Loading…
Computational model predicts the neural mechanisms of prepulse inhibition in Drosophila larvae
Prepulse inhibition (PPI) is a behavioural phenomenon in which a preceding weaker stimulus suppresses the startle response to a subsequent stimulus. The effect of PPI has been found to be reduced in psychiatric patients and is a promising neurophysiological indicator of psychiatric disorders. Becaus...
Saved in:
Published in: | Scientific reports 2022-09, Vol.12 (1), p.15211-15211, Article 15211 |
---|---|
Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Prepulse inhibition (PPI) is a behavioural phenomenon in which a preceding weaker stimulus suppresses the startle response to a subsequent stimulus. The effect of PPI has been found to be reduced in psychiatric patients and is a promising neurophysiological indicator of psychiatric disorders. Because the neural circuit of the startle response has been identified at the cellular level, investigating the mechanism underlying PPI in
Drosophila melanogaster
larvae through experiment-based mathematical modelling can provide valuable insights. We recently identified PPI in
Drosophila
larvae and found that PPI was reduced in larvae mutated with the
Centaurin gamma 1A
(CenG1A) gene, which may be associated with autism. In this study, we used numerical simulations to investigate the neural mechanisms underlying PPI in
Drosophila
larvae. We adjusted the parameters of a previously developed
Drosophila
larvae computational model and demonstrated that the model could reproduce several behaviours, including PPI. An analysis of the temporal changes in neuronal activity when PPI occurs using our neural circuit model suggested that the activity of specific neurons triggered by prepulses has a considerable effect on PPI. Furthermore, we validated our speculations on PPI reduction in CenG1A mutants with simulations. |
---|---|
ISSN: | 2045-2322 2045-2322 |
DOI: | 10.1038/s41598-022-19210-8 |