Publication Date:
2015
Short description:
Ventral Tegmental Area dopamine neurons in opiate withdrawal: a computational perspective / Enrico, Paolo; Michele, Migliore; Saturnino, Spiga; Giovanna, Mulas; Fabio, Caboni; Diana, Marco. - (2015), pp. 149-149. (Intervento presentato al convegno The 5th Mediterranean Conference of Neuroscience tenutosi a Santa Margherita di Pula nel 12-15 June 2015).
abstract:
Dopamine (DA) neurons of the ventral tegmental area (VTA) play a key role in the neurobiological
basis of goal-directed behaviors and addiction. Morphine (MOR) withdrawal induces profound
changes in the morphology and physiology of VTA DA cells, but the mechanisms underlying these
modifications are poorly understood.
Because of their predictive value, computational models are a powerful tool in neurobiological
research, and are often used to gain further insights and deeper understanding on the molecular and
physiological mechanisms underlying the development of various psychiatric disorders.
Here we present a biophysical model of a DA VTA neuron based on 3D morphological
reconstruction and electrophysiological data, showing how opiate withdrawal-driven morphological
and electrophysiological changes could affect the firing rate and discharge pattern.
The model findings suggest that changes in the balance of GABA/GLU inputs could explain the
experimentally observed hypofunction of VTA DA neurons, while morphological changes could be
responsible for their higher responsiveness to opiate administration observed during opiate
withdrawal.
basis of goal-directed behaviors and addiction. Morphine (MOR) withdrawal induces profound
changes in the morphology and physiology of VTA DA cells, but the mechanisms underlying these
modifications are poorly understood.
Because of their predictive value, computational models are a powerful tool in neurobiological
research, and are often used to gain further insights and deeper understanding on the molecular and
physiological mechanisms underlying the development of various psychiatric disorders.
Here we present a biophysical model of a DA VTA neuron based on 3D morphological
reconstruction and electrophysiological data, showing how opiate withdrawal-driven morphological
and electrophysiological changes could affect the firing rate and discharge pattern.
The model findings suggest that changes in the balance of GABA/GLU inputs could explain the
experimentally observed hypofunction of VTA DA neurons, while morphological changes could be
responsible for their higher responsiveness to opiate administration observed during opiate
withdrawal.
Iris type:
4.2 Abstract in Atti di convegno
Keywords:
Drug withdrawal, Dopamine, Mesolimbic system, Computational neurosciences
List of contributors:
Enrico, Paolo; Michele, Migliore; Saturnino, Spiga; Giovanna, Mulas; Fabio, Caboni; Diana, Marco
Book title:
MNS MEETING 2015