Adolescent alcohol consumption alters sex-specific behaviors associated with prefrontal functional connectivity in mice
Seemiller, L. R.; Unsal, H. S.; Xie, Y.; Hossain, M. S.; Tuttle, K.; Johnson-Dendy, B.; McDonald, E.; Drew, P. J.; Zhang, N.; Crowley, N. A.
Show abstract
The prefrontal cortex (PFC) is one of the last brain regions to fully mature, making it particularly sensitive to drug use early in life. Both human and rodent studies find long-lasting behavioral changes after adolescent alcohol exposure that implicate underlying disruptions in PFC development, including structural abnormalities and altered brain functional connectivity. Few rodent studies have been conducted to understand the network-level implications of these disruptions. We assessed how adolescent binge-like alcohol consumption in a drinking in the dark (DID) model affected adult alcohol consumption, behavioral exploration, and brain-wide functional connectivity in mice. Approximately one month after the conclusion of DID, only female mice exposed to alcohol during adolescence exhibited aversion-resistant alcohol preference in adulthood. Adult females exhibited additional sex-specific changes in exploratory behavior in the elevated plus maze after adolescent alcohol consumption. Resting state neuroimaging revealed sex-specific changes in prefrontal cortical connections with sensory motor, hippocampal, striatal, and other networks, providing insights into the putative systems underlying deficits caused by adolescent alcohol exposure. Critically, our data corroborate a growing body of literature in human and rodent studies demonstrating that adolescent alcohol use may increase risk for adult alcohol use more strongly in females. Finally, we identify neural correlates of this effect that include both known and novel neural networks and tie these back to human datasets, allowing biological and mechanistic targets to be further explored for future study and interventions.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Enhancement of alcohol aversion by the nicotinic acetylcholine receptor drug sazetidine-A 95%
- Individual differences in the engagement of habitual control over alcohol seeking predicts the development of compulsive alcoholseeking and drinking 95%
- Baclofen decreases compulsive alcohol drinking in rats characterised by reduced levels of GAT-3 in the central amygdala 95%
Similar papers in this journal
- Dynamic regulation of CeA gene expression during acute and protracted abstinence from chronic binge drinking of male and female C57BL/6J mice. 96%
- Lateral hypothalamus CRFR1 regulation of chronic binge drinking: divergence along anterior-posterior axis 95%
- Acute and chronic alcohol modulation of extended amygdala calcium dynamics 95%
Similar papers in this journal
- Peripheral alcohol metabolism dictates ethanol consumption and drinking microstructure in mice 96%
- Effects of early life stress paired with adolescent alcohol consumption on two-bottle choice alcohol drinking behaviors in mice 94%
- Age- and alcohol-related differences in adolescent neurometabolite levels 94%
Similar papers in this journal
- Mediodorsal thalamus of alcohol-dependent mice shows genetic and physiological adaptations and alcohol-biased calcium signaling 97%
- Repeated Binge Alcohol Drinking Leads to Reductions in Corticostriatal Theta Coherence in Female but not Male Mice 96%
- Non-Consummatory Behavior Signals Predict Aversion-Resistant Alcohol Drinking in Head-Fixed Mice 95%
Similar papers in this journal
- Sex- and Subtype-Specific Adaptations in Excitatory Signaling Onto Deep-Layer Prelimbic Cortical Pyramidal Neurons After Chronic Alcohol Exposure 94%
- Perinatal THC Exposure via Lactation Induces Lasting Alterations to Social Behavior and Prefrontal Cortex Function in Rats at Adulthood 94%
- Chronic adolescent exposure to cannabis in mice leads to sex-biased changes in gene expression networks across brain regions 94%
"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.