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• Motor-Related EEG Analysis Using a Pole Tracking Approach.
  This study introduces an alternative approach to electroencephalography (EEG) time-frequency analysis based on time-varying autoregressive (TV-AR) models in a cascade configuration to independently monitor key EEG spectral components. The method is evaluated f…
  pubmed Kostoglou K, Muller-Putz GR 2024 置信度 0.82
• FLUID: a fluorescence-friendly lipid-compatible ultrafast clearing method.
  Many clearing methods achieve high transparency by removing lipid components from tissues, which damages microstructure and limits their application in lipid research. As for methods which preserve lipid, it is difficult to balance transparency, fluorescence p…
  pubmed Wang Z, Xiao X, Zhou Z, Chen Y 等 2024 Oct 1 置信度 0.82
• REVEALS: an open-source multi-camera GUI for rodent behavior acquisition.
  Deciphering the rich repertoire of mouse behavior is crucial for understanding the functions of both the healthy and diseased brain. However, the current landscape lacks effective, affordable, and accessible methods for acquiring such data, especially when emp…
  pubmed Phadke RA, Wetzel AM, Fournier LA, Brack A 等 2024 Oct 3 置信度 0.82
• Alzheimer's disease and other memory disorders in the age of AI: reflection and perspectives on the 120th anniversary of the birth of Dr. John von Neumann.
  Two themes are coming to the forefront in this decade: Cognitive impairment of an aging population and the quantum leap in developing artificial intelligence (AI). Both can be described as growing exponentially and presenting serious challenges. Although many …
  pubmed Deak F 2025 Apr 置信度 0.82
• Brain and muscle derived features to discriminate simple hand motor tasks for a rehabilitative BCI: comparative study on healthy and post-stroke individuals.
  Objective. Brain-Computer Interfaces targeting post-stroke recovery of the upper limb employ mainly electroencephalography to decode movement-related brain activation. Recently hybrid systems including muscular activity were introduced. We compared the motor t…
  pubmed de Seta V, Colamarino E, Pichiorri F, Savina G 等 2024 Nov 28 置信度 0.82
• Investigating the synergistic neuromodulation effect of bilateral rTMS and VR brain-computer interfaces training in chronic stroke patients.
  Objective. Stroke is a major cause of adult disability worldwide, resulting in motor impairments. To regain motor function, patients undergo rehabilitation, typically involving repetitive movement training. For those who lack volitional movement, novel technol…
  pubmed Afonso M, Sánchez-Cuesta F, González-Zamorano Y, Pablo Romero J 等 2024 Oct 24 置信度 0.82
• Accurate neural control of a hand prosthesis by posture-related activity in the primate grasping circuit.
  Brain-computer interfaces (BCIs) have the potential to restore hand movement for people with paralysis, but current devices still lack the fine control required to interact with objects of daily living. Following our understanding of cortical activity during a…
  pubmed Agudelo-Toro A, Michaels JA, Sheng WA, Scherberger H 2024 Dec 18 置信度 0.82
• Research trends and hotspots of post-stroke upper limb dysfunction: a bibliometric and visualization analysis.
  The global prevalence of stroke has been increasing. Motor dysfunction is observed in approximately 55 to 75% of stroke patients, with upper limb impairment affecting around 85% of them. Following upper limb dysfunction, the body's recovery time is not only sl…
  pubmed Tang Q, Yang X, Sun M, He M 等 2024 置信度 0.82
• Impact of second-generation antipsychotics monotherapy or combined therapy in cytokine, lymphocyte subtype, and thyroid antibodies for schizophrenia: a retrospective study.
  Schizophrenia (SCZ) shares high clinical relevance with the immune system, and the potential interactions of psychopharmacological drugs with the immune system are still an overlooked area. Here, we aimed to identify whether the second-generation antipsychotic…
  pubmed Guo X, Kong L, Wen Y, Chen L 等 2024 Oct 16 置信度 0.82
• Closed-loop neural interfaces for pain: Where do we stand?
  Advances in closed-loop neural interfaces and neuromodulation have offered a potentially effective and non-addictive treatment for chronic pain. These interfaces link neural sensors with device outputs to provide temporally precise stimulation. We discuss chal…
  pubmed Wang J, Chen ZS 2024 Oct 15 置信度 0.82
• Partial awareness during voluntary endogenous decision.
  Despite our feeling of control over decisions, our ability to consciously access choices before execution remains debated. Recent research reveals prospective access to intention to act, allowing potential vetoes of impending decisions. However, whether the co…
  pubmed Rebouillat B, Barascud N, Kouider S 2024 Oct 置信度 0.82
• Brain Computer Interfaces: An Introduction for Clinical Neurodiagnostic Technologists.
  Brain-computer interface (BCI) is a term used to describe systems that translate biological information into commands that can control external devices such as computers, prosthetics, and other machinery. While BCI is used in military applications, home contro…
  pubmed Trott J, Slaymaker C, Niznik G, Althoff T 等 2025 Mar 置信度 0.82
• MASER: Enhancing EEG Spatial Resolution With State Space Modeling.
  Consumer-grade Electroencephalography (EEG) devices equipped with few electrodes often suffer from low spatial resolution, hindering the accurate capture of intricate brain activity patterns. To address this issue, we propose MASER, a novel super-resolution ap…
  pubmed Zhang Y, Yu Y, Li H, Wu A 等 2024 置信度 0.82
• Predictive modeling of sensory responses in deep brain stimulation.
  Although stimulation-induced sensations are typically considered undesirable side effects in clinical DBS therapy, there are emerging scenarios, such as computer-brain interface applications, where these sensations may be intentionally created. The selection o…
  pubmed Halász L, Sajonz BEA, Miklós G, van Elswijk G 等 2024 置信度 0.82
• Transforming Motor Imagery Analysis: A Novel EEG Classification Framework Using AtSiftNet Method.
  This paper presents an innovative approach for the Feature Extraction method using Self-Attention, incorporating various Feature Selection techniques known as the AtSiftNet method to enhance the classification performance of motor imaginary activities using el…
  pubmed Xu H, Haider W, Aziz MZ, Sun Y 等 2024 Oct 7 置信度 0.82
• The Development of a Multicommand Tactile Event-Related Potential-Based Brain-Computer Interface Utilizing a Low-Cost Wearable Vibrotactile Stimulator.
  A tactile event-related potential (ERP)-based brain-computer interface (BCI) system is an alternative for enhancing the control and communication abilities of quadriplegic patients with visual or auditory impairments. Hence, in this study, we proposed a tactil…
  pubmed Borirakarawin M, Siribunyaphat N, Aung ST, Punsawad Y 2024 Oct 1 置信度 0.82
• Brain Function, Learning, and Role of Feedback in Complete Paralysis.
  The determinants and driving forces of communication abilities in the locked-in state are poorly understood so far. Results from an experimental-clinical study on a completely paralyzed person involved in communication sessions after the implantation of a micr…
  pubmed Silvoni S, Occhigrossi C, Di Giorgi M, Lulé D 等 2024 Sep 30 置信度 0.82
• Motion Artifacts in Dynamic EEG Recordings: Experimental Observations, Electrical Modelling, and Design Considerations.
  Despite the progress in the development of innovative EEG acquisition systems, their use in dynamic applications is still limited by motion artifacts compromising the interpretation of the collected signals. Therefore, extensive research on the genesis of moti…
  pubmed Giangrande A, Botter A, Piitulainen H, Cerone GL 2024 Sep 30 置信度 0.82
• Neural Signature and Decoding of Unmanned Aerial Vehicle Operators in Emergency Scenarios Using Electroencephalography.
  Brain-computer interface (BCI) offers a novel means of communication and control for individuals with disabilities and can also enhance the interactions between humans and machines for the broader population. This paper explores the brain neural signatures of …
  pubmed Liu M, Liu Y, Feleke AG, Fei W 等 2024 Sep 29 置信度 0.82
• A Reconfigurable, Nonlinear, Low-Power, VCO-Based ADC for Neural Recording Applications.
  Neural recording systems play a crucial role in comprehending the intricacies of the brain and advancing treatments for neurological disorders. Within these systems, the analog-to-digital converter (ADC) serves as a fundamental component, converting the electr…
  pubmed Shokri R, Koolivand Y, Shoaei O, Caviglia DD 等 2024 Sep 24 置信度 0.82
• Assessing the influence of visual stimulus properties on steady-state visually evoked potentials and pupil diameter.
  Steady-State Visual Evoked Potentials (SSVEPs) are brain responses measurable via electroencephalography (EEG) in response to continuous visual stimulation at a constant frequency. SSVEPs have been instrumental in advancing our understanding of human vision an…
  pubmed Eisma YB, van Vliet ST, Nederveen AJ, de Winter JCF 2024 Oct 30 置信度 0.82
• Mobile brain-body imaging data set of indoor treadmill walking and outdoor walking with a visual search task.
  To fully understand brain processes in the real world, it is necessary to record and quantitatively analyse brain processes during real world human experiences. Mobile electroencephalography (EEG) and physiological data sensors provide new opportunities for st…
  pubmed Hanada GM, Kalabic M, Ferris DP 2024 Dec 置信度 0.82
• A hybrid capsule attention-based convolutional bi-GRU method for multi-class mental task classification based brain-computer Interface.
  Electroencephalography analysis is critical for brain computer interface research. The primary goal of brain-computer interface is to establish communication between impaired people and others via brain signals. The classification of multi-level mental activit…
  pubmed Deepika D, Rekha G 2025 Jan 置信度 0.82
• The role of Tim-3 blockade in the tumor immune microenvironment beyond T cells.
  Numerous preclinical studies have demonstrated the inhibitory function of T cell immunoglobulin mucin domain-containing protein 3 (Tim-3) on T cells as an inhibitory receptor, leading to the clinical development of anti-Tim-3 blocking antibodies. However, rece…
  pubmed Zhang J, Wang L, Guo H, Kong S 等 2024 Nov 置信度 0.82
• Analysis of brain network differences in the active, motor imagery, and passive stoke rehabilitation paradigms based on the task-state EEG.
  Different movement paradigms have varying effects on stroke rehabilitation, and their mechanisms of action on the brain are not fully understood. This study aims to investigate disparities in brain network and functional connectivity of three movement paradigm…
  pubmed Su H, Zhan G, Lin Y, Wang L 等 2025 Jan 1 置信度 0.82
• Sex-Differential Neural Circuits and Behavioral Responses for Empathy.
  pubmed Fan J, Wang X, Xu H 2025 Jan 置信度 0.82
• The effect of different visual feedback interfaces of music training games on speech rehabilitation in hearing-impaired children: An fNIRS study.
  Singing plays a critical role in enhancing musicality, sound discrimination, and attention, and proves advantageous for speech rehabilitation in children with hearing impairments. Computer-based training games are well-suited to the learning behaviors of child…
  pubmed Hao S, Wang Q, Zhang Y, Miao Y 等 2024 Nov 20 置信度 0.82
• Sirt6 Mono-ADP-Ribosylates YY1 to Promote Dystrophin Expression for Neuromuscular Transmission.
  The degeneration of the neuromuscular junction (NMJ) and the decline in motor function are common features of aging, but the underlying mechanisms have remained largely unclear. This study reveals that Sirt6 is reduced in aged mouse muscles. Ablation of Sirt6 …
  pubmed Zhang W, Bai L, Xu W, Liu J 等 2024 Nov 置信度 0.82
• An SCA-based classifier for motor imagery EEG classification.
  Efficient and accurate multi-class classification of electroencephalogram (EEG) signals poses a significant challenge in the development of motor imagery-based brain-computer interface (MI-BCI). Drawing inspiration from the sine cosine algorithm (SCA), a widel…
  pubmed Li Z, Meng M 2026 Mar 置信度 0.82
• Editorial: New approaches in Brain-Machine Interfaces with implants.
  pubmed Salari V, O'Connor R, Rodrigues S, Oblak D 2024 置信度 0.82
• Traumatic Brain Injury and Neuromodulation Techniques in Rehabilitation: A Scoping Review
  BACKGROUND AND OBJECTIVES: Traumatic Brain Injury (TBI) is a condition in which an external force, usually a violent blow to the head, causes functional impairment in the brain. Neuromodulation techniques are thought to restore altered function in the brain, r…
  openalex Andrea Calderone, Davide Cardile, Antonio Gangemi, Rosaria De Luca 等 2024-02-16 置信度 0.72 NeuromodulationTraumatic brain injuryRehabilitationTranscranial magnetic stimulationPhysical medicine and rehabilitation
• Augmented Recognition of Distracted Driving State Based on Electrophysiological Analysis of Brain Network
  In this study, we propose an electrophysiological analysis-based brain network method for the augmented recognition of different types of distractions during driving. Driver distractions, such as cognitive processing and visual disruptions during driving, lead…
  openalex Geqi Qi, Rui Liu, Wei Guan, Ailing Huang 2024-01-01 置信度 0.72 ElectrophysiologyDistracted drivingPsychologyComputer scienceNeuroscience
• Large-Scale Mechanistic Models of Brain Circuits with Biophysically and Morphologically Detailed Neurons
  Understanding the brain requires studying its multiscale interactions from molecules to networks. The increasing availability of large-scale datasets detailing brain circuit composition, connectivity, and activity is transforming neuroscience. However, integra…
  openalex Salvador Durá-Bernal, Beatriz Herrera, Carmen Alina Lupaşcu, Brianna Marsh 等 2024-10-02 置信度 0.72 NeuroscienceComputer scienceComputational neuroscienceConnectomeNeuroinformatics
• Unraveling motor imagery brain patterns using explainable artificial intelligence based on Shapley values
  BACKGROUND AND OBJECTIVE: Motor imagery (MI) based brain-computer interfaces (BCIs) are widely used in rehabilitation due to the close relationship that exists between MI and motor execution (ME). However, the underlying brain mechanisms of MI remain not well …
  openalex Sergio Pérez-Velasco, Diego Marcos-Martínez, Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal 等 2024-01-30 置信度 0.72 Computer scienceArtificial intelligenceMotor imageryMachine learningElectroencephalography
• Cortex-wide neural interfacing via transparent polymer skulls
  ABSTRACT Neural computations occurring simultaneously in multiple cerebral cortical regions are critical for mediating cognition, perception and sensorimotor behaviors. Enormous progress has been made in understanding how neural activity in specific cortical r…
  openalex Leila Ghanbari, Russell E. Carter, Matthew Rynes, Judith Dominguez 等 2018-08-07 置信度 0.72 NeuroscienceInterfacingCortex (anatomy)Visual cortexCalcium imaging
• Electroencephalography-based classification of Alzheimer’s disease spectrum during computer-based cognitive testing
  Alzheimer's disease (AD) is a progressive disease leading to cognitive decline, and to prevent it, researchers seek to diagnose mild cognitive impairment (MCI) early. Particularly, non-amnestic MCI (naMCI) is often mistaken for normal aging as the representati…
  openalex Seul Kee Kim, Hayom Kim, Sang Hee Kim, Jung Bin Kim 等 2024-03-04 置信度 0.72 CognitionCognitive declineElectroencephalographyEncoding (memory)Resting state fMRI
• Implantable Devices: Issues and Challenges
  Ageing population and a multitude of neurological and cardiovascular illnesses that cannot be mitigated by medication alone have resulted in a significant growth in the number of patients that require implantable electronic devices. These range from sensors, g…
  openalex Kateryna Bazaka, Mohan V. Jacob 2012-12-21 置信度 0.72 ElectronicsMedicineRisk analysis (engineering)PopulationPopulation ageing
• Nanorobots mediated drug delivery for brain cancer active targeting and controllable therapeutics
  Brain cancer pose significant life-threats by destructively invading normal brain tissues, causing dysneuria, disability and death, and its therapeutics is limited by underdosage and toxicity lying in conventional drug delivery that relied on passive delivery.…
  openalex Mengze Xu, Zhaoquan Qin, Zhichao Chen, Shichao Wang 等 2024-11-14 置信度 0.72 NanoroboticsBrain cancerDrug deliveryDrugTargeted drug delivery
• Cognitive Enhancement Through Direct Brain-Computer Interaction
  Artificial intelligence, neuroscience, and engineering advances have converged in recent years, resulting in significant growth of neural network technologies and brain-computer interfaces. We train on data well into the future, meaning that potential changes …
  openalex Shraddha N. Zanjat, Vishwajit K. Barbudhe, Bhavana S. Karmore 2025-06-06 置信度 0.72 CognitionComputer sciencePsychologyNeuroscience
• Single-Trial Detection and Classification of Event-Related Optical Signals for a Brain–Computer Interface Application
  Event-related optical signals (EROS) measure fast modulations in the brain's optical properties related to neuronal activity. EROS offer a high spatial and temporal resolution and can be used for brain-computer interface (BCI) applications. However, the abilit…
  openalex Nicole Chiou, Mehmet Günal, Oluwasanmi Koyejo, David Perpetuini 等 2024-08-01 置信度 0.72 Interface (matter)Brain–computer interfaceEvent (particle physics)Computer scienceReal-time computing
• Combining SNNs with filtering for efficient neural decoding in implantable brain-machine interfaces
  Abstract While it is important to make implantable brain-machine interfaces wireless to increase patient comfort and safety, the trend of increased channel count in recent neural probes poses a challenge due to the concomitant increase in the data rate. Extrac…
  openalex Biyan Zhou, Pao-Sheng Vincent Sun, Arindam Basu 2025-02-26 置信度 0.72 Decoding methodsBrain–computer interfaceComputer scienceNeural decodingSpeech recognition
• Brain Pioneers and Moral Entanglement: An Argument for Post‐trial Responsibilities in Neural‐Device Trials
  We argue that in implanted neurotechnology research, participants and researchers experience what Henry Richardson has called "moral entanglement." Participants partially entrust researchers with access to their brains and thus to information that would otherw…
  openalex Sara Goering, Andrew Ivan Brown, Eran Klein 2024-01-01 置信度 0.72 Argument (complex analysis)Vulnerability (computing)BeneficenceContext (archaeology)Quantum entanglement
• Flexible and Transparent Metal Oxide/Metal Grid Hybrid Interfaces for Electrophysiology and Optogenetics
  Abstract Flexible and transparent microelectrodes and interconnects provide the unique capability for a wide range of emerging biological applications, including simultaneous optical and electrical interrogation of biological systems. For practical biointerfac…
  openalex Zhiyuan Chen, Rose T. Yin, Sofian N. Obaid, Jinbi Tian 等 2020-06-03 置信度 0.72 Materials scienceMicroelectrodeIndium tin oxideOptogeneticsNanotechnology
• Brain-computer interface-based hand exoskeleton with bidirectional long short-term memory methods
  It takes at least 3 months to restore hand and arm function to 70% of its original value. This condition certainly reduces the quality of life for stroke survivors. The effectiveness in restoring the motor function of stroke survivors can be improved through r…
  openalex Osmalina Nur Rahma, Khusnul Ain, Alfian Pramudita Putra, Riries Rulaningtyas 等 2024-02-29 置信度 0.72 ExoskeletonRehabilitationBrain–computer interfaceStandard deviationComputer science
• Imaging of post-mortem human brain tissue using electron and X-ray microscopy
  Electron microscopy imaging of post-mortem human brain (PMHB) comes with a unique set of challenges due to numerous parameters beyond the researcher's control. Nevertheless, the wealth of information provided by the ultrastructural analysis of PMHB is proving …
  openalex Amanda J. Lewis, Christel Genoud, M. Pont, Wilma D. J. van de Berg 等 2019-07-23 置信度 0.72 CorrelativeElectron microscopeNeuroscienceMicroscopyHuman brain
• Cognitive Effort during Visuospatial Problem Solving in Physical Real World, on Computer Screen, and in Virtual Reality
  Spatial cognition plays a crucial role in academic achievement, particularly in science, technology, engineering, and mathematics (STEM) domains. Immersive virtual environments (VRs) have the growing potential to reduce cognitive load and improve spatial reaso…
  openalex Raimundo da Silva Soares, Kevin L. Ramirez-Chavez, Altona Tufanoglu, Candida Barreto 等 2024-02-02 置信度 0.72 CognitionTask (project management)Virtual realitySpatial abilityVisualization
• Nanomedicine in Neuroprotection, Neuroregeneration, and Blood–Brain Barrier Modulation: A Narrative Review
  Nanomedicine is a newer, promising approach to promote neuroprotection, neuroregeneration, and modulation of the blood-brain barrier. This review includes the integration of various nanomaterials in neurological disorders. In addition, gelatin-based hydrogels,…
  openalex Antea Kršek, Ana Jagodic, Lara Batičić 2024-08-24 置信度 0.72 NeuroregenerationNeuroprotectionNanomedicineNarrative reviewMedicine
• The Future of Nonhuman Primate Neuroscience: Peril or Possibilities?
  COVID-19 and polio vaccines, HIV/AIDS treatments, blood transfusions, and organ transplantation are just a few of the medical advances made possible by research involving nonhuman primates, specifically monkeys. In neuroscience, we have monkeys to thank for de…
  openalex Michele A. Basso, Aaron P. Batista, Steve W. C. Chang, Katalin M. Gothard 等 2024-09-11 置信度 0.72 Nonhuman primatePrimateNeuroscienceCognitive sciencePsychology
• Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study
  The Adolescent Brain Cognitive Development (ABCD) Study® has collected data from over 10,000 children across 21 sites, providing insights into adolescent brain development. However, site-specific scanner variability has made it challenging to use diffusion MRI…
  openalex Suheyla Cetin‐Karayumak, Fan Zhang, Ryan Zurrin, Tashrif Billah 等 2024-02-27 置信度 0.72 White matterDiffusion MRICognitionDiffusionPsychology
• A stochastic multi-agent approach for medical-image segmentation: Application to tumor segmentation in brain MR images
  openalex Mohamed Tahar Bennai, Zahia Guessoum, Smaine Mazouzi, Stéphane Cormier 等 2020-11-01 置信度 0.72 Computer scienceSegmentationArtificial intelligenceImage segmentationComputer vision
• More-than-Human Perspectives in Human-Computer Interaction Research: A Scoping Review
  More-than-human perspectives are gaining ground in human-computer interaction (HCI) research, but there is not yet any shared understanding in the community of what it entails. In this paper, we present the results from a scoping review on emerging more-than-h…
  openalex Eva Eriksson, Daisy Yoo, Tilde Bekker, Elisabet M. Nilsson 2024-09-30 置信度 0.72 Computer scienceHuman–computer interactionData science
• Advances in Neurorehabilitation: Strategies and Outcomes for Traumatic Brain Injury Recovery
  Traumatic brain injury (TBI) consists of an external physical force that causes brain function impairment or pathology and globally affects 50 million people each year, with a cost of 400 billion US dollars. Clinical presentation of TBI can occur in many forms…
  openalex Purvi Kaurani, Ana Vitoria Moreira de Marchi Apolaro, Keerthi Kunchala, Shriya Maini 等 2024-06-12 置信度 0.72 NeurorehabilitationTraumatic brain injuryPhysical medicine and rehabilitationMedicineAcquired brain injury
• Sensorimotor brain–computer interface performance depends on signal-to-noise ratio but not connectivity of the mu rhythm in a multiverse analysis of longitudinal data
  Abstract Objective. Serving as a channel for communication with locked-in patients or control of prostheses, sensorimotor brain–computer interfaces (BCIs) decode imaginary movements from the recorded activity of the user’s brain. However, many individuals rema…
  pubmed Nikolai Kapralov, Mina Jamshidi Idaji, Tilman Stephani, Alina Studenova 等 2024 Oct 8 置信度 0.82 Brain–computer interfaceComputer scienceSensorimotor rhythmRhythmElectroencephalography
• Brainwave Biometrics: A Secure and Scalable Brain–Computer Interface-Based Authentication System
  This study introduces a promising authentication framework utilizing brain–computer interface (BCI) technology to enhance both security protocols and user experience. A key strength of this approach lies in its reliance on objective, physiological signals—spec…
  openalex Mashael Aldayel, Nouf Alsedairy, Abeer Al-Nafjan 2025-08-28 置信度 0.72 BiometricsComputer scienceAuthentication (law)ScalabilityInterface (matter)
• A metamaterial unit-cell based patch radiator for brain-machine interface technology
  This paper presents a novel approach to the design of a brain implantable antenna tailored for brain-machine interface (BMI) technology. The design is based on a U-shaped unit-cell metamaterial (MTM), introducing innovative features to enhance performance and …
  openalex Emtiaz Ahmed Mainul, Md. Faruque Hossain 2024-03-01 置信度 0.72 MetamaterialInterface (matter)Unit (ring theory)Radiator (engine cooling)Brain–computer interface
• Microengineered neuronal networks: enhancing brain-machine interfaces
  The brain-machine interface (BMI), a crucial conduit between the human brain and computers, holds transformative potential for various applications in neuroscience. This manuscript explores the role of micro-engineered neuronal networks (MNNs) in advancing BMI…
  openalex Burhan Kantawala, Ali Emir Hamitoglu, Lea Nohra, Hassan Abdullahi Yusuf 等 2024-05-04 置信度 0.72 Context (archaeology)NeuroscienceTransformative learningNeuroprostheticsNeuroethics
• Evaluating segment anything model (SAM) on MRI scans of brain tumors
  Addressing the challenge of automatically segmenting anatomical structures from brain images has been a long-standing problem, attributed to subject- and image-based variations and constraints in available data annotations. The Segment Anything Model (SAM), de…
  openalex Luqman Ali, Fady Alnajjar, Muhammad Swavaf, Omar Elharrouss 等 2024-09-17 置信度 0.72 Computer scienceMedicineComputational biologyBiology
• A bioinspired tactile scanner for computer haptics
  Computer haptics (CH) is about integration of tactile sensation and rendering in Metaverse. However, unlike computer vision (CV) where both hardware infrastructure and software programs are well developed, a generic tactile data capturing device that serves th…
  openalex Huimin Li, Jianle Lin, Shuxin Lin, Haojie Zhong 等 2024-09-02 置信度 0.72 ScannerHaptic technologyComputer scienceHuman–computer interactionNeuroscience
• Nanoporous graphene-based thin-film microelectrodes for in vivo high-resolution neural recording and stimulation
  Abstract One of the critical factors determining the performance of neural interfaces is the electrode material used to establish electrical communication with the neural tissue, which needs to meet strict electrical, electrochemical, mechanical, biological an…
  openalex Damià Viana, Steven T. Walston, Eduard Masvidal‐Codina, Xavi Illa 等 2024-01-11 置信度 0.72 MicroelectrodeMaterials scienceMicrofabricationMultielectrode arrayNanoporous
• Comparing structure–function relationships in brain networks using EEG and fNIRS
  Identifying relationships between structural and functional networks is crucial for understanding the large-scale organization of the human brain. The potential contribution of emerging techniques like functional near-infrared spectroscopy to investigate the s…
  openalex Rosmary Blanco, Maria Giulia Preti, Cemal Koba, Dimitri Van De Ville 等 2024-11-22 置信度 0.72 ElectroencephalographyNeuroscienceBrain activity and meditationResting state fMRIFunctional near-infrared spectroscopy
• A brain machine interface framework for exploring proactive control of smart environments
  Brain machine interfaces (BMIs) can substantially improve the quality of life of elderly or disabled people. However, performing complex action sequences with a BMI system is onerous because it requires issuing commands sequentially. Fundamentally different fr…
  openalex Jan-Matthias Braun, Michael Fauth, Michael Berger, Nan-Sheng Huang 等 2024-05-14 置信度 0.72 Computer scienceBrain–computer interfaceTask (project management)Action (physics)Interface (matter)
• The Medical Segmentation Decathlon
  International challenges have become the de facto standard for comparative assessment of image analysis algorithms. Although segmentation is the most widely investigated medical image processing task, the various challenges have been organized to focus only on…
  openalex Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani 等 2022-07-15 置信度 0.72 Generalizability theorySegmentationComputer scienceTask (project management)Set (abstract data type)
• Does brain-computer interface-based mind reading threaten mental privacy? ethical reflections from interviews with Chinese experts
  BACKGROUND: The rapid development of brain-computer interface (BCI) technology has sparked profound debates about the right to privacy, particularly concerning its potential to enable mind reading. While scholars have proposed the establishment of neurorights …
  pubmed Fangxu Han, Haidan Chen, Han F, Chen H 2025 Oct 14 置信度 0.82 Philosophy of medicineReading (process)PsychologyEpistemologyNeuroethics
• Diagnostic biomarker discovery from brain EEG data using LSTM, reservoir-SNN, and NeuCube methods in a pilot study comparing epilepsy and migraine
  The study introduces a new online spike encoding algorithm for spiking neural networks (SNN) and suggests new methods for learning and identifying diagnostic biomarkers using three prominent deep learning neural network models: deep BiLSTM, reservoir SNN, and …
  openalex Samaneh Alsadat Saeedinia, Mohammad Reza Jahed‐Motlagh, Abbas Tafakhori, Nikola Kasabov 2024-05-09 置信度 0.72 EpilepsyElectroencephalographyMigraineComputer scienceBiomarker discovery
• Development of a brain–computer interface device converting brain signals to audio and written words
  crossref Dilber Uzun Ozsahin, Basil Bartholomew Duwa, Abdelrahman Himaid, Declan Ikechukwu Emegano 等 2024-01-21T07:35:57Z 置信度 0.70
• Intelligent Autonomous Driving Assistance System based on Brain-computer Interface
  Advancements in neurotechnology and signal processing have revolutionized Brain-Computer Interfaces (BCIs), enabling direct and functional connectivity between the human brain and computational systems. Particularly, Steady-State Visual Evoked Potentials (SSVE…
  crossref Yuankun Chen, Xiyu Shi, Varuna De-Silva 2024-05-14T17:27:34Z 置信度 0.70
• DBCIE: A Database for Brain-Computer Interface Using Electrophysiological Signal
  This paper presents a database for electrophys-iological signal, specifically the electroencephalogram (EEG). Primarily, the database is a repository of EEG data collected in our laboratory. The signals were collected in three different scenarios: left-arm (LA…
  crossref Rantu Buragohain, Karan Nathwani, Suresh R. Devasahayam, Vinayak Abrol 2024-08-22T17:48:13Z 置信度 0.70
• Image Segmentation-P300 Selector: A Brain–Computer Interface System for Target Selection
  Brain–computer interface (BCI) systems, such as the P300 speller, enable patients to express intentions without necessitating extensive training. However, the complexity of operational instructions and the slow pace of character spelling pose challenges for so…
  crossref Hang Sun, Changsheng Li, He Zhang 2024-05-06T08:56:15Z 置信度 0.70
• An Intracortical Wireless Bidirectional Brain-Computer Interface with High Data Density
  In this work, we introduce a compact, bidirectional, wireless intracortical Brain-Computer Interface (iBCI) system. The system incorporates various functionalities, including stimulation, high sampling rate (30 kS/s) recording, online spike detection and signa…
  crossref Linghui Kong, Zhiwei Zhang, Shan Yu, Jingna Mao 2024-07-02T17:22:52Z 置信度 0.70
• Challenges and Countermeasures of Brain Computer Interface Technology Based on Functional Near Infrared Spectroscopy for Aerospace Applications
  As a non-destructive optical brain imaging technology, functional near-infrared spectroscopy can be used to construct a brain computer interface (BCI) to identify the operator's limb control intention, and may be applied in future space missions. The principle…
  crossref Zhenyu Qiu, Xiaojun Tang, Shijin Wang, Yue Wang 2024-07-31T20:34:15Z 置信度 0.70
• Research on brain signal acquisition and transmission via noninvasive brain-computer interface
  Non-invasive brain-computer interface technology has become a research hotspot in the field of human-computer interaction with its characteristics of no surgery and safe reliability. This paper introduces the non-invasive brain signal acquisition and transmiss…
  crossref Weihao Luo, Shiyi Xiong, Yan Li, Pan Jiang 2025-03-03T18:01:32Z 置信度 0.70
• Mindset—A General Purpose Brain–Computer Interface System for End-Users
  Existing brain-computer interface (BCI) software platforms are typically designed for research purposes and offer limited usability for non-technical end-users. This paper presents the Mindset software application, which allows end-users to train and use a BCI…
  crossref Jason Leung, Tom Chau 2024-08-09T17:27:34Z 置信度 0.70
• The Effect of Preprocessing Steps on the Classification Accuracy of Brain-Computer Interface Systems
  crossref András Adolf, Csaba Márton Köllőd, Gergely Márton, Ward Fadel 等 2024-09-06T01:20:02Z 置信度 0.70
• A Novel Scrolling Text Reading Paradigm for Improving the Performance of Multiclass and Hybrid Brain Computer Interface Systems
  crossref Ebru Ergun, Önder Aydemir, Onur Erdem Korkmaz 2024-02-27T09:48:33Z 置信度 0.70
• Advancements in EEG-Based Brain-Computer Interface Integrations for Stroke Rehabilitation
  Stroke is a leading cause of long-term disability, hindering mobility and independence. Traditional rehabilitation methods may not fully address the diverse needs of stroke survivors, prompting the exploration of advanced technologies such as Brain-Computer In…
  crossref Zhengyu Zhuang 2024-11-25T22:57:32Z 置信度 0.70
• A Baseline Electroencephalography Motor Imagery Brain-Computer Interface System Using Artificial Intelligence and Deep Learning
  This paper presents a baseline or reference (single channel, single subject, single trial) electroencephalography (EEG) motor imagery (MI) brain computer interface (BCI) that harnesses deep learning artificial neural networks (ANNs) for brainwave signal classi…
  crossref Frank Edughom Ekpar 2024-07-03T17:00:44Z 置信度 0.70
• Channel-optimized Local Region Riemannian Approach for Motor Imagery Classification
  In this paper, we propose a novel motor imagery (MI) classification method that uses channel optimization within local region and Riemannian approach with filter bank to improve classification performance. The proposed method establishes local regions as chann…
  crossref Jinhyo Shin, Wonzoo Chung 2024-04-02T18:37:26Z 置信度 0.70
• Cover page
  crossref 2017-02-20T16:35:38Z 置信度 0.70
• Using an Electroencephalography Brain-Computer Interface for Monitoring Mental Workload During Flight Simulation
  Background: The objective of the present research was to investigate the potential of implementing electroencephalography (EEG) in a passive brain-computer interface for monitoring mental workload during virtual reality flight simulation.Most aviation accident…
  crossref Adam Fraser 2021-03-24T17:30:07Z 置信度 0.70
• Implementation and Assessment of the OpenBCI Platform as an Accessible Brain-Computer Interface
  OpenBCI is a low-cost, open-source platform for alternative brain-computer interface (BCI) software and hardware. This thesis evaluates OpenBCI’s electroencephalogram (EEG) and electromyography (EMG) capabilities by constructing and testing a 16-channel EEG sy…
  crossref Jewell Norris 2025-12-10T16:43:36Z 置信度 0.70
• Technical Program
  crossref 2020-04-10T04:23:57Z 置信度 0.70
• Can brain-computer interface promote affected upper limb movements of stroke patients?
  Brain-computer interface (BCI) systems enable the brain to control limb movement on the side with impaired nerve conduction, showing great potential for promoting functional recovery. Wang et al. 1 demonstrated that BCI combined with functional electrical stim…
  crossref Jixian Wang 2024-06-14T14:38:37Z 置信度 0.70
• From Electromyography to Brain-Computer Interface Controlled Prosthetic Hand in Rehabilitation Therapy
  The embedding of the brain-computer interface with the electromyography technique represents a significant advancement in rehabilitation therapy, particularly for individuals with motor impairments. This study performed the transition from conventional electro…
  crossref Constantin-Daniel Ailenei, Oana Geman, Dragoș-Ionuț Vicoveanu, Roxana Todercan 2024-12-26T19:06:11Z 置信度 0.70
• Deciphering EEG Waves for the Generation of Images
  Research on electroencephalography (EEG) waves has been a crucial topic in the development of BCI technology and neurolinguistics. EEG waves have found been to not only study neuronal activities but also explore human cognitive activities, in diagnoses of neur…
  crossref Gaurav Mahajan, R Jeevan, L Divija, P. Deekshitha Kumari 等 2024-04-02T18:37:26Z 置信度 0.70
• Prediction of Motor-Imagery-BCI performance using Median Nerve Stimulation
  Motor Imagery-based Brain-Computer Interfaces (MI-BCIs) have grown significantly in recent years and have successfully overcome several challenges in rehabilitation, control, communication, artistic creation, etc. However, not everyone can use MI-BCI, and ther…
  crossref Sébastien Rimbert, Valérie Marissens Cueva, Laurent Bougrain, Fabien Lotte 2024-04-02T18:37:26Z 置信度 0.70
• Mind over Machine: Ethical Dilemmas in Brain–computer Interface Technology
  Since the beginning of human history, there have been efforts and means to influence humans. Advances in technology continue to blur the border between humans and machines as the fiction of “mind control” gradually comes closer to reality. In this effort, elec…
  crossref Luis Rafael Moscote-Salazar, Aneesh Nelivigi, Tariq Janjua, Amit Agrawal 2026-04-26T11:00:55Z 置信度 0.70
• Cerebral palsy-affected individuals' brain-computer interface for wheelchair movement in an indoor environment using mental tasks
  The technique of measuring brain signals or activities by placing electrodes on the scalp of human beings is called Electroencephalogram (EEG). Brain-computer interface (BCI) is a technique to capture brain signals and translate them into control signals to ru…
  crossref Jayabrabu Ramakrishnan 2024-04-21T00:38:44Z 置信度 0.70
• Brain Computer Interface Based on Amplitude Modulation of Alpha Wave during Performing Cognitive Tasks
  Brain-computer interface (BCI) is a technology that connects the brain to computers, enhancing human abilities and assisting in various activities. The current mainstream of BCI research includes stimulus-evoked BCIs and motor-imagery BCIs. However, the former…
  crossref Kaito Yamami, Shota Nakashima, Seiji Nishifuji 2025-01-10T19:47:28Z 置信度 0.70
• AI based Assistive Communication System for Multiple Sclerosis and Paralysed Patient
  The paper describes communication way between Multiple sclerosis's (MS) patient with Brain Computer Interface (BCI). In MS patient immunity system attacks the protective sheath that causes communication problems between Brain and Body. Multiple sclerosis's (MS…
  crossref Lakshmaiah Alluri, Hemant Jeevan Magadum 2025-02-19T18:39:08Z 置信度 0.70
• Nonlinear difference subspace method of motor imagery EEG classification in brain-computer interface
  Noninvasive Motor Imagery (MI) electroencephalography (EEG) based brain-computer interface (BCI) systems are in high demand in both the medical and consumer sectors. However, the low signal-to-noise ratio of EEG and its nonlinear dynamics present challenges in…
  crossref C Sivananda Reddy, M Ramasubba Reddy 2024-08-06T06:54:59Z 置信度 0.70
• Decoding an intuitive brain-computer interface combining speech and visual imagery using dual-branch network
  As a new form of human-computer interaction, brain-computer interface (BCI) has been widely studied. However, most traditional BCI paradigms still face issues such as high cognitive load and easy fatigue. In recent years, intuitive BCI paradigms such as speech…
  crossref Kunqing Wang, Ming Zhang, Hui Shen 2024-09-27T16:19:50Z 置信度 0.70
• Brain-computer Interface Treatment for Attention Deficit Hyperactivity Disorder
  Attention Deficit Hyperactive Disorder (ADHD) is a neurodevelopmental disorder characterized by inability to concentrate for a long time, hyperactivity and emotional impulsivity. It usually develops in childhood. The pathogenesis is unclear. Brain Computer Int…
  crossref Shi Liu 2024-12-31T20:46:05Z 置信度 0.70
• Application of brain-computer interface in the treatment of amyotrophic lateral sclerosis
  Amyotrophic lateral sclerosis (ALS), also known as Lou Gehrig's disease and gradual freezing disease, is a rare disease. At present, it mainly relies on drug therapy and supportive therapy, but the therapeutic effect is not significant. With the progress of me…
  crossref Hongyan Liu 2024-12-06T04:24:56Z 置信度 0.70
• Implementation of Artificial Intelligence on Brain-Computer Interface: Review.
  Brain-computer interface technology (BCIs) has established a potential pathway for direct two-way communication between humans and computers. In recent years, with the help of Artificial Intelligence (AI) in advancing the analysis of neural activity and the de…
  crossref Lu Liu 2026-01-25T01:10:01Z 置信度 0.70
• Revolutionizing Human Augmentation: The Future of Neuroprosthetics and Brain-Computer Interface Technologies
  The future of neuroprosthesis and brain-computer interface (BCI) technologies is poised to transform medical treatments, cognitive development, and human-machine interaction. Neuroprosthetics, which integrate artificial devices with the nervous system to resto…
  crossref Buse Liv 2024-10-05T11:19:57Z 置信度 0.70
• Brain-computer Interface Treatment for Attention Deficit Hyperactivity Disorder.
  Attention Deficit Hyperactive Disorder (ADHD) is a neurodevelopmental disorder characterized by inability to concentrate for a long time, hyperactivity and emotional impulsivity. It usually develops in childhood. The pathogenesis is unclear. Brain Computer Int…
  crossref Shi Liu 2026-01-25T00:46:43Z 置信度 0.70
• A Robot-Administered ICU Confusion Assessment with Brain-Computer Interface Control
  Evaluation of patient delirium in hospital Intensive Care Units (ICU) is a crucial and challenging task, with conventional assessments like CAM-ICU relying largely on verbal and physical communication, making it difficult for patients with limited physical abi…
  crossref Ajay Joshi, Lynne Baillie, Carl Bettosi 2024-03-10T22:55:43Z 置信度 0.70
• A Portable and Plug-and-Play Attention Recognition Brain–Computer Interface System Using Convolutional Domain Adaptive Capsule Network
  crossref Qian Wu, Yongjian Chen, Lina Qiu, Jiahui Pan 2024-06-18T16:19:34Z 置信度 0.70
• Bibliometric Analysis of China’s Non-Therapeutic Brain-Computer Interface Research
  China’s brain-computer interface research has two dimensions. Besides its usual applications in neuropathology, China is extending the benefits of BCI to the general population, aiming at enhanced cognition and a “merger” of natural and artificial intelligence…
  crossref William Hannas, Huey-Meei Chang, Rishika Chauhan, Daniel Chou 等 2026-06-09T04:16:35Z 置信度 0.70
• Implementation of Artificial Intelligence on Brain-Computer Interface: Review
  Brain-computer interface technology (BCIs) has established a potential pathway for direct two-way communication between humans and computers. In recent years, with the help of Artificial Intelligence (AI) in advancing the analysis of neural activity and the de…
  crossref Lu Liu 2024-12-31T21:32:09Z 置信度 0.70