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• Distinguishing the activity of adjacent somatosensory nuclei within the brainstem using 3T fMRI
  Experimental evidence in animal models indicates that the brainstem plays a major role in sensory modulation. However, mapping functional activity within the human brainstem presents many methodological challenges. These constraints have deterred essential res…
  preprints 2024 置信度 0.74
• WTools: a MATLAB-based toolbox for time-frequency analysis
  Electroencephalography (EEG) is an established method for investigating neurocognitive functions during human development. In cognitive neuroscience, time-frequency analysis of the EEG is a widely used analytical approach. This paper introduces WTools, a new M…
  preprints 2024 置信度 0.74
• Reliability of online, remote neuropsychological assessment in people with and without subjective cognitive decline
  Online, remote neuropsychological assessment paradigms may offer a cost-effective alternative to in-person assessment for people who experience subjective cognitive decline (SCD). However, it is vital to establish the psychometric properties of such paradigms.…
  preprints 2024 置信度 0.74
• Distinct representations of economic variables across regions and projections of the frontal cortex
  Summary Economic decision-making requires evaluating information about available options, such as their expected value and economic risk. Previous studies have shown that frontal cortical neurons encode these variables, but how this encoding is structured acro…
  preprints 2024 置信度 0.74
• Online46: online cognitive assessments in elderly cohorts - the British 1946 birth cohort case study
  ABSTRACT INTRODUCTION Online assessments are scalable and cost-effective for detecting cognitive changes, especially in elderly cohorts with limited mobility and higher vulnerability to neurological conditions. However, determining the uptake, adherence, and u…
  preprints 2024 置信度 0.74
• Visual objects refine head direction coding
  Animals use visual objects to guide navigation-related behaviors, from hunting prey, to escaping predators, to exploring the world. However, little is known about where visual objects are encoded in the mouse brain or how they impact processing in the spatial …
  preprints 2024 置信度 0.74
• Cambrian origin of the arachnid brain reveals early divergence of Chelicerata
  Fossils from the lower Cambrian provide crucial insights into the diversification of arthropod lineages: Mandibulata, exemplified by centipedes, insects, and crustaceans; and Chelicerata, represented by sea spiders, horseshoe crabs, and arachnids, the last inc…
  preprints 2024 置信度 0.74
• EEG of the dancing brain: Decoding sensory, motor and social processes during dyadic dance
  Real-world social cognition requires processing and adapting to multiple dynamic information streams. Interpreting neural activity in such ecological conditions remains a key challenge for neuroscience. This study leverages advancements in de-noising technique…
  preprints 2024 置信度 0.74
• Ketamine-Induced Unresponsiveness Shows a Harmonic Shift from Global to Localised Functional Organisation
  Ketamine is classified as a dissociative anaesthetic that, in sub-anaesthetic doses, can produce an altered state of consciousness characterised by dissociative symptoms, visual and auditory hallucinations, and perceptual distortions. Given the anaesthetic-lik…
  preprints 2024 置信度 0.74
• TIDAL – Tool to Implement Developmental Analysis of Longitudinal data
  Motivation Growth curve modelling is one method used to model trajectories of traits and behaviours over time. However, accessing, analysing and interpreting trajectories requires statistical expertise, thereby creating potential barriers for users to implemen…
  preprints 2024 置信度 0.74
• Increasing spectral DCM flexibility and speed by leveraging Julia’s ModelingToolkit and automated differentiation
  Using neuroimaging and electrophysiological data to infer neural parameter estimations from theoretical circuits requires solving the inverse problem. Here, we provide a new Julia language package designed to i) compose complex dynamical models in a simple and…
  preprints 2023 置信度 0.74
• Quality assessment and control of unprocessed anatomical, functional, and diffusion MRI of the human brain using MRIQC
  Quality control of MRI data prior to preprocessing is fundamental, as substandard data are known to increase variability spuriously. Currently, no automated or manual method reliably identifies subpar images, given pre-specified exclusion criteria. In this wor…
  preprints 2024 置信度 0.74
• Optochemical profiling of NMDA receptor molecular diversity at synaptic and extrasynaptic sites
  Neurotransmitter receptors are the linchpin of neuronal communication. These receptors often form large multimeric complexes that differ in their subunit composition, distribution and signaling properties. Studying individual subtypes in native tissues with su…
  preprints 2024 置信度 0.74
• Comparative connectomics of the descending and ascending neurons of the <i>Drosophila</i> nervous system: stereotypy and sexual dimorphism
  In most complex nervous systems there is a clear anatomical separation between the nerve cord, which contains most of the final motor outputs necessary for behaviour, and the brain. In insects, the neck connective is both a physical and information bottleneck …
  preprints 2024 置信度 0.74
• NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function
  This paper introduces the “NEBULA101 - Neuro-behavioural Understanding of Language Aptitude” dataset, which comprises behavioural and brain imaging data from 101 healthy adults to examine individual differences in language and cognition. Human language, a mult…
  preprints 2024 置信度 0.74
• MEA-NAP compares microscale functional connectivity, topology, and network dynamics in organoid or monolayer neuronal cultures
  Summary Microelectrode array (MEA) recordings are commonly used to compare firing and burst rates in neuronal cultures. MEA recordings can also reveal microscale functional connectivity, topology, and network dynamics—patterns seen in brain networks across spa…
  preprints 2024 置信度 0.74
• NIAGADS: A Comprehensive National Data Repository for Alzheimer’s Disease and Related Dementia Genetics and Genomics Research
  NIAGADS is the National Institute on Aging (NIA) designated national data repository for human genetics research on Alzheimer’s Disease and related dementia (ADRD). NIAGADS maintains a high-quality data collection for ADRD genetic/genomic research and supports…
  preprints 2024 置信度 0.74
• Shaping the developing homunculus: the roles of deprivation and compensatory behaviour in sensory remapping
  ABSTRACT Some of the most dramatic examples of neuroplasticity in the human brain follow congenital sensory deprivation, though we have limited understanding of the plasticity mechanisms driving such large-scale remapping. Hand loss due to congenital limb diff…
  preprints 2024 置信度 0.74
• The TD drive - A parametric, open-source implant for multi-area electrophysiological recordings in behaving and sleeping rats
  ABSTRACT Intricate interactions between multiple brain areas underlie most functions attributed to the brain. The process of learning, as well as formation and consolidation of memories are two examples that rely heavily on functional connectivity across the b…
  preprints 2024 置信度 0.74
• Intrinsic and extrinsic mechanisms alter neural cell fate specification in EPM1 Epilepsy
  The extracellular milieu, including extracellular vesicles (EVs), plays a pivotal role in brain development by regulating neural processes such as proliferation, differentiation, and migration. In this study, we sought to elucidate the pathogenesis of progress…
  preprints 2024 置信度 0.74
• Entorhinal grid-like codes for visual space during memory formation
  Eye movements, such as saccades, allow us to gather information about the environment and, in this way, can shape memory. In non-human primates, saccades are associated with the activity of grid cells in the entorhinal cortex. Grid cells are essential for spat…
  preprints 2024 置信度 0.74
• Universal rhythmic architecture uncovers distinct modes of neural dynamics
  Understanding the organizing principles of brain activity can advance neurotechnology and medical diagnosis. Traditionally, brain activity has been viewed as consisting electrical field potentials oscillating at different frequency bands. However, emerging evi…
  preprints 2024 置信度 0.74
• Genetic Risk of Axonal Neuropathy Following Infection
  Background Why some individuals experience severe neuropathy following infection is unknown. Nucleocytoplasmic trafficking (NCT) is an essential process in nucleated cells, and its disruption has been implicated in many neurodegenerative conditions including a…
  preprints 2024 置信度 0.74
• Population clustering of structural brain aging and its association with brain development
  Structural brain aging has demonstrated strong inter-individual heterogeneity and mirroring patterns with brain development. However, due to the lack of large-scale longitudinal neuroimaging studies, most of the existing research focused on the cross-sectional…
  preprints 2024 置信度 0.74
• MacAction: Realistic 3D macaque body animation based on multi-camera markerless motion capture
  Social interaction is crucial for survival in primates. For the study of social vision in monkeys, highly controllable macaque face avatars have recently been developed, while body avatars with realistic motion do not yet exist. Addressing this gap, we develop…
  preprints 2024 置信度 0.74
• Diverse ancestral brainstem noradrenergic neuron activity across species and biological factors
  The brainstem cell group, locus coeruleus (LC), is present across vertebrates and influences cardiorespiratory, metabolic, immune, and cognitive functions by activating in two putatively distinct firing patterns. Yet, the degree to which the LC firing rates an…
  preprints 2024 置信度 0.74
• Fast, Accurate, and Versatile Data Analysis Platform for the Quantification of Molecular Spatiotemporal Signals
  SUMMARY 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 extr…
  preprints 2024 置信度 0.74
• Beta bursts question the ruling power for brain-computer interfaces
  Current efforts to build reliable brain-computer interfaces (BCI) span multiple axes from hardware, to software, to more sophisticated experimental protocols, and personalized approaches. However, despite these abundant efforts, there is still room for signifi…
  preprints 2023 置信度 0.74
• Cortical thickness and grey-matter volume anomaly detection in individual MRI scans: Comparison of two methods
  Over the past decades, morphometric analysis of brain MRI has contributed substantially to the understanding of healthy brain structure, development and aging as well as to improved characterisation of disease related pathologies. Certified commercial tools ba…
  preprints 2024 置信度 0.74
• Retinotopic biases in contextual feedback signals to V1 for object and scene processing
  Identifying the objects embedded in natural scenes relies on recurrent processing between lower and higher visual areas. How is cortical feedback information related to objects and scenes organised in lower visual areas? The spatial organisation of cortical fe…
  preprints 2024 置信度 0.74
• Functional MRI reveals that subcortical auditory push-pull interactions rely on intercollicular integrity
  The role of subcortical structures in binaural integration is of great interest for auditory processing. The inferior colliculus (IC) is the main auditory midbrain center where ascending and descending auditory projections converge, which was suggested to enco…
  preprints 2024 置信度 0.74
• A flexible photoacoustic retinal prosthesis
  Retinal degenerative diseases of photoreceptors are a leading cause of blindness with no effective treatment. Retinal prostheses aim to restore sight by stimulating residual retinal cells. Here, we present a photoacoustic retinal stimulation technology. We des…
  preprints 2024 置信度 0.74
• Calcium dynamics tune timing of developmental transitions to generate evolutionarily divergent axon tract lengths
  ABSTRACT The human brain has undergone an evolutionary expansion in size, both in terms of cell numbers and the size of cellular structures, including axon tracts. Human brain development also progresses slowly and takes particularly long. However, the functio…
  preprints 2024 置信度 0.74
• FLYNC: A Machine Learning-Driven Framework for Discovering Long Non-Coding RNAs in <i>Drosophila melanogaster</i>
  ABSTRACT Non-coding RNAs have increasingly recognized roles in critical molecular mechanisms of disease. However, the non-coding genome of Drosophila melanogaster , one of the most powerful disease model organisms, has been understudied. Here, we present FLYNC…
  preprints 2024 置信度 0.74
• Mechanistic basis of temperature-adaptation in microtubule dynamics across frog species
  SUMMARY Cellular processes are remarkably effective across diverse temperature ranges, even with highly conserved proteins. In the context of the microtubule cytoskeleton, which is critically involved in a wide range of cellular activities, this is particularl…
  preprints 2024 置信度 0.74
• Heart-retina time analysis using electrocardiogram-coupled time-resolved dynamic optical coherence tomography
  The eye and the heart are two closely interlinked organs, and many diseases affecting the cardiovascular system manifest in the eye. To contribute to the understanding of blood flow propagation towards the retina, we developed a method to acquire electrocardio…
  preprints 2024 置信度 0.74
• Too little and too much: medial prefrontal functional inhibition impairs early, whereas neural disinhibition impairs serial reversal performance in rats
  ABSTRACT Schizophrenia is associated with reduced activation (‘hypofrontality’) and neural disinhibition (reduced GABAergic inhibition) in the dorsolateral prefrontal cortex (dlPFC), as well as reversal learning deficits. Whilst reversal learning has been stro…
  preprints 2025 置信度 0.74
• Quantitative Molecular Imaging using Deep Magnetic Resonance Fingerprinting
  Abstract Deep learning-based saturation-transfer magnetic resonance fingerprinting (MRF) is an emerging approach for noninvasive in vivo imaging of proteins, metabolites, and pH. It involves a series of steps, including (i) sample/subject preparation, (ii) ima…
  preprints 2024 置信度 0.74
• Longevity of Implantable Silicon-ICs for Emerging Neural Applications: Evaluation of Bare Die and PDMS-Coated ICs After Accelerated Aging and Implantation Studies
  Silicon integrated circuits (ICs) are central to the next-generation miniature active neural implants, whether packaged in soft polymers for flexible bioelectronics or implanted as bare die for neural probes. These emerging applications bring the IC closer to …
  preprints 2024 置信度 0.74
• A role for the thalamus in danger discrimination during sleep
  Abstract Sleep is associated with a sensory disconnection from the environment despite a high vulnerability to danger and predation. Yet, sensory stimuli-evoked responses persist in the brain of flies 1 , rodents 2,3 , primates 4,5 , and humans 6,7 during slee…
  preprints 2024 置信度 0.74
• Genetic liability to sedentary behavior increases the risk of cardiovascular disease incidence: Evidence from the FinnGen cohort with 293,250 individuals
  Background It is unclear how the genetics of sedentary behavior are associated with incident cardiovascular disease (CVD). We investigated the associations between genetic liability to sedentary behavior, sedentariness, and four main CVD outcomes: any CVD, hyp…
  preprints 2024 置信度 0.74
• QUAL-IF-AI: Quality Control of Immunofluorescence Images using Artificial Intelligence
  Fluorescent imaging has revolutionized biomedical research, enabling the study of intricate cellular processes. Multiplex immunofluorescent imaging has extended this capability, permitting the simultaneous detection of multiple markers within a single tissue s…
  preprints 2024 置信度 0.74
• A Set of FMRI Quality Control Tools in AFNI: Systematic, in-depth and interactive QC with afni_proc.py and more
  Quality control (QC) assessment is a vital part of FMRI processing and analysis, and a typically under-discussed aspect of reproducibility. This includes checking datasets at their very earliest stages (acquisition and conversion) through their processing step…
  preprints 2024 置信度 0.74
• Subthalamic nucleus encoding steers adaptive therapies for gait in Parkinson’s disease
  ABSTRACT Parkinson’s disease leads to a spectrum of cardinal motor symptoms and locomotor deficits that vary in severity with the nature of daily activities and the fluctuating physiology of patients. Many of these deficits remain inadequately addressed by exi…
  preprints 2025 置信度 0.74
• An Open-Source Deep Learning-Based Toolbox for Automated Auditory Brainstem Response Analyses (ABRA)
  Hearing loss is a pervasive global health challenge with profound impacts on communication, cognitive function, and quality of life. Recent studies have established age-related hearing loss as a significant risk factor for dementia, highlighting the importance…
  preprints 2024 置信度 0.74
• Altered thymic niche synergistically drives the massive proliferation of malignant thymocytes
  ABSTRACT The discovery of genetic alterations in patient samples over the last decades has reinforced a cell-autonomous view of proliferative expansion during T- cell acute lymphoblastic leukemia (T-ALL) development in the thymus. However, the potential contri…
  preprints 2024 置信度 0.74
• Mouse α-synuclein fibrils are structurally and functionally distinct from human fibrils associated with Lewy body diseases
  Short Abstract The intricate process of α-synuclein aggregation and fibrillization hold pivotal roles in Parkinson’s disease (PD) and multiple system atrophy (MSA). While mouse α-synuclein can fibrillize in vitro , whether these fibrils commonly used in resear…
  preprints 2024 置信度 0.74
• A common computational and neural anomaly across mouse models of autism
  Computational psychiatry has suggested that humans within the autism spectrum disorder (ASD) inflexibly update their expectations (i.e., Bayesian priors). Here, we leveraged high-yield rodent psychophysics (n = 75 mice), extensive behavioral modeling (includin…
  preprints 2024 置信度 0.74
• A deep learning framework for automated and generalized synaptic event analysis
  Quantitative information about synaptic transmission is key to our understanding of neural function. Spontaneously occurring synaptic events carry fundamental information about synaptic function and plasticity. However, their stochastic nature and low signal-t…
  preprints 2023 置信度 0.74
• Retinal morphology across the menstrual cycle: insights from the UK Biobank
  Abstract Oestradiol and progesterone levels are higher in menstruating women than men of the same age, and their receptors are present in their neurosensory retina and retinal pigment epithelium. However, the impact of this hormonal environment on retinal phys…
  preprints 2024 置信度 0.74
• Jaxley: Differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics
  Biophysiscal neuron models provide insights into cellular mechanisms underlying neural computations. However, a central challenge has been the question of how to identify the parameters of detailed biophysical models such that they match physiological measurem…
  preprints 2024 置信度 0.74
• Lateral lamina V projection neuron axon collaterals connect sensory processing across the dorsal horn of the mouse spinal cord
  Abstract Spinal projection neurons (PNs) are defined by long axons that travel from their origin in the spinal cord to the brain where they relay sensory information from the body. The existence and function of a substantial axon collateral network, also arisi…
  preprints 2024 置信度 0.74
• Defining and benchmarking open problems in single-cell analysis
  Abstract With the growing number of single-cell analysis tools, benchmarks are increasingly important to guide analysis and method development. However, a lack of standardisation and extensibility in current benchmarks limits their usability, longevity, and re…
  preprints 2024 置信度 0.74
• A short-term immersive auditory-cognitive training improves speech in noise perception in older adults with varying hearing acuity and working memory capacity
  Abstract Ageing is associated with elevated pure-tone thresholds, accompanied by increased difficulties in understanding speech-in-noise. While amplification provides important, but insufficient support, auditory-cognitive training (ACT) might provide support.…
  preprints 2024 置信度 0.74
• How to design optimal brain stimulation to modulate phase-amplitude coupling?
  Objective Phase-amplitude coupling (PAC), the coupling of the amplitude of a faster brain rhythm to the phase of a slower brain rhythm, plays a significant role in brain activity and has been implicated in various neurological disorders. For example, in Parkin…
  preprints 2024 置信度 0.74
• The confounding effects of skin colour in photoacoustic imaging
  Skin colour is known to confound readouts from optical devices that make measurements through the skin, which can adversely impact the care of patients with darker skin. Photoacoustic imaging (PAI) is making its way from the laboratory to the clinic, however, …
  preprints 2025 置信度 0.74
• A minimal presynaptic protein machinery mediating synchronous and asynchronous exocytosis and short-term plasticity
  Abstract Neurotransmitters are released from synaptic vesicles with remarkable precision in response to presynaptic Ca 2+ influx but exhibit significant heterogeneity in exocytosis timing and efficacy based on the recent history of activity. This heterogeneity…
  preprints 2024 置信度 0.74
• Early feasibility of an embedded bi-directional brain-computer interface for ambulation.
  Current treatments for paraplegia induced by spinal cord injury (SCI) are often limited by the severity of the injury. The accompanying loss of sensory and motor functions often results in reliance on wheelchairs, which in turn causes reduced quality of life a…
  pubmed Lim J, Wang PT, Joon Sohn W, Serrano-Amenos C 等 2024 Jul 置信度 0.82
• Improving the Classification of Olfactory Brain-Computer Interface Responses by Combining EEG and EBG Signals.
  The sense of smell, or olfaction, can enhance brain-computer interfaces (BCIs). Different scents can be assigned to specific commands to allow users to interact with technology naturally, but challenges remain. Accurate odor delivery systems and robust algorit…
  pubmed Kasprzak H, Niewinska N, Komendzinski T, Otake-Matsuura M 等 2024 Jul 置信度 0.82
• Brain-Computer-Brain system for individualized transcranial alternating current stimulation with concurrent EEG recording: a healthy subject pilot study.
  In this study, we introduce a novel brain-computer-brain (BCB) system to investigate the aftereffects of individualized, task-dependent transcranial alternating current stimulation (tACS) delivered to the motor cortex. While previous studies utilized either a …
  pubmed Lim RY, Jiang M, Ang KK, Lin X 等 2024 Jul 置信度 0.82
• A Novel Real-time Algorithm Based on Phase-Locked Data Alignment for Continuously Controlled SSVEP-BCI.
  Brain-computer interfaces (BCIs) based on steady-state visual evoked potential (SSVEP) show good performance. However, algorithms always decode segments of electroencephalogram (EEG) and can only satisfy discrete output instructions, which limit the real-time …
  pubmed Jiang H, Xiao X, Mei J, Xu M 等 2024 Jul 置信度 0.82
• Refined Force Estimation in Monkey's Pinching Tasks Through Integrated EMG and ECoG Data: A Kalman Filter Method.
  In the development of brain-computer interfaces (BCIs), precise decoding of motor outputs is crucial. This study presents an enhanced Kalman filter approach that integrates electromyography (EMG) with electrocorticography (ECoG) to improve force estimation in …
  pubmed Umezawa K, Isezaki T, Okitsu K, Yokoyama O 等 2024 Jul 置信度 0.82
• Cross-paradigm data alignment to improve the calibration of asynchronous BCI systems in EEG-based speech imagery.
  The brain-computer interfaces (BCIs) based on speech imagery with asynchronous (self-paced) paradigms enable users to directly access and manipulate BCIs with more freedom. Compared with the indirect BCIs with traditional synchronous (cue-based) paradigms, the…
  pubmed Li M, Pun SH, Chen F 2024 Jul 置信度 0.82
• Motor Imagery Decoding from EEG under Visual Distraction via Feature Map Attention EEGNet.
  The investigation of motor imagery (MI)-based brain-computer interface (BCI) is vital to the domains of human-computer interaction and rehabilitation. Few existing studies on electroencephalogram(EEG) signals decoding based on MI consider any distractions. How…
  pubmed Geng Y, Yang B, Ke S, Chang L 等 2024 Jul 置信度 0.82
• Multi-channel Neural Signal Recording System for an Implantable Brain-Computer Interface.
  Simultaneous recordings of neural activity at massive scope, in the long term, and under bio-safety conditions, could provide crucial information, which helps in better understanding the operation mechanism of the brain and promotes the clinical application ev…
  pubmed Li Q, Zhang Z, Shi M, Tao X 2024 Jul 置信度 0.82
• Decoding auditory attention for real-time BCI control.
  Brain-Computer Interfaces (BCI) facilitate interaction with devices, enhancing the quality of life for individuals with disabilities and offering a more direct method for controlling smart devices. Auditory BCIs commonly utilize event-related potentials (ERPs)…
  pubmed Raghavan V, Patel P, He X, Mesgarani N 2024 Jul 置信度 0.82
• Passive BCI Towards Health and Safety in Industry: Forecasting Human Vigilance 5.5 s Ahead.
  Brain-computer interfaces based on electroencephalography (EEG) recordings are gaining increasing interest in the industrial domain, aiming to enhance health, safety and performance by optimizing the cognitive load of industrial operators and facilitating huma…
  pubmed Cinquetti E, Siviero I, Babiloni F, Menegaz G 等 2024 Jul 置信度 0.82
• EEG Acquisition and Motor Imagery Classification for Robotic Control.
  The adoption of brain-computer interfaces (BCIs) has significantly increased in various application domains, particularly in the field of controlling robotic systems through motor imagery. The article contributes in two primary ways: 1) validating the effectiv…
  pubmed Amrani H, Micucci D, Nalin M, Napoletano P 等 2024 Jul 置信度 0.82
• Towards Optimising EEG Decoding using Post-hoc Explanations and Domain Knowledge.
  Decoding Electoencephalography (EEG) during motor imagery is pivotal for the Brain-Computer Interface (BCI) system, influencing its overall performance significantly. As end-to-end data-driven learning methods advance, the challenge lies in balancing model com…
  pubmed Rajpura P, Meena YK 2024 Jul 置信度 0.82
• Classification of Emerging Neural Activity from Planning to Grasp Execution using a Novel EEG-Based BCI Platform.
  There have been different reports of developing Brain-Computer Interface (BCI) platforms to investigate the noninvasive electroencephalography (EEG) signals associated with plan-to-grasp tasks in humans. However, these reports were unable to clearly show evide…
  pubmed Cetera A, Rabiee A, Ghafoori S, Shahriari Y 等 2024 Jul 置信度 0.82
• Advancing Brain-Computer Interface Systems: Asynchronous Classification of Error Potentials.
  This paper explores the paradigm shift in the classification of Error-Related Potentials (ErrP) in Brain-Computer Interfaces (BCIs) by introducing an asynchronous approach. Traditional synchronous methods, relying on precise temporal alignment between stimuli …
  pubmed Farabbi A, Mainardi L, Andrea Farabbi, Luca Mainardi 2024 Jul 置信度 0.82
• Utilizing Motor-Imagery Brain-Computer Interfaces for the Assessment of Developmental Coordination Disorder in Children.
  Developmental Coordination Disorder (DCD) is a neurodevelopmental disorder characterized by significant motor difficulties that affect daily life. Current assessment methods primarily focus on behavioral analysis, lacking in neuroscientific metrics for a compr…
  pubmed Lee KY, Chang KY, Hsu HC, Tseng YT 等 2024 Jul 置信度 0.82
• Detecting and Eliminating Cardiac Artifact from Endovascular EEG Signals.
  Paralysis is a debilitating condition that affects more than 5.4 million people in the U.S. In severe cases, the paralyzed patient is incapable of communication. Restoring this communication is a primary goal of caretakers and is critical to improving the pati…
  pubmed Sreekantham S, Chetty N, Weber DJ 2024 Jul 置信度 0.82
• Facilitating Knowledge Transfer: An Approach for Matching Neural Patterns between Motor Tasks.
  Brain-machine interface (BMI) holds great promise for restoring the impaired motor functions of individuals. In real-life scenarios, BMI users often face the challenge of quickly learning new tasks to adapt to complex environments. Consequently, it becomes ess…
  pubmed Song Z, Zhang X, Tan J, Wang M 等 2024 Jul 置信度 0.82
• Wavelet Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types.
  This research aims to decode hand grasps from Electroencephalograms (EEGs) for dexterous neuroprosthetic development and Brain-Computer Interface (BCI) applications, especially for patients with motor disorders. Particularly, it focuses on distinguishing two c…
  pubmed Rabiee A, Ghafoori S, Cetera A, Shahriari Y 等 2024 Jul 置信度 0.82
• A New Canonical Log-Euclidean Kernel for Symmetric Positive Definite Matrices for EEG Analysis (Oct 2024).
  Working with the Riemannian manifold of symmetric positive-definite (SPD) matrices has become popular in electroencephalography (EEG) analysis. Frequently selected for its speed property is the manifold geometry provided by the log-euclidean Riemannian metric.…
  pubmed Berg GLWV, Rohr V, Platt D, Blankertz B 2025 Mar 置信度 0.82
• SS-MSDA: Streamlined Sample-level Multi-source Domain Adaptation for EEG Emotion Recognition.
  Affective EEG-based Brain-Computer Interface (BCI) offers extensive prospects. Yet, it grapples with notable challenges in consistently achieving accurate emotion recognition among new subjects. Mitigating this matter, Multi-Source Domain Adaptation (MSDA) has…
  pubmed Wang J, Wang Z, Xu T, Zhou T 等 2024 Jul 置信度 0.82
• Narrowband-Enhanced Method for Improving Frequency Recognition in SSVEP-BCIs.
  Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCI) provide a non-invasive and effective means for communication and control, which fundamentally rely on the feature of frequency information. However, filter banks in conventional…
  pubmed Li R, Zhao X, Wang Z, Xu G 等 2024 Jul 置信度 0.82
• A Method of Cross-Subject Transfer Learning for Ultra Short Time SSVEP Classification.
  The steady-state visual evoked potentials (SSVEP) based brain-computer interfaces (BCIs) require extensive training data for efficient classification, but existing algorithms struggle with ultra short time inputs (less than 0.2 seconds), limiting the feasibili…
  pubmed Kang H, Bao N, Liu H, Dong C 等 2024 Jul 置信度 0.82
• A Dynamic Evaluation-Denoising Network for Motion Artifacts Removal from Single-Channel EEG.
  Brain-computer interfaces (BCIs) have gained significant attention in rehabilitation research as a critical step in investigating neural remodeling techniques. However, most existing methods usually overlook the randomness and diversity of motion artifacts, th…
  pubmed Li Z, Shi K, Li W, Mu F 等 2024 Jul 置信度 0.82
• Exploring the Relationship Between Imitated and Associated Mechanism on Performance of Visual Imagery Brain-Computer Interface.
  Visual Imagery (VI) can be defined as the manipulation of visual information derived from memory rather than perception. Currently, the brain responses underlying imitation and associative VI are not clear. In this study, we explore the differences from imitat…
  pubmed Tai P, Yang J, Qi S, Li G 等 2024 Jul 置信度 0.82
• MSDAC: A multi-source domain adversarial framework for motion prediction in intracortical brain-computer interfaces.
  Intracortical brain-computer interfaces (iBCIs) restore motor function in patients with paralysis by converting neural activity into control signals for external devices. However, the frequent recalibration required by current decoding methods due to turnover …
  pubmed Liu H, Yang B, Guan S, Rong F 等 2024 Jul 置信度 0.82
• A Three-stage Strategy Significantly Improves Hand Movement Direction Decoding of a Single Neural Unit.
  Invasive brain-computer interfaces (iBCI) can record multiple neural signals with the highest temporal and spatial resolution. However, the number of available neural units decreases with the increase in implantation time, which affects the stability of the iB…
  pubmed Yu S, Liang F, Zhang Y, Chen L 等 2024 Jul 置信度 0.82
• Cross-subject EEG-based Motor Imagery Recognition for Patient's Rehabilitation.
  Motor imagery (MI), a kind of psychological representation without actual action, has garnered increasing attention in rehabilitation. However, the inherent differences between patients and healthy persons hinder rehabilitation by reducing the accuracy of cros…
  pubmed Ye Y, Mu X, Pan T, Li Y 等 2024 Jul 置信度 0.82
• Intended Speech Classification with EEG Signals Based on a Temporal Attention Mechanism: A Study of Mandarin Vowels.
  Speech brain-machine interfaces (BCIs) offer an effective means for patients with voice disorders to communicate, and research on decoding electroencephalography (EEG) signals related to intended speech can help to understand the mechanisms of language product…
  pubmed Wang X, Lai YH, Chen F 2024 Jul 置信度 0.82
• From Word Embedding to Reading Embedding Using Large Language Model, EEG and Eye-tracking.
  Reading comprehension, a fundamental cognitive ability essential for knowledge acquisition, is a complex skill, with a notable number of learners lacking proficiency in this domain. This study introduces innovative tasks for Brain-Computer Interface (BCI), pre…
  pubmed Zhang Y, Yang S, Cauwenberghs G, Jung TP 2024 Jul 置信度 0.82
• Electrical stimulation-based paradigm to enhance lower limb motor imagery: initial validation in stroke patients.
  Lower limb motor dysfunction is a prevalent complication of stroke that significantly impacts patients' quality of life. Current research indicates that motor imagery-based brain-computer interface (BCI-MI) training can assist stroke patients in enhancing moto…
  pubmed Gui Z, Liu Y, Qiu S, Zhang Y 等 2024 Jul 置信度 0.82
• Enhancing Detection of SSVEP-based BCIs Using Adjacent Frequencies Fusion Method.
  Brain-computer interfaces (BCIs) have emerged as transformative technologies, enabling direct communication between the human brain and external devices. Steady-state visual evoked potentials (SSVEP) have gained particular attention due to their potential in B…
  pubmed Zhou W, Zhao X, Zhou T, Wang Z 等 2024 Jul 置信度 0.82
• A Novel SSVEP Modulation Method Utilizing VR-Based Binocular Vision.
  This paper presents a novel method for modulating steady-state visual evoked potentials (SSVEP) based on binocular vision in virtual reality (VR). The method involves displaying monocular frequencies in the left and right view of VR to encode nine binocular ta…
  pubmed Liu H, Wang Z, Li R, Zhao X 等 2024 Jul 置信度 0.82
• Enhancing Word-Level Imagined Speech BCI Through Heterogeneous Transfer Learning.
  In this study, we proposed a novel heterogeneous transfer learning approach named Focused Speech Feature Transfer Learning (FSFTL), aimed at enhancing the performance of electroencephalogram (EEG)-based word-level Imagined Speech (IS) Brain-Computer Interface …
  pubmed Li A, Wang Z, Zhao X, Xu T 等 2024 Jul 置信度 0.82
• CEBRA Method: Decoding Brain Activity for Advanced Brain-Computer Interface Technology.
  The emerging neurorehabilitation technology, Brain-Computer Interface (BCI), provides a novel prospect for stroke recovery. However, decoding brain activity during the movement present substantial challenges, and feature extraction is crutial to build a better…
  pubmed Yang J, Kulwa F, Liu X, Lu Y 等 2024 Jul 置信度 0.82
• EEG Emotion Recognition Based on 3D-CTransNet.
  Emotion recognition is of great significance for brain-computer interface and emotion computing, and EEG plays a key role in this field. However, the current design of brain computer interface deep learning model is faced with algorithmic or structural constra…
  pubmed Luo H, Zhao X, Zhou T, Wang Z 等 2024 Jul 置信度 0.82
• A Systematic Review of Bimanual Motor Coordination in Brain-Computer Interface.
  Advancements in neuroscience and artificial intelligence are propelling rapid progress in brain-computer interfaces (BCIs). These developments hold significant potential for decoding motion intentions from brain signals, enabling direct control commands withou…
  pubmed Tantawanich P, Phunruangsakao C, Izumi SI, Hayashibe M 等 2024 Dec 25 置信度 0.82 Brain–computer interfaceInterface (matter)Motor coordinationNeurosciencePhysical medicine and rehabilitation
• Semi-Autonomous Continuous Robotic Arm Control Using an Augmented Reality Brain-Computer Interface.
  Noninvasive augmented-reality (AR) brain-computer interfaces (BCIs) that use steady-state visually evoked potentials (SSVEPs) typically adopt a fully-autonomous goal-selection framework to control a robot, where automation is used to compensate for the low inf…
  pubmed Kokorin K, Zehra SR, Mu J, Yoo P 等 2024 Nov 18 置信度 0.82
• FACT-Net: a Frequency Adapter CNN with Temporal-periodicity Inception for Fast and Accurate MI-EEG Decoding.
  Motor imagery brain-computer interface (MI-BCI) based on non-invasive electroencephalogram (EEG) signals is a typical paradigm of BCI. However, existing decoding methods face significant challenges in terms of signal decoding accuracy, real-time processing, an…
  pubmed Ke S, Yang B, Qin Y, Rong F 等 2024 Nov 18 置信度 0.82
• A Wearable Brain-Computer Interface with Fewer EEG Channels for Online Motor Imagery Detection.
  Motor imagery-based brain-computer interfaces (MI-BCIs) have significant potential for neurorehabilitation and motor recovery. However, most BCI systems employ multi-channel electroencephalogram (EEG) recording devices, during which the pre-experimental prepar…
  pubmed Rao Z, Zhu J, Lu Z, Zhang R 等 2024 Nov 18 置信度 0.82
• Exosomal Bupivacaine: Integrating Nerve Barrier Penetration Capability and Sustained Drug Release for Enhanced Potency in Peripheral Nerve Block and Reduced Toxicity.
  Peripherally injected local anesthetics exhibit limited ability to penetrate peripheral nerve barriers (PNBs), which limits their effectiveness in peripheral nerve block and increases the risk of adverse effects. In this work, we demonstrated that exosomes der…
  pubmed Cai Y, Li Q, Wesselmann U, Zhao C 2024 Oct 15 置信度 0.82
• Hotspots and Trends in Spinal Cord Stimulation Research for Spinal Cord Injury: A Bibliometric Analysis with Emphasis on Motor Recovery (2014-2024).
  Spinal cord stimulation (SCS) has emerged as a key therapeutic strategy for enhancing motor recovery in spinal cord injury (SCI). This study employs bibliometric analysis to explore research trends and hotspots in SCS for motor recovery, highlighting advances …
  pubmed OuYang Z, Yang R, Wang Y 2025 May 置信度 0.82
• [Applications and prospects of electroencephalography technology in neurorehabilitation assessment and treatment].
  With the high incidence of neurological diseases such as stroke and mental illness, rehabilitation treatments for neurological disorders have received widespread attention. Electroencephalography (EEG) technology, despite its excellent temporal resolution, has…
  pubmed He W, Wang D, Meng Q, He F 等 2024 Dec 25 置信度 0.82
• [An emerging major: brain-computer interface major].
  Brain-computer interface (BCI) is a revolutionizing technology that disrupts traditional human-computer interaction by establishing direct communication and control between the brain and computer, bypassing the peripheral nervous and muscular systems. With the…
  pubmed Yang H, Li T, Zhao L, Chen X 等 2024 Dec 25 置信度 0.82