Exogenous Cannabinoids Impair Effort-Related Decision-Making via Affecting Neural Synchronization between the Anterior Cingulate Cortex and Nucleus Accumbens

Humans and animals frequently make an endeavor-based choice based on assessing reinforcement value and response costs. The cortical-limbic-striatal pathway mediates endeavor-based choice behavior, including the nucleus accumbens (NAc) and the anterior cingulate cortex (ACC). Furthermore, cannabinoid agonists demonstratively impairs decision-making processes. In this study, neural synchronization and functional connectivity between the NAc and ACC while endeavor-related decision-making and reaching reward were evaluated. The effect of exogenous cannabinoids on this synchronization was then assessed. A T-maze decision-making task with a differential expense (low vs. high endeavor) and remuneration (low vs. high remuneration) was performed and local field potentials (LFP) from the ACC and NAc were registered simultaneously. Results showed functional connectivity during endeavor-related decision-making while the animals chose the high endeavor/high remuneration in both regions’ delta/beta (1–4 and 13–30 Hertz) frequency bands. Furthermore, functional connectivity existed between both areas in delta/theta (1–4 and 4–12) frequencies while reaching a remuneration. However, neural simultaneity was not observed while the animals received cannabinoid agonists, making a decision and reaching remuneration. The obtained results demonstrated that functional connectivity and neural simultaneity between the NAc and ACC in delta/beta and delta/theta frequencies have a role in endeavor-related decision-making and reaching remuneration, respectively. The effect of exogenous cannabinoids on decision-making impairment is relevant to changes in the ACC and NAC brain wave frequencies.

Socio-cognitive Determinants of Healthy Sleep Behaviors Among Iranian Elderly: Application of the Theory of Planned Behavior

Background: Sleep quality and quantity disorders are among the most important problems in old age. Healthy sleep behaviors are among the best ways to deal with sleep disorders among the elderly. This study aimed to determine the socio-cognitive determinants predicting healthy sleep behaviors among the elderly who had been referred to the retirement centers in Hamadan, Iran. Methods: This cross-sectional study was performed among 288 elderly people who had been referred to the retirement centers in Hamadan, Iran in 2020, and were selected through stratified random sampling. Data were collected online using a self-administered questionnaire with items on demographic characteristics and the theory of planned behavior (TPB) constructs. Data were analyzed by SPSS software (version 16) using Pearson correlation, independent t test, one-way ANOVA, and linear regression tests at the significance level of 0.05. Results: The mean (±standard deviation) age of respondents in this study was 67.2 (±6.3) years. Perceived behavior control (β=0.409), attitude (β=0.251), and subjective norms (β=0.205) were stronger predictors of healthy sleep behavior intention among the elderly, respectively; collectively, they accounted for 28.5% of the variation in sleep health behavior intention. Behavioral intention (β=0.429) and perceived behavioral control (β=0.167) were also predictors of healthy sleep behaviors among the elderly. There was a statistically significant relationship between the educational level and healthy sleep behaviors (P<0.05). Conclusion: It seems that the development and implementation of educational programs based on the TPB for the improvement of attitudes, subjective norms, and perceived behavior control can play an effective role in promoting healthy sleep behaviors and sleep quality among the elderly.