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• Shared latent representations of speech production for cross-patient speech decoding.
  Speech brain-computer interfaces (BCIs) can restore communication in individuals with neuromotor disorders who are unable to speak. However, current speech BCIs limit patient usability and successful deployment by requiring large volumes of patient-specific da…
  pubmed Spalding Z, Duraivel S, Rahimpour S, Wang C 等 2026 Jul 16 置信度 0.82
• Single-subject auditory ERP-BCI performance enhancement in ALS via an AI coding assistant prompt.
  Auditory event-related potential (ERP) brain-computer interfaces (BCIs) offer communication support for individuals with amyotrophic lateral sclerosis (ALS) who eventually progress to completely locked-in states. However, individual-specific BCI pipeline optim…
  pubmed Ogino M 2026 置信度 0.82
• DST-GNN: A dynamic spatio-temporal graph neural network for motor imagery classification.
  Electroencephalography (EEG)-based motor imagery classification plays an important role in brain-computer interface (BCI) systems. However, existing methods often struggle to effectively capture the complex spatial and temporal dependencies among EEG channels …
  pubmed Zeng B, Liu B 2026 Jul 15 置信度 0.82
• Neuroscience-Inspired Hierarchical GNN for Grasping Attempt Classification.
  Brain-Computer Interfaces (BCI) have shown promise in facilitating upper limb rehabilitation following stroke. However, restoring fine hand functions, such as grasping, remains a significant challenge. To address this, we focus on decoding hand grasp attempts …
  pubmed Lin X, Wang Y, Ding Y, Zhang S 等 2026 Jul 15 置信度 0.82
• Supervised Contrastive Learning Enables High Performance P300 Spelling with Minimal Calibration.
  The P300 speller is a widely adopted brain computer interface (BCI) paradigm that enables hands free character selection based on event-related potentials elicited through an oddball stimulus paradigm. Despite its utility, the system's performance is often con…
  pubmed Yu T, Xin J, Gao W, Yu Z 等 2026 Jul 15 置信度 0.82
• Frequency modulation detection in Mandarin Chinese-speaking amusics across modulation rate, carrier frequency, and stimulus duration.
  Frequency modulation (FM) detection was examined in Mandarin Chinese-speaking listeners with congenital amusia, including pure amusics and tone agnosics (without and with lexical tone deficits, respectively). Thresholds were measured across modulation rates, c…
  pubmed Li M, Nan Y, Tang W, Wang W 等 2026 Jul 1 置信度 0.82
• Alpha rhythms in the left auditory cortex set the speed limit for speech comprehension.
  Human cognition operates within distinct temporal windows spanning from very short to extremely long. Each cognitive function has its own processing speed range, beyond which performance deteriorates or even becomes impossible. Speech comprehension, as one of …
  pubmed Gao Y, Fan J, Xu N, Zhao L 等 2026 Jul 21 置信度 0.82
• Optimization of stimulus color for peripheral SSVEP-based brain-computer interfaces.
  Most existing steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) struggle to balance user experience with system performance. Although recent studies have shown that peripheral vision stimulation can evoke SSVEPs with high user…
  pubmed Liu H, Li Z, Li W, Yang R 等 2026 置信度 0.82
• A modular semantic-structural pipeline for visual decoding from primate spiking data via selective temporal integration.
  Characterizing the information content of intracortical signals during visual processing is a central challenge in systems neuroscience. We address the problem of decoding visual information from high-density intracortical recordings in primates, using the THI…
  pubmed Ciferri M, Ferrante M, Toschi N 2026 置信度 0.82
• Magnetically compatible and fiberless fNIRS enables simultaneous multimodal imaging with optically pumped magnetometer MEG.
  Simultaneous acquisition of functional near-infrared spectroscopy (fNIRS) and magnetoencephalography (MEG) provides complementary hemodynamic and electrophysiological information for studies of neurovascular coupling and has previously been demonstrated using …
  pubmed Yang R, Ru X, Song J, Zhao Y 等 2026 Sep 置信度 0.82
• Variable-impedance muscle coordination under slow-rate control frequencies and limited observation conditions evaluated through legged locomotion.
  Human motor control remains agile and robust despite limited sensory information for feedback, a property attributed to the body's ability to perform morphological computation through muscle coordination (MC) with variable impedance. However, it remains unclea…
  pubmed Asai H, Noda T, Morimoto J 2026 Aug 19 置信度 0.82
• Subject-independent EEG classification of imagined swallowing: Impact of saliva vs. water paradigms.
  Dysphagia poses a significant burden on global health, necessitating innovative neurorehabilitation tools. Brain-Computer Interfaces (BCIs) based on motor imagery offer a promising avenue, yet the neural differentiation between distinct swallowing paradigms re…
  pubmed Gökçe Aslan S, Yılmaz B 2026 置信度 0.82
• RAP(2)G: Relation-Aware Progressive Pseudo-label Generation for Cross-subject MI-EEG Recognition.
  Motor imagery electroencephalography (MI-EEG) classification is essential for brain-computer interfaces (BCIs), but achieving high accuracy across different individuals remains challenging due to significant inter-subject variability. Recently, unsupervised do…
  pubmed Li X, Song X, Ma Q, Li P 等 2026 Jul 14 置信度 0.82
• Alterations in Skin Microbiota in Patients with Spinocerebellar Ataxia Type 3: A Pilot Study.
  Spinocerebellar ataxia type 3 (SCA3) exhibits marked variability in age of onset and disease progression that cannot be fully explained by CAG repeat length, indicating the presence of additional modifiers. The skin, as a neuro-immune interface, has been linke…
  pubmed Peng J, Sun L, Chen Z, Wan L 等 2026 Jul 7 置信度 0.82
• HADANet: hybrid attentive domain adaptation for cross-subject motor imagery EEG decoding.
  Motor imagery (MI) based brain-computer interfaces (BCIs) enable direct decoding of human motor intentions from neural activity. Electroencephalography (EEG) is widely used for MI decoding due to its non-invasive nature and high temporal resolution. However, l…
  pubmed Wu D, Tang M, Liu S 2026 Dec 置信度 0.82
• Alterations in the coupling between glymphatic function and cortical morphology in children with short stature.
  To investigate the functional changes in the glymphatic system and cortical morphological features in children with growth hormone deficiency (GHD) and idiopathic short stature (ISS).
  pubmed Gao A, Li W, Cui Y, Li K 等 2026 Oct 15 置信度 0.82
• A high-resolution functional network-organized atlas of human superficial white matter from ultra-high-field diffusion MRI.
  Superficial white matter (SWM) supports local cortico-cortical communication. Still, its whole-brain organization remains difficult to characterize in vivo , due to its short length, high curvature, proximity to the gray-white matter interface, and individual …
  pubmed He Y, Xie Y, Yip H, Hong Y 等 2026 Jul 17 置信度 0.82
• Event-related potential dynamics of unilateral lower limb movement with functional connectivity analysis.
  Locomotor lateralization represents a general evolutionary trait in primates and is particularly well documented in human upper limb movements. Whether a corresponding lateralization pattern exists in lower limb movements, however, has remained largely unexplo…
  pubmed Gu L, Han H, Wang H, Xiong X 2026 Nov 置信度 0.82
• Post-trial obligations and participant enrollment in brain pioneering research: should we expand inclusion criteria?
  Brain pioneering research investigates the clinical utility of implantable neural devices that acquire, process, and translate brain signals to enable individuals to produce actions or effects. There is a scholarly consensus that researchers, funders, and orga…
  pubmed Bobier C, Hurst DJ 2026 Jul 11 置信度 0.82
• DyAMNet: dynamic adversarial and contrastive network for EEG biometrics.
  Electroencephalogram (EEG)-based biometric recognition for brain-computer interfaces faces challenges from domain shifts, temporal nonstationarity, and limited scalability.
  pubmed Li T, Li M, Sun R, Feng J 2026 置信度 0.82
• UMind: A unified multitask network for zero-shot M/EEG visual decoding.
  Decoding visual information from time-resolved brain recordings, such as EEG and MEG, plays a pivotal role in real-time brain-computer interfaces. However, existing approaches primarily focus on direct brain-image feature alignment and are limited to single-ta…
  pubmed Xu C, Song Y, Liao Z, Zhang H 等 2026 Jun 29 置信度 0.82
• Optimal control for anti-abeta treatment in Alzheimer's disease using a reaction-diffusion model.
  Alzheimer's disease (AD) is a progressive neurodegenerative disorder that severely impairs survival and quality of life. While anti-amyloid beta (Aβ) therapies can slow disease progression, their efficacy depends on personalized dosing that maximizes ben…
  pubmed Lee S, Kao CY, Li Z, Dan T 等 2026 Jul 8 置信度 0.82
• Deep Learning Reveals Cross-Modal Neural Representations of Auditory and Visual Mental Imagery in MEG.
  Mental imagery provides a unique window into the brain's ability to internally simulate sensory experiences, offering valuable insights for both cognitive neuroscience and brain-computer interface (BCI) research. This study examined the neural representations …
  pubmed Schüller A, Jehn C, Stegmaier M, Riegel J 等 2026 Jul 7 置信度 0.82
• Nongenetic in Vivo Bimodal Neuromodulation via Photothermal Gold Nanorods and a Multifunctional Fiber Neural Probe.
  Neuromodulation is central to both fundamental neuroscience and the development of next-generation brain-computer interfaces (BCIs). However, most cell-type-specific neuromodulation strategies rely on genetic approaches such as optogenetics, which, despite the…
  pubmed Yoon C, Lee Y, Yim G, Lee SW 等 2026 Jul 21 置信度 0.82
• Overview of the limb injury measurement battery for quality of life (LIMB-QOL).
  The Limb Injury Measurement Battery for Quality of Life (LIMB-QOL) was developed to comprehensively assess patient reported outcomes (PRO) for research and clinical use with individuals who have sustained major extremity trauma and limb loss.
  pubmed Tulsky DS, Tyner CE, Boulton AJ, Kisala PA 等 2026 Jul 4 置信度 0.82
• Brief digital narrative intervention for adolescent depression, anxiety, and insomnia during academic stress: a cluster randomized controlled trial.
  High-stakes examinations represent a significant but underrecognized threat to adolescent mental health, contributing to elevated symptoms of depression, anxiety, and insomnia. Despite the global scale of this problem, effective interventions during these crit…
  pubmed Luo Y, Fan J, Zang Y 2026 Jul 3 置信度 0.82
• Overcoming brain non-stationarity: adaptive RLS classification for stable BCIs based on auditory evoked potentials.
  Objective. Brain-computer interfaces (BCIs) based on selective auditory attention aim to restore communication by decoding selective attention from auditory evoked potentials. Clinical translation of such BCIs requires maintaining sufficient decoding performan…
  pubmed Kurmanavičiūtė D, Makkonen M, Zubarev I, Kahilakoski OP 等 2026 Jul 15 置信度 0.82
• Neural activity profiles reveal overlapping, intermingled subpopulations spanning area borders in mouse sensorimotor cortex.
  Cortical control of movement is a distributed computation spanning multiple densely interconnected regions. Although we have rich anatomical atlases and a coarse understanding of how function maps to areas and subregions, we lack a detailed account of how beha…
  pubmed Salimian S, Grier H, Kaufman MT 2026 Jul 3 置信度 0.82
• Long-term Learning Induces Plastic Changes in Frontostriatal Circuits.
  Neural activity in frontal-striatal circuits underlies reinforcement learning. Traditional theories suggest that reinforcement signals, which drive learning, strengthen connections within the basal ganglia. This strengthening is believed to shift information p…
  pubmed Xuan D, Burk DC, Bartolo R, Li X 等 2026 Jun 28 置信度 0.82
• Interaction between dynamic reinforcement learning and working memory of pigeon: a comparative modeling study.
  In animal decision-making research, reinforcement learning (RL) and working memory (WM) are regarded as two fundamental cognitive mechanisms, corresponding respectively to the accumulation of reward-based experience and the rapid utilization of recent informat…
  pubmed Shang Z, Wang Y, Li M, Jin F 等 2026 Aug 1 置信度 0.82
• Spatial frequency channels implement a mental ruler in spatial vision.
  Perception of basic spatial properties (e.g., size, separation) varies with visual context, indicating a rescaling process in spatial vision. Previous findings have suggested that this rescaling is supported by an adjustable "mental ruler", an internal metric …
  pubmed Zhang S, Mo L, Fang F, Mo C 2026 Sep 置信度 0.82
• Dynamic functional graph-Laplacian priors integrated with optimization for EEG source localization.
  Objective . Electroencephalography (EEG) source localization is an ill-posed inverse problem in which conventional methods often rely on static anatomical or smoothness assumptions and may neglect task-related dynamic functional interactions. This study aims t…
  pubmed Fei SW, Chen Y, Chen JL 2026 Jul 20 置信度 0.82
• Unveiling subject-specific causal latency in motor imagery: a physiologically transparent BCI via Riemannian tangent space fusion.
  Objective. While deep learning (DL) has improved motor imagery (MI) brain-computer interfaces (BCIs), its 'black-box' nature lacks physiological interpretability. Building upon our previous findings that cortical state transitions are governed by non-linear ne…
  pubmed Sato Y 2026 Jul 14 置信度 0.82
• Cross-subject decoding of human neural data for speech brain computer interfaces.
  Objective. Brain-to-text systems have recently achieved impressive performance when trained on single-participant data, but remain limited by uninvestigated cross-subject generalization. Approach. We present the first neural-to-phoneme decoder trained jointly …
  pubmed Boccato T, Olak M, Ferrante M 2026 Jul 14 置信度 0.82
• Olfactory Perception and Neural Rhythms: A Simulation-Based EEG Analysis Using Power Spectral Density FeaturesOlfactory perception and neural rhythms: a simulation-based eeg analysis using power spectral density features.
  The human ability to smell functions as a critical cognitive function because it enables people to detect their surroundings while experiencing feelings and recalling memories and making choices. Researchers face difficulties when they use electroencephalograp…
  pubmed S V A 2026 Dec 置信度 0.82
• Cross-ancestry pleiotropic analysis of imaging-derived phenotypes enhances risk stratification of depression.
  Depression arises from dynamic interactions among genetic predisposition, brain alterations, and environmental stressors. Despite genome-wide association studies (GWAS) identifying risk loci, the mechanisms translating genetic variation into brain changes rema…
  pubmed Feng Y, Guo X, Huang P, Jia N 等 2026 Jul 1 置信度 0.82
• HEDN: A Hard-Easy Dual Network with Source Reliability Assessment for Cross-Subject EEG Emotion Recognition.
  Cross-subject electroencephalography (EEG) emotion recognition is essential for real-time monitoring of cognitive and affective states in brain-computer interface (BCI) and wearable health applications, but substantial inter-subject variability poses a major c…
  pubmed Wang Q, Yang L, Song J, Bai Y 等 2026 Jul 1 置信度 0.82
• Neural mechanisms of mixed speech and grasp representation in sensorimotor cortices.
  Objective . Recent brain-machine interface (BMI) studies have challenged traditional views of functional specialization in human motor cortices, suggesting that regions associated with hand movement also support speech. However, the extent of this dual functio…
  pubmed Foli C, Conlan EC, Memberg WD, Bhat P 等 2026 Jul 27 置信度 0.82
• Noninvasive decoding of typed sentences from human brain activity.
  Modern neuroprostheses can now restore communication in patients who have lost the ability to speak or move. However, implanting these invasive devices comes with risks inherent to neurosurgery. Here we introduce a noninvasive method to decode the production o…
  pubmed Lévy J, Zhang M, Pinet S, Rapin J 等 2026 Jun 29 置信度 0.82
• VEOS: vision-based vertical electrooculography inference from monocular periocular video for ocular artefact suppression in EEG.
  Objective. Ocular artefacts from blinks and eye movements remain a persistent obstacle to reliable electroencephalography (EEG), particularly when dedicated electrooculography (EOG) electrodes are unavailable or undesirable. We investigate whether monocular pe…
  pubmed Redmond P, Fleury A, Ward T 2026 Jul 13 置信度 0.82
• Research participants as 'pioneers'? Exploring how neurotechnology research is adapting the rhetoric of scientific risk-taking, exploration and trailblazing.
  The theme of pioneers charting new frontiers has long been a staple of scientific and technological discourse in the United States. Scientists, engineers and entrepreneurs perceived as doing groundbreaking work are lauded as pioneers in their fields. In recent…
  pubmed Brown AI, Goering S, Klein E 2026 May 27 置信度 0.82
• MSCANet: a cross-attention-based multi-scale convolutional fusion neural network for EEG motor imagery classification.
  Brain-computer interfaces (BCIs) utilize physiological neural signals from the brain to control external devices, offering significant potential to restore normal life in patients with brain injuries or motor impairments. However, electroencephalogram (EEG) si…
  pubmed Qin G, Huang J, Mi P, Liu Z 等 2026 Dec 置信度 0.82
• Adaptive Neural Reorganization Enables Real-Time Finger-Level Robotic Control in BCI-Naïve Stroke Survivors.
  Restoring hand function remains a major challenge for individuals with motor impairments following stroke. Noninvasive brain-computer interfaces (BCIs) aim to address this problem by translating neural signals into robotic assistance; however, control of indiv…
  pubmed Ding Y, Karrenbach M, Johnson Z, Wang H 等 2026 Jun 18 置信度 0.82
• Structural basis for the ion selectivity of potassium-chloride cotransporter KCC4 revealed by cryo-EM titration.
  Potassium-chloride cotransporters KCCs mediate the coupled, electroneutral cotransport of K + and Cl - across the membrane and are involved in important physiological processes such as cell volume regulation and γ-aminobutyric acid (GABA) and glycine-med…
  pubmed Xie Y, Han B, Tao X, Song F 等 2026 Jun 30 置信度 0.82
• [Research on auditory neurofeedback technology and its multi-disciplinary applications].
  Auditory neurofeedback (ANF) utilizes sound to map brain activity in real-time, guiding individuals to self-regulate neural states via operant conditioning. Compared to visual neurofeedback, ANF offers distinct advantages in millisecond-level response speed an…
  pubmed Hu X, Gong A, Shi X, Gong B 等 2026 Jun 25 置信度 0.82
• [Application and perspective of novel auditory intervention paradigms based on verbal and nonverbal stimuli for severe traumatic brain injury].
  Patients with severe traumatic brain injury (TBI) often experience disorders of consciousness (DoC) and motor impairments, which pose challenges to the implementation of conventional intervention approaches. As one of the relatively preserved sensory pathways …
  pubmed Li X, Yuan Y, Chen P, Liu Z 等 2026 Jun 25 置信度 0.82
• Cross-Subject Event-Related Potential Classification via Multi-View Based Contrastive Learning.
  Event-related potentials (ERPs) provide implicit feedback and error-correction signals that are valuable for brain-computer interfaces (BCIs). However, models trained on source-domain subject data are vulnerable to inter-subject variability and acquisition noi…
  pubmed Chen C, Xia L, Zhuang J, Qian Q 等 2026 Aug-Sep 置信度 0.82
• An Upper-Limb Motor Imagery EEG Dataset of Chronic Stroke Patients.
  Motor imagery (MI)-based brain-computer interface (BCI) systems offer a promising approach for post-stroke motor rehabilitation. However, their clinical translation is limited by the scarcity of large, clinically relevant electroencephalography (EEG) datasets.…
  pubmed Lu R, Luo J, Zhong SH, Gao T 2026 Jun 26 置信度 0.82
• Nanostructured coatings on soft-polymer based neural probes for addressing neuroinflammation.
  Intracortical microelectrodes (IMEs) record neural activity with single- and multi-unit resolution and interface with brain-machine interfaces (BMIs) to control assistive devices. Long-term performance, however, remains limited by neuroinflammatory responses t…
  pubmed Ocoko MYM, Kasthuri N, Lugo I, Hanzlicek B 等 2026 Aug 置信度 0.82
• Editorial: Deep learning in brain-computer interfaces.
  pubmed Solé-Casals J, Ahn S, He B 2026 置信度 0.82
• Multimodal EEG-EMG and FEM-Based Adaptive Control of Passive Upper-Limb Exoskeletons.
  Integrating neural and muscular signals into wearable robotics enables adaptive assistance during real-world tasks. This study proposes a multimodal neural interface for passive exoskeletons that combines electroencephalography (EEG) and electromyography (EMG)…
  pubmed Bibbò L, Laganà F, Pullano SA, Angiulli G 2026 Jun 20 置信度 0.82
• Rethinking Brain-Computer Interfaces for Soft Robotic Systems: A Unified Framework and Perspective.
  Soft robotics enables inherently safe, compliant interaction, yet integrating brain-computer interfaces (BCIs) remains hindered by a fundamental mismatch: BCIs typically output low-bandwidth, discrete commands, whereas soft robots possess high-dimensional, non…
  pubmed Liu Y, Hu Q, Wang X, Herath D 等 2026 Jun 11 置信度 0.82
• Personalized Adaptive Gabor Filtering with Three-Stage Semi-Supervised Domain-Adversarial Learning for Cross-Subject SSVEP Decoding.
  Improving the decoding accuracy and information transfer rate (ITR) of steady-state visual evoked potential brain-computer interface (SSVEP-BCI) systems, while enhancing cross-subject generalization and reducing calibration cost, is essential for practical dep…
  pubmed Guo J, Pan X, Mi N, Zhang J 等 2026 Jun 10 置信度 0.82
• Miniaturized Wearable System for Multimodal EEG/ECG/EMG Sensing and Real-Time Physiological Monitoring.
  Real-time physiological state awareness is central to next-generation wearable computing, yet most existing electrophysiological signal acquisition platforms remain limited to single-modality sensing, high component cost, or bulky form factors that hinder ever…
  pubmed Zhang Y, Meng X, Lu C, He Y 等 2026 Jun 6 置信度 0.82
• Enhancing EEG-Based Brain Pattern Recognition Through Functional-Network-Level Volume Conduction Mitigation: Spatially Informed Decay Modeling-Residual Correction.
  Background/Objectives: Advancements in neuroscience and machine learning have increasingly enabled brain pattern recognition based on bio-signal measurements, such as electroencephalography (EEG). These developments support next-generation technologies, includ…
  pubmed Xu Y, Otsuka S, Nakagawa S 2026 Jun 18 置信度 0.82
• Self-Rectifying Integrate-and-Fire Neuron and Collaborative Trim Training Framework for SNN-Based EEG Motor Imagery Classification.
  Spiking neural networks (SNNs) have attracted significant attention in the field of brain-computer interfaces owing to their distinctive biological plausibility and energy efficiency advantages. However, the discrete nature of spikes renders gradient-based dif…
  pubmed Chen Y, Sun W, Meng M 2026 May 30 置信度 0.82
• Unified Temporal-Spectral-Spatial Modeling for Robust and Generalizable Motor Imagery Brain-Computer Interfaces.
  Motor imagery (MI)-based brain-computer interfaces (BCIs) have led to great interest as a result of their potential use in neurorehabilitation, assistive robotics, and human-computer interaction. However, decoding electroencephalographic (EEG) signals with hig…
  pubmed Muksimova S, Iskhakova N, Cho YI 2026 May 24 置信度 0.82
• Decoding motor imagery related to major mimetic muscles from electroencephalography.
  Functional and aesthetic deficits in individuals with facial nerve paralysis (FNP) significantly impair their quality of life. By decoding motor intentions and controlling rehabilitation devices, motor imagery (MI)-based brain-computer interfaces can improve o…
  pubmed Sun H, Ding M, Shan X, Xie S 等 2026 Jun 25 置信度 0.82
• Adaptive reconfiguration of prefrontal networks during prolonged cognitive interference: Evidence from fNIRS.
  In the era of information overload, understanding the brain's adaptive responses to prolonged cognitive tasks is critical. This study investigates the neural compensatory mechanisms that sustain cognitive performance under mental fatigue, offering insights int…
  pubmed Pan Y, Peng J, Li X, Jin X 等 2026 Oct 1 置信度 0.82
• LEGEND: Lorentzian electro-modal graph encoder for neural decoding for SCI rehabilitation.
  Spinal cord injury (SCI) severs voluntary motor control between cortical intent (electroencephalography, EEG, above the lesion) and peripheral muscle activity (electromyography, EMG, below it), leaving spinal circuit signals (electrospinography, ESG) as the cr…
  pubmed Gangolu R, Kadambari KV 2026 Aug 15 置信度 0.82
• A Dynamic Mutual Information Measure of Phase-Amplitude Coupling With Uncertainty Quantification.
  Phase-amplitude coupling (PAC)-in which the phase of a low-frequency rhythm modulates the amplitude of a higher-frequency oscillation-is widely observed across the brain and linked to cognition and neurological disorders including Parkinson's disease, epilepsy…
  pubmed Perley AS, Coleman TP 2026 Aug 置信度 0.82
• Auricular Vagus Nerve Stimulation Combined with Physical Therapy for Individuals with Parkinson's Disease: A Pilot Randomized Sham-Controlled Trial.
  Background: Both neuromodulation and physical therapy have been shown to mitigate motor and non-motor symptoms of Parkinson's disease. To date, no studies have examined the integration of transcutaneous auricular vagus nerve stimulation (taVNS) with physical t…
  pubmed Evancho A, Dawson J, Walker HC, Ballmann CG 等 2026 Jun 17 置信度 0.82
• PG-MCTFormer: A Prior-Guided Multi-Scale Convolutional Transformer for Interpretable Motor Imagery EEG Classification.
  Motor imagery brain-computer interfaces (MI-BCIs) have important applications in neurorehabilitation, assistive communication, and non-muscular human-machine interaction. From a bionic neural-interfacing perspective, MI-BCI decoding provides a computational br…
  pubmed Yuan J, Zhang R, Zhao Y, Zhou W 等 2026 May 30 置信度 0.82
• Bridging Three Decades: Global Self-Harm Trends From 1990-2021 and Projections to 2040.
  Self-harm, which includes both nonsuicidal self-injury and suicidal behaviors, poses a major global public health challenge. This study provides a comprehensive analysis of trends in self-harm worldwide, the socioeconomic disparities associated with it, and fu…
  pubmed Zhu H, Zhang X, Chen T, Lim Z 等 2026 Jun 15 置信度 0.82
• Decoding visual object recognition from EEG signals.
  Brain-computer interfaces (BCIs) and clinical EEG require compact and interpretable decoders, yet scalp sensors mix cortical signals and blur frequency-specific activity. Identifying which cortical regions and features carry discriminative visual information e…
  pubmed Kang Y, Dousty M, Khodami F, Sejdić E 2026 置信度 0.82
• Neural representation of object category and viewpoint in the entopallium of pigeons.
  Object recognition depends on the ability of the visual system to preserve stable category assignment despite variation in viewpoint. Although the mechanisms encoding object category and viewpoint have been extensively described in the primate ventral visual p…
  pubmed Zhu JC, Zhu MJ, Wu P, He QZ 等 2026 May 18 置信度 0.82
• Prefrontal fNIRS hemodynamic correlates of attentional load during rapid serial visual presentation tasks.
  Despite the growing interest in functional near-infrared spectroscopy (fNIRS) for practical brain-computer interface (BCI) applications, prefrontal hemodynamic responses during rapid serial visual presentation (RSVP) tasks remain poorly characterized, even tho…
  pubmed Lim S, Dong SY, Jung TP 2026 置信度 0.82
• Circadian Rhythm Stabilization App to Prevent Mood Episode Recurrence in Patients With Mood Disorders: A Multicenter, Double-Blind, Sham-Controlled, Randomized Clinical Trial.
  Preventing recurrence is essential for improving the clinical course of major depressive disorder (MDD) and bipolar disorder (BD). The authors developed the Circadian Rhythm for Mood (CRM) smartphone app, which provides individualized 3-day mood forecasts and …
  pubmed Yeom JW, Jeong J, Moon E, Park YM 等 2026 Jun 24 置信度 0.82
• Online decoding of rat self-paced locomotion speed from EEG using recurrent neural networks.
  Objective. Accurate and reliable neural decoding of locomotion holds promise for advancing clinical applications such as rehabilitation and prosthetic control, as well as for understanding neural correlates of action. Recent studies have demonstrated successfu…
  pubmed de Miguel A, Totah N, Maoz U 2026 Jul 8 置信度 0.82
• Decoding imagined Chinese speech: a capsule neural network based on bidirectional knowledge transfer for hierarchical multi-label classification.
  Objective. Speech imagination is one of the most important research directions in the field of brain-computer interfaces (BCIs). However, there is insufficient research on silent BCIs based on the Chinese stimulating materials. An experimental paradigm for Chi…
  pubmed Gu J, Cai Q, Wang H 2026 Jul 3 置信度 0.82
• EEG-EMG spatiotemporal cross-attention fusion network for functional upper-limb movement classification.
  Objective . Electroencephalography (EEG) and electromyography (EMG) are widely used for decoding motor intentions, yet unimodal approaches often suffer from low robustness and limited representational information. EEG-EMG hybrid brain-computer interfaces (BCIs…
  pubmed Yao Z, Zhou J, Li J, Bai Z 等 2026 Jul 13 置信度 0.82
• DuA: Dual Attentive Transformer in Long-Term Continuous EEG Emotion Analysis.
  Affective brain-computer interfaces (aBCIs) are increasingly recognized for their potential in monitoring and interpreting emotional states through electroencephalography (EEG) signals. Current EEG-based emotion recognition methods perform well with short segm…
  pubmed Liu Q, Pan Y, Liu Q, Zhang L 等 2026 Jun 22 置信度 0.82
• A New Dual-Attention Multi-Node Fusion Network for EEG-fNIRS Motor Imagery Classification.
  Brain-computer interface (BCI) based on motor imagery (MI) can realize the direct control of external devices by decoding different signals. The decoding of MI based on electroencephalogram (EEG) suffers from low spatial resolution and is susceptible to noise.…
  pubmed Feng L, Xu B, Duan L, Jia S 等 2026 Jun 22 置信度 0.82
• Exploring Synergies in Brain-Machine Interfaces: Compression vs. Performance.
  Individuals with severe neurological injuries often rely on assistive technologies, but current methods have limitations in accurately decoding multi-degree-of-freedom (DoF) movements. Intracortical brain-machine interfaces (iBMIs) use neural signals to provid…
  pubmed Cubillos LH, Kelberman MM, Mender MJ, Hite A 等 2026 Aug 置信度 0.82
• Reconstructing shared visual experiences from human brain activity across individuals.
  Reconstructing visual experiences from brain activity promises to strengthen brain-computer interfaces and our fundamental understanding of perception. However, current deep learning approaches for functional magnetic resonance imaging (fMRI)-based image synth…
  pubmed Li J, Yang Y, Huang Y, Xu K 等 2026 Sep 置信度 0.82
• Electronics with switchable flexibility for 3D conforming neural interfaces.
  The intricate cortical folds of large primates physically restrict access to substantial portions of neural information via interface devices. Here, we develop a bioelectronic system, sFlex-Fold, with switchable flexibility, representing the neural interface c…
  pubmed He X, Chamberlin M, Chen Z, Li J 等 2026 Jun 19 置信度 0.82
• Preliminary clinical and electrophysiological findings of NAc/ALIC deep brain stimulation strategy for treatment-resistant depression.
  Effective therapeutic options for treatment-resistant depression remain limited. This study investigated the clinical and electrophysiological effects of dual-target deep brain stimulation of the nucleus accumbens and anterior limb of the internal capsule. In …
  pubmed Zhang W, Xiong B, Kang Y, Gao Y 等 2026 Jun 19 置信度 0.82
• Two decades of AI-driven motion capture in rehabilitation: Mapping research networks, thematic hotspots, and future trajectories.
  Motion capture technology integration in artificial intelligence (AI)-driven rehabilitation represents a rapidly expanding interdisciplinary field with significant potential for advancing movement analysis and motor recovery. A comprehensive bibliometric mappi…
  pubmed Huang X, Xu J, Chen L 2026 Jan-Dec 置信度 0.82
• Dynamic wavelet-based augmentation for enhanced EEG-based imagined speech classification.
  Brain-computer interfaces allow direct communication between the brain and external devices. They have real potential for assistive technologies and neurorehabilitation. Among the various paradigms, imagined speech decoding aims to translate silent mental spee…
  pubmed Mohan A, Anand RS 2026 Aug 15 置信度 0.82
• A mosaic of whole-body representations on the human precentral gyrus.
  Understanding how the body is represented in the motor cortex is key to understanding how the brain controls movement. Although the motor cortex has been mapped in animal models at a fine scale 1-10 , characterization in humans remains primarily limited to low…
  pubmed Deo DR, Okorokova EV, Pritchard AL, Hahn NV 等 2026 Aug 置信度 0.82
• A novel transformer architecture for EEG decoding and neuroscientific analysis.
  Deep learning has significantly advanced brain-computer interface (BCI) technology. However, most deep learning models operate as black boxes, limiting their clinical applicability and scientific interpretability. This lack of transparency makes it difficult t…
  pubmed Yeom HG, Choi WS, An KM 2026 Jun 17 置信度 0.82
• Embedding EEG trajectories in a Möbius-like manifold: An exploratory study.
  Time-frequency decompositions and nonlinear dynamical methods analyze electroencephalographic (EEG) signals as time series evolving in Euclidean state spaces. We explore an alternative representation of EEG dynamics in which neural activity evolves within a M&…
  pubmed Tozzi A 2026 Aug 置信度 0.82
• Stability and neurophysiological validity of graph connectivity features for non-stationary motor imagery BCIs.
  Objective. Motor imagery (MI) Electroencephalography (EEG) brain-computer interfaces (BCIs) degrade under longitudinal non-stationarity, especially in amyotrophic lateral sclerosis (ALS). Functional connectivity (FC) has been proposed as an alternative feature…
  pubmed Patel R, Bryson B, Carlson T, Demosthenous A 等 2026 Jun 30 置信度 0.82
• Untethered thin-film neurostimulator wrapped around tiny nerve trunks for wireless neuromodulation.
  Electrical stimulation of tiny peripheral nerve trunks for near-organ neuromodulation enables precise electroceutical therapy for refractory diseases, but long-term stable neuromodulation of these delicate, fragile nerve trunks remains an engineering challenge…
  pubmed Sun R, Wang W, Liu W, Yang M 等 2026 Jun 19 置信度 0.82
• Cells on IC Chip.
  Cellular signals are essential for sensing the microenvironment and coordinating physiological functions. Their multimodal nature, encompassing electrophysiological, chemical, mechanical, and optical components, helps define cellular functional states and fate…
  pubmed Hui W, Wang Y, Wei M, Yu S 等 2026 Jul 24 置信度 0.82
• Domain-aware domain-class adaptation network for motor execution to motor imagery EEG classification.
  Motor imagery (MI) is one of the most widely used paradigms in electroencephalogram (EEG)-based brain-computer interfaces (BCIs). In recent years, deep learning and transfer learning techniques have been increasingly adopted to further improve MI-EEG decoding …
  pubmed Wang J, Xu G, Du C, Li Z 等 2026 置信度 0.82
• Mapping the functional connectome between grey matter and white matter.
  Brain white matter (WM) has traditionally been viewed as a passive conduit for neural transmission. However, evidence of blood oxygen level-dependent (BOLD) signals measured from the WM suggests its active participation in grey matter (GM) functional networks.…
  pubmed Zhou J, Li W, Luo S, Chen K 等 2026 Jun 16 置信度 0.82
• A skin-conformal rigid-in-soft array-based imaging system.
  Array-based imaging systems offer unparalleled capabilities for mapping complex environments, but their inherent structural rigidity prevents intimate integration with dynamic, non-rigid hosts such as human skin and soft robots. While flexible visual sensor ar…
  pubmed Yuan X, Zhang J, Liu Y, Wang Y 等 2026 Jun 16 置信度 0.82
• Motor imagery supported by augmented reality activates motor brain areas similarly to physical movements.
  Objective . Motor imagery (MI) is a well-established cognitive process that may enhance motor skills and recovery during motor rehabilitation. Integrating action observation (AO) and augmented reality (AR) into MI tasks is a promising approach to enhance brain…
  pubmed Fenoglio E, Garro F, Bucchieri A, Semprini M 2026 Jun 30 置信度 0.82
• Structural Designs and Implantation Strategies of Penetrating Flexible Neural Electrodes: From Planar Shanks to Volumetric Neural Interfaces.
  This article reviews recent advances in the structural design and implantation strategies of penetrating flexible neural electrodes for intracortical recording. Traditional rigid electrodes suffer from limited long-term stability due to mechanical mismatch wit…
  pubmed Gu W, Ju J, Wang L 2026 Jun 16 置信度 0.82
• Training and transfer effect of evoked brain responses by brain-computer interaction.
  Electroencephalography (EEG)-based neuro feedback training (NFT) guides users to regulate their neural activity via sensory feedback and further modulates their cognitive state or function. It is a crucial approach to improving brain-computer interface (BCI) p…
  pubmed Li M, Jiang J, Dong B, Zhao R 等 2026 Jun 16 置信度 0.82
• Advances in printable flexible and stretchable thin-film electrodes: materials, interfaces, technologies and bioelectronic applications.
  The mechanical mismatch between rigid clinical electrodes and soft biological tissues remains a primary bottleneck restricting the stability of long-term electrophysiological monitoring. Printable flexible thin-film electrodes offer a compelling solution by en…
  pubmed Gu B, Zhao H, Long F, Li Q 等 2026 Jul 23 置信度 0.82
• Engineered Injectable Coaxial Supramolecular Hydrogel for a Minimally Invasive Neural Electrode.
  Implantable neural electrodes with long-term stability remain a central challenge for brain-computer interfaces due to the severe mechanical mismatch between rigid electrodes and soft neural tissue, which triggers chronic inflammation and signal degradation. H…
  pubmed Tao Y, Zhang F, Zhu D, Zhang S 等 2026 Jul 6 置信度 0.82
• An asynchronous production line of meiotic prophase I in the mouse fetal ovary.
  The initiation of meiosis in the female germline of mammals is a gradual process, but there is currently no clear quantitative framework for determining the precise timing of its onset. Here, we attempt to standardize the description of meiotic entry timing th…
  pubmed Jin Z, Liu C, Liu G, Feng G 等 2026 Aug 1 置信度 0.82
• Noise-Driven Feature Enhancement of High-Frequency SSVEP Through Underdamped Second-Order Stochastic Resonance Energy Transfer.
  Brain-computer interface (BCI) systems leveraging high-frequency steady-state visual evoked potentials (SSVEP) enhance user comfort, but their signals suffer from significant amplitude attenuation, which challenges precise detection. To address this, we propos…
  pubmed Fang C, Xu G, Chen R, Li H 等 2026 置信度 0.82
• Auditory Perception as a Surrogate for Auditory Imagery in EEG-Based BCI Training: Neural Evidence and a Feasibility Study.
  Brain-computer interface (BCI) systems are commonly classified as reactive or active. Reactive BCIs rely on responses to external stimuli, simplifying decoding but limiting direct user control. In contrast, active BCIs enable intuitive control through spontane…
  pubmed Zhang Z, Hamada H, Rangpong P, Connelly A 等 2026 置信度 0.82
• A Multiscale Decoding Approach of Subject-Independent Motor Imagery EEG Signal Combined with Data Alignment Strategy.
  Brain-computer interface (BCI) leverages artificial intelligence (AI) and wearable electroencephalography (EEG) sensors to decode brain signals, significantly enhancing quality of life. EEG-based motor imagery (MI) brain signals are widely used in various BCI …
  pubmed Li J, Li Y, Shi W, Kang R 等 2026 Jun 15 置信度 0.82
• EEG blink and gaze control using random forest classification for accessible assistive robotic navigation in real world conditions.
  This study presents an EEG-based Brain-Computer Interface for intuitive robotic navigation driven by ocular activity. A real multi-subject dataset collected from 15 participants was used to extract blink- and gaze related EEG features for five control commands…
  pubmed Nechchad M, Elkari B, Midaoui IE, Cadi SAE 等 2026 Jun 13 置信度 0.82
• NEURAL-VOX: NEURal auditory language decoding for voice and text reconstruction.
  Neural decoding of perceived linguistic content from non-invasive brain recordings remains a profound scientific challenge with transformative implications for assistive technologies. Existing approaches often struggle to generate intermediate representations,…
  pubmed Jin Z, Li D, Zhou Q, Wang Z 2026 Jun 7 置信度 0.82
• A Conversational Brain-Artificial Intelligence Interface.
  We introduce Brain-Artificial Intelligence Interfaces (BAIs) as a new class of Brain-Computer Interfaces (BCIs). Unlike conventional BCIs, which rely on intact cognitive capabilities, BAIs leverage the power of artificial intelligence to replace parts of the n…
  pubmed Meunier A, Zak MR, Munz L, Garkot S 等 2026 置信度 0.82