C. Smith, NINDS, NIH, intramural), mathematics, system analysis and bioengineering (Alona Ben-Tal, Massey University, NZ), and computational neuroscience and neural control (Ilya A. Rybak, Drexel University). The end result of our proposed cross-disciplinary modeling and experimental studies will be the development and implementation of a new, fully operational, multiscale model of the integrated neurophysiological control system for breathing based on the current state of physiological knowledge. This model can then be used as a computational framework for formulating predictions about possible neural mechanisms of respiratory diseases and suggesting possible treatments.

This project represents the first steps towards the ultimate goal of creating a comprehensive multi-level, multi-scale neural model of the motor control system. The model will ultimately serve as a test bed for studying motor dysfunctions associated with and/or resulted from Huntington's disease (HD). We will take a multi-resolution modeling approach in which more detailed cellular and network neuron models (representing various CNS regions) will be sequentially incorporated into a larger systems-level model that produces simulated movements. The initial low-resolution systems-level model will describe system interactions between the major brain structures (nuclei, represented as model compartments) involved in planning, learning, and control of individual and successive arm reaching movements. We will consider (simulate and investigate) multiple interrelated motor/behavioral processes involving the basal ganglia (BG) including goal-directed reaching movements, decision-making between competing motor strategies, and motor task execution. The resultant model will provide a test bed for subsequent simulations of sequential reaching-related motor dysfunctions associated with HD, as well as for predictions of the possible effects of HD treatments at various functional levels.