Behavioral Neuroscience publications

Optogenetic stimulation is widely used to establish causal links between neural activity, behavior, and sensory perception, yet animals may also perceive the neural stimulation itself, a phenomenon termed “optoception.” We hypothesized that cortical optogenetic stimulation would generate an artificial percept that could be distinguished from externally evoked sensations and characterized psychometrically in an operant task. We tested this hypothesis using mesoscale cortical photostimulation delivered by a 3 mm, 459 nm LED implanted over auditory cortex. Four mice expressing Channelrhodopsin-2 (ChR2) in excitatory neurons learned a head-fixed go/no-go task in which 20 Hz cortical photostimulation served as the target. ChR2-positive mice detected cortical photostimulation relative to LED-off catch trials, distinguished it from both an external LED matched in wavelength and pulse rate and from an acoustic noise matched in amplitude-modulation rate, and discriminated between 20- and 10-Hz cortical photostimulation. Reducing implanted-LED optical power initially lowered rate-discrimination sensitivity, which then increased across training sessions, demonstrating perceptual learning. In two mice tested with 11 randomly interleaved rates spanning 10-20 Hz, lick probability followed a saturating rate-dependent function. Two ChR2-negative littermates failed to acquire photostimulation-locked behavioral responding. Together, these findings show that mesoscale cortical optogenetic stimulation generates a graded, learnable artificial percept whose behavioral readout depends on photostimulation rate and optical power. This single-LED preparation provides a cost-efficient and wavelength-extensible platform for psychometric analysis of optoception. SIGNIFICANCE STATEMENT Optogenetic stimulation can alter sensory processing, but the neural perturbation itself may also become a perceptual cue. We show that mice detect mesoscale cortical photostimulation delivered by a 3 mm implanted LED, distinguish it from matched external light and sound, and discriminate differences in photostimulation rate. When implanted-LED optical power was reduced, discrimination sensitivity initially declined and then increased across training sessions, revealing perceptual learning of optoception. Thus, mesoscale cortical photostimulation generates a graded internal signal whose behavioral readout depends on stimulation rate, optical power, and experience. A single implanted LED provides a cost- efficient and wavelength-extensible assay for measuring optogenetic perception.

Energy homeostasis and motivated behaviours are tightly interconnected processes coordinated by peripheral metabolic signals and central reward circuits. Among these signals, circulating triglycerides (TG) have emerged as neuromodulators of mesolimbic dopamine functions and reward processing. However, whether TG directly regulate the activity of defined neuronal populations within the nucleus accumbens (NAc) during appetitive behaviours remains unknown. Here, we investigated how central TG availability shapes the in vivo activity of NAc dopamine D2 receptor-expressing spiny projection neurons (D2R-SPNs) across distinct nutritional and metabolic states. Using in vivo fiber photometry in Drd2 -Cre mice, we monitored D2R-SPN Ca 2+ dynamics during appetitive Pavlovian conditioning and refeeding. D2R-SPNs progressively developed robust responses to a reward-predictive conditioned stimulus (CS + ) over the course of learning, while their activity during reward consumption remained stable. Acute elevation of central TG levels through carotid infusion did not alter D2R-SPN activity or behavioural performance in lean chow-fed mice, irrespective of whether they were fed or food-restricted. In contrast, in mice exposed to a high-fat diet (HFD), central TG delivery suppressed cue-evoked D2R-SPN activity in food-restricted animals without affecting reward consumption or behavioural outputs. Likewise, TG significantly reduced refeeding-evoked D2R-SPN activation in fasted HFD-mice, while leaving novelty-induced neuronal responses unchanged. Together, these findings demonstrate that obesogenic conditions reveal a metabolic state-dependent sensitivity of accumbal D2R-SPNs to circulating lipids. This work identifies TG as context-dependent modulators of D2R-SPN function and uncovers a mechanism through which dietary history interacts with current metabolic state to reshape the neural encoding of reward-predictive cues and food-directed behaviours.

Individuals with fetal alcohol spectrum disorders exhibit impaired auditory processing and atypical auditory behaviors across the disorder's spectrum. Although low to moderate prenatal alcohol exposure (PAE) is a prevalent type of exposure, the developmental trajectory of auditory processing deficits resulting from this level of exposure remains unknown. To examine the effects of PAE in the auditory system, we utilized the maternal voluntary alcohol consumption paradigm to model chronic low to moderate PAE throughout gestation. We measured auditory brainstem responses (ABRs) in juvenile mice (postnatal day 16–19) and longitudinally across early adolescence (4–5 weeks), late adolescence (7–8 weeks), and young adulthood (12–14 weeks). ABR abnormalities were first observed in juvenile PAE mice. The effects of PAE on brainstem auditory processing were most prominent in early adolescence, largely dissipated in late adolescence, and showed a reemergence in early adulthood. PAE mice showed elevated ABR thresholds, prolonged wave latencies, and reduced wave amplitudes. Ratios of ABR peak 3 relative to the first ABR peak indicated that the auditory brainstem pathways were hyperactive in PAE mice. The amplitude ratio was found to be elevated from early adolescence to early adulthood, suggesting that PAE has a persistent effect on auditory processing. We found a significant correlation between the amplitude ratios in early adolescent PAE mice and dam ethanol consumption, which point toward dose‐dependent brainstem gain dysregulation. Our study shows multilevel auditory alterations highlighting the vulnerability of central auditory pathways to PAE and fills an important gap in understanding auditory processing deficits in a clinically relevant exposure model.

Tinnitus is one of the most common hearing disorders affecting one-third of Americans and is defined as the buzzing or ringing sound one perceives in one or both ears in the absence of an acoustic stimulus. One objective method for tinnitus screening in rodents is gap prepulse inhibition of the acoustic startle reflex (GPIAS), a reduction in the abrupt motor response elicited by an intense auditory stimulus following a silent gap in noise. Reduced inhibition by gaps embedded in narrow-band noise is hypothesized to reflect the primary tinnitus pitch, as the tinnitus “fills-in” the gap. However, Lobarinas et al. (2013) identified a critical limitation: after acoustic trauma or hearing loss, rodents often exhibit markedly diminished acoustic startle reflexes, creating a “floor effect” where further suppression becomes undetectable even if gap perception remains intact, leading to false-positive tinnitus screening results. To address this limitation, we utilized the CBA/CaJ mouse model to assess tactile airpuff modification efficacy and employed a machine learning algorithm to classify startle responses, achieving 98% accuracy in differentiating startles from non-startles. We induced unilateral conductive hearing loss via ear plugging and found enhanced gap detection ability, contrasting with false-positive tinnitus indicators observed in rats by Lobarinas and colleagues. We also pharmacologically induced tinnitus via sodium salicylate, revealing frequency-specific alterations in gap detection patterns. Our findings suggest that differences in data analysis methodology, specifically using a machine learning algorithm to filter non-startle responses, may explain species-specific differences between mouse and rat models and significantly improve GPIAS validity as a tinnitus screening assessment tool. Highlights • Gap-startle paradigm objectively screens for tinnitus in rodent models. • Machine learning classification achieved 98% accuracy in startle detection. • Enhanced analysis resolved floor effects that previously limited paradigm validity. • Species differences explained by improved data filtering methodology.

Many species display mating-related sleep suppression to maximize reproductive success, yet the underlying neural mechanisms in mammals remain unclear. Here, we report that male mice exhibit delayed sleep onset and reduced sleep duration in periods following successful mating, while females are unaffected. Single-cell transcriptomics identifies a group of sleep-promoting Rxfp1-expressing neurons in the preoptic area of hypothalamus (POA Rxfp1 neurons), and fiber photometry reveals selective inhibition of them during and after mating in male mice. Lifting this inhibition via chemogenetic activation reverses sleep suppression in mated males. Monosynaptic retrograde tracing from these POA Rxfp1 neurons identifies male-biased γ-aminobutyric acid–releasing inputs from the principal nucleus of the bed nucleus of the stria terminalis (BNSTpr). Notably, optogenetic activation of these neurons induces immediate wakefulness specifically in male mice, and BNSTpr → POA Rxfp1 neurons are hyperactive after mating. Together, these findings establish a BNSTpr → POA Rxfp1 circuit that integrates reproductive signals for male-specific sleep suppression in mice.

The lateral habenula (LHb) integrates cortical and basal forebrain (BF) input and is implicated in negative affective states, but its involvement in negative affect associated with cannabis withdrawal is unknown. Here, effects of withdrawal from the psychoactive cannabis constituent, Δ 9 -tetrahydrocannabinol (Δ 9 -THC), on fear conditioning (FC) and LHb function were measured in rats using calcium photometry and electrophysiology. FC-associated LHb calcium signals, freezing behavior, and LHb excitatory-inhibitory (E-I) ratios were increased during Δ 9 -THC withdrawal, and local GABA release was impaired, indicating disinhibition of LHb output neurons. GABA release was also impaired at optogenetically activated BF-LHb axons, and not from ventral tegmental area-LHb inputs. The results indicate that Δ 9 -THC withdrawal increases LHb excitability through disinhibition, contributing to increased fear of primary and conditioned aversive stimuli. Our findings implicate the LHb in cannabis withdrawal-associated negative affect and offer insight into the neural mechanisms of cannabis use disorder.

Neuronal variability is a fundamental feature of neuronal coding. In spiking activity, across-trial variance (ATV) normalized by mean spike count (i.e., the Fano factor) shows stimulus-induced quenching. ATV has also been studied in electro/magneto-encephalography (E/MEG) without normalization, revealing effects of stimulation and cognition. Here we show that outside of event-related potentials (ERPs), ATV for both EEG and local field potential (LFP) is nearly identical to intra-trial variance (ITV), which equals signal power. ATV–ITV correlation decreases during ERPs, proportional to how much the ERP explains total power. While EEG ATV shows post-stimulus quenching, LFP ATV does not, particularly in the gamma band, where power increases after stimulus onset. To provide an independent variability measure, we introduce CV(power), the coefficient of variation of signal power, as a mean-normalized metric. CV(power) is the inverse of the signal-to-noise ratio of power and thus related to decodability, offering a variability measure applicable to E/MEG and LFP.

Everyday decisions depend on associations between sensory stimuli, actions, and outcomes. The striatum supports these sensorimotor associations through dopamine-dependent plasticity. Recent work has characterized a local striatal microcircuit in which cholinergic interneurons (CINs) modulate dopamine release via activation of nicotinic receptors on dopamine axons. Here, we show that visual stimuli evoke dopamine in the dorsomedial striatum partly through this cholinergic mechanism. Using anatomical and functional methods to identify the pathways involved, we found that visual and auditory cortices lack connectivity with CINs and were unable to drive cholinergic-dependent dopamine release. Frontal regions, which were activated by visual stimuli, strongly recruited CINs, producing robust dopamine release both ex vivo and in vivo. These findings reveal a fundamental distinction between sensory and frontal corticostriatal inputs, demonstrating that only the latter can evoke cholinergic-dependent dopamine signals. This work establishes a framework for understanding how cortical circuits shape striatal dopamine to support reinforcement learning.

Despite the well-established theoretical and experimental foundations of dopamine-driven reinforcement learning, how the reward prediction error (RPE) teaching signal modifies specific cortical memory networks remains unclear. Neural oscillations are crucial for the temporal binding of activities across distributed cell ensembles. Here, we identify that mouse lateral entorhinal cortex layer 5 (LEC5) mediated intercortical γ-synchrony is a neural correlate of the RPE signal derived from dopamine neurons in the ventral tegmental area (VTADA). The VTADA-LEC5 circuit-based intercortical γ-synchrony facilitates both learning and memory retention, and at the single-cell level, entrains the activity of cortical latent Engrams. Human brain recordings also validate a role of γ-synchrony in the processing of prediction errors. These findings indicate that LEC5-mediated intercortical γ-synchrony functions as a reinforcement learning signal that facilitates the establishment of cortical memory networks.

Fragile X syndrome (FXS) is a neurodevelopmental disorder caused by CGG trinucleotide repeat expansion in the fragile X messenger ribonucleoprotein 1 (FMR1) gene and the resulting loss of fragile X messenger ribonucleoprotein (FMRP). Gene therapy using recombinant adeno-associated virus (AAV) to restore FMRP expression, particularly in the brain, is a promising therapeutic strategy targeting the underlying cause of FXS. We examined the impact of AAV serotype 9 (AAV9)-mediated expression of a brain-abundant human FMRP isoform (isoform 7) driven by a fragment of the human FMR1 promoter on circuit and behavioral dysfunctions in the male Fmr1 knockout (KO) mouse, FXS model. Following intracerebroventricular (i.c.v.) injection of AAV9-NG276 into neonatal KO mice at a low (1e11 vg/animal) or high (3e11 vg/animal) dose, we assessed cortical phenotypes using electroencephalography (EEG) recordings and behavioral testing. High-dose AAV9-NG276 normalized baseline gamma power, improved sound-evoked responses, and reduced background neural activity. Analysis of behavioral deficits in adult KO mice showed that high-dose neonatal AAV9-NG276 delivery normalized exploratory behaviors, social preference, and probabilistic reversal learning. Thus, early AAV-mediated delivery of human FMR1 isoform 7 ameliorates cortical dysfunction and behavioral deficits in a murine FXS model and suggests that widespread cortical biodistribution is required for therapeutic benefit.

Recent work shows that the brain’s arousal system remains active during sleep, with rhythmic locus coeruleus (LC) activity shaping sleep architecture and supporting memory consolidation. The LC releases norepinephrine (NE) in infraslow (~0.02 Hz) bouts that gate NREM sleep spindles. Here, we demonstrate that heart rate (HR) fluctuations during NREM are tightly phase-locked to these NE rhythms, identifying the LC as a key driver of very-low-frequency HR variability (VLF-HRV), an understudied autonomic signal. Using optogenetics, transient LC inhibition blunts HR slowing, whereas LC activation produces rapid HR acceleration, demonstrating a direct LC-HR relationship during sleep that is maintained across a defined range of LC activity levels but breaks down when LC activity becomes excessive. We further show that infraslow HR variability is a cross-species marker of spindle-dependent memory processing. In mice, the amplitude of HR decelerations during NREM correlates with spindle activity and subsequent memory performance. Remarkably, human sleepers show the same pattern: stronger VLF-HR fluctuations during NREM correspond to increased spindle expression and better overnight memory retention. These findings reveal a mechanistic pathway through which graded changes in LC activity, up to a critical level, modulates autonomic physiology during sleep and identify infraslow HR variability as a non-invasive marker of brainstem function and memory-promoting sleep. Because LC degeneration occurs early in neurodegenerative disease, sleep-derived HR metrics may provide a scalable indicator of emerging neuromodulatory dysfunction.

The ability to detect deviations from expected sensory input is fundamental for adaptive behavior. We recorded electrocorticographic activity from the auditory (AC) and prefrontal (PFC) cortices of behaving macaques during an auditory oddball task to probe the cortical dynamics of predictive processing. Repetition of standard stimuli evoked suppression and facilitation in AC and strong low-frequency (2 Hz) enhancement in PFC, accompanied by bidirectional delta-band GC-defined interactions indicative of a shared predictive state. Deviant stimuli triggered earlier AC responses followed by PFC activation and increased GC-defined directed interactions across theta, alpha, and conventional gamma bands. Behavioral engagement amplified both repetition-related and deviance-related ECoG responses, strengthening cortical network coordination. Together, these findings reveal behaviorally gated auditory–prefrontal dynamics that are consistent with hierarchical predictive-processing accounts, while also allowing for contributions from repetition-, novelty-, and salience-related mechanisms.

Cochlear damage triggers compensatory primary auditory cortex (A1) plasticity that amplifies responses to residual sensory inputs, thereby contributing to the restoration of both cortical responsiveness to sound and perceptual sound detection threshold. However, this adaptation can become maladaptive, producing neuronal hyperactivity that contributes to tinnitus and hyperacusis. The neuromodulatory mechanisms governing these adaptive and maladaptive changes remain unknown. Here, we demonstrate that noise-induced cochlear injury triggers bidirectional synaptic zinc signaling plasticity that potentiates activity in excitatory principal neurons and parvalbumin-expressing interneurons, while suppressing activity in somatostatin-expressing interneurons. These cell-type-specific effects of synaptic zinc plasticity contribute to restoring A1 responsiveness to sound and perceptual detection thresholds, while being necessary for neural hyperactivity. Together, our findings establish synaptic zinc as a pivotal neuromodulator that shapes both adaptive and maladaptive cortical plasticity and identify a promising therapeutic target for improving perceptual recovery after cochlear damage and mitigating tinnitus and hyperacusis.

In nature, animals learn to replace predisposed behaviors with new strategies, yet the neural constraints on these transitions are unclear. Using an ethological search task in mice, we reveal medial prefrontal cortical (mPFC) neural correlates of a predisposed win-stay strategy that decays as animals learn to follow a more reliable auditory cue. Auditory cortex (ACx) activity predicts correct trial-by-trial sound-guided search, even on day one of training. This prognostic coding strengthens with learning and emerges from suppressed spiking, most pronounced in neurons tuned laterally to the cue’s spectrum. Chemogenetic disruption reveals ACx contributions to improving performance. Unexpectedly, the global silencing of mPFC accelerates successful usage of sound-tracking, contrary to its canonical role in flexible or stimulus-dependent behavior. Instead, a decentralized multiexpert competition model best predicts behavior and causal perturbations. These findings suggest that mPFC implements a default strategy based on prior knowledge, which actively hinders the expression of more efficient strategies.

Animals defend protein intake strongly, yet how protein status shapes moment-to-moment reward signalling in mesolimbic circuits remains unclear. Here, we examined how dietary protein restriction shapes nucleus accumbens (NAc) core dopamine signalling during operant feeding in the home-cage. C57BL/6 mice expressing the GRAB DA sensor in NAc core performed 1 h fixed-ratio 1 (FR1) and progressive ratio (ProgRatio) sessions to earn grain or sucrose pellets across three dietary phases; an initial non-restricted phase (NR1), a protein-restricted phase (PR), and a return to the non-restricted diet (NR2). Home-cage food intake remained stable across phases, whereas bodyweight gain was markedly reduced during PR and partially recovered in NR2. Behaviourally, operant responding increased during PR under both FR1 and ProgRatio schedules, with the most robust enhancement observed for grain pellets. Fibre photometry revealed a more selective neural effect. During FR1, pellet delivery evoked a larger NAc dopamine response for grain than for sucrose specifically during PR, whereas no pellet-type difference was detected during NR1 or NR2. By contrast, under progressive ratio, dopamine responses at pellet delivery and pellet retrieval did not differ between pellet types in any dietary phase. Together, these findings show that protein restriction does not globally amplify reward-related behaviour or dopamine signalling, but instead selectively biases NAc dopamine encoding in a manner that depends on nutritional status of the animal, nutrient context, and task demands.

Schizophrenia (SCZ) is a genetically complex neuropsychiatric disorder in which rare loss-of-function mutations in the histone methyltransferase SETD1A confer substantial risk. Although SETD1A haploinsufficiency had been linked to morphological, synaptic and behavioral abnormalities in the prefrontal cortex, whether and how SETD1A coordinates transcriptional and functional programs across different brain regions remains unknown. Here, we delineate the brain region-specific effects of SETD1A-associated dysfunction using conditional Setd1a knockout mice. We find that the dorsal striatum (dStr) and mediodorsal thalamus (MD) exhibit distinct transcriptomic and neuronal alterations to those in the PFC, and show transcriptomic enrichment for other SCZ risk genes. Loss of Setd1a in the dStr or MD drives selective vulnerability in key behavioral assays, suggesting important roles for these brain regions in the etiology of SCZ. By screening 6 existing H3K4 demethylase inhibitors, we identify the LSD1 (KDM1A) inhibitor TAK-418 as a potent modulator capable of restoring H3K4me3 levels and gene expression, as well as rescuing synaptic and SCZ-like behavioral phenotypes in the Setd1a +/− mice. Thus, our work provides a mechanistic link between high-penetrance SETD1A variants and region-specific brain dysfunction, establishing a framework for connecting rare loss-of-function variation in chromatin regulators to multidimensional neuropsychiatric phenotypes.

Tinnitus involves peripheral auditory damage and aberrant central plasticity, with dysregulated BDNF signaling linking injury to compensation. Yet, direct evidence connecting BDNF/AKT/mTOR pathway activation to behavioral phenotypes is limited. This study examined BDNF/AKT/mTOR expression in the inferior colliculus (IC) of sodium salicylate (SS)-induced tinnitus rats and assessed therapeutic inhibition. Rats received intraperitoneal SS, showing decreased GPIAS ratios, elevated ABR thresholds, and upregulated BDNF/TrkB/AKT/mTOR phosphorylation in the IC-changes associated with tinnitus-like behavior. Bilateral IC microinjection of BDNF siRNA or systemic rapamycin revealed that siRNA suppressed BDNF/TrkB and ameliorated tinnitus without improving hearing, while rapamycin reduced mTOR phosphorylation and partially alleviated behavior. These results first demonstrate that BDNF/AKT/mTOR upregulation in the IC contributes to tinnitus in SS rats, and its inhibition improves behavioral manifestations without reversing peripheral hearing loss.

Social behavior varies considerably across mammalian species, yet the neural basis for these variations remains unclear. We compared the behavior of three commonly used laboratory rodent strains (C57BL/6J and CD1 mice and SD rats) in social preference and free interaction tasks. Animals carried chronically implanted electrodes in brain regions associated with social motivation. The three strains exhibited distinctly structured social behavior: SD rats showed the strongest social motivation, CD1 mice were most active, and C57BL/6J mice displayed the most restrained behavior. Electrophysiology revealed strain- and task-specific theta and gamma power and coherence. Strikingly, SD rats displayed low baseline coherence followed by robust induction during interactions, while C57BL/6J mice exhibited opposite tendencies. Machine learning models allowed accurate strain separation based solely on brain electrophysiology, with theta and gamma coherence between the prelimbic cortex and nucleus accumbens shell playing a key role in defining distinct neuronal signatures of strain-specific social strategies.

Sleep is critical for consolidating recent experiences into memories. A key mechanism underlying this process is hippocampal sharp-wave ripples (SWRs). Although SWR-dependent memory consolidation is often viewed as an "offline" process, sounds heard during sleep are processed by a highly active auditory system that projects to medial temporal lobe structures, providing a pathway by which sounds may modulate hippocampal activity. While processing salient sounds during sleep can be adaptive, whether ongoing processing of environmental sounds interferes with SWR-dependent memory consolidation remains unknown. To address this question, we recorded neural activity in the CA1 region of the hippocampus in sleeping rats and used a closed-loop system to deliver non-waking broadband noise (BBN) stimuli during or outside of SWRs. We found that BBN suppressed ripple power and reduced SWR rates. BBN delivered during SWRs (On-SWR) produced a greater reduction in ripple power than BBN delivered outside SWRs (Off-SWR). This suppression was accompanied by substantial changes in SWR-associated spiking. We next tested the influence of BBN on memory consolidation using a conditioned place preference paradigm. On-SWR BBN presentation during post-learning sleep abolished memory retention 24 h after learning while sparing memory immediately after sleep. By contrast, Off-SWR BBN weakened memory at both time points. Notably, On-SWR BBN induced a significantly larger impairment in memory 24 h after learning as compared with Off-SWR BBN. These findings suggest that exposure to noise during sleep disrupts hippocampal activity and impairs memory consolidation in a manner that depends on the timing of sounds relative to SWRs.