Biology subjects

Barker, D. J.

Publications and source records attributed to Barker, D. J..

7 recordsLinked to original sources

bioRxiv2025

Shifted balance between ventral striatal prodynorphin and proenkephalin biases development of cocaine place avoidance

Evidence from human self-report and rodent models indicate cocaine can induce a negative affective state marked by panic and anxiety, which may reduce future cocaine use or promote co-use with opiates. Dynorphin-mediated signaling within the striatum is associated with negative affect following cocaine withdrawal and stress-induced cocaine seeking. Here, we used a trace conditioning procedure to first establish the optimum parameters to capture this transient cocaine negative affective state in wild type mice, then we investigated striatal opioid peptides as a substrate mediating cocaine conditioned place avoidance (CPA). Previous reports indicate that trace conditioning, where drug administration occurs after removal from the conditioning chamber, results in CPA to ethanol, nicotine, and amphetamine. We tested different cocaine doses, conditioning session lengths, and apparatus types, to determine which combination yields the best cocaine CPA. Cocaine CPA was moderately larger at the highest cocaine dose (25 mg/kg), but this did not generalize across apparatus types and the effect was transient, thus data were collapsed across all parameters. Cocaine conditioning scores were variable, but also became more polarized across conditioning, with approximately equal proportions developing preference and avoidance. We then correlated cocaine CPA with striatal gene expression levels of the opioid peptides enkephalin (Penk) and dynorphin (Pdyn) using qPCR. Cocaine CPA was correlated with low Pdyn levels and a low Pdyn:Penk ratio in the ventral, but not dorsal, striatum. Consistent with this, mice with higher striatal Pdyn relative to Penk were more resistant to developing cocaine CPA compared to littermate controls. This approach revealed a subset of subjects sensitive to the aversive state immediately following cocaine administration. Our findings suggest striatal dynorphin has opposing roles in mediating the aversion associated with acute cocaine intoxication versus cocaine withdrawal.

neuroscience↗

bioRxiv2025

MuFIX - Enabling Combinations of Concurrent Optogenetics and Lock-in Amplification Fiber Photometry via Removal of Optogenetic Stimulation Crosstalk

Simultaneous fiber photometry and optogenetics is a powerful emerging technique for precisely studying the interactions of neuronal brain networks. However, spectral overlap between photometry and optogenetic components has severely limited the application of an all-optical approach. Due to spectral overlap, light from optogenetic stimulation saturates the photosensor and occludes photometry fluorescence, which is especially problematic in physically smaller model organism brains like mice. Here, we demonstrate the Multi-Frequency Interpolation X- talk removal algorithm (MuFIX, or {micro}FIX) for recovering crosstalk-contaminated photometry responses recorded with lock-in amplification. {micro}FIX exploits multi-frequency lock-in amplification by modeling the remaining uncontaminated data to interpolate across crosstalk- affected segments (R2 [~] 1.0); we found that this approach accurately recovers the original photometry response after demodulation (Pearsons r [~] 1.0). When applied to crosstalk- contaminated data, {micro}FIX recovered a photometry response closely resembling the dynamics of non-crosstalk photometry recorded simultaneously. Upon further verification using simulated and empirical data, we demonstrated that {micro}FIX reproduces any signal that underwent simulated crosstalk contamination (r [~] 1.0). We believe adopting {micro}FIX will enable experimental designs using simultaneous fiber photometry and optogenetics that were previously not feasible due to crosstalk.

neuroscience↗

bioRxiv2022

A novel pH-sensitive reporter reveals the cocaine-regulated trafficking of dopamine transporters in neuronal processes

The dopamine transporter (DAT) mediated DA reuptake is a major molecular mechanism for termination of dopaminergic signaling in the brain. Psychoactive substances such as cocaine act by inhibition of plasma membrane DAT function as well as by altering its expression. The precise manner and mechanism by which cocaine regulates DAT trafficking, especially at neuronal processes, are poorly understood. We have now engineered a novel pH-sensitive reporter for DAT by conjugating pHluorin to the second exofacial loop of human DAT. We show that DAT-pHluorin can be used to study DAT localization and its dynamic trafficking at neuronal processes. Using DAT-pHluorin we show that unlike neuronal soma and dendrites, which contain majority of the DATs in weakly acidic intracellular compartments, axonal DATs at both shafts and boutons are primarily (75%) localized to the plasma membrane, while varicosities contain abundant intracellular DAT within acidic intracellular structures. Using this novel reporter, we show, for the first time, that cocaine exposure leads to a brief DAT internalization followed by membrane reinsertion that lasts for days. We further show that the cocaine-induced DAT trafficking is sensitive to the activities of Synaptojanin1 phosphatase. Thus, our study using the newly engineered DAT optical reporter reveals the previously unknown dynamics and molecular regulation for cocaine-regulated DAT trafficking in neuronal processes.

neuroscience↗

bioRxiv2022

The cognitive basis of intracranial self-stimulation of midbrain dopamine neurons

Recently there has been a reckoning in the dopamine field. This has suggested that the dopamine prediction error may function as a teaching signal, without endowing preceding events with value. We studied the cognitive basis of intracranial self-stimulation (ICSS), a setting where dopamine appears to be valuable. Physiological frequencies seen during reinforcement learning did not support robust ICSS or promote behavior that would indicate the stimulation was represented as a meaningful reward in a specific or general sense. This was despite demonstrating that this same physiologically-relevant signal could function as a teaching signal. However, supraphysiological frequencies supported robust ICSS where the stimulation was represented as a specific sensory event, which acted as a goal to motivate behavior. This demonstrates that dopamine neurons only support ICSS at supraphysiological frequencies, and in a manner that does not reflect our subjective experience with endogenous firing of dopamine neurons during reinforcement learning. One sentence summaryDopamine neurons only support ICSS at supraphysiological frequencies and in a manner not reflecting dopamines role in learning.

neuroscience↗

bioRxiv2022

Pain as a Trigger for Epigenetic Modifications in Limbic Circuitry

Chronic pain involves both central and peripheral neuronal plasticity that encompasses changes in the brain, spinal cord, and peripheral nociceptors. Within the forebrain, mesocorticolimbic regions associated with emotional regulation have recently been shown to exhibit enduring gene expression changes in models of chronic pain. To better understand how such enduring transcriptional changes might be regulated within brain structures associated with processing of pain or affect, we examined epigenetic modifications associated with active or permissive transcriptional states (histone H3 lysine 4 mono and trimethylation, and histone H3 lysine 27 acetylation) in periaqueductal gray, lateral hypothalamus, nucleus accumbens, and ventral tegmental area five weeks after sciatic nerve injury to model chronic pain. For mice in chronic pain, we observed an overall trend for a reduction of these epigenetic markers in the periaqueductal gray, lateral hypothalamus, and nucleus accumbens, but not the ventral tegmental area. Moreover, we discovered that some epigenetic modifications exhibited changes associated with pain history, while others were associated with individual differences in pain sensitivity. When taken together, these results suggest that chronic pain may lead to a suppression of transcription and gene expression in key limbic brain structures and circuits, which may ultimately result in maladaptive plasticity within these systems.

neuroscience↗

bioRxiv2020

A diencephalic circuit for opioid analgesia but not positive reinforcement

Mu opioid receptor (MOR) agonists are potent analgesics, but also cause sedation, respiratory depression, and addiction risk. The epithalamic lateral habenula (LHb) signals aversive states including pain and we found it is a potent site for MOR-agonist analgesia. Importantly, LHb MOR activation is not reinforcing in the absence of noxious input. The LHb receives excitatory inputs from multiple sites including the ventral tegmental area, lateral hypothalamus, entopeduncular nucleus, and the lateral preoptic area of the hypothalamus (LPO). Here we report that LHb-projecting glutamatergic LPO neurons are excited by noxious stimulation and are preferentially inhibited by MOR selective agonists. Critically, optogenetic stimulation of LHb-projecting LPO neurons produces an aversive state that is relieved by LHb MOR activation, and optogenetic inhibition of LHb-projecting LPO neurons relieves the aversiveness of ongoing pain. Therefore, targeting this MOR sensitive forebrain circuit can relieve pain yet lower the risk of misuse by pain free individuals.

neuroscience↗

bioRxiv2020

pMAT: An Open-Source Software Suite for the Analysis of Fiber Photometry Calcium Imaging

The combined development of new technologies for neuronal recordings and the development of novel sensors for recording both cellular activity and neurotransmitter binding has ushered in a new era for the field of neuroscience. Among these new technologies is fiber photometry, a technique wherein an implanted fiber optic is used to record signals from genetically encoded fluorescent sensors in bulk tissue. Fiber photometry has been widely adapted due to its cost-effectiveness, ability to examine the activity of neurons with specific anatomical or genetic identities, and the ability to use these highly modular systems to record from one or more sensors or brain sites in both superficial and deep-brain structures. Despite these many benefits, one major hurdle for laboratories adopting this technique is the steep learning curve associated with the analysis of fiber photometry data. This has been further complicated by a lack of standardization in analysis pipelines. In the present communication, we present pMAT, a photometry modular analysis tool that allows users to accomplish common analysis routines through the use of a graphical user interface. This tool can be deployed in MATLAB and edited by more advanced users, but is also available as an independently deployable, open-source application.

neuroscience↗