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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 561815
Title Neural control model for the lower urinary tract
Author(s) Bastiaanssen, Erica H.C.; Leeuwen, Johan L. Van
Event Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'94), St. Louis, MO, USA, 1994-11-13/1994-11-16
Publication type Contribution in proceedings
Publication year 1994

A neural network model is proposed which controls a mechanical model of the lower urinary tract (LUT). The network topology is based on neuroanatomical data. The various motoneuron groups in the spinal cord, which act to control the LUT (fig. 1), are represented as single units in the neural network. These units are influenced by a control unit mimicking the supraspinal role in the LUT control. Model simulations show a realistic emptying-filling behaviour of the bladder. By omitting the control unit, an involuntary contraction of the muscular bladder wall is simulated in combination with an increased activity of the urethral sphincter (the closing muscle of the bladder), like the observed muscular dyssynergia of patients with a spinal-cord lesion. A feed-back connection between the urethra and the spinal cord is essential for this observed change in behaviour. In this way, the neural control model can be used to test qualitative descriptions from the literature about the role of the spinal pathways in controlling the LUT.

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