Browsing by Author "Linsenbardt, David"

Now showing 1 - 5 of 5
  • Thumbnail Image
    Item
    Compulsive alcohol drinking in rodents is associated with altered representations of behavioral control and seeking in dorsal medial prefrontal cortex
    (Springer, 2022-07-09) Timme, Nicholas M.; Ma, Baofeng; Linsenbardt, David; Cornwell , Ethan; Galbari, Taylor; Lapish, Christopher C.; Psychology, School of Science
    A key feature of compulsive alcohol drinking is continuing to drink despite negative consequences. To examine the changes in neural activity that underlie this behavior, compulsive alcohol drinking was assessed in a validated rodent model of heritable risk for excessive drinking (alcohol preferring (P) rats). Neural activity was measured in dorsal medial prefrontal cortex (dmPFC—a brain region involved in maladaptive decision-making) and assessed via change point analyses and novel principal component analyses. Neural population representations of specific decision-making variables were measured to determine how they were altered in animals that drink alcohol compulsively. Compulsive animals showed weakened representations of behavioral control signals, but strengthened representations of alcohol seeking-related signals. Finally, chemogenetic-based excitation of dmPFC prevented escalation of compulsive alcohol drinking. Collectively, these data indicate that compulsive alcohol drinking in rats is associated with alterations in dmPFC neural activity that underlie diminished behavioral control and enhanced seeking.
  • Thumbnail Image
    Item
    Determining the Impact of Repeated Binge Drinking on Corticostriatal Theta Synchrony
    (2020-12) Ardinger, Cherish; Lapish, Christopher; Grahame, Nicholas; Linsenbardt, David
    The development of alcohol use disorder (AUD) is believed to involve functional adaptations in corticostriatal projections which regulate the reinforcing properties of ethanol (EtOH). To further our understanding of how repeated EtOH consumption impacts the corticostriatal circuit, extracellular electrophysiological recordings (local field potentials; LFPs) were gathered from the nucleus accumbens and prefrontal cortex of female and male C57BL/6J mice voluntarily consuming EtOH or water using ‘drinking-in-the-dark’ (DID) procedures. Mice were given 15 consecutive days of two-hours of access to EtOH (20% v/v), three hours into the dark cycle while LFPs were recorded. To determine the impact of repeated EtOH consumption on neural activity between these brain regions, theta phase-locking value (PLV, a measure of synchrony) was calculated. Specifically, theta PLV was calculated during active drinking periods (bouts) and average PLV during the first bout was compared to the last bout to determine within session changes in synchrony. Results indicated significantly lower PLV during the last bout than the first bout. Additionally, longer bouts predicted lower PLV during the last bout, but not the first bout when mice were consuming EtOH. These results may suggest that alcohol intoxication decreases corticostriatal synchrony over a drinking period. Results considering changes in theta power spectral density (PSD) indicated an increase in PSD when mice were given access to water during the typical EtOH access time following the 15-day EtOH drinking history. This effect was not seen when mice were drinking water prior to EtOH access and may be indicative of a successive negative contrast effect. This work identifies unique functional characteristics of corticostriatal communication associated with binge-like EtOH intake and sets the stage for identifying the biological mechanisms subserving them.
  • Thumbnail Image
    Item
    Impact of Acute Ethanol Injections on Medial Prefrontal Cortex Neural Activity
    (2019-12) Morningstar, Mitchell D.; Lapish, Christopher; Goodlett, Charles; Linsenbardt, David
    The medial prefrontal cortex (mPFC) is a cortical brain region involved in the evaluation and selection of motivationally relevant outcomes. mPFC-mediated cognitive functions are impaired following acute alcohol exposure. In rodent models, ethanol (EtOH) doses as low as 0.75 g/kg yield deficits in cognitive functions. These deficits following acute EtOH are thought to be mediated, at least in part, by decreases in mPFC firing rates. However, these data have been generated exclusively in anesthetized rodents. To eliminate the potentially confounding role of anesthesia on EtOH modulated mPFC activity, the present study investigated the effects of acute EtOH injections on mPFC neural activity in awake-behaving rodents. We utilized three groups: the first group received 2 saline injections during the recording. The second group received a saline injection followed 30 minutes later by a 1.0 g/kg EtOH injection. The last group received a saline injection followed 30 minutes later by a 2.0 g/kg EtOH injection. One week following the awake-behaving recording, an anesthetized recording was performed using one dose of saline followed 30 minutes later by one dose of 1.0 g/kg EtOH in order to replicate previous studies. Firing rates were normalized to a baseline period that occurred 5 minutes prior to each injection. A 5-minute time period 30 minutes following the injection was used to compare across groups. There were no significant differences across the awake-behaving saline-saline group, indicating no major effect on mPFC neural activity as a result of repeated injections. There was a significant main effect across treatment & behavioral groups in the saline-EtOH 1.0 g/kg group with reductions in the EtOH & Sleep condition. In the saline-EtOH 2.0 g/kg, mPFC neural activity was only reduced in lowered states of vigilance. This suggests that EtOH only causes gross changes on neural activity when the animal is not active and behaving. Ultimately this means that EtOH’s impact on decision making is not due to gross changes in mPFC neural activity and future work should investigate its mechanism.
  • Thumbnail Image
    Item
    A Method to Present and Analyze Ensembles of Information Sources
    (MCPI, 2020-05-21) Timme, Nicholas M.; Linsenbardt, David; Lapish, Christopher C.; Psychiatry, School of Medicine
    Information theory is a powerful tool for analyzing complex systems. In many areas of neuroscience, it is now possible to gather data from large ensembles of neural variables (e.g., data from many neurons, genes, or voxels). The individual variables can be analyzed with information theory to provide estimates of information shared between variables (forming a network between variables), or between neural variables and other variables (e.g., behavior or sensory stimuli). However, it can be difficult to (1) evaluate if the ensemble is significantly different from what would be expected in a purely noisy system and (2) determine if two ensembles are different. Herein, we introduce relatively simple methods to address these problems by analyzing ensembles of information sources. We demonstrate how an ensemble built of mutual information connections can be compared to null surrogate data to determine if the ensemble is significantly different from noise. Next, we show how two ensembles can be compared using a randomization process to determine if the sources in one contain more information than the other. All code necessary to carry out these analyses and demonstrations are provided.
  • Thumbnail Image
    Item
    Neural basis of cognitive control signals in anterior cingulate cortex during delay discounting
    (bioRxiv, 2024-06-08) Seamans, Jeremy K.; White, Shelby; Morningstar, Mitchell; Emberly, Eldon; Linsenbardt, David; Ma, Baofeng; Czachowski, Cristine L.; Lapish, Christopher C.; Anatomy, Cell Biology and Physiology, School of Medicine
    Cognitive control involves allocating cognitive effort according to internal needs and task demands and the Anterior Cingulate Cortex (ACC) is hypothesized to play a central role in this process. We investigated the neural basis of cognitive control in the ACC of rats performing an adjusting-amount delay discounting task. Decision-making in this this task can be guided by using either a lever-value tracking strategy, requiring a 'resource-based' form of cognitive effort or a lever-biased strategy requiring a 'resistance-based' form of cognitive effort. We found that ACC ensembles always tightly tracked lever value on each trial, indicative of a resource-based control signal. These signals were prevalent in the neural recordings and were influenced by the delay. A shorter delay was associated with devaluing of the immediate option and a longer delay was associated with overvaluing of the immediate option. In addition, ACC theta (6-12Hz) oscillations were observed at the choice point of rats exhibiting a resistance-based strategy. These data provide candidates of neural activity patterns in the ACC that underlie the use of 'resource-based' and 'resistance-based' cognitive effort. Furthermore, these data illustrate how strategies can be engaged under different conditions in individual subjects.