"Food addiction" has become a focus of interest for researchers attempting to explain certain processes and/or behaviors that may contribute to the development of obesity. Although the scientific discussion on "food addiction" is in its nascent stage, it has potentially important implications for treatment and prevention strategies. As such, it is important to critically reflect on the appropriateness of the term "food addiction", which combines the concepts of "substance-based" and behavioral addiction. The currently available evidence for a substance-based food addiction is poor, partly because systematic clinical and translational studies are still at an early stage. We do however view both animal and existing human data as consistent with the existence of addictive eating behavior. Accordingly, we stress that similar to other behaviors eating can become an addiction in thus predisposed individuals under specific environmental circumstances. Here, we introduce current diagnostic and neurobiological concepts of substance-related and non-substance-related addictive disorders, and highlight the similarities and dissimilarities between addiction and overeating. We conclude that "food addiction" is a misnomer because of the ambiguous connotation of a substance-related phenomenon. We instead propose the term "eating addiction" to underscore the behavioral addiction to eating; future research should attempt to define the diagnostic criteria for an eating addiction, for which DSM-5 now offers an umbrella via the introduction on Non-Substance-Related Disorders within the category Substance-Related and Addictive Disorders.

We here describe a technique to transiently activate specific neural pathways in vivo. It comprises the combined use of a CRE-recombinase expressing canine adenovirus-2 (CAV-2) and an adeno-associated virus (AAV-hSyn-DIO-hM3D(Gq)-mCherry) that contains the floxed inverted sequence of the designer receptor exclusively activated by designer drugs (DREADD) hM3D(Gq)-mCherry. CAV-2 retrogradely infects projection neurons, which allowed us to specifically express hM3D(Gq)-mCherry in neurons that project from the ventral tegmental area (VTA) to the nucleus accumbens (Acb), the majority of which were dopaminergic. Activation of hM3D(Gq)-mCherry by intraperitoneal (i.p.) injections of clozapine-N-oxide (CNO) leads to increases in neuronal activity, which enabled us to specifically activate VTA to Acb projection neurons. The VTA to Acb pathway is part of the mesolimbic dopamine system and has been implicated in behavioral activation and the exertion of effort. Injections of all doses of CNO led to increases in progressive ratio (PR) performance. The effect of the lowest dose of CNO was suppressed by administration of a DRD1-antagonist, suggesting that CNO-induced increases in PR-performance are at least in part mediated by DRD1-signaling. We hereby validate the combined use of CAV-2 and DREADD-technology to activate specific neural pathways and determine consequent changes in behaviorally relevant paradigms.

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Male Wistar rats were treated with 3,4-methylenedioxymethamphetamine (MDMA, 'Ecstasy') using either a high dose (4 Â 5 mg/kg over 4 h) or low dose (1 Â 5 mg/kg over 4 h) regimen on each of 2 consecutive days. After 10 weeks, rats were tested in the social interaction and emergence tests of anxiety. Rats previously given either of the MDMA dose regimens were significantly more anxious on both tests. After behavioral testing, and 3 months after the MDMA treatment, the rats were killed and their brains examined. Rats given the high-, but not the low-, dose MDMA treatment regimen exhibited significant loss of 5-hydroxytryptamine (5-HT) and 5-HIAA in the amygdala, hippocampus, striatum, and cortex. Quantitative autoradiography showed loss of SERT binding in cortical, hippocampal, thalamic, and hypothalamic sites with the high-dose MDMA regime, while low-dose MDMA only produced significant loss in the medial hypothalamus. Neither high-nor low-dose MDMA affected 5HT 1A receptor density. High-dose MDMA increased 5HT 1B receptor density in the nucleus accumbens and lateral septum but decreased binding in the globus pallidus, insular cortex and medial thalamus. Low-dose MDMA decreased 5HT 1B receptor density in the hippocampus, globus pallidus, and medial thalamus. High-dose MDMA caused dramatic decreases in cortical, striatal, thalamic, and hypothalamic 5HT 2A / 2C receptor density, while low-dose MDMA tended to produce similar effects but only significantly in the piriform cortex. These data suggest that even brief, relatively low-dose MDMA exposure can produce significant, long-term changes in 5-HT receptor and transporter function and associated emotional behavior. Interestingly, long-term 5-HT depletion may not be necessary to produce lasting effects on anxiety-like behavior after low-dose MDMA.

The orbitofrontal cortex (OFC) has been implicated in decision-making under uncertainty, but it is unknown how information about the probability or uncertainty of future reward is coded by single orbitofrontal neurons and ensembles. We recorded neuronal ensembles in rat OFC during an olfactory discrimination task in which different odor stimuli predicted different reward probabilities. Single-unit firing patterns correlated to the expected reward probability primarily within an immobile waiting period before reward delivery but also when the rat executed movements toward the reward site. During these pre-reward periods, a subset of OFC neurons was sensitive to differences in probability but only very rarely discriminated on the basis of reward uncertainty. In the reward period, neurons responded during presentation or omission of reward or during both types of outcome. At the population level, neurons were characterized by a wide divergence in firing-rate variability attributable to expected probability. A population analysis using template matching as reconstruction method indicated that OFC generates a distributed representation of reward probability with a weak dependence on neuronal group size. The analysis furthermore confirmed that predictive information coded by OFC populations was quantitatively related to reward probability, but not to uncertainty.