Biology subjects

Lovinger, D. M.

Publications and source records attributed to Lovinger, D. M..

At least 19 recordsLinked to original sources

bioRxiv2026

Split intein vectors permit oversize FLIM-FRET biosensor neuronal expression

Adeno-associated virus (AAV) packaging limits constrain the design, performance, and in vivo application of genetically encoded biosensors. We developed a split intein-mediated reconstitution strategy enabling modular delivery and reassembly of oversized fluorescence lifetime-based biosensors. Using this platform, we engineered an oversized cAMP sensor compatible with one-photon fluorescence lifetime measurements, enabling monitoring of intracellular signaling dynamics in distinct neuronal subtypes in freely behaving mice.

bioengineering↗

bioRxiv2026

External Globus Pallidus Arkypallidal Circuit Dynamics Gate Risk-Taking Behavior

Exploration allows animals to gather information and adapt to changing conditions. Yet, it also exposes them to potential threats, requiring neural systems that weigh uncertainty and regulate behavioral transitions between cautious and exploratory states. These computations are distributed across cortical and subcortical networks, including the basal ganglia, which integrate sensory, motivational, and contextual information to shape action-selection behaviors. Within this circuitry, the globus pallidus externa (GPe) occupies a central but underappreciated role. Once viewed as a relay between striatum and downstream nuclei, the GPe is gaining recognition as a dynamic regulator that integrates diverse inputs and exerts bidirectional control over motor and cognitive processes. Here, we examine arkypallidal NPAS1-expressing GPe (GPeNPAS1) neurons, which form preferential inhibitory projections to the striatal matrix. Chemogenetic manipulations and in vivo calcium measurement reveal that GPeNPAS1 activity modulates and encodes risk-taking behavior sequences, identifying a circuit mechanism by which the GPe can regulate adaptive decision-making in risky contexts.

neuroscience↗

bioRxiv2026

SqueakPose Studio: An end-to-end platform for pose estimation and real-time edge-AI deployment

Accurate pose estimation underpins quantitative analysis of behavior, yet many deep learning-based tracking tools remain optimized for offline workflows that rely on fragmented software pipelines, workstation-grade GPUs, or external middleware to enable real-time deployment. Here we present an integrated software-hardware ecosystem for pose estimation that spans dataset creation, model training, offline analysis, and real-time deployment on embedded edge-computing devices. SqueakPose Studio provides a software suite for whole-frame, deep learning-based pose estimation that unifies dataset creation, manual and model-assisted labeling, model training, validation, and large-scale offline inference. The system leverages modern object-detection architectures to enable efficient end-to-end training and inference without patch-based sampling or multi-stage postprocessing, and supports execution on CPUs, GPUs, and Apple Silicon. For experimental settings requiring continuous recording and synchronized data acquisition, SqueakView enables real-time model deployment, video capture, and sensor logging on embedded edge-computing hardware, while MouseHouse provides a compact, modular enclosure designed for home cage-based experiments that integrates embedded GPU compute, microcontroller-based timing, and peripheral I/O. A shared data format and deterministic timing architecture ensure consistency across offline analysis and real-time deployment. Together, SqueakPose Studio, SqueakView, and MouseHouse provide a unified platform for pose estimation that supports both conventional offline analysis and embedded, real-time experimentation, without reliance on workstation-grade hardware or external middleware.

neuroscience↗

bioRxiv2025

Peripheral alcohol metabolism dictates ethanol consumption and drinking microstructure in mice

BackgroundEthanol metabolism is intimately linked with the physiological and behavioral aspects of ethanol consumption. Ethanol is mainly oxidized by alcohol dehydrogenase (ADH) to acetaldehyde and further to acetate via aldehyde dehydrogenases (ALDHs). Understanding how ethanol and its metabolites work together to initiate and drive continued ethanol consumption is crucial for identifying interventions for alcohol use disorder (AUD). Therefore, the goal of our study was to determine how ADH1, which is mainly peripherally-expressed and metabolizes >90% of ingested ethanol, modulates ethanol metabolite distribution and downstream behaviors. MethodsEthanol consumption in drinking-in-the-dark (DID) and two-bottle choice (2BC) drinking paradigms, ethanol metabolite concentrations, and lickometry were assessed after ADH1 inhibition and/or in Adh1-knockout (Adh1 KO) mice. ResultsWe found that Adh1 KO mice of both sexes exhibited decreased ethanol consumption and preference compared to wild-type (WT) mice in DID and 2BC. ADH1 inhibitor fomepizole (4-MP) also significantly decreased normal and sweetened ethanol consumption in DID studies. Measurement of ethanol and its metabolites revealed that ethanol was increased at 1h but not 15 min, peripheral acetaldehyde was slightly decreased at both time points, and ethanol-induced increases in acetate were abolished after ethanol administration in Adh1 KO mice compared to controls. Similarly, ethanol accumulation as a function of consumption was 2-fold higher in Adh1 KO or 4-MP treated mice compared to controls. We then used lickometry to determine how this perturbation in ethanol metabolism affects drinking microstructure. Adh1 KO mice consume most of their ethanol in the first 30 min like WT mice but display altered temporal shifts in drinking behaviors and do not form normal bout structures, resulting in lower ethanol consumption. ConclusionsOur study demonstrates that ADH1-mediated ethanol metabolism is a key determinant of ethanol consumption, highlighting a fundamental knowledge gap around how ethanol and its metabolites drive ethanol consumption.

neuroscience↗

bioRxiv2023

Motor cortex somatostatin interneurons adaptively shape the structure of motor sequences

The brain can flexibly reorganize the structure of action sequence, or motor programs, to efficiently reach positive outcomes. These behavioral adaptations are primarily driven by reinforcement learning, leading to structural and kinematic modifications of consolidated motor programs. While the motor cortex is recognized as a crucial neural substrate for adaptive motor control and skill learning, the mechanisms by which cortical microcircuits actively fine-tune the timing and structure of action sequences, enabling organisms to adaptively maintain motor efficiency across varying task demands, remain unclear. Here, we found that the calcium activity of somatostatin (SST) interneurons (INs) in the primary motor cortex (M1) exhibits highly action-locked and synchronized calcium responses during the acquisition of a single lever-press task in freely moving mice. This neural representation contrasts with the sequential activation of pyramidal (PYR) neurons during the same task. After extended training with a consistent schedule and subsequent motor consolidation, M1 SST IN activity was no longer related to action execution. However, when the training schedule was progressively updated, leading mice to adapt their motor programs for more time-constrained, rapid action sequences, the action-related SST IN activity redistributed and did not decrease. Notably, this redistributed calcium activity of M1 SST INs correlated with structural modulation of ongoing action sequences. We identified two distinct neural activity patterns among non-overlapping SST IN populations: one encoding the initiation of action sequences and the other encoding trial-by-trial structural changes during the execution of complex action sequences. Moreover, inhibition of SST INs disrupted temporal structure of action sequences and decreased the efficiency of motor program execution. These findings highlight the unexpected role of M1 SST interneurons in actively refining motor programs into more efficient and task-specific structures. HIGHLIGHTSO_LIActivation of somatostatin (SST) interneurons in the primary motor cortex (M1) correlates with learning new motor actions and execution of complex motor programs. C_LIO_LIDistinct activity patterns of M1 SST interneurons actively encode the initiation and temporal structure of complex action sequences on a trial-by-trial basis C_LIO_LIInhibition of SST interneuron activity leads to inefficient execution of complex motor programs, with effects dependent on task specificity. C_LI

neuroscience↗

bioRxiv2023

Chronic alcohol induces subcircuit-specific striatonigral plasticity shifting action control to the sensorimotor striatum

While cortico-striatal circuit deficits contribute to Alcohol Use Disorder, the impact of alcohol on synaptic function in the basal ganglia output, the substantia nigra pars reticulata (SNr), remains unclear. Here, we found that the inputs from the dorsomedial (DMS) and dorsolateral striatum (DLS) differ in their presynaptic properties and target molecularly distinct subpopulations of SNr neurons. We also discovered that indirect pathway subthalamic (STN) inputs to the medial and lateral SNr have different presynaptic properties and that STN inputs are stronger in the lateral SNr. Chronic alcohol exposure (CIE) potentiated DLS inputs but did not affect the strength and presynaptic release properties of DMS and subthalamic inputs to SNr neurons. Chemogenetic inhibition of DLS direct pathway projection neurons impaired action performance in an operant conditioning task in CIE mice but not control mice. Overall, our work identifies a synaptic mechanism whereby chronic alcohol induces a gain of function for action control in direct pathway neurons in the dorsolateral striatum. TeaserChronic alcohol selectively potentiates DLS synaptic inputs to the SNr, enhancing their role in action control.

neuroscience↗

bioRxiv2023

A Statistical Framework for Analysis of Trial-Level Temporal Dynamics in Fiber Photometry Experiments

Fiber photometry has become a popular technique to measure neural activity in vivo, but common analysis strategies can reduce detection of effects because they condense within-trial signals into summary measures, and discard trial-level information by averaging across-trials. We propose a novel photometry statistical framework based on functional linear mixed modeling, which enables hypothesis testing of variable effects at every trial time-point, and uses trial-level signals without averaging. This makes it possible to compare the timing and magnitude of signals across conditions while accounting for between-animal differences. Our framework produces a series of plots that illustrate covariate effect estimates and statistical significance at each trial time-point. By exploiting signal autocorrelation, our methodology yields joint 95% confidence intervals that account for inspecting effects across the entire trial and improve the detection of event-related signal changes over common multiple comparisons correction strategies. We reanalyze data from a recent study proposing a theory for the role of mesolimbic dopamine in reward learning, and show the capability of our framework to reveal significant effects obscured by standard analysis approaches. For example, our method identifies two dopamine components with distinct temporal dynamics in response to reward delivery. In simulation experiments, our methodology yields improved statistical power over common analysis approaches. Finally, we provide an open-source package and analysis guide for applying our framework.

neuroscience↗

bioRxiv2023

Dopaminergic D2 receptor modulation of striatal cholinergic interneurons governs sequence learning

Learning action sequences is necessary for normal daily activities. Medium spiny neurons (MSNs) in the dorsal striatum (dStr) encode action sequences through changes in firing at the start and/or stop of action sequences or sustained changes in firing throughout the sequence. Acetylcholine (ACh), released from cholinergic interneurons (ChIs), regulates striatal function by modulating MSN and interneuron excitability, dopamine and glutamate release, and synaptic plasticity. Cholinergic neurons in dStr pause their tonic firing during the performance of learned action sequences. Activation of dopamine type-2 receptors (D2Rs) on ChIs is one mechanism of ChI pausing. In this study we show that deleting D2Rs from ChIs by crossing D2-floxed with ChAT-Cre mice (D2Flox-ChATCre), which inhibits dopamine-mediated ChI pausing and leads to deficits in an operant action sequence task and lower breakpoints in a progressive ratio task. These data suggest that D2Flox-ChATCre mice have reduced motivation to work for sucrose reward, but show no generalized motor skill deficits. D2Flox-ChATCre mice perform similarly to controls in a simple reversal learning task, indicating normal behavioral flexibility, a cognitive function associated with ChIs. In vivo electrophysiological recordings show that D2Flox-ChatCre mice have deficits in sequence encoding, with fewer dStr MSNs encoding entire action sequences compared to controls. Thus, ChI D2R deletion appears to impair a neural substrate of action chunking. Virally replacing D2Rs in dStr ChIs in adult mice improves action sequence learning, but not the lower breakpoints, further suggesting that D2Rs on ChIs in the dStr are critical for sequence learning, but not for driving the motivational aspects of the task. Significance statementThe role of striatal projection neurons in encoding action sequences has been extensively studied, and cholinergic interneurons play a central role in striatal physiology, but we do not yet understand how cholinergic interneurons contribute to action sequencing. Using a combination of mouse genetics, behavior, and in vivo electrophysiology this work shows that genetic deletion of D2 receptors from striatal cholinergic interneurons disrupts the learning, performance, and encoding of action sequences, without changing general locomotion or motor skill learning. Virally replacing D2 receptors specifically in dorsal striatal cholinergic interneurons is sufficient to rescue the sequence behavior. Our observations may be useful in understanding and treating movement disorders in which dopamine and acetylcholine are imbalanced.

neuroscience↗

bioRxiv2022

Ketone ester-enriched diet ameliorates motor and dopamine release deficits in MitoPark mice

BackgroundParkinsons disease is a progressive, neurodegenerative disease characterized by motor dysfunction and dopamine deficits. The MitoPark mouse recapitulates several facets of Parkinsons disease, including gradual development of motor deficits, which enables the study of potential therapeutic interventions. One therapeutic strategy involves decreasing the mitochondrial metabolic load by inducing ketosis and providing an alternative energy source for neurons, leading to decreased neuronal oxidative stress. ObjectiveWe assessed whether administration of a ketone ester-enriched diet would improve motor and dopamine release deficits in MitoPark mice. MethodsMotor function (rotarod and open field tests), dopamine release (fast-scan cyclic voltammetry), tissue dopamine levels (GC-MS), and dopamine neurons and axons (immunofluorescence) were assessed in MitoPark and control mice fed either the standard or ketone ester-enriched diets. ResultsWhen started on the ketone diet before motor dysfunction onset, MitoPark mice had preserved motor function relative to standard diet MitoPark mice. While the ketone ester enriched diet did not preserve dopamine neurons or striatal dopamine axons, dopamine release in ketone diet MitoPark mice was greater than standard diet MitoPark mice but less than control mice. In a follow up experiment, we began the ketone diet after motor dysfunction onset and observed a modest preservation of motor function in ketone diet MitoPark mice relative to standard diet MitoPark mice. ConclusionThe improvement in motor dysfunction indicates that a ketone ester enriched diet or ketone supplement may represent a promising adjunct treatment for Parkinsons disease.

neuroscience↗

bioRxiv2022

Distinct mechanisms of CB1 and GABAB receptor presynaptic modulation of striatal indirect pathway projections to mouse Globus Pallidus

Presynaptic modulation is a fundamental process regulating synaptic transmission. Striatal indirect pathway projections originate from A2A- expressing spiny projection neurons (iSPNs), targeting the globus pallidus external segment (GPe) and control the firing of the tonically active GPe neurons via GABA release. It is unclear if and how the presynaptic GPCRs, GABAB and CB1 receptors, modulate iSPN-GPe projections. Here we used an optogenetic platform to study presynaptic Ca2+ and GABAergic transmission at iSPN projections, using a genetic strategy to express the calcium sensor GCaMP6f or the excitatory channelrhodopsin (hChR2) on iSPNs. We found that P/Q-type calcium channels are the primary VGCC-subtype controlling presynaptic calcium and GABA release at iSPN-GPe projections. N-type and L-type VGCCs contribute to GABA release at iSPN-GPe synapses. GABAB receptor activation resulted in a reversible inhibition of presynaptic Ca2+ transients (PreCaTs) and an inhibition of GABAergic transmission at iSPN-GPe synapses. CB1 receptor activation did not inhibit PreCaTs while inhibiting GABAergic transmission at iSPN-GPe projections. CB1 effects on GABAergic transmission persisted in experiments where NaV and KV1 were blocked, indicating a VGCC- and KV1 independent presynaptic mechanism of action of CB1 receptors. Taken together, presynaptic modulation of iSPN-GPe projections by CB1 and GABAB receptors is mediated by distinct mechanisms. Key PointsP/Q-type are the predominant VGCC controlling presynaptic Ca2+ and GABA release on the striatal indirect pathway projections GABAB receptor modulate of iSPN-GPe projections via a VGCC- dependent mechanism CB1 receptors modulate iSPN-GPe projections via a VGCC- independent mechanism

neuroscience↗

bioRxiv2022

Gestational Ethanol Exposure Induces Sex-specific Striatal Acetylcholine and Dopamine Deficits

Fetal alcohol exposure has deleterious consequences on the cognitive abilities and motor skills of patients affected by Fetal Alcohol Spectrum Disorder (FASD) and in pre-clinical models of gestational ethanol exposure (GEE). Deficits in striatal cholinergic and dopamine function impair action learning and execution, yet the effects of GEE on striatal acetylcholine and dopamine release remain unexplored. Here, we report that ethanol (EtOH) exposure during the first ten postnatal days (GEEP0-P10), which mimics EtOH consumption during the last gestational trimester in humans, induces enduring sex-specific anatomical and motor learning deficits in female mice. These behavioral impairments were accompanied by increased evoked-dopamine levels in the dorsolateral striatum (DLS) of GEEP0-P10 female, but not male, mice. Further experiments revealed impaired striatal {beta}2-containing nicotinic acetylcholine receptor (nAChRs)-modulation of electrically evoked dopamine release. Using a genetically encoded acetylcholine sensor (GACh3.0), we found a reduced decay of acetylcholine transients in DLS of GEEP0-P10 females in the presence of an acetylcholinesterase inhibitor galantamine. Finally, we showed that this effect is associated with decreased excitability of striatal cholinergic interneurons (CINs), pointing to activity-dependent defects in acetylcholine release. Altogether, these data shed a new light on striatal deficits that might underlie cognitive and motor learning symptoms of patients affected by FASD.

neuroscience↗

bioRxiv2022

Sub-second striatal dopamine dynamics assessed by simultaneous fast-scan cyclic voltammetry and fluorescence biosensor

Dopamine produces neuromodulation throughout the basal ganglia, cortex and other brain regions, and is implicated in movement control, neural mechanisms of reward and actions of misused substances. The efferent projections of dopaminergic neurons with somata in the substantia nigra pars compacta and ventral tegmental area strongly innervate different striatal subregions. While much is known about the function of these neurons, there is a relative deficiency of information about in vivo dopamine dynamics in the nigrostriatal projections, especially those to the dorsolateral striatum (DLS). In past studies, subsecond dopamine changes were measured predominantly with fast-scan cyclic voltammetry (FSCV) both in brain slices and in vivo. However, traditional FSCV has limitations in discriminating among catecholamines, and cannot be used for simultaneous measurement of both slow and fast/phasic dopamine changes. In addition, FSCV has been most useful for measuring dopamine in the ventral striatum in vivo with less utility for measurement in dorsolateral striatum. The development of genetically encoded dopamine sensors has provided a new approach to measuring slow and fast dopamine dynamics both in brain slices and in vivo, raising the hope of more facile measurement of in vivo dopamine measurements, including in areas where measurement was previously difficult with FSCV. To this end, we first evaluated dLight photometry in brain slices with simultaneous FSCV. We found that both techniques yielded comparable findings. However, differences were noted in responses to dopamine transporter inhibitors, including cocaine. We then used in vivo fiber photometry with dLight to examine responses to cocaine in DLS and compared responses during Pavlovian conditioning in DLS to two other striatal subregions. These experiments show that dopamine increases are readily detectable in DLS and provide new information about dopamine transient kinetics and slowly developing signaling during conditioning. Overall, our findings indicate that dLight photometry is well suited to measuring dopamine dynamics in a striatal region of great interest where such measurements were difficult previously.

neuroscience↗

bioRxiv2021

Deficiency in endocannabinoid synthase DAGLB contributes to Parkinson's disease and dopaminergic neuron dysfunction

2-arachidonoyl-glycerol (2-AG), the most abundant endocannabinoid (eCB) in the brain, regulates diverse neural functions. However, whether 2-AG deficiency contributes to Parkinsons disease (PD) and nigral dopaminergic neurons (DANs) dysfunction is unclear. Diacylglycerol lipase and {beta} (DAGLA and DAGLB) mediate the biosynthesis of 2-AG. Using homozygosity mapping and whole-exome sequencing, we linked multiple homozygous loss-of-function mutations in DAGLB to a form of early-onset autosomal recessive PD. We then used RNA sequencing and fiber photometry with genetically encoded eCB sensors to demonstrate that DAGLB is the main 2-AG synthase in nigral DANs. Genetic knockdown of Daglb by CRISPR/Cas9 in mouse nigral DANs substantially reduces 2-AG levels in the substantia nigra (SN). The SN 2-AG levels are markedly correlated with the vigor of movement during the acquisition of motor skills, while Daglb-deficiency impairs motor learning. Conversely, pharmacological enhancement of 2-AG levels increases nigral DAN activity and dopamine release and improves motor learning. Together, we demonstrate that DAGLB-deficiency contributes to the etiopathogenesis of PD, reveal the importance of DAGLB-mediated 2-AG biosynthesis in nigral DANs in regulating neural activity and dopamine release, and provide preclinical evidence for the beneficial effects of 2-AG augmentation in PD treatment.

neuroscience↗

bioRxiv2021

Sex-dependent changes in murine striatal dopamine release, sleep, and behavior during spontaneous Δ-9-tetrahydrocannabinol abstinence

Withdrawal symptoms are observed upon cessation of cannabis use in humans. Although animal studies have examined withdrawal symptoms following exposure to delta-9-tetrahydrocannabinol (THC), difficulties in obtaining objective measures of spontaneous withdrawal using paradigms that mimic cessation of use in humans have slowed research. The neuromodulator dopamine (DA) is known to be affected by chronic THC treatment and plays a role in many behaviors related to human THC withdrawal symptoms. These symptoms include sleep disturbances that often drive relapse, and emotional behaviors, e.g., irritability and anhedonia. We examined THC withdrawal-induced changes in striatal DA release and the extent to which sleep disruption and behavioral maladaptation manifest during withdrawal in a mouse chronic cannabis exposure model. Using a THC treatment regimen known to produce tolerance we measured electrically elicited DA release in acute brain slices from different striatal subregions during early and late THC abstinence. Long-term polysomnographic recordings from mice were used to assess vigilance state and sleep architecture before, during, and after THC treatment. We additionally assessed how behaviors that model human withdrawal symptoms are altered by chronic THC treatment in early and late abstinence. We detected altered striatal DA release, sleep disturbances that mimic clinical observations, and behavioral maladaptation in mice following tolerance inducing THC treatment. Sex differences were observed in nearly all metrics. Altered striatal DA release, sleep and affect-related behaviors associated with spontaneous THC abstinence were more consistently observed in male mice. To our knowledge these findings provide the first model of directly translatable non-precipitated cannabis withdrawal symptoms, in particular, sleep disruption.

neuroscience↗

bioRxiv2020

2-Arachidonoylglycerol mobilization following brief synaptic stimulation in the dorsal lateral striatum requires glutamatergic and cholinergic neurotransmission

Several forms of endocannabinoid (eCB) signaling have been described in the dorsal lateral striatum (DLS), however most experimental protocols used to induce plasticity do not recapitulate the firing patterns of striatal-projecting pyramidal neurons in the cortex or firing patterns of striatal medium spiny neurons. Therefore, it is unclear if current models of eCB signaling in the DLS provide a reliable description of mechanisms engaged under physiological conditions. To address this uncertainty, we investigated mechanisms of eCB mobilization following brief synaptic stimulation that mimics in vivo patterns of neural activity in the DLS. To monitor eCB mobilization, the novel genetically encoded fluorescent eCB biosensor, GRABeCB2.0, was expressed in corticostriatal afferents of C57BL6J mice and evoked eCB transients were measured in the DLS using a brain slice photometry technique. We found that brief bouts of synaptic stimulation induce long lasting eCB transients. Inhibition of monoacylglycerol lipase, prolonged the duration of the eCB transient, while inhibition of diacylglycerol lipase inhibited the peak amplitude, suggesting that 2-AG is the predominate eCB generated following brief synaptic stimulation. 2-AG transients were robustly inhibited by AMPA and NMDA receptor antagonists, DNQX and DL-AP5 respectively. Additionally, the 2-AG transient was inhibited by the muscarinic M1 receptor (M1R) antagonist, VU 0255035, and augmented by the M1R positive allosteric modulator, VU 0486846, indicating that acetylcholine (ACh) release is required for efficient 2-AG production. The dopamine D2 receptor (D2R) agonist, quinpirole, inhibited the 2-AG transient. However, in slices from mice lacking D2Rs on cholinergic interneurons (CINs), quinpirole did not inhibit the 2-AG transient, demonstrating that D2Rs on CINs can modulate 2-AG production. The AMPA receptor or NMDA receptor antagonists, DNQX or DL-AP5 respectively, occluded 2-AG augmentation by VU 0486846 suggesting that converging glutamatergic and cholinergic signals are required for efficient 2-AG production following brief synaptic stimulation. Collectively, these data uncover unrecognized mechanisms underlying 2-AG mobilization in the DLS.

neuroscience↗

bioRxiv2020

A fluorescent sensor for spatiotemporally resolved endocannabinoid dynamics in vitro and in vivo

Endocannabinoids (eCBs) are retrograde neuromodulators that play an important role in a wide range of physiological processes; however, the release and in vivo dynamics of eCBs remain largely unknown, due in part to a lack of suitable probes capable of detecting eCBs with sufficient spatiotemporal resolution. Here, we developed a new eCB sensor called GRABeCB2.0. This genetically encoded sensor consists of the human CB1 cannabinoid receptor fused to circular-permutated EGFP, providing cell membrane trafficking, second-resolution kinetics, high specificity for eCBs, and a robust fluorescence response at physiological eCB concentrations. Using the GRABeCB2.0 sensor, we monitored evoked changes in eCB dynamics in both cultured neurons and acute brain slices. Interestingly, in cultured neurons we also observed spontaneous compartmental eCB transients that spanned a distance of approximately 11 m, suggesting constrained, localized eCB signaling. Moreover, by expressing GRABeCB2.0 in the mouse brain, we readily observed foot shock-elicited and running-triggered eCB transients in the basolateral amygdala and hippocampus, respectively. Lastly, we used GRABeCB2.0 in a mouse seizure model and observed a spreading wave of eCB release that followed a Ca2+ wave through the hippocampus. Thus, GRABeCB2.0 is a robust new probe for measuring the dynamics of eCB release under both physiological and pathological conditions.

neuroscience↗

bioRxiv2020

Stress and behavioral correlates in the head-fixed method

Head-fixation of awake rodents is a method that allows for sophisticated investigation and manipulation of neural circuits in vivo, that would otherwise be impossible in completely freely moving animals. However, while it is known that head-fixation induces stress, its scale and habituation dynamics remain unclear. Thus, interpretation of physiological and behavioral experiments would greatly benefit from the characterization of the stress response. In our study, we used the Mobile HomeCage system (Neurotar, Finland) where animals are head-fixed to an aluminum frame, but otherwise freely moving in an ultralight carbon container floating above an air-dispensing base. To better understand this experimental environment, we analyzed locomotion and stress during an extended habituation protocol. For 25 consecutive days, mice were prepared as they would be for recording experiments, i.e. head-fixed while standing on the air-lifted platform for 2 hours per day. Throughout 25 days, blood samples were taken periodically from the tail vein to measure variation in the stress-related hormone, corticosterone. These data were compared and contrasted with behavioral data including locomotion during the 2-hours head-fixed habituation sessions and several classical behavioral measurements known to be affected by chronic mild stress.

physiology↗

bioRxiv2019

Alcohol Effects on Globus Pallidus Connectivity: Role of Impulsivity and Binge Drinking

Despite the harm caused by binge drinking, the neural mechanisms leading to risky and disinhibited intoxication-related behaviors are not well understood. Evidence suggests that the globus pallidus externus (GPe), a substructure within the basal ganglia, participates in inhibitory control processes, as examined in stop-signaling tasks. In fact, studies in rodents have revealed that alcohol can change GPe activity by decreasing neuronal firing rates, suggesting that the GPe may have a central role in explaining impulsive behaviors and failures of inhibition that occur during binge drinking. In this study, twenty-five healthy volunteers underwent intravenous alcohol infusion to achieve a blood alcohol level of 0.08 g/dl, which is equivalent to a binge drinking episode. A resting state functional magnetic resonance imaging scan was collected prior to the infusion and at binge-level exposure. Functional connectivity analysis was used to investigate the association between alcohol-induced changes in GPe connectivity, drinking behaviors, and impulsivity traits. We found that individuals with greater number of drinks or heavy drinking days in the recent past had greater alcohol-induced deficits in GPe connectivity, particularly to the striatum. Our data also indicated an association between impulsivity and alcohol-induced deficits in GPe - frontal/precentral connectivity. Moreover, alcohol induced changes in GPe-amygdala circuitry suggested greater vulnerabilities to stress-related drinking in some individuals. Taken together, these findings suggest that alcohol may interact with impulsive personality traits and drinking patterns to drive alterations in GPe circuitry associated with behavioral inhibition, possibly indicating a neural mechanism by which binge drinking could lead to impulsive behaviors.

neuroscience↗