A neuropsychological basis for temptation-resistant voluntary exercise
Tesmer, A. L.; Li, X.; Schmandt, C.; Polania, R.; Peleg-Raibstein, D.; Burdakov, D.
Show abstract
Despite well-known health benefits of physical activity, many people under-exercise, and what drives prioritization of exercise over other alternatives is unclear. We implement a novel paradigm allowing to study how freely behaving mice rapidly display such prioritizing between time spent on wheel-running and other temptations such as palatable food. Causal manipulations and correlative analyses of underlying appetitive and consummatory psychobehavioral processes revealed this prioritizing to be instantiated by hypothalamic hypocretin/orexin neurons.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- A brainstem to hypothalamic arcuate nucleus GABAergic circuit drives feeding 96%
- Orbitofrontal cortex populations are differentially recruited to support actions 96%
- Parvalbumin Interneurons Inhibition onto BLA Projecting Neurons of the Anterior Insula Orchestrates Aversive Taste Memory Retrieval 96%
Similar papers in this journal
- Orexin population activity precisely reflects net body movement across behavioral and metabolic states 97%
- Metabolic-sensing in AgRP neurons integrates homeostatic state with dopamine signalling in the striatum 96%
- Hippocampal-hypothalamic circuit controls context-dependent innate defensive responses 96%
Similar papers in this journal
- Change-of-mind neuroeconomic decision-making is modulated by LINC00473 in medial prefrontal cortex in a sex-dependent manner 96%
- The gut-brain vagal axis governs mesolimbic dopamine dynamics and reward events 96%
- Dynamic Overrepresentation of Accumbal Cues in Food- and Opioid-Seeking Rats after Prenatal THC Exposure 96%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.