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• Finite element analysis of a neural implant for cytostatic hypothermia and a novel heat management system.
  The treatment of glioblastoma (GBM) presents significant challenges, with median survival rates remaining low despite standard-of-care therapies. A novel approach, cytostatic hypothermia (CH), is under development against GBM; it is a window of temperature (ty…
  pubmed Enam SF, Chen R, Chamani F, Bellamkonda R 2025 Nov 13 置信度 0.82
• An Active, Multimodal Neural Interface for Real-Time Monitoring of Cortical Electrical, Thermal, and Optical Dynamics.
  Chronic neurophysiological monitoring devices facilitate the timely diagnosis and treatment of episodic or recurrent neurological disorders. Compared with passive electrodes, silicon-based active transistors provide intrinsic signal amplification and, when com…
  pubmed Li J, Lu Y, Li Z, Jin L 等 2026 Jan 置信度 0.82
• Lower-Limb Motor Imagery Recognition Prototype Based on EEG Acquisition, Filtering, and Machine Learning-Based Pattern Detection.
  Advances in brain-computer interface (BCI) research have explored various strategies for acquiring and processing electroencephalographic (EEG) signals to detect motor imagery (MI) activities. However, the complexity of multichannel clinical systems and proces…
  pubmed Moreno-Castelblanco SR, Vélez-Guerrero MA, Callejas-Cuervo M 2025 Oct 16 置信度 0.82
• Trans-cVAE-GAN: Transformer-Based cVAE-GAN for High-Fidelity EEG Signal Generation.
  Electroencephalography signal generation remains a challenging task due to its non-stationarity, multi-scale oscillations, and strong spatiotemporal coupling. Conventional generative models, including VAEs and GAN variants such as DCGAN, WGAN, and WGAN-GP, oft…
  pubmed Yao Y, Wang X, Hao X, Sun H 等 2025 Sep 26 置信度 0.82
• Using Low-Intensity Focused Ultrasound to Treat Depression and Anxiety Disorders: A Review of Current Evidence.
  Background : Depression and anxiety disorders impact millions globally. In recent years, low-intensity focused ultrasound (LIFU), characterized by its high precision, deep penetration, and non-invasive nature, has garnered significant interest in neuroscience …
  pubmed Du A, Huang M, Wang Z, Zhou H 等 2025 Oct 21 置信度 0.82
• P300 Spatiotemporal Prior-Based Transformer-CNN for Auxiliary Diagnosis of PTSD.
  Objectives: To address the challenges of subjectivity, misdiagnosis and underdiagnosis in post-traumatic stress disorder (PTSD), this study proposes an objective auxiliary diagnostic method based on P300 signals. Existing studies largely rely on conventional P…
  pubmed Tan L, Fang H, Ding P, Wang F 等 2025 Oct 19 置信度 0.82
• An Explainable Web-Based Diagnostic System for Alzheimer's Disease Using XRAI and Deep Learning on Brain MRI.
  Background: Alzheimer's disease (AD) is a progressive neurodegenerative condition marked by cognitive decline and memory loss. Despite advancements in AI-driven neuroimaging analysis for AD detection, clinical deployment remains limited due to challenges in mo…
  pubmed Aksoy S, Daou A 2025 Oct 10 置信度 0.82
• [Ethical considerations for artificial intelligence-enhanced brain-computer interface].
  Artificial intelligence-enhanced brain-computer interfaces (BCI) are expected to significantly improve the performance of traditional BCIs in multiple aspects, including usability, user experience, and user satisfaction, particularly in terms of intelligence. …
  pubmed Cao Y, Xue Y, Yang H, Wang F 等 2025 Oct 25 置信度 0.82
• [Brain computer interface nursing bed control system based on deep learning and dual visual feedback].
  In order to meet the need of autonomous control of patients with severe limb disorders, this paper designs a nursing bed control system based on motor imagery-brain computer interface (MI-BCI). In view of the low decoding performance of cross-subjects and the …
  pubmed Wang P, Ji X, Wang J, Yu X 2025 Oct 25 置信度 0.82
• Real-Time EEG Decoding of Motor Imagery via Nonlinear Dimensionality Reduction (Manifold Learning) and Shallow Classifiers.
  This study introduces a real-time processing framework for decoding motor imagery EEG signals by integrating manifold learning techniques with shallow classifiers. EEG recordings were obtained from six healthy participants performing five distinct wrist and ha…
  pubmed Kucukselbes H, Sayilgan E 2025 Oct 13 置信度 0.82
• LRR-UNet: A Deep Unfolding Network With Low-Rank Recovery for EEG Signal Denoising.
  Electroencephalogram (EEG) signals are crucial for brain-computer interface research but are highly susceptible to noise contamination, necessitating effective denoising. While deep learning has been widely applied, its "black-box" nature limits interpretabili…
  pubmed Yue X, Lu L, Liu H, Zang Y 2025 Oct 置信度 0.82
• Spatiotemporal Immune Dynamics in Experimental Retinal Ganglion Cell Injury Models.
  The damage and regeneration of retinal ganglion cells (RGCs) have been extensively studied. Among them, immune cells in different parts of the visual pathway play an important role in injury, regeneration and repair, but a comprehensive analysis of their spati…
  pubmed Yang C, Wang X, Ye X, Shen Y 等 2025 Oct 置信度 0.82
• Decoding covert visual attention of electroencephalography signals using continuous wavelet transform and deep learning approach.
  Covert visual attention decoding from EEG signals is a key challenge in cognitive neuroscience and brain-computer interface applications. Traditional approaches often rely on manual feature extraction and handcrafted pipelines, which limit scalability and gene…
  pubmed Hazrati H, Daliri MR 2025 Oct 27 置信度 0.82
• Foundation models for EEG decoding: current progress and prospective research.
  Objective. Electroencephalography (EEG) records the spontaneous electrical activity in the brain. Despite the growing application of deep learning in EEG decoding, traditional methods still rely heavily on supervised learning, which is often limited by task sp…
  pubmed Yao Y, Wang H, Chen L, Peng Y 等 2025 Nov 13 置信度 0.82
• Magnetically Actuated Soft Electrodes for Multisite Bioelectrical Monitoring of Ex Vivo Tissues.
  Multisite electrophysiological monitoring of ex vivo tissues and organ models is essential for basic research and drug toxicity evaluation. However, conventional microelectrode arrays with fixed positions and rigid structures are insufficient for dynamic,…
  pubmed Peng Q, Huang J, Li C, Jiang M 等 2025 置信度 0.82
• Motor Imagery and Motor Execution: A Narrative Review of Electroencephalographic (EEG) Signatures, Methodological Consistency, and Translational Applications.
  This narrative review evaluates when electroencephalography (EEG) signatures elicited by kinesthetic motor imagery (MI) genuinely approximate those of motor execution (ME), appraises methodological consistency across studies, and outlines pragmatic routes to t…
  pubmed Jayalaksshme Srinivasan K, Periasamy P, Gunasekaran S 2025 Sep 置信度 0.82
• Ethical imperatives in the commercialization of brain-computer interfaces.
  The rapid commercialization of brain-computer interfaces (BCIs) raises urgent ethical and scientific challenges for human research oversight. While BCIs hold transformative potential for treating neurological disorders, their premature translation into consume…
  pubmed Boonstra JT 2025 Dec 置信度 0.82
• The effect of device-based neuromodulation on the motor recovery of patients with spinal cord injury.
  This paper systematically analyzes literature from PubMed, MEDLINE, Embase, and Cochrane databases over the past 10 years (up to May 25, 2025). It employs defined search terms, inclusion/exclusion criteria, and a documented search flow to evaluate mechanisms, …
  pubmed Li J, Chen T, Yan X, Luo L 2025 Dec 置信度 0.82
• Advanced Facial Expression Recognition Using Model Averaging Ensembles of Convolutional Neural Networks and CAM Analysis.
  Facial expressions play a vital role in non-verbal communication, conveying a wide range of emotions and messages. Although prior research achieved notable advances through architecture design or dataset-specific optimization, few studies have integrated multi…
  pubmed Zadeh Makouei ST, Uyulan C, Erguzel TT, Tarhan N 2025 Oct 25 置信度 0.82
• Real-time self-supervised denoising for high-speed fluorescence neural imaging.
  Self-supervised denoising methods significantly enhance the signal-to-noise ratio in fluorescence neural imaging, yet real-time solutions remain scarce in high-speed applications. Here, we present the FrAme-multiplexed SpatioTemporal learning strategy (FAST), …
  pubmed Wang Y, Gu Y, Wang J, Xuan A 等 2025 Oct 24 置信度 0.82
• Latent profile analysis of childhood trauma in Chinese individuals with bipolar disorder: Differential associations with suicidality and clinical symptomatology.
  Childhood trauma is a well-established risk factor for poor clinical outcomes in bipolar disorder (BD), yet most studies have relied on cumulative trauma scores, potentially overlooking heterogeneity in trauma exposure and its differential impact on psychopath…
  pubmed Pan Y, Yang X, Wu M, Hu S 2026 Feb 1 置信度 0.82
• Reconstructing Unseen Sentences From Speech-Related Biosignals for Open-Vocabulary Neural Communication.
  Brain-to-speech (BTS) systems represent a groundbreaking approach to human communication by enabling the direct transformation of neural activity into linguistic expressions. While recent non-invasive BTS studies have largely focused on decoding predefined wor…
  pubmed Kim DS, Lee SH, Yin K, Lee SW 2025 置信度 0.82
• Experience-based co-design of a smartphone app for post-stroke aphasia self-management: a process evaluation.
  Experience-based co-design (EBCD) is a well-established method to engage patients, family members and healthcare professionals in the co-design of interventions. A key principle of EBCD is equal partnership. For adults with acquired communication disabilities,…
  pubmed Hudson K, Burton B, Worthy P, Isaacs M 等 2025 Dec 23 置信度 0.82
• SMMTM: Motor imagery EEG decoding algorithm using a hybrid multi-branch separable convolutional self-attention temporal convolutional network.
  Motor imagery (MI) is a brain-computer interface (BCI) technology with the potential to change human life in the future. MI signals have been widely applied in various BCI applications, including neurorehabilitation, smart home control, and prosthetic control.…
  pubmed Cao D, Yu Z, Wang J, Wu Y 2025 置信度 0.82
• CIRE: A Chinese EEG Dataset for decoding speech intention modulated by prosodic emotion.
  Neural decoding of speech intention could advance the development and application of brain-computer interface (BCI) technology. Currently, lack of dataset limited the research on decoding the true speech intention, especially the diverse intentions expressed b…
  pubmed He S, Li Z, Dang J, Luo Y 等 2025 Oct 21 置信度 0.82
• Neuroanatomy-Informed Brain-Machine Hybrid Intelligence for Robust Acoustic Target Detection.
  Sound target detection (STD) plays a critical role in modern acoustic sensing systems. However, existing automated STD methods show poor robustness and limited generalization, especially under low signal-to-noise ratio (SNR) conditions or when processing previ…
  pubmed Shi J, Wang J, Fei W, Feleke AG 等 2025 置信度 0.82 InterpretabilityComputer scienceRobustness (evolution)Decoding methodsArtificial intelligence
• Detection and rehabilitation of age-related motor skills impairment: Neurophysiological biomarkers and perspectives.
  Age-related decline in motor control, manifesting as impaired posture, gait, and slowed movement execution, significantly diminishes the quality of life in older adults. These functional deficits are associated with alterations in neurophysiological data, whic…
  pubmed Gordleeva S, Grigorev N, Pitsik E, Kurkin S 等 2026 Jan 置信度 0.82
• Emoface: AI-assisted diagnostic model for differentiating major depressive disorder and bipolar disorder via facial biomarkers.
  Affective disorders, including Major Depressive Disorder (MDD) and Bipolar Disorder (BD), exhibit significant mood abnormalities, making rapid diagnosis essential for social stability and healthcare efficiency. Traditional diagnostic solutions, including medic…
  pubmed Yu J, Chen J, Zhang Y, Lyu H 等 2025 Oct 18 置信度 0.82
• Modulation of brain oscillations by continuous theta burst stimulation in patients with insomnia.
  Continuous theta burst stimulation (cTBS) induces long-lasting depression of cortical excitability in motor cortex. In the present study, we explored the modulation of cTBS on resting state electroencephalogram (rsEEG) during wakefulness and subsequent sleep i…
  pubmed Zhu X, Jiang L, Shi L, Li F 等 2025 Oct 17 置信度 0.82
• Electromagnetic Stimulation to Reduce Disability After Ischemic Stroke: The EMAGINE Randomized Clinical Trial.
  Ischemic stroke remains a leading cause of disability worldwide. Preliminary studies have suggested that noninvasive, frequency-tuned, low-intensity electromagnetic network targeting field (ENTF) stimulation may have recovery benefit for patients with stroke.
  pubmed Saver JL, Duncan PW, Stein J, Cramer SC 等 2025 Oct 1 置信度 0.82
• A Moratorium on Implantable Non-Medical Neurotech Until Effects on the Mind are Properly Understood.
  The development of non-medical consumer neurotechnology is gaining momentum. As companies chart the course for future implanted and invasive brain-computer interfaces (BCIs) in non-medical populations, the time has come for concrete steps toward their regulati…
  pubmed Bublitz C, Chandler JA, Molnár-Gábor F, Navarro MS 等 2025 置信度 0.82
• TVB C++: A Fast and Flexible Back-End for The Virtual Brain.
  This study introduces TVB C++, a streamlined and fast C++ Back-End for The Virtual Brain (TVB), a renowned platform and a benchmark tool for full-brain simulation. TVB C++ is engineered with speed as a primary focus while retaining the flexibility and ease of …
  pubmed Martín I, Zamora-López G, Fousek J, Schirner M 等 2026 Jan 置信度 0.82
• Diffusion trajectory of atypical morphological development in autism spectrum disorder.
  Brain development from childhood through adolescence is crucial for understanding autism spectrum disorder (ASD). Yet how functional networks regulate developmental changes in brain morphology remains unclear. Here, we analyzed gray matter volume (GMV) and fun…
  pubmed Feng Y, Zhao W, Li Y, Yin Q 等 2025 Oct 16 置信度 0.82
• Neural mechanism of the sexually dimorphic winner effect in mice.
  The "winner effect," where prior victories increase the likelihood of future wins, profoundly shapes social hierarchy dynamics and competitive motivation. Although human literature suggests a less pronounced winner effect in females, the neural mechanisms unde…
  pubmed Zheng D, Xin Q, Jin S, Zhou A 等 2025 Dec 17 置信度 0.82
• Advances in flexible high-density microelectrode arrays for brain-computer interfaces.
  Recent advances in flexible high-density microelectrode arrays (FHD-MEA) have revolutionized brain-computer interfaces (BCIs) by providing high spatial resolution, mechanical compliance, and long-term biocompatibility. This technology enables stable neural rec…
  pubmed Ban S, Chong D, Kwon J, Lee S 等 2026 Jan 15 置信度 0.82
• Usability and user experience of tablet-based teleneuropsychology platform for the diagnosis of mild cognitive impairment: the Italian experience.
  BACKGROUND: The COVID-19 pandemic has accelerated the adoption of digital health technologies across disciplines, including clinical neuropsychology, where accessible and efficient platforms for cognitive diagnosis and monitoring are needed. However, limited u…
  pubmed Panzavolta A, Caffarra P, De Vita D, Dodich A 等 2025 Dec 置信度 0.82
• Effectiveness of Electroencephalographic Neurofeedback for Parkinson's Disease: A Systematic Review and Meta-Analysis.
  Background: Electroencephalographic (EEG) neurofeedback training is gaining traction as a non-pharmacological treatment option for Parkinson's disease (PD). This paper reports the first pre-registered, integrated systematic review and meta-analysis of studies …
  pubmed von Altdorf LAWR, Bracewell M, Cooke A 2025 Sep 30 置信度 0.82
• Motor Imagery Acquisition Paradigms: In the Search to Improve Classification Accuracy.
  In recent years, advances in medicine have been evident thanks to technological growth and interdisciplinary research, which has allowed the integration of knowledge, for example, of engineering into medical fields. This integration has generated developments …
  pubmed Reyes D, Sieghartsleitner S, Loaiza H, Guger C 2025 Oct 7 置信度 0.82
• An EEG-based Imagined Speech Database for comparing Paradigm Designs.
  Brain-computer interfaces (BCIs) attempt to establish a connection between the human mind and a computer system. While recent computational advances continue to improve these interfaces, human factors have been overlooked. Factors such as fatigue and attention…
  pubmed Aguilera-Rodríguez E, Cuevas-Romero A, Mendoza-Franco S, Wornovitzky-Green J 等 2025 Oct 15 置信度 0.82
• Dynamical modeling of torso stability in running via hip-knee three pairs of six springs.
  Prior spring-mass locomotion models achieve stable gaits by prescribing a constant touchdown angle (TD angle) during the flight phase; however, they either exclude torso modeling or depend on online state feedback to stabilize the pitch angle of the torso. In …
  pubmed Asai H, Noda T, Morimoto J 2025 Nov 10 置信度 0.82
• Participant Engagement, Epistemic Injustice, and Early-Phase Implanted Neural Device Research.
  In recent years, participant engagement initiatives in research on implanted neural devices have significantly increased. However, there remains little consensus on the motivations, goals, and best practices for engagement efforts. Drawing on the concept of pa…
  pubmed Levy L, Feinsinger A 2025 Sep-Oct 置信度 0.82
• A time-frequency feature fusion-based deep learning network for SSVEP frequency recognition.
  Steady-state visual evoked potential (SSVEP) has emerged as a pivotal branch in brain-computer interfaces (BCIs) due to its high signal-to-noise ratio (SNR) and elevated information transfer rate (ITR). However, substantial inter-subject variability in electro…
  pubmed Dai Y, Chen Z, Cao TA, Zhou H 等 2025 置信度 0.82
• Precision TMS through the integration of neuroimaging and machine learning: optimizing stimulation targets for personalized treatment.
  Transcranial Magnetic Stimulation (TMS), a non-invasive neuromodulation technique based on electromagnetic induction, modulates cortical excitability by inducing currents with a magnetic field. TMS has demonstrated significant clinical potential in the treatme…
  pubmed Liu B, Hu C, Bao P 2025 置信度 0.82
• Gut microbiota remodeling and sensory-emotional functional disruption in adolescents with bipolar depression.
  Adolescence is the peak period of newly-onset bipolar disorder (BD). Accumulating studies have revealed disturbed gut microbiota can interfere with neurodevelopment in adolescents. In this study, we aimed to characterize the gut microbiota in adolescents with …
  pubmed Tang A, Chen Y, Ding J, Li Z 等 2025 Oct 14 置信度 0.82
• An incremental adversarial training method enables timeliness and rapid new knowledge acquisition.
  Adversarial training is an effective defense method for deep models against adversarial attacks. However, current adversarial training methods require retraining the entire neural network, which consumes a significant amount of computational resources, thereby…
  pubmed Ge Y, Dong Y, Sun H, Liu Y 等 2025 Oct 14 置信度 0.82
• Virtual Reality Experience as Reflected in EEG Microstates.
  The development of virtual reality technology has provided psychological research with powerful tools by presenting stimuli and constructing scenarios, and the combination of VR and neuroimaging techniques begins to provide particularly interesting insights in…
  pubmed Ma H, Zhao J, Hommel B, Ma K 2025 Oct 14 置信度 0.82
• Electroceuticals for Paralympic Athletes: A Fair Play and Classification Concern?
  Electroceuticals such as brain computer interfaces and spinal cord stimulation (SCS) represent transformative strategies for neuromodulation. Research has demonstrated that SCS can ameliorate motor and autonomic cardiovascular dysfunctions, particularly in ind…
  pubmed Hodgkiss DD, Balthazaar SJT, Gee CM, Boardley ID 等 2026 Feb 置信度 0.82
• Brain-computer interface training for multimodal functional recovery in patients with brain injury: a case series.
  Patients with impaired brain function often face sequelae such as limb movement, cognitive, and language impairment, and there are limitations in the efficiency of traditional rehabilitation methods. This study examined whether motor imagery-based brain-comput…
  pubmed Cao P, Guo S, Zhang G, Zan X 等 2025 Oct 1 置信度 0.82
• A mutational hotspot in TUBB2A associated with impaired heterodimer formation and severe brain developmental disorders.
  Microtubules are essential components of the neuronal cytoskeleton. The α - and β -tubulins, variably expressed in the central nervous system, play key roles in neurogenesis and brain development. Pathogenic variants in TUBB2A have recently been id…
  pubmed Di Pasquale G, Colella J, Di Cataldo CP, Soler MA 等 2025 置信度 0.82
• To Explant or not to Explant Neural Implants: an Empirical Study into Deliberations of Dutch Research Ethics Committees.
  Neural implants such as brain-computer interfaces and spinal cord stimulation offer therapeutic prospects for people with neurological and psychiatric disorders. As neural devices are increasingly tested in clinical research, the decision to explant requires c…
  pubmed Bassil K, Jongsma K 2025 置信度 0.82
• Beyond technology: How XR quality features shape user experience and physical activity determinants in exergaming.
  Promoting physical activity (PA) in healthcare is essential, yet inactivity remains widespread. Exergames (EGs) offer a playful strategy to foster PA. Implementation technologies range from screen-based consoles to Extended Reality (XR) devices. Because XR env…
  pubmed Perrochon A, El Ayoubi K, Boujut A, Attoh-Mensah E 2025 Oct 置信度 0.82
• Sensitivity analysis of the balloon model parameters in functional near-infrared spectroscopy simulation.
  Accurate modeling of the hemodynamic response is critical for fNIRS data interpretation. While the Balloon model is a cornerstone for this, the quantitative impact of its key parameters on the fNIRS signal, particularly in the presence of realistic artifacts, …
  pubmed Althobaiti M 2025 Dec 置信度 0.82
• EEG-CLIP: A transformer-based framework for EEG-guided image generation.
  Decoding visual perception from neural signals represents a fundamental step toward advanced brain-computer interfaces (BCIs), where functional magnetic resonance imaging (fMRI) has shown promising results despite practical constraints in deployment and costs.…
  pubmed Cao X, Gong P, Zhang L, Zhang D 2026 Feb 置信度 0.82
• A multi-level teacher assistant-based knowledge distillation framework with dynamic feedback for motor imagery EEG decoding.
  Deep learning has shown promise in motor imagery-based electroencephalogram (MI-EEG) decoding, a critical task in non-invasive brain-computer interfaces (BCIs). In response to the computational complexity of deep learning models to be deployed in practical BCI…
  pubmed Wu J, Tang B, Wang Y, Li C 等 2026 Feb 置信度 0.82
• Three-dimensional microsurgical anatomy of the basal aspect of the cerebrum: a fiber dissection study.
  Due to the unique nature of the basal structures of the cerebrum, only a limited portion is exposed during surgery, leading to potential risk of damage to surrounding structures. The white matter fiber tracts in the basal cerebrum may be more critical than the…
  pubmed Li C, Di G, Xiong Z, Sun L 等 2026 Mar 1 置信度 0.82
• Multimodal MBC-ATT: cross-modality attentional fusion of EEG-fNIRS for cognitive state decoding.
  With the rapid development of brain-computer interface (BCI) technology, the effective integration of multimodal biological signals to improve classification accuracy has become a research hotspot. However, existing methods often fail to fully exploit cross-mo…
  pubmed Li Y, Zhu L, Huang A, Zhang J 等 2025 置信度 0.82
• Correction: Filter bank common spatial pattern and envelope-based features in multimodal EEG-fTCD brain-computer interfaces.
  [This corrects the article DOI: 10.1371/journal.pone.0311075.].
  pubmed PLOS One Staff 2025 置信度 0.82
• AI reshaping life sciences: intelligent transformation, application challenges, and future convergence in neuroscience, biology, and medicine.
  The rapid advancement of artificial intelligence (AI) is profoundly transforming research paradigms and clinical practices across neuroscience, biology, and medicine with unprecedented depth and breadth. Leveraging its robust data-processing capabilities, prec…
  pubmed Gong J, Zhao Z, Niu X, Ji Y 等 2025 置信度 0.82
• ACXNet hybrid deep learning model for cross task mental workload estimation using EEG neural manifolds.
  Mental workload is an interdisciplinary construct that significantly influences human performance, particularly in tasks requiring sustained attention and cognitive processing. Effective mental workload assessment is critical for preventing cognitive overload,…
  pubmed Abinaya G, Dinakaran K 2025 Oct 8 置信度 0.82
• PyHFO 2.0: an open-source platform for deep learning-based clinical high-frequency oscillations analysis.
  Objective. Accurate detection and classification of high-frequency oscillations (HFOs) in electroencephalography (EEG) recordings have become increasingly important for identifying epileptogenic zones in patients with drug-resistant epilepsy. However, few open…
  pubmed Ding Y, Zhang Y, Duan C, Daida A 等 2025 Oct 27 置信度 0.82
• High-speed photoacoustic and ultrasonic computed tomography of the breast tumor for early diagnosis with enhanced accuracy.
  We have developed a high-speed dual-modal imaging system (HDMI), designed to concurrently reveal anatomical and hematogenous details of the human breast within seconds. Through innovative system design and technical advancements, HDMI integrates large-view pho…
  pubmed Huang K, Fu P, Zhu H, Feng J 等 2025 Oct 10 置信度 0.82
• Edge AI-Brain-Computer Interfaces System: A Survey.
  Edge artificial intelligence (Edge AI) has emerged as a transformative paradigm for enhancing the performance, portability, and autonomy of brain-computer interface (BCI) systems. By integrating advanced AI capabilities directly into electroencephalography (EE…
  pubmed Nguyen MD, Do T, Tran XT, Nguyen QT 等 2025 置信度 0.82
• Visual context affects the perceived timing of tactile sensations elicited through intracortical microstimulation: a case study of two participants.
  Intracortical microstimulation (ICMS) is a technique to provide tactile sensations for a somatosensory brain-machine interface (BMI). A viable BMI must function within the rich, multisensory environment of the real world, but how ICMS is integrated with other …
  pubmed Rosenthal IA, Bashford L, Bjånes D, Pejsa K 等 2025 Nov 1 置信度 0.82
• Multisensory electronic skin with decoupled pressure-temperature-sensing capabilities for similar object recognition.
  Multisensory electronic skin (e-skin), which mimics the tactile capabilities of human skin, is pivotal in equipping robots with intelligent perceptual functions. Despite numerous advances in multifunctional perceptions, e-skin with combined mechano- and thermo…
  pubmed Ji J, Luo H, Su J, Wang S 等 2025 Oct 14 置信度 0.82
• Visually-Inspired Multimodal Iterative Attentional Network for High-Precision EEG-Eye-Movement Emotion Recognition.
  Advancements in artificial intelligence have propelled affective computing toward unprecedented accuracy and real-world impact. By leveraging the unique strengths of brain signals and ocular dynamics, we introduce a novel multimodal framework that integrates E…
  pubmed Meng W, Hou F, Chen K, Ma L 等 2026 Feb 置信度 0.82
• An Enhanced Random Convolutional Kernel Transform for Diverse and Robust Feature Extraction from High-Density Surface Electromyograms for Cross-day Gesture Recognition.
  High-density surface electromyogram (HD-sEMG) has become a powerful signal source for hand gesture recognition. However, existing approaches suffer from limited feature diversity in hand-crafted methods and high data dependency in deep learning models, necessi…
  pubmed Wu Y, Jiang X, Liu J, Guo Y 等 2026 Jan 置信度 0.82
• TFANet: a temporal fusion attention neural network for motor imagery decoding.
  In the field of brain-computer interfaces (BCI), motor imagery (MI) classification is a critically important task, with the primary objective of decoding an individual's MI intentions from electroencephalogram (EEG) signals. However, MI decoding faces signific…
  pubmed Zhang C, Liu Y, Wu X 2025 置信度 0.82
• Mouse-tracking as a tool for investigating strategic behavior in Public Goods Game: an experimental pilot study.
  Recent research has demonstrated the potential of utilizing mouse-tracking as a viable alternative method for examining attention-related attributes within the context of a multifaceted activity.
  pubmed Benachour A, Medvedev V, Zinchenko O 2025 置信度 0.82
• Gate Capacitance-Dependent Neuromorphic Functions of Organic Electrochemical Transistors.
  Neuromorphic functions of organic electrochemical transistors (OECTs) have attracted enormous research attention due to their promising application in the field of brain-mimicking computing and brain-computer interfaces. However, the essential role of gate ele…
  pubmed Lu Y, Xiong T, Liu Y, Zhou H 等 2025 Oct 16 置信度 0.82
• Decoding saccadic eye movements from brain signals using an endovascular neural interface.
  Objective. An oculomotor brain-computer interface (BCI) records neural activity from brain regions involved in planning eye movements and translates this activity into control commands. While previous successful studies have relied on invasive implants in non-…
  pubmed Rasheed S, Bennett J, Yoo PE, Burkitt AN 等 2025 Oct 24 置信度 0.82
• Minimally invasive implantation of scalable high-density cortical microelectrode arrays for multimodal neural decoding and stimulation.
  High-bandwidth brain-computer interfaces rely on invasive surgical procedures or brain-penetrating electrodes. Here we describe a cortical 1,024-channel thin-film microelectrode array and we demonstrate its minimally invasive surgical delivery that avoids cran…
  pubmed Hettick M, Ho E, Poole AJ, Monge M 等 2026 Jun 置信度 0.82
• Transcranial temporal interference stimulation for treating bipolar disorder with depressive episodes: a feasibility Study.
  Bipolar depression (BD-D) is a significant clinical challenge associated with high disease burden. Transcranial temporal interference stimulation (tTIS), a novel and noninvasive approach for targeting deep brain structures, was investigated for its efficacy an…
  pubmed Zhou H, Wang M, Qi S, Chen Q 等 2025 Dec 置信度 0.82
• Rat robot autonomous border detection based on wearable sensors.
  Bio-robots, a novel type of robot based on a brain-machine interface, have shown great potential in search and rescue tasks. Current research is focused on the bio-robot itself, such as locomotion, localization and navigation, but lacks interactions with the e…
  pubmed Xie H, Xu H, Xu K, Yu C 等 2025 Nov 26 置信度 0.82
• Editorial: Advancements in smart diagnostics for understanding neurological behaviors and biosensing applications.
  pubmed Arif S, Rehman MZU, Mushtaq Z 2025 置信度 0.82
• Physical Activity and Depressive Mood Share the Structural Connectivity Between Motor and Reward Networks.
  In various studies, exercise has been revealed to have a positive effect on alleviating depressive symptoms. However, the neural basis behind this phenomenon remains unknown, as well as its underlying biological mechanism. In this study, we used a large neuroi…
  pubmed Di S, Luo N, Shi W, Yang Z 等 2026 Apr 置信度 0.82
• Peptide design through binding interface mimicry with PepMimic.
  Peptides offer advantages for targeted therapy, including oral bioavailability, cellular permeability and high specificity, setting them apart from conventional small molecules and biologics. Here we develop an artificial intelligence algorithm, PepMimic, to t…
  pubmed Kong X, Jiao R, Lin H, Guo R 等 2026 Jul 置信度 0.82
• Transfer learning via distributed brain recordings enables reliable speech decoding.
  Speech brain-computer interfaces (BCIs) combine neural recordings with large language models to achieve real-time intelligible speech. However, these decoders rely on dense, intact cortical coverage and are challenging to scale across individuals with heteroge…
  pubmed Singh A, Thomas T, Li J, Hickok G 等 2025 Oct 1 置信度 0.82
• High - quality decoding of RGB images from the neuronal signals of the pigeon optic tectum.
  Decoding neural activity to reverse-engineer sensory inputs advances understanding of neural encoding and boosts brain-computer interface and visual prosthesis tech. A major challenge is high-quality RGB image reconstruction from natural scenes, which this stu…
  pubmed Dong Z, Xiang Y, Wang S 2025 Dec 置信度 0.82
• MEFD dataset and GCSFormer model: cross-subject emotion recognition based on multimodal physiological signals.
  Cross-subject emotion recognition is an important research direction in the fields of affective computing and brain-computer interfaces, aiming to identify the emotional states of different individuals through physiological signals such as functional near-infr…
  pubmed Deng X, Fan Z, Dong W 2025 Oct 24 置信度 0.82
• An EEG-EMG-Based Hybrid Brain-Computer Interface for Decoding Tones in Silent and Audible Speech.
  Speech recognition can be widely applied to support people with language disabilities by enabling them to communicate through brain-computer interfaces (BCIs), thus improving their quality of life. Despite the essential role of tonal variations in conveying se…
  pubmed Ju J, Zhuang Y, Yi C 2025 置信度 0.82
• Revolutionizing brain-computer interfaces: Compact and high-speed wireless neural signal acquisition.
  A brain-computer interface (BCI) facilitates the connection between the human brain and external devices by decoding neurophysiological signals, thereby enabling seamless interaction between humans and machines. However, existing neural signal acquisition syst…
  pubmed Liu M, Guo X, Cao L, Cui H 等 2025 Oct 1 置信度 0.82
• The Contribution of Wearable Devices and Artificial Intelligence to Promoting Healthy Aging.
  Healthy aging involves consistently maximizing opportunities to maintain and enhance physical and mental well-being, fostering independence, and sustaining a high quality of life. This review examines recent technological innovations aimed at promoting the wel…
  pubmed Sisubalan N, Vijay N, Kesika P, Newbegin M 等 2025 Sep 30 置信度 0.82
• Machine learning predictions from unpredictable chaos.
  Chaos is omnipresent in nature, and its understanding provides enormous social and economic benefits. However, the unpredictability of chaotic systems is a textbook concept due to their sensitivity to initial conditions, aperiodic behaviour, fractal dimensions…
  pubmed Jiang J, Chen L, Ke L, Dou B 等 2025 Oct 置信度 0.82
• Innovative augmentation techniques and optimized ANN model for imagined speech decoding in EEG-based BCI.
  Electroencephalogram (EEG) based Brain computer interface (BCI) emerges as a transformative technology with vast applications in neuroscience and rehabilitation. Imagined speech is the mental process of thinking and formulating words without vocalizing them th…
  pubmed Mohan A, Anand RS 2025 Dec 置信度 0.82
• Representation of top-down versus bottom-up attention in the right dorsolateral prefrontal cortex and superior parietal lobule.
  Visual selective attention can be categorized into top-down (goal-driven) and bottom-up (stimulus-driven) attention, with the fronto-parietal network serving as the primary neural substrate. However, fewer studies have focused on the specific roles of the righ…
  pubmed Zhang Q, Li W, Zhang T, Xiong R 等 2025 Sep 29 置信度 0.82
• Dexamethasone-loaded platelet-inspired nanoparticles improve intracortical microelectrode recording performance.
  Long-term robust intracortical microelectrode (IME) neural recording quality is negatively affected by the neuroinflammatory response following microelectrode insertion. This adversely impacts brain-machine interface (BMI) performance for patients with neurolo…
  pubmed Li L, Hartzler A, Menendez-Lustri DM, Zhang J 等 2025 Sep 29 置信度 0.82
• E-Sort: empowering end-to-end neural network for multi-channel spike sorting with transfer learning and fast post-processing.
  Objective. Spike sorting, which involves detecting and attributing spikes to their putative neurons from extracellular recordings, is a common process in electrophysiology and brain-computer interface systems. Recent advances in large-scale neural recording te…
  pubmed Han Y, Wang S 2025 Oct 17 置信度 0.82
• Frontal and parietal planning signals encode adapted motor commands when learning to control a brain-computer interface.
  Perturbing visual feedback is a powerful tool for studying visuomotor adaptation. However, unperturbed proprioceptive signals in common paradigms inherently co-varies with physical movements and causes incongruency with the visual input. This can create challe…
  pubmed Ferrea E, Morel P, Gail A 2025 Sep 置信度 0.82
• Intraoperative Techniques for Language Mapping in Brain Surgery: A Comparison Between Direct Electrical Stimulation (DES) and Electrocorticography (ECoG).
  The purpose of this overview is to compare Direct Electrical Stimulation (DES) and Electrocorticography (ECoG) techniques, assessing their respective strengths, limitations, and roles in ensuring successful language mapping during awake brain surgeries.
  pubmed de Camargo PS, Santos E Souza GO, Arévalo A, Lepski G 2025 Oct 置信度 0.82
• Assessing consciousness in patients with locked-in syndrome using their EEG.
  Research indicates that locked-in syndrome (LIS) patients retain both consciousness and cognitive functions, despite their inability to perform voluntary muscle movements or communicate. Brain-Computer Interfaces (BCIs) provide a means for these patients to co…
  pubmed Adama S, Bogdan M 2025 置信度 0.82
• An Ultra-Flexible Neural Electrode with Bioelectromechanical Compatibility and Brain Micromotion Detection.
  Neural electrodes, as core components of brain-computer interfaces(BCIs), face critical challenges in achieving stable mechanical coupling with brain tissue to ensure high-quality signal acquisition. Current flexible electrodes, including semi-invasive meninge…
  pubmed Chen D, Lu Y, Zhang S, Zhang W 等 2026 Feb 置信度 0.82
• Research progress of lung organoids in infectious respiratory diseases.
  Infectious respiratory diseases are common epidemics that often exhibit phased outbreaks, increasing the healthcare burden. Past research models for these diseases were relatively simplistic, but the emergence of organoids has transformed this landscape. Organ…
  pubmed Li J, Yang W, Liu X, Yang K 等 2025 Nov 5 置信度 0.82
• Neurodetector: EEG-Based Cognitive Assessment Using Event-Related Potentials as a Virtual Switch.
  Background/Objectives: Motor decline in older adults can hinder cognitive assessments. To address this, we developed a brain-computer interface (BCI) using electroencephalography (EEG) and event-related potentials (ERPs) as a motor-independent EEG Switch. ERPs…
  pubmed Hasegawa RP, Watanabe S 2025 Aug 27 置信度 0.82
• A Prompt-Guided Generative Language Model for Unifying Visual Neural Decoding Across Multiple Subjects and Tasks.
  Visual neural decoding not only aids in elucidating the neural mechanisms underlying the processing of visual information but also facilitates the advancement of brain-computer interface technologies. However, most current decoding studies focus on developing …
  pubmed Huang W, Li H, Qin F, Wu D 等 2026 Feb 置信度 0.82
• Temporal convolutional transformer for EEG based motor imagery decoding.
  Brain-computer interfaces (BCIs) based on motor imagery (MI) offer a transformative pathway for rehabilitation, communication, and control by translating imagined movements into actionable commands. However, accurately decoding motor imagery from electroenceph…
  pubmed Altaheri H, Karray F, Karimi AH 2025 Sep 26 置信度 0.82
• Neuralace: manufacture, parylene-C coating, and mechanical properties.
  Objective. This study investigates the mechanical properties of the Neuralace, a novel ultra-thin, high-channel-count mesh-type subdural electrode array, to characterize its mechanical compatibility with neural tissue (i.e., the forces exerted onto the brain u…
  pubmed Botero JP, Roberts SM, Mackowiak P, Witham NS 等 2025 Oct 16 置信度 0.82
• BGTransform: a neurophysiologically informed EEG data augmentation framework.
  Objective . Deep learning has emerged as a powerful approach for decoding electroencephalography (EEG)-based brain-computer interface (BCI) signals. However, its effectiveness is often limited by the scarcity and variability of available training data. Existin…
  pubmed Yue J, Xiao X, Zhang H, Xu M 等 2025 Oct 15 置信度 0.82
• Source-free domain adaptation for SSVEP-based brain-computer interfaces.
  Objective. Steady-state visually evoked potential-based Brain-computer interface (BCI) spellers assist individuals experiencing speech difficulties by enabling them to communicate at a fast rate. However, achieving a high information transfer rate (ITR) in mos…
  pubmed Berke Guney O, Kucukahmetler D, Ozkan H 2025 Oct 9 置信度 0.82
• Spiking neural networks for EEG signal analysis: From theory to practice.
  The intricate and efficient information processing of the human brain, driven by spiking neural interactions, has led to the development of spiking neural networks (SNNs) as a cutting-edge neural network paradigm. Unlike traditional artificial neural networks …
  pubmed Cai S, Lin Z, Liu X, Wei W 等 2026 Feb 置信度 0.82
• Monolithic multimodal neural probes for sustained stimulation and long-term neural recording.
  Long-term implantable neural probes with dual-mode optical stimulation and simultaneous electrical recording are crucial for modulating neural loop activity in vivo. Traditional probes using "add-on" strategies often suffer from mechanical rigidity, compromise…
  pubmed Zhang L, Wang S, Xia J, Li B 等 2025 Sep 26 置信度 0.82