A Computational Model of Direct Interstitial Infusion of Macromolecules into the Spinal Cord

2003 ◽  
Vol 31 (4) ◽  
pp. 448-461 ◽  
Author(s):  
Malisa Sarntinoranont ◽  
Rupak K. Banerjee ◽  
Russell R. Lonser ◽  
Paul F. Morrison
Keyword(s):  
Spinal Cord ◽  
Computational Model ◽  
Interstitial Infusion

Computational Model of Interstitial Transport in the Spinal Cord using Diffusion Tensor Imaging

2006 ◽  
Vol 34 (8) ◽  
pp. 1304-1321 ◽  
Author(s):  
Malisa Sarntinoranont ◽  
Xiaoming Chen ◽  
Jianbing Zhao ◽  
Thomas H. Mareci
Keyword(s):  
Spinal Cord ◽  
Diffusion Tensor Imaging ◽  
Computational Model ◽  
Diffusion Tensor ◽  
Interstitial Transport

Dynamic Computational Model of the Human Spinal Cord Connectome

2019 ◽  
Vol 31 (2) ◽  
pp. 388-416 ◽  
Author(s):  
Jeffrey E. Arle ◽  
Nicolae Iftimia ◽  
Jay L. Shils ◽  
Longzhi Mei ◽  
Kristen W. Carlson
Keyword(s):  
Spinal Cord ◽  
Computational Model ◽  
Cell Types ◽  
Neural Circuitry ◽  
Simulation Software ◽  
Cross Sectional ◽  
Human Spinal Cord ◽  
Starting Point ◽  
The Many ◽  
Future Work

Connectomes abound, but few for the human spinal cord. Using anatomical data in the literature, we constructed a draft connectivity map of the human spinal cord connectome, providing a template for the many calibrations of specialized behavior to be overlaid on it and the basis for an initial computational model. A thorough literature review gleaned cell types, connectivity, and connection strength indications. Where human data were not available, we selected species that have been studied. Cadaveric spinal cord measurements, cross-sectional histology images, and cytoarchitectural data regarding cell size and density served as the starting point for estimating numbers of neurons. Simulations were run using neural circuitry simulation software. The model contains the neural circuitry in all ten Rexed laminae with intralaminar, interlaminar, and intersegmental connections, as well as ascending and descending brain connections and estimated neuron counts for various cell types in every lamina of all 31 segments. We noted the presence of highly interconnected complex networks exhibiting several orders of recurrence. The model was used to perform a detailed study of spinal cord stimulation for analgesia. This model is a starting point for workers to develop and test hypotheses across an array of biomedical applications focused on the spinal cord. Each such model requires additional calibrations to constrain its output to verifiable predictions. Future work will include simulating additional segments and expanding the research uses of the model.

A Computational Model of Upper Thoracic High‐Frequency Spinal Cord Stimulation to Optimize Inspiratory Muscle Activation

2020 ◽  
Vol 34 (S1) ◽  
pp. 1-1
Author(s):  
Hans Zander ◽  
Krzysztof E. Kowalski ◽  
Anthony F. DiMarco ◽  
Scott F. Lempka
Keyword(s):  
Spinal Cord ◽  
Computational Model ◽  
Spinal Cord Stimulation ◽  
High Frequency ◽  
Muscle Activation ◽  
Inspiratory Muscle ◽  
Upper Thoracic

Sensorimotor Integration

2016 ◽  
Author(s):  
Patricia S. Churchland ◽  
Terrence J. Sejnowski
Keyword(s):  
Spinal Cord ◽  
Computational Model ◽  
Sensorimotor Integration ◽  
Computer Models ◽  
Nervous Systems ◽  
Model Network ◽  
The Third ◽  
Ocular Reflex ◽  
Vestibulo Ocular Reflex ◽  
Rhythmic Behaviors

This chapter examines the mechanisms underlying sensorimotor integration by discussing three cases where anatomical and physiological studies of circuits are co-evolving with computer models of the circuit: the first focuses on the dorsal bending reflex in the leech, the second deals with the vestibulo-ocular reflex (VOR) in mammals, and the third is concerned with rhythmic behaviors generated by the spinal cord. The chapter explains each case in detail, beginning with the computational model for the local bending reflex in the leech and proceeding with a discussion of a model network incorporating known pathways, connections, and physiology of the VOR. It also considers how time is represented in nervous systems and describes the segmental swimming oscillator before concluding with an overview of modeling of neurons.

34. Mechanism of therapeutic benefit with dorsal column stimulation using a computational model of the spinal cord

2014 ◽  
Vol 125 (5) ◽  
pp. e23-e24
Author(s):  
Jay Shils ◽  
Kris Carlson ◽  
Longzhi Mei ◽  
Jeffrey Arle
Keyword(s):  
Spinal Cord ◽  
Computational Model ◽  
Therapeutic Benefit ◽  
Dorsal Column ◽  
Dorsal Column Stimulation

scholarly journals A computational model coupling mechanics and electrophysiology in spinal cord injury

2013 ◽  
Vol 13 (4) ◽  
pp. 883-896 ◽  
Author(s):  
Antoine Jérusalem ◽  
Julián A. García-Grajales ◽  
Angel Merchán-Pérez ◽  
José M. Peña
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Computational Model ◽  
Model Coupling ◽  
Cord Injury
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