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• From the perspective of material science: a review of flexible electrodes for brain-computer interface
  Abstract As an important branch of man-machine interaction, Brain-Computer Interface (BCI) has the potential to be widely used in various fields, such as health-care, physical efficiency, aerospace, intelligence traffic system, entertainment and so on. The fle…
  openalex Guangwei He, Xufeng Dong, Min Qi 2020-09-14 置信度 0.72 Brain–computer interfaceInterface (matter)Computer scienceElectrodePerspective (graphical)
• Corrigendum “fNIRS-based brain-computer interfaces: a review”
  A corrigendum onfNIRS-based brain-computer interfaces: a reviewby Naseer N and Hong K-S (2015) 9:3. doi: 10.3389/fnhum.2015.00003In the References section of this article, Burges (1998) and Liu et al. (2013) were cited as follows.Burges, C. J. C. (1998). A tut…
  openalex Noman Naseer, Keum‐Shik Hong 2015-03-26 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographySupport vector machineCognition
• Explainable artificial intelligence approaches for brain–computer interfaces: a review and design space
  Abstract Objective. This review paper provides an integrated perspective of Explainable Artificial Intelligence (XAI) techniques applied to Brain–Computer Interfaces (BCIs). BCIs use predictive models to interpret brain signals for various high-stake applicati…
  openalex Param Rajpura, Hubert Cecotti, Yogesh Kumar Meena 2024-07-19 置信度 0.72 Computer scienceSpace (punctuation)Human–computer interactionBrain–computer interfaceArtificial intelligence
• Machine learning techniques for electroencephalogram based brain-computer interface: A systematic literature review
  Brain-computer interface systems with Electroencephalogram (EEG), especially those use motor-imagery (MI) signals, have demonstrated the ability to control electromechanical devices with promising results. EEG being easy to record and non-invasive makes it a g…
  openalex Pawan Pawan, Rohtash Dhiman, Pawan 2023-06-16 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceFeature extractionMotor imagery
• A review of signal processing in brain computer interface system
  Brain computer interface system incorporating signal processing techniques augments human capabilities by providing a new interaction link with the outside world and is particularly relevant as an aid for paralyzed humans, and even for able-bodied people. This…
  openalex N.A. Md Norani, W. Mansor, Lee Yoot Khuan, L.Y. Khuan 2010-11-01 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Signal processingSIGNAL (programming language)
• A review of methods and applications of brain computer interface systems
  Brain-computer interface (BCI) systems provide a device for communication that does not depend on the brain's normal output and peripheral nerves. Recently, BCIs have attracted massive attention, triggered by new scientific progress in understanding brain func…
  openalex Nasim Alamdari, Ali Haider, Riadh Arefin, Ajay Verma 等 2016-05-01 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Human–computer interactionBrain function
• Decoding Dynamic Brain Patterns from Evoked Responses: A Tutorial on Multivariate Pattern Analysis Applied to Time Series Neuroimaging Data
  Multivariate pattern analysis (MVPA) or brain decoding methods have become standard practice in analyzing fMRI data. Although decoding methods have been extensively applied in brain-computer interfaces, these methods have only recently been applied to time ser…
  openalex Tijl Grootswagers, Susan G. Wardle, Thomas A. Carlson 2016-10-25 置信度 0.72 Decoding methodsNeuroimagingComputer scienceArtificial intelligenceCognition
• EEG artifacts detection and removal techniques for brain computer interface applications: a systematic review
  Electroencephalogram (EEG) signals can be acquired using different electrodes such as dry electrodes, sticky electrodes, geltrodes etc. The placement of electrodes classifies the brain computer interface (BCI) into invasive, non-invasive and semi-invasive syst…
  openalex 2022-03-31 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceInterface (matter)Human–computer interaction
• A Review of Asynchronous Electroencephalogram-based Brain Computer Interface Systems
  Various researches on brain computer interfaces have been conducted for physical impaired to control an electronic assistive device using only their brainwaves or scientifically known as electroencephalogram (EEG). The problem of current EEG-based brain comput…
  openalex Aneesa Akmal Nooh, Jasmy Yunus, Salwani Mohd Daud 2011-06-04 置信度 0.72 Brain–computer interfaceAsynchronous communicationElectroencephalographyComputer scienceInterface (matter)
• A Review of Online Classification Performance in Motor Imagery-Based Brain–Computer Interfaces for Stroke Neurorehabilitation
  Motor imagery (MI)-based brain–computer interfaces (BCI) have shown increased potential for the rehabilitation of stroke patients; nonetheless, their implementation in clinical practice has been restricted due to their low accuracy performance. To date, althou…
  openalex Athanasios Vavoulis, Patrícia Figueiredo, Athanasios Vourvopoulos 2023-01-20 置信度 0.72 Brain–computer interfaceNeurorehabilitationMotor imageryNeurofeedbackFunctional electrical stimulation
• Virtual Reality Cognitive Gaming Based on Brain Computer Interfacing: A Narrative Review
  The present article explores the most popular approaches and the best practices for the design and implementation of cognitive gaming interventions that combine Brain Computer Interface (BCI) systems with Virtual Reality (VR). We focus on interventions that ta…
  openalex Marios Hadjiaros, Kleanthis Neokleous, Andria Shimi, Marios N. Avraamides 等 2023-01-01 置信度 0.72 Brain–computer interfaceComputer scienceVirtual realityHuman–computer interactionCognition
• Review of public motor imagery and execution datasets in brain-computer interfaces
  The demand for public datasets has increased as data-driven methodologies have been introduced in the field of brain-computer interfaces (BCIs). Indeed, many BCI datasets are available in various platforms or repositories on the web, and the studies that have …
  openalex Daeun Gwon, Kyungho Won, Minseok Song, Chang S. Nam 等 2023-03-30 置信度 0.72 Motor imageryBrain–computer interfaceComputer scienceLinear discriminant analysisRanging
• Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke - a systematic review and meta-analysis
  BACKGROUND: Training with brain-computer interface (BCI) technology in the rehabilitation of patients after a stroke is rapidly developing. Numerous RCT investigated the effects of BCI training (BCIT) on recovery of motor and brain function in patients after s…
  openalex Antje Kruse, Zorica Suica, Jan Taeymans, Corina Schuster‐Amft 2020-10-22 置信度 0.72 MedicineCochrane LibraryStroke (engine)Meta-analysisNeurology
• Efficacy of Brain–Computer Interface and the Impact of Its Design Characteristics on Poststroke Upper-limb Rehabilitation: A Systematic Review and Meta-analysis of Randomized Controlled Trials
  Background. A number of recent randomized controlled trials reported the efficacy of brain–computer interface (BCI) for upper-limb stroke rehabilitation compared with other therapies. Despite the encouraging results reported, there is a significant variance in…
  openalex Salem Mansour, Kai Keng Ang, Krishnan Padmakumari Sivaraman Nair, Kok Soon Phua 等 2021-04-29 置信度 0.72 RehabilitationPhysical medicine and rehabilitationRandomized controlled trialMeta-analysisUpper limb
• SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules
  To be effective as a drug, a potent molecule must reach its target in the body in sufficient concentration, and stay there in a bioactive form long enough for the expected biologic events to occur. Drug development involves assessment of absorption, distributi…
  openalex Antoine Daina, Olivier Michielin, Vincent Zoete 2017-03-03 置信度 0.72 CheminformaticsADMEDrug discoveryContext (archaeology)Computer science
• Modular Brain Networks
  The development of new technologies for mapping structural and functional brain connectivity has led to the creation of comprehensive network maps of neuronal circuits and systems. The architecture of these brain networks can be examined and analyzed with a la…
  openalex Olaf Sporns, Richard F. Betzel 2015-09-22 置信度 0.72 Modular designComputer scienceCognitive scienceVariety (cybernetics)Network analysis
• Unraveling the potential of brain-computer interface technology in medical diagnostics and rehabilitation: A comprehensive literature review
  openalex Rabie Α. Ramadan, Ahmed B. Altamimi 2024-02-13 置信度 0.72 RehabilitationBrain–computer interfaceInterface (matter)Human–computer interactionPsychology
• EEG-based Brain-Computer Interfaces for people with Disorders of Consciousness: Features and applications. A systematic review
  Background Disorders of Consciousness (DoC) are clinical conditions following a severe acquired brain injury (ABI) characterized by absent or reduced awareness, known as coma, Vegetative State (VS)/Unresponsive Wakefulness Syndrome (VS/UWS), and Minimally Cons…
  openalex Valentina Galiotta, Ilaria Quattrociocchi, Mariagrazia D’Ippolito, Francesca Schettini 等 2022-12-05 置信度 0.72 Brain–computer interfaceMinimally conscious statePersistent vegetative stateElectroencephalographyWakefulness
• Functional Mapping of the Brain for Brain–Computer Interfacing: A Review
  Brain–computer interfacing has been applied in a range of domains including rehabilitation, neuro-prosthetics, and neurofeedback. Neuroimaging techniques provide insight into the structural and functional aspects of the brain. There is a need to identify, map …
  openalex Satya P. Singh, Sachin Mishra, Sukrit Gupta, Parasuraman Padmanabhan 等 2023-01-26 置信度 0.72 InterfacingBrain–computer interfaceComputer scienceNeuroimagingInterface (matter)
• Rehabilitation of gait after stroke: a review towards a top-down approach
  This document provides a review of the techniques and therapies used in gait rehabilitation after stroke. It also examines the possible benefits of including assistive robotic devices and brain-computer interfaces in this field, according to a top-down approac…
  openalex Juan Manuel Belda Lois, Silvia Mena-del Horno, Ignacio Bermejo-Bosch, Juan C. Moreno 等 2011-01-01 置信度 0.72 RehabilitationPhysical medicine and rehabilitationFunctional electrical stimulationGaitBrain–computer interface
• Wearable Brain–Computer Interfaces Based on Steady-State Visually Evoked Potentials and Augmented Reality: A Review
  Brain-Computer Interfaces (BCIs) are an integration of hardware and software communication systems that allow a direct communication path between the human brain and external devices. Among the existing BCI paradigms, Steady-State Visually Evoked Potentials (S…
  openalex Leopoldo Angrisani, Pasquale Arpaïa, Egidio De Benedetto, Luigi Duraccio 等 2023-06-24 置信度 0.72 Brain–computer interfaceComputer scienceHuman–computer interactionAugmented realityWearable computer
• Brain Computer Interface-Based Signal Processing Techniques for Feature Extraction and Classification of Motor Imagery Using EEG: A Literature Review
  openalex D. Jaipriya, K. C. Sriharipriya 2023-05-12 置信度 0.72 Brain–computer interfaceFeature extractionMotor imageryComputer scienceArtificial intelligence
• Optical properties of biological tissues: a review
  A review of reported tissue optical properties summarizes the wavelength-dependent behavior of scattering and absorption. Formulae are presented for generating the optical properties of a generic tissue with variable amounts of absorbing chromophores (blood, w…
  openalex Steven L. Jacques 2013-05-10 置信度 0.72 ChromophoreWavelengthAbsorption (acoustics)ScatteringBiological tissue
• An Electrocorticographic Brain Interface in an Individual with Tetraplegia
  Brain-computer interface (BCI) technology aims to help individuals with disability to control assistive devices and reanimate paralyzed limbs. Our study investigated the feasibility of an electrocorticography (ECoG)-based BCI system in an individual with tetra…
  openalex Wei Wang, Jennifer L. Collinger, Alan D. Degenhart, Elizabeth C. Tyler‐Kabara 等 2013-02-06 置信度 0.72 ElectrocorticographyTetraplegiaBrain–computer interfaceSensorimotor rhythmSensorimotor cortex
• A systematic review of research on augmentative and alternative communication brain-computer interface systems for individuals with disabilities
  Augmentative and alternative communication brain-computer interface (AAC-BCI) systems are intended to offer communication access to people with severe speech and physical impairment (SSPI) without requiring volitional movement. As the field moves toward clinic…
  openalex Betts Peters, Brandon Eddy, Deirdre Galvin-McLaughlin, Gail Betz 等 2022-07-27 置信度 0.72 Augmentative and alternative communicationBrain–computer interfacePsychologyInterface (matter)Computer science
• Building management system based on brain computer interface. Review
  The article provides an overview of Brain Computer Interface (BCI) solutions for intelligent buildings. A significant topic from the smart cities point of view. That solution could be implemented as one of the human-building interfaces. The authors presented a…
  openalex Bartłomiej Kawa, P. Borkowski, M. I. Rodak, Piotr Borkowski 等 2021-11-30 置信度 0.72 Interface (matter)Brain–computer interfaceComputer scienceSystems engineeringEngineering
• Formulation of the Challenges in Brain-Computer Interfaces as Optimization Problems—A Review
  Electroencephalogram (EEG) is one of the common modalities of monitoring the mental activities. Owing to the non-invasive availability of this system, its applicability has seen remarkable developments beyond medical use-cases. One such use case is brain-compu…
  openalex Shireen Fathima, Sheela Kiran Kore 2021-01-21 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyModalitiesOptimization problem
• Meta-Review on Brain-Computer Interface (BCI) in the Metaverse
  This article presents a comprehensive meta-review of the intersection between Brain-Computer Interface (BCI) technologies and the Metaverse, emphasizing the enhancement of immersive experiences through VR, AR, MR, XR, Digital Twin, and haptic interfaces. The s…
  openalex Kamran Gholizadeh HamlAbadi, Fedwa Laamarti, Abdulmotaleb El Saddik 2024-09-14 置信度 0.72 Computer scienceBrain–computer interfaceMetaverseHuman–computer interactionInterface (matter)
• Review for "Real‐time regulation of room temperature based on individual thermal sensation using an online brain–computer interface"
  crossref 2022-09-20T17:03:20Z 置信度 0.70
• Review for "Real‐time regulation of room temperature based on individual thermal sensation using an online brain–computer interface"
  crossref 2022-09-20T17:03:20Z 置信度 0.70
• Brain-Computer Interface review
  Brain-Computer Interface (BCI) is a device that allows direct communication path between central nervous system and external devices without peripheral nerves dependency. Brain-Computer Interface and its applications reached beyond medical applications, it is …
  openalex Szilard Bularka, Aurel Gontean 2016-10-01 置信度 0.72 Computer scienceBrain–computer interfaceInterface (matter)NoveltyHuman–computer interaction
• Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain
  openalex N. Tzourio-Mazoyer, Brigitte Landeau, Dimitri Papathanassiou, Fabrice Crivello 等 2002-01-01 置信度 0.72 VoxelStatistical parametric mappingComputer scienceArtificial intelligenceNeuroimaging
• Successful single-session neural self-regulation through neurofeedback varies between features
  Neurofeedback (NFB) and Brain-Computer Interface (BCI) research seldom present within-session individual learning dynamics. This is even though a large proportion of NFB and BCI users cannot learn the neural self-regulation required to control the feedback. Un…
  preprints 2026 置信度 0.74
• EEG-Based Inner Speech Decoding Using Phase-Locking and Spatial Features with a Dual-Branch Deep Learning Model
  Background: Decoding inner speech from non-invasive electroencephalogram (EEG) signals presents a promising direction for advancing brain-computer interface technologies. However, this remains a highly challenging task because of factors such as the inherently…
  preprints 2026 置信度 0.74
• Back-illumination Phase Imaging Enables Nanoscale Drift Stabilization in Non-transparent Biological Tissues
  High-resolution optical microscopy enables nanoscale investigation of molecular structures but is challenged by sample drift during long acquisitions, particularly in thick biological tissues where trans-illumination is unpractical. Precise stabilization at th…
  preprints 2026 置信度 0.74
• Three-photon holographic microscopy for deep precise optogenetics
  Abstract Precise manipulation of neurons across cortical layers requires optical approaches that maintain single-cell specificity deep within scattering brain tissue. Two-photon optogenetics provides targeted photostimulation in vivo and has expanded experimen…
  preprints 2026 置信度 0.74
• Lungfish comparative genomics reveals ancient gene networks co-opted for life on land
  The transition from water to land was a defining event in vertebrate evolution, requiring major changes in physiology and gene regulation. Lungfish, the closest extant relatives of tetrapods, offer a unique window into this process through their capacity for e…
  preprints 2026 置信度 0.74
• Targeted nerve stimulation restores single-finger movements in a person with tetraplegia
  Abstract The loss of hand function is one of the most devastating impairments for individuals with paralysis. While current neurotechnologies can partially restore prehensile control, they fall short of enabling independent finger movements — an essential requ…
  preprints 2026 置信度 0.74
• Pulse pressure thresholds associated with cognitive impairment across diverse regional and ethnic populations
  Background As dementia prevalence rises globally, it is critical to find preventions that target modifiable risk factors like blood pressure. Pulse pressure (PP), a marker of arterial stiffness, contributes independently to cognitive impairment. Yet, clinicall…
  preprints 2026 置信度 0.74
• Precise kinematic and muscle recording in freely behaving flies enabled by closed-loop tracking and annotation-free pose estimation
  Understanding the neuromuscular basis for behavior requires measuring both kinematic and physiological data at high resolution in unconstrained conditions: a technically challenging goal. Here we present an integrated experimental-computational pipeline for me…
  preprints 2026 置信度 0.74
• Auditory-motor interactions are sensitive to adaptation and learning on multiple timescales
  Auditory-motor learning is critical for mastering the production of complex sounds, such as speaking and playing music. It is anchored upon internal models of interactions between actions and their sensory consequences, which are fine-tuned by minimizing the e…
  preprints 2026 置信度 0.74
• Optimal hearing aid design through restoration of the neural code
  Hearing loss introduces complex distortions in the neural coding of sound that current hearing aids fail to address. Here, we combine electrophysiology and deep learning to identify novel sound processing strategies to correct these distortions. We use large-s…
  preprints 2026 置信度 0.74
• Interpretable metrics for evaluating fidelity, diversity, and privacy in synthetic EEG data
  Abstract The generation of synthetic electroencephalography (EEG) data offers a promising solution to the limited availability of clinical neurophysiological recordings, particularly intracranial EEG (iEEG), where acquisition is invasive, complex, and restrict…
  preprints 2026 置信度 0.74
• Bright calcium-modulated bioluminescent indicators for activity imaging and red photon-assisted synaptic transmission
  Bioluminescent calcium sensors have unique uses in neuroscience and neuroengineering, enabling noninvasive imaging of neuronal activity and contactless activation of opsin-expressing neurons. However, the speed, range, and robustness of non-invasive imaging an…
  preprints 2026 置信度 0.74
• An engineered nanobody inhibitor for molecular-to-circuit control of opioid receptor function
  Opioid receptors (ORs) orchestrate pain relief, reward, and dependence, yet their signaling arises from diverse cell types and subcellular compartments that cannot be selectively interrogated with existing pharmacological or genetic approaches. Single-domain a…
  preprints 2026 置信度 0.74
• IntravChip: a vascularized and perfused microfluidic model of the primary tumor microenvironment to collect intravasated tumor cells
  Hematogenous metastasis is initiated when tumor cells (TCs) intravasate into the vasculature, yet intravasation remains poorly understood because it is difficult to observe in vivo and intravasated TCs are challenging to isolate. To address these challenges, w…
  preprints 2026 置信度 0.74
• An Integrated Molecular Atlas of Alzheimer’s Disease
  Alzheimer’s disease (AD) is a complex neurodegenerative disorder with multifactorial etiology and widespread molecular manifestations. Investigating molecular disease associations in a broader multi-level context across omics modalities remains one central cha…
  preprints 2021 置信度 0.74
• Digital Futures in Mind: Reflecting on Technological Experiments in Mental Health & Crisis Support
  Urgent public attention is needed to make sense of the expanding use of algorithmic and data-driven technologies in the mental health context. On the one hand, well-designed digital technologies that offer high degrees of public involvement can be used to prom…
  preprints 2022 置信度 0.74
• Architecture-data matching for EEG-EMG decoding: compact deep models match classical spectral decoders on the WAY-EEG-GAL grasp-and-lift dataset.
  Modern deep learning has broadened the tools available for non-invasive neural decoding, but its advantage over well-engineered classical pipelines remains unclear at clinical neural-engineering sample sizes. We compared four classical decoders, three multilay…
  pubmed Pinto Neto O 2026 置信度 0.82
• EEGDecoder-x: an explainable deep learning framework for cross-subject EEG-based detection of Alzheimer's and Creutzfeldt-Jakob disease.
  Early detection of neurodegenerative diseases is critical. Distinguishing early-stage Creutzfeldt-Jakob disease (CJD) from "mimics" like Alzheimer's disease (AD) remains a major challenge; while EEG is valuable in advanced CJD, early-stage abnormalities are of…
  pubmed Suffian M, Mammone N, Ieracitano C, Tripodi GG 等 2026 置信度 0.82
• Accurate prediction of gain- and loss-of-function missense variants in GABA(A) receptors.
  Missense variants in genes encoding GABA A receptors are involved in the pathophysiology of common and rare epilepsies. Variant effects on channel biophysical function are associated with key clinical characteristics and treatment response. Predicting variant …
  pubmed Boßelmann CM, Ortiz S, Dahl R, Liao VWY 等 2026 Aug 3 置信度 0.82
• 3D-printed implantable bioelectronics enabled by anti-swelling and biphasic conductive hydrogels.
  Hydrogel bioelectronics are promising candidates to bridge biological and electronic systems. However, maintaining stable communication between hydrogel devices and biological materials in wet physiological environments is challenging owing to the swelling-ind…
  pubmed Yao Y, Luo J, Hui Y, Lyu J 等 2026 Jul 31 置信度 0.82
• HCN1 channels in GABAergic amygdalar neurons underpin male-biased aggressive behaviors.
  Aggressive behaviors typically vary between sexes, but the molecular mechanisms driving these disparities in neural coding remain unclear. We found that aggression selectively activates GABAergic neurons in the posterior substantia innominata (pSI), an extende…
  pubmed Li KY, Zhu Z, Miao L, Wang Q 等 2026 Jul 31 置信度 0.82
• Behavioral and human-computer interaction requirements for a candidate abdominal-sound-enabled dietary self-regulation system: a two-phase study in Taiwanese university students.
  Wearable nutrition tools frequently prioritize calorie surveillance and retrospective logging. However, university students may require low-friction support that aligns with everyday eating contexts. The hypothesis that abdominal sounds could serve as biologic…
  pubmed Fang TJ, Wang CC, Sun JS, Han C 2026 置信度 0.82
• Hippocampal Local Field Potentials Encode Continuous Flight Speed in Homing Pigeons via Complementary Gamma and Theta Signatures.
  Although the role of the mammalian hippocampus in representing locomotor speed has been widely investigated, how the avian hippocampus represents continuous flight speed under free-flight conditions in the outdoor environment remains unclear. In this study, we…
  pubmed Yang L, Guo X, Tao A, Li Z 2026 Aug 18 置信度 0.82
• Categorical Representation of Numerosity in the Pigeon Entopallium: Coding Format and Temporal Dynamics.
  Numerosity perception is an evolutionarily conserved ability observed across diverse taxa, from insects and fish to birds and primates. Unlike traditional visual categories, numerosity possesses an intrinsic metric structure, making it well suited for quantita…
  pubmed Wu P, Peng Y, Zhu J, He Q 等 2026 Aug 11 置信度 0.82
• Developmental Patterns in Cooperative Contexts: How Children Integrate Social Strategy and Resource Endowment in Third-Party Responses.
  This cross-sectional study examined how children integrated social strategy and initial resource endowment when responding to others as third-party observers in a cooperative context. Using an age-appropriate collective dilemma game, 141 Chinese children obser…
  pubmed Pan X, Shi Z, Guo X, Liu X 等 2026 Aug 19 置信度 0.82
• Feasibility of Gamified EEG Neurofeedback Combined with Adaptive Working-Memory Training in Older Adults: A Pilot Study.
  Falls among older adults are linked to central nervous system deterioration and executive function deficits.
  pubmed Tsai PC, Tang KT, Akpan A, Lakany H 2026 Aug 15 置信度 0.82
• A Learnable Entropy-Power Scaling Transform with a Radial Basis Function Network for Electroencephalography-Based Familiar and Unfamiliar Face Classification.
  Familiar and unfamiliar face recognition is an important cognitive process with potential applications in brain-computer interface (BCI) systems and neurocognitive assessment. Classification of familiar and unfamiliar faces based on electroencephalography (EEG…
  pubmed Yan C, Zhao Y, Zhou W, Liu G 2026 Aug 1 置信度 0.82
• MTGNet: A task-oriented and spectrally guided framework for EEG denoising.
  Electroencephalography (EEG) is widely used in brain-computer interfaces (BCIs), but its microvolt-level signals are easily contaminated by electromyography (EMG), electrooculography (EOG), and mixed physiological artifacts. This study develops an EEG denoisin…
  pubmed Hu J, Gao Z, Hao Y, Xie S 等 2026 Aug 26 置信度 0.82
• MSA-CNN: A Multi-Scale Attention Convolutional Neural Network for fNIRS-Based Emotion Recognition.
  Functional near-infrared spectroscopy (fNIRS) has attracted increasing attention in affective brain-computer interface research due to its non-invasive nature, portability, and robustness to motion artifacts. However, substantial inter-subject variability in n…
  pubmed Huang D, Zhang X, Li Y, Wu J 等 2026 Aug 9 置信度 0.82
• GLSTNet: A Global-Local Spatial Relations and Temporal Dynamics Network for EEG-Based Emotion Recognition.
  Electroencephalography (EEG)-based emotion recognition is an important biosensing technique for affective brain-computer interfaces (BCIs), mental-state assessment, and physiological monitoring. Existing methods often rely on a single spectral descriptor or re…
  pubmed Zhang R, Zhong M, Ma C, Xiao Z 等 2026 Aug 5 置信度 0.82
• An ERP dataset for multi-information identity authentication.
  Conventional biometric authentication methods, such as fingerprint recognition, facial recognition, and voiceprint recognition, are vulnerable to spoofing, coercion, and data leakage. Electroencephalography (EEG), owing to its resistance to replication and inv…
  pubmed Li D, Deng S, Li Y, Zhang Z 等 2026 Aug 置信度 0.82
• TASTE: Trait-like and State-like Two-stream Framework for EEG Imputation.
  Electroencephalography (EEG) is a core sensing modality for brain-computer interfaces, yet real-world recordings often contain missing values due to motion artifacts, electrode issues, and device or channel failures. Unhandled missingness can bias analysis and…
  pubmed Liu H, Liu G, Zhang Y, Shi Y 等 2026 Aug 24 置信度 0.82
• Adaptive Class-wise Multicentric Prototype Source-Free Domain Adaptation for Privacy-Preserving BCIs.
  Recently, conventional domain adaptation (DA) methods have demonstrated promising performance in cross-subject classification in electroencephalogram (EEG)-based brain-computer interfaces (BCIs). However, these methods require direct access to labeled source s…
  pubmed Yang Y, Sun C, Lyu R, Wang Z 等 2026 Aug 24 置信度 0.82
• Molecular Basis for Activation to Inhibition Switching in Kv7.2 Channel Modulators.
  Kv7 voltage-gated potassium channels play a critical role in controlling electrical properties of excitable tissues. Neuronally-expressed Kv7 channels are involved in both common and rare neuropsychiatric disorders, ranging from epilepsy to depression and neur…
  pubmed Ciaglia T, Carleo G, Yang Z, Matteo FD 等 2026 Aug 22 置信度 0.82
• Multiple-Classifier Binary Convolutional Siamese Networks for Code-Modulated Visual Evoked Potential Classification.
  Non-invasive Brain-Computer Interfaces (BCIs) based on Code-Modulated Visual Evoked Potentials (c-VEPs) using electroencephalography (EEG) signals require robust classification algorithms. It is unclear whether the best approach is to use a similarity measure …
  pubmed Nair K, Cecotti H 2026 Aug 21 置信度 0.82
• Towards neuromorphic neurotechnologies: integrating brain-inspired computing with brain-computer interfaces.
  Neurological disorders pose a growing global health burden, motivating advances in neural interfacing and artificial intelligence (AI). This review surveys state-of-the-art approaches for neural recording, stimulation and signal decoding and encoding across br…
  pubmed Fares H, Ronchini M, Zamani M, Farkhani H 等 2026 Aug 20 置信度 0.82
• An Auditory BCI System Based on Stimulus-Related Semantic Backgrounds for Consciousness Detection.
  Brain-computer interfaces (BCIs) hold significant promise in medical applications, particularly for detecting consciousness in patients with disorders of consciousness (DoC). However, conventional BCIs often rely on visual stimuli, which limits their accessibi…
  pubmed Wang F, Zhang J, Yang X, Pan J 等 2026 Aug 20 置信度 0.82
• Exploring the potential of natural products in treating alopecia areata.
  Alopecia areata (AA) is an autoimmune disorder characterized by sudden hair loss, affecting millions worldwide. Conventional synthetic drug treatments are often limited by side effects, driving interest in natural alternatives. This review highlights terpenoid…
  pubmed He B, Weng Y, Luo P, Xu Z 等 2026 Aug 置信度 0.82
• DRDNet: A dual-view representation decoupling network for handwriting imagery EEG classification.
  Handwriting imagery (HI) based on electroencephalography (EEG) offers a non-invasive route to text input and complex intention expression for brain-computer interfaces (BCIs). However, HI EEG decoding is challenged by low signal-to-noise ratios, non-stationari…
  pubmed Li Z, Wang F, Lu H, Luo R 等 2026 Aug 19 置信度 0.82
• Backpropagation-Free Test-Time Adaptation for Lightweight EEG-Based Brain-Computer Interfaces.
  Electroencephalogram (EEG)-based brain-computer interfaces (BCIs) face significant deployment challenges due to inter-subject variability, signal non-stationarity, and computational constraints. While test-time adaptation (TTA) mitigates distribution shifts un…
  pubmed Li S, Ouyang J, Cui Z, Wang Z 等 2026 Aug 19 置信度 0.82
• Feedback-regulated dual-role memory consolidation for continual learning: a stability-plasticity framework inspired by hippocampo-cortical systems consolidation.
  Artificial agents trained on non-stationary task streams often acquire new categories at the cost of older representations. Systems-level accounts of hippocampo-cortical consolidation suggest that stored traces can support later learning in different ways and …
  pubmed Yu Z, Cao S, Zhang G, Feng P 2026 Dec 置信度 0.82
• Music Is Quasi-Rhythmic Too: Comparing Bandwidth in Speech and Music Acoustic Modulation Spectra.
  Speech and music both unfold over time. However, these dynamics are perceived quite differently: music as rhythmic, and speech as quasi-rhythmic. Here, we aim to identify whether this distinction between rhythm and quasi-rhythm is sourced from the raw acoustic…
  pubmed Wang J, Zhang Y, Van Cang MP, Ding N 等 2026 Aug 置信度 0.82
• Calibration-free Plug-and-Play EEG-based BCIs.
  Calibration-free plug-and-play operation is critical for real-world EEG-based brain-computer interfaces (BCIs), yet existing methods demand subject-specific calibration or batch processing of target data. To overcome this, we propose Local Online Transfer Lear…
  pubmed Wu H, Zhang G, Liao J, Zhang J 等 2026 Aug 18 置信度 0.82
• The lingering effects of perceived daily negative workplace gossip on next-day work alienation in China: a dual-pathway perspective of rumination and emotion.
  Existing research has predominantly confined its scope to the immediate, detrimental consequences of daily negative workplace gossip, largely overlooking its lingering effects. To address this critical limitation, we present a dual-pathway model grounded in th…
  pubmed Lou W, He T, Li G 2026 置信度 0.82
• Towards Wearable High-Density MEG: A Compact, Low-Power, and Scalable OPM-MEG System with Automated Control.
  Optically pumped magnetometer-based magnetoencephalography (OPM-MEG) is advancing toward wearable and high-density sensor configurations, posing significant engineering challenges in miniaturization, thermal management, and scalable integration. Here, we prese…
  pubmed He K, Yang R, Li C, Cai Y 等 2026 Aug 17 置信度 0.82
• Gender differences in technological and health status perception and its impact on daily life activities in persons affected by stroke.
  To explore gender-segmented perceptions of improvement through technological devices among stroke survivors, focusing on how these devices influence self-perceived health status and daily life activities.
  pubmed Zorrilla-Muñoz V, Lillo-Navarro C, Blanco-Ivorra A, Catalan JM 等 2026 Aug 17 置信度 0.82
• Localized Tuning Fields for 3D Hand Position in the Primary Motor Cortex and Premotor Cortex of Macaques.
  A central question in motor neuroscience is how the brain represents the state of the limbs to guide volitional movements. While the primate motor cortex is known to encode movement kinematics, such as velocity and direction, whether it also maintains a direct…
  pubmed Cao 曹盛浩 S, Tian 田凯茜 K, Yu 余山 S 2026 Aug 14 置信度 0.82
• A Multi-Scale Adaptive EEG Feature Selection and Weighting Method for Mental Workload Estimation in Rapid Serial Visual Presentation.
  Accurate mental workload estimation is crucial for enhancing performance and reliability in Rapid Serial Visual Presentation- based Brain-Computer Interfaces (RSVP-BCIs). However, existing (Electroencephalography)EEG-based methods suffer from high-dimensional …
  pubmed Wang Y, Wei W, Wang K, Zhao K 等 2026 Aug 14 置信度 0.82
• IL-1β pathway-dependent regulation of glutamate receptor activity by gut microbiota in bipolar depression.
  Neuroinflammation may disrupt neurotransmitter signaling. This study investigated whether gut microbiota-induced neuroinflammation can regulate glutamate pathways in bipolar disorder (BD).
  pubmed Tang A, Chen Y, Ding K, Zhang J 等 2026 Jul 1 置信度 0.82
• Flexible radio-frequency carbon nanotube transistors operating in the sub-THz regime.
  pubmed Qian S, Lin F, Zhou Q, Liu S 等 2026 Aug 2 置信度 0.82
• Gestational Hypoxia Disrupts Medial Ganglionic Eminence Progenitor Dynamics and Interneuron Development in Schizophrenia.
  Schizophrenia (SCZ) is a neurodevelopmental disorder characterized by heterogeneous symptoms and multifactorial etiologies. Medial ganglionic eminence (MGE) spheroids generated from first-episode schizophrenia (FES) patients revealed accelerated neurodevelopme…
  pubmed Ni P, Zhang Q, Jiang Y, Yao H 等 2026 Aug 12 置信度 0.82
• Preparatory encoding of intended movement in the human motor cortex and implications for brain-computer interfaces.
  Over the course of a voluntary movement, motor cortical activity exhibits a transition from preparation to execution, with markedly different activity across these phases. Preparatory activity in particular might be used to improve brain-computer interfaces (B…
  pubmed Rigotti-Thompson M, Nason-Tomaszewski SR, Bechefsky PH, Acosta A 等 2026 Aug 11 置信度 0.82
• Clinical subtypes and sleep-wake evolution pattern in epilepsy manifesting as sleep-related seizures.
  Epilepsy manifesting as sleep-related seizures (EpSRS) represents a common but heterogeneous group. This study aimed to identify distinct clinical subtypes of EpSRS and explore alterations in sleep-wake seizure rhythms over the disease course.
  pubmed Zhou J, Xu S, Ye L, Wang Z 等 2026 Aug 11 置信度 0.82
• Decoding Chinese speech across multiple neural conditions via EEG: dataset construction and interpretability driven spatial optimization.
  The integration of artificial intelligence (AI) and brain-computer interfaces (BCIs) technologies shows great potential in assisting patients with speech impairments and improving cognitive-linguistic decline. Electroencephalogram (EEG) based BCIs, characteriz…
  pubmed Wang H, Zhang G, Xie X, Qin Y 等 2026 置信度 0.82
• LECT2-RPS27A interaction involving Lys48 attenuates neuroinflammation in diabetic retinopathy.
  Leukocyte cell-derived chemotaxin 2 (LECT2), a newly discovered hepatokine involved in immunomodulation and inflammatory processes, has recently been implicated in diabetic retinopathy pathogenesis. However, the specific role and mechanism of LECT2 in diabetic…
  pubmed Liu Z, Yin H, Zhu K, Shao L 等 2026 Aug 10 置信度 0.82
• Game Theory-Based Adaptive Human-Machine Joint Learning for Online MI-BCI Decoding.
  Motor imagery based brain-computer interface (MI-BCI) has been extensively researched for neurorehabilitation and motor assistance, while the performance of previous MI-BCI systems for online decoding motor intentions is still not satisfactory. Therefore, a ga…
  pubmed Jing Y, Wang J, Que X, Li C 等 2026 Aug 10 置信度 0.82
• The process of object individuation shared across visual and tactile modalities.
  Distinguishing objects from the background, a process known as Object Individuation (OI), is fundamental for us to interact with the environment and relies critically on location information across sensory modalities. Nonetheless, it remains unclear and contes…
  pubmed Lou C, Chen L 2026 Aug 4 置信度 0.82
• Multi-omics profiling of oral microbial functional signatures and systemic immune-metabolic features in perinatal depression.
  Perinatal depression (PND) occurs during a period marked by profound endocrine, metabolic, and immune adaptation. Although alterations in immune-metabolic regulation have been reported in PND, how such changes manifest across distinct biological compartments r…
  pubmed Xue K, Hu C, Lin Z, Mao X 等 2026 Oct 置信度 0.82
• Slide-DML: sliding-window-based estimation of heterogeneous treatment effects.
  Objective. Heterogeneous treatment effect (HTE) estimation is essential for understanding individual differences in physiological responses and supporting personalized healthcare. However, existing non-parametric HTE estimation methods often rely on complex pa…
  pubmed Fu Z, Gong Z, Shen Z, Yao S 等 2026 Aug 20 置信度 0.82
• Deep learning-based control of electrically evoked activity in human visual cortex.
  Visual cortical prostheses offer a promising path to sight restoration, but current systems elicit crude, variable percepts and rely on manual electrode-by-electrode calibration that does not scale. These limitations reflect a deeper challenge: electrical micr…
  pubmed Moure P, Granley J, Grani F, Soo L 等 2026 Aug 7 置信度 0.82
• Enabling Functional Independence: A Scoping Review of Upper Extremity Assistive Devices for Adults With Progressive Neuromuscular Diseases.
  Assistive technology offers an important means of compensating for lost upper extremity function in adults with progressive neuromuscular diseases (NMD), enabling participation in daily activities, supporting independence, and promoting quality of life. Howeve…
  pubmed Burke KM, Johnson S, Chomko K, Escalante A 等 2026 置信度 0.82
• The effect of MI-BCI combined with tDCS in early rehabilitation after anterior cruciate ligament reconstruction monitored by resting-state fMRI: the first case report.
  To recover lower-limb motor function is a primary goal for rehabilitation after anterior cruciate ligament (ACL) reconstruction. Although quantitative testing and questionnaire evaluation provide a lot of valuable information, functional magnetic resonance ima…
  pubmed Zuo C, Yin Y, Zhang C, Ma X 等 2026 Jul 27 置信度 0.82
• Optimal Size of Electrocorticography Grids for Classification of Hand Movements.
  Implanted Brain-Computer Interfaces (BCIs) hold significant promise as a replacement for conventional assistive technologies for people with extensive motor impairments. In recent years, significant progress has been made in enhancing BCI performance, bringing…
  pubmed Offenberg EC, Keller D, Mehrkanoon S, Berezutskaya J 等 2026 Aug 7 置信度 0.82
• Medial wall contributions to finger motor decoding from electrocorticography.
  Objective. Future motor brain-computer interfaces (BCIs) are expected to benefit from integrating neural signals from multiple motor-related brain regions. While decoding studies have largely focused on lateral sensorimotor cortex, the medial wall of the cereb…
  pubmed Merino EC, Sun Q, Dauwe I, Carrette E 等 2026 Aug 18 置信度 0.82
• ReCIL: Rehearsal-Based Class Incremental Learning for Cross-Subject Motor Imagery Classification.
  Electroencephalography (EEG) based motor imagery (MI) is a classic brain-computer interface (BCI) paradigm, which can be used in neuro-rehabilitation and device control. Existing MI classification approaches only consider the scenario that the number of MI cla…
  pubmed Yang X, An J, Liu D, Xu X 等 2026 Aug 6 置信度 0.82
• Analysing open-source protein folding models for nanobody binding prediction.
  Antibody-based therapeutics are a rapidly expanding class of treatments, with over 200 approved candidates and thousands in clinical trials. Computational pre-filtering using protein structure prediction models has the potential to reduce the cost of wet-lab s…
  pubmed Vogt Y, Roßberg R, Habermann J, Kluge P 等 2026 置信度 0.82
• An fNIRS Dataset for Cognitive Decoding during a Multi-day Block-design Stroop Task.
  Cognitive state decoding is key to brain-computer interface technology, serves as a promising tool for psychiatric diagnosis and rehabilitation, and offers a novel perspective for neuroscientific study. Datasets for decoding cognitive states using optical neur…
  pubmed Zeng L, Sun K, Yuan Y, Gao Y 等 2026 Aug 5 置信度 0.82
• Transcranial Focused Ultrasound Enhances the Discriminative Power of Targeted Voluntary Motor Signals in Humans.
  Transcranial focused ultrasound (tFUS) is an emerging neuromodulation technique with high spatial specificity and deep brain penetration, but its effects on upper-limb voluntary motor signals relevant to brain-computer interfaces (BCIs) remain unknown. In this…
  pubmed Kosnoff J, Zhang J, Zhang Y, Ding Y 等 2026 置信度 0.82