Effects of Sleep Deprivation on Habitual Control of Food-Seeking: A Randomized Crossover Experiment - Data and Codes

The uploaded files are data and codes for the study Effects of Sleep Deprivation on Habitual Control of Food-Seeking: A Randomized Crossover Experiment. This manuscript is currently under review. <br> Abstract: Prior research suggests that sleep loss may intensify habitual control of behavior, increasing cue-elicited eating that is insensitive to outcome devaluation. No previous studies have examined the effects of sleep deprivation on habitual control of food-seeking behavior. Therefore, the present study aimed to evaluate the effects of one-night total sleep deprivation (TSD) on cue-elicited food-seeking and its interaction with satiation and food palatability. It was hypothesized that TSD would lead to greater cue-elicited food-seeking that is insensitive to satiation especially when the food outcome is highly palatable. Ninety-six adults participated in this within-individual, randomized, crossover experiment, with a three-day washout period in between the TSD and normal sleep duration (NSD) conditions. Participants completed the Pavlovian-instrumental transfer (PIT) paradigm, adopted to measure the degree to which conditioned cues influenced the vigor of food-seeking responses. One-night TSD was not found to increase cue-elicited food-seeking. However, cue-elicited food-seeking was less sensitive to satiation following TSD; food-seeking responses reduced by 13% after satiation in the NSD condition compared to 1% in TSD. Pavlovian cues enhanced food-seeking responses only when the food reward was highly palatable as opposed to low-palatable food, even when subjective liking of food was controlled. To conclude, the present study for the first time showed that sleep deprivation influenced one’s modulation of cue-elicited food-seeking following satiation and that conditioned cues only influenced the motivation for highly palatable food but not low-palatability food. <br> Description of uploaded files: <br> codes_R contains the R codes running all the analysis using the following datafiles: data_allparticipants.csv contains the PIT testing data data_participants_success_learning.csv contains the data of the PIT training quiry trials data_participants_success_recall.csv contains the data of PIT testing quiry trials demographic.csv contains demographic data covariates.csv contains the data of go no go, working memory, and delay discounting calorie_data.csv contains data of caloric consumption during satiation <br> <br>