AIMC Topic: Spinal Cord
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Hspb1 and Lgals3 in spinal neurons are closely associated with autophagy following excitotoxicity based on machine learning algorithms.
PloS one
May 10, 2024
Excitotoxicity represents the primary cause of neuronal death following spinal cord injury (SCI). While autophagy plays a critical and intricate role in SCI, the specific mechanism underlying the relationship between excitotoxicity and autophagy in S...
Viability leads to the emergence of gait transitions in learning agile quadrupedal locomotion on challenging terrains.
Nature communications
Apr 9, 2024
Quadruped animals are capable of seamless transitions between different gaits. While energy efficiency appears to be one of the reasons for changing gaits, other determinant factors likely play a role too, including terrain properties. In this articl...
A quantitative evaluation of the deep learning model of segmentation and measurement of cervical spine MRI in healthy adults.
Journal of applied clinical medical physics
Jan 25, 2024
PURPOSE: To evaluate the 3D U-Net model for automatic segmentation and measurement of cervical spine structures using magnetic resonance (MR) images of healthy adults.
Morphology-based molecular classification of spinal cord ependymomas using deep neural networks.
Brain pathology (Zurich, Switzerland)
Jan 11, 2024
Based on DNA-methylation, ependymomas growing in the spinal cord comprise two major molecular types termed spinal (SP-EPN) and myxopapillary ependymomas (MPE(-A/B)), which differ with respect to their clinical features and prognosis. Due to the exist...
Integration of feedforward and feedback control in the neuromechanics of vertebrate locomotion: a review of experimental, simulation and robotic studies.
The Journal of experimental biology
Aug 11, 2023
Animal locomotion is the result of complex and multi-layered interactions between the nervous system, the musculo-skeletal system and the environment. Decoding the underlying mechanisms requires an integrative approach. Comparative experimental biolo...
The role of Artificial intelligence in the assessment of the spine and spinal cord.
European journal of radiology
Feb 3, 2023
Artificial intelligence (AI) application development is underway in all areas of radiology where many promising tools are focused on the spine and spinal cord. In the past decade, multiple spine AI algorithms have been created based on radiographs, c...
Neuromodulation with transcutaneous spinal stimulation reveals different groups of motor profiles during robot-guided stepping in humans with incomplete spinal cord injury.
Experimental brain research
Dec 19, 2022
Neuromodulation via spinal stimulation has been investigated for improving motor function and reducing spasticity after spinal cord injury (SCI) in humans. Despite the reported heterogeneity of outcomes, few investigations have attempted to discern c...
Combining Reflexes and External Sensory Information in a Neuromusculoskeletal Model to Control a Quadruped Robot.
IEEE transactions on cybernetics
Jul 19, 2022
This article examines the importance of integrating locomotion and cognitive information for achieving dynamic locomotion from a viewpoint combining biology and ecological psychology. We present a mammalian neuromusculoskeletal model from external se...
Transformer-Based Deep-Learning Algorithm for Discriminating Demyelinating Diseases of the Central Nervous System With Neuroimaging.
Frontiers in immunology
Jun 14, 2022
BACKGROUND: Differential diagnosis of demyelinating diseases of the central nervous system is a challenging task that is prone to errors and inconsistent reading, requiring expertise and additional examination approaches. Advancements in deep-learnin...
Markerless analysis of hindlimb kinematics in spinal cord-injured mice through deep learning.
Neuroscience research
Sep 8, 2021
Rodent models are commonly used to understand the underlying mechanisms of spinal cord injury (SCI). Kinematic analysis, an important technique to measure dysfunction of locomotion after SCI, is generally based on the capture of physical markers plac...
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