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Brain–computer interfaces using motor imagery (MI-BCIs) offer a promising noninvasive communication pathway between humans and engineered equipment such as robots. However, for MI-BCIs based on electro encephalography (EEG) the reliability of the interface acr…
preprints
2025
置信度 0.74
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Electroencephalography-based motor imagery (EEG-MI) classification is a cornerstone of Brain-Computer Interface (BCI) systems, enabling the identification of motor intentions by decoding neural patterns within EEG signals. However, conventional methods, predom…
preprints
2025
置信度 0.74
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Rationale The neurophysiological basis of motor imagery (MI) is foundational to Brain-Computer Interface (BCI) development. While BCI decoding relies on local sensorimotor rhythms (SMRs), MI itself is a large-scale network process. It is an open, and clinicall…
preprints
2025
置信度 0.74
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High-performance musical instrument training is a demanding discipline that engages cognitive, neurological, and physical skills. Professional musicians invest substantial time and effort into mastering repertoire and developing the muscle memory and reflexes …
preprints
2025
置信度 0.74
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Reliable decoding of motor imagery (MI) from electroencephalographic signals remains a challenging problem due to their nonlinear, noisy, and non-stationary nature. To address this issue, this work proposes an end-to-end deep learning model, termed TEKTE-Net, …
preprints
2025
置信度 0.74
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Neural interfacing materials must deliver exceptional electrochemical performance, while integrating safely with the central nervous system. In this study we develop PolyGraph, a flexible, conductive, and biocompatible graphene-polycaprolactone (PCL) nanocompo…
preprints
2025
置信度 0.74
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Objective To explore the current research status and future development trend of artificial intelligence in neurorehabilitation. Methods To collect and organize the literature on AI in neurorehabilitation from the core collection of Web of Science (WOS) databa…
preprints
2025
置信度 0.74
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The Kalman filter has been introduced to the motor brain-machine interface (BMI) field for over 20 years and remains one of the most widely used models due to its simple and intuitive nature. However, this paper demonstrates that the application of Kalman filt…
preprints
2025
置信度 0.74
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This paper presents an approach of combining Electroencephalography (EEG) and Electromyography (EMG) signals to create a hybrid Brain Interface Computer (BCI) device for controlling a hand exoskeleton through classifying the flexion attempt and resting states …
preprints
2025
置信度 0.74
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Abstract The field of biomedical signal analysis for the development of Brain Computer Interface(BCI) has seen significant improvement recently through the development of modern Deep Learning Algorithms. The Electroencephalogram(EEG) signal is non-stationary, …
preprints
2025
置信度 0.74
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Real-time brain monitoring for neurosurgery and neuroscience research of natural behaviors demands portable imaging with high spatiotemporal resolution. Current technologies cannot simultaneously achieve the resolution, mobility, and real-time performance requ…
preprints
2025
置信度 0.74
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High-performance musical instrument training is a demanding discipline that engages cognitive, neurological, and physical skills. Professional musicians invest substantial time and effort into mastering repertoire and developing the muscle memory and reflexes …
preprints
2025
置信度 0.74
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ABSTRACT Real-time functional magnetic resonance imaging neurofeedback (rt-fMRI-NF) is a promising non-invasive brain-computer-interface (BCI) technique for enhancing self-regulation of affective states in the brain. However, conventional univariate rt-fMRI-NF…
preprints
2025
置信度 0.74
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Functional ultrasound (fUS) imaging provides brain-wide activity maps with high spatiotemporal resolution and deep penetration, positioning it as a key technology for future non-invasive brain-computer interfaces (BCIs). Realizing this potential, particularly …
preprints
2025
置信度 0.74
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ABSTRACT Amyotrophic lateral sclerosis (ALS), a progressive neurodegenerative disease, severely impairs communication, requiring assistive technologies that restore interaction. The P300 speller brain-computer interface (BCI) enables communication by translati…
preprints
2025
置信度 0.74
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Populations of neurons in motor cortex signal voluntary movement. Most classic neural encoding models and current brain-computer interface decoders assume individual neurons sum together along a neural dimension to represent movement features such as velocity …
preprints
2025
置信度 0.74
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Events and objects are two fundamental ways in which humans conceptualize their experience of the world. Despite the significance of this distinction for human cognition, it remains unclear whether the neural representations of object and event concepts are ca…
preprints
2025
置信度 0.74
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This study investigated event-related potential (ERP) markers—specifically P3 and Contingent Negative Variation (CNV)—elicited during the mental selection of motivational pictograms representing fundamental human needs, aiming to inform brain–computer interfac…
preprints
2025
置信度 0.74
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The computation-through-dynamics perspective argues that biological neural circuits process information via the continuous evolution of their internal states. Inspired by this perspective, Latent Factor Activity using Dynamical systems (LFADS, [1]) identifies …
preprints
2025
置信度 0.74
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This paper presents a low-cost brain-computer interface integrated with an SDK for a mobile application. The system features an 8-channel device based on the ADC1299, with data transmitted via Bluetooth from an STM32 microcontroller. The device is specifically…
preprints
2025
置信度 0.74
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Advances in brain-computer interface technology seek to enable nuanced control of neural activity patterns. This study demonstrates a framework combining artificial intelligence and high-resolution optical sensing to identify and modulate intricate signaling d…
preprints
2025
置信度 0.74
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Restoring sensorimotor function in individuals with severe paralysis remains an important challenge in the field of medicine. Here we show, for the first time, an individual with severe upper-limb sensorimotor impairment can interact with real-world objects th…
preprints
2025
置信度 0.74
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Spinal cord injury (SCI) affects millions worldwide, with over half of all cases resulting in tetraplegia, where a complete injury can cause profound motor and sensory loss in all four limbs 1 . Here, we demonstrate an artificial ‘double neural bypass’ (DNB) t…
preprints
2025
置信度 0.74
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Background: Decoding inner speech from non-invasive electroencephalogram (EEG) signals presents a promising direction for advancing brain-computer interface technologies. However, this remains a highly challenging task because of factors such as the inherently…
preprints
2025
置信度 0.74
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Electroencephalography (EEG) signals, particularly those elicited by auditory stimuli, provide a rich window into both cognitive processing and physiological traits. This dual nature makes auditory-evoked EEG highly promising for diverse applications ranging f…
preprints
2025
置信度 0.74
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Abstract Background Motor imagery (MI) is a widely used paradigm in brain-computer interface (BCI) research due to its potential applications in areas such as motor rehabilitation. However, as a purely cognitive process without actual physical execution, MI of…
preprints
2025
置信度 0.74
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Abstract Movement decoding from invasive human recordings typically relies on a distributed system employing advanced machine learning algorithms programmed into an external computer for state classification. These brain-computer interfaces are limited to shor…
preprints
2025
置信度 0.74
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Humans are inherently driven to build meaningful relationships, but attempts to socially connect with others are not always successful. This study investigates whether social connectedness can be improved by intentionally regulating inter-brain coupling, a neu…
preprints
2025
置信度 0.74
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ABSTRACT Decision-making is an essential cognitive function. It can be impaired due to a number of neurological and psychiatric disorders as well as external factors such as time pressure or stress. To assist users during decision-making, we propose a decision…
preprints
2025
置信度 0.74
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Abstract In recent years, the non-invasive method of Electroencephalography (EEG) has gained widespread acceptance as a means of using computers to comprehend the intricate psychological behaviour of the human mind. The study of brain-computer interface via EE…
preprints
2025
置信度 0.74
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Abstract Understanding brain function is one of the most challenging areas in brain signal processing. This study introduces a novel framework for electroencephalography (EEG) signal classification based on distributed adaptive networks using diffusion strateg…
preprints
2025
置信度 0.74
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ABSTRACT Movement decoding from invasive human recordings typically relies on a distributed system employing advanced machine learning algorithms programmed into an external computer for state classification. These brain-computer interfaces are limited to shor…
preprints
2025
置信度 0.74
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Haptic feedback can play a useful role in rehabilitation and brain-computer interface applications by providing users with information about their system or performance. One challenge delivering tactile stimulation is not knowing how the haptic sensation is ac…
preprints
2025
置信度 0.74
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Lexical processing is a core cognitive function involving the integration of semantic and symbolic information across distributed brain networks. In this study, we investigate the spatial dynamics and functional connectivity underlying lexical categorization u…
preprints
2025
置信度 0.74
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ABSTRACT Studies employing and evaluating hearing-aid self-adjustments frequently label the resulting settings as “preferences” without questioning that label. There is a lack of inquiries into the rationale behind participants’ choices or their approach to se…
europepmc
2026
置信度 0.80
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Background: Museums are increasingly being recognized not only as cultural institutions but also as potential resources for enhancing psychological well-being. Prior research has shown that museum visits can reduce stress and anxiety, yet there is a pressing n…
preprints
2025
置信度 0.74
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Spinal cord injury (SCI) disrupts descending motor pathways, leaving individuals with tetraplegia dependent on residual neural connections to generate voluntary movement, with limited recovery despite extensive rehabilitation. Epidural spinal cord stimulation …
preprints
2025
置信度 0.74
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Developing individualized spatial models that capture the complex dynamics of multi-electrode EEG data is essential for accurately decoding global neural activity. A widely used approach is network modeling, where electrodes are represented as nodes. A key cha…
preprints
2025
置信度 0.74
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Motor Imagery (MI) classification plays a crucial role in enhancing the performance of brain-computer interface (BCI) systems, thereby enabling advanced neurorehabilitation and the development of intuitive brain-controlled technologies. However, MI classificat…
preprints
2025
置信度 0.74
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How can one trace the brain’s orderly directed signals amid a tangle of nerve fibers? Because direct access to actual brain signaling is rare in humans, the precise wiring diagrams for cortico-limbic communication during sleep and wake remain essentially unmap…
preprints
2025
置信度 0.74
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Background: Pain is a complex experience that significantly impacts on the quality of life of many older adults. Recognizing, assessing, and managing pain in this population is crucial, as untreated or undertreated pain can lead to decreased mobility, social i…
preprints
2025
置信度 0.74
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Spinal health depends on the dynamic interplay between mechanical forces, biochemical signaling, and cellular behavior. In this review, we explore how key molecular pathways, including integrin, YAP and TAZ, Piezo, and Wnt with beta-catenin, actively shape the…
preprints
2025
置信度 0.74
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In neurofeedback training, select neurons – of the billions that comprise the brain – are able to adapt their activity to produce a desired behavior, even though the feedback signal is low-dimensional. However, the extent that individual neurons are able to al…
preprints
2025
置信度 0.74
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Mesoscopic functional brain mapping is essential to better understanding of various brain functions and dysfunctions. However, accessing distributed neural circuits in mammalian brain regions remains a significant challenge. While fiber photometry is a versati…
preprints
2025
置信度 0.74
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This paper presents an analysis of the severity of alcohol use disorder (AUD) based on electroencephalogram (EEG) signals and alcohol drinking experiments by utilizing power spectral density (PSD) and the transitions that occur as individuals drink alcohol in …
preprints
2025
置信度 0.74
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Studying the brain in motion promises deep insights into the neural circuits that support complex, real-world behaviour. In humans, wearable optically pumped magnetometers (OPMs) enable magnetoencephalography (MEG) with millisecond temporal resolution and mill…
preprints
2026
置信度 0.74
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Sensory neural coding, the brain’s process of transforming inputs into informative patterns of neural activity, generates complex and multiplexed neural codes which are hard to interpret. Although decoding methods have facilitated the interpretation of these c…
preprints
2025
置信度 0.74
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Objective Our goal was to create open-source software for closed-loop EEG–TMS that allows researchers to rapidly prototype and develop novel stimulation paradigms in a high-level programming language. This addresses the limitations of current solutions, which …
preprints
2025
置信度 0.74
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Abstract P300 speller brain computer interfaces (BCIs) allow users to compose sentences by selecting target keys on a graphical user interface (GUI) through the detection of P300 component in their electroencephalogram (EEG) signals following visual stimuli. M…
preprints
2025
置信度 0.74
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Single-cell RNA sequencing (scRNA-seq) cell annotation techniques rely on the matching of known defining marker genes to a given cell population. However, these methods may lack robustness to dynamic fluctuations in cell marker expression between patients, sam…
preprints
2026
置信度 0.74
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Mental imagery is a hallmark of human cognition, yet the neural mechanisms underlying these internal states remain poorly understood. Speech imagery—the internal simulation of speech without overt articulation—has been proposed to partially share neural substr…
preprints
2025
置信度 0.74
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Brain-Computer Interfaces (BCI) have catalyzed advancements in both clinical applications and basic neuroscience research. However, technical barriers such as steep learning curves and complex synchronization requirements often impede their widespread adoption…
preprints
2025
置信度 0.74
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In experimental biomedical research, a common concern is whether a manipulation produces a biologically meaningful effect. Another concern is whether effect sizes are reliable, statistically significant, and generalizable. Traditional effect size measures, suc…
preprints
2025
置信度 0.74
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Abstract Brain-Computer Interface (BCI) represents a cutting-edge area of research that integrates neuroscience, engineering, and computer science to establish direct communication links between the human brain and external systems. BCI-based technologies hold…
preprints
2025
置信度 0.74
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Abstract Brain-Computer Interface (BCI) applications provide a direct way to map human brain activity onto the control of external devices, without a need for physical movements. These systems, crucial for medical applications and also useful for non-medical a…
preprints
2025
置信度 0.74
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Abstract Purpose : The paper addresses the increasing prevalence of mental health challenges, such as stress, anxiety, and depression, highlighting the need for innovative solutions that integrate technology with personalized therapy. It aims to develop a syst…
preprints
2025
置信度 0.74
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Abstract In this study, a Mahalanobis distance based common spatial pattern (CSP)model (MD-CSP) was proposed and its performance applied to brain-computer interface (BCI) and motor imagery EEG signal processing was evaluated. Since EEG signals are often affect…
preprints
2025
置信度 0.74
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Subdural electrode arrays have traditionally been used for epilepsy monitoring and surgical planning. With the emergence of brain-computer interface (BCI) applications, these arrays are now being explored for chronic use, leveraging their ability to record sub…
preprints
2025
置信度 0.74
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Resolving the underlying mechanisms of complex brain functions and associated disorders remains a major challenge in neuroscience, largely due to the difficulty in mapping large-scale neural network dynamics with high temporal and spatial resolution. Multimoda…
preprints
2025
置信度 0.74
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A Markov chain (MC) is a mathematical model used to describe a system where the probability of moving to the next state depends solely on the current state and not on the sequence of the preceding states. A Markov blanket (MB) for a node includes its parents, …
preprints
2025
置信度 0.74
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Recognizing keyboard typing as a familiar, high information rate communication paradigm, we developed an intracortical brain computer interface (iBCI) typing neuroprosthesis providing bimanual QWERTY keyboard functionality for people with paralysis. Typing wit…
preprints
2025
置信度 0.74
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Abstract Background Brain-computer interface (BCI) is used in stroke rehabilitation to match brain activity with contingent feedback to establish closed-loop pathways and provide a measure of neuroplasticity changes of patients. However, most studies assessed …
preprints
2025
置信度 0.74
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Human behavior evokes cortical responses that are highly variable across individuals, challenging the existence of a shared informational architecture, previously reported in animal studies. Here, using 7-Tesla fMRI and Procrustean transformation, we show that…
preprints
2025
置信度 0.74
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Brain Computer Interface (BCI) technology is recently being spotlighted as the performance of Artificial Intelligence (AI) increased drastically. Although there are several instruments to measure brain's activity, Electroencephalography(EEG) signal is in limel…
preprints
2025
置信度 0.74
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Abstract Brain Computer Interface (BCI) technology is recently being spotlighted as the performance of Artificial Intelligence (AI) increased drastically. Although there are several instruments to measure brain's activity, Electroencephalography(EEG) signal is…
preprints
2025
置信度 0.74
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Electroencephalography (EEG) is a cornerstone in both neuroscience research and clinical diagnostics. However, conventional EEG monitoring faces hardware limitations, particularly its adaptability and stability. Headsets either require complicated wiring or do…
preprints
2025
置信度 0.74
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The hippocampus is a key structure within the medial temporal lobe which plays a central role in the formation and consolidation of declarative memories. Despite technological progress, a full understanding of hippocampal rhythms, neuronal population activity,…
preprints
2026
置信度 0.74
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Objective Current transcranial magnetic stimulation (TMS) protocols exhibit high inter-subject variability in treatment outcomes, highlighting the need for personalized, brain-state-dependent closed-loop stimulation protocols. To enable such protocols, we aim …
preprints
2025
置信度 0.74
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Visual hallucinations (VHs) occur across psychedelic states and diverse psychiatric and neurological conditions, yet their phenomenology remains difficult to characterise. Empirical research on VHs is hindered by the lack of large-scale phenomenological datase…
preprints
2026
置信度 0.74
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Abstract Background. Brain/neural hand exoskeletons (B/NHEs) can restore motor function after severe stroke, enabling bimanual tasks critical for various activities of daily living (ADL). Yet, reliable clinical tests for assessing bimanual function compatible …
preprints
2025
置信度 0.74
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Abstract Thrombotic lesions are a leading cause of death and disability worldwide, yet existing thrombolytic therapies suffer from limited efficacy and high risk of hemorrhagic complications. We present a biodegradable microrobotic system composed of hydroxyap…
preprints
2026
置信度 0.74
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Abstract Accurate fetal growth assessment from ultrasound (US) relies on precise biometry measured by manually identifying anatomical landmarks in standard planes. Manual landmarking is time-consuming, operator-dependent, and sensitive to variability across sc…
preprints
2026
置信度 0.74
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This paper introduces a modular sensing platform for wearable electroencephalography (EEG) recordings. The platform is conceived as a wireless EEG sensor network (WESN), consisting of multiple miniaturized, wireless EEG sensor nodes that synchronously collect …
preprints
2025
置信度 0.74
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Functional ultrasound imaging (fUSI) enables brain-wide mapping of hemodynamic activity in awake rodents, offering a powerful bridge between systems neuroscience in animals and human neuroimaging. However, extending fUSI beyond tightly controlled sensory parad…
preprints
2026
置信度 0.74
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Topographic organization, whereby neighboring cortical locations encode neighboring features in sensory or cognitive space, is a fundamental principle of brain function. Existing approaches for obtaining individual-specific topographic maps either require reso…
preprints
2025
置信度 0.74
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This study presents the development and analysis of a silicon microneedle electrode array fabricated using a streamlined, two-step approach for enhanced bio-signal recording applications. Numerical simulations with COMSOL Multiphysics were employed to optimize…
preprints
2025
置信度 0.74
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Bioelectronic implants for neurostimulation aim to steer disordered neurophysiological processes back towards a healthy state. However, physiology is subject to biological rhythms, including the circadian rhythm and the sleep-wake cycle. These predictable rhyt…
preprints
2025
置信度 0.74
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We introduce BoltzGen , an all-atom generative model for designing proteins and peptides across all modalities to bind a wide range of biomolecular targets. BoltzGen builds strong structural reasoning capabilities about target-binder interactions into its gene…
preprints
2025
置信度 0.74
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Abstract Hyperdimensional computing (HDC) addresses massively parallel implementations of symbolic computations that are both more transparent than ANNs and LLMs and more suitable for in-memory computing on highly energy-efficient analog hardware. It captures …
preprints
2025
置信度 0.74
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In order to understand the constantly changing acoustic world our brains must maintain elements of auditory scenes in memory. The neural mechanisms for this fundamental process remain unclear. Here, we report human intracranial recordings of 1269 single neuron…
preprints
2025
置信度 0.74
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Behavioral analysis is fundamental to neuroscience, yet the manual annotation of actions remains a bottleneck that constrains both the scale and the reproducibility of experiment. Here, we present DLC2Action, an open-source Python toolbox that enables automati…
preprints
2025
置信度 0.74
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Abstract Numerous factors interfere with the successful transmission of messages during verbal conversations leading speakers to use different speech modes, i.e. specific prototypes of speech with unique phonatory and articulatory characteristics. Despite thei…
preprints
2025
置信度 0.74
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Short tandem repeats (STRs) are highly abundant in the human genome and their age-related somatic instability is emerging as a pivotal pathomechanism in repeat expansion disorders. Nevertheless, currently no analysis tool exists for genome-wide profiling of ST…
preprints
2025
置信度 0.74
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As brain activity is tightly coupled to behavior, an accurate understanding of neural function necessitates consideration of behavioral tasks that capture the complexity and variety animals encounter. Nevertheless, animal training for behavioral experiments is…
preprints
2025
置信度 0.74
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Determining the optimal stimulation target for motor responses (motor hotspot) and the required intensity for reliably eliciting said responses (motor threshold) are common procedures in transcranial magnetic stimulation (TMS) research and treatments. However,…
preprints
2025
置信度 0.74
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Controlling an extra robotic finger requires the brain to adapt existing motor signals. While most current strategies exploit physical movement, there is growing interest in harnessing muscle activity directly via surface electromyography (EMG) as a more seaml…
preprints
2025
置信度 0.74
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Speech-based brain-computer interfaces (BCIs) can offer an intuitive means of communication for those who have lost the ability to speak due to paralysis. Significant progress has been made in classifying individual words from high numbers of electrocorticogra…
preprints
2025
置信度 0.74
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Human brain charts provide unprecedented opportunities for decoding neurodevelopmental milestones and establishing clinical benchmarks for precision brain medicine 1-7 . However, current lifespan brain charts are primarily derived from European and North Ameri…
preprints
2025
置信度 0.74
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Collective behaviours are a fascinating study area due to the emergent properties that can only arise in groups of interacting individuals. However, their quantitative study is often impaired by technical difficulties, creating either low-quality and sparse da…
preprints
2025
置信度 0.74
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Abstract Impaired CO₂ responsiveness in epilepsy can result in hypoventilation and hypercapnia and these respiratory disturbances are key contributors to Sudden Unexpected Death in Epilepsy (SUDEP). While mild to moderate inflammation is known to modulate resp…
preprints
2025
置信度 0.74
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High-density electrophysiology simultaneously captures the activity from hundreds of neurons, but isolating single-unit activity still relies on slow and subjective manual curation. As datasets keep increasing, this poses a major bottleneck in the field. We th…
preprints
2025
置信度 0.74
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Cephalopod chromatophores are small dermal neuromuscular organs, each consisting of a pigment-containing cell and 10-20 surrounding radial muscles. Their expansions and contractions, controlled and coordinated by the brain, are used to modify the animal’s appe…
preprints
2025
置信度 0.74
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Morphological switching in response to environmental stimuli is a well-known phenomenon in fungi, leading to diverse morphotypes. Microscopic observation remains a widely used approach to study these phenotypes. However, variation in sample preparation and ope…
preprints
2025
置信度 0.74
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Imitating the shape-encoded tactics of natural microswimmers—organisms that flip, roll, and rheotaxis through viscous fluids—could transform microfluidics, micromanufacturing, and targeted therapy. However, translating those geometric navigation cues into acti…
preprints
2025
置信度 0.74
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Understanding the tumor microenvironment (TME) requires experimental platforms that faithfully recapitulate its key components. Here, we present an innervated and vascularized head and neck squamous cell carcinoma (HNSCC)-on-a-chip platform built with fully de…
preprints
2026
置信度 0.74
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Abstract The rapid and complex nature of fetal development requires meticulous prenatal monitoring to ensure optimal pregnancy outcomes. Cardiotocography, which continuously records the fetal heart rate and uterine contractions, often leads to inaccurate diagn…
preprints
2025
置信度 0.74
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Chronic pain is a leading cause of disability, yet its underlying susceptibility traits remain unclear. Disorders like chronic pain may stem from extreme neural types, or archetypes, optimized for specific cognitive strategies and reflected in patterns of rest…
preprints
2025
置信度 0.74
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Animals can learn and seamlessly perform a great number of behaviors. However, it is unclear how neural activity can accommodate new behaviors without interfering with those an animal has already acquired. Recent studies in monkeys performing motor and brain-c…
preprints
2025
置信度 0.74
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With the emergence of gene and optogenetic therapies targeting deafness, the comprehensive analysis of the molecular anatomy and physiology of the cochlea has become ever more important. Here, we introduce CochleaNet, a deep learning-based framework to analyze…
preprints
2025
置信度 0.74
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Establishing reliable and time efficient pipelines for structural MRI segmentation, parcellation and surface reconstruction, is essential to explore the potential clinical applications of research-grade morphometry tools. The integration between deep-learning …
preprints
2025
置信度 0.74