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• Unveiling the upper-limb functional recovery mechanisms in stroke patients using brain-machine interfaces: a near-infrared functional imaging-based study.
  pubmed Zhang J, Zhang ZY, Wang YL, Zhou B 等 2025 置信度 0.82
• Neurorehabilitation technologies and functional recovery after brain injury: influence of sex, an integrative review.
  pubmed Bennett P, Barr N 2025 置信度 0.82
• HWI encoding/decoding of a non-invasive HWI-BCI paradigm based on temporal variation abundance scale.
  The performance of non-invasive Handwriting Imagery (HWI) input in Brain-computer interface (BCI) systems is highly dependent on the paradigms employed, yet there is limited research on interpretable scales to measure how HWI-BCI paradigms and neural encoding …
  europepmc 2025 置信度 0.80
• TFDISNet: Temporal-frequency domain-invariant and domain-specific feature learning network for enhanced auditory attention decoding from EEG signals.
  Auditory Attention Decoding (AAD) from Electroencephalogram (EEG) signals presents a significant challenge in brain-computer interface (BCI) research due to the intricate nature of neural patterns. Existing approaches often fail to effectively integrate tempor…
  pubmed He Z, Wang Y 2025 置信度 0.82
• Subject-specific feature extraction approach for a three-class motor imagery-based brain-computer interface enabling navigation in a virtual environment: open-access framework.
  Brain-Computer Interface (BCI) is a system that aids individuals with disabilities to establish a novel communication channel between the brain and computer. Among various electrophysiological sources that can drive a BCI system, Motor Imagery (MI) facilitates…
  europepmc 2025 置信度 0.80
• Advancements in the application of brain-computer interfaces based on different paradigms in amyotrophic lateral sclerosis.
  Amyotrophic lateral sclerosis (ALS) is a progressive neurological condition that leads to the gradual loss of movement and communicative abilities, significantly diminishing the quality of life for affected individuals. Recent advancements in neuroscience and …
  pubmed Li T, Gao Y, Zhou J, Chen Y 等 2025 置信度 0.82 Brain–computer interfaceAmyotrophic lateral sclerosisComputer scienceNeuroscienceHuman–computer interaction
• EEG and EMG dataset for analyzing movement-related cortical potentials in hand gesture tasks.
  This dataset contains electroencephalography (EEG) and electromyography (EMG) recordings acquired during the execution of specific motor tasks aimed at eliciting movement-related cortical potentials (MRCP). The goal is to provide an accessible resource for res…
  europepmc 2026 置信度 0.80
• Efficacy of brain-computer interface with functional electrical stimulation, transcranial direct current stimulation, and conventional therapy on upper limb recovery after stroke: a systematic review and network meta-analysis.
  pubmed Zhang L, Zhang M, Zhang Y, Li N 等 2025 置信度 0.82
• Wearable optomyography enables continuous neuroprosthetic control.
  Wearable devices are increasingly used to enable human-machine interfaces, such as typing or cursor control, through wristbands that translate surface electromyographic (sEMG) signals into computer commands. However, traditional sEMG techniques face several li…
  europepmc 2026 置信度 0.80
• Dynamic Instance-Level Graph Learning Network of Intracranial Electroencephalography Signals for Epileptic Seizure Prediction.
  Brain-computer interface (BCI) technology is emerging as a valuable tool for diagnosing and treating epilepsy, with deep learning-based feature extraction methods demonstrating remarkable progress in BCI-aided systems. However, accurately identifying causal re…
  europepmc 2025 置信度 0.80
• Enhancing the Warfighter: Ethical, Legal, and Strategic Implications of Brain-Machine Interface-Enabled Military Exoskeletons.
  pubmed Greenbaum D 2025 置信度 0.82
• A novel paradigm based on radar-like scanning for directional recognition in event-related potentials based brain-computer interfaces.
  Background Event-related potentials (ERPs) based brain-computer interface (BCI) systems have shown significant potential for directional control applications. Existing paradigms are constrained by the limited scalability of directional commands that demand int…
  europepmc 2025 置信度 0.80
• Body Cosmos 2.0: embodied biofeedback interface for dancing.
  This study presents Body Cosmos 2.0, an embodied biofeedback system with an interactive interface situated at the intersection of dance, human-computer interaction, and bio-art. Building on the authors' prior work, "Body Cosmos: An Immersive Experience Driven …
  europepmc 2025 置信度 0.80
• Brain Implants in the Age of Artificial Intelligence.
  europepmc 2025 置信度 0.80
• Correction: A multiple session dataset of NIRS recordings from stroke patients controlling brain-computer interface.
  In this article there was an error in the Local Ethics Committee protocol number. The sentence currently reads, ‘The study protocol was approved by the Local Ethics Committee of the Research Center of Neurology (approval to conduct the study and share the data…
  europepmc 2025 置信度 0.80
• Validation of a Novel Protocol for Whole-Sentence Imagined Speech Acquisition: Advancing Brain-Computer Interface Applications.
  This study aims to validate a novel protocol for whole-sentence imagined speech acquisition, building upon and addressing limitations of a previous single-word acquisition protocol. Eight participants (gender-balanced, mean age 21.3±6 years) were recruited for…
  europepmc 2025 置信度 0.80
• Speech Neurophysiology in Realistic Contexts: Big Hype or Big Leap?
  Understanding the neural basis of speech communication is essential for uncovering how sounds are translated into meaning, how that changes with development, ageing and speech-related deficits, as well as contributing to brain-computer interfaces research. Whi…
  pubmed Di Liberto GM, Ip EYJ 2026 置信度 0.82
• Iterative prior-guided parcellation (iPGP) for capturing inter-subject and inter-nuclei variability in thalamic mapping.
  The thalamus, a critical relay station in the brain, consists of multiple nuclei that play essential roles in various brain circuits. Identifying these nuclei is crucial for understanding how thalamic structures influence cognitive functions. However, genetic …
  europepmc 2025 置信度 0.80
• Msst-eegnet: multi-scale spatio-temporal feature extraction using inception and temporal pyramid pooling for motor imagery classification.
  Motor imagery classification is an essential component of Brain-computer interface systems to interpret and recognize brain signals generated during the visualization of motor imagery tasks by a subject. The objective of this work is to develop a novel DL mode…
  pubmed Mishra R, Agrawal RK, Kirar JS 2025 置信度 0.82
• Editorial: Passive brain-computer interfaces: moving from lab to real-world application.
  pubmed Ronca V, Longo L, Capotorto R, Aricò P 2026 置信度 0.82
• From Physical Replacement to Biological Symbiosis: Evolutionary Paradigms and Future Prospects of Auditory Reconstruction Brain-Computer Interfaces.
  Auditory Brain-Computer Interfaces (BCIs) constitute the vital intervention for profound sensorineural hearing loss where the auditory nerve is compromised, yet their clinical efficacy remains restricted by substantial biological bottlenecks and limited spectr…
  europepmc 2026 置信度 0.80
• Artificial Intelligence-driven Innovation: Patent and Publication Analysis of ChatGPT-generated Ideas for Upper Extremity Prosthetics.
  Background ChatGPT, a large language model artificial intelligence (AI), has been used to augment patient-facing information, aid in resident education, and support research endeavors. The purpose of this study was to investigate an alternative use of AI by an…
  europepmc 2025 置信度 0.80
• Open access individual finger movement dataset with fNIRS.
  Functional near-infrared spectroscopy (fNIRS) is a neuroimaging modality with an acceptable spatial and temporal resolution that enables continuous, non-invasive, portable, safe, and affordable monitoring of blood oxygenation and blood volume (Pinto-Orellana e…
  europepmc 2026 置信度 0.80
• The Influence of M1 and DLPFC iTBS on BCI Performance: A TMS and fNIRS Study.
  Brain-computer interface (BCI) control inefficiency often occurs in stroke survivors due to insufficient sensorimotor activity generated during motor imagery. Previous studies focused on upregulating excitability of primary motor cortex (M1) alone. Dorsolatera…
  pubmed Chen J, Li YW, Yao ST, Huang YH 等 2026 置信度 0.82
• MTSNet: Convolution-Based Transformer Network With Multi-Scale Temporal-Spectral Feature Fusion for SSVEP Signal Decoding.
  Improving the decoding performance of steady-state visual evoked (SSVEP) signals is crucial for the practical application of SSVEP-based brain-computer interface (BCI) systems. Although numerous methods have achieved impressive results in decoding SSVEP signal…
  europepmc 2025 置信度 0.80
• EEG features and suitable decoding algorithm of RSVP-based brain-computer interface in continuous scenes.
  Brain-computer interface (BCI) based on rapid serial visual presentation (RSVP) hold significant value for achieving robust target detection through the integration of human and machine. RSVP in continuous scenes presents video materials and is thus much close…
  europepmc 2025 置信度 0.80
• Evoked potentials in stroke rehabilitation: current applications, emerging technologies, and future directions.
  Evoked potentials (EPs) are increasingly explored as objective neurophysiological biomarkers to complement scale-based assessment in stroke rehabilitation. This narrative review summarizes current evidence on the use of somatosensory evoked potentials (SEPs), …
  europepmc 2026 置信度 0.80
• Neural decoding reliability: Breakthroughs and potential of brain-computer interfaces technologies in the treatment of neurological diseases.
  pubmed Li J, Zhang W, Liao Y, Qiu Y 等 2025 置信度 0.82
• anndataR improves interoperability between R and Python in single-cell transcriptomics.
  Summary Many single-cell transcriptomics datasets are stored in the HDF5-backed AnnData (H5AD) file format, as popularized by the Python scverse ecosystem. However, accessing these datasets from R, allowing users to take advantage of the strengths of each lang…
  europepmc 2026 置信度 0.80
• Atomically Precise Clusterzymes: A Programmable Optoelectronic Platform for Neuroscience.
  pubmed Sun S, Liu D, Zhou S, Wang Y 等 2026 置信度 0.82
• A Study of Brain-Computer Interface Recognition Performance Crossing Action Observation Paradigms.
  Action observation-based brain-computer interface (AO-BCI) could induce visual motor imagery through biological motion while relying on its movement frequency to stimulate steady-state visual evoked potential. This hybrid BCI with dual-brain-region activation …
  europepmc 2025 置信度 0.80
• Genetic contribution to intrinsic functional connectivity underlying general intelligence: evidence from adult twin study.
  Resting-state functional connectivity has been linked to intelligence, and twin studies suggest that these associations may be influenced by genetic factors. To investigate this relationship, we analysed behavioural and resting-state functional magnetic resona…
  europepmc 2025 置信度 0.80
• Soft Neural Interfaces for Circuit-Level Analysis of Magnetogenetic Deep Brain Stimulation in Parkinson's Disease Models.
  Magnetogenetic deep brain stimulation (MG-DBS) represents a wireless neuromodulation that has demonstrated long-lasting behavioral benefits in Parkinson's disease models. However, the circuit-level mechanisms underlying these therapeutic effects have remained …
  europepmc 2026 置信度 0.80
• Magnetoencephalography (MEG) based non-invasive Chinese speech decoding.
  Objective. As an emerging paradigm of brain-computer interfaces (BCIs), speech BCI has the potential to directly reflect auditory perception and thoughts, offering a promising communication alternative for patients with aphasia. Chinese is one of the most wide…
  europepmc 2025 置信度 0.80
• The role of fNIRS in assessing motor function: A bibliometric review on extremity applications.
  Understanding the mechanisms that control motor movements in the brain is crucial to understand neurological disorders and brain plasticity. Functional near-infrared spectroscopy (fNIRS) is an increasingly popular noninvasive method for investigating these pro…
  europepmc 2025 置信度 0.80
• Revealing spatiotemporal neural activation patterns in electrocorticography recordings of human speech production by mutual information.
  pubmed Kovacs J, Krusienski D, Maninder M, Wriggers W 2025 Dec 置信度 0.82
• Personalized non-invasive combined magnetic and electrical stimulation of the default mode network in mild AD patients (CMES-AD): a multicentric randomized sham-controlled trial protocol.
  Patients with Alzheimer's disease (AD) exhibit early alterations in the Default Mode Network (DMN), a key brain network involved in episodic memory where the precuneus plays a central role. Precision-targeted, non-invasive brain stimulation represents a promis…
  pubmed Bonnì S, Esposito R, Mencarelli L, Di Lorenzo F 等 2026 Jul 21 置信度 0.82
• Analysis of a BMI System for the Assessment of Cognitive Motor Engagement for the Neurorehabilitation of Patients with Lower-Limb Impairment.
  Brain-Machine Interfaces (BMIs) hold significant promise for the neurorehabilitation of patients with lower-limb impairments. However, their widespread clinical adoption is hindered by high costs and system complexity. This study presents an open-loop, low-cos…
  pubmed Cavaliere-Ballesta C, Ortiz M, Quiles V, Polo-Hortigüela C 等 2026 置信度 0.82
• Eye-Tracking Technologies for Cognitive Assessment After Acquired Brain Injury: Systematic Review.
  pubmed Calderone A, De Luca R, Corallo F, Calapai R 等 2026 Jun 2 置信度 0.82
• Data-driven differentiation analysis of urban high-tech industries: Research on bibliometrics and large language models.
  This study examines inter-city heterogeneity in China's high-tech industries from a regional innovation systems (RIS) perspective, with a particular focus on how variations in knowledge production, technological application, and actor configurations are associ…
  pubmed Song H, Zeng J, Zheng Y, Huang H 等 2026 置信度 0.82
• Muscle energy techniques for post-stroke spasticity: mechanisms and clinical applications.
  Spasticity is a common and disabling complication after stroke, often leading to progressive joint stiffness, restricted movement, and reduced functional independence. Current management strategies for post-stroke spasticity (PSS) are limited by inconsistent e…
  pubmed Qian L, Shi Y, Liu W, Yao Q 2026 置信度 0.82
• Neuroengineering Frontiers: A Selective Review of Neural Interfaces, Brain-Machine Interactions, and Artificial Intelligence in Neurodegenerative Diseases.
  Neurodegenerative diseases, including Alzheimer's disease (AD) and Parkinson's disease (PD), present a growing public health challenge globally. Recent advancements in neurotechnology and neuroengineering have significantly enhanced brain-computer interfaces, …
  pubmed Usman M, Ashebir S, Okey-Mbata C, Yun Y 等 2025 置信度 0.82 Neural engineeringNeuroscienceComputer scienceInterface (matter)Artificial intelligence
• Fundamental questions on closed-loop neuromodulation: a control theory perspective.
  Closed-loop neuromodulation aims to adjust therapeutic stimulation in real time based on ongoing neural or physiological signals. Despite growing clinical adoption, most implementations rely on heuristic rules rather than a principled systems-and-control formu…
  pubmed Wang M, Zhang L, Liang Z, Huang G 2026 Dec 置信度 0.82
• Multi-omics analysis of deep brain stimulation associated with brain-gut axis modulation and symptom amelioration in a Parkinson's disease mouse model.
  This study aimed to systematically elucidate the molecular mechanisms underlying PD-associated brain-gut dysfunction through multi-omics analyses and to evaluate the therapeutic potential of combined Deep Brain Stimulation (DBS) and Brain-Computer Interface (B…
  pubmed Song Y, Yang C, Tu J, Dong J 等 2026 May 6 置信度 0.82
• Multi-Scale convolutional neural networks integrated with self-attention for motor imagery EEG decoding.
  Brain-computer interface (BCI), as a cutting-edge technology with great application prospects, has received widespread attention in recent years. Motor imagery (MI) electroencephalography (EEG) classification is a key component of brain-computer interfaces, wi…
  pubmed Duan S, Li P, Yuan D, Wang K 等 2026 May 置信度 0.82
• Most Effective Interventions for Improving Upper Extremity Function in Patients with Hemiparesis.
  Hemiparesis, commonly resulting from stroke, leads to significant impairments in upper extremity function, limiting daily activities and reducing quality of life. Effective rehabilitation strategies are essential to enhance motor recovery and restore functiona…
  pubmed Aabedi A, Mashiach D, Fraix MP, Agrawal DK 2026 置信度 0.82
• EEG biomarkers of the sense of embodiment: methodological gaps and evidence-based recommendations from a systematic review.
  The sense of embodiment (SoE), describing the experience of owning, controlling, and being located within a body, underpins virtual reality (VR) interaction, brain-computer interfaces (BCIs), and multisensory body-illusion research. Although SoE is typically a…
  pubmed Esteves D, Vourvopoulos A 2026 置信度 0.82
• Robotic rehabilitation and intelligent algorithms improving the performance skills of stroke patients: a scoping review.
  This scoping review highlights major advances and persisting gaps in robotic and AI-driven rehabilitation for stroke, evaluating their impact on hand strength, dexterity, and ROM, and offering clinicians practical, updated guidance.
  pubmed Rustamzadeh O, Hosseini SA, Tanha RR, Akbarfahimi N 2026 Jun 置信度 0.82
• Spectrally Defined Bipolar Black Phosphorus Memristor Enables All-Optical Boolean Logic and Multispectral Computing.
  pubmed Ke S, Li Y, Qu Y, Huang H 等 2026 Jul 置信度 0.82
• Correction: Mouse-tracking as a tool for investigating strategic behavior in Public Goods Game: an experimental pilot study.
  pubmed Benachour A, Medvedev V, Zinchenko O 2026 置信度 0.82
• Brain-Adhesive Bioelectronics With Shape-Morphable and Biodegradable Properties for Stable Brain Signal Monitoring.
  Accurate and temporary monitoring of brain activity is essential for diagnosing and treating neurological diseases. Conventional nondegradable electrocorticogram (ECoG) devices require removal surgery, thus increasing the risk of infection and tissue damage. M…
  pubmed Choi H, Kim S, Park J, An S 等 2026 Apr 置信度 0.82
• A concise mathematical description of signal transformations across the hippocampal apical CA3 to CA1 dendritic response.
  pubmed Gattas S, Le AA, Karimi Abadchi J, Pruess B 等 2025 置信度 0.82
• Relational Database-Based Resource-Provenance Visualization Engine: with an application to BICAN data.
  Provenance tracking ensures data integrity, security, and accountability in healthcare and biomedical research. As biomedical data grows in complexity, comprehensive tracking mechanisms are needed to maintain reproducibility, transparency, and compliance with …
  pubmed Li X, Huang Y, Ng L, Smith KA 等 2024 置信度 0.82
• Unified Resource Browser: An Interactive and Reconfigurable Web Framework for Biomedical Metadata Exploration, Visualization, and Management.
  We present Unified Resource Browser, a web-based framework designed to optimize the configuration, exploration, visualization, and dissemination of complex biomedical metadata. As a core component of Neuroanatomy-Anchored Information Management Platform (NIMP)…
  pubmed Lin S, Tong L, Smith KA, Ng L 等 2024 置信度 0.82
• Deep Learning-Based Decoding and Feature Visualization of Motor Imagery Speeds From EEG Signals.
  pubmed Todoroki S, Phunruangsakao C, Goto K, Kutsuzawa K 等 2026 置信度 0.82
• Deep learning approaches for EEG-based healthcare applications: a comprehensive review.
  pubmed Lyu R 2025 置信度 0.82
• Resting-state gamma power in schizophrenia: a systematic review and meta-analysis.
  pubmed Liu Y, Xu P, Hu S 2025 置信度 0.82
• metaConvert: an automatic suite for estimation of 11 different effect size measures and flexible conversion across them.
  pubmed Gosling CJ, Cortese S, Solmi M, Haza B 等 2025 May 置信度 0.82
• Human cognitive enhancement and reprogenetic technologies in Malaysia - A survey study of local Muslim undergraduate students' viewpoints.
  pubmed Muhsin SM, Akbar MA, Mustari S, Alashaikh MH 等 2025 置信度 0.82
• A general model based on Riemannian manifold for stable decoding movement trajectory from ECoG signals.
  pubmed Eyvazpour R, Farrokhi B, Erfanian A 2026 Feb 20 置信度 0.82
• Investigating singing imagery as an additional or alternative control task for EEG-based Brain-Computer Interfaces.
  pubmed Mohammadpour H, Power SD 2025 置信度 0.82
• Cervical Spinal Cord Stimulation for Functional Rehabilitation After Spinal Cord Injury: A Systematic Review of Preclinical and Clinical Studies.
  pubmed Wankner MC, Visser-Vandewalle V, Andrade P, Heiden P 2026 Jan 22 置信度 0.82
• Deep Learning-Based EEG Emotion Recognition: A Review.
  pubmed Liu Y, Xue W, Yang L, Li M 2025 Dec 28 置信度 0.82
• Transcutaneous Auricular Vagus Nerve Stimulation for Treating Emotional Dysregulation and Inflammation in Common Neuropsychiatric Disorders.
  pubmed Tyler WJ 2025 Dec 20 置信度 0.82
• The sixth bioelectronic medicine summit: Neurotechnologies for individuals and communities.
  pubmed Bahadir S, Robinson JT, Morse LR, Yoo PB 等 2026 置信度 0.82
• Advances in AI-Driven EEG Analysis for Neurological and Oculomotor Disorders: A Systematic Review.
  pubmed Mehmood F, Rehman SU, Mehmood A, Kim YJ 2025 Dec 24 置信度 0.82
• Islamic Bioethics Viewpoint on Elective Brain Chip Implants and Brain-Computer Interfaces for Enhancing Academic Performance in Competitive Examinations.
  pubmed Chin AHB, Roslan R, Alsomali N, Al-Balas Q 等 2026 Jan 置信度 0.82
• AMANet: a data-augmented multi-scale temporal attention convolutional network for motor imagery classification.
  pubmed Wang S, Wang R, Chang L, Wu J 等 2025 置信度 0.82
• Toward zero-calibration MEG brain-computer interfaces based on event-related fields.
  pubmed Kim DU, Yoo MA, Choi SI, Kim MY 等 2026 Jan 置信度 0.82
• Noninvasive BCI-based cognitive rehabilitation in poststroke cognitive impairment: study protocol for a randomized controlled trial.
  pubmed Niu X, Yuan M, Zhang J, Yang J 等 2026 Jan 24 置信度 0.82
• Critical perspectives on thermally-drawn multimaterial and multifunctional fiber-based neural interface for neurochemical sensing and modulation.
  pubmed Savevska A, Guo Y 2026 Aug 置信度 0.82
• From neurotechnology to the classroom: the promise of brain-computer interfaces for training systems engineers.
  This perspective article explores the transformative potential of brain-Computer Interfaces (BCI) in undergraduate systems engineering programs, a domain characterized by high attrition and a widening gap between rapid technological innovation and slower pedag…
  pubmed Nieves-Méndez C, Christian Leonardo Nieves-Méndez 2025 置信度 0.82 Formative assessmentTransformative learningComputer sciencePerspective (graphical)Attrition
• Deep Learning Unveils Health Predictions From EEG and MRI Data.
  pubmed Zafar R, Abdulrab H 2025 Sep-Oct 置信度 0.82
• Thermo-responsive, on-demand adhesive and tissue-conformal hydrogel electrodes for organ repair and brain-computer interfaces.
  pubmed Li Z, Li T, Ge R, Chen F 等 2026 Feb 置信度 0.82
• Spatial Adaptive Selection using Binary Conditional Autoregressive Model with Application to Brain-Computer Interface.
  In medical imaging studies, scalar-on-image regression presents significant challenges due to limited sample sizes and the high-dimensionality of datasets. Additionally, imaging predictors often exhibit spatially heterogeneous activation patterns and complex n…
  pubmed Lin Z, Choi J, Mao R, Zhao B 等 2025 Jun 23 置信度 0.82 Autoregressive modelComputer scienceSpatial analysisSelection (genetic algorithm)Artificial intelligence
• Transfer learning for subject-independent motor imagery EEG classification using convolutional relational networks.
  pubmed Otarbay Z, Kyzyrkanov A 2025 置信度 0.82
• Oxidative stress-driven transcriptomic remodeling in human astrocytes reveals network signatures associated with neurodegenerative and cardiovascular processes.
  pubmed Bota PM, Picón-Pagès P, Fanlo-Ucar H, Almabhouh S 等 2026 置信度 0.82
• Distinct post-sentence neural patterns representing lexical items vs. sentence integration.
  While comprehension marks the starting point in daily communication, the process is only fulfilled when suitable responses or inferences are followed. Listeners retain sentence information after initial comprehension. Although comprehension during listening ha…
  pubmed Gwon Y, Chung CK 2026 Feb 15 置信度 0.82
• Vitamin B12 and Affective Disorders: A Focus on the Gut-Brain Axis.
  pubmed Xu C, Kong L, Mou T, Tang A 等 2025 Dec 置信度 0.82
• Exploring assistive technology in adaptive sports: a bibliometric analysis.
  pubmed Berwal U, Kumar V 2026 Jul 置信度 0.82
• Gaussian Connectivity-Driven EEG Imaging for Deep Learning-Based Motor Imagery Classification.
  pubmed Gomez-Rivera A, Collazos-Huertas DF, Cárdenas-Peña D, Álvarez-Meza AM 等 2025 Dec 29 置信度 0.82
• Task-Dependent Cortical Oscillatory Dynamics in Functional Constipation.
  pubmed Li J, Yang H, Xu M, Wu Y 等 2025 Dec 29 置信度 0.82
• Improved filter bank common spatial pattern algorithm based on the sparrow search algorithm.
  pubmed Cao Y, Ding J, Zhao Z, He Y 等 2025 置信度 0.82
• Fusion oncoproteins orchestrate tumorigenesis and sustain malignant progression via a positive feedback mechanism.
  pubmed Ying W, Wang X, Yu J, Wang J 等 2026 Jan 3 置信度 0.82
• Real-world evaluation of deep learning decoders for motor imagery EEG-based BCIs.
  pubmed Sedi Nzakuna P, D'Auria E, Paciello V, Gallo V 等 2025 置信度 0.82
• MCRBM-CNN: A Hybrid Deep Learning Framework for Robust SSVEP Classification.
  pubmed Gao D, Zhao Y, Zhou J, Zhang H 等 2025 Dec 8 置信度 0.82
• A Multidimensional Benchmark of Public EEG Datasets for Driver State Monitoring in Brain-Computer Interfaces.
  Electroencephalography (EEG)-based brain-computer interfaces (BCIs) hold significant potential for enhancing driver safety through real-time monitoring of cognitive and affective states. However, the development of reliable BCI systems for Advanced Driver Assi…
  pubmed Ammar S, Triki N, Karray M, Ksantini M 等 2025 Dec 6 置信度 0.82 Benchmark (surveying)ElectroencephalographyComputer scienceReliability (semiconductor)Task (project management)
• Design and Validation of a Brain-Controlled Hip Exoskeleton for Assisted Gait Rehabilitation Training.
  pubmed Wang C, Cheng B, Tang Q, Wu R 等 2025 Nov 29 置信度 0.82
• Multi-Domain Dynamic Weighting Network for Motor Imagery Decoding.
  pubmed Wang C, Allison BZ, Wu X, Li J 等 2026 Apr 置信度 0.82
• Dynamic graph representation of EEG signals for speech imagery recognition.
  pubmed Selcuk C, Boulgouris NV 2025 Dec 30 置信度 0.82
• Spatiotemporal dynamics of neuronal subtypes and their interactions with glia following intracortical electrode implantation.
  pubmed Zhao Z, Duan X, Luo J, He Z 等 2025 Dec 29 置信度 0.82
• A hybrid Spiking Neural Network-Transformer architecture for motor imagery and sleep apnea detection.
  pubmed Pham DT, Titkanlou MK, Mouček R 2025 置信度 0.82
• Beyond the lab: real-world benchmarking of wearable EEGs for passive brain-computer interfaces.
  Wearable EEG systems are increasingly used for brain-computer interface (BCI) applications beyond controlled laboratory environments. However, there is still limited evidence on their reliability in real-world cognitive monitoring, especially for deriving robu…
  pubmed Vincenzo R, Marianna C, Rossella C, Gianluca DF 等 2025 Dec 28 置信度 0.82
• [Spectrum of tolerability and safety of the use of brain-computer interfaces with biofeedback in cognitive rehabilitation after a stroke].
  pubmed Kotov SV, Isakova EV, Borisova VA 2025 置信度 0.82
• From Hierarchical Decoding to State Dependent Computation: "Comment on Neural decoding in brain computer interfaces Hierarchical representations, complexity measures, and dynamical perspectives" by Li et al.
  pubmed Zhang H, Che J 2026 Mar 置信度 0.82
• Improved electrode stimulation stability of Utah arrays().
  pubmed Stump T, Baker B, Caldwell R, Sharma R 等 2025 Dec 27 置信度 0.82
• The evolution of cervical spine trauma classification: a paradigm shift from morphological description to clinical decision-making.
  pubmed Huang X, Zhang Y, Xiao H, Chen J 等 2025 置信度 0.82
• An adaptive hand exoskeleton rehabilitation training system integrating virtual reality and an AI-based assessment engine.
  pubmed Cui J 2025 置信度 0.82
• [Brain-controlled unmanned aerial vehicle system based on meta brain computer interface open-source software platform].
  pubmed Li A, Mei J, Chen W, Tao L 等 2025 Dec 25 置信度 0.82
• [A motor imagery decoding study integrating differential attention with a multi-scale adaptive temporal convolutional network].
  pubmed Dong Z, Bao X, Yang Y, Wu J 2025 Dec 25 置信度 0.82