Topic: amphetamine

Quantitative methods that cluster videos of animal behavior into repeated syllables (sometimes called “motifs") have become fundamental tools for systems neuroscientists and neuroethologists. A popular approach is to use autoregressive hidden Markov models (ARHMMs) to identify behavioral syllables in the absence of labeled training data. This model, called MoSeq, has been shown to successfully segment depth-camera videos of mouse behavior into syllables that are familiar to a human observer. However, one issue with MoSeq is that it sorts behaviors which appear very similar to the human eye (e.

Methamphetamine (MA) is a psychostimulant with a high potential for abuse and neurotoxic effects, primarily affecting the brain's monoamine neurotransmitter systems. Recently, its overdose or concurrent use with alcohol (EtOH) has been associated with a notable increase in hospitalizations and mortality. In this study, we examined locomotor behavior, as well as metabolic and pharmacokinetic interactions, following the co-administration of low, medium, and high doses of MA (hydrochloride salt, 1, 4, and 10 mg/kg, intraperitoneal) and EtOH (2 g/kg, 30%, v/v, intraperitoneal) in rats. Locomotion

Reward-related disorders, elicited by recreational psychoactive drugs (cocaine, amphetamine) or natural rewards (food), are associated with functional, structural and long-lasting alterations of the brain dopamine (DA) reward system. Despite their intrinsic differences, drugs of abuse and palatable food lead to (mal)adaptive modifications of the DA system that can ultimately drive compulsive and addictive behaviours with severe health and social impacts, collectively increasing the urgent need for innovative therapeutic strategies.Visceral and interoceptive information through the vagal axis,