A Computational Model for the Simulation of Prepulse Inhibition and Its Modulation by Cortical and Subcortical Units.

acoustic startle response computational neuroscience prepulse inhibition

Journal

Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646

Informations de publication

Date de publication:
15 May 2024
Historique:
received: 19 04 2024
revised: 10 05 2024
accepted: 11 05 2024
medline: 25 5 2024
pubmed: 25 5 2024
entrez: 25 5 2024
Statut: epublish

Résumé

The sensorimotor gating is a nervous system function that modulates the acoustic startle response (ASR). Prepulse inhibition (PPI) phenomenon is an operational measure of sensorimotor gating, defined as the reduction of ASR when a high intensity sound (pulse) is preceded in milliseconds by a weaker stimulus (prepulse). Brainstem nuclei are associated with the mediation of ASR and PPI, whereas cortical and subcortical regions are associated with their modulation. However, it is still unclear how the modulatory units can influence PPI. In the present work, we developed a computational model of a neural circuit involved in the mediation (brainstem units) and modulation (cortical and subcortical units) of ASR and PPI. The activities of all units were modeled by the leaky-integrator formalism for neural population. The model reproduces basic features of PPI observed in experiments, such as the effects of changes in interstimulus interval, prepulse intensity, and habituation of ASR. The simulation of GABAergic and dopaminergic drugs impaired PPI by their effects over subcortical units activity. The results show that subcortical units constitute a central hub for PPI modulation. The presented computational model offers a valuable tool to investigate the neurobiology associated with disorder-related impairments in PPI.

Identifiants

pubmed: 38790479
pii: brainsci14050502
doi: 10.3390/brainsci14050502
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Coordenação de Aperfeicoamento de Pessoal de Nível Superior
ID : 88887.701080/2022-0
Organisme : Fundação de Amparo à Pesquisa do Estado de São Paulo
ID : 2021/12832-7
Organisme : Fundação de Amparo à Pesquisa do Estado de São Paulo
ID : 2013/07699-0
Organisme : National Council for Scientific and Technological Development
ID : 03359/2022-6

Auteurs

Thiago Ohno Bezerra (TO)

Center of Mathematics, Computation and Cognition, Universidade Federal do ABC, São Bernardo do Campo 09606-045, Brazil.

Antonio C Roque (AC)

Department of Physics, School of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, Ribeirão Preto 14040-901, Brazil.

Cristiane Salum (C)

Center of Mathematics, Computation and Cognition, Universidade Federal do ABC, São Bernardo do Campo 09606-045, Brazil.
Interdisciplinary Applied Neuroscience Unit, Universidade Federal do ABC, São Bernardo do Campo 09606-045, Brazil.

Classifications MeSH