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• CAT: a computational anatomy toolbox for the analysis of structural MRI data
  A large range of sophisticated brain image analysis tools have been developed by the neuroscience community, greatly advancing the field of human brain mapping. Here we introduce the Computational Anatomy Toolbox (CAT)-a powerful suite of tools for brain morph…
  openalex Christian Gaser, Robert Dahnke, Paul M. Thompson, Florian Kurth 等 2024-01-01 置信度 0.72 ToolboxComputer scienceData scienceArtificial intelligenceAnatomy
• Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2024
  The National Genomics Data Center (NGDC), which is a part of the China National Center for Bioinformation (CNCB), provides a family of database resources to support the global academic and industrial communities. With the rapid accumulation of multi-omics data…
  openalex CNCB-NGDC Members and Partners, Xue Bai, Yīmíng Bào, Shaoqi Bei 等 2023-10-27 置信度 0.72 BiologyInteroperabilityDatabaseData centerGenomics
• Noninvasive closed-loop acoustic brain-computer interface for seizure control
  Rationale: The brain-computer interface (BCI) is core tasks in comprehensively understanding the brain, and is one of the most significant challenges in neuroscience. The development of novel non-invasive neuromodulation technique will drive major innovations …
  pubmed Junjie Zou, Houminji Chen, Xiaoyan Chen, Zhengrong Lin 等 2024 置信度 0.82 Brain–computer interfaceClosed loopInterface (matter)EpilepsyLoop (graph theory)
• A Bone-Seeking Clone Exhibits Different Biological Properties from the MDA-MB-231 Parental Human Breast Cancer Cells and a Brain-Seeking Clone In Vivo and In Vitro
  Breast cancer has a predilection for spreading to bone. The mechanism of preferential metastasis of breast cancer to bone is unknown. We hypothesize that breast cancer cells that develop bone metastases have the capacity to facilitate their colonization in bon…
  openalex Toshiyuki Yoneda, Paul J. Williams, Toru Hiraga, Maria Niewolna 等 2001-08-01 置信度 0.72 clone (Java method)In vivoIn vitroBreast cancerBiology
• Continuous tracking using deep learning-based decoding for noninvasive brain–computer interface
  Brain-computer interfaces (BCI) using electroencephalography provide a noninvasive method for users to interact with external devices without the need for muscle activation. While noninvasive BCIs have the potential to improve the quality of lives of healthy a…
  openalex Dylan Forenzo, Hao Zhu, J.G. Shanahan, Jaehyun Lim 等 2024-03-28 置信度 0.72 Brain–computer interfaceComputer scienceTask (project management)Interface (matter)Decoding methods
• The future of transcranial ultrasound as a precision brain interface
  Our understanding of brain circuit operations and disorders has rapidly outpaced our ability to intervene and restore them. Developing technologies that can precisely interface with any brain region and circuit may combine diagnostics with therapeutic interven…
  openalex Keith E. Murphy, Elsa Fouragnan 2024-10-29 置信度 0.72 NeuromodulationNeuroscienceBrain–computer interfaceBrain stimulationExpediting
• Wearable EEG-Based Brain–Computer Interface for Stress Monitoring
  Detecting stress is important for improving human health and potential, because moderate levels of stress may motivate people towards better performance at cognitive tasks, while chronic stress exposure causes impaired performance and health risks. We propose …
  pubmed Brian Premchand, Liyuan Liang, Kok Soon Phua, Zhuo Zhang 等 2024 Dec 置信度 0.82 Brain–computer interfaceWearable computerElectroencephalographyHuman–computer interactionComputer science
• Visual tracking brain-computer interface
  Brain-computer interfaces (BCIs) offer a way to interact with computers without relying on physical movements. Non-invasive electroencephalography-based visual BCIs, known for efficient speed and calibration ease, face limitations in continuous tasks due to di…
  openalex Chang–Xing Huang, Nanlin Shi, Yining Miao, Xiaogang Chen 等 2024-03-01 置信度 0.72 Brain–computer interfaceComputer scienceInformation transferElectroencephalographyStimulus (psychology)
• Neural Network Based Brain Tumor Detection Using Wireless Infrared Imaging Sensor
  Now-a-days image processing placed an important role for recognizing various diseases such as breast, lung, and brain tumors in earlier stage for giving the appropriate treatment. Presently, most cancer diagnosis worked according to the visual examination proc…
  openalex P. Mohamed Shakeel, Tarek El. Tobely, Haytham Al-Feel, Gunasekaran Manogaran 等 2019-01-01 置信度 0.72 Computer scienceArtificial intelligenceProcess (computing)Computer visionArtificial neural network
• Brain clearance is reduced during sleep and anesthesia
  It has been suggested that the function of sleep is to actively clear metabolites and toxins from the brain. Enhanced clearance is also said to occur during anesthesia. Here, we measure clearance and movement of fluorescent molecules in the brains of male mice…
  openalex Andawei Miao, Tianyuan Luo, Bryan Hsieh, Christopher J. Edge 等 2024-05-13 置信度 0.72 Sleep (system call)AnesthesiaNeuroscienceAnestheticMedicine
• Channel reflection: Knowledge-driven data augmentation for EEG-based brain–computer interfaces
  openalex Ziwei Wang, Siyang Li, Jingwei Luo, Jiajing Liu 等 2024-04-29 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyReflection (computer programming)Channel (broadcasting)
• 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  Humanoid robots have potential applications across diverse sectors, including education, healthcare, and customer service. This paper presents a project on designing and building a low-cost humanoid robot equipped with a flex sensor- based movement mechanism, …
  openalex Al Omoush, Muhammad H., Kishore, Sameer, Mehigan, Tracey 2024-01-01 置信度 0.72 Computer scienceRobotArtificial intelligence
• Advances in brain-computer interface for decoding speech imagery from EEG signals: a systematic review
  Numerous individuals encounter challenges in verbal communication due to various factors, including physical disabilities, neurological disorders, and strokes. In response to this pressing need, technology has actively pursued solutions to bridge the communica…
  pubmed Nimra Rahman, Danish M. Khan, Komal Masroor, Mehak Arshad 等 2024 Dec 置信度 0.82 Decoding methodsBrain–computer interfaceComputer scienceElectroencephalographyInterface (matter)
• Biomimetic computer-to-brain communication enhancing naturalistic touch sensations via peripheral nerve stimulation
  Artificial communication with the brain through peripheral nerve stimulation shows promising results in individuals with sensorimotor deficits. However, these efforts lack an intuitive and natural sensory experience. In this study, we design and test a biomime…
  openalex Giacomo Valle, Natalija Katic, Dominic Eggemann, Oleg Gorskii 等 2024-02-20 置信度 0.72 NeurostimulationNeuroscienceNeuromodulationSensory systemMultisensory integration
• Neuralink and Brain–Computer Interface—Exciting Times for Artificial Intelligence
  Purvish Mahendra ParikhBrain-computer interfaces are becoming a tangible reality, capable of significantly aiding patients in real-world scenarios. The recent approval by the U.S. Food and Drug Administration for clinical human trials of Neuralink marks a monu…
  openalex Purvish M. Parikh, Ajit Venniyoor 2024-01-01 置信度 0.72 MedicineBrain–computer interfaceFood and drug administrationSTRIDEInterface (matter)
• A review of ethical considerations for the medical applications of brain-computer interfaces
  The development and potential applications of brain-computer interfaces (BCIs) are directly related to the human brain and may have adverse effects on the users' physical and mental health. Ethical issues, particularly those associated with BCIs, including bot…
  pubmed Zhe Zhang, Yanxiao Chen, Xu Zhao, Fan Wang 等 2024 Dec 置信度 0.82 Computer scienceData scienceHuman–computer interactionEngineering ethicsCognitive science
• The brain nebula: minimally invasive brain–computer interface by endovascular neural recording and stimulation
  A brain-computer interface (BCI) serves as a direct communication channel between brain activity and external devices, typically a computer or robotic limb. Advances in technology have led to the increasing use of intracranial electrical recording or stimulati…
  openalex Qiheng He, Yi Yang, Peicong Ge, Sining Li 等 2024-02-22 置信度 0.72 Brain–computer interfaceMedicineEpilepsyBrain stimulationLocked-in syndrome
• Fully implantable wireless brain-computer interface for humans: Advancing toward the future
  On January 29, 2024, Elon Musk made a public announcement via social media about the successful implantation of a Neuralink device in humans. Shortly after, a collaborative team from Xuanwu Hospital and Tsinghua University in China revealed the advancements in…
  openalex Zhiting Zhang, Ji Dai 2024-02-27 置信度 0.72 Brain–computer interfaceEnthusiasmInterface (matter)WirelessBluetooth
• Brain imaging with portable low-field MRI
  openalex W. Taylor Kimberly, Annabel Sorby‐Adams, Andrew Webb, EX Wu 等 2023-07-17 置信度 0.72 NeuroimagingComputer scienceArtificial intelligenceMagnetic resonance imagingField (mathematics)
• Fate of Leptin after Intracerebroventricular Injection into the Mouse Brain
  The fate of the metabolic regulatory protein leptin was studied after intracerebroventricular (i.c.v.) administration into the lateral ventricle of the brain. In the brain, a mean of 72% of the recovered radioiodinated leptin was intact. Efflux from the brain …
  openalex Lawrence M. Maness, Abba J. Kastin, Catherine L. Farrell, William A. Banks 1998-11-01 置信度 0.72 LeptinEndocrinologyInternal medicineCerebrospinal fluidChoroid plexus
• Optogenetic Brain–Computer Interfaces
  The brain-computer interface (BCI) is one of the most powerful tools in neuroscience and generally includes a recording system, a processor system, and a stimulation system. Optogenetics has the advantages of bidirectional regulation, high spatiotemporal resol…
  openalex Feifang Tang, Feiyang Yan, Yushan Zhong, Jinqian Li 等 2024-08-12 置信度 0.72 OptogeneticsBrain–computer interfaceComputer scienceInterface (matter)Neuroprosthetics
• Electroencephalography-Based Brain-Computer Interfaces in Rehabilitation: A Bibliometric Analysis (2013–2023)
  EEG-based Brain-Computer Interfaces (BCIs) have gained significant attention in rehabilitation due to their non-invasive, accessible ability to capture brain activity and restore neurological functions in patients with conditions such as stroke and spinal cord…
  pubmed Ana Medina, Maria Isabel Aguilar Bonilla, Ingrid Daniela Rodríguez Giraldo, John Fernando Montenegro Palacios 等 2024 Nov 6 置信度 0.82 Brain–computer interfaceElectroencephalographyRehabilitationComputer scienceAdaptability
• Applying the IEEE BRAIN neuroethics framework to intra-cortical brain-computer interfaces
  Abstract Objective. Brain-computer interfaces (BCIs) are neuroprosthetic devices that allow for direct interaction between brains and machines. These types of neurotechnologies have recently experienced a strong drive in research and development, given, in par…
  openalex Joana Soldado-Magraner, Alberto Antonietti, Jennifer French, Nathan Higgins 等 2024-03-27 置信度 0.72 NeuroethicsBrain–computer interfaceModalitiesHuman–computer interactionSet (abstract data type)
• Data Constraints and Performance Optimization for Transformer-Based Models in EEG-Based Brain-Computer Interfaces: A Survey
  This work reviews the critical challenge of data scarcity in developing Transformer-based models for Electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs), specifically focusing on Motor Imagery (MI) decoding. While EEG-BCIs hold immense promise …
  openalex Aigerim Keutayeva, Berdakh Abibullaev 2024-01-01 置信度 0.72 Computer scienceScarcityBrain–computer interfaceElectroencephalographyGeneralizability theory
• Modality-Independent Decoding of Semantic Information from the Human Brain
  An ability to decode semantic information from fMRI spatial patterns has been demonstrated in previous studies mostly for 1 specific input modality. In this study, we aimed to decode semantic category independent of the modality in which an object was presente…
  openalex Irina Simanova, Peter Hagoort, Robert Oostenveld, Marcel van Gerven 2012-10-12 置信度 0.72 CategorizationAmodal perceptionModality (human–computer interaction)Stimulus (psychology)Voxel
• A generic noninvasive neuromotor interface for human-computer interaction
  Abstract Since the advent of computing, humans have sought computer input technologies that are expressive, intuitive, and universal. While diverse modalities have been developed, including keyboards, mice, and touchscreens, they require interaction with an in…
  preprints CTRL-labs at Reality Labs, David Sussillo, Patrick Kaifosh, Thomas R. Reardon 2024 置信度 0.74 Computer scienceBrain–computer interfaceGestureInterface (matter)Human–computer interaction
• Ultraflexible endovascular probes for brain recording through micrometer-scale vasculature
  Implantable neuroelectronic interfaces have enabled advances in both fundamental research and treatment of neurological diseases but traditional intracranial depth electrodes require invasive surgery to place and can disrupt neural networks during implantation…
  openalex Anqi Zhang, Emiri T. Mandeville, Lijun Xu, Creed M. Stary 等 2023-07-20 置信度 0.72 Olfactory bulbNeuroscienceBiomedical engineeringMicrometerBrain implant
• Considerations and discussions on the clear definition and definite scope of brain-computer interfaces
  Brain-computer interface (BCI) is a revolutionizing human-computer interaction with potential applications in both medical and non-medical fields, emerging as a cutting-edge and trending research direction. Increasing numbers of groups are engaging in BCI rese…
  openalex Yanxiao Chen, Fan Wang, Tianwen Li, Lei Zhao 等 2024-08-05 置信度 0.72 Brain–computer interfaceViewpointsComputer scienceScope (computer science)Interface (matter)
• Brain–Computer Interface and Neurofeedback Technologies: Current State, Problems and Clinical Prospects (Review)
  Brain-computer interface and neurofeedback technologies are unique techniques to modulate brain activity based on an operant conditioning. From the time these technologies appeared in the 60-ies of the XX c., they have become non-drug tools for numerous psychi…
  openalex А. И. Федотчев, С. Б. Парин, S. A. Polevaya, S. Velikova 2017-03-01 置信度 0.72 Brain–computer interfaceNeurofeedbackCurrent (fluid)Interface (matter)State (computer science)
• Measuring neuronal avalanches to inform brain-computer interfaces
  Large-scale interactions among multiple brain regions manifest as bursts of activations called neuronal avalanches, which reconfigure according to the task at hand and, hence, might constitute natural candidates to design brain-computer interfaces (BCIs). To t…
  openalex Marie‐Constance Corsi, Pierpaolo Sorrentino, Denis Schwartz, Nathalie George 等 2023-12-14 置信度 0.72 Brain–computer interfaceTask (project management)ElectroencephalographyComputer scienceBrain activity and meditation
• Brain-inspired computing with fluidic iontronic nanochannels
  The brain's remarkable and efficient information processing capability is driving research into brain-inspired (neuromorphic) computing paradigms. Artificial aqueous ion channels are emerging as an exciting platform for neuromorphic computing, representing a d…
  openalex T. M. Kamsma, Jaehyun Kim, Kyungjun Kim, Willem Q. Boon 等 2024-04-24 置信度 0.72 FluidicsComputer scienceNanotechnologyMaterials scienceEngineering
• Cortex-wide neural interfacing via transparent polymer skulls
  Abstract Neural computations occurring simultaneously in multiple cerebral cortical regions are critical for mediating behaviors. Progress has been made in understanding how neural activity in specific cortical regions contributes to behavior. However, there i…
  openalex Leila Ghanbari, Russell E. Carter, Mathew L. Rynes, Judith Dominguez 等 2019-04-02 置信度 0.72 InterfacingCortex (anatomy)NeuroscienceCalcium imagingVisual cortex
• Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024
  The rapid advancement of artificial intelligence (AI) has significantly impacted various aspects of healthcare, particularly in the medical imaging field. This review focuses on recent developments in the application of deep learning (DL) techniques to breast …
  openalex Alessandro Carriero, Léon Groenhoff, Elizaveta Vologina, Paola Basile 等 2024-04-19 置信度 0.72 InterpretabilityBreast cancerWorkflowMammographyMedical imaging
• Human-centred physical neuromorphics with visual brain-computer interfaces
  Steady-state visual evoked potentials (SSVEPs) are widely used for brain-computer interfaces (BCIs) as they provide a stable and efficient means to connect the computer to the brain with a simple flickering light. Previous studies focused on low-density freque…
  openalex Gao Wang, Giulia Marcucci, Benjamin Peters, Maria Chiara Braidotti 等 2024-07-29 置信度 0.72 Computer scienceENCODEMultiplexingBrain–computer interfaceFlicker
• The effect of brain-computer interface controlled functional electrical stimulation training on rehabilitation of upper limb after stroke: a systematic review and meta-analysis
  Introduction Several clinical studies have demonstrated that brain-computer interfaces (BCIs) controlled functional electrical stimulation (FES) facilitate neurological recovery in patients with stroke. This review aims to evaluate the effectiveness of BCI-FES…
  pubmed Chunlin Ren, X. Li, Qian Gao, Mengyang Pan 等 2024 置信度 0.82 Functional electrical stimulationMeta-analysisCochrane LibraryMedicineRandomized controlled trial
• Multimodal Interaction, Interfaces, and Communication: A Survey
  Multimodal interaction is a transformative human-computer interaction (HCI) approach that allows users to interact with systems through various communication channels such as speech, gesture, touch, and gaze. With advancements in sensor technology and machine …
  openalex Ηλίας Δρίτσας, Μαρία Τρίγκα, Christos Troussas, Phivos Mylonas 2025-01-14 置信度 0.72 Human–computer interactionComputer scienceMultimodal interaction
• Media Representation of the Ethical Issues Pertaining to Brain–Computer Interface (BCI) Technology
  BACKGROUND/OBJECTIVES: Brain-computer interfaces (BCIs) are a rapidly developing technology that captures and transmits brain signals to external sources, allowing the user control of devices such as prosthetics. BCI technology offers the potential to restore …
  pubmed Savannah Beck, Yuliya Liberman, Veljko Dubljević, Beck S 等 2024 Dec 14 置信度 0.82 Brain–computer interfaceDistrustNeuroethicsAutonomyTone (literature)
• Brain-on-a-chip: an emerging platform for studying the nanotechnology-biology interface for neurodegenerative disorders
  Neurological disorders have for a long time been a global challenge dismissed by drug companies, especially due to the low efficiency of most therapeutic compounds to cross the brain capillary wall, that forms the blood-brain barrier (BBB) and reach the brain.…
  openalex Raquel O. Rodrigues, Su-Ryon Shin, Manuel Bañobre‐López 2024-09-18 置信度 0.72 NanotechnologyInterface (matter)NeuroscienceEngineeringMaterials science
• A review on brain tumor segmentation based on deep learning methods with federated learning techniques
  Brain tumors have become a severe medical complication in recent years due to their high fatality rate. Radiologists segment the tumor manually, which is time-consuming, error-prone, and expensive. In recent years, automated segmentation based on deep learning…
  openalex Md. Faysal Ahamed, Md. Munawar Hossain, Md. Nahiduzzaman, Md. Rabiul Islam 等 2023-11-24 置信度 0.72 SegmentationComputer scienceDeep learningArtificial intelligenceMachine learning
• The Promise and Potential of Brain Organoids
  Brain organoids are 3D in vitro culture systems derived from human pluripotent stem cells that self-organize to model features of the (developing) human brain. This review examines the techniques behind organoid generation, their current and potential applicat…
  openalex Lena Smirnova, Thomas Härtung 2024-01-22 置信度 0.72 OrganoidNeuroscienceNanotechnologyComputer scienceComputational biology
• Impact of Virtual Reality on Brain–Computer Interface Performance in IoT Control—Review of Current State of Knowledge
  This article examines state-of-the-art research into the impact of virtual reality (VR) on brain–computer interface (BCI) performance: how the use of virtual reality can affect brain activity and neural plasticity in ways that can improve the performance of br…
  openalex Adrianna Piszcz, Izabela Rojek, Dariusz Mikołajewski 2024-11-15 置信度 0.72 Current (fluid)Computer scienceBrain–computer interfaceVirtual realityState (computer science)
• The state-of-the-art of invasive brain-computer interfaces in humans: a systematic review and individual patient meta-analysis
  Abstract Objective. Invasive brain-computer interfaces (iBCIs) have evolved significantly since the first neurotrophic electrode was implanted in a human subject three decades ago. Since then, both hardware and software advances have increased the iBCI perform…
  pubmed Mervyn Jun Rui Lim, Yu Tung Lo, Yong Yi Tan, Hong-Yi Lin 等 2025 Mar 12 置信度 0.82 Computer scienceMeta-analysisHuman–computer interactionPsychologyCognitive psychology
• The evolution of brain architectures for predictive coding and active inference
  Abstract This article considers the evolution of brain architectures for predictive processing. We argue that brain mechanisms for predictive perception and action are not late evolutionary additions of advanced creatures like us. Rather, they emerged graduall…
  openalex Giovanni Pezzulo, Thomas Parr, Karl Friston 2021-12-27 置信度 0.72 InferencePredictive codingComputer scienceCoding (social sciences)Artificial intelligence
• Covert visual spatial attention : a robust paradigm for brain-computer interfacing
  openalex Ali Bahramisharif 2012-01-01 置信度 0.72 InterfacingCovertComputer scienceHuman–computer interactionCognitive psychology
• Enhancing biocompatibility of the brain-machine interface: A review
  In vivo implantation of microelectrodes opens the door to studying neural circuits and restoring damaged neural pathways through direct electrical stimulation and recording. Although some neuroprostheses have achieved clinical success, electrode material prope…
  openalex Jordan Villa, Joaquín Cury, Lexie Kessler, Xiaodong Tan 等 2024-09-11 置信度 0.72 MicroelectrodeNeuroprostheticsBrain–computer interfaceBiocompatibilityMaterials science
• Adaptive LDA Classifier Enhances Real-Time Control of an EEG Brain–Computer Interface for Decoding Imagined Syllables
  Brain-Computer Interfaces (BCIs) aim to establish a pathway between the brain and an external device without the involvement of the motor system, relying exclusively on neural signals. Such systems have the potential to provide a means of communication for pat…
  openalex Shizhe Wu, Kinkini Bhadra, Anne‐Lise Giraud, Silvia Marchesotti 2024-02-21 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyLinear discriminant analysisClassifier (UML)
• ChatGPT: perspectives from human–computer interaction and psychology
  The release of GPT-4 has garnered widespread attention across various fields, signaling the impending widespread adoption and application of Large Language Models (LLMs). However, previous research has predominantly focused on the technical principles of ChatG…
  openalex Jiaxi Liu 2024-06-18 置信度 0.72 EmpathyInterpersonal communicationProcess (computing)Human development (humanity)Computer science
• Review of deep representation learning techniques for brain–computer interfaces
  Abstract In the field of brain–computer interfaces (BCIs), the potential for leveraging deep learning techniques for representing electroencephalogram (EEG) signals has gained substantial interest. Objective : This review synthesizes empirical findings from a …
  pubmed Pierre Guetschel, Sara Ahmadi, Michael Tangermann, Guetschel P 等 2024 Nov 1 置信度 0.82 Computer scienceArtificial intelligenceRobustness (evolution)Deep learningBrain–computer interface
• Pioneering discovery and therapeutics at the brain-vascular-immune interface
  openalex Katerina Akassoglou, Dimitrios Davalos, Andrew S. Mendiola, Mark A. Petersen 等 2024-10-01 置信度 0.72 BiologyImmune systemNeuroscienceDrug discoveryComputational biology
• Exploring Feature Selection and Classification Techniques to Improve the Performance of an Electroencephalography-Based Motor Imagery Brain–Computer Interface System
  The accuracy of classifying motor imagery (MI) activities is a significant challenge when using brain-computer interfaces (BCIs). BCIs allow people with motor impairments to control external devices directly with their brains using electroencephalogram (EEG) p…
  openalex Md. Humaun Kabir, Nadim Ibne Akhtar, Nishat Tasnim, Abu Saleh Musa Miah 等 2024-08-01 置信度 0.72 Motor imageryBrain–computer interfaceComputer scienceFeature extractionArtificial intelligence
• Inception Modules Enhance Brain Tumor Segmentation
  Magnetic resonance images of brain tumors are routinely used in neuro-oncology clinics for diagnosis, treatment planning and post-treatment tumor surveillance. Currently, physicians spend considerable time manually delineating different structures of the brain…
  openalex Daniel E. Cahall, Ghulam Rasool, Nidhal Bouaynaya, Hassan M. Fathallah‐Shaykh 2019-07-12 置信度 0.72 SegmentationComputer scienceNeuroscienceBrain tumorArtificial intelligence
• Evaluating the Feasibility of Visual Imagery for an EEG-Based Brain–Computer Interface
  Visual imagery, or the mental simulation of visual information from memory, could serve as an effective control paradigm for a brain-computer interface (BCI) due to its ability to directly convey the user's intention with many natural ways of envisioning an in…
  openalex Justin Kilmarx, Ivan Tashev, José del R. Millán, James Sulzer 等 2024-01-01 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceInterface (matter)Artificial intelligence
• The Brain Abstracted
  An exciting, new framework for interpreting the philosophical significance of neuroscience. All science needs to simplify, but when the object of research is something as complicated as the brain, this challenge can stretch the limits of scientific possibility…
  openalex M. Chirimuuta 2024-02-27 置信度 0.72 Computer science
• Repeated blood–brain barrier opening with an implantable ultrasound device for delivery of albumin-bound paclitaxel in patients with recurrent glioblastoma: a phase 1 trial
  openalex Adam M. Sonabend, Andrew Gould, Christina Amidei, Rachel Ward 等 2023-05-01 置信度 0.72 MedicineMicrobubblesCarboplatinPaclitaxelPharmacokinetics
• Flexible high-density microelectrode arrays for closed-loop brain–machine interfaces: a review
  Flexible high-density microelectrode arrays (HDMEAs) are emerging as a key component in closed-loop brain-machine interfaces (BMIs), providing high-resolution functionality for recording, stimulation, or both. The flexibility of these arrays provides advantage…
  openalex Xiang Liu, Yan Gong, Zebin Jiang, Trevor Stevens 等 2024-04-15 置信度 0.72 Brain–computer interfaceFlexibility (engineering)Computer scienceClosed loopKey (lock)
• Towards Transforming Neurorehabilitation: The Impact of Artificial Intelligence on Diagnosis and Treatment of Neurological Disorders
  Background and Objectives: Neurological disorders like stroke, spinal cord injury (SCI), and Parkinson’s disease (PD) significantly affect global health, requiring accurate diagnosis and long-term neurorehabilitation. Artificial intelligence (AI), such as mach…
  pubmed Andrea Calderone, Dèsiréè Latella, Mirjam Bonanno, Angelo Quartarone 等 2024 Oct 21 置信度 0.82 NeurorehabilitationMedicinePhysical medicine and rehabilitationIntensive care medicineNeuroscience
• Electroencephalogram in the intensive care unit: a focused look at acute brain injury
  openalex Ayham Alkhachroum, Brian Appavu, Satoshi Egawa, Brandon Foreman 等 2022-08-23 置信度 0.72 ElectroencephalographyMedicineStatus epilepticusIntensive care unitIntensive care medicine
• A novel theta-controlled vibrotactile brain–computer interface to treat chronic pain: a pilot study
  Limitations in chronic pain therapies necessitate novel interventions that are effective, accessible, and safe. Brain-computer interfaces (BCIs) provide a promising modality for targeting neuropathology underlying chronic pain by converting recorded neural act…
  openalex Phillip Demarest, Nabi Rustamov, James Swift, Tao Xie 等 2024-02-10 置信度 0.72 Brain–computer interfaceNeurofeedbackChronic painMedicinePhysical medicine and rehabilitation
• A Frequency-Domain Pattern Recognition Model for Motor Imagery-Based Brain-Computer Interface
  Brain-computer interface (BCI) is an appropriate technique for totally paralyzed people with a healthy brain. BCI based motor imagery (MI) is a common approach and widely used in neuroscience, rehabilitation engineering, as well as wheelchair control. In a BCI…
  openalex Z.T. Al-Qaysi, M. S Suzani, Nazre bin Abdul Rashid, Reem D. Ismail 等 2024-06-20 置信度 0.72 Brain–computer interfaceMotor imageryComputer scienceFrequency domainInterface (matter)
• Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50
  This study addresses the critical challenge of detecting brain tumors using MRI images, a pivotal task in medical diagnostics that demands high accuracy and interpretability. While deep learning has shown remarkable success in medical image analysis, there rem…
  openalex M. Mohamed Musthafa, T R Mahesh, V. Vinoth Kumar, Suresh Guluwadi 2024-05-11 置信度 0.72 InterpretabilityComputer scienceDeep learningArtificial intelligenceMachine learning
• Artificial Intelligence in Brain Tumor Imaging: A Step toward Personalized Medicine
  The application of artificial intelligence (AI) is accelerating the paradigm shift towards patient-tailored brain tumor management, achieving optimal onco-functional balance for each individual. AI-based models can positively impact different stages of the dia…
  openalex Maurizio Cè, Giovanni Irmici, Chiara Foschini, Giulia Maria Danesini 等 2023-02-22 置信度 0.72 MedicinePersonalized medicinePrecision medicineBrain tumorProcess (computing)
• Community perspectives regarding brain-computer interfaces: A cross-sectional study of community-dwelling adults in the UK
  BACKGROUND: Brain-computer interfaces (BCIs) represent a ground-breaking advancement in neuroscience, facilitating direct communication between the brain and external devices. This technology has the potential to significantly improve the lives of individuals …
  pubmed Austen El‐Osta, Mahmoud Al-Ammouri, Shujhat Khan, Sami Altalib 等 2025 Feb 置信度 0.82 Brain–computer interfacePerceptionAutonomyDemographicsPsychology
• Through the looking glass: A review of cranial window technology for optical access to the brain
  Deciphering neurologic function is a daunting task, requiring understanding the neuronal networks and emergent properties that arise from the interactions among single neurons. Mechanistic insights into neuronal networks require tools that simultaneously asses…
  openalex Samuel W. Cramer, Russell E. Carter, Justin D. Aronson, Suhasa B. Kodandaramaiah 等 2021-02-15 置信度 0.72 Window (computing)NeuroscienceComputer scienceBrain functionHigh resolution
• EEG-TCNTransformer: A Temporal Convolutional Transformer for Motor Imagery Brain–Computer Interfaces
  In brain–computer interface motor imagery (BCI-MI) systems, convolutional neural networks (CNNs) have traditionally dominated as the deep learning method of choice, demonstrating significant advancements in state-of-the-art studies. Recently, Transformer model…
  openalex Anh Hoang Phuc Nguyen, Oluwabunmi Oyefisayo, Maximilian Achim Pfeffer, Sai Ho Ling 2024-09-23 置信度 0.72 Motor imageryElectroencephalographyBrain–computer interfaceComputer scienceTransformer
• BraTS Toolkit: Translating BraTS Brain Tumor Segmentation Algorithms Into Clinical and Scientific Practice
  Despite great advances in brain tumor segmentation and clear clinical need, translation of state-of-the-art computational methods into clinical routine and scientific practice remains a major challenge. Several factors impede successful implementations, includ…
  openalex Florian Kofler, Christoph Berger, Diana Waldmannstetter, Jana Lipková 等 2020-04-29 置信度 0.72 Computer sciencePreprocessorSegmentationStandardizationArtificial intelligence
• Interactive computer-aided diagnosis on medical image using large language models
  Computer-aided diagnosis (CAD) has advanced medical image analysis, while large language models (LLMs) have shown potential in clinical applications. However, LLMs struggle to interpret medical images, which are critical for decision-making. Here we show a str…
  openalex Sheng Wang, Zihao Zhao, Xi Ouyang, Tianming Liu 等 2024-09-17 置信度 0.72 CADComputer scienceSegmentationComputer-aided diagnosisPoint (geometry)
• Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry
  Information about the size of a tumor and its temporal evolution is needed for diagnosis as well as treatment of brain tumor patients. The aim of the study was to investigate the potential of a fully-automatic segmentation method, called BraTumIA, for longitud…
  openalex Raphael Meier, Urspeter Knecht, Tina Loosli, Stefan Bauer 等 2016-03-22 置信度 0.72 SegmentationMagnetic resonance imagingBrain tumorContrast (vision)Glioblastoma
• Exploring the U-Net++ Model for Automatic Brain Tumor Segmentation
  The accessibility and potential of deep learning techniques have increased considerably over the past years. Image segmentation is one of the many fields which have seen novel implementations being developed to solve problems in the domain. U-Net is an example…
  openalex Neil Micallef, Dylan Seychell, Claude J. Bajada 2021-01-01 置信度 0.72 Computer scienceSegmentationArtificial intelligenceDeep learningNet (polyhedron)
• Decoding Pain: A Comprehensive Review of Computational Intelligence Methods in Electroencephalography-Based Brain–Computer Interfaces
  Objective pain evaluation is crucial for determining appropriate treatment strategies in clinical settings. Studies have demonstrated the potential of using brain-computer interface (BCI) technology for pain classification and detection. Collating knowledge an…
  openalex Hadeel Alshehri, Abeer Al-Nafjan, Mashael Aldayel 2025-01-27 置信度 0.72 ElectroencephalographyComputer scienceBrain–computer interfaceArtificial intelligenceDecoding methods
• Brain control of bimanual movement enabled by recurrent neural networks
  Brain-computer interfaces have so far focused largely on enabling the control of a single effector, for example a single computer cursor or robotic arm. Restoring multi-effector motion could unlock greater functionality for people with paralysis (e.g., bimanua…
  openalex Darrel R. Deo, Francis R. Willett, Donald T. Avansino, Leigh R. Hochberg 等 2024-01-18 置信度 0.72 Computer scienceRecurrent neural networkCursor (databases)Artificial neural networkBrain–computer interface
• On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface
  Electroencephalogram (EEG)-based Brain-Computer Interfaces (BCIs) have garnered significant interest across various domains, including rehabilitation and robotics. Despite advancements in neural network-based EEG decoding, maintaining performance across divers…
  openalex Sizhen Bian, Pixi Kang, Julian Moosmann, Mengxi Liu 等 2024-09-25 置信度 0.72 Brain–computer interfaceMotor imageryWearable computerComputer scienceInterface (matter)
• BrainNet: Precision Brain Tumor Classification with Optimized EfficientNet Architecture
  Brain tumors significantly impact human health due to their complexity and the challenges in early detection and treatment. Accurate diagnosis is crucial for effective intervention, but existing methods often suffer from limitations in accuracy and efficiency.…
  openalex Md. Manowarul Islam, Md. Alamin Talukder, Md. Ashraf Uddin, Arnisha Akhter 等 2024-01-01 置信度 0.72 PreprocessorComputer scienceReliability (semiconductor)PinnacleArtificial intelligence
• A Drosophila computational brain model reveals sensorimotor processing
  Abstract The recent assembly of the adult Drosophila melanogaster central brain connectome, containing more than 125,000 neurons and 50 million synaptic connections, provides a template for examining sensory processing throughout the brain 1,2 . Here we create…
  openalex Philip K. Shiu, Gabriella R Sterne, Nico Spiller, Romain Franconville 等 2024-10-02 置信度 0.72 NeuroscienceOptogeneticsConnectomeDrosophila melanogasterBiological neural network
• An Impending Paradigm Shift in Motor Imagery Based Brain-Computer Interfaces
  The development of reliable assistive devices for patients that suffer from motor impairments following central nervous system lesions remains a major challenge in the field of non-invasive Brain-Computer Interfaces (BCIs). These approaches are predominated by…
  openalex Sotirios Papadopoulos, James Bonaiuto, Jérémie Mattout 2022-01-12 置信度 0.72 Brain–computer interfaceMagnetoencephalographyElectroencephalographyMotor imageryNeurophysiology
• A click-based electrocorticographic brain-computer interface enables long-term high-performance switch scan spelling
  BACKGROUND: Brain-computer interfaces (BCIs) can restore communication for movement- and/or speech-impaired individuals by enabling neural control of computer typing applications. Single command click detectors provide a basic yet highly functional capability.…
  pubmed Daniel N. Candrea, Samyak Shah, Shiyu Luo, Miguel Angrick 等 2024 Oct 22 置信度 0.82 Brain–computer interfaceComputer scienceInterface (matter)InterruptSpelling
• Measuring instability in chronic human intracortical neural recordings towards stable, long-term brain-computer interfaces
  Intracortical brain-computer interfaces (iBCIs) enable people with tetraplegia to gain intuitive cursor control from movement intentions. To translate to practical use, iBCIs should provide reliable performance for extended periods of time. However, performanc…
  pubmed Tsam Kiu Pun, Mona Khoshnevis, Tommy Hosman, Guy H Wilson 等 2024 Oct 21 置信度 0.82 TetraplegiaCursor (databases)NeuroprostheticsComputer scienceBrain–computer interface
• Brain tumor detection and segmentation: Interactive framework with a visual interface and feedback facility for dynamically improved accuracy and trust
  Brain cancers caused by malignant brain tumors are one of the most fatal cancer types with a low survival rate mostly due to the difficulties in early detection. Medical professionals therefore use various invasive and non-invasive methods for detecting and tr…
  openalex Kashfia Sailunaz, Deniz Beştepe, Sleiman Alhajj, Tansel Özyer 等 2023-04-17 置信度 0.72 Brain tumorSegmentationMagnetic resonance imagingComputer scienceNeuroimaging
• Applications over the horizon — Advancements and challenges in brain-computer interfaces
  Brain-computer interface (BCI) has emerged as a cutting-edge technology that aims to establish a direct communication pathway between human brain and external devices. 1 One of the main purposes of BCIs is to enable individuals to control external devices or i…
  openalex Weiran Pang, Chuqi Yuan, Yuandong Zheng, Tianting Zhong 等 2024-01-01 置信度 0.72 Brain–computer interfaceHuman–computer interactionComputer scienceInterface (matter)Human brain
• A direct spinal cord–computer interface enables the control of the paralysed hand in spinal cord injury
  Paralysis of the muscles controlling the hand dramatically limits the quality of life for individuals living with spinal cord injury (SCI). Here, with a non-invasive neural interface, we demonstrate that eight motor complete SCI individuals (C5-C6) are still a…
  openalex Daniela Souza de Oliveira, Matthias Ponfick, Dominik I. Braun, Marius Oßwald 等 2024-03-18 置信度 0.72 Spinal cord injuryPhysical medicine and rehabilitationBrain–computer interfaceSpinal cordMotor control
• Performance of the Action Observation-Based Brain–Computer Interface in Stroke Patients and Gaze Metrics Analysis
  Brain-computer interfaces (BCIs) are anticipated to improve the efficacy of rehabilitation for people with motor disabilities. However, applying BCI in clinical practice is still a challenge due to the great diversity of patients. In the current study, a novel…
  openalex Xin Zhang, Lin He, Qiang Gao, Ning Jiang 2024-01-01 置信度 0.72 Brain–computer interfaceGazePsychologyStimulus (psychology)Physical medicine and rehabilitation
• Several inaccurate or erroneous conceptions and misleading propaganda about brain-computer interfaces
  Brain-computer interface (BCI) is a revolutionizing human-computer interaction, which has potential applications for specific individuals or groups in specific scenarios. Extensive research has been conducted on the principles and implementation methods of BCI…
  openalex Yanxiao Chen, Fan Wang, Tianwen Li, Lei Zhao 等 2024-03-27 置信度 0.72 Brain–computer interfaceComputer scienceUploadInterface (matter)Bridge (graph theory)
• Beta bursts question the ruling power for brain–computer interfaces
  Abstract Objective : Current efforts to build reliable brain–computer interfaces (BCI) span multiple axes from hardware, to software, to more sophisticated experimental protocols, and personalized approaches. However, despite these abundant efforts, there is s…
  openalex Sotirios Papadopoulos, Maciej J Szul, Marco Congedo, James Bonaiuto 等 2024-01-02 置信度 0.72 Brain–computer interfaceComputer scienceBETA (programming language)Decoding methodsElectroencephalography
• Xylazine effects on opioid-induced brain hypoxia
  openalex Shinbe Choi, Matthew R. Irwin, Eugene A. Kiyatkin 2023-06-21 置信度 0.72 XylazineAnesthesiaHypothermiaKetamineFentanyl
• Review of Multimodal Data Acquisition Approaches for Brain–Computer Interfaces
  There have been multiple technological advancements that promise to gradually enable devices to measure and record signals with high resolution and accuracy in the domain of brain–computer interfaces (BCIs). Multimodal BCIs have been able to gain significant t…
  openalex Sayantan Ghosh, Domokos Máthé, Purushothaman Bhuvana Harishita, Pramod Sankarapillai 等 2024-12-02 置信度 0.72 ModalitiesComputer scienceMagnetoencephalographyElectroencephalographyNeuroimaging
• Construction 5.0 and Sustainable Neuro-Responsive Habitats: Integrating the Brain–Computer Interface and Building Information Modeling in Smart Residential Spaces
  This study takes a unique approach by investigating the integration of Brain–Computer Interfaces (BCIs) and Building Information Modeling (BIM) within residential architecture. It explores their combined potential to foster neuro-responsive, sustainable enviro…
  openalex Amjad Almusaed, İbrahim Yitmen, Asaad Almssad, Jonn Are Myhren 2024-10-29 置信度 0.72 Brain–computer interfaceInterface (matter)Architectural engineeringComputer scienceHuman–computer interaction
• Brain Tumor Segmentation from MRI Images Using Handcrafted Convolutional Neural Network
  Brain tumor segmentation from magnetic resonance imaging (MRI) scans is critical for the diagnosis, treatment planning, and monitoring of therapeutic outcomes. Thus, this research introduces a novel hybrid approach that combines handcrafted features with convo…
  openalex Faizan Ullah, Muhammad Nadeem, Mohammad Abrar, Muna Al‐Razgan 等 2023-08-11 置信度 0.72 Convolutional neural networkSegmentationComputer scienceArtificial intelligencePattern recognition (psychology)
• Ethical and Safety Challenges of Implantable Brain-Computer Interface
  The study of brain-computer interfaces (BCIs) holds immense potential across various fields, particularly in Human-Robot Interaction, where invasive BCIs offer precise and direct communication between the human brain and robotic devices.However, the use of inv…
  openalex Ihab A. Satam, Róbert Szabolcsi 2025-01-01 置信度 0.72 Interface (matter)Brain–computer interfaceEngineeringEngineering ethicsHuman–computer interaction
• The ReHand-BCI trial: a randomized controlled trial of a brain-computer interface for upper extremity stroke neurorehabilitation
  Background: Brain-computer interfaces (BCI) are a promising complementary therapy for stroke rehabilitation due to the close-loop feedback that can be provided with these systems, but more evidence is needed regarding their clinical and neuroplasticity effects…
  openalex Jessica Cantillo-Negrete, Martín Emiliano Rodríguez-García, Paul Carrillo‐Mora, Óscar Arias-Carrión 等 2025-06-18 置信度 0.72 NeurorehabilitationBrain–computer interfacePhysical medicine and rehabilitationStroke (engine)Randomized controlled trial
• Exploring the Intersection of Brain–Computer Interfaces and Quantum Sensing: A Review of Research Progress and Future Trends
  Abstract Brain–computer interfaces (BCIs) can revolutionize how humans interact with technology, but several scientific and technological challenges must be addressed to realize their full potential. Recent developments in quantum‐based sensing methods offer p…
  openalex Kun Liao, Zhaochu Yang, Tao Dong, Libo Zhao 等 2023-10-31 置信度 0.72 Brain–computer interfaceComputer scienceQuantum computerIntersection (aeronautics)Quantum
• Advancements in brain-computer interfaces for the rehabilitation of unilateral spatial neglect: a concise review
  This short review examines recent advancements in neurotechnologies within the context of managing unilateral spatial neglect (USN), a common condition following stroke. Despite the success of brain-computer interfaces (BCIs) in restoring motor function, there…
  openalex Alix Gouret, Solène Le Bars, Thibault Porssut, Florian Waszak 等 2024-05-09 置信度 0.72 Brain–computer interfaceNeglectRehabilitationContext (archaeology)Cognition
• Neuromorphic spintronics
  openalex Julie Grollier, Damien Querlioz, Kerem Y. Çamsarı, Karin Everschor‐Sitte 等 2020-03-02 置信度 0.72 Neuromorphic engineeringSpintronicsComputer scienceTunnel magnetoresistanceElectronic circuit
• Analysis of Minimal Channel Electroencephalography for Wearable Brain–Computer Interface
  Electroencephalography (EEG)-based brain—computer interface (BCI) is a non-invasive technology with potential in various healthcare applications, including stroke rehabilitation and neuro-feedback training. These applications typically require multi-channel EE…
  openalex Arpa Suwannarat, Setha Pan-ngum, Pasin Israsena 2024-01-30 置信度 0.72 HeadsetBrain–computer interfaceElectroencephalographyComputer scienceChannel (broadcasting)
• Competing at the Cybathlon championship for people with disabilities: long-term motor imagery brain–computer interface training of a cybathlete who has tetraplegia
  BACKGROUND: The brain-computer interface (BCI) race at the Cybathlon championship, for people with disabilities, challenges teams (BCI researchers, developers and pilots with spinal cord injury) to control an avatar on a virtual racetrack without movement. Her…
  openalex Attila Korik, Karl McCreadie, Niall McShane, Naomi du Bois 等 2022-09-06 置信度 0.72 TetraplegiaBrain–computer interfaceMotor imageryPhysical medicine and rehabilitationTerm (time)
• Brain–computer interface in critical care and rehabilitation
  This comprehensive review explores the broad landscape of brain-computer interface (BCI) technology and its potential use in intensive care units (ICUs), particularly for patients with motor impairments such as quadriplegia or severe brain injury. By employing…
  openalex Eunseo Oh, Seyoung Shin, Sung-Phil Kim 2024-01-16 置信度 0.72 Brain–computer interfaceRehabilitationInterface (matter)Physical medicine and rehabilitationBrain function
• Optimal Time Window Selection in the Wavelet Signal Domain for Brain–Computer Interfaces in Wheelchair Steering Control
  Background and objective: Principally, the procedure of pattern recognition in terms of segmentation plays a significant role in a BCI-based wheelchair control system for avoiding recognition errors, which can lead to the initiation of the wrong command that w…
  openalex Z.T. Al-Qaysi, M. S Suzani, Nazre bin Abdul Rashid, Rasha A. Aljanabi 等 2024-06-15 置信度 0.72 WheelchairWindow (computing)Time domainWaveletComputer science
• Searching for principles of brain computation
  Experimental methods in neuroscience, such as calcium-imaging and recordings with multi-electrode arrays, are advancing at a rapid pace. They produce insight into the simultaneous activity of large numbers of neurons, and into plasticity processes in the brain…
  openalex Wolfgang Maass 2016-06-15 置信度 0.72 NeuroscienceStructural plasticityPerceptionComputer scienceCognition
• AI Applications in Adult Stroke Recovery and Rehabilitation: A Scoping Review Using AI
  Stroke is a leading cause of long-term disability worldwide. With the advancements in sensor technologies and data availability, artificial intelligence (AI) holds the promise of improving the amount, quality and efficiency of care and enhancing the precision …
  pubmed Isuru Senadheera, Prasad Hettiarachchi, Brendon Haslam, Rashmika Nawaratne 等 2024 Oct 12 置信度 0.82 RehabilitationStroke (engine)Physical medicine and rehabilitationPsychologyMedicine
• An Accurate and Rapidly Calibrating Speech Neuroprosthesis
  BACKGROUND: Brain-computer interfaces can enable communication for people with paralysis by transforming cortical activity associated with attempted speech into text on a computer screen. Communication with brain-computer interfaces has been restricted by exte…
  openalex Nicholas S. Card, Maitreyee Wairagkar, Carrina Iacobacci, Xianda Hou 等 2024-08-14 置信度 0.72 NeuroprostheticsDysarthriaLocked-in syndromeBrain–computer interfaceAudiology
• Brain–Computer Interfaces with Intracortical Implants for Motor and Communication Functions Compensation: Review of Recent Developments
  Brain-computer interfaces allow the exchange of data between the brain and an external device, bypassing the muscular system. Clinical studies of invasive brain-computer interface technologies have been conducted for over 20 years. During this time, there has …
  pubmed О. А. Мокиенко, Mokienko OA 2024 置信度 0.82 Brain–computer interfaceCompensation (psychology)NeuroscienceComputer scienceHuman–computer interaction
• Interfacing Biology and Electronics with Memristive Materials
  Memristive technologies promise to have a large impact on modern electronics, particularly in the areas of reconfigurable computing and artificial intelligence (AI) hardware. Meanwhile, the evolution of memristive materials alongside the technological progress…
  openalex Ioulia Tzouvadaki, Paschalis Gkoupidenis, Stefano Vassanelli, Shiwei Wang 等 2023-02-25 置信度 0.72 InterfacingElectronicsNeuromorphic engineeringComputer scienceNanotechnology