The sensory neurons of touch

Regenerative failure of sympathetic axons contributes to deficits in functional recovery after nerve injury

Renewed scientific interest in sympathetic modulation of muscle and neuromuscular junctions has spurred a flurry of new discoveries with major implications for motor diseases. However, the role sympathetic axons play in the persistent dysfunction that occurs after nerve injuries remains to be explored. Peripheral nerve injuries are common and lead to motor, sensory, and autonomic deficits that result in lifelong disabilities. Given the importance of sympathetic signaling in muscle metabolic health and maintaining bodily homeostasis, it is imperative to understand the regenerative capacity of sympathetic axons after injury. Therefore, we tested sympathetic axon regeneration and functional reinnervation of skin and muscle, both acute and long-term, using a battery of anatomical, pharmacological, chemogenetic, cell culture, analytical chemistry, and electrophysiological techniques. We employed several established growth-enhancing interventions, including electrical stimulation and conditioning lesion, as well as an innovative tool called bioluminescent optogenetics. Our results indicate that sympathetic regeneration is not enhanced by any of these treatments and may even be detrimental to sympathetic regeneration. Despite the complete return of motor reinnervation after sciatic nerve injury, gastrocnemius muscle atrophy and deficits in muscle cellular energy charge, as measured by relative ATP, ADP, and AMP concentrations, persisted long after injury, even with electrical stimulation. We suggest that these long-term deficits in muscle energy charge and atrophy are related to the deficiency in sympathetic axon regeneration. New studies are needed to better understand the mechanisms underlying sympathetic regeneration to develop therapeutics that can enhance the regeneration of all axon types.

How microglia contribute to the induction and maintenance of neuropathic pain

Neuropathic pain is a debilitating condition caused by damage to the nervous system that results in changes along the pain pathway that lead to persistence of the pain sensation. Unremitting pain conditions are associated with maladaptive plasticity, disruption of neuronal activity that favours excitation over inhibition, and engagement of immune cells. The substantial progress made over the last two decades in the neuroimmune interaction research area points to a mechanistic role of spinal cord microglia, which are resident immune cells of the CNS. Microglia respond to and modulate neuronal activity during establishment and persistence of neuropathic pain states, and microglia-neuron pathways provide targets that can be exploited to attenuate abnormal neuronal activity and provide pain relief.

Regulation of Cardiac Function by the Autonomic Nervous System

The autonomic nervous system is critical for regulating cardiovascular physiology. The neurocardiac axis encompasses multiple levels of control, including the motor circuits of the sympathetic and parasympathetic nervous systems, sensory neurons that contribute to cardiac reflexes, and the intrinsic cardiac nervous system that provides localized sensing and regulation of the heart. Disruption of these systems can lead to significant clinical conditions. Recent advances have enhanced our understanding of the autonomic control of the heart, detailing the specific neuronal populations involved and their physiologic roles. In this review, we discuss this research at each level of the neurocardiac axis. We conclude by discussing the clinical field of neurocardiology and attempts to translate this new understanding of neurocardiac physiology to the clinic. We highlight the contributions of autonomic dysfunction in prevalent cardiovascular diseases and assess the current status of novel neuroscience-based treatment approaches.

A distributed coding logic for thermosensation and inflammatory pain

Somatosensory neurons encode detailed information about touch and temperature and are the peripheral drivers of pain1,2. Here by combining functional imaging with multiplexed in situ hybridization3, we determined how heat and mechanical stimuli are encoded across neuronal classes and how inflammation transforms this representation to induce heat hypersensitivity, mechanical allodynia and continuing pain. Our data revealed that trigeminal neurons innervating the cheek exhibited complete segregation of responses to gentle touch and heat. By contrast, heat and noxious mechanical stimuli broadly activated nociceptor classes, including cell types proposed to trigger select percepts and behaviours4-6. Injection of the inflammatory mediator prostaglandin E2 caused long-lasting activity and thermal sensitization in select classes of nociceptors, providing a cellular basis for continuing inflammatory pain and heat hypersensitivity. We showed that the capsaicin receptor TRPV1 (ref. 7) has a central role in heat sensitization but not in spontaneous nociceptor activity. Unexpectedly, the responses to mechanical stimuli were minimally affected by inflammation, suggesting that tactile allodynia results from the continuing firing of nociceptors coincident with touch. Indeed, we have demonstrated that nociceptor activity is both necessary and sufficient for inflammatory tactile allodynia. Together, these findings refine models of sensory coding and discrimination at the cellular and molecular levels, demonstrate that touch and temperature are broadly but differentially encoded across transcriptomically distinct populations of sensory cells and provide insight into how cellular-level responses are reshaped by inflammation to trigger diverse aspects of pain.

Three-Dimensionally Architected Tactile Electronic Skins

Tactile electronic skins (e-skins) are flexible electronic devices that aim to replicate tactile sensing capabilities of the human skin, while possessing skin-like geometric features and materials properties. Since the human skin is composed of complex 3D constructions, where the various types of mechanoreceptors are distributed in a spatial layout, an important trend of tactile e-skin development involves introduction of 3D device architectures that can replicate certain structural features of human skins. The resulting 3D architected e-skins have demonstrated advantages in the detection of shear forces and the decoupled perception of multiple mechanical stimuli, which are of pivotal importance in many application scenarios. In this perspective, we summarize the main biological prototypes of existing 3D architected e-skins, and focus on the key 3D architectures related to tactile sensing capabilities. Then we highlight the enhanced tactile perception of 3D architected e-skins in terms of the super-resolution tactile sensing and predictions of diverse physical properties and surface features of an object, which allow for a broad spectrum of practical applications, such as object recognition, human-machine interactions, dexterous manipulation, and health monitoring. Finally, we discuss scientific challenges and opportunities for future developments of 3D architected tactile e-skins.

The dorsal column nuclei scale mechanical sensitivity in naive and neuropathic pain states

During pathological conditions, tactile stimuli can aberrantly engage nociceptive pathways leading to the perception of touch as pain, known as mechanical allodynia. The brain stem dorsal column nuclei integrate tactile inputs, yet their role in mediating tactile sensitivity and allodynia remains understudied. We found that gracile nucleus (Gr) inhibitory interneurons and thalamus-projecting neurons are differentially innervated by primary afferents and spinal inputs. Functional manipulations of these distinct Gr neuronal populations bidirectionally shifted tactile sensitivity but did not affect noxious mechanical or thermal sensitivity. During neuropathic pain, Gr neurons exhibited increased sensory-evoked activity and asynchronous excitatory drive from primary afferents. Silencing Gr projection neurons or activating Gr inhibitory neurons in neuropathic mice reduced tactile hypersensitivity, and enhancing inhibition ameliorated paw-withdrawal signatures of neuropathic pain and induced conditioned place preference. These results suggest that Gr activity contributes to tactile sensitivity and affective, pain-associated phenotypes of mechanical allodynia.

Decoding Social Touch: A Multi-Modal Exploration of Tactile Perception, Gender and Culture

Social touch plays a vital role in human development, communication, and general well-being. However, the mechanisms underlying how social touch elicits pleasant or aversive responses are poorly understood. Furthermore, it remains unclear how alterations in sensory processing, at both the perceptual level (i.e. detection and discrimination of stimuli) and behavioural level (i.e. response to stimuli), shape the experience of social touch, in addition to contextual factors such as gender and culture. In the current study, we used vibrotactile psychophysics and a novel social touch paradigm to assess the association between tactile perceptual differences and social touch preference in two cross-cultural cohorts (54 adults in the UK and 21 adults in Singapore). We found that participants with poorer tactile discrimination thresholds in both cohorts had lower pleasantness ratings for social touch, and higher pleasantness ratings for non-social touch, with a stronger predictive effect than gender or culture alone. We also found evidence of strong gender effects, such that female participants rated different-gender touch as less pleasant than males. Singaporean participants also showed lower preferences for social touch than UK participants. Our results suggest a bottom-up perceptual mechanism in linking poorer tactile discrimination with greater social touch aversion in adults. Furthermore, while some cultural differences between cohorts were observed at the contextual level, perceptual contributions to social touch preference appeared to be conserved, suggesting a shared biological mechanism between cultures. These findings could have implications for clinical conditions that are characterised by altered sensory and social processing.

Assessment of facial pressure sensitivity of head-mounted displays based on practical application scenarios

With the development of Virtual Reality and Augmented Reality technologies, improving the comfort of head-mounted displays (HMDs) is crucial for optimizing user experience. Although pressure threshold measurements have been widely applied in the design of wearable devices, no studies have yet investigated pressure sensitivity specific to HMDs. This study developed a novel handheld electronic force gauge to measure subjective discomfort sensitivity at nine key contact points between the HMD and the face under varying applied forces. Repeated measures ANOVA was used to compare the results, with discomfort levels classified through clustering. A new sensitivity map was created based on these classifications. The findings show higher pressure sensitivity around the periorbital and zygomatic regions, with gender differences becoming more pronounced as pressure increases. Designers can leverage these data to apply soft or pressure-relieving materials in highly sensitive areas and adjust the weight distribution of the HMD.

Single-neuron projectome reveals organization of somatosensory ascending pathways in the mouse brain

Relay of multimodal somatosensory information from the spinal cord to the brain is critical for sensory perception, but the underlying circuit organization remains unclear. We have reconstructed mouse cervical spinal projection neurons at single-cell resolution and identified 19 projectome-defined subtypes exhibiting diverse projection patterns. We also reconstructed the brain-wide axonal projections of central relay neurons that receive direct spinal inputs at the single-cell resolution. We discovered parallel, divergent, and convergent projection patterns for spinal projection neurons and central relay neurons. Our results revealed the diverse pathways channeling spinal information to the cortex. Furthermore, we identified parallel lateral and medial spinal-superior colliculus-brainstem pathways, which could be involved in orienting and defensive behaviors, respectively. These data allowed us to construct a wiring diagram for ascending somatosensory pathways with projectome-defined subtype resolution. Our single-cell projectome analysis provided a new framework for understanding the complex neural circuitry underlying coordinated processing of diverse somatosensory modalities.

Fast, accurate, and versatile data analysis platform for the quantification of molecular spatiotemporal signals

Optical recording of intricate molecular dynamics is becoming an indispensable technique for biological studies, accelerated by the development of new or improved biosensors and microscopy technology. This creates major computational challenges to extract and quantify biologically meaningful spatiotemporal patterns embedded within complex and rich data sources, many of which cannot be captured with existing methods. Here, we introduce activity quantification and analysis (AQuA2), a fast, accurate, and versatile data analysis platform built upon advanced machine-learning techniques. It decomposes complex live-imaging-based datasets into elementary signaling events, allowing accurate and unbiased quantification of molecular activities and identification of consensus functional units. We demonstrate applications across a wide range of biosensors, cell types, organs, animal models, microscopy techniques, and imaging approaches. As exemplar findings, we show how AQuA2 identified drug-dependent interactions between neurons and astroglia, as well as distinct sensorimotor signal propagation patterns in the mouse spinal cord.

Deep Corneal Nerve Plexus Selective Damage in Persistent Neurotrophic Corneal Epithelial Defects Detected by In Vivo Multiphoton Confocal Microscopy

Purpose

To investigate the corneal nerve damage in neurotrophic corneal persistent epithelial defects by an in vivo imaging system using in vivo multiphoton confocal microscopy (MCM) and calcitonin gene-related peptide (CGRP):GFP Tg mice.

Methods

Corneal epithelium was scraped, followed by administering a single dose of benzalkonium chloride (BAK) to develop a neurotrophic persistent epithelial defect. The defect was imaged with fluorescein staining for up to 24 hours, and wound closure percentage (%, WCP) was calculated. CGRP:GFP Tg mice were used in combination with in vivo MCM to acquire in vivo images of corneal nerve before and 24 hours after the creation of a corneal epithelial defect. GFP signals from CGRP-positive nerves were reconstructed into three-dimensional (3D) images, and nerve volume was analyzed. Additionally, corneal mechanosensation was evaluated using Cochet-Bonnet esthesiometry.

Results

BAK-treated eyes showed a significant delay in WCP at 24 hours. In CGRP:GFP Tg mice, CGRP-positive nerves were successfully captured by in vivo MCM and reconstructed into 3D images. BAK-treated eyes showed a significant decrease in both stromal nerve volume and corneal mechanosensation compared to no BAK eyes at 24 hours after corneal scraping, suggesting that BAK impaired the stromal nerves in both structural and functional asides.

Conclusions

Our in vivo corneal nerve imaging system using the combination of in vivo MCM and CGRP:GFP Tg mice demonstrated a longitudinal observation of murine corneal nerves. This system revealed that corneal stromal nerves were selectively damaged in persistent neurotrophic corneal epithelial defects and offered outstanding potential for various applications.

Developing Brain-Based Bare-Handed Human-Machine Interaction via On-Skin Input

Developing natural, intuitive, and human-centric input systems for mobile human-machine interaction (HMI) poses significant challenges. Existing gaze or gesture-based interaction systems are often constrained by their dependence on continuous visual engagement, limited interaction surfaces, or cumbersome hardware. To address these challenges, we propose MetaSkin, a novel neurohaptic interface that uniquely integrates neural signals with on-skin interaction for bare-handed, eyes-free interaction by exploiting human's natural proprioceptive capabilities. To support the interface, we developed a deep learning framework that employs multiscale temporal-spectral feature representation and selective feature attention to effectively decode neural signals generated by on-skin touch and motion gestures. In experiments with 12 participants, our method achieved offline accuracies of 81.95% for touch location discrimination, 71.00% for motion type identification, and 46.08% for 10-class touch-motion classification. In pseudo-online settings, accuracies reached 99.43% for touch onset detection, and 80.34% and 67.02% for classification of touch location and motion type, respectively. Neurophysiological analyses revealed distinct neural activation patterns in the sensorimotor cortex, underscoring the efficacy of our multiscale approach in capturing rich temporal and spectral dynamics. Future work will focus on optimizing the system for diverse user populations and dynamic environments, with a long-term goal of advancing human-centered, neuroadaptive interfaces for next-generation HMI systems. This work represents a significant step toward a paradigm shift in design of brain-computer interfaces, bridging sensory and motor paradigms for building more sophisticated systems.

Neuroimmune mechanisms of type 2 inflammation in the skin and lung

Type 2 inflammation has a major role in barrier tissues such as the skin and airways and underlies common conditions including atopic dermatitis (AD) and asthma. Cytokines including interleukin 4 (IL-4), IL-5, and IL-13 are key immune signatures of type 2 inflammation and are the targets of multiple specific therapeutics for allergic diseases. Despite shared core immune mechanisms, the distinct structures and functions of the skin and airways lead to unique therapeutic responses. It is increasingly recognized that the nervous system has a major role in sensing and directing inflammatory processes. Indeed, crosstalk between type 2 immune activation and somatosensory functions mediates tissue-specific signatures such as itching in the skin. However, neuroimmune interactions are shaped by distinct neuronal and immune landscapes, and differ between the skin and airways. In the skin, dorsal root ganglia-derived neurons mediate pruritus via type 2 cytokines and neurogenic inflammation by mast cell or basophil activation. Conversely, vagal ganglia-derived neurons regulate airway immune responses by releasing neuropeptides/neurotransmitters such as calcitonin gene-related peptides, neuromedin U, acetylcholine, and noradrenaline. Sensory neuron-derived vasoactive intestinal peptide forms a feedback loop with IL-5, amplifying eosinophilic inflammation in the airways, a mechanism that is absent in the skin. These differences influence the efficacy of cytokine-targeted therapies. For instance, IL-4/IL-13-targeted therapies like dupilumab demonstrate efficacy in AD and allergic airway diseases, whereas IL-5-targeted therapies are effective in eosinophilic asthma but not AD. Understanding these neuroimmune interactions underscores the need for tailored therapeutic approaches to address allergic diseases where barrier tissues are involved.

A worldwide research overview of Artificial Proprioception in prosthetics

Proprioception is the body's ability to sense its position and movement, which is essential for motor control. Its loss after amputation poses significant challenges for prosthesis users. Artificial Proprioception enhances sensory feedback and motor control in prosthetic devices. This review provides a global overview of current research and technology in the field, emphasizing feedback mechanisms, neural interfaces, and biomechatronic integration. This work examines innovations in sensory feedback for amputees, including electrotactile and vibrotactile stimulation, artificial intelligence, and neural interfaces to enhance prosthetic control. The methodology involved reviewing studies from Scopus, Web of Science, and PubMed on prosthetic proprioceptive feedback from 2004 to 2024, evaluating sensory feedback research by author, country, and affiliation with a synthesis provided. Countries like the United States and Italy are collaborating to advance global research. The paper concludes with potential developments, such as advanced, user-centered prosthetics that meet amputees' sensory needs and significantly enhance their quality of life.

Soft Materials and Devices Enabling Sensorimotor Functions in Soft Robots

Sensorimotor functions, the seamless integration of sensing, decision-making, and actuation, are fundamental for robots to interact with their environments. Inspired by biological systems, the incorporation of soft materials and devices into robotics holds significant promise for enhancing these functions. However, current robotics systems often lack the autonomy and intelligence observed in nature due to limited sensorimotor integration, particularly in flexible sensing and actuation. As the field progresses toward soft, flexible, and stretchable materials, developing such materials and devices becomes increasingly critical for advanced robotics. Despite rapid advancements individually in soft materials and flexible devices, their combined applications to enable sensorimotor capabilities in robots are emerging. This review addresses this emerging field by providing a comprehensive overview of soft materials and devices that enable sensorimotor functions in robots. We delve into the latest development in soft sensing technologies, actuation mechanism, structural designs, and fabrication techniques. Additionally, we explore strategies for sensorimotor control, the integration of artificial intelligence (AI), and practical application across various domains such as healthcare, augmented and virtual reality, and exploration. By drawing parallels with biological systems, this review aims to guide future research and development in soft robots, ultimately enhancing the autonomy and adaptability of robots in unstructured environments.

Skin somatosensory system inspired gelatin-based organohydrogel electronic skin for infant hazard alarms

Multi-functional electronic skin (e-skin) demonstrates immense potential for applications in physiological monitoring and human-computer interaction. However, achieving reliable multi-modal sensing in complex environments and hazard alarms for infants remains a significant challenge. Drawing inspiration from the skin's somatosensory system, we herein present an innovative multi-modal sensing organohydrogel, fabricated by incorporating gelatin, laponite, and LiCl into a copolymer network within a glycerol/water binary solvent. The designed organohydrogel exhibits skin-like composition and modulus. Furthermore, the low-temperature induced triple-helix structure of gelatin and the presence of binary solvents, imparting excellent stretchability, thermosensitivity, and outstanding environmental tolerance. Remarkably, this organohydrogel is well-suited for gelatin-based e-skin applications, mimicking the skin's sensory functions to detect strain, pressure, temperature, and humidity. Furthermore, the gelatin-based e-skin can be integrated with a custom-designed data recognition and analysis system, enabling real-time monitoring of an infant's physiological and movement states. This capability proves particularly valuable for providing timely alerts in hazardous situations, including asphyxiation caused by chest pressure, fever, or excessive sweating. This work paves the way for the next generation of e-skin for human health monitoring and hazard detection.

Effects of somatosensory-stimulating foot orthoses on postural balance in older adults: A computerized dynamic posturography analysis

BACKGROUND

Foot orthoses (FO) with protruding knobs designed to stimulate the mechanoreceptors on the glabrous skin of the foot have been proposed to enhance proprioception, thereby improving postural balance and stability. This study aimed to investigate the effects of these FO with stimulating knobs on the postural balance in the elderly using computerized dynamic posturography (CDP).

RESEARCH QUESTION

Do FO with stimulating knobs enhance postural balance in the elderly by improving scores related to sensory organization, motor control, and adaptation in response to different static and dynamic perturbation conditions?

METHODS

Twenty-three healthy elderly participants performed the CDP, which includes Sensory Organization Test, Motor Control Test, and Adaptation Test in both flat FO and stimulating FO. The Bertec Balance Advantage System with force plates was employed to collect comprehensive CDP data.

RESULTS

Our results indicated a significant improvement in the composite equilibrium score (MD=1.44, p = 0.048) and weight symmetry (MD=-1.85, p = 0.024) between the two limbs when using the stimulating FO compared to the flat FO condition. The latency and amplitude scaling during backward translation as well as sway energy during toes down perturbations were lower in females than males with stimulating FO (Latency: MD=-6.62, p = 0.044; Amplitude scaling: MD=-1.75, p = 0.011; Sway energy: MD=-40.08, p = 0.007).

SIGNIFICANCE

These findings highlight the potential of stimulating FO to provide enhanced somatosensory feedback for better postural control and coordination, underscoring their potential clinical application in improving balance and sensory integration.

The role of skin hydration, skin deformability, and age in tactile friction and perception of materials

Friction between fingertip and surface is a key contribution to tactile perception during active exploration of materials. We explore the role of skin factors such as stratum corneum thickness and hydration, deformability, elasticity, or density of sweat glands and of Meissner corpuscles in friction and tactile perception. The skin parameters were determined non-invasively for the glabrous skin at the index finger pad of 60 participants. Sets of randomly rough plastic surfaces and of micro-structured fibrillar rubber surfaces were explored as model materials with well-defined parameterized textures. Friction varies greatly between participants, and this variation can be explained to 70% by skin factors for the randomly rough plastic surfaces. The predictability of friction by skin factors is much lower for micro-structured rubber surfaces with bendable fibrils, where 50% of variance is explained for the stiffest fibrils but only 20% for the most bendable fibrils. The participants' age is the key predictor for their tactile sensitivity to perceive the fibrils, where age is negatively correlated to the density of Meissner corpuscles. The results suggest that stratum corneum hydration, skin deformability, and age are important factors for friction and perception in active tactile exploration of materials.

Skin-attached haptic patch for versatile and augmented tactile interaction

Wearable tactile interfaces can enhance immersive experiences in virtual/augmented reality systems by adding tactile stimulation to the skin along with the visual and auditory information delivered to the user. We introduce a flat cone dielectric elastomer actuator (FCDEA) array that is thin, soft, and capable of producing spatiotemporally adjustable and large static-to-dynamic force in response to electric voltage signals on large areas of the skin. Integration of the FCDEA array into a photomicrosensor array enables the implementation of a wearable wireless communication haptic patch. We demonstrate that the developed haptic patch allows users to communicate tactile information in real time while maintaining conformal contact with the skin. The haptic patch can also express the topology of 3D structures and render textures of virtual objects in response to localized vibration of the FCDEA array. We expect that the developed haptic patch will provide an immersive touching experience in virtual reality and facilitate tactile communication between users in various applications.

An ultrastructural map of a spinal sensorimotor circuit reveals the potential of astroglial modulation

Information flow through circuits is dictated by the precise connectivity of neurons and glia. While a single astrocyte can contact many synapses, how glial-synaptic interactions are arranged within a single circuit to impact information flow remains understudied. Here, we use the local spinal sensorimotor circuit in zebrafish as a model to understand how neurons and astroglia are connected in a vertebrate circuit. With semi-automated cellular reconstructions and automated approaches to map all the synaptic connections, we identified the precise synaptic connections of the local sensorimotor circuit, from dorsal root ganglia neurons to spinal interneurons and finally to motor neurons. This revealed a complex network of interneurons that interact in the local sensorimotor circuit. We then mapped the glial processes within tripartite synapses in the circuit. We demonstrate that tripartite synapses are equally distributed across the circuit, supporting the idea that glia can modulate information flow through the circuit at different levels. We show that multiple astroglia, including bona fide astrocytes, contact synapses within a single sensory neuron's circuit and that each of these astroglia can contact multiple parts of the circuit. This detailed map reveals an extensive network of connected neurons and astroglia that process sensory stimuli in a vertebrate. We then utilized this ultrastructural map to model how synaptic thresholding and glial modulation could alter information flow in circuits. We validated this circuit map with GCaMP6s imaging of dorsal root ganglia, spinal neurons and astroglia. This work provides a foundational resource detailing the ultrastructural organization of neurons and glia in a vertebrate circuit, offering insights in how glia could influence information flow in complex neural networks.

Somatosensory training: a systematic review and meta-analysis with methodological considerations and clinical insights

Somatosensory training, which involves repetitive somatosensory stimulation, has been employed to enhance somatosensory performance by modulating excitability in the primary somatosensory cortex. This process, known as perceptual learning, can benefit stroke patients with somatosensory deficits. However, its effectiveness in both healthy individuals and stroke patients has not been thoroughly investigated. This systematic review and meta-analysis aimed to evaluate the effectiveness of somatosensory training in these groups. However, no eligible data on stroke patients were identified, excluding them from the analysis. In healthy participants, somatosensory training improved performance in 61.2% datasets, but this effect was observed only at the stimulated site. Additionally, it increased early somatosensory-evoked potential amplitudes in 76.9% of datasets at the stimulated site, with no effect on the non-stimulated site. Despite these moderate improvements, the risk of bias assessment revealed methodological concerns including randomization process, proper control conditions, blinding information, and missing data. The meta-analysis focused on the impact of somatosensory training on tactile two-point discrimination (TPD) in various factors, including different age groups, stimulus durations, stimulus frequencies, and stimulus types. A marked reduction in TPD threshold was observed at the stimulated finger post-training compared to pre-training, though there was a noticeable heterogeneity across studies. In contrast, no significant changes occurred at the non-stimulated fingers, and the subgroup analysis found no specific factors influencing TPD improvements. Although somatosensory training benefits healthy individuals, the variability and methodological concerns highlight the need for further high-quality research to optimize its use in treating somatosensory deficits in stroke patients.

Flexible Neuromorphic Electronics for Wearable Near-Sensor and In-Sensor Computing Systems

Flexible neuromorphic architectures that emulate biological cognitive systems hold great promise for smart wearable electronics. To realize neuro-inspired sensing and computing electronics, artificial sensory neurons that detect and process external stimuli must be integrated with central nervous systems capable of parallel computation. In near-sensor computing, synaptic devices, and sensors are used to emulate sensory neurons and receptors, respectively. In contrast, in in-sensor computing, a single multifunctional device serves as both the receptor and neuron. Bio-inspired cognitive systems efficiently detect and process stimuli through data structuring techniques, significantly reducing data volume and enabling the extension of neuromorphic applications to smart wearable systems. To construct wearable near- and in-sensor computing, it is crucial to develop artificial sensory neurons and central nervous synapses that replicate the biological functionalities. Additionally, the integrated systems must exhibit high mechanical flexibility and integration density. This review addresses research on flexible bio-inspired cognitive systems, classified into near- and in-sensor computing. It covers fundamental aspects, including biological cognitive processes, the required components, and the structures for each component, as well as applications for wearable smart systems. Finally, it offers perspectives on future research directions for flexible neuromorphic electronics in smart wearable systems connected to the next-generation Internet of Things.

Neurogenic inflammation and itch in barrier tissues

Once regarded as distinct systems, the nervous system and the immune system are now recognized for their complex interactions within the barrier tissues. The neuroimmune circuitry comprises a dual-network system that detects external and internal disturbances, providing critical information to tailor a context-specific response to various threats to tissue integrity, such as wounding or exposure to noxious and harmful stimuli like pathogens, toxins, or allergens. Using the skin as an example of a barrier tissue with the polarized sensory neuronal responses of itch and pain, we explore the molecular pathways driving neuronal activation and the effects of this activation on the immune response. We then apply these findings to other barrier tissues, to find common pathways controlling neuroimmune responses in the barriers.

Self-Powered Artificial Neuron Devices: Towards the All-In-One Perception and Computation System

The increasing demand for energy supply in sensing units and the computational efficiency of computation units has prompted researchers to explore novel, integrated technology that offers high efficiency and low energy consumption. Self-powered sensing technology enables environmental perception without external energy sources, while neuromorphic computation provides energy-efficient and high-performance computing capabilities. The integration of self-powered sensing technology and neuromorphic computation presents a promising solution for an all-in-one system. This review examines recent developments and advancements in self-powered artificial neuron devices based on triboelectric, piezoelectric, and photoelectric effects, focusing on their structures, mechanisms, and functions. Furthermore, it compares the electrical characteristics of various types of self-powered artificial neuron devices and discusses effective methods for enhancing their performance. Additionally, this review provides a comprehensive summary of self-powered perception systems, encompassing tactile, visual, and auditory perception systems. Moreover, it elucidates recently integrated systems that combine perception, computing, and actuation units into all-in-one configurations, aspiring to realize closed-loop control. The seamless integration of self-powered sensing and neuromorphic computation holds significant potential for shaping a more intelligent future for humanity.

Single-nuclei RNA Sequencing Reveals Distinct Transcriptomic Signatures of Rat Dorsal Root Ganglia in a Chronic Discogenic Low Back Pain Model

Chronic low back pain (LBP), often correlated with intervertebral disc degeneration, is a leading source of disability worldwide yet remains poorly understood. Current treatments often fail to provide sustained relief, highlighting the need to better understand the mechanisms driving discogenic LBP. During disc degeneration, the extracellular matrix degrades, allowing nociceptive nerve fibers to innervate previously aneural disc regions. Persistent mechanical and inflammatory stimulation of nociceptors can induce plastic changes within dorsal root ganglia (DRG) neurons, characterized by altered gene expression, enhanced excitability, and lowered activation thresholds. Although these transcriptional changes have been described in other pain states, including osteoarthritis, they remain underexplored in discogenic LBP. To address this gap, this study represents the first application of comprehensive single-nuclei RNA sequencing of DRG neurons in a rat model of chronic discogenic LBP. Eighteen distinct DRG subpopulations were identified and mapped to existing mouse and cross-species atlases revealing strong similarities in neuronal populations with the mouse. Differential expression analysis revealed increased expression of pain-associated genes, including Scn9a and Piezo2, and neuroinflammatory mediators such as Fstl1 and Ngfr, in LBP animals. Axial hypersensitivity, measured using grip strength, significantly correlated with increased expression of Scn9a, Fstl1, and Ngfr, which suggests their role in maintaining axial hypersensitivity in this model. These findings establish a relationship between DRG transcriptomic changes and axial hypersensitivity in a discogenic LBP model, identifying potential molecular targets for non-opioid treatments and advancing understanding of discogenic LBP mechanisms.

The Next Frontier in Neuroprosthetics: Integration of Biomimetic Somatosensory Feedback

The development of neuroprosthetic limbs-robotic devices designed to restore lost limb functions for individuals with limb loss or impairment-has made significant strides over the past decade, reaching the stage of successful human clinical trials. A current research focus involves providing somatosensory feedback to these devices, which was shown to improve device control performance and embodiment. However, widespread commercialization and clinical adoption of somatosensory neuroprosthetic limbs remain limited. Biomimetic neuroprosthetics, which seeks to resemble the natural sensory processing of tactile information and to deliver biologically relevant inputs to the nervous system, offer a promising path forward. This method could bridge the gap between existing neurotechnology and the future realization of bionic limbs that more closely mimic biological limbs. In this review, we examine the recent key clinical trials that incorporated somatosensory feedback on neuroprosthetic limbs through biomimetic neurostimulation for individuals with missing or paralyzed limbs. Furthermore, we highlight the potential impact of cutting-edge advances in tactile sensing, encoding strategies, neuroelectronic interfaces, and innovative surgical techniques to create a clinically viable human-machine interface that facilitates natural tactile perception and advanced, closed-loop neuroprosthetic control to improve the quality of life of people with sensorimotor impairments.

Mrgprb4-lineage neurons indispensable in pressure induced pleasant sensation are polymodal

Pharmacogenetic activation of the Mas-related G-protein-coupled receptor b4 (Mrgprb4) neurons in the dorsal root ganglia is positively reinforcing, and these neurons can be activated by innocuous or noxious mechanical stimuli. However, direct evidence regarding the role of these neurons and how they encode diverse somatic inputs remains unclear. To address this, the mild pressure conditioned place preference (MP-CPP) was conducted to evaluate the indispensability of Mrgprb4-lineage neurons in the pleasantness caused by pressure. Mice without Mrgprb4-lineage neurons lost the preference for pressure. The number of Mrgprb4-lineage neurons activated by pressure was significantly higher than that of brush and pinch. The Ca2+ transients activated by pressure and brush were higher than that of pinch. Further analysis of co-activating mechano-thermosensitive neurons showed that pressure evoked higher fluorescence than that of 0°C and 43°C. In brief, Mrgprb4-lineage neurons are needed to transmit pleasant sensation and exhibit functional polymodality.

Neuroanatomy of spinal nociception and pain in dogs and cats: a practical review for the veterinary clinician

Chronic pain is a prevalent condition in companion animals and poses significant welfare challenges. To address these concerns effectively, veterinary clinicians must have a comprehensive understanding of the neuroanatomy of nociception and the intricate processes underlying pain perception. This knowledge is essential for planning and implementing targeted treatment strategies. However, much of the existing information on pain mechanisms is derived from studies on rodents or humans, highlighting the need for further translational research to bridge this gap for veterinary applications. This review aims to provide veterinary clinicians with an in-depth overview of the spinal nociceptive pathways in the dog and cat, tracing the journey from nociceptor activation to cortical processing in the brain. Additionally, the review explores factors influencing nociceptive signaling and pain perception. By enhancing the understanding of these fundamental physiological processes, this work seeks to lay the groundwork for developing effective therapies to manage the complexities of chronic pain in companion animals.

Effects of fabric properties, water saturation and separating velocity on adhesion characteristics using a novel adhesion measurement device

Objectives. To alleviate the discomfort caused by wet fabric adhering to the skin, this study aims to examine the effects of fabric properties, fabric water saturation and separating velocity on adhesion characteristics between the fabric and the skin. Methods. A novel measurement method was devised to assess adhesion characteristics, and the obtained data demonstrated favorable repeatability. Utilizing this methodology, the adhesion characteristics of 21 fabrics were evaluated under varying water saturations and separating velocities. Results. Water saturation exhibited the most substantial positive influence on both peak adhesion force and adhesion distance. As the separating velocity increased, the change rate of adhesion force displayed linear growth. Additionally, the surface roughness of the fabric, measured under dry conditions, did not have a significant impact on the peak adhesion force, while elongation of the fabric did not significantly affect the adhesion distance. Conclusions. This study demonstrates that the water saturation of fabric significantly influences adhesion charateristics, whereas the surface roughness of the fabric under wet conditions does not. Future research should focus on  further exploring the impact of fabric properties on adhesion force in wet conditions.

Spinal sensory innervation of the intestine

Sensing our internal environment, or interoception, is essential under physiologic circumstances, such as controlling food intake, and under pathophysiologic circumstances, often triggering abdominal pain. The sensory neurons that innervate the gastrointestinal (GI) tract to mediate interoception originate in two separate parts of the peripheral nervous system: the spinal sensory neurons, whose cell bodies reside in the dorsal root ganglia (DRG), and the vagal sensory neurons, whose cell bodies reside in the nodose ganglia. While the vagal sensory neurons have been extensively studied for their roles in interoception, the roles of the DRG sensory neurons in internal gut sensing are only beginning to be uncovered. Here, we review the recent advances in understanding the diverse properties and functions of gut-innervating DRG sensory neurons and highlight the many unknowns with regards to this understudied population in regulating interoception.

Touch inhibits cold: non-contact cooling suggests a thermotactile gating mechanism

Skin stimuli reach the brain via multiple neural channels specific for different stimulus types. These channels interact in the spinal cord, typically through inhibition. Inter-channel interactions can be investigated by selectively stimulating one channel and comparing the sensations that result when another sensory channel is or is not concurrently stimulated. Applying this logic to thermal-mechanical interactions proves difficult, because most existing thermal stimulators involve skin contact. We used a novel non-tactile stimulator for focal cooling (9 mm2) by using thermal imaging of skin temperature as a feedback signal to regulate exposure to a dry-ice source. We could then investigate how touch modulates cold sensation by delivering cooling to the human hand dorsum in either the presence or absence of light touch. Across three signal detection experiments, we found that sensitivity to cooling was significantly reduced by touch. This reduction was specific to touch, as it did not occur when presenting auditory signals instead of the tactile input, making explanations based on distraction or attention unlikely. Our findings suggest that touch inhibits cold perception, recalling interactions of touch and pain previously described by Pain Gate Theory.

Sensory neuroimmune signaling in the pathogenesis of Stevens-Johnson syndrome and toxic epidermal necrolysis

BACKGROUND

Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are life-threatening cutaneous reactions often triggered by medications. While the involvement of CD8+ T cells causing keratinocyte death is well recognized, the contribution of neural elements to the persistent skin inflammation has been largely overlooked.

OBJECTIVE

We investigated the potential neuroimmune regulation in SJS/TEN.

METHODS

Unbiased single-cell RNA sequencing and flow cytometry were performed using circulating CD8+ T cells from healthy controls and patients with SJS/TEN. ELISA and LEGENDplex assays were respectively used to detect neuropeptides and inflammatory mediators. Skin tissues were examined by immunofluorescence staining for neuropeptide-associated nerves and cytokine receptors. Calcium imaging, Smart-seq, and a 3-D skin model were used for cultured human CD8+ T cells.

RESULTS

Unbiased RNA sequencing revealed an upregulation of the receptor for neuropeptide calcitonin gene-related peptide (CGRP), known as RAMP1, in effector CD8+ T cells in SJS/TEN. Increased CGRP+ nerve fibers and CGRP levels, along with upregulated IL-15R and IL-18R on CD8+ T cells, were displayed in the affected skin of SJS/TEN. The CGRP-RAMP1 axis was necessary and sufficient to enhance receptors for IL-15 and IL-18 and cytotoxic activities in CD8+ T cells, ultimately resulting in keratinocyte apoptosis. Calcium influx was detected in CGRP-stimulated CD8+ T cells. HCN2, a hyperpolarization-activated cation channel, was required for this process and the subsequent cytotoxic effects.

CONCLUSIONS

Our study highlights the role of neural elements in regulating CD8+ T-cell-mediated inflammatory responses and provides new potential translational targets to improve the outcomes of severe cutaneous drug reactions.

Skin tactile perception is associated with longitudinal gait performance in middle-aged and older Japanese community dwellers

BACKGROUND

Skin tactile perception may indicate frailty in older adults. Although gait performance is crucial for diagnosing frailty, its association with skin tactile perception has not yet been explored.

OBJECTIVES

To examine the association between skin tactile perception and changes in step length, cadence, and gait speed in middle-aged and older adults.

DESIGN

A longitudinal study (mean follow-up: 10.8 years) SETTING: Community-based survey PARTICIPANTS: A total of 1,403 middle-aged and older adults (aged 40-79 years, 53.6 % men) from the National Institute for Longevity Sciences-Longitudinal Study of Aging were included in this study. These participants completed the baseline survey (1997-2000) and at least two follow-up surveys (2000-2012), had no history of cerebrovascular disease, rheumatoid arthritis, or Parkinson's disease, and had complete data with no outliers in skin tactile perception measurements.

MEASUREMENTS

Skin tactile perception was assessed using a two-point discrimination test. Step length (cm), cadence (steps/min), and gait speed (m/min) were evaluated on an 11-m walkway at a usual speed.

RESULTS

The mean age of participants was 56.4 years. After full adjustment, mixed-effects models with splines revealed that the association between skin tactile perception and gait parameters varied with age. In adults aged 60 and above, we observed non-linear relationships between skin tactile perception and gait parameters. A consistent inflection point around 10 mm in tactile perception was identified across different age groups and gait parameters.

CONCLUSIONS

Among community-dwelling middle-aged and older Japanese adults, skin tactile perception was associated with changes in gait parameters, particularly in those aged 60 and above. The 10-mm threshold in tactile perception may serve as a critical indicator for predicting changes in gait performance. Skin tactile perception tests may prove clinically useful for screening patients at elevated risk of impaired gait performance.

Research Progress on Neural Processing of Hand and Forearm Tactile Sensation: A Review Based on fMRI Research

Tactile perception is one of the important ways through which humans interact with the external environment. Similar to the neural processing in visual and auditory systems, the neural processing of tactile information is a complex procedure that transforms this information into sensory signals. Neuroimaging techniques, such as functional Magnetic Resonance Imaging (fMRI), provide compelling evidence indicating that different types of tactile signals undergo independent or collective processing within multiple brain regions. This review focuses on fMRI studies employing both task-based (block design or event-related design) and resting-state paradigms. These studies use general linear models (GLM) to identify brain regions activated during touch processing, or employ functional connectivity(FC) analysis to examine interactions between brain regions, thereby exploring the neural mechanisms underlying the central nervous system's processing of various aspects of tactile sensation, including discriminative touch and affective touch. The discussion extends to exploring changes in tactile processing patterns observed in certain disease states. Recognizing the analogy between pain and touch processing patterns, we conclude by summarizing the interaction between touch and pain. Currently, fMRI-based studies have made significant progress in the field of tactile neural processing. These studies not only deepen our understanding of tactile perception but also provide new perspectives for future neuroscience studies.

Peripheral and central innervation pattern of mechanosensory neurons in the trigeminal ganglion

The trigeminal ganglion (TG) comprises primary sensory neurons responsible for orofacial sensations, subsequently projecting to the trigeminal nuclei in the brainstem. However, the circuit basis of nasal mechanosensation is not well characterized. Here we elucidate the anatomical organization of both peripheral and central projections of the TG. We found that the non-peptidergic nociceptor, MAS-related G protein-coupled receptor member D positive (MrgprD+) neurons in the TG densely innervate the nasal mucosa, whereas the low-threshold mechanoreceptors subtypes rarely innervate the nasal mucosa. We also identified the central projection pattern of the mechanosensory neurons in TG. The tyrosine kinase receptor C positive (TrkC+) neurons, tyrosine kinase receptor B positive (TrkB+) and tyrosine hydroxylase positive (TH+) neurons project to multiple subregions of brainstem trigeminal complex and solitary nucleus. In contrast, the MrgprD+ neurons only densely project to outer edge of Sp5C. In addition, we further determined the ascending pathway of the TG neurons. Taken together, our study demonstrates the peripheral and central projection pattern of mechanosensory neurons in the TG, which provides a basis for the future functional studies.

Structure-Function Diversity of Calcium-Binding Proteins (CaBPs): Key Roles in Cell Signalling and Disease

Calcium (Ca2+) signalling is a fundamental cellular process, essential for a wide range of physiological functions. It is regulated by various mechanisms, including a diverse family of Ca2+-binding proteins (CaBPs), which are structurally and functionally similar to calmodulin (CaM). The CaBP family consists of six members (CaBP1, CaBP2, CaBP4, CaBP5, CaBP7, and CaBP8), each exhibiting unique localisation, structural features, and functional roles. In this review, we provide a structure-function analysis of the CaBP family, highlighting the key similarities and differences both within the family and in comparison to CaM. It has been shown that CaBP1-5 share similar structural and interaction characteristics, while CaBP7 and CaBP8 form a distinct subfamily with unique properties. This review of current CaBP knowledge highlights the critical gaps in our understanding, as some CaBP members are less well characterised than others. We also examine pathogenic mutations within CaBPs and their functional impact, showing the need for further research to improve treatment options for associated disorders.

Top-down architecture of magnetized micro-cilia and conductive micro-domes as fully bionic electronic skin for de-coupled multidimensional tactile perception

Electronic skin (E-skin) has attracted considerable attention for simulating the human sensory system for use in prosthetics, human-machine interactions, and healthcare monitoring. However, it is still challenging to fully mimic the skin function that can de-couple stimuli such as normal/tangential forces, contact/non-contact behaviors, and react to high-frequency inputs. Herein, we propose fully bionic E-skin (FBE-skin), which consists of a magnetized micro-cilia array (MMCA), a micro-dome array (MDA), and flexible electrodes to completely duplicate the hairy layer, epidermis/dermis interface, and subcutaneous mechanoreceptors of human skin. The optimized MDA and interdigital electrode enable the FBE-skin to perceive static forces with a linear sensitivity of 96.6 kPa-1 up to 100 kPa, while the branch of electromagnetic induction allows the FBE-skin to sensitively capture dynamic stimuli with vibrating signals up to 100 Hz. The top-down integration of MDA and MMCA not only replicates the three-dimensional structure of human skin, but also synergistically provides the FBE-skin with bionic rapidly adapting (RA) and slowly adapting (SA) receptors. Consequently, the FBE-skin is capable of perceiving dynamic/static, normal/tangential, and contact/non-contact stimuli with a broad range of working pressures and frequencies. We expect that the design of FBE-skin will be promising for widespread applications from intelligent sensing to human-machine interactions.

Prior knowledge changes initial sensory processing in the human spinal cord

Prior knowledge changes how the brain processes sensory input. Whether knowledge influences initial sensory processing upstream of the brain, in the spinal cord, is unknown. Studying electric potentials recorded invasively and noninvasively from the human spinal cord at millisecond resolution, we find that the cord generates electric potentials at 600 hertz that are modulated by prior knowledge about the time of sensory input, as early as 13 to 16 milliseconds after stimulation. Our results reveal that already in the spinal cord, sensory processing is under top-down, cognitive control, and that 600-hertz signals, which have been identified as a macroscopic marker of population spiking in other regions of the nervous system, play a role in early, context-dependent sensory processing. The possibility to examine these signals noninvasively in humans opens up avenues for research into the physiology of the spinal cord and its interaction with the brain.

Neural mechanism of trigeminal nerve stimulation recovering defensive arousal responses in traumatic brain injury

The arousal state is defined as the degree to which an individual is aware of themselves and their surroundings, and is a crucial component of consciousness. Trigeminal nerve stimulation (TNS), a non-invasive clinical neuromodulation technique, has shown potential in aiding the functional recovery of patients with impaired consciousness. Understanding the specific neuronal subpopulations and circuits through which TNS improves arousal states is essential for advancing its clinical application. Methods: A mouse model of traumatic brain injury (TBI) was established using a weight-drop technique to induce neurological dysfunction, and the arousal state was assessed through visual and auditory defensive responses. Techniques such as viral tracing, chemogenetics, patch-clamp recordings, calcium signaling, and neurotransmitter probes were employed to investigate the relevant subpopulations of trigeminal ganglion (TG) neurons and the underlying mechanisms in the central nervous system. Results: Neuronal subgroups involved in TNS therapy at the key peripheral nucleus, the TG, were identified. Two distinct types of neurons were found to contribute differently: The Tac1+TG-locus coeruleus (LC)-superior colliculus (SC) pathway elevated noradrenaline levels in the SC, enhancing receptive field sensitivity recovery in TBI mice; the Piezo2+TG-paraventricular hypothalamic nucleus (PVN)-substantia nigra pars compacta (SNc)-dorsal striatum (DS) pathway initiated dopamine (DA) release in the DS, ameliorating motor disorders in TBI mice. Conclusion: These pathways contribute to the improvement of defensive arousal responses from different perspectives. The findings from this study imply that TNS effectively restores defensive arousal responses to visual and auditory threats in mice suffering from TBI, offering insights that may facilitate the implementation of TNS therapy in clinical settings.

The auditory midbrain mediates tactile vibration sensing

Vibrations are ubiquitous in nature, shaping behavior across the animal kingdom. For mammals, mechanical vibrations acting on the body are detected by mechanoreceptors of the skin and deep tissues and processed by the somatosensory system, while sound waves traveling through air are captured by the cochlea and encoded in the auditory system. Here, we report that mechanical vibrations detected by the body's Pacinian corpuscle neurons, which are distinguished by their ability to entrain to high-frequency (40-1,000 Hz) environmental vibrations, are prominently encoded by neurons in the lateral cortex of the inferior colliculus (LCIC) of the midbrain. Remarkably, most LCIC neurons receive convergent Pacinian and auditory input and respond more strongly to coincident tactile-auditory stimulation than to either modality alone. Moreover, the LCIC is required for behavioral responses to high-frequency mechanical vibrations. Thus, environmental vibrations captured by Pacinian corpuscles are encoded in the auditory midbrain to mediate behavior.

Pressure-Induced Microvascular Reactivity With Whole Foot Loading Is Unique Across the Human Foot Sole

BACKGROUND

Foot sole plantar pressure generates transient but habitual cutaneous ischemia, which is even more exacerbated in atypical gait patterns. Thus, adequate post-occlusive reactive hyperaemia (PORH) is necessary to maintain skin health. Plantar pressure regional variance during daily tasks potentially generates region-specific PORH, crucial for ischemic defence.

AIMS

The current work investigated regional PORH across the human foot sole resulting from stance-like loading.

MATERIALS & METHODS

A loading device equipped with an in-line laser speckle contrast imager measured blood flux before, during, and after whole-foot loading for 2 and 10 min durations at 15% and 50% body weight. Flux was compared between six regions: the heel, lateral arch, medial arch, and fifth, third, and first metatarsals (MT).

RESULTS

Baseline flux was significantly greater in the 1MT and 3MT than all other regions. Loading occluded the heel, 5MT and 3MT more than all other regions. Regional PORH peak, time to peak, area under the curve, and recovery rate were ranked between regions.

DISCUSSION

The 3MT, followed by 5MT, overall had the strongest PORH response, suggesting a heightened protection against ischemia compared to other regions.

CONCLUSION

This work highlights regional variations within a healthy foot, providing a framework for future ulcer risk assessments and interventions to preserve foot health.

TrkB Agonist (7,8-DHF)-Induced Responses in Dorsal Root Ganglia Neurons Are Decreased after Spinal Cord Injury: Implication for Peripheral Pain Mechanisms

Brain-derived neurotrophic factor (BDNF) and tropomyosin receptor kinase B (TrkB) are known to contribute to both protective and pronociceptive processes. However, their contribution to neuropathic pain after spinal cord injury (SCI) needs further investigation. In a recent study utilizing TrkBF616A mice, it was shown that systemic pharmacogenetic inhibition of TrkB signaling with 1NM-PP1 (1NMP) immediately after SCI delayed the onset of pain hypersensitivity, implicating maladaptive TrkB signaling in pain after SCI. To examine potential neural mechanisms underlying the behavioral outcome, patch-clamp recording was performed in small-diameter dissociated thoracic (T) dorsal root ganglia (DRG) neurons to evaluate TrkB signaling in uninjured mice and after T10 contusion SCI. Bath-applied 7,8-dihydroxyflavone (7,8-DHF), a selective TrkB agonist, induced a robust inward current in neurons from uninjured mice, which was attenuated by 1NMP treatment. SCI also decreased 7,8-DHF-induced current while increasing the latency to its peak amplitude. Western blot revealed a concomitant decrease in TrkB expression in DRGs adjacent to the spinal lesion. Analyses of cellular and membrane properties showed that SCI increased neuronal excitability, evident by an increase in resting membrane potential and the number of spiking neurons. However, SCI did not increase spontaneous firing in DRG neurons. These results suggest that SCI induced changes in TrkB activation in DRG neurons even though these alterations are likely not contributing to pain hypersensitivity by nociceptor hyperexcitability. Overall, this reveals complex interactions involving TrkB signaling and provides an opportunity to investigate other, presumably peripheral, mechanisms by which TrkB contributes to pain hypersensitivity after SCI.

Haptic Perception and Its Relation to Action

Haptic perception uses signals from touch receptors to detect, locate, and mentally represent objects and surfaces. Research from behavioral science, neuroscience, and computational modeling advances understanding of these essential functions. Haptic perception is grounded in neural circuitry that transmits external contact to the brain via increasingly abstracted representations. Computational models of mechanical interactions at the skin predict peripheral neural firing rates that initiate the processing chain. Behavioral phenomena and associated neural processes illustrate the reciprocal relationship by which perception supports action and action gates experience. The interaction of sensation and action is evident in how features of surfaces and objects such as softness and curvature are encoded. By incorporating touch sensations in conjunction with motor control, biologically embedded prosthetics enhance user capabilities and may elicit feelings of ownership. Efforts to create virtual haptic experience with advanced technologies underscore the complexity of this fundamental perceptual channel and its relation to action.

The Clinical Effects of C2 and C3 Medial Branch Block for Medically Intractable Headache : a Retrospective Study

OBJECTIVE

This study aimed to evaluate the clinical effects of medial branch blocks (MBBs) C2 and C3 in treating patients with medically intractable headaches.

METHODS

The medical records of 81 patients with medically intractable headaches who underwent a C2/3 MBB between January 2019 and March 2022 were retrospectively reviewed. The degrees of pain were evaluated using a Visual analogue scale (VAS) score (rating 0-10) on baseline and after procedures. To evaluate patients' satisfaction for the treatment, self-reporting measurements were examined and were categorized as excellent (>90% pain relief), good (50-90% pain relief), fair (10-50% pain relief), and none (<10% pain relief).

RESULTS

The total number of MBB procedure was 107. The average baseline VAS score was 7.4±1.5, which improved significantly to 2.6±2.3, 3.6±2.6, and 4.5±3.2 on 1-3 days, 3-7 days, and 3 months after the procedure, respectively (Wilks' lambda within group test, p<0.001). For the subjective feeling of pain relief, percentages of "excellent" response in the self-reporting measurements were significantly decreased over time (chi-square test; p=0.001).

CONCLUSION

This study demonstrates clinical effectiveness of C2/3 MBB in patients with medically intractable headaches, with both early and prolonged benefits.

Decoding transcriptional identity in developing human sensory neurons and organoid modeling

Dorsal root ganglia (DRGs) play a crucial role in processing sensory information, making it essential to understand their development. Here, we construct a single-cell spatiotemporal transcriptomic atlas of human embryonic DRG. This atlas reveals the diversity of cell types and highlights the extrinsic signaling cascades and intrinsic regulatory hierarchies that guide cell fate decisions, including neuronal/glial lineage restriction, sensory neuron differentiation and specification, and the formation of neuron-satellite glial cell (SGC) units. Additionally, we identify a human-enriched NTRK3+/DCC+ nociceptor subtype, which is involved in multimodal nociceptive processing. Mimicking the programmed activation of signaling pathways in vivo, we successfully establish functional human DRG organoids and underscore the critical roles of transcriptional regulators in the fate commitment of unspecialized sensory neurons (uSNs). Overall, our research elucidates the multilevel signaling pathways and transcription factor (TF) regulatory hierarchies that underpin the diversity of somatosensory neurons, emphasizing the phenotypic distinctions in human nociceptor subtypes.

The Dual Roles of Lamin A/C in Macrophage Mechanotransduction

Cellular mechanotransduction is a complex physiological process that integrates alterations in the external environment with cellular behaviours. In recent years, the role of the nucleus in mechanotransduction has gathered increased attention. Our research investigated the involvement of lamin A/C, a component of the nuclear envelope, in the mechanotransduction of macrophages under compressive force. We discovered that hydrostatic compressive force induces heterochromatin formation, decreases SUN1/SUN2 levels, and transiently downregulates lamin A/C. Notably, downregulated lamin A/C increased nuclear permeability to yes-associated protein 1 (YAP1), thereby amplifying certain effects of force, such as inflammation induction and proliferation inhibition. Additionally, lamin A/C deficiency detached the linker of nucleoskeleton and cytoskeleton (LINC) complex from nuclear envelope, consequently reducing force-induced DNA damage and IRF4 expression. In summary, lamin A/C exerted dual effects on macrophage responses to mechanical compression, promoting certain outcomes while inhibiting others. It operated through two distinct mechanisms: enhancing nuclear permeability and impairing intracellular mechanotransmission. The results of this study support the understanding of the mechanisms of intracellular mechanotransduction and may assist in identifying potential therapeutic targets for mechanotransduction-related diseases.

Divergent neural circuits for proprioceptive and exteroceptive sensing of the Drosophila leg

Somatosensory neurons provide the nervous system with information about mechanical forces originating inside and outside the body. Here, we use connectomics from electron microscopy to reconstruct and analyze neural circuits downstream of the largest somatosensory organ in the Drosophila leg, the femoral chordotonal organ (FeCO). The FeCO has been proposed to support both proprioceptive sensing of the fly's femur-tibia joint and exteroceptive sensing of substrate vibrations, but it was unknown which sensory neurons and central circuits contribute to each of these functions. We found that different subtypes of FeCO sensory neurons feed into distinct proprioceptive and exteroceptive pathways. Position- and movement-encoding FeCO neurons connect to local leg motor control circuits in the ventral nerve cord (VNC), indicating a proprioceptive function. In contrast, signals from the vibration-encoding FeCO neurons are integrated across legs and transmitted to mechanosensory regions in the brain, indicating an exteroceptive function. Overall, our analyses reveal the structure of specialized circuits for processing proprioceptive and exteroceptive signals from the fly leg. These findings are consistent with a growing body of work in invertebrate and vertebrate species demonstrating the existence of specialized limb mechanosensory pathways for sensing external vibrations.

Peripheral neuropathy, an independent risk factor for falls in the elderly, impairs stepping as a postural control mechanism: A case-cohort study

BACKGROUND/AIMS

Peripheral neuropathies perturbate the sensorimotor system, causing difficulties in walking-related motor tasks and, eventually, falls. Falls result in functional dependency and reliance on healthcare, especially in older persons. We investigated if peripheral neuropathy is a genuine risk factor for falls in the elderly and if quantification of postural control via posturography is helpful in identifying subjects at risk of falls.

METHODS

Seventeen older persons with a clinical polyneuropathic syndrome of the lower limbs and converging electrophysiology were compared with 14 older persons without polyneuropathy. All participants were characterized via quantitative motor and sensory testing, neuropsychological assessment, and self-questionnaires. Video-nystagmography and caloric test excluded vestibulocochlear dysfunction. For further analysis, all subjects were stratified into fallers and non-fallers. Overall, 28 patients underwent computerized dynamic posturography for individual fall risk assessment. Regression analyses were performed to identify risk factors and predictive posturography parameters.

RESULTS

Neuropathy is an independent risk factor for falls in the elderly, while no differences were observed for age, gender, weight, frailty, DemTect test, timed "Up & Go" test, and dizziness-related handicap score. In computerized dynamic posturography, fallers stepped more often to regain postural control in challenging conditions, while the Rhythmic Weight Shift test showed a lack of anterior-posterior bidirectional voluntary control.

INTERPRETATION

Our study confirms peripheral neuropathy as a risk factor for older persons' falls. Fallers frequently used stepping to regain postural control. The voluntary control of this coping movement was impaired. Further investigations into these parameters' value in predicting the risk of falls in the elderly are warranted.

The impact of aging on HIV-1-related neurocognitive impairment

Depending on the population studied, HIV-1-related neurocognitive impairment is estimated to impact up to half the population of people living with HIV (PLWH) despite the availability of combination antiretroviral therapy (cART). Various factors contribute to this neurocognitive impairment, which complicates our understanding of the molecular mechanisms involved. Biological aging has been implicated as one factor possibly impacting the development and progression of HIV-1-related neurocognitive impairment. This is increasingly important as the life expectancy of PLWH with virologic suppression on cART is currently projected to be similar to that of individuals not living with HIV. Based on our increasing understanding of the biological aging process on a cellular level, we aim to dissect possible interactions of aging- and HIV-1 infection-induced effects and their role in neurocognitive decline. Thus, we begin by providing a brief overview of the clinical aspects of HIV-1-related neurocognitive impairment and review the accumulating evidence implicating aging in its development (Part I). We then discuss potential interactions between aging-associated pathways and HIV-1-induced effects at the molecular level (Part II).

Test-retest and inter-rater reliability of two devices measuring tactile mechanical detection thresholds in healthy adults: Semmes-Weinstein monofilaments and the cutaneous mechanical stimulator

INTRODUCTION/AIMS

Limitations exist in evaluating mechanical detection thresholds (MDTs) due to a lack of dependable electronic instruments designed to assess Aβ fibers and measure MDTs across different body areas. This study aims to evaluate the test-retest and inter-rater reliability of the cutaneous mechanical stimulator (CMS), an electronic tactile stimulator, in quantifying MDTs.

METHODS

Using a test-retest design, participants underwent assessments of MDTs using Semmes-Weinstein monofilaments (SWM) and the CMS. This study included 27 healthy volunteers (mean age 24.07 ± 3.76 years). Two raters assessed MDTs using SWM and the CMS at two stimulation sites (the left hand and foot) in two experimental sessions approximately 2 weeks apart.

RESULTS

MDTs using SWM and the CMS showed excellent reliability on the hand (intraclass correlation coefficient [ICC] = .84) and foot (ICC = .90). A comparison of results obtained at the two sessions showed that MDTs on the hand displayed good reliability for both SWM (ICC = .63) and the CMS (ICC = .73), whereas MDTs on the foot displayed fair reliability for SWM (ICC = .50) and the CMS (ICC = .42). MDTs exhibited good inter-rater reliability with SWM (ICC = .66) and excellent inter-rater reliability with the CMS (ICC = .82) on the hand, as well as showing fair inter-rater reliability with SWM (ICC = .53) and good inter-rater reliability with the CMS (ICC = .60) on the foot.

DISCUSSION

The CMS showed superior inter-rater reliability, indicating its potential as a valuable tool for assessing tactile sensitivity in research and clinical settings.