Decoding of dopaminergic mesolimbic activity and depressive behavior

Dopaminergic mesolimbic and mesocortical systems are involved in hedonia and motivation, two core symptoms of depression. However, their role in the pathophysiology of depression and their manipulation to treat depression has received little attention. Previously, we showed decreased limbic dopamine...

Full description

Saved in:
Bibliographic Details
Published in:Journal of molecular neuroscience 2007-02, Vol.32 (1), p.72-79
Main Authors: Friedman, Alexander, Deri, Ilana, Friedman, Yaakov, Dremencov, Eliyahu, Goutkin, Sophia, Kravchinsky, Elizabeth, Mintz, Matti, Levi, Dino, Overstreet, David H, Yadid, Gal
Format: Article
Language:English
Subjects:
Action Potentials - physiology
Algorithms
Animals
Antidepressants
Behavior, Animal
Depressive Disorder - physiopathology
Disease Models, Animal
Dopamine - physiology
Electrophysiology
Limbic System - physiology
Male
Mental depression
Models, Neurological
Neurology
Nucleus Accumbens - physiology
Rats
Rats, Mutant Strains
Rats, Sprague-Dawley
Rodents
Swimming
Synaptic Transmission
Ventral Tegmental Area - physiology
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!
Description
Summary:Dopaminergic mesolimbic and mesocortical systems are involved in hedonia and motivation, two core symptoms of depression. However, their role in the pathophysiology of depression and their manipulation to treat depression has received little attention. Previously, we showed decreased limbic dopamine (DA) neurotransmission in an animal model of depression, Flinder sensitive line (FSL) rats. Here we describe a high correlation between phase-space algorithm of bursting-like activity of DA cells in the ventral tegmental area (VTA) and efficiency of DA release in the accumbens. This bursting-like activity of VTA DA cells of FSL rats is characterized by a low dimension complexity. Treatment with the antidepressant desipramine affected both the dimension complexity of cell firing in the VTA and rate of DA release in the accumbens, as well as alleviating depressive-like behavior. Our findings indicate the potential usefulness of monitoring limbic dopaminergic dynamics in combination with non-linear analysis. Decoding the functionality of the dopaminergic system may help in development of future antidepressant drugs.
ISSN:0895-8696
1559-1166
DOI:10.1007/s12031-007-0016-5