Electrophysiology publications

Difficulties understanding speech in noise remain a common complaint even among listeners with normal hearing sensitivity, highlighting the need for objective, more effective measures of real-world listening. The goal of this study was to validate the use of a novel, chirped-speech (Cheech) stimulus—continuous, naturally-spoken speech fused with chirps designed to elicit robust auditory evoked potentials—to characterize relationships between speech recognition, listening effort, and auditory neural encoding. Twenty-five normal-hearing adults completed a sentence-recognition task using both original (unmodified) and Cheech-modified AzBio sentence lists in quiet, +3 dB, and −3 dB signal-to-noise ratio (SNR) conditions while neural responses from the brainstem through cortex were recorded simultaneously. Speech recognition remained near ceiling in quiet but declined with decreasing SNR for both original and Cheech stimuli. Compared with clean speech, Cheech-modified speech showed slightly poorer recognition performance as SNR decreased and somewhat higher perceived effort overall. Yet, Cheech was highly effective at evoking auditory responses from the brainstem (auditory brainstem response, ABR) through the cortex (including middle- and late-latency responses, MLR and LLR) even with <5 minutes listening time per condition. Neural responses showed reduced amplitudes and prolonged latencies as SNR decreased. In general, ABR latencies and wave I amplitudes were associated with speech-in-noise recognition performance, whereas cortical responses (MLR Na, Nb, and LLR P1) were associated with subjective workload. These findings show that Cheech-modified speech preserves intelligibility while yielding robust, multilevel neural recordings during sentence perception, offering a promising approach to examine hierarchical auditory processing under ecologically relevant speech-in-noise conditions.

Mammalian cochlear hair cells convert acoustic stimuli into electrical signals, which are relayed to the central auditory pathway via auditory neurons. Progressive loss of hair cells and their synapses is a characteristic of age‐related hearing loss (ARHL), but the underlying mechanisms remain poorly understood. In this study, we tested the hypothesis that hair cell physiological properties change with age in CBA/CaJ mice, a strain known for its slow ARHL progression. We found that hair cell size began to decrease from 10 months of age, well before detectable increase in hearing thresholds from auditory brainstem responses. This structural change was associated with a significant decrease in the size of the basolateral membrane current, in particular that carried by the large conductance calcium‐activated potassium (BK) channel currents ( I K,f ) in the apical inner hair cells (IHCs). However, the size of the mechanoelectrical transducer (MET) current measured in the IHCs remained unaffected at least up to 22 months of age. Our results provide clear evidence of an early change in the physiological properties of apical IHCs with age, which precedes measurable hearing loss, suggesting that these cellular deficits might define a distinct pathological route in the CBA/CaJ mice.

Understanding the molecular basis of hair cell function is essential for elucidating inner ear physiology and developing therapies for auditory–vestibular disorders. Here, we identify acyl-CoA binding domain-containing 7 ( Acbd7 ) as a hair cell-specific gene critical for sensory maintenance. Single-cell transcriptomics of mouse cochlear organoids revealed Acbd7 as a top hair cell-enriched transcript, with its spatiotemporal expression confirmed from embryonic development through adulthood in both auditory and vestibular hair cells. Acbd7 ‑deficient mice exhibited pronounced hair cell degeneration, characterized by synaptic defects and diminished calcium currents in inner hair cells and loss of outer hair cells. Transcriptomic and proteomic analyses linked Acbd7 to the regulation of Ca 2+ signaling and fatty acid metabolism pathways. Our findings establish Acbd7 as a critical regulator of Ca 2+ homeostasis and functional integrity in hair cells, thereby elucidating a key mechanism by which a fatty acid metabolism factor sustains hair cell function and providing potential therapeutic targets for inner ear disorders.

The detection of unexpected sounds, or auditory deviance detection, is thought to be achieved by comparing prediction signals and sensory inputs in the auditory cortex. This process is markedly impaired in patients with schizophrenia. However, the local circuit properties underlying deviance detection, together with their dysfunction in schizophrenia-related conditions, remain poorly understood. We used two-photon calcium imaging to monitor the population activity of cortical neurons during auditory deviance detection. The deviance-detecting component was predominant in layer 2/3 neurons of the higher-order auditory cortex. The deviance-detecting cells were spatially clustered, exhibited robust synchronization, and constitutively expressed immediate-early genes. In the Del(1.5 megabase)/+ mouse model of 22q11.2 deletion syndrome, a model of schizophrenia, deviance-detecting activity in the upper-layer network was disrupted, accompanied by dysregulated gene expression and selective loss of dendritic spines in immediate-early gene–positive neurons. Our findings support the hypothesis that ensemble activation of this neuronal subpopulation amplifies unexpected inputs, driving error signals that propagate to higher-order cortical areas.

Introduction Sensory processing depends on interactions between neural circuits that convey and regulate information across cortical and subcortical networks. Classical frameworks distinguish driving inputs, which transmit sensory content via suprathreshold activation, from modulatory inputs, which alter neuronal excitability without directly eliciting spiking. However, physiological signatures of these circuit types that generalize widely across distributed brain regions remain unclear. Methods We functionally differentiated driving and modulatory circuits in the awake macaque brain by jointly quantifying suprathreshold multiunit activity (MUA) and oscillatory phase coherence (inter-trial coherence, ITC) across eight cortical and thalamic structures during auditory, visual, and eye-movement conditions. Results Preferred sensory stimuli elicited broadband ITC increases accompanied by robust MUA, yielding relatively uniform spectral distributions across adjacent frequency bands, consistent with driving inputs. In contrast, non-preferred sensory and eye-movement related events produced narrowband, frequency-specific ITC modulation without concurrent firing, characterized by dominant peaks at stimulation or event rates, consistent with modulatory inputs. These two response types were observed within individual regions, revealing two separable modes of neural activity. Discussion This narrowband ITC modulation is indicative of coordinated phase alignment, capable of dynamically regulating information transfer mediated by driving inputs across thalamocortical circuits. These findings identify distinct spectrotemporal signatures of driving and modulatory circuit properties across cortical and thalamic levels and demonstrate that subthreshold oscillatory modulation is a widespread phenomenon reflecting cross-modal and saccadic-related influences on neural excitability.

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.

Brain activity consists of neural signals dynamically coordinated across spatial and temporal scales. To sample distributed brain-wide activity, we combine chronically implanted ultra-flexible electrodes for subcortical recordings with simultaneous two-photon calcium imaging in mouse neocortex. Flexible electrodes preserve optical access even at steep insertion angles and enable weeks-long single-neuron tracking. With these combined recordings, we demonstrate how subcortical-cortical coupling is modulated across slow brain states and around fast ripple events.

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.

Brain function relies on coordinated activity across spatial and temporal scales. Single neurons integrate local and long-range connectivity and reflect activity across brain-wide networks. Understanding integrated brain function requires tools capable of recording from anatomically connected populations in distributed brain areas to bridge local and global dynamics. Here, we present high-density, micro-electrocorticography arrays that facilitate multi-scale studies of brain activity. The hybrid arrays integrate the desirable features of silicone elastomers and polyimide films: silicone provides optical transparency and permits repeated penetration with intracortical arrays, while polyimide enables fine photolithographic feature definition. This combination facilitates high-throughput functional mapping to identify targets and insertion of intracortical arrays for dense local sampling. We demonstrate functional mapping in rats, cats, and marmosets, showing how functional maps guide multi-area laminar recordings. Finally, we demonstrate local and feedforward optogenetic stimulation to investigate cortico-cortical interactions. These capabilities establish the hybrid μECoG as a compelling tool for systems neuroscience.

How does the human brain detect and respond to disruptions in breathing? While animal studies have advanced our understanding of respiratory control, breathing distress in humans remains difficult to treat. It often arises not only from pulmonary lesions or brainstem dysfunction but also from how higher brain regions interpret breathing signals shaped by emotion and experience. We recorded intracranial cortical activity in neurosurgical patients during an interoceptive task involving transient breathing challenges. Conscious detection of these disruptions was predicted by early responses in the anterior insula, which routed signals to orbitofrontal and premotor cortices for appraisal and compensation. These cortical regions preferentially encoded inspiratory effort or airflow, revealing signal-specific processing that echoes functional segregation in brainstem centers. The present findings identify a dynamic insular-frontal circuit for sensing and adapting to respiratory challenges, offering insight into the neural basis of breathing awareness and its disruption in disease.

Hippocampus, a key hub of neural circuits for spatial learning and memory, has attracted tremendous studies. Neuronal information processing in the hippocampus can be regulated by many types of neuropeptides. Cholecystokinin ( Cck ), the most abundant neuropeptide in the central nervous system that is involved in modulating neuronal functions, such as cognition, memory, and neuroplasticity, is widely expressed in the hippocampus. However, whether local excitatory Cck neurons modulate hippocampal function is still unclear. In this study, we showed that CA1 pyramidal neurons receive projections from excitatory Cck neurons in area CA3 (CA3 Cck neurons) in adult mice. Subsequently, activation of the CA1-projecting CA3 Cck neurons triggers the release of Cck . Then, we found that the activity of CA3 Cck -CA1 neurons supports the hippocampal-dependent tasks. Furthermore, inhibition of CA3 Cck -CA1 projections or knockdown of CA3 Cck gene expression markedly impaired the behavioral tasks and neuroplasticity. Taken together, these results may add to a better understanding of how neuromodulators regulate the neural functions in the central nervous system.

Spontaneous calcium (Ca 2+ ) waves play a critical role as internal stimuli in the early developing auditory system before the onset of sensory experiences. However, neither the spatiotemporal control of spontaneous Ca 2+ waves nor their impacts on auditory development are well understood. Here we report that a lateral array of inner supporting cells (ISCs) beneath the inner hair cells displays a spontaneous ultra‐long, ultra‐fast, transient Ca 2+ flash, termed “Ca 2+ lightning”, which triggers a series of simultaneous bursts of Ca 2+ waves in the whole cochlea, before the ear canal opening. The Ca 2+ lightning margins the cochlear ISCs at different developmental stages that correspondingly exhibit different Ca 2+ activities. Triggered by an ATP‐induced high‐level Ca 2+ wave, the Ca 2+ lightning rapidly propagates laterally into neighboring ISCs through the intricate interplay of the T‐type Ca 2+ channel, Anoctamin 1 (Ano1) Ca 2+ ‐activated Cl − channel and Connexin 26 (Cx26). The genetic deletion of Cav3.2, Ano1, or Cx26 abrogates Ca 2+ lightning flashes and dysregulates cell development and functions in peripheral cochleae. We propose that cochlear Ca 2+ lightning flashes orderly with Ca 2+ waves together orchestrate the spatiotemporal maturation processes of the peripheral auditory system before the onset of hearing.

Neuromodulation is widely employed to enhance neural activity and restore impaired circuitry, yet current methods suffer from invasiveness, limited depth, or poor spatial resolution. Temporal interference stimulation (TIS) has emerged as a non-invasive approach to modulate deep brain regions via interference of high-frequency electric fields, achieving spatial selectivity. Despite its potential, the physiological effects remain unexplored. Here, we present a customized liquid metal-based neural interface to record electrophysiological responses to TIS across diverse neural tissues, from brain organoids to mouse brains. The softness of the interface minimizes invasiveness while ensuring stable access to deep neural regions. Electrophysiological analyses reveal TIS-induced dynamics in neurodevelopment and functional connectivity. Furthermore, we investigated latent neural dynamics, presenting population-level neural activity, to compare responses across models of differing complexity and maturity. By combining soft neural interfaces with multi-scale analyses, this study uncovers how neuromodulation shapes neural dynamics and supports the development of future therapeutic strategies.

Chronic pain is a leading cause of human suffering, affecting about 20% of the population. The insular cortex (IC) is a central hub for the multidimensional experience of pain, yet how the diverse neurons in IC are organized and assembled into functional circuits remains unclear. Here, combining multiplexed error-robust fluorescence in situ hybridization (MERFISH), neural tracing and in vivo functional analyses, we resolve the molecular, cellular and circuit architecture of the IC. We find that neuronal projections are specified by both transcriptomic identity and spatial topography. We further show that three molecularly defined neuron types in the posterior IC form discrete brain-wide networks that differentially regulate pain. Layer 5 pyramidal tract (PT) neurons regulate mechanical, thermal and affective pain. In contrast, layer 5 intratelencephalic (IT) neurons selectively modulate thermal nociception, whereas layer 6 corticothalamic (CT) neurons surprisingly relieve negative pain affects. Together, these findings reveal the spatially resolved cellular and circuit organization of the IC governing different dimensions of pain and uncover targets for precision pain therapy.

Background Direct current (DC) stimulation can modulate neuronal activity in ways that differ from pulsatile stimulation, but its intracranial use has been limited by concerns about tissue injury at the electrode/tissue interface. Quantitative safety limits for DC delivered through metal electrodes directly to the brain remain poorly defined. Objective To estimate histological safety boundaries for DC stimulation delivered through metal electrodes in a large-brain gyrencephalic animal model. Methods Cathodal DC stimulation was applied to the exposed cortical surface of ten anesthetized sheep using platinum–iridium disc electrodes typically used in clinical applications (surface area ≤ 4.15 mm 2 ). Currents of 5 to 1000 µA were delivered for 10 to 15 minutes at 36 cortical sites. Stimulation dose was quantified as charge density. Brains were removed shortly after stimulation and examined histologically for tissue damage, including necrosis, inflammation, gliosis, and demyelination. Lesion volumes were quantified and related to charge density. Results No lesions were observed at sites where no current or a low charge density (0.7 mC/mm 2 ) was delivered. With stimulation, lesion probability and volume increased with charge density, although variability was substantial. Lesions occurred in 3 of 18 sites at lower charge densities (1.4 to 10 mC/mm 2 ) and in 5 of 9 sites at higher charge densities (14.4 to 144.4 mC/mm 2 ). Linear regression of lesion volume against charge density yielded an estimated zero-lesion intercept of 2.3 mC/mm 2 , whereas alternative nonlinear models predicted thresholds up to 8.7 mC/mm 2 . Conclusion These findings suggest that it may be possible to apply cathodal DC stimulation directly to the cortical surface through metal electrodes without detectable histological damage when current intensity, duration, and electrode size are appropriately constrained. These findings provide quantitative guidance for the safe application of DC directly to neural tissue in experimental and translational neuromodulation studies.

The frontopolar cortex (FPC) is thought to coordinate the more posterior lateral prefrontal cortex (LPFC) during complex, nonroutine behaviors through high-level functions such as management of multiple goals, exploration, and self-generated decision-making. However, direct neurophysiological comparisons with other prefrontal regions are lacking, leaving the FPC’s putative dominance untested. Contrary to this view, our comparison of neuronal activity across the full anteroposterior LPFC in macaques during six distinct tasks probing these functions revealed a posterior-to-mid LPFC dominance, with resource-allocation signals, novelty- and reward-related learning signals, and modality-invariant decision-monitoring signals all showing a common posterior bias. In contrast, regardless of the task demands, FPC exhibited inflexible encoding of just-executed actions and consistent task-related deactivation resembling default-mode network activity. We identified a turning point in this graded posterior-to-anterior transition from task-positive to task-negative regions around the border between the anterior and middle thirds of the LPFC. These findings challenge the prevailing notion that the LPFC is anterior dominant across primate species and provide evolutionary constraints on theories of human prefrontal organization.

Auditory decision-making requires transforming sensory inputs into meaningful choices by integrating external stimuli with internal cognitive processes. Classical hierarchical models propose sequential processing, where primary sensory areas relay sensory information to higher-order regions that compute decision-related processes. However, whether this sequential hierarchy fully captures cortical dynamics remains unclear. Here, we analyzed simultaneous neuronal recordings from primary auditory cortex (A1) and dorsolateral prefrontal cortex (PFC) in two male macaque monkeys performing a spatial auditory decision-making task. Our analyses revealed a clear temporal hierarchy: sensory information was unidirectionally transferred from A1 to PFC, while decision-related information exhibited a bidirectional transfer, first from PFC to A1, and crucially back from A1 to PFC. These findings extend classical hierarchical assumptions, demonstrating a recurrent loop between A1 and PFC during decision-making, and offer a dynamic perspective on the integration of sensory and cognitive processes in the cerebral cortex.

Gait impairments remain a major therapeutic challenge in Parkinson's disease (PD). Apomorphine is gaining renewed clinical attention with the expanding use of pump infusion systems. Yet the specific role of apomorphine on the neural regulation of gait has remained poorly characterized, limiting its targeted use for symptom-specific therapy in PD. Here, we examined the neurobehavioral effects of apomorphine on runway locomotion in the unilateral 6-hydroxydopamine (6-OHDA) rat model. Therapeutic drug doses significantly increased total walking distance, related to reduced akinesia and prolonged gait episodes. Conversely, 3D kinematic analysis revealed reduced limb velocities under medication. At the neural level, therapy doses selectively enhanced cortical high-gamma rhythms without substantially altering beta or low-gamma activity. Instead, beta and low-gamma oscillations were consistently suppressed during motor activity in both medication ON and OFF conditions. Neurobehavioral correlations showed that transitions into gait were facilitated by reductions in beta and low-gamma activity, whereas transitions to akinesia were primarily suppressed when high-gamma activity was elevated. Our findings highlight that cortical oscillations can serve as state specific biomarkers for gait impairments in PD. We further propose that the complex therapy effects of apomorphine are best explained by a shift in motor-state equilibrium that is defined by the transitions of akinesia, stationary movements and gait. Together, these insights establish a mechanistic framework to guide the development of targeted gait therapies in PD.

Purpose: In anesthesia research and clinical practice, the level of consciousness is often assessed by stimulating subjects and observing their responses. It is possible that such stimulation alters the very state of consciousness being assessed. Whether this phenomenon is accompanied by specific cortical activities remains unknown. Here, we tested the effects of behavioral assessments on neuronal activity in the rat primary auditory cortex (A1) and perirhinal cortex (PrC). Methods: Neuronal spiking activity was recorded from microwire arrays targeting A1 and/or PrC in rats (n = 9), whilst presenting 40 Hz click-trains and gradually increasing infusion rates of propofol, remifentanil, ketamine or dexmedetomidine. We assessed righting reflex, pain withdrawal, whisking reflex, and corneal reflex every 12 minutes (every 360 auditory trials). We searched for significant changes in baseline firing rate and stimulus-evoked activities (where present) due to the behavioral assessments, by comparing 4 min intervals before and after the behavioral tests. Results: Out of 1004 units in 20 sessions, we found significantly elevated activity (p < 0.01) following behavioral tests in 32% and 20% of A1 auditory-responsive units and 8.6% and 5.3% of auditory-unresponsive units under propofol and dexmedetomidine, respectively, but not under remifentanil or ketamine. A higher proportion of units modulated their firing following behavioral tests in A1 compared to PrC, with median gains ranging from +0.23 to +1.06, depending on the specific response feature. Conclusion: Behavioral testing increases ongoing firing rate and responses to sounds in some cortical neurons. This increase is more prevalent in A1 than in PrC, mirroring clinical observations that patients exhibit basic responses under sedation, while complex processing, such as memory encoding, is impaired. The degree of neuronal modulation due to behavioral testing varies between anesthetic agents, mirroring their clinical phenotypes.