Locomotion is a complex process involving specific interactions between the central neural controller and the mechanical components of the system. The basic rhythmic activity generated by locomotor circuits in the spinal cord defines rhythmic limb movements and their central coordination. The operation of these circuits is modulated by sensory feedback from the limbs providing information about the state of the limbs and the body. However, the specific role and contribution of central interactions and sensory feedback in the control of locomotor gait and posture remain poorly understood. We use biomechanical data on quadrupedal locomotion in mice and recent findings on the organization of neural interactions within the spinal locomotor circuitry to create and analyse a tractable mathematical model of mouse locomotion. The model includes a simplified mechanical model of the mouse body with four limbs and a central controller composed of four rhythm generators, each operating as a state machine controlling the state of one limb. Feedback signals characterize the load and extension of each limb as well as postural stability (balance). We systematically investigate and compare several model versions and compare their behaviour to existing experimental data on mouse locomotion. Our results highlight the specific roles of sensory feedback and some central propriospinal interactions between circuits controlling fore and hind limbs for speed-dependent gait expression. Our models suggest that postural imbalance feedback may be critically involved in the control of swing-to-stance transitions in each limb and the stabilization of walking direction.
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http://dx.doi.org/10.1098/rsos.240207 | DOI Listing |
Alzheimers Dement
December 2024
Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland; School of Medicine and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.
Context: The development of new effective and sustainable dementia care interventions requires active engagement of all service users in research studies. This ensures that interventions are tailored to meet individual needs and preferences. Here, we describe modelling and development of a multi-faceted sensory health support intervention for residents with dementia in long-term care, co-designed with dementia care users and their supporters.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Kentucky College of Medicine, Lexington, KY, USA.
Background: We have been investigating in vivo astrocytic Ca homeostasis in the primary somatosensory cortex (S1) of awake, head-restrained ambulating mice using two-photon technology. Prior results from our lab were obtained in neurons across aging, and in male and female C57Bl6/J mice (Case et al., 2023).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Faculty of Medicine, Arish University, Arish, North Sinai, Egypt.
Background: Lingual taste cells (LTCs) are taste buds' sensory cells that modulate gustation. This study's aim is to assess whether it can be successfully implanted in hippocampus, modulating learning and memory deficits observed in Alzheimer's Dementia (AD).
Methods: Retrospective trials on rodents i.
Alzheimers Dement
December 2024
University of Strathclyde, Glasgow, Scotland, United Kingdom.
Background: The increasing significance of self-management in dementia care arises from earlier diagnosis, improved understanding of patient-modifiable factors, and advancements in treatments. The growing acceptance of patient care planning, especially self-management, is further supported by health professionals and public health initiatives aimed at extending healthspan.
Method: This systematic review evaluates the efficacy of self-management tools in enhancing the quality of life for adults with dementia and mitigating undesirable behaviours associated with the condition.
Alzheimers Dement
December 2024
University of Minnesota Duluth, Duluth, MN, USA.
Background: The rising demand for alternative dementia assessments, fueled by healthcare workforce shortages and the growing population of individuals affected with dementia, necessitates innovative approaches to address accessibility, logistics, and diverse populations. The utilization of robots in cognitive assessments emerges as a promising solution, promising efficiency and engagement, while navigating the complex landscape of dementia care challenges.
Method: Existing cognitive assessment tools were examined to develop a humanoid robot to deliver cognitive assessment.
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