Sense Research Articles

Modulation of mechanosensation by endogenous dopaminergic signaling in the lateral parabrachial nucleus in mice.

The lateral parabrachial nucleus (LPBN), a crucial hub for integrating and modulating diverse sensory information, is known to express both D1 and D2 dopamine receptors and receive dopaminergic inputs. However, the role of the LPBN's dopaminergic system in somatosensory processing remains largely unexplored. In this study, we investigated whether mechanical sensory stimulation triggers dopamine release in the LPBN and how D1- and D2-like receptor signaling in the LPBN influences mechanosensitivity in mice. We used a G-protein-coupled receptor-based dopamine sensor to monitor dopamine release in the LPBN and a von Frey filament assay to measure the mechanical threshold for nocifensive withdrawal in mouse hind paws after unilateral microinjection of D1- or D2-like receptor antagonist into the LPBN. Noxious mechanical stimulation increased the dopamine sensor signal in the LPBN. Thresholds of nocifensive withdrawal from mechanical stimulation were decreased by the D1-like receptor antagonist SCH-23390 (0.1 µg) but increased by the D2-like receptor antagonist eticlopride (1 µg). In the intraplantar capsaicin injection model that develops mechanical hypersensitivity in the injected paw, the dopamine sensor signal in the LPBN was increased, and eticlopride (1 µg) in the LPBN significantly inhibited the capsaicin-induced mechanical hypersensitivity. These results suggest that endogenous dopaminergic signaling occurs in the LPBN upon noxious mechanical stimulation, inhibiting mechanosensitivity through D1-like receptors while enhancing it through D2-like receptors. D2-like receptor signaling in the LPBN may contribute to an injury-induced increase in mechanical nociception, indicating that inhibiting the receptor within the LPBN could offer potential as a novel analgesic strategy.

Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data

Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data

From What Times Is This Place? Form as a Chronotope in the Architecture of Enric Miralles

In 1994, Enric Miralles published From what time is this place?, a brief text where the relationship between space and time is claimed through the form of the Igualada Cemetery Park and different conditions of time are considered. The title is presumably written after the book by Kevin Lynch What time is this place?, where the human sense of time and the relationship between the innate consciousness of time and place and the objective time of the world are addressed. Related to this concept arises the notion of the chronotope—from kronos, time, and topos, place; literally timeplace, defined by Mikhail Bakhtin as the intrinsic connectedness of spatial and temporal relationships assimilated in the artistic form. Approaching Miralles’ own words, this text examines the condition of architectural form as a chronotope in the Igualada Cemetery Park and in three of his projects to analyze, firstly, the strategies used and, secondly, the consequences of the connection of space and time in the form and in space and time themselves: the spatialization of time, temporalization of space, and temporalization of time. As a result, some reflections contribute to the contemporary debate on form in architecture as a spatiotemporal discipline: a chronotopic architecture.

Investigating Egocentric Tuning in Hippocampal CA1 Neurons.

Navigation requires integrating sensory information with a stable schema to create a dynamic map of an animal's position using egocentric and allocentric coordinate systems. In the hippocampus, place cells encode allocentric space, but their firing rates may also exhibit directional tuning within egocentric or allocentric reference frames. We compared experimental and simulated data to assess the prevalence of tuning to egocentric bearing (EB) among hippocampal cells in rats foraging in an open field. Using established procedures, we confirmed egocentric modulation of place cell activity in recorded data; however, simulated data revealed a high false-positive rate (FPR). When we accounted for false positives by comparing with shuffled data that retain correlations between the animal's direction and position, only a very low number of hippocampal neurons appeared modulated by EB. Our study highlights biases affecting FPRs and provides insights into the challenges of identifying egocentric modulation in hippocampal neurons.

Effects of Ball-Vests for Children Exhibiting Sensory Seeking Behaviour: A Pragmatic Randomized Controlled Trial

ABSTRACT Children with challenges processing sensory information can have difficulties affecting their ability to participate in school activities, which may affect their potential for learning. The aim of this study was to examine the possible effects of an intervention with three weeks use of ball-vests that provide proprioceptive-tactile stimulation for children exhibiting sensory seeking behaviour. Methods: The study was a pragmatic randomized controlled trial that included 142 children (105 boys and 37 girls, mean age 8.9 years) with dysfunction in sensory processing and sensory seeking behaviour. The children´s ability for attention was measured with the “Test of Everyday Attention-Children” (TEA-Ch), their occupational competence in school activities with the “Child Occupational Self-Assessment” (COSA) and the extent of off-task behaviour with the “Observational off-task Behavior among School-children” (OBS-Children). Data was analysed using linear mixed model regression. Results: Children in the intervention group had a significantly larger increase in self-assessed occupational competence than children in the control group (B = 5.78, p = 0.004). No differences regarding attention or extent of off-task behaviour between intervention and control group were found. Trial registration: ClinicalTrials.gov identifier: NCT04173871..

Toward Integrated Multifunctional Laser-Induced Graphene-Based Skin-Like Flexible Sensor Systems.

The burgeoning demands for health care and human-machine interfaces call for the next generation of multifunctional integrated sensor systems with facile fabrication processes and reliable performances. Laser-induced graphene (LIG) with highly tunable physical and chemical characteristics plays vital roles in developing versatile skin-like flexible or stretchable sensor systems. This Progress Report presents an in-depth overview of the latest advances in LIG-based techniques in the applications of flexible sensors. First, the merits of the LIG technique are highlighted especially as the building blocks for flexible sensors, followed by the description of various fabrication methods of LIG and its variants. Then, the focus is moved to diverse LIG-based flexible sensors, including physical sensors, chemical sensors, and electrophysiological sensors. Mechanisms and advantages of LIG in these scenarios are described in detail. Furthermore, various representative paradigms of integrated LIG-based sensor systems are presented to show the capabilities of LIG technique for multipurpose applications. The signal cross-talk issues are discussed with possible strategies. The LIG technology with versatile functionalities coupled with other fabrication strategies will enable high-performance integrated sensor systems for next-generation skin electronics.

Imaging Neural Activity in Intact, Semirestrained Drosophila Larvae.

The Drosophila larval nerve cord, which is the equivalent of the vertebrate spinal cord, houses the circuits required to process somatosensory stimuli (e.g., tactile, temperature, vibration, and self-movement) and generate the patterned muscle contractions underlying movement and behavior. Within this complex structure reside many cell types and cellular processes, making it difficult to experimentally access, when compared to peripheral parts of the nervous system (i.e., primary sensory neuron dendrites, motor neuron axons and synapses, and muscles). Additionally, the neurons in the larval nerve cord have small cell bodies, precluding traditional electrophysiological approaches. As such, the function of neurons in the nerve cord is less well studied than other parts of the nervous system, severely limiting our understanding of how larvae process sensory information and generate movement. Ca2+-sensitive fluorescent proteins enable the study of neuronal activity in live, genetically tractable animals, even those with small neuronal cell bodies. In addition, live imaging of neurons within the nerve cord in whole, intact animals is possible because larvae are translucent, and the use of intact animals allows for the peripheral sensory neuron circuits to remain intact. Ca2+-sensitive fluorescent proteins increase their fluorescence when voltage-gated Ca2+ channels are opened in depolarized neurons. Here, we describe an assay where a Ca2+-sensitive fluorescent protein (GCaMP6m) is expressed under the control of a GAL4 driver in a subset of neurons that reside in a circuit for vibration sensation. External vibration (sound) stimulates sensory neurons that activate the cells expressing the Ca2+-sensitive fluorescent protein. Visualization of the calcium-induced fluorescent signal with microscopy allows for quantification of neuronal activity.

From Science Fiction to Reality: Exploring Brain-Computer Interfaces and their Human Applications

Direct control of mechanical or electrical equipment through mental activity is made possible by brain-computer interfaces (BCIs), often referred to as brain-machine interfaces (BMIs). Using only brain signals, users of BCIs can operate external systems without using neurostimulators, which trigger neural tissues. This allows users to avoid using peripheral neurological and muscle systems. The brain's ability to incorporate and regulate mechanical devices as extensions of its own physiological processes is demonstrated by this capability.When it comes to helping those with severe impairments, BCI systems have a lot of potential uses. For people who suffer from neurological conditions like amyotrophic lateral sclerosis, brainstem stroke, or spinal cord injury who are completely paralyzed or "locked in," they provide a substantial benefit in terms of communication. By directly converting brain intent into executable commands, BCI technology aims to enable communication. This is especially helpful for those who are unable to speak.Neuroprosthetics, which attempt to restore lost motor and sensory functions, have been the main focus of BCI research and development. These systems make use of artificial devices to treat brain-related illnesses, take over for faulty nervous system functions, and compensate for compromised sensory organs. As this science develops, brain-computer interfaces (BCIs) have the potential to improve cognitive capacities and the quality of life for people with severe disabilities.

WiFi-Based Indoor Human Activity Sensing: A Selective Sensing Strategy and a Multilevel Feature Fusion Approach

WiFi-Based Indoor Human Activity Sensing: A Selective Sensing Strategy and a Multilevel Feature Fusion Approach

PERBANDINGAN OPTIMIZER, BATCH SIZE DAN EPOCH PADA METODE CONVOLUTION NEURAL NETWORK

Buffalo meat and beef are two types of red meat that are widely consumed by the public. The demand for meat increases every year. However, not all types of meat can be eaten by Indonesians, such as pork, so the price of pork in Indonesia is lower than the price of beef and buffalo. In general, the texture and colour of pork, beef and buffalo are almost the same. In the introduction of meat, it is only done directly from the colour, texture, and fibre of the type of meat. However, meat circulating in the community is often mixed between beef, buffalo meat and pork. Distinguishing beef, buffalo and pork must first recognise the characteristics of each type of meat, because there are limitations to the human sense of sight in distinguishing between them. In the use of technology with the help of digital images to determine the most optimal optimizer, batch size and epoch in meat classification, using the Convolutional Neural Network (CNN) method with NasNetmobil Architecture. The data set used is 3000 images divided into three classes, with a division of 2400 training data images, 300 testing data images, 300 validation data images. The results showed that the Adam optimiser, batch size 62 and epoch 20 produced an accuracy of 99.00% and a loss value of 0.0243. Keywords: Convolutional Neural Network, Buffalo and Beef Classification,

Effects of Haptic Feedback Interventions in Post-Stroke Gait and Balance Disorders: A Systematic Review and Meta-Analysis

Background: Haptic feedback is an established method to provide sensory information (tactile or kinesthetic) about the performance of an activity that an individual can not consciously detect. After a stroke, hemiparesis usually leads to gait and balance disorders, where haptic feedback can be a promising approach to promote recovery. The aim of the present study is to understand its potential effects on gait and balance impairments, both after interventions and in terms of immediate effects. Methods: This research was carried out using the following scientific databases: Embase, Scopus, Web of Science, and Medline/PubMed from inception to May 2024. The Checklist for Measuring quality, PEDro scale, and the Cochrane collaboration tool were used to assess the methodological quality and risk of bias of the studies. Results: Thirteen articles were chosen for qualitative analysis, with four providing data for the meta-analysis. The findings did not yield definitive evidence on the effectiveness of haptic feedback for treating balance and gait disorders following a stroke. Conclusions: Further research is necessary in order to determine the effectiveness of haptic feedback mechanisms, with larger sample sizes and more robust methodologies. Longer interventions and pre–post design in gait training with haptic feedback are necessary.

Distinct codes for environment structure and symmetry in postrhinal and retrosplenial cortices

Complex sensory information arrives in the brain from an animal’s first-person (‘egocentric’) perspective. However, animals can efficiently navigate as if referencing map-like (‘allocentric’) representations. The postrhinal (POR) and retrosplenial (RSC) cortices are thought to mediate between sensory input and internal maps, combining egocentric representations of physical cues with allocentric head direction (HD) information. Here we show that neurons in the POR and RSC of female Long-Evans rats are tuned to distinct but complementary aspects of local space. Egocentric bearing (EB) cells recorded in square and L-shaped environments reveal that RSC cells encode local geometric features, while POR cells encode a more global account of boundary geometry. Additionally, POR HD cells can incorporate egocentric information to fire in two opposite directions with two oppositely placed identical visual landmarks, while only a subset of RSC HD cells possess this property. Entorhinal grid and HD cells exhibit consistently allocentric spatial firing properties. These results reveal significant regional differences in the neural encoding of spatial reference frames.

NeuroART: Real-time analysis and targeting of neuronal population activity during calcium imaging for informed closed loop experiments.

Two-photon calcium imaging allows for the activity readout of large populations of neurons at single cell resolution in living organisms, yielding new insights into how the brain processes information. Holographic optogenetics allows us to trigger activity of this population directly, raising the possibility of injecting information into a living brain. Optogenetic triggering of activity that mimics "natural" information, however, requires identification of stimulation targets based on real-time analysis of the functional network. We have developed NeuroART (Neuronal Analysis in Real Time), software that provides real-time readout of neuronal activity integrated with downstream analysis of correlations and synchrony, and of sensory metadata. On the example of auditory stimuli, we demonstrate real-time inference of the contribution of each neuron in the field of view to sensory information processing. To avoid the limitations of microscope hardware and enable collaboration of multiple research groups, NeuroART taps into microscope data streams without the need for modification of microscope control software and is compatible with a wide range of microscope platforms. NeuroART also integrates the capability to drive a Spatial Light Modulator (SLM) for holographic photostimulation of optimal stimulation targets, enabling real-time modification of functional networks. Neurons used for photostimulation experiments were extracted from Sprague Dawley rat embryos of both sexes.Significance Statement We have developed a software platform, Neuronal Analysis in Real Time (NeuroART), which addresses the growing need in neuronal imaging studies for real-time analysis capabilities and has unique capabilities when compared to other recently developed software (Giovannucci, Friedrich et al. 2017, Mitani and Komiyama 2018, Zhang, Russell et al. 2018, Giovannucci, Friedrich et al. 2019, Sheng, Zhao et al. 2022). NeuroART stands out in its real-time inclusion of functional network analysis, correlation analysis, synchrony analysis, holographic optogenetic photostimulation, and integration of sensory information metadata. Furthermore, this tool enables experimenters to assess data quality in real-time. With these unique features and its demonstrated ability to work with several widely used microscope platforms, NeuroART is poised to enable novel closed-loop model guided experiments.

Opposing neural processing modes alternate rhythmically during sustained auditory attention

During continuous tasks, humans show spontaneous fluctuations in performance, putatively caused by varying attentional resources allocated to process external information. If neural resources are used to process other, presumably “internal” information, sensory input can be missed and explain an apparent dichotomy of “internal” versus “external” attention. In the current study, we extract presumed neural signatures of these attentional modes in human electroencephalography (EEG): neural entrainment and α-oscillations (~10-Hz), linked to the processing and suppression of sensory information, respectively. We test whether they exhibit structured fluctuations over time, while listeners attend to an ecologically relevant stimulus, like speech, and complete a task that requires full and continuous attention. Results show an antagonistic relation between neural entrainment to speech and spontaneous α-oscillations in two distinct brain networks—one specialized in the processing of external information, the other reminiscent of the dorsal attention network. These opposing neural modes undergo slow, periodic fluctuations around ~0.07 Hz and are related to the detection of auditory targets. Our study might have tapped into a general attentional mechanism that is conserved across species and has important implications for situations in which sustained attention to sensory information is critical.

Advanced Flexible Physical Sensors with Independent Detection Mechanisms of Pressure and Strain Stimuli for Overcoming Signal Interference.

Flexible and wearable physical sensors have gained significant interest owing to their potential in attachable devices, electronic skin, and multipurpose sensors. The physical stimuli of these sensors typically consist of vertically and horizontally applied pressures and strains, respectively. However, owing to their similar response characteristics, interference occurs between the two types of signals detected, complicating the distinction between pressure and strain stimuli, leading to inaccurate data interpretation and reduced sensor specificity. Therefore, we developed a dual-sensing-mode physical sensor with separate response mechanisms for the two types of physical stimuli based on a unique structural design that can independently induce changes in the piezocapacitance and piezoresistance for pressure and strain stimuli, respectively. The asterisk-shaped piezoresistive pathway (electrode), designed for multifunctionality, effectively detected the intensity and direction of tensile deformation, and an elastomeric sponge structure positioned between the two electrodes detected the pressure signals via changes in capacitance. This dual-sensing-mode sensor offers clearer signal differentiation and enhanced multifunctionality compared to those of traditional single-mode sensors. Additionally, extensive experimentation demonstrated that our sensor has a good sensitivity, high linearity, and stability in detecting signals, proving its applicability for sophisticated monitoring and control tasks that require the differential detection between pressure and deformation signals.

Role of Dinacharya w.s.r. to Abhyanga and Snana for skin health

In Ayurveda, the term "health" refers to equilibrium and harmony in every Dosha, Agni, Dhatu and Mala. It is not only confined to the absence of diseases, but also to maintain a person's mind, sense organs, and spirit in a perfect state of equilibrium in order to give happiness and maintain the heathy body. Ayurveda provides several health restoration methods, such as Dinacharya, Ritucharya, Achara Rasayana, and Sadvrata. In Ayurveda, the concept of Dinacharya (daily routine) encompasses a number of conduct that are extremely beneficial to the skin. Snana (bathing) and Abhyanga holds a significant place in Ayurveda as part of the Dinacharya. Abhyanga promotes the healing and regeneration of skin tissues. Abhyanga facilitates natural elimination of toxins from the body through the skin. Detoxification is greatly aided by the drainage system, which is stimulated by the massage. According to Ayurvedic principles, Snana is not just a means of physical cleanliness but also a vital practice for spiritual purification. Snana helps in maintaining skin health by keeping it clean and hydrated.

Presynaptic Nrxn3 is essential for ribbon-synapse maturation in hair cells.

Hair cells of the inner ear and lateral-line system rely on specialized ribbon synapses to transmit sensory information to the central nervous system. The molecules required to assemble these synapses are not fully understood. We show that Nrxn3, a presynaptic adhesion molecule, is critical for ribbon-synapse maturation in hair cells. In both mouse and zebrafish models, the loss of Nrxn3 results in significantly fewer intact ribbon synapses. We show in zebrafish that initially, nrxn3 mutants have normal pre- and post-synapse numbers, but synapses fail to pair, leading to postsynapse loss. We also demonstrate that Nrxn3 subtly influences synapse selectivity in zebrafish lateral-line hair cells that detect anterior flow. A 60% loss of synapses in zebrafish nrxn3 mutants dramatically reduces pre- and post-synaptic responses. Despite fewer synapses, auditory responses in zebrafish and mice are unaffected. This work demonstrates that Nrxn3 is a critical and conserved molecule required for the maturation of ribbon synapses. Understanding how ribbon synapses mature is essential to generating novel therapies to treat synaptopathies linked to auditory or vestibular dysfunction.

Vestibular Function and Postural Control in Children with Autism Spectrum Disorder.

Background: Postural control deficits have been documented in children with autism spectrum disorder (ASD), yet vestibular system contributions to postural control have not been widely considered. The purpose of this study is to explore the relationship between functional balance, postural sway, and vestibular function in children with ASD. Methods: Ten children with a confirmed diagnosis of ASD according to DSM-V guidelines along with ten children with no known neurodevelopmental or motor delays participated in the study. Bruininks-Oseretsky Test of Motor Proficiency and the Paediatric Balance Scale measured functional balance ability, and postural sway was measured using static posturography with modified sensory inputs. Peripheral vestibular function was measured using cervical vestibular evoked myogenic potentials and video head impulse testing. Correlations between measures were performed. Results: When visual cues were removed, children with ASD demonstrated larger path velocities indicative of reduced postural control, and different patterns of postural sway. Functional balance was correlated with path velocities for conditions where sensory information was modified. No differences in peripheral vestibular function were noted between groups, and functional balance was not correlated with vestibular function. Conclusions: Findings suggest that while peripheral vestibular function is similar between groups, postural control differences in children with ASD remain, particularly for conditions where sensory information is modified. Furthermore, demonstrated patterns of postural sway suggest sensory system integration is less developed in children with ASD. These findings highlight the importance of utilising a range of clinical tools to quantify balance ability and consideration of postural control measures to inform intervention.

One respiratory cycle as a minimum time unit for making behavioral decisions in the mammalian olfactory system

Voluntary behaviors such as sniffing, moving, and eating require decision-making accompanied by intentional respiration. Based on the study of respiration-coherent activity of rodent olfactory networks, we infer that during the inhalation phase of respiration, olfactory cortical areas process environmental odor information and transmit it to the higher multisensory cognitive areas via feedforward pathways to comprehensively evaluate the surrounding situation. We also infer that during the exhalation phase, the higher multisensory areas generate cognitive-signals and transmit them not only to the behavioral output system but also back to the olfactory cortical areas. We presume that the cortical mechanism couples the intentional respiration with the voluntary behaviors. Thus, in one respiratory cycle, the mammalian brain may transmit and process sensory information to cognize and evaluate the multisensory image of the external world, leading to one behavioral decision and one emotional expression. In this perspective article, we propose that one respiratory cycle provides a minimum time unit for decision making during wakefulness.

Use of the SNOWED Dataset for Sentinel-2 Remote Sensing of Water Bodies: The Case of the Po River.

The paper demonstrates the effectiveness of the SNOWED dataset, specifically designed for identifying water bodies in Sentinel-2 images, in developing a remote sensing system based on deep neural networks. For this purpose, a system is implemented for monitoring the Po River, Italy's most important watercourse. By leveraging the SNOWED dataset, a simple U-Net neural model is trained to segment satellite images and distinguish, in general, water and land regions. After verifying its performance in segmenting the SNOWED validation set, the trained neural network is employed to measure the area of water regions along the Po River, a task that involves segmenting a large number of images that are quite different from those in SNOWED. It is clearly shown that SNOWED-based water area measurements describe the river status, in terms of flood or drought periods, with a surprisingly good accordance with water level measurements provided by 23 in situ gauge stations (official measurements managed by the Interregional Agency for the Po). Consequently, the sensing system is used to take measurements at 100 "virtual" gauge stations along the Po River, over the 10-year period (2015-2024) covered by the Sentinel-2 satellites of the Copernicus Programme. In this way, an overall space-time monitoring of the Po River is obtained, with a spatial resolution unattainable, in a cost-effective way, by local physical sensors. Altogether, the obtained results demonstrate not only the usefulness of the SNOWED dataset for deep learning-based satellite sensing, but also the ability of such sensing systems to effectively complement traditional in situ sensing stations, providing precious tools for environmental monitoring, especially of locations difficult to reach, and permitting the reconstruction of historical data related to floods and draughts. Although physical monitoring stations are designed for rapid monitoring and prevention of flood or other disasters, the developed tool for remote sensing of water bodies could help decision makers to define long-term policies to reduce specific risks in areas not covered by physical monitoring or to define medium- to long-term strategies such as dam construction or infrastructure design.