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Biomedical subjects

F Piat

Publications and source records attributed to F Piat.

2 recordsLinked to original sources

Study of the addictive potential of modafinil in naive and cocaine-experienced rats.

RATIONALE: Modafinil is a drug that promotes wakefulness and, as such, is used to treat hypersomnia and narcolepsy. Preclinical and clinical studies suggest that modafinil could possess weak reinforcing effects in drug-experienced subjects. However, its abuse potential in drug-naive healthy individuals is still totally uninvestigated, despite the fact that availability of modafinil has recently increased. OBJECTIVES: The purpose of our study was to investigate the potential addictive properties of modafinil by testing its reinforcing effects in naive rats. The interactions of modafinil with the reinforcing effects of cocaine were also tested. METHODS: First, using i.v. self-administration and place conditioning tests, we studied the reinforcing and rewarding effects of a large range of doses of modafinil in naive rats. Second, we tested the influence of modafinil on reinforcing and incentive effects of cocaine in rats trained for cocaine self-administration. The effects of modafinil were compared with those of amphetamine and haloperidol. RESULTS: Modafinil did not produce reinforcing or rewarding effects and did not modify the effects of cocaine. CONCLUSIONS: Our results suggest that modafinil does not possess an addictive potential in naive individuals. Furthermore, it would be behaviorally distinct from classical central nervous system stimulants which are known to alter cocaine-induced effects. However, as shown previously in nonhuman primates and in humans, modafinil could possibly have reinforcing effects in cocaine-experienced individuals.

Animals↗

A stochastic model for interconnected neurons.

A model is proposed to describe the collective behavior of a biologically plausible neural network, composed of interconnected spiking neurons which separately receive external stationary stimulations. The spiking dynamics of each neuron is represented by an hourglass metaphor. This network model was first studied in a special case where the connections are only inhibitory (Cottrell, 1988, 1992). We study the network dynamics as a function of the parameters which quantify the strengths of both inhibitory and excitatory connections. We show that the model exhibits two kinds of limit states. In the first states (convergent case), the system is ergodic and all neurons have a positive mean firing rate. In the other states (divergent case), some neurons become definitively inactive while the sub-network of the active neurons is ergodic. The patterns which result from these divergent states can be seen as a neural coding of the external stimulation by the network. This property is applied to the olfactory system to produce a code for an odor. The role of inhibitory connections in odor discrimination is studied.

Action Potentials↗