2019
DOI: 10.1186/s13293-019-0276-0
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Sex differences in the ability of corticostriatal oscillations to predict rodent alcohol consumption

Abstract: Background: Although male and female rats differ in their patterns of alcohol use, little is known regarding the neural circuit activity that underlies these differences in behavior. The current study used a machine learning approach to characterize sex differences in local field potential (LFP) oscillations that may relate to sex differences in alcohol-drinking behavior.Methods: LFP oscillations were recorded from the nucleus accumbens shell and the rodent medial prefrontal cortex of adult male and female Spr… Show more

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Cited by 9 publications
(21 citation statements)
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“…LFP oscillation analysis: Similar to our previous publications [20,21,22] we built general linear models to classify rats based on group assignment (i.e., control, MIA, AE, or Dual) using LFP oscillation data. Since each rat underwent two baseline recording sessions, we used data from both sessions to build baseline models.…”
Section: Discussionmentioning
confidence: 99%
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“…LFP oscillation analysis: Similar to our previous publications [20,21,22] we built general linear models to classify rats based on group assignment (i.e., control, MIA, AE, or Dual) using LFP oscillation data. Since each rat underwent two baseline recording sessions, we used data from both sessions to build baseline models.…”
Section: Discussionmentioning
confidence: 99%
“…Model performance is reported as mean area under the receiver operating characteristic curve (AUC) ± 95% confidence interval. Because we used multiple recording sessions from the same animal and 5-second bins as samples, we also evaluated models built on permutations of binary rat groupings ("animal detector"), as previously described [22]. This was done by keeping the LFP oscillation data together with the rat it was recorded from, and shuffling the group assignment of each rat's set of recordings.…”
Section: Discussionmentioning
confidence: 99%
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