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• A Novel Tiny Open-Source Board BioRon_EEG for Dry Active Electrode
  This paper introduces an open-source active high-precision signal amplifier designed for enhancing biodata acquisition, specifically focusing on EEG signals. The compact device, with a diameter of 18 mm, seamlessly integrates electronics, signal processing, an…
  preprints 2024 置信度 0.74
• Integration Between Serious Games and EEG Signals: An Overview
  A serious game combines concepts, principles, and methods of game design with information and communication technologies, for the achievement of a given goal beyond entertainment. Serious game studies have been reported under a brain-computer interface (BCI) a…
  preprints 2024 置信度 0.74
• Computer vision guided rapid and precise automated cranial microsurgeries in rodents
  ABSTRACT Neuroscientists employ various experimental procedures to interface with the brain to study and perturb the neural activity during behavior. A common procedure that allows such physical interfacing is cranial microsurgery, wherein small to large crani…
  preprints 2024 置信度 0.74
• Dyslexia Diagnosis using the EEG Signal: A Machine Learning Approach
  Dyslexia is a learning disorder impacting reading, writing, calculation, memory, and spelling abilities. It is a neurodevelopmental condition affecting approximately 5-10% of the population. The use of eye tracking combined with machine learning algorithms for…
  preprints 2024 置信度 0.74
• Low-Cost Shield ardEEG to Measure EEG with Arduino Uno R4 WiFi
  The article presents an accessible route into the field of neuroscience through ardEEG device. This device allows convert Arduino UNO R4 WIFI into a brain-computer interface, making it easy to measure EEG, EMG and ECG signals with 8 channels. Over the past dec…
  preprints 2024 置信度 0.74
• How different immersive environments affect intracortical brain computer interfaces
  A bstract As brain-computer interface (BCI) research advances, many new applications are being developed. Tasks can be performed in different environments, and whether a BCI user can switch environments seamlessly will influence the ultimate utility of a clini…
  preprints 2024 置信度 0.74
• A method for recognizing motor imagery EEG signals based on high-quality lead selection
  In the application of motor imagery brain-computer interface system, high-density leads bring redundant noise, which leads to time-consuming system operation and poor performance. A channel selection strategy based on brain function network is proposed. This m…
  preprints 2024 置信度 0.74
• BSPKTM-SIFE-WST: Bispectrum based Channel Selection using Set-Based-Integer-Coded Fuzzy Granular Evolutionary Algorithm and Wavelet Scattering Transform for Motor Imagery EEG Classification
  Abstract Background A brain-computer interface (BCI) is a system that makes communication between the brain and an external device. The electroencephalogram (EEG) is the most favourable tool for extracting neural signals from the brain. Motor Imagery (MI) base…
  preprints 2024 置信度 0.74
• User Needs and Preferences for Multimodal Interaction in Social Robots for Later-Life Support: An Exploratory Survey and Conceptual Five-Layer Architecture.
  Social robots hold promise for enhancing later-life support, but user needs and preferences for multimodal interaction modalities remain underexplored. This study explores awareness, willingness, perceived barriers, and modality-function associations across mu…
  europepmc 2026 置信度 0.80
• Mobile-based deep learning approach for the early diagnosis of canine skin and eye diseases using mobileNetV2.
  Background Canine skin and eye diseases are common and can lead to serious health complications if not detected early. Limited access to veterinary care in remote areas further delays diagnosis and treatment. Aim This study aims to develop a mobile-based deep …
  europepmc 2026 置信度 0.80
• Enhanced Mapping of Finger Movement Representations Using Diffuse Optical Tomography: A Systematic Comparison With fNIRS.
  Advancing neuroimaging modalities for motor cortex analysis is critical for understanding the neural mechanisms underlying fine motor tasks and for expanding clinical applications. Functional Near-Infrared Spectroscopy (fNIRS) is widely used for measuring cort…
  europepmc 2026 置信度 0.80
• Dynamic and low-dimensional modeling of brain functional connectivity on Riemannian manifolds.
  Modeling brain functional connectivity (FC) is key in investigating brain functions and dysfunctions. FC is typically quantified by symmetric positive definite (SPD) matrices that are located on a Riemannian manifold rather than the regular Euclidean space, wh…
  europepmc 2025 置信度 0.80
• A systematic review on multifocal non-invasive brain stimulation on motor function enhancement.
  Background Multifocal non-invasive brain stimulation (NIBS) has been highlighted as a promising approach for modulating motor functions by simultaneously stimulating several brain areas. However, the effectiveness and underlying mechanisms of this technique ar…
  europepmc 2026 置信度 0.80
• A weighted multi-scale attention-enhanced temporal convolutional network for motor imagery EEG decoding in brain-computer interfaces.
  Accurate decoding of motor imagery electroencephalogram signals plays a critical role in brain-computer interfaces for neurorehabilitation and assistive technologies. However, existing multi-scale temporal methods often overlook scale-specific importance and f…
  pubmed Song Z, Zhang X 2026 置信度 0.82
• Bidirectional cross-day alignment of neural spikes and behavior using a hybrid SNN-ANN algorithm.
  Recent advances in deep learning have enabled effective interpretation of neural activity patterns from electroencephalogram signals; however, challenges persist in invasive brain signals for cross-day neural decoding and simulation tasks. The inherent non-sta…
  europepmc 2026 置信度 0.80
• Multi-Level Perception Systems in Fusion of Lifeforms: Classification, Challenges and Future Conceptions.
  pubmed Zhang B, You X, Liu Y, Xu J 等 2026 置信度 0.82
• BSAN: A Self-Adapted Motor Imagery Decoding Framework Based on Contextual Information.
  In motor imagery (MI) decoding, it still remains challenging to excavate enough contextual information of MI in different brain regions and to bridge the cross-session variance in feature distributions. In light of these issues, our study presents an innovativ…
  europepmc 2025 置信度 0.80
• Towards Closed-Loop Neuromodulation for Type 2 Diabetes With Ex Vivo Validation of Beta-Cell Activity and FOPP Detection.
  We present in this paper an implantable closed-loop neuromodulation prototype system for type 2 diabetes (T2D) management, which leverages pancreatic electrophysiology as both a sensing and therapeutic modality. Among candidate biomarkers, the fraction of plat…
  europepmc 2026 置信度 0.80
• A wearable deep brain stimulation system for behavioral studies in rodents.
  Introduction Deep brain stimulation (DBS) has been demonstrated to improve motor function by modulating brain circuits. However, the precise mechanism of action remains unclear. Existing DBS devices often lack suitability for rodent models, which are essential…
  europepmc 2025 置信度 0.80
• PhysioMotion Artifact: A task-driven EEG dataset with point-wise motion artifact annotations.
  Physiological artifacts pose persistent challenges in electroencephalogram (EEG) data acquisition, often compromising interpretation and post-analysis of EEG signals across research and clinical applications. To address such limitations, including various arti…
  europepmc 2026 置信度 0.80
• The Enactive Torch: Open-source sensory substitution device for neurophysiological research.
  We present the updated Enactive Torch (ET), an open-source, multimodal sensory substitution device engineered to facilitate synchronized haptic stimulation and neurophysiological data acquisition, particularly electroencephalography (EEG). Designed for modular…
  europepmc 2026 置信度 0.80
• A Horizon Scan of Neurotechnology Innovations.
  Neurotechnology is a rapidly emerging field with vast potential within healthcare, but also has inherent concerns. There is, therefore, a need to ensure the responsible and ethical development and regulation of these technologies. This horizon scan aimed to pr…
  europepmc 2025 置信度 0.80
• BRAIN-META: A reproducible CNN-vision transformer meta-ensemble pipeline for explainable brain tumor classification.
  This study presents BRAIN-META, a reproducible deep learning methodology designed for multi-class brain tumor classification using structural MRI. The proposed approach combines ten hybrid CNN-Vision Transformer (ViT) models with a meta-learning ensemble frame…
  europepmc 2026 置信度 0.80
• Evaluation of video background and stimulus transparency in a visual ERP-based BCI under RSVP.
  Rapid serial visual presentation (RSVP) is a promising paradigm for visual brain-computer interfaces (BCIs) based on event-related potentials (ERPs) for patients with limited muscle and eye movement. This study explores the impact of video background and stimu…
  europepmc 2026 置信度 0.80
• MuscleX-DI: an integrated data analysis package for X-ray scanning diffraction imaging experiments.
  X-ray scanning diffraction can be used to raster-scan tissues to elucidate structural organization and other physical properties. A comprehensive data analysis package targeted to take raster X-ray diffraction (XRD) scans is vital in integrating data at multip…
  europepmc 2026 置信度 0.80
• Novel Time-Series Forecasting Method to Enhance Accuracy of Real-Time EEG Detection for BCI-Based Neurofeedback Motor Training in Individuals with Cerebral Palsy and Other Neurological Disorders.
  Real-time detection of motor intent using electroencephalography (EEG) with high accuracy remains a technical challenge for neurorehabilitation. Brain-computer interface-based neurofeedback training (BCI-NFT) paradigms need to detect pre-movement EEG to activa…
  europepmc 2026 置信度 0.80
• Low-cost, open-source, full-stack software and Arduino-based hardware for control of commercially available animal behavior systems.
  Behavioral neuroscience relies heavily on controlled environments, such as operant chambers or "Skinner boxes," to characterize relationships between external stimuli and the resulting animal behavior. Increasingly, these methodologies are critical for the dev…
  europepmc 2026 置信度 0.80
• PyNeon: A Python package for the analysis of Neon multimodal mobile eye-tracking data.
  Mobile eye-tracking has revolutionized the study of human behavior and cognition by enabling researchers to record eye movements in the real world. However, the dynamic and multimodal nature of mobile eye-tracking data also introduces significant analytical ch…
  europepmc 2026 置信度 0.80
• Innovation, Adaptation, and Human Dignity in Assistive Robotics in Amyotrophic Lateral Sclerosis: A Rehabilitation Medicine Perspective.
  Amyotrophic Lateral Sclerosis (ALS) is a rapidly progressive motor neuron disease that heavily impacts a person's ability to perform activities of daily living, affecting mobility, function, and communication drastically. These complications present a daunting…
  europepmc 2026 置信度 0.80
• A modular and flexible pipeline for intraoperative electrode reconstruction and localization in patients with brain lesions.
  Intraoperative intracranial electrophysiological recordings provide unique access to human cortical dynamics but remain difficult to translate across patients due to inconsistent localization of transient surface electrodes. Unlike chronic implantations, intra…
  pubmed Rabbani H, Das I, Mandal AS, Nelson T 等 2026 置信度 0.82
• Levels of shared autonomy in brain-robot interfaces: enabling multi-robot multi-human collaboration for activities of daily living.
  Individuals with ALS and other severe motor impairments often rely on caregivers for daily tasks, which limits their independence and sense of control. Brain-robot interfaces (BRIs) have the potential to restore autonomy, but many existing systems are task-spe…
  europepmc 2025 置信度 0.80
• Distance-based temporal similarity metrics for adaptive channel selection in multi-modal EEG-fNIRS BCI frameworks.
  Hybrid Brain–Computer Interface (BCI) systems that combine electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) achieve higher classification accuracy but face computational bottlenecks due to the high dimensionality of the dat…
  pubmed Alhudhaif A 2026 置信度 0.82
• Triboelectric nanogenerators for neural data interpretation: bridging multi-sensing interfaces with neuromorphic and deep learning paradigms.
  pubmed Gan L, Yuan S, Guo M, Wang Q 等 2025 置信度 0.82
• Massage Regulates Brain Plasticity in Chronic Sciatic Nerve Compression Injury Rats: A Study Based on Resting-State Functional Magnetic Resonance Imaging.
  Background Neuropathic pain (NP) is associated with maladaptive functional reorganization of the brain, yet the central mechanisms through which massage therapy exerts its analgesic effects remain poorly understood. This study aimed to investigate the impact o…
  europepmc 2026 置信度 0.80
• Strategies for collection, management, and release of data for multi-site longitudinal studies: Lessons from the ABCD Data Analysis, Informatics, & Resource Center.
  This paper synthesizes ten years of experience from the Adolescent Brain Cognitive Development SM (ABCD) Study's Data Analysis, Informatics, & Resource Center (DAIRC), focusing on strategies for the collection, management, and release of data for a large, mult…
  europepmc 2026 置信度 0.80
• Hydrogel-integrated multimodal physiological and modulation systems.
  Hydrogels are emerging as a transformative class of materials for bridging the interface between electronics and biological systems. Their softness, high water content, and tunable ionic/electronic conductivity enable conformal, low-impedance, and biocompatibl…
  europepmc 2026 置信度 0.80
• Microelectrode Arrays Technology for Brain-on-a-Chip Applications.
  Brain-on-a-chip (BOC) refers to a miniaturized in vitro platform that integrates living neuronal networks on a micro-engineered chip, enabling the simulation of brain functions, neural activities and physiological responses. BOC technology is an advanced evolu…
  europepmc 2026 置信度 0.80
• SSVEP-based BCI using ultra-low-frequency and high-frequency peripheral flickers.
  Objective . existing steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) systems predominantly employ a flicker frequency range of 8-20 Hz, which often induces visual fatigue in users, thereby compromising system performance. Cons…
  europepmc 2025 置信度 0.80
• Construction, Control, and Application of Cyborg Animal Composed of Biological and Electromechanical Systems.
  The limitations of biohybrid and mechanical robots, including insufficient control accuracy, limited flexibility, long-term stability, and endurance, have spurred considerable research interest in cyborg animals, which leverage the innate locomotion capabiliti…
  europepmc 2026 置信度 0.80
• Simulation speeds up adaptation to the 3D exoscope: a randomized controlled trial.
  Introduction Exoscopes are alternatives to operative microscopes in intraoperative visualization. Transitioning from microscope to exoscope demands new skills. Simulators are effective training tools in multiple fields, including surgery, yet no virtual simula…
  europepmc 2026 置信度 0.80
• Dynamical intracranial EEG functional network controllability localizes the seizure onset zone and predicts the epilepsy surgical outcome.
  Objective . Seizure onset zone (SOZ) localization and SOZ resection outcome prediction are critical for the surgical treatment of drug-resistant epilepsy but have mainly relied on manual inspection of intracranial electroencephalography (iEEG) monitoring data,…
  europepmc 2025 置信度 0.80
• Study on the effects of mental training on brain functional networks in operators during the glide phase of simulated carrier-based aircraft landing.
  Introduction To enhance flight performance and safety margins during the glide phase of carrier-based aircraft landing, this study systematically investigated the effects of integrated mental training on trainees' brain functional networks from four dimensions…
  europepmc 2026 置信度 0.80
• Synchronizing brains and hearts: A practical guide for caregiver-child fNIRS-ECG multimodal hyperscanning.
  The study of synchrony-concordant neural, physiological, and behavioral activity between individuals-has advanced our understanding of co-regulation and socio-emotional development, particularly within caregiver-child relationships. While previous research has…
  europepmc 2026 置信度 0.80
• Applying transformer-based deep learning models in image-driven cancer diagnosis: a comprehensive bibliometric analysis of global research trends.
  Background/objectives The transformer, introduced in 2017, has revolutionized several fields, including oncology. Its applications in cancer detection, diagnosis, prognosis prediction and treatment have shown significant potential. However, a comprehensive ana…
  europepmc 2026 置信度 0.80
• Effect of modeling subject-specific cortical folds on brain injury risk prediction under blunt impact loading.
  Computational head models are essential tools for predicting the risk of mild traumatic brain injury (mTBI). However, computational models vary in the level of anatomical details, most notably the cortical folds. This study aims to determine the effect of mode…
  europepmc 2026 置信度 0.80
• Artificial intelligence-based analysis of visual electrophysiological signals for clinical interpretation support.
  Introduction Visual electrophysiology, including electroretinograms (ERG) and visual evoked potentials (VEP), provides a real-time functional assessment of retinal and post-retinal pathways, complementing structural imaging. Subtypes such as transient, periodi…
  europepmc 2026 置信度 0.80
• Digital and Intelligent Rehabilitation Technologies in Stroke and Neurological Disorders: A Systematic Review of Artificial Intelligence, Virtual Reality, Gamification, and Emerging Therapeutic Platforms in Neurorehabilitation.
  Artificial intelligence (AI), virtual reality (VR), gamification, and telerehabilitation are increasingly incorporated into neurorehabilitation to deliver adaptive, personalized, and remotely accessible interventions for individuals with stroke and other neuro…
  europepmc 2026 置信度 0.80
• A deep learning based NeuroFusionNet approach for automated brain tumor diagnosis from MRI.
  Background Brain tumor diagnosis from magnetic resonance imaging (MRI) remains a challenging task due to the high variability in tumor appearance and the limitations of manual interpretation. Methods To address these challenges, this paper proposes NeuroFusion…
  europepmc 2026 置信度 0.80
• Error-related potentials detection to enhance human-robot collaboration: a mini review.
  Error-related potentials (ErrPs) have been studied to evaluate wrong decisions or actions in several contexts. An ErrP is an electrical potential on the scalp generated by the perception of errors and occurs unwittingly. In human-robot collaboration (HRC), Err…
  europepmc 2026 置信度 0.80
• In-ear EEG wearables for brain activity assessment and cognitive rehabilitation: the emerging role of multimodal embedded intelligence.
  This literature review critically examines the design, validation, and application of non-invasive in-ear electroencephalography (ear-EEG) systems as emerging wearable platforms for long-term neurophysiological monitoring and intervention. Following PRISMA gui…
  europepmc 2026 置信度 0.80
• Self-experienced empathetic behaviour patterns in medical students during virtual patient encounters: a comparison between an AI-enhanced social robot and a computer-based platform.
  Objective To explore whether an AI-enhanced social robotic virtual patient (VP) platform reinforces empathetic behaviour patterns in medical students compared with a traditional computer-based platform. Methods Twenty-three sixth-semester medical students from…
  europepmc 2026 置信度 0.80
• Electroencephalogram-Based Analysis of Monomodal and Multimodal Interaction in Mixed Reality Games.
  Mixed reality (MR) technologies enable users to experience computer-generated content within the physical environment through spatial computing and head-mounted displays. By supporting real-time interaction through speech, gesture, gaze, and movement, MR offer…
  pubmed Paranthaman PK, Bajaj N, LaMont L 2026 置信度 0.82
• Prompt engineering in the age of generative AI: Insights from public discourse on social media.
  Background Public discourse on "prompt engineering" has grown rapidly, but large-scale evidence on how people discuss it is limited. The nascent coinage describes a user journey of optimizing text-based parameters within large language models and generative AI…
  europepmc 2026 置信度 0.80
• ArmBCIsys: Robot Arm BCI System With Time-Frequency Network for Multiobject Grasping.
  Brain-computer interface (BCI) offers a direct communication and control channel between the human brain and external devices, presenting new pathways for individuals with physical disabilities to operate robotic arms for complex tasks. However, achieving mult…
  europepmc 2025 置信度 0.80
• Law, neuroscience, and authenticity by design: protecting users' minds in the digital sphere.
  Contemporary digital technologies reshape human deliberation through micro-targeting, persuasive design, and algorithmic systems capable of anticipating and steering behaviour. Cognitive autonomy thus emerges as a central legal value. The analysis of the Europ…
  europepmc 2026 置信度 0.80
• Thalamus: a real-time system for synchronized, closed-loop multimodal behavioral and electrophysiological data capture.
  Precise and synchronized multimodal data capture in neurosurgical environments is essential for further understanding brain function and will be crucial to advancing the development of brain-computer interface technology. We have developed an open-source softw…
  europepmc 2026 置信度 0.80
• Neurodatascience: Past, Present, and Future.
  The study of the brain is a compelling example of the power of convergent science. Over the last few decades, advances in neuroscience techniques and experimentation, as well as in data science tools to analyze the resulting data, have dramatically furthered o…
  europepmc 2026 置信度 0.80
• Reliability and stability of Bioelectronic Medicine: a critical and pedagogical perspective.
  Bioelectronic Medicine relies on wearable or implantable electronic devices interfacing with the nervous system and other active tissues, offering innovative therapeutic solutions. However, the long-term reliability and stability of these devices remain critic…
  europepmc 2025 置信度 0.80
• Flexible and Wearable Sensors-Design, Fabrication Methods, and Applications.
  The rapid advancement of the Internet of Things (IoT), artificial intelligence (AI), and personalized healthcare has catalyzed an unprecedented demand for flexible and wearable sensor technologies [...].
  europepmc 2026 置信度 0.80
• A Novel Cell-Cell Communication Structure: Tanycyte and Cilia Hypothalamic Unifying Glia-cilia Structure (HUGS).
  Primary cilia, microtubule-based sensory organelles that mediate cell-cell communication, may facilitate signaling in the brain through direct physical contacts (e.g., synapse-like structures). Similarly, specialized glial cells lining the third ventricle (3V)…
  europepmc 2026 置信度 0.80
• Did you know? State-of-the-art preprocessing diffusion MRI data can improve tractography.
  Diffusion MRI fiber tractography is sensitive to noise and artifacts in diffusion-weighted images, and these challenges can propagate into fiber-orientation estimation and the tractography process. In this “Did You Know” communication, we synthesize evidence t…
  europepmc 2026 置信度 0.80
• Brain Connectivity Variability Influences Anxiety Through the Behavioral Inhibition System.
  The behavioral inhibition system (BIS), mediating responses to punishment cues and avoidance behaviors, is implicated in anxiety. However, the neural dynamics underpinning BIS, particularly regarding the temporal variability of brain network interactions, rema…
  europepmc 2026 置信度 0.80
• Efficacy of the Conventional Rehabilitation Robot and bio-Signal Feedback-Based Rehabilitation Robot on Upper-Limb Function in Patients with Stroke: A Systematic Review and Network Meta-Analysis.
  BackgroundWith the development of modern biomedical engineering, bio-signal feedback-based robots, such as electromyography (EMG)-based and brain-computer interface (BCI)-based rehabilitation robot, have emerged beyond conventional designs. However, their comp…
  pubmed Zhou L, Zhang B, Kang R, Wang Y 等 2025 置信度 0.82
• Bioelectronic medicine: wearable and implantable electronics.
  europepmc 2025 置信度 0.80
• Neurodevelopmental deviations in schizophrenia: Evidences from multimodal connectome-based brain ages.
  Background Pathologic schizophrenia processes originate early in brain development, leading to detectable brain alterations via structural and functional magnetic resonance imaging (MRI). Recent MRI studies have sought to characterize disease effects from a br…
  europepmc 2025 置信度 0.80
• Acute Effects of Portable Dry-EEG Neurofeedback on Classical Chinese Learning: A Three-Arm Repeated-Measures Study.
  Dry-electrode electroencephalography (dry-EEG) systems offer promising opportunities for real-time neurofeedback in naturalistic educational settings, yet their effectiveness in supporting complex language learning remains underexplored. This study investigate…
  pubmed Song K, Liu Y, Xu P 2025 置信度 0.82
• From Static Diagnosis to Dynamic Guidance : Evolution of Artificial Intelligence in Pediatric Neuroimaging.
  The pediatric brain represents a dynamic biological target characterized by rapid myelination and functional reorganization, which presents unique challenges for conventional, adult-centric artificial intelligence (AI) models. This review provides a structured…
  europepmc 2026 置信度 0.80
• Personalized cognitive enhancement for older adults: An aging-friendly closed-loop human-machine interface framework.
  pubmed Zhou S, Liu Y, Turnbull A, Tapparello C 等 2025 置信度 0.82
• Co-simulation framework combining a microscopically detailed point neuron model of the hippocampal CA1 region with the macroscopic high-resolution virtual brain model.
  The human brain is a complex adaptive system characterized by dynamic processes operating across multiple spatio-temporal scales. Capturing these dynamics requires computational models that can integrate different levels of resolution. In this work we present …
  europepmc 2026 置信度 0.80
• Virtual Reality-Assisted Rehabilitation for Upper-Limb Function in Stroke Survivors: A Systematic Review.
  Background: Upper-limb impairment is a major contributor to chronic disability after stroke. Conventional recovery protocols frequently suffer from poor adherence, limited accessibility, and insufficient intensity for prolonged rehabilitation. Methods: We perf…
  europepmc 2026 置信度 0.80
• EEG dataset for natural image recognition through visual stimuli.
  Electroencephalography (EEG) is a technique for measuring the brain's electrical activity in the form of action potentials with electrodes placed on the scalp. Because of its non-invasive nature and ease of use, the approach is becoming increasingly popular fo…
  europepmc 2025 置信度 0.80
• Give us a hand, mate! A holistic review of research on human-machine teaming.
  Defence has a significant interest in the use of artificial intelligence (AI)-based technologies to address some of the challenges it faces. At the core of future military advantage will be the effective integration of humans and AI into human-machine teams (H…
  europepmc 2025 置信度 0.80
• Development of a Computer Program for Determining the Dose of Laser Radiation (860 nm) Received by Tumor and Breast Tissue.
  Laser therapy (860-910 nm) has been used to treat cancer since 1988. A key challenge is determining the dose of laser radiation absorbed by the tumor. Attenuation coefficients of laser radiation were determined for different breast tissues at various tissue th…
  europepmc 2026 置信度 0.80
• A Bibliometric Analysis of the Application of Brain-Computer Interface in Rehabilitation Medicine Over the Past 20 Years.
  Objective This study aims to conduct a bibliometric analysis of the application of brain- computer interface (BCI) in rehabilitation medicine, assessing the current state, developmental trends, and future potential of this field. By systematically analyzing re…
  europepmc 2025 置信度 0.80
• Neuromodulation and rehabilitation of post-stroke cognitive impairment: challenges and prospects.
  It is essential to recognize the significant daily impact that post-stroke cognitive impairment (PSCI) has on patients and their families. Neuromodulation strategies have been increasingly applied in the clinical management of PSCI. This review outlines the me…
  europepmc 2026 置信度 0.80
• Muscle myography for human-machine interfaces: a review of sensing modalities and control interfaces.
  Muscle myography encompasses a family of techniques for sensing muscle activity through its electrical, mechanical, and optical manifestations, offering non-invasive and embodied pathways for human-machine interaction. Unlike traditional input devices that are…
  europepmc 2026 置信度 0.80
• Hand movements prediction via fNIRS and AI algorithms.
  BACKGROUND: Hand movement prediction enables the creation of personalized rehabilitation programs that align with individual neural patterns. It is particularly beneficial for patients recovering from strokes or other motor impairments, allowing therapists to …
  europepmc 2026 置信度 0.80
• AI-driven tripartite classification for optimizing wearable bioelectronics in depression management.
  Current disease-sensing devices primarily focus on distinguishing between healthy and diseased states, effective for diagnosis but limited in guiding optimal intervention timing for prevention. We developed a tripartite framework identifying pre-disease state …
  europepmc 2026 置信度 0.80
• Canadian copyright protections for neurodata: ethical and legal implications.
  This essay examines how Canadian copyright law treats neurodata generated for neuroprediction and further probes if copyright or similar protections would offer mechanisms to safeguard individuals who produce those data. Using a hypothetical fact pattern, we a…
  europepmc 2026 置信度 0.80
• AI Privacy and Security in Healthcare: A Systematic Literature Review.
  Background Artificial intelligence is expanding into telemedicine and telerehabilitation, yet significant privacy and security concerns persist. Scope To synthesize empirical evidence on privacy and security approaches in health care, particularly those releva…
  europepmc 2026 置信度 0.80
• Adhesive-Electrocoupling Hydrogels for Tissue Regeneration: Design, Mechanisms, and Perspectives.
  Endogenous bioelectric signals serve as pivotal physiological cues that govern cellular behavior and tissue regeneration. Conductive hydrogels have become a disruptive platform in the field of tissue engineering because they can promote tissue repair by utiliz…
  europepmc 2026 置信度 0.80
• Protocol to design and implement scalable wireless network system for high-throughput, automated behavioral and circuit neuroscience in mice.
  Here, we present a protocol for implementing scalable, modular hardware and software infrastructure to remotely operate programmable miniaturized networks of wireless neural devices in mice. We describe steps for fabricating remote control module (RCM) hardwar…
  europepmc 2026 置信度 0.80
• Evaluating EEG-to-text models through noise-based performance analysis.
  Brain-computer interfaces (BCIs) have the potential to revolutionize communication for individuals with severe disabilities. EEG-to-text models, which translate brain signals into written language, offer a promising avenue for restoring communication abilities…
  pubmed Jo H, Yang Y, Han J, Duan Y 等 2025 置信度 0.82
• Comparison of neural signal sources for discriminating "crave" and "don't crave" task conditions: Implications for fMRI neurofeedback.
  Numerous prior studies have shown that neural features can be voluntarily modulated through real-time functional magnetic resonance imaging (rtfMRI)-based neurofeedback (NF), and that such modulation can influence cognitive and affective states, as well as imp…
  europepmc 2026 置信度 0.80
• The use of digital technology in non-pharmacological cognitive and psychosocial interventions for people with dementia and mild cognitive impairment: A scoping review.
  Objective The purpose of this scoping review was to identify, geographically map, and understand what and how novel digital technologies are being used for providing cognitive training and psychosocial interventions that aim at preserving cognitive and everyda…
  europepmc 2026 置信度 0.80
• How to Foster Challenging Interdisciplinary Collaborations: Can Philosophy Support Neuroscientists?
  New conceptual and technological developments bring neuroscientists closer to other disciplines and other fields in neuroscience with different traditions. Although some neuroscientists may underrate the potential benefits of successful interdisciplinary colla…
  europepmc 2026 置信度 0.80
• Transformer-based emotion recognition in interactive art: A multimodal neural approach.
  Understanding how interactive digital art affects emotional states is essential to advance research into the interface between affective neuroscience and human-computer interaction. Although previous studies have used either EEG or self-reported measures to ev…
  europepmc 2026 置信度 0.80
• Transcranial Direct Current Stimulation to Augment Motor Imagery Training: A Systematic Review.
  Motor imagery training (MIT) is a widely used technique for motor learning and recovery. To optimize training outcomes, researchers have explored the integration of MIT with complementary approaches. One such approach is transcranial direct current stimulation…
  pubmed Bek J, Aziz A, Brady N 2025 置信度 0.82
• Explainability in AI-enabled medical neurotechnology: a scoping review.
  pubmed Schopp L, Starke G, Ienca M 2026 置信度 0.82
• Research of Tuberous Sclerosis Complex (TSC)-Associated Neuropsychiatric Disorders (TAND) in China.
  Tuberous sclerosis complex (TSC) is a multisystem genetic disorder. Neuropsychiatric manifestations (TSC-associated neuropsychiatric disorders [TAND]) are nearly universal and a key quality of life determinant but often overlooked.
  pubmed Zheng F, Yu T, Salim Ahmad I, Zhao X 等 2026 Aug 置信度 0.82
• Material damage to multielectrode arrays after electrolytic lesioning is insignificant.
  The quality of stable long-term recordings from chronically implanted electrode arrays is essential for experimental neuroscience and brain-computer interfaces. This work uses scanning electron microscopy (SEM) to image and analyze eight 96-channel Utah arrays…
  pubmed Tor A, Clarke SE, Bray IE, Nuyujukian P 等 2026 Jun 19 置信度 0.82
• Intermittent Theta-Burst Stimulation (iTBS) Improves Motor Coordination and Modulates Neuroinflammation and Autophagy in SCA3/MJD Mice.
  Spinocerebellar ataxia type 3/Machado-Joseph disease (SCA3/MJD) is an autosomal dominant neurodegenerative disorder characterized by misfolded ataxin-3 aggregation and neuronal intranuclear inclusions. Its primary symptom is progressive ataxia, progressively r…
  pubmed Chen LW, Lian YH, Dong XL, Luo KL 等 2026 May 25 置信度 0.82
• An EEG-EMG-kinematics dataset from wrist pointing tasks for biomarker research in neurorehabilitation.
  This work presents a multimodal dataset containing synchronized electroencephalography (EEG), electromyography (EMG), and kinematic recordings acquired during wrist motor tasks performed with a three degree of freedom robotic exoskeleton (BiomechWrist) coupled…
  pubmed Perez-Blanco JG, Huegel JC, Hernández-Rojas LG, Valdez-Calderón A 等 2026 Apr 22 置信度 0.82
• Elevation in network dynamics amplifies amyloid-dependent tau pathology.
  The role of brain network dynamics in relation to amyloid beta (Aβ) and tau pathology across Braak stages remains unclear.
  pubmed Li J, Yi Y, Gan L, Bezgin G 等 2026 Apr 置信度 0.82
• Investigating the role of therapist-patient interaction during robot-assisted gait training after incomplete spinal cord injury: the INTER-RO-GAIT randomized controlled trial.
  In the neurorehabilitation framework of treadmill-based robot-assisted gait training (t-RAGT), a threefold relationship among physiotherapist (Pht), patient (Pt), and the selected robotic device should be considered. Furthermore, the type of visual FeedBack (F…
  pubmed Toppi J, Pichiorri F, Ciaramidaro A, Mohebban S 等 2026 Mar 24 置信度 0.82
• A visual imagery paradigm for BCI strategies using imagined flickering patterns.
  Steady state visually evoked potentials (SSVEPs) are a popular type of control signals in brain-computer interfaces (BCIs), in which they are typically elicited by observing a visual stimulus flashing at a specific frequency. For some patients, using SSVEP as …
  pubmed Priori S, Ricci P, Consoli D, Micheli A 等 2026 Mar 4 置信度 0.82
• Multisession fNIRS-EEG data of Post-Stroke Motor Recovery. Recordings During Intact and Paretic Hand Movements.
  Accurate diagnosis and monitoring of recovery after stroke are critical for effective motor rehabilitation. As stroke is inherently associated with impaired cerebral blood flow, functional near-infrared spectroscopy (fNIRS) provides a valuable tool for assessi…
  pubmed Medvedeva A, Syrov N, Yakovlev L, Alieva Y 等 2026 Feb 14 置信度 0.82
• Access technologies for people with significant motor impairment with potential to impact speed and/or accuracy of communication: a scoping review.
  Individuals with significant communication and physical impairments often rely on augmentative and alternative communication (AAC) to facilitate independent communication across a range of communication partners and settings. Due to physical impairments, many …
  pubmed Murphy A, Schaly S, Chiu D, Mitchell A 等 2026 Feb 6 置信度 0.82
• Delta Opioid Receptors within the Cortico-Thalamic Circuitry Underlie Hyperactivity Induced by High-Dose Morphine.
  Hyperactivity is a well-documented neurobehavioral effect of morphine and other opioid drugs, predominantly observed in rodent models, yet the neural circuits and molecular mechanisms underlying this effect remain elusive. In this study, an excitatory projecti…
  pubmed Li CY, Huang H, Shen XF, Cao KL 等 2026 Feb 置信度 0.82
• Predicting spiking activity from scalp EEG.
  Objective. Despite decades of electroencephalography (EEG) research, the relationship between EEG and underlying spiking dynamics remains unclear. This limits our ability to infer neural dynamics reflected in intracranial signals from EEG, a critical step to b…
  pubmed Sharma D, Krekelberg B 2025 Dec 19 置信度 0.82