A computer model for describing the effect of urethral afferents on simulated lower urinary tract function.
A computer model of mechanical properties of the bladder, the urethra and the rhabdosphincter, as well as their neural control is presented in this paper. The model has a rather simple design and processes sensory information from both the bladder wall tension and urethral stretch. It is assumed that afferent signals from the urethra are involved in a sacral excitatory reflex and a supraspinal inhibitory reflex. Pressure and flow signals that resemble experimentally measured normal human behaviour could be simulated with this model. From these simulations the relation between the neural control mechanisms used in the model and the neural control mechanism in vivo cannot be judged entirely because similar behaviour could be simulated with models that are bas ed on different neural control mechanisms. Also behaviour that resembles detrusor overactivity was simulated with our model after an externally induced rise in detrusor pressure was added. Detrusor overactivity, sometimes in combination with urethral relaxation, can occur during a urodynamic investigation. A possible explanation for this detrusor overactivity might be that the micturition reflex is triggered by unknown disturbances and is inhibited immediately after by the same mechanism that normally ceases voiding. The described model provides such a mechanism. Based on these simulations, therefore, it is concluded that urethral afferent signals might be important in lower urinary tract control.
van Duin
F
F
Department of Urology, University Hospital Nijmegen, Nijmegen, The Netherlands.
Rosier
P F
PF
Bemelmans
B L
BL
Debruyne
F M
FM
Wijkstra
H
H
D000344:Afferent Pathways / Q000502:physiology; D000818:Animals; D002415:Cats; D002540:Cerebral Cortex / Q000502:physiology; D003198:Computer Simulation; D004285:Dogs; D005069:Evaluation Studies as Topic; D006801:Humans; D008959:Models, Neurological; D009119:Muscle Contraction; D009415:Nerve Net; D016571:Neural Networks, Computer; D010275:Parasympathetic Nervous System / Q000502:physiology; D010487:Periaqueductal Gray / Q000502:physiology; D011149:Pons / Q000502:physiology; D011301:Preoptic Area / Q000502:physiology; D012018:Reflex / Q000502:physiology; D013116:Spinal Cord / Q000502:physiology; D014521:Urethra / Q000294:innervation* / Q000502:physiology; D001743:Urinary Bladder / Q000294:innervation / Q000502:physiology; D014554:Urination / Q000502:physiology*; D014563:Urodynamics