eneuro

Traumatic brain injury (TBI) impacts millions of individuals annually causing death, disability, and a heightened risk for long-term neurological and neuropsychiatric disorders. In recent years the fruit fly, Drosophila melanogaster has become a valuable model organism to study the cellular and molecular responses following TBI. AP-1 mediated transcriptional responses to TBI have previously been identified in Drosophila using pan-glial approaches. Fruit flies possess multiple glial subtypes which vary greatly in both cellular morphology and function, including glia of the blood hemolymph barrier, cortex, astrocyte-like, and ensheathing glia. By generating and utilizing a nuclear localized AP-1 transcriptional reporter, we identified glial subtype-specific differences in the extent of AP-1 activation following injury. Our findings identify a strong AP-1 response in the blood hemolymph barrier and ensheathing glia, a moderate response in cortex glia and little to no AP-1 activation in astrocyte-like glia. In addition, we inhibited AP-1 signaling in each glial subtype and tested the effect on acute survival. We found that inhibition of the AP-1 response in neuropil ensheathing glia leads to increased mortality following mild and moderate TBI. These results show that AP-1 activation levels vary across glial subtypes after TBI, with activation in neuropil ensheathing glia having a particularly important role in promoting post-injury survival. ARTICLE SUMMARYUsing Drosophila as a model organism, we investigated the early molecular and cellular response to traumatic brain injury. Our findings substantiate the requirement of a functional glial associated AP-1 transcriptional activation response for survival. Using colocalization studies, we characterized the AP-1 glial response in six morphologically and functionally distinct glia subtypes. After TBI, we find high levels of AP-1 activation in glia of the hemolymph brain barrier, cortex glia, and ensheathing glia. We further show the importance of AP-1 transcription within the neuropil ensheathing glia subtype for optimal survival following TBI.

The development of a new integrated operant system was driven by two challenges in behavioral neuroscience: the high cost and technical complexity of commercial rigs, and their limited adaptability across experiments. We developed the NeuroHab, an integrated behavioral arena for high-fidelity operant conditioning and automated data collection in a single unified system. Food and water reward, conditioned-stimulus presentation, and event recording are tied together programmatically with easy-to-install open-source code to facilitate throughput and reproducibility. All behavioral events are processed by internal microcontrollers and logged with <1 ms latency (typical range 56-728 s). This precise timing is critical for integrating the system with two-photon imaging and electrophysiology, enabling real-time alignment of behavior with brain activity. The NeuroHab uses solenoid-actuated, capacitive-sensing Lickports that let an untethered mouse drink from an automated port, and delivers food via the Kravitz Lab FED3. Conditioned stimuli are presented by dedicated buzzer/LED modules. A central controller (the Core) coordinates all modules and logs event timestamps using TTL-low signaling between two microcontrollers, at a maximum recording rate of 16.67 Hz for single-pulse events. We have deployed the NeuroHab in over 50 behavior trials and over 20 sessions alongside a Mini two-photon microscope. At approximately $1,400, easily modified, and compatible with existing analysis tools, the NeuroHab lowers barriers to multimodal behavioral neuroscience. Significance StatementThe study of how neural activity gives rise to behavior depends on operant systems that are both temporally precise and affordable, yet commercial rigs are costly and difficult to adapt across experiments. We introduce the NeuroHab, an integrated, open-source operant platform that unifies reward delivery, conditioned-stimulus presentation, and event logging with sub-millisecond timing (typical latency 56-728 s). Built for approximately $1,400, the system forwards all behavioral timestamps to external acquisition hardware, enabling millisecond-scale alignment of behavior with two-photon imaging and electrophysiology. By lowering the cost and technical barriers to synchronized behavioral and neural recording, the NeuroHab makes multimodal, reproducible operant neuroscience accessible to a broad range of laboratories and adaptable to diverse experimental paradigms.

Despite our best efforts to stay focused on a task, our arousal waxes and wanes over time. Lower levels of arousal are typically associated with drowsiness, whereas higher levels are often associated with stress. These changes in arousal move us away from ideal task performance and manifest as fluctuations in neural activity. We asked whether moment-by-moment neurofeedback could be used to counteract neural fluctuations and thereby regulate arousal levels. Here, we developed an intracortical brain-computer interface (BCI) in which animals used visual neurofeedback to maintain neural population activity in prefrontal cortex near a pre-specified activity target. We found animals used moment-to-moment neurofeedback to reduce neural fluctuations on timescales of seconds to hundreds of milliseconds, and that arousal-related regulation of neural activity was associated with BCI use. Our findings suggest that neurofeedback may enhance or restore regulation of neural activity, with potential clinical applications in conditions where such regulation is impaired.

Drosophila connectomic datasets provide increasingly comprehensive maps of neuronal morphology and synaptic connectivity, offering an unprecedented opportunity to explore the structural organization of its neural circuits. This calls for designing automated tools to interact with connectomic datasets at scale for efficiently exploring structural features embedded in the vast amount of data. Yet the central challenge remains the understanding of the functional logic of neural circuits. In order to understand how elements of the functional logic may emerge from this structural organization, it is critical to (i) characterize the objects in the natural environment in which brain circuits operate, and (ii) formulate how brain circuits represent and process the defined objects in the natural environment. To develop and demonstrate a methodology for these requirements, we focus on the Drosophila looming-evoked escape pathway. We modeled the trajectory of looming objects that are on a collision course (direct-hits) or pass-by the fly (near-misses): their projected images on the retina can be characterized by the solid angle (angular size) and elevation. We then analyzed the pathway's morphology across the OpticLobe, Hemibrain, and FlyWire connectome datasets. By abstracting their sub-neuronal structure and retinotopic organization, we constructed an executable circuit model that maps each structural element to a processing block. We demonstrate that this model separates direct hits from near misses well before the angular size could tell them apart. To accelerate the connectomic analysis step, we developed a Python toolset with an agentic, code-free workspace interface called NeuroGraphBench (NGB). NGB provides four composable morphology-analysis primitives and an AI agent that composes them to interactively respond to natural-language queries aided by visualization on an interactive 3D canvas. Thus, NGB automates tedious and repetitive tasks to enable faster and scalable connectomic exploration, keeping human reasoning, instead of writing code, at the center of an open-ended research inquiry.

Astrocytes play an important role in neuronal health. A critical function of astrocytes is to clear excess extracellular glutamate and prevent excitotoxicity. STAT3 is a transcription factor that promotes astrocyte development and astrocyte reactivity in neurodegenerative diseases and following central nervous system injury. To determine the innate molecular and behavioral functions of adult astrocyte-expressed STAT3 in a non-pathological state, we created conditional Stat3 astrocyte knockout mice (Stat3 aKO) using Stat3flox and the tamoxifen-activated Cre line, Aldh1l1-Cre/ERT2. We measured transcript levels of Gfap, a known STAT3 target gene, and glutamate transporter genes in the medial prefrontal cortex (PFC) of Stat3 aKO. Gfap, Slc1a2 and Slc17a8 transcripts were decreased in the PFC of Stat3 aKO of both sexes. GLT-1 protein, encoded by Slc1a2, was also reduced in the PFC of male Stat3 aKO. We recorded spontaneous excitatory post-synaptic currents (sEPSCs) in male Stat3 aKO and control prelimbic pyramidal neurons and found increased sEPSC amplitude, consistent with a hyper-glutamatergic state due to impaired glutamate clearance. To determine the behavioral consequences of STAT3 depletion in astrocytes, Stat3 aKO were tested for locomotor activity, anxiety-like behavior and binge ethanol consumption, behaviors linked to dysregulation of glutamate homeostasis. Stat3 aKO mice did not differ in locomotor activity or anxiety-like behavior; however, male Stat3 aKO mice consumed significantly less ethanol than controls. These results indicate that STAT3 in adult astrocytes is crucial for maintaining glutamate transporter levels in the adult brain and that astrocytic STAT3 promotes ethanol consumption in male mice. Main pointsO_LIGfap, Slc1a2 and Slc17a8 expression are lower in the cortex of Stat3 astrocyte knockout mice (Stat3 aKO) C_LIO_LIGLT-1 protein is decreased and glutamate neurotransmission is elevated in the cortex of male Stat3 aKO C_LIO_LIMale Stat3 aKO consume less ethanol C_LI

Decisions are often modeled as a sequential process in which evidence accumulates until it reaches a threshold, triggering a response. Studies in freely moving animals raise questions about how ongoing behavior, not just stimulus properties, shapes this process. We trained rats of both sexes on a visual detection task with three luminance levels, each associated with the same reward outcome. Rats controlled cue duration through sustained head entries into a center port, yielding a measurable index of active sampling. Females consistently sampled longer than males. Sampling durations were shorter on error than correct trials, and reaction times were longer on error trials. We used drift diffusion models to relate these behaviors to the decision process. Luminance selectively affected the rate of evidence accumulation, with drift rate increasing monotonically across low, mid, and high luminance levels. Active sampling time was associated with the decision threshold, with longer sampling predicting higher thresholds in both sexes. The relationship between sampling time and drift rate differed by sex. Females showed a negative association between sampling duration and drift rate that was absent in males. These findings suggest that cue properties and active sampling make separable contributions to the decision process. These findings suggest that cue properties and active sampling make separable contributions to decision making, with a negative association between sampling duration and drift rate evident in females but not males.

The sodium leak channel NALCN regulates resting membrane potential and spontaneous firing in neurons and can be modulated by G-protein coupled receptors (GPCRs). Whether metabotropic glutamate receptors (mGluRs) modulate NALCN is unknown and would represent a novel mechanism through which glutamate could affect neuronal excitability. Here we examine NALCN function and modulation by mGluRs in cerebellar unipolar brush cells (UBCs) in mouse brain slices. Activation of group II mGluRs inhibited the NALCN current through a G protein-dependent mechanism, as the effect was abolished by intracellular GDP-{beta}-S and by NALCN deletion. The OFF UBC subtype that is inhibited by glutamate had a larger NALCN current than the ON UBC subtype that is excited by glutamate. OFF UBCs also had a tonic NALCN current that was absent in ON UBCs. Genetic deletion of NALCN converted the regular spontaneous firing pattern of OFF UBCs, to an irregular pattern similar to that of ON UBCs, suggesting that a tonic NALCN current may be a general mechanism to promote regular firing. Additionally, we identify the presence of group III mGluRs in OFF UBCs and GABA-B receptors in ON UBCs and show that neither inhibit NALCN, demonstrating that different GPCRs engage distinct downstream ion channels. These findings identify a previously unrecognized form of glutamatergic synaptic inhibition that is selectively initiated by group II mGluRs, but not other Gi/o-coupled GPCRs, within the same neurons.

Head-fixed behavior in rodents is a foundational technique in systems neuroscience which enables use of sophisticated imaging techniques in combination with animal behavior. However, accessibility of head-fixed behavior techniques is limited. Animal training consumes a large amount of experimenter labor and commercial setups, when available, are largely inflexible and financially burdensome. Here, we present a low-cost, modular, and open-source hardware and software implementation for head-fixed rodent decision-making tasks. Our design lowers experimenter labor and enables large teams of researchers to participate in animal training with minimal experimenter error using a simple touchscreen GUI and automated training progression. We demonstrate the efficacy of the platform by training a cohort of animals in a two-choice probabilistic rapid-reversal task in which mice continuously update action choices based on recent reward history. The presented design lowers the barrier to entry for laboratories seeking to conduct head-fixed rodent behavior and provides modular solutions for developing custom rigs based on experimental demands.

Defining the boundaries of functional cortical areas is increasingly important for targeted electro-physiology, optical imaging, viral delivery, and circuit manipulation. Intrinsic optical signal imaging (IOSI) provides a rapid and minimally invasive approach for mapping stimulus-evoked cortical activity, but its implementation often requires laboratory-specific combinations of stimulus-generation hardware, experiment-control software, synchronization devices, and data-acquisition systems. These requirements limit accessibility and hinder the use of IOSI as a routine functional mapping tool. Here, we present the Arduino-Based Intrinsic Stimulation System (ABISS), an open-source platform that integrates auditory and visual stimulus generation, trial timing, and image-acquisition triggering into a single programmable device. ABISS generates auditory tone stimuli, VGA-based visual stimuli, and tightly synchronized camera-trigger pulses without requiring a dedicated experiment-control system. Stimulus protocols are also fully modifiable in firmware. Performance was evaluated in auditory and visual cortices of mice. Engineering validation demonstrated accurate stimulus generation and synchronization between stimulus delivery and camera triggering over extended recording sessions. Biological validation showed that ABISS output results in auditory and visual intrinsic signal maps comparable to those obtained using highly specialized or commercial platforms. Together, these findings demonstrate the utility of a low-cost open-source platform for experimental control of intrinsic optical signal imaging. By reducing the technical and financial barriers associated with routine intrinsic optical imaging, ABISS facilitates broader adoption of functional cortical mapping as a tool for improved cortical localization in neuroscience experiments. Significance StatementFunctional cortical mapping is an increasingly important element of neuroscience experimental design as anatomical coordinates alone are often insufficient for defining cortical boundaries in individual animals. Intrinsic optical signal imaging provides an effective solution but traditionally requires specialized hardware, commercial stimulus-generation systems, and laboratory-specific synchronization workflows. We developed ABISS, an inexpensive, open-source platform that integrates auditory and visual stimulus generation with synchronized camera triggering in a single programmable device. ABISS produces functional cortical maps comparable to those obtainable with commercial or specialized systems while substantially reducing hardware complexity and cost. By making intrinsic optical signal imaging more accessible, ABISS lowers the practical barriers for routine functional mapping of the brain and promotes adoption of this important neuroscience technique.

Unipolar brush cells (UBCs) are excitatory interneurons that have a characteristic dendritic brush that amplifies and extends incoming signals in the cerebellum. UBCs transform synaptic input through their ionotropic and metabotropic glutamate receptors. Differential regulation of receptor subunits is a critical developmental process, but how the expression of glutamatergic receptors changes in UBCs as they develop is unclear. NMDA-type glutamate receptors (NMDARs) are particularly important for development and plasticity. We examined the expression of NMDAR subunits during development and tested whether signaling through these receptors is necessary for the development of the elaborate dendritic structure and unusual synaptic function of UBCs. Whole-cell patch clamp recordings from UBCs in acute brain slices revealed tonic and synaptic NMDAR-mediated currents in early postnatal UBCs that decrease during development. RNAscope in situ hybridization revealed differential developmental regulation of GluN2C/D subunits. Cell-type specific constitutive NMDAR knockout had no apparent effect on dendritic brush development, but increased UBC number in adulthood, suggesting a role in programmed cell death. Both pharmacological blockade or genetic deletion of NMDARs produced a paradoxical increase in excitability, which was calcium dependent and was occluded by inhibition of calcium activated potassium channels. Thus, NMDA receptors are dispensable for migration and dendritic development but may be involved in cell death pathways. Their functional roles include synaptic signaling as well as providing a tonic calcium flux that dampens excitability in developing UBCs and may influence transformations of vestibular signals essential for smooth movements and balance.

Exposure to chemical cues released by predator or pathogen can evoke anxiety or fear responses in prey/host animals such as fight, flight or freeze both at behavioral and molecular levels. Freezing is a fundamental anxiety response when fighting or fleeing arent feasible. Despite the potential relevance of freezing as a stress-coping mechanism, its behavioral and molecular underpinnings are not understood yet. At molecular level danger cues are perceived by chemosensory receptors expressed in sensory neurons which may further regulate the animals behavioral responses(Ye et al., 2024){Citation}. 2-nonanone (2-NA) is one of the principal volatile organic compounds secreted by many pathogenic bacteria infecting Caenorhabditis elegans as well as humans and may signal danger to worms. Here, we show that olfactory exposure to threat-associated cue 2-NA induces a reversible fear-like freezing response characterized by immobility and halted feeding in C. elegans. With the application of in silico and behavioral approaches we showed that 2-NA is one of the ligands for an olfactory G-protein Coupled Receptor (GPCR) STR-211 and RNAi knockdown of the receptor leads to a defect in 2-NA induced avoidance behavior in worms. We next discovered that STR-211 is required for immediate behavioral changes in C. elegans during freezing response against 2-NA. The study proposes an environment relevant animal model to mimic human anxiety and fear-like behavior, along with the identification of one of the olfactory GPCRs mediating this behavior. The model may help in understanding the neuromolecular basis of freezing response in human anxiety, contributing towards treatment of mental health disorders.

Predictive coding frameworks propose that perception emerges from a continuous comparison of incoming sensory signals with internally generated predictions, with mismatches between the two computed as prediction errors. Disruptions to the balance between these top-down predictions and bottom-up sensory signals are theorized to contribute to sensory abnormalities in neuropsychiatric conditions like autism spectrum disorders. However, disambiguating bottom-up from top-down contributions to sensory perception remains a difficult challenge, particularly in animal models. Here we develop a probabilistic oddball detection task in which rats must track local statistics within a trial to detect a deviant stimulus, as well as global statistics across trials to anticipate when a deviant will occur. This design enables formation of experimentally specified internal models of deviant expectation that can be quantitatively derived from behavior and manipulated independently of local stimulus statistics. We used this task to characterize sensory predictive behavior in a Fmr1 KO rat model of Fragile X Syndrome, the most common monogenic cause of autism. Male Fmr1 KO rats detected deviant stimuli at wildtype levels but exhibited reduced anticipation of deviant occurrence based on cross-trial statistics and failed to adapt their behavior when these statistics changed. Computational modeling revealed that these behavioral deficits reflected imprecise and unstable internal predictive models skewed towards sensory immediacy. These findings provide evidence for disrupted predictive processing in Fragile X Syndrome, consistent with active inference accounts of autism, and highlight the utility of this probabilistic oddball task design for interrogating predictive coding and perceptual impairments in neuropsychiatric conditions.

EegFun.jl is an open-source package for electroencephalography (EEG) analysis implemented in the Julia programming language. EegFun.jl provides a flexible framework for EEG research, covering data import from standard file formats, filtering and re-referencing, Independent Component Analysis (ICA) for artifact detection/correction, epoch extraction, and ERP averaging and visualisation. The Julia language provides the readability of a high-level scripting environment together with execution speeds comparable to compiled code. EegFun.jl combines interactive data visualization with high-performance execution, making large-scale analyses both efficient and easy. Here, we provide a brief overview and introductory tutorial of the core stages of the EEG analysis workflow to illustrate the packages capabilities. The package is freely available under the MIT license.

The lateral habenula (LHb) shapes reward and aversion learning via projections to midbrain monoaminergic centers. Recent studies have demonstrated significant genetic, anatomical, and electrophysiological diversity within the LHb. However, it remains unclear how genetic or intrinsic electrophysiological characteristics relate to in vivo neuronal activity patterns. Additionally, there are few descriptions of transgenic mouse lines labeling specific LHb neuronal subtypes. Here we describe spatial gene expression patterns, electrophysiological characteristics, and projection targets for specific subpopulations of neurons in the LHb targeted via existing transgenic mouse lines. Furthermore, we demonstrate that two genetically defined subpopulations differentially respond to value, prediction errors, and directional movement during flexible, reward-guided behavior. These findings indicate that specific, genetically targetable, neuronal subpopulations in LHb may control discrete aspects of motivated behavior through parallel circuits targeting serotonergic and dopaminergic midbrain centers.

ObjectiveGlucagon-like peptide-1 (GLP-1), a peptide neurotransmitter in the brain, is synthesized from proglucagon, encoded by the glucagon gene (Gcg). Besides medullary GLP-1 neurons, Gcg-expressing neuron populations were identified in the olfactory bulb and basolateral amygdala. However, several lines of evidence suggest that additional Gcg neuron populations might exist. MethodsWe conducted a brain-wide mapping of Gcg-expressing cells by fluorescent in situ hybridization in C57BL/6J and FVB/Ant mice. Proglucagon and GLP-1 expression were studied with immunofluorescence. We characterized a Gcg-Cre;tdTomato mouse line and studied the expression of proglucagon-processing enzymes in Gcg-expressing neuron populations. We used adeno-associated virus-mediated tracing in Gcg-Cre mice to map the projections of hypothalamic Gcg neurons. ResultsGcg-expressing neuron populations were identified in the olfactory bulb, claustrum, piriform cortex, basolateral amygdala, posterior hippocampus, posterior hypothalamic nucleus (PH), periaqueductal gray/dorsal raphe, and dorsal nucleus of the lateral lemniscus. These neurons express lower Gcg mRNA levels than medullary GLP-1 neurons. Proglucagon and GLP-1-immunoreactivity (C-terminus) were detected in almost all Gcg-expressing neuron populations, along with the mRNAs for prohormone convertases 1/3 and 2, enzymes generating GLP-1 or glucagon, respectively. Fasting markedly increased Gcg mRNA, proglucagon and GLP-1 synthesis in the PH. PH Gcg neurons project densely to the ventral and intermediate lateral septum, preoptic region, ventrolateral preoptic nucleus, lateral hypothalamus and zona incerta, establishing close contacts with both GLP-1 receptor-positive and -negative neurons. ConclusionsProglucagon is expressed in 9 distinct neuron populations. Feeding status regulates GLP-1 synthesis in PH neurons that likely control feeding- or energy balance-related functions.

Interactions between melanin-concentrating hormone (MCH) neurons and oxytocin neurons are crucial for parental care. Whole-cell patch-clamp recordings demonstrated that MCH inhibits paraventricular hypothalamic nucleus (PVN)-oxytocin neurons through activation of barium-sensitive inwardly rectifying potassium channels, potentially G-protein coupled inwardly rectifying potassium channels, and pup-directed aggression was positively related to loss of MCH neurons. Our findings offer a glimpse into the neural mechanisms underlying the evolutionary regulation of offspring caregiving and abuse in males.

The rat gambling task (rGT) has been widely used to investigate the neural mechanisms underlying risky choice and motor impulsivity. Here, rats sample between four options (P1-P4) that vary in the size and probability of reward and time-out penalties. The optimal strategy is to avoid risky options that may yield higher per-trial gains, but deliver longer and more frequent time-outs. Previous reports suggest pairing wins with salient audiovisual cues increases risky decision making, but behavioural variation is high, and it is unclear whether motor impulsivity is also affected. Here we leveraged rGT data from over 750 rats to characterize behavioural performance across sex and cue condition. We compared different methods of classifying rats as optimal or risk-preferring, using either a unitary decision score variable or specific P-choice preference, and applied drift diffusion modeling (DDM) to explore whether divergent cognitive mechanisms underlie risky decision making across subgroups. We confirmed that risky choice is higher on the cued rGT, partly due to a greater proportion of risk-preferring rats, but also because net optimal decision-makers chose the risky options more often. Risk-preferring rats made more impulsive, premature responses regardless of cue condition, as did males. Optimal decision-makers made more premature responses when cues were present, such that premature response rates were higher overall on the cued rGT. DDM and response latency data suggest divergent cognitive processes underpinning risky decisions across sex. Wider decision boundaries were associated with both highly optimal and highly risky choice patterns, indicating risky choices are made deliberatively by highly risk-preferring individuals. Similar results were obtained regardless of classification method.

Excitatory synaptic plasticity within the nucleus accumbens (NAc) drives motivated behaviors, and dysregulation is implicated in several psychiatric disorders marked by impaired reward processing. The NAc integrates glutamatergic input, which conveys information about reward, context, and behavioral goals, with local GABAergic signaling that regulates excitatory transmission and medium spiny neuron (MSNs) output. However, little is known regarding GABA-dependent modulation of activity-dependent excitatory synaptic plasticity. Here, we investigated GABAB receptor (GABABR) regulation of plasticity at hippocampus (Hipp)-NAc synapses, at which plasticity is a key mediator of reward-related behaviors. Using whole-cell electrophysiological recordings in mouse brain slices, we found that pharmacological inhibition of GABABRs converts long-term potentiation (LTP) into long-term depression (LTD) selectively in females, identifying a sex-specific role for GABABRs in modulating long-term plasticity of Hipp-MSN synapses. This LTD required mGluR5 activation and estrogen receptor alpha (ER) in both D1- and D2-expressing MSN subtypes, while only D1-MSNs suggested that LTD was expressed presynaptically through a CB1 receptor-dependent mechanism. Notably, GABABR inhibition did not alter basal synaptic transmission, indicating a specific role for these receptors in gating plasticity beyond regulation of basal excitatory drive. Together, these findings identify a novel, sex-specific mechanism by which GABABRs control the direction of synaptic plasticity.

Glucagon is a key metabolic hormone regulating blood glucose and appetite, yet little is known about its actions within the brain. Here, we investigated its receptor (GCGR) localization in periventricular brain barrier interfaces in young rats using immunohistochemical and immunofluorescence approaches. GCGR was enriched in the proximal region of motile ependymal cilia lining the ventricles, as well as in tanycytic primary cilia and cytoplasmic extensions within the hypothalamus. Additional immunostaining was observed in ciliated cells of the subcommissural organ and, more heterogeneously, in choroid plexus epithelium and associated primary cilia, while other circumventricular organs lacked detectable GCGR. These findings identify brain cilia and tanycytes as previously unrecognized sites of glucagon receptor localization and suggest that glucagon signaling at brain barrier interfaces may contribute to integrating peripheral metabolic cues with central homeostatic circuits.

The lateral habenula (LHb) encodes aversive states and negative affect, positioning it as a candidate region for the negative reinforcement that drives alcohol withdrawal. However, little is known about how chronic ethanol exposure affects LHb neuronal function and glial biology during withdrawal. Here, we used chronic intermittent ethanol (CIE) vapor exposure, a well-established model of alcohol dependence that reliably produces somatic and affective signs of withdrawal, to examine LHb physiology and astrocytic markers during acute withdrawal in male and female rats. Whole-cell and cell-attached recordings revealed that withdrawal reduced evoked and spontaneous firing in LHb neurons, with rebound firing following a crossover pattern between males and females. Despite these excitability changes, the overall distribution of firing phenotypes was unchanged, suggesting a shift in gain rather than a reorganization of cell types. Immunofluorescence revealed increased Sox9+ and GFAP labeling in the LHb during withdrawal at the same time point when electrophysiology experiments uncovered impaired astrocytic regulation of glutamate clearance. Together, these findings reveal that withdrawal from chronic ethanol exposure produces neuronal and glial adaptations in the LHb, pointing to impaired glutamate regulation as a candidate mechanism relevant to the negative affective state of alcohol withdrawal. These findings position the LHb as a potential node linking astrocyte-neuron dynamics to withdrawal symptoms and relapse vulnerability in alcohol use disorder.