Electrophysiology publications

Context‐dependent sensory processing within the predictive coding framework relies on detecting mismatches between incoming stimuli and internal predictive models. Sensory deviants elicit prediction errors, seen as enhanced neural responses, that update these models and influence attention and behaviour. Although prediction errors have been widely observed across brain regions, the downstream processes remain poorly understood. In this study, we recorded electrocorticography in five urethane‐anaesthetised rats and identified cortical slow oscillations, characterised by spontaneous transitions between ‘Up’ and ‘Down’ states. Deviant stimuli in an auditory oddball paradigm evoked an initial positive prediction error, followed by a prolonged, all‐or‐nothing response which spread in a travelling wave across the cortex. Identified as putative evoked cortical Up states, these responses were not evoked by standards, omissions or a many‐standards control. Up states following deviants occurred more recently after a previous Up state when compared to spontaneous Up states. In preliminary data from an awake rat, long‐latency Up states were not present spontaneously or evoked. In a different rat, anaesthetic depth was key to spontaneous and evoked Up states, with more robust Up/Down states and more reliable triggering of Up states under deeper anaesthesia. These results suggest that sensory deviants may cause shifts in cortical state under anaesthesia, explaining the long‐latency mismatch response under anaesthesia and sleep.

Objectives: Following deafness, a cochlear implant (CI) can be used for the restoration of hearing. CI effectiveness relies on the condition of the auditory nerve, which typically degenerates after deafness. The nerve’s condition can be assessed with the electrically evoked compound action potential (eCAP), the whole-nerve response to an electric pulse. Changes in the eCAP following an increase in the inter-phase gap (IPG) of a biphasic pulse have been reported to be informative of neural survival. This IPG effect can be explained by the temporal separation of the hyperpolarizing phase from the depolarizing phase. We hypothesize that increasing the phase duration (PD) has a similar effect. Design: We investigated the PD effect in normal hearing and in ototoxically deafened guinea pigs (total N = 40) with various conditions of the auditory nerve by recording eCAPs to biphasic current pulses with alternating polarity and with varying PD and IPG. The eCAP data were obtained from both chronically and acutely implanted guinea pigs by using CI stimulation paradigms with a fixed charge and varying PD (30, 50, or 100 µs) and IPG (2.1 or 30 µs). We evaluated six eCAP measures: five derived from the amplitude growth function and the N 1 latency. We examined the relationships of PD and IPG effects with the survival of the spiral ganglion cells. Results: The PD effects were stronger for latency than IPG effects, but weaker for the other five evaluated eCAP measures. The PD effect did not correlate as well with neural survival as the IPG effect. The IPG effect decreased with increasing PD, and accordingly, the stronger correlations between the IPG effect and neural survival were found for a short PD. Notably, the latency increase with increasing PD was greater than 1, which indicates the second phase of the pulse significantly contributes to the eCAP. This second-phase contribution was larger for lower neural survival. Conclusions: The PD effect of latency has predictive power in assessing neural survival. When using other eCAP measures than latency, the best approach to assess neural survival is using the IPG effect with a short PD (around 30 µs).

Ionogels are promising for soft robotics, energy systems, and bioelectronic interfaces due to their high ionic conductivity and environmental stability. However, combining high strength and fracture resistance remains challenging. Here, we report composite ionogels with outstanding mechanical strength (~65.4 megapascal) and fracture energy (~607 kilojoules per square meter), capable of bearing more than 5000 times their own weight. These ionogels are developed by tailoring solvent-solute interactions to create a dense, hyperconnected nanofibrous polymer network. Solvent engineering regulates hydrogen bonding competition, facilitating the formation of robust interphase hydrogen bonds and a soft-hard biomimetic interface. Moreover, their antidrying, breathable nature enables multifunctional electrophysiological monitoring, making them ideal for wearable bioelectronics. Their ionic conductivity, drug-loading capacity, and antibacterial properties allow their use in advanced e-bandages for chronic wound healing. This generalizable strategy for ionogel design opens pathways toward strong, versatile, and biocompatible materials, particularly valuable for next-generation soft materials, wearable electronics, and tissue engineering.

Persistent maladaptive drug-context associations are a key component of relapse vulnerability and pose a major obstacle in treating opioid use disorder. Although the dorsal hippocampus (dHPC) is critical for contextual memory formation, the synaptic mechanisms by which opioids alter hippocampal circuits to sustain these associations remain unclear. We previously found that repeated context-paired morphine exposure impairs dHPC long-term potentiation (LTP) through enhanced activity of small-conductance calcium-activated potassium (SK2) channels. Here, we investigated the role of SK2 channels in morphine-context associative learning and memory by combining in vivo electrophysiology, molecular analyses, and behavioral pharmacology with the morphine-conditioned place preference (MorCPP) paradigm in male mice. Manipulation of SK2 channels with either SK2 blocker Lei-Dab7 or activator NS309 before MorCPP post-test dose-dependently reduced MorCPP preference, despite no changes observed in SK2 mRNA or protein expression following MorCPP post-test. Interestingly, SK2 blockade during conditioning instead facilitated morphine-context memory formation, suggesting a distinct SK2 role in drug-context memory acquisition versus retrieval. Electrophysiology data suggest that modulation of dHPC neuronal activity by SK2 channels could be a potential mechanism underlying these observations. Our findings demonstrate that dHPC SK2 channels regulate morphine-context memory formation and retrieval, identifying them as a candidate for mitigating context-driven drug behaviors.

The thalamocortical pathways exhibit neuroplasticity not only during the critical period but also in adulthood. In this study, we investigated how cholecystokinin (CCK) modulates age-dependent thalamocortical plasticity. Our findings demonstrated that CCK is expressed in thalamocortical neurons and that high-frequency stimulation (HFS) of the thalamocortical pathway triggers the release of CCK in auditory cortex (ACx), as detected by a CCK sensor. HFS of the medial geniculate body (MGB) induced thalamocortical long-term potentiation (LTP) in wild-type young adult mice. However, knockdown of CCK expression in MGB neurons or blockade of the CCK-B receptor (CCKBR) in the ACx abolished HFS-induced LTP. Interestingly, this LTP could not be elicited in juvenile (3-week-old) or aged mice (over 18-month-old) due to distinct mechanisms: the absence of CCKBR in juveniles and the inability to release CCK in aged mice. Notably, exogenous administration of CCK into the ACx rescued LTP in aged mice and significantly improved frequency discrimination. These findings highlight the potential of CCK as a therapeutic intervention for ameliorating neuroplasticity deficits associated with thalamocortical connectivity.

During wake, sound‐evoked and spontaneous neural activity of the auditory cortex evolves in distinct subspaces, whereas anesthesia disrupts sound responses and merges these spaces. To evaluate if similar modifications of sound representation geometry explain sensory disconnection during sleep, large neural populations of the mouse auditory cortex are followed across slow‐wave sleep and wakefulness. It is observed that sleep dampens sound responses but preserves the geometry of sound representations such that they remain separate from spontaneous activity. Moreover, response dampening is strongly coordinated across neurons and varied throughout sleep, spanning from fully preserved response patterns to population response failures on a fraction of sound presentations. These failures rarely occurred in wakefulness and are more common during high spindle‐band activity. Therefore, in sleep, the auditory system preserves sound feature selectivity up to the cortex for detailed acoustic surveillance but concurrently implements an intermittent gating mechanism leading to local sensory disconnections.

Anxiety disorders impose a substantial global burden, yet current pharmacotherapies often lack sustained efficacy and carry risks of dependence. Dexmedetomidine (Dex), a selective α2 adrenergic receptor agonist primarily used for sedation, demonstrates promising anxiolytic properties, but its long-term neural mechanisms remain unclear. Here, using a chronic restraint stress (CRS) mouse model, we reveal that tyrosine hydroxylase (TH)-positive neurons in the locus coeruleus (LC) are persistently hyperactivated during chronic anxiety states, driving elevated norepinephrine (NE) release in the medial prefrontal cortex (mPFC). A single low dose of Dex (50 µg/kg) produced anxiolytic effects lasting ≥3 days, evidenced by improved performance in open-field, light-dark box, and elevated plus maze tests. In vivo fiber photometry and chemogenetic approaches demonstrated that Dex suppresses LC-NE neuronal hyperactivity and normalizes mPFC NE levels. Crucially, neuron-specific knockdown of α2 receptors in the LC abolished Dex's anxiolytic effects, confirming their essential role. These findings elucidate a neural mechanism wherein Dex sustains anxiety relief via α2 receptor-mediated inhibition of the LC-NE-mPFC circuit, highlighting its potential as a novel long-acting therapeutic strategy for anxiety disorders.

As part of a deep brain stimulation (DBS) procedure, direct electrophysiological recordings from thalamic and basal ganglia circuits were obtained from a pediatric participant with secondary dystonia to examine the neural mechanisms of motor timing. The participant performed a two-phase repetitive timing task that began with synchronization to a series of externally presented auditory cues, followed by a continuation phase in which the participant maintained the movement rhythm without external guidance. Simultaneous recordings from stereoelectroencephalography (sEEG) leads implanted in the globus pallidus internus (GPi), subthalamic nucleus (STN), ventral oralis (Vo), centromedian nucleus (CM), and thalamic nuclei receiving projections from the cerebellum (ventral intermediate nucleus (VIM) and centrolateral nucleus (CL)) revealed behaviorally relevant neural dynamics. Local field potentials (LFPs) from recorded nuclei exhibited strong, time-locked responses during the synchronization phase, with reduced amplitudes during the continuation phase. Time-frequency analysis showed consistent power increases around the corresponding mean of the inter-response intervals (IRIs) in both behavioral output and neural signals, suggesting frequency-specific entrainment across circuits. These findings suggest of cerebellar-thalamic and basal ganglia contributions to temporal coordination.

Background CLN3 disease, also known as juvenile Batten disease, is a recessively inherited neurodevelopmental disorder caused by mutations in the CLN3 gene. It represents the most common form of Neuronal Ceroid Lipofuscinoses (NCLs), a group of lysosomal storage disorders that impair brain function. Clinical features include progressive vision loss, language impairment, and cognitive decline. The early onset of visual deficits complicates the neurological assessment of cognitive dysfunction, while the rarity of CLN3 cases limits the study of sex-specific disease trajectories in humans. Therefore, there is a critical need for objective, translational biomarkers to monitor disease progression and support therapeutic development in preclinical animal models. Methods Building on our recent studies in individuals with CLN3 disease, we developed a parallel experimental paradigm using high-density electroencephalography (EEG) in Cln3 knockout ( Cln3-/-) mice to longitudinally assess auditory neurophysiological changes. We applied a duration-based mismatch negativity (MMN) paradigm, similar to that used in our human studies, to evaluate automatic detection of auditory pattern changes in male and female mice between 3 and 9 months of age. Results Wild-type (WT) mice of both sexes showed robust and stable duration MMN responses across this age range. In contrast, Cln3-/- mice showed marked sex- and age-dependent deficits: female mutants displayed persistent MMN deficits, whereas male mutants exhibited early MMN abnormalities that unexpectedly improved with age. Auditory brainstem responses confirmed intact peripheral hearing in Cln3-/- mice, indicating a central origin for the observed abnormalities. Further analyses revealed that MMN impairments were driven by age- and sex-specific alterations in auditory evoked potentials to both standard and deviant stimuli. Conclusions These findings demonstrate sex- and age-dependent disruptions in central auditory processing in Cln3-/- mice and support auditory duration MMN as a sensitive, translational biomarker of brain dysfunction in CLN3 disease. This approach offers a functional, cross-species measure for tracking disease progression and evaluating therapeutic interventions in Batten disease.

Sensory issues are common in autism spectrum disorders (ASD) and can significantly affect daily living. The phenomena of gating and habituation of event-related potentials (ERPs) to repetitive stimuli have been suggested as potential biomarkers reflecting atypical sensory processing in ASD. Sensory hypersensitivity and anxiety are closely related in ASD, and habituation to emotionally evocative stimuli may serve as a more sensitive biomarker for sensory hypersensitivity symptoms. However, previous studies have primarily used tonal stimuli, and there has been little investigation into whether habituation to emotionally evocative sounds is impaired in ASD patients. In this study, we compared the degree of habituation of the P1-N1 peak-to-peak amplitude in response to repeated tones and fearful vocalizations between control and ASD groups. Contrary to expectations, no significant difference was observed for fearful vocalizations between the groups, while ASD patients showed significantly reduced habituation to tonal sounds in the left parieto-occipital region. Furthermore, we found a significant correlation between the degree of habituation to tonal sounds in the left parieto-occipital region and sensory hypersensitivity symptoms in ASD patients, and similar abnormalities in BTBR mice, an animal model of ASD. These results suggest that habituation to tonal sounds, rather than emotionally evocative stimuli, may serve as a translational biomarker reflecting sensory hypersensitivity symptoms.

Objective Transcranial current stimulation (tCS) is a promising technique to non-invasively modulate human brain activity. However, stimulation artifacts in EEG and MEG recordings severely hinder the study of its online effects. Approach Here, we introduce a new approach to account for these artifacts. The approach rests on two key ideas. First, we focus on interactions of tCS with intrinsic brain activity, which are absent for tCS artifacts. Second, rather than removing artifacts, we compare composite signals that share similar artifacts but potentially differ in the interaction of tCS with intrinsic brain activity. We follow a simple logic: if tCS does not interact with intrinsic brain activity, then neural activity during simultaneous sensory stimulation and tCS should equal the linear superposition of the neural effects of each applied alone. Any deviation from this prediction provides evidence for a neural interaction. Main results We tested this approach in a proof-of-principle MEG study, applying 10 Hz transcranial alternating current stimulation (tACS) during rest and during a 10 Hz visual flicker. We compared neural activity during simultaneous stimulation with that predicted by the linear superposition of flicker and tACS alone and found a phase-dependent interaction between tACS and flicker-evoked brain activity. Significance Our work establishes a novel approach to investigate online effects of tCS and suggests a state-dependent interaction of tACS with human brain activity.

Background: Optimizing deep brain stimulation (DBS) parameter settings requires postoperative adjustments through a time-consuming trial-and-error process. As such, researchers have been developing computational models to guide DBS programming. Despite growing interest in image-guided DBS technology, and recent adoption into clinical practice, the direct validation of the prediction accuracy remains limited. Objective: The objective of this study was to establish a comparative framework for validating the accuracy of various DBS computational modeling methodologies in predicting the activation of clinically relevant pathways using in vivo measurements from PD patients undergoing subthalamic (STN) DBS surgery. Methods: In this study, we compared the accuracy of six computational modeling variations for predicting the activation of the corticospinal/bulbar tract (CSBT) and cortico-subthalamic hyperdirect pathway (HDP) using very short- (<2 ms) and short-latency (2-4 ms) cortical evoked potentials (cEPs). We constructed the variations using three key factors: modeling method (Driving Force [DF] vs. Volume of Tissue Activated [VTA]), imaging space (native vs. normative), and anatomical representation (pathway vs. structure). The model performances were quantified using the coefficient of determination (R2) between the cEP amplitudes and percent pathway or structure activation. Results: We compared model accuracy for 11 PD patients. The DF-Native-Pathway model was the most accurate method for quantitatively predicting experimental subcortical pathway activations. Additionally, our analysis showed that using normative brain space significantly diminished the accuracy of model predictions. Conclusion: The choice of methodology should depend on the specific application and the required level of precision for the intended analysis. However, model parameters should be optimized to accurately predict known experimental activation measures.

Background: Millions of older adults have age-related hearing loss (ARHL), a disorder where potassium-secreting cells in the cochlea's lateral wall often degenerate. The degeneration reduces the force that drives ions into the sensory cells during sound stimulation, which is traditionally thought to explain the loss of hearing. Here we describe previously unknown mechanisms underlying this metabolic form of ARHL. Methods: Fluorescence spectroscopy and live-cell imaging was used in Dunkin-Hartley guinea pigs of either sex to investigate the effects of lateral wall dysfunction on the hearing organ and its accessory structures. Critical findings were confirmed by studying samples of human temporal bones. Findings: Lateral wall dysfunction caused calcium levels in the inner ear to decline, a change that was most pronounced in the tectorial membrane, an accessory structure crucial for transmitting acoustic stimuli to sensory cell stereocilia. This calcium depletion deprived the sensory cells of an essential ion. Additionally, the tectorial membrane detached from stereocilia, significantly impairing their ability to respond to sound. Sound-evoked responses were further decreased by sustained contraction of the entire hearing organ. Interpretation: These findings establish the tectorial membrane as a key factor in metabolic ARHL, which needs to be considered when developing better diagnostic tools or treatments. Funding: Swedish Research Council grants 2017-06092 and 2022-00548, Swedish Brain foundation grant FO2023-0171 and US National Institutes of Health grant R01DC000141-44.

We recorded responses of single neurons in core and belt auditory cortical fields in alert macaque monkeys to frequency-modulated sounds, key feature of many natural sounds, including speech and vocalizations. We found that the timing of neural activity, rather than its magnitude, explained decoding accuracy in all cortical areas, and we did not observe compelling evidence of improved discriminability in core or belt fields beyond that seen in the primary auditory cortex.

Purpose: We aim to develop a robust method to improve the estimation accuracy of motor-evoked potential (MEP) recruitment curves (RCs), including motor threshold, in small-sample settings which typically involve fewer than 40 stimuli. Methods: We present a hierarchical Bayesian (HB) method to model MEP size as a rectified-logistic function of stimulation intensity. This method is designed to account for small samples, handle outliers without discarding data, quantify estimation uncertainty, and simulate synthetic data that closely matches real observations, useful for optimizing experimental design. We validate its performance on transcranial magnetic stimulation (TMS), epidural spinal cord stimulation (SCS), and synthetic TMS datasets, and provide an open-source library for Python, called hbMEP, for diverse applications. Results: The rectified-logistic outperformed sigmoidal functions in predictive accuracy on TMS and SCS datasets, as demonstrated through cross-validation. A mixture extension of the HB model improved robustness to outliers by further increasing its predictive accuracy. The HB model reduced threshold estimation error by up to 70% on sparse synthetic TMS data compared to non-hierarchical models. Bayesian estimation with the HB model reduced the required number of participants by at least 23% to detect a shift in threshold with 80% power, compared to frequentist testing. Empirical results on human SCS data further validated its applicability to real data. Conclusion: By improving accuracy on sparse data, our method minimizes the number of stimuli needed to probe each individual's neuromuscular parameters across multiple muscles simultaneously, thereby reducing session duration and the risk of inadvertent neuromodulation. Our approach provides a more statistically powerful and conclusive framework for inferring changes in threshold, and therefore corticospinal excitability. The hbMEP library streamlines and unifies the analysis of RCs across stimulation modalities and experimental paradigms.

To generate movements, the brain must combine information about movement goal and body posture. The motor cortex (primary motor cortex [M1]) is a key node for the convergence of these information streams. How are posture and goal signals organized within M1's activity to permit the flexible generation of movement commands? To answer this question, we recorded M1 activity while monkeys performed a variety of tasks with the forearm in a range of postures. We found that posture- and goal-related components of neural population activity were separable and resided in nearly orthogonal subspaces. The posture subspace was stable across tasks. Within each task, neural trajectories for each goal had similar shapes across postures. Our results reveal a simpler organization of posture signals in M1 than previously recognized. The compartmentalization of posture and goal signals might allow the two to be flexibly combined in the service of our broad repertoire of actions.

Impulsivity is a core pathological feature of various psychiatric disorders including obsessive‐compulsive disorder, attention‐deficit/hyperactivity disorder, and schizophrenia, which is conceptualized as dysregulated motivational and inhibitory processes. However, the underlying neural mechanism is poorly known. Using an olfactory cued Go/No‐Go task, this work finds increased false alarm rate, shortened licking onset latency, elevated licking frequency and reduced inter‐trial consistency in mice treated by the NMDAR antagonist (MK‐801). Fiber optic recordings reveal MK‐801 enhanced cue‐evoked neuronal responses in the olfactory bulb (OB), orbitofrontal cortex (OFC), ventral tegmental area (VTA), and nucleus accumbens (NAc), while reducing reward‐predictive cue selectivity and increasing NAc dopamine release. Additionally, in vivo electrophysiological recordings demonstrate that theta oscillation power in the NAc and its coherence with OB, OFC, and VTA are also amplified. MK‐801 treatment enhances the correlation between firing rates of NAc neurons and cue, decreases the association with reward, strengthens the correlation with licking and increases the probability of firing peak preceding lick onset. Furthermore, this work confirms that the application of the trace amine‐associated receptor 1 agonist SEP‐363856 could correct the abnormal responses of NAc neurons and behavioral deficits. These findings elucidate the neural basis of impulsivity and support the potential therapeutic effect of SEP.

Early studies on orientation selectivity in the visual cortex have suggested that sensory systems generate new feature representations at specific processing stages. Many observations challenge this view, but in the absence of systematic, multistage measurements, the logic of how feature tuning emerges remains elusive. Here, using a generic approach based on representational similarity analysis with a noise-corrected population metric, we demonstrate in the mouse auditory system that feature representations evolve gradually with, in some cases, major, feature-specific improvements at particular stages. We observe that single frequency tuning is already fully developed in the cochlear nucleus, the first stage of processing, while tuning to higher-order features improves up to the auditory cortex, with major steps in the inferior colliculus for amplitude modulation frequency or noise bandwidth tuning and in the cortex for frequency modulation direction and for complex sound identity or direction. Moreover, we observe that intensity tuning is established in a feature-dependent manner, earlier for pure frequencies than for more complex sounds. This indicates that auditory feature computations are a mix of stepwise and gradual processes which together contribute to decorrelate sound representations.

We describe here a mode of activity of neurons in auditory cortex of freely moving rats consisting of large, slow firing rate modulations, which were not driven by sounds, were larger than the sound evoked responses, and were locked to specific time points during the task, similar to responses of hippocampal time-sensitive neurons. This activity mode had important functional consequences to sound processing during task performance. We show that the slow firing rate modulations caused the ongoing activity just before sound presentations to be higher during task performance than during passive listening. Concurrently, during task performance, the responses to target stimuli were weaker but more informative about the task-relevant sounds. In a model, higher ongoing activity caused more synaptic depression of the cortico-cortical synapses, reducing the tendency of the network to produce population spikes and resulting in weaker but more informative responses to sounds.

Autism is an early‐onset neurodevelopmental disorder characterized by restricted, repetitive behaviors and atypical patterns of social communication and interaction. A considerable proportion of autistic individuals experience divergent auditory perception, which can interfere with their ability to navigate everyday sound environments. Auditory brainstem responses are electrophysiological potentials elicited by auditory stimuli that evaluate neural activity along the auditory nerve and brainstem. Importantly, the auditory brainstem response varies by sex, with females typically showing higher amplitudes and shorter latencies than males. This sex‐specific neurophysiological profile is especially relevant in autism research, where the male‐to‐female diagnosis ratio is approximately 3:1. Thus, exploring the neurobiological mechanisms underlying sex‐specific variations in autistic traits is essential. Furthermore, autism sensory profiles may vary based on the independent and mutual effects of environmental and genetic factors. To deepen this understanding, we examined auditory brainstem responses in two rat models of autism: the GRIN2B rare mutation model and the prenatal valproic acid induction model, alongside control animals. We assessed peak amplitudes and latencies (Waves I through V), inter‐peak intervals (I–III, I–V, and III–V), and amplitude ratios (III:I, V:I, and V:III). Female rats generally exhibited greater amplitudes and longer latencies across waveforms. Regarding rat models, control animals consistently showed larger amplitudes and shorter latencies compared to autism‐like models. Exploratory analyses further suggested pairwise interactions between sex and rat model, indicating modulation of auditory phenotypes linked to autism. Thus, our findings reveal key insights into the effects of sex and rat model, as well as their interactions.