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• Author Correction: Peptide design through binding interface mimicry with PepMimic.
  europepmc 2026 置信度 0.80
• Neuromorphic tissues: Soft biomolecular networks for brain-inspired temporal computing.
  Brains achieve extraordinary efficiency in processing temporal information through dense interconnectivity and recurrent feedback among neurons. Inspired by this principle, we introduce neuromorphic tissues-soft biomolecular networks comprising cell-sized aque…
  pubmed Armendarez NX, Mohamed AS, Hasan MS, Najem JS 2026 置信度 0.82
• ERD Full-process Longitudinal Trend and Pre-post Motor Recovery Under BCI-controlled Sixth-finger Neurofeedback Intervention in Stroke Patients: an Exploratory Single-arm Study.
  Motor imagery-based brain-computer interface (MI-BCI) is used in stroke rehabilitation to match brain activity with contingent feedback to establish closed-loop pathways and provide a measure of neuroplasticity changes in patients. However, most studies assess…
  pubmed Wang Z, Liu Y, Huang S, Wu W 等 2026 置信度 0.82
• SDDA: Spatial Distillation Based Distribution Alignment for Cross-Headset EEG Classification.
  Objective A non-invasive brain-computer interface (BCI) enables direct interaction between the user and external devices, typically via electroencephalogram (EEG) signals. This paper tackles the problem of decoding EEG signals across different headsets, which …
  europepmc 2026 置信度 0.80
• EEG-DBNet: a dual-branch framework for temporal-spectral representation learning of motor imagery electroencephalography.
  Motor imagery electroencephalography (MI-EEG) decoding remains challenging due to low signal-to-noise ratio and complex temporal-spectral characteristics. This study aims to develop a robust deep learning framework for effective EEG representation learning.
  pubmed Qu Y, Lou X, Meng H, Li Z 等 2026 置信度 0.82
• Large language models integrated into brain-computer interfaces for communication and control: a systematic review.
  Large language models (LLMs) are starting to be coupled with brain-computer interfaces (BCIs) for assistive communication, but the resulting systems differ widely in where the model sits in the pipeline and in what they actually measure. We performed a systema…
  europepmc 2026 置信度 0.80
• Cortico-basal oscillations index naturalistic movements during deep brain stimulation.
  The basal ganglia and sensorimotor cortex are essential nodes of a network that supports motor control. In Parkinson's disease, disruptions in this network lead to rigidity and slowness during movement execution. Deep brain stimulation (DBS) of the basal gangl…
  europepmc 2026 置信度 0.80
• [Dual-stream temporal-frequency convolutional network with additive attention for auditory attention decoding].
  In complex auditory environments, humans can selectively attend to a target speaker while suppressing interfering sources. Electroencephalography (EEG)-based auditory attention decoding (AAD) aims to identify the speech source an individual is attending to, ho…
  pubmed Lin X, Zhang S, Huang S 2026 置信度 0.82
• A Fine-grained Spatiotemporal ECoG Dataset during Speech Perception in Tonal Language.
  High-density intracranial recordings during naturalistic language processing are critical for advancing models of speech perception. However, open, well-annotated high-density ECoG resources for tonal languages such as Mandarin remain scarce. We present a publ…
  pubmed Zhang H, Zhang D, Wu J, Li Y 等 2026 置信度 0.82
• Toward the Automatic Detection of Vection in Virtual Reality Using EEG.
  Vection, the visual illusion of self-motion, provides a strong marker of the VR user experience and plays an important role in both presence and cybersickness. Traditional measurements have been conducted using questionnaires, which exhibit inherent limitation…
  europepmc 2026 置信度 0.80
• Closed-loop readout of anterior insula high-gamma activity steers value-based decisions.
  The decision-making field has long attempted to understand the origins of human choice variability. A potential source of variability lies in spontaneous fluctuations of ongoing neural activity, which may influence behavior across several cognitive domains. He…
  pubmed Baratin C, Pessiglione M, Kahane P, Robin A 等 2026 置信度 0.82
• Three-dimensional helical integration of high-density linear microelectrode arrays and their cross-tissue applications.
  Implantable neural microelectrodes are the core components enabling high spatiotemporal resolution neural signal recording and stimulation in brain-computer interfaces (BCIs). However, current technologies still face challenges in achieving high-throughput rec…
  pubmed Wang M, Shang S, Xu Y, Zhou C 等 2026 置信度 0.82
• A RAPID PROTOTYPING ENVIRONMENT FOR CLOSED-LOOP NEUROMODULATION USING THE BRAIN INTERCHANGE SYSTEM.
  For implantable closed loop neuromodulation systems, real-time neural sensing, biomarker detection, and targeted stimulation are essential components for delivering personalized therapy. Current limitations in sampling rate and the number of available recordin…
  europepmc 2026 置信度 0.80
• Decentralized neural dynamics and sensory constraints shape brittle star locomotion.
  Brittle stars move with remarkable whole-body coordination despite lacking a central brain. With five identical arms radiating from a central disc, they predominantly adopt a bilaterally symmetrical rowing gait: one arm leads, two neighbouring arms row in sync…
  pubmed Marzougui D, Adriaens D, Wyffels F 2026 置信度 0.82
• An Online Adaptation Framework for Enhancing Calibration-Free SSVEP-Based BCI Performance.
  Accomplishing a plug-and-play steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) remains a critical challenge, due to the unsatisfying performance of calibration-free decoding algorithms.A current method called online adaptive ca…
  europepmc 2026 置信度 0.80
• Incomplete penetrance in neurogenetic disorders: current insights and emerging perspectives.
  Neurogenetic disorders have been recognized clinically for decades, and advances in clinical and genetic studies have identified more than 1700 monogenic causes of neurological diseases. Various types of mutations, including missense, truncating, and repeat ex…
  pubmed Xu JJ, Chen DF, Wu ZY 2026 置信度 0.82
• Digital Aids for Social Media in Adults With Traumatic Brain Injury: Longitudinal Evaluation Study.
  Digital social media aids are features that enhance accessibility to social media for users with disabilities. One group of adults with disabilities who have reported barriers to social media access is adults with traumatic brain injury (TBI). Results of previ…
  pubmed Sullivan D, Patel NN, Kakonge L, Kim CY 等 2026 置信度 0.82
• Distinct roles of neuronal phenotypes during neurofeedback adaptation.
  Learning adaptation allows the brain to refine motor patterns in response to changing environments rapidly. While population-level neural dynamics and single-neuron activity in motor learning have been widely studied, the contributions of individual neuron typ…
  pubmed Zhao Y, Stealey HM, Lu HY, Contreras-Hernandez E 等 2026 置信度 0.82
• Cross-Hemispheric Spatial-Temporal Attention Network for Decoding Silent Speech From EEG.
  Objective Speech, as the core of advanced human cognition, is fundamental to social interaction and daily life. Electroencephalogram (EEG)-based speech brain-computer interface (BCI) offers a novel communication pathway for patients with speech disorders, wher…
  europepmc 2026 置信度 0.80
• CNN models in time-frequency domain for identification of motor imagery tasks from EEG signals.
  The Motor imagery (MI) based brain computer interface (BCI) system provides a way for the people suffering from motor impairments to communicate to the external world. This work proposes compact convolutional neural network (CNN) models with single convolution…
  pubmed Srimadumathi V, Reddy MR 2026 置信度 0.82
• Neuromorphic Devices and Computing for Sensing, Memory, and Control.
  Neuromorphic devices are bioinspired electronic systems that mimic key structures and functions of the nervous system, enabling integration and communication between living tissues and machines. This review examines how neuromorphic devices and computing are d…
  pubmed Zhu Z, Schaffer N, Yang X 2026 置信度 0.82
• A modular, high-bandwidth, bidirectional implantable device for neural interrogation.
  Objective. Modern neuroelectronic interfaces have shown great potential to diagnose conditions, address neurological dysfunction, and advance neuroscientific knowledge. However, neural interface systems today require tethered connections that restrict mobility…
  pubmed Darie R, Parker SR, Calvert JS, Tiwari E 等 2026 置信度 0.82
• A 1024-Channel Hybrid Voltage/Current-Clamp Neural Interface System-on-Chip With Dynamic Incremental SAR Acquisition.
  The demand for high-throughput, multi-modal recording and stimulation in neuroscience research has driven the development of neural interfaces that optimize area and energy efficiency without compromising noise performance. Simultaneously, the need for on-chip…
  europepmc 2026 置信度 0.80
• Sex differences in connectivity-based prediction of working memory and its neural organization.
  Working memory (WM) depends on coordinated interactions among distributed brain systems. Although sex differences in WM have been widely studied, most previous work has focused on group-level activation differences. As a result, it remains unclear whether male…
  pubmed Zhuo L, Xiong R, Zhang T, Wei X 等 2026 置信度 0.82
• Brain connectivity mediates the association between childhood maltreatment and personality in young adults.
  Childhood maltreatment (CM) is widely acknowledged to have a lasting impact on mental health. However, the neurobiological underpinnings of CM and its long-term effects on personality remain unclear. This study aims to identify the functional connectivity (FC)…
  pubmed Pang Y, Zhang Z, Wang X, Pang J 等 2026 置信度 0.82
• Multifunctional Electrode/Neural Integration Interface Enabling Chronic High-Fidelity Neural Recording and an Order-of-Magnitude Neuromodulation Quality.
  Neural electrodes face persistent challenges, including inflammation, biofouling, and impedance, which compromise long-term recording and stimulation quality. Here, we introduced a multifunctional polyamino acid interface that enhances neural interfacing by co…
  pubmed Shao M, Sun L, Qu W, Wang L 等 2026 置信度 0.82
• Progress in the development of a fully implantable brain–computer interface: the potential of sensing-enabled neurostimulators
  This perspective article investigates the performance of using a sensing-enabled neurostimulator as a motor brain-computer interface.
  openalex Yue Chen, Guokun Zhang, Linxiao Guan, Chen Gong 等 2022-05-24 置信度 0.72 Brain–computer interfaceInterface (matter)Perspective (graphical)Human–computer interactionNeuroscience
• Mapping of primary somatosensory cortex of the hand area using a high-density electrocorticography grid for closed-loop brain computer interface
  Abstract Objective. The ideal modality for generating sensation in sensorimotor brain computer interfaces (BCI) has not been determined. Here we report the feasibility of using a high-density ‘mini’-electrocorticography (mECoG) grid in a somatosensory BCI syst…
  openalex Daniel R. Kramer, Morgan B. Lee, Michael F. Barbaro, Angad S. Gogia 等 2020-03-04 置信度 0.72 ElectrocorticographySomatosensory systemBrain–computer interfaceSensationSensory system
• A generative model approach for decoding in the visual event-related potential-based brain–computer interface speller
  There is a strong tendency towards discriminative approaches in brain-computer interface (BCI) research. We argue that generative model-based approaches are worth pursuing and propose a simple generative model for the visual ERP-based BCI speller which incorpo…
  openalex Suzanne Martens, José Leiva 2010-02-18 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Decoding methodsEvent (particle physics)
• Bayesian Uncertainty Modeling for P300-Based Brain-Computer Interface
  P300 potential is important to cognitive neuroscience research, and has also been widely applied in brain-computer interfaces (BCIs). To detect P300, many neural network models, including convolutional neural networks (CNNs), have achieved outstanding results.…
  openalex Ronghua Ma, Hao Zhang, Jun Zhang, Xiaoli Zhong 等 2023-01-01 置信度 0.72 OverfittingComputer scienceArtificial intelligenceConvolutional neural networkRobustness (evolution)
• Real-time 3D image registration for functional MRI
  Subject head movements are one of the main practical difficulties with brain functional MRI. A fast, accurate method for rotating and shifting a three-dimensional (3D) image using a shear factorization of the rotation matrix is described. Combined with gradien…
  openalex Robert W. Cox, Andrzej Jesmanowicz 1999-12-01 置信度 0.72 Artificial intelligenceComputer scienceRotation (mathematics)Computer visionLinearization
• The pediatric template of brain perfusion
  Magnetic resonance imaging (MRI) captures the dynamics of brain development with multiple modalities that quantify both structure and function. These measurements may yield valuable insights into the neural patterns that mark healthy maturation or that identif…
  openalex Brian Avants, Jeffrey Duda, Emily Kilroy, Kate Krasileva 等 2015-02-03 置信度 0.72 NeuroimagingNeuroscienceWhite matterDefault mode networkPsychology
• An energy costly architecture of neuromodulators for human brain evolution and cognition
  In comparison to other species, the human brain exhibits one of the highest energy demands relative to body metabolism. It remains unclear whether this heightened energy demand uniformly supports an enlarged brain or if specific signaling mechanisms necessitat…
  openalex Gabriel Castrillón, Samira Epp, Antonia Bose, Laura Fraticelli 等 2023-12-13 置信度 0.72 Human brainNeuroscienceCognitionBiologyConnectome
• The fractal brain: scale-invariance in structure and dynamics
  The past 40 years have witnessed extensive research on fractal structure and scale-free dynamics in the brain. Although considerable progress has been made, a comprehensive picture has yet to emerge, and needs further linking to a mechanistic account of brain …
  openalex George Florin Grosu, Alexander V. Hopp, Vasile V. Moca, Harald Bârzan 等 2022-09-26 置信度 0.72 FractalScale (ratio)Perspective (graphical)Computer scienceCognitive science
• An overview of multi-task learning
  Abstract As a promising area in machine learning, multi-task learning (MTL) aims to improve the performance of multiple related learning tasks by leveraging useful information among them. In this paper, we give an overview of MTL by first giving a definition o…
  openalex Yu Zhang, Qiang Yang 2017-08-27 置信度 0.72 Computer scienceTask (project management)Multi-task learningArtificial intelligenceUnsupervised learning
• Brain–spine interfaces to reverse paralysis
  Various neurotrauma and neurodegenerative disorders alter the communication between the brain and the regions of the spinal cord that control movement. The consequences are permanent motor deficits or even complete paralysis. The neurons responsible for the pr…
  openalex Henri Lorach, Guillaume Charvet, Jocelyne Bloch, Grégoire Courtine 2022-01-14 置信度 0.72 ParalysisNeuroscienceStimulationPhysical medicine and rehabilitationComputer science
• IterativeN-way partial least squares for a binary self-paced brain–computer interface in freely moving animals
  In this paper a tensor-based approach is developed for calibration of binary self-paced brain-computer interface (BCI) systems. In order to form the feature tensor, electrocorticograms, recorded during behavioral experiments in freely moving animals (rats), we…
  openalex Andrey Eliseyev, Cécile Moro, Thomas Costecalde, Napoleon Torrès 等 2011-06-10 置信度 0.72 Brain–computer interfaceComputer scienceRobustness (evolution)Binary numberTensor (intrinsic definition)
• Effect of aging on neurogenesis in the canine brain
  An age-dependent decline in hippocampal neurogenesis has been reported in laboratory rodents. Environmental enrichment proved to be a strong trigger of neurogenesis in young and aged laboratory rodents, which are generally kept in facilities with a paucity of …
  openalex Anton Pekcec, Wolfgang Baumgärtner, Jens P. Bankstahl, Veronika M. Stein 等 2008-03-23 置信度 0.72 NeurogenesisDoublecortinHippocampal formationSubgranular zoneBiology
• Designing a brain computer interface for control of an assistive robotic manipulator using steady state visually evoked potentials
  An assistive robotic manipulator (ARM) can provide independence and improve the quality of life for patients suffering from tetraplegia. However, to properly control such device to a satisfactory level without any motor functions requires a very high performin…
  openalex R. L. Kaseler, Kasper Leerskov, Lotte N. S. Andreasen Struijk, Kim Dremstrup 等 2019-06-01 置信度 0.72 Brain–computer interfaceComputer scienceWorkspaceInterface (matter)Stimulus (psychology)
• A Framework for Preserving Privacy and Cybersecurity in Brain-Computer Interfacing Applications
  Brain-Computer Interfaces (BCIs) comprise a rapidly evolving field of technology with the potential of far-reaching impact in domains ranging from medical over industrial to artistic, gaming, and military. Today, these emerging BCI applications are typically s…
  openalex Maryna Kapitonova, Philipp Kellmeyer, S. Vogt, Tonio Ball 2022-09-19 置信度 0.72 Computer scienceBrain–computer interfaceInterfacingField (mathematics)Computer security
• A Link between the Increase in Electroencephalographic Coherence and Performance Improvement in Operating a Brain-Computer Interface
  We study the relationship between electroencephalographic (EEG) coherence and accuracy in operating a brain-computer interface (BCI). In our case, the BCI is controlled through motor imagery. Hence, a number of volunteers were trained using different training …
  openalex I. N. Angulo-Sherman, David Gutiérrez 2015-01-01 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceMotor imageryInterface (matter)
• Connectomics and new approaches for analyzing human brain functional connectivity
  Estimating the functional interactions between brain regions and mapping those connections to corresponding inter-individual differences in cognitive, behavioral and psychiatric domains are central pursuits for understanding the human connectome. The number an…
  openalex R. Cameron Craddock, Rosalia Tungaraza, Michael P. Milham 2015-03-24 置信度 0.72 ConnectomicsConnectomeComputer scienceHuman Connectome ProjectData science
• ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties
  Because undesirable pharmacokinetics and toxicity of candidate compounds are the main reasons for the failure of drug development, it has been widely recognized that absorption, distribution, metabolism, excretion and toxicity (ADMET) should be evaluated as ea…
  openalex Guo‐Li Xiong, Zhenhua Wu, Jiacai Yi, Li Fu 等 2021-03-30 置信度 0.72 ADMEIn silicoToxicityComputer scienceComputational biology
• Decoding and synthesizing tonal language speech from brain activity
  Recent studies have shown that the feasibility of speech brain-computer interfaces (BCIs) as a clinically valid treatment in helping nontonal language patients with communication disorders restore their speech ability. However, tonal language speech BCI is cha…
  openalex Yan Liu, Zehao Zhao, Minpeng Xu, Haiqing Yu 等 2023-06-09 置信度 0.72 Computer scienceSyllableSpeech recognitionDecoding methodsArtificial neural network
• Systems Biology, Neuroimaging, Neuropsychology, Neuroconnectivity and Traumatic Brain Injury
  The patient who sustains a traumatic brain injury (TBI) typically undergoes neuroimaging studies, usually in the form of computed tomography (CT) and magnetic resonance imaging (MRI). In most cases the neuroimaging findings are clinically assessed with descrip…
  openalex Erin D. Bigler 2016-08-08 置信度 0.72 NeuroimagingNeuropsychologyNeuropathologyTraumatic brain injuryPsychology
• Dynamic human and avatar facial expressions elicit differential brain responses
  Computer-generated characters, so-called avatars, are widely used in advertising, entertainment, human-computer interaction or as research tools to investigate human emotion perception. However, brain responses to avatar and human faces have scarcely been stud…
  openalex Lorena Kegel, Peter Brugger, Sascha Frühholz, Thomas Grünwald 等 2020-03-01 置信度 0.72 AvatarPsychologySuperior temporal sulcusFacial expressionHuman brain
• Distinguishable spatial-spectral feature learning neural network framework for motor imagery-based brain–computer interface
  Abstract Objective. Spatial and spectral features extracted from electroencephalogram (EEG) are critical for the classification of motor imagery (MI) tasks. As prevalently used methods, the common spatial pattern (CSP) and filter bank CSP (FBCSP) can effective…
  openalex Chang Liu, Jing Jin, Ren Xu, Shurui Li 等 2021-08-01 置信度 0.72 Computer scienceBrain–computer interfaceMotor imageryArtificial intelligencePattern recognition (psychology)
• Region specific optimization of continuous linear attenuation coefficients based on UTE (RESOLUTE): application to PET/MR brain imaging
  The reconstruction of PET brain data in a PET/MR hybrid scanner is challenging in the absence of transmission sources, where MR images are used for MR-based attenuation correction (MR-AC). The main challenge of MR-AC is to separate bone and air, as neither hav…
  openalex Claes Nøhr Ladefoged, Didier Benoit, Ian Law, Søren Holm 等 2015-09-30 置信度 0.72 Correction for attenuationVoxelHounsfield scaleAttenuationNuclear medicine
• Dynamic brain network states in human generalized spike-wave discharges
  Generalized spike-wave discharges in idiopathic generalized epilepsy are conventionally assumed to have abrupt onset and offset. However, in rodent models, discharges emerge during a dynamic evolution of brain network states, extending several seconds before a…
  openalex Chayanin Tangwiriyasakul, Suejen Perani, María Centeno, Siti N. Yaakub 等 2018-07-28 置信度 0.72 ElectroencephalographyNeuroscienceEpilepsyIdiopathic generalized epilepsyThalamus
• Effortless retaliation: the neural dynamics of interpersonal intentions in the Chicken Game using brain–computer interface
  The desire for retaliation is a common response across a majority of human societies. However, the neural mechanisms underlying aggression and retaliation remain unclear. Previous studies on social intentions are confounded by a low-level response-related brai…
  openalex Yiwen Wang, Yuxiao Lin, Chao Fu, Zhihua Huang 等 2021-05-12 置信度 0.72 AggressionPsychologyElectroencephalographyNeural activityDynamics (music)
• Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery
  The combination of brain-computer interfaces (BCIs) with robot-assisted physical therapy constitutes a promising approach to neurorehabilitation of patients with severe hemiparetic syndromes caused by cerebrovascular brain damage (e.g. stroke) and other neurol…
  openalex Manuel Gomez-Rodriguez, Jan Peters, J. Hill, Bernhard Schölkopf 等 2011-04-08 置信度 0.72 NeurorehabilitationMotor imageryBrain–computer interfaceHaptic technologyComputer science
• The R package Rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads
  We present Rsubread, a Bioconductor software package that provides high-performance alignment and read counting functions for RNA-seq reads. Rsubread is based on the successful Subread suite with the added ease-of-use of the R programming environment, creating…
  openalex Yang Liao, Gordon K. Smyth, Wei Shi 2019-02-17 置信度 0.72 BioconductorSoftwareBiologyComputer scienceExon
• Sustained sleep fragmentation affects brain temperature, food intake and glucose tolerance in mice
  Sleep fragmentation is present in numerous sleep pathologies and constitutes a major feature of patients with obstructive sleep apnea. A prevalence of metabolic syndrome, diabetes and obesity has been shown to be associated to obstructive sleep apnea. While sl…
  openalex Maxime O. Baud, Pierre J. Magistretti, J. Petit 2012-06-26 置信度 0.72 Sleep apneaSleep (system call)EndocrinologyMedicineObstructive sleep apnea
• Implantable Pulse Generators for Deep Brain Stimulation: Challenges, Complications, and Strategies for Practicality and Longevity
  Deep brain stimulation (DBS) represents an important treatment modality for movement disorders and other circuitopathies. Despite their miniaturization and increasing sophistication, DBS systems share a common set of components of which the implantable pulse g…
  openalex Can Sarica, Christian Iorio‐Morin, David H. Aguirre‐Padilla, Ahmed Najjar 等 2021-08-26 置信度 0.72 Deep brain stimulationComputer scienceNeuromodulationBiomedical engineeringUsability
• Neurodegenerative disease of the brain: a survey of interdisciplinary approaches
  Neurodegenerative diseases of the brain pose a major and increasing global health challenge, with only limited progress made in developing effective therapies over the last decade. Interdisciplinary research is improving understanding of these diseases and thi…
  openalex Franca Davenport, John Gallacher, Zoe Kourtzi, Ivan Koychev 等 2023-01-01 置信度 0.72 Engineering ethicsDiseaseData scienceNeuroscienceManagement science
• Age-related differences in brain activity underlying identification of emotional expressions in faces
  We used fMRI to explore brain activity in young and old adults, while they viewed and labeled faces expressing different emotions as well as neutral expressions. Older adults had significantly greater difficulty identifying expressions of sadness, anger and di…
  openalex Michelle Keightley, Kimberly S. Chiew, Gordon Winocur, Cheryl L. Grady 2007-08-24 置信度 0.72 PsychologyVentromedial prefrontal cortexPrefrontal cortexBrain activity and meditationFunctional magnetic resonance imaging
• Designing peptide nanoparticles for efficient brain delivery
  openalex Aroa Duro‐Castaño, Diana M. Leite, Joe Forth, Yangwei Deng 等 2020-01-01 置信度 0.72 NanocarriersDrug deliveryNanotechnologyBlood–brain barrierComputer science
• Brain imaging with improved acceleration and SNR at 7 Tesla obtained with 64‐channel receive array
  PURPOSE: Despite the clear synergy between high channel counts in a receive array and magnetic fields ≥ 7 Tesla, to date such systems have been restricted to a maximum of 32 channels. Here, we examine SNR gains at 7 Tesla in unaccelerated and accelerated image…
  openalex Kǎmil Uǧurbil, Edward J. Auerbach, Steen Moeller, Andrea Grant 等 2019-02-25 置信度 0.72 UndersamplingElectromagnetic coilAccelerationRadiofrequency coilPhysics
• Notice of Removal March 3, 2026: Domain Adaptation and Generalization of Functional Medical Data: A Systematic Survey of Brain Data
  In spite of the excellent capabilities of machine learning algorithms, their performance deteriorates when the distribution of test data differs from the distribution of training data. In medical data research, this problem is exacerbated by its connection to …
  openalex Gita Sarafraz, Armin Behnamnia, Mehran Hosseinzadeh, Ali Balapour 等 2024-04-01 置信度 0.72 Computer scienceAdaptation (eye)GeneralizationDomain adaptationDomain (mathematical analysis)
• phytochemdb: a platform for virtual screening and computer-aided drug designing
  The phytochemicals of medicinal plants are regarded as a rich source of diverse chemical spaces that have been used as supplements and alternative medicines in the millennium. Even in this era of combinatorial chemical drugs, phytomedicines account for a large…
  openalex Shafi Mahmud, Gobindo Kumar Paul, Suvro Biswas, Taheruzzaman Kazi 等 2022-01-01 置信度 0.72 Lipinski's rule of fiveDrug discoveryComputer scienceBioavailabilityInterface (matter)
• CVT-Based Asynchronous BCI for Brain-Controlled Robot Navigation
  Brain-computer interface (BCI) is a typical direction of integration of human intelligence and robot intelligence. Shared control is an essential form of combining human and robot agents in a common task, but still faces a lack of freedom for the human agent. …
  openalex Mengfan Li, Ran Wei, Ziqi Zhang, Pengfei Zhang 等 2023-01-01 置信度 0.72 Brain–computer interfaceComputer scienceAsynchronous communicationRobotInterface (matter)
• Standardization of Neurotechnology for Brain-Machine Interfacing: State of the Art and Recommendations
  Editorial template does not require an abstract and thus one is not included herein. I would like to thank Kara for her valuable assistance in the preparation of this Editorial and accompanying articles.
  openalex Ricardo Chavarriaga, Carole Carey, José L. Contreras-Vidal, Zach McKinney 等 2021-01-01 置信度 0.72 StandardizationInterfacingComputer scienceState (computer science)Operating system
• High‐resolution SSVEP‐based brain–computer interface
  Steady‐state visual evoked potential based brain–computer interface (BCI) is now attracting growing attention for its fast and efficient information transfer rate. However, human beings show excellent response only in a limited range of frequencies. Due to the…
  openalex Shuailei Zhang, Shuai Wang, Dezhi Zheng, Kang Ma 等 2019-10-24 置信度 0.72 Brain–computer interfaceComputer scienceInformation transferBandwidth (computing)Interface (matter)
• Probiotic Supplementation Improves Cognitive Function and Mood with Changes in Gut Microbiota in Community-Dwelling Older Adults: A Randomized, Double-Blind, Placebo-Controlled, Multicenter Trial
  Probiotics have been proposed to ameliorate cognitive impairment and depressive disorder via the gut-brain axis in patients and experimental animal models. However, the beneficial role of probiotics in brain functions of healthy older adults remains unclear. T…
  openalex Chong-Su Kim, Jiah Cha, Minju Sim, Sungwoong Jung 等 2020-04-17 置信度 0.72 Bifidobacterium bifidumGut floraMoodPlaceboBifidobacterium longum
• Applications of organoid technology to brain tumors
  Lacking appropriate model impedes basic and preclinical researches of brain tumors. Organoids technology applying on brain tumors enables great recapitulation of the original tumors. Here, we compared brain tumor organoids (BTOs) with common models including c…
  openalex Jie Wen, Fangkun Liu, Quan Cheng, Nathaniel Weygant 等 2023-05-29 置信度 0.72 OrganoidBrain tumorCarcinogenesisPersonalized medicineMedicine
• A Prototype SSVEP Based Real Time BCI Gaming System
  Although brain-computer interface technology is mainly designed with disabled people in mind, it can also be beneficial to healthy subjects, for example, in gaming or virtual reality systems. In this paper we discuss the typical architecture, paradigms, requir…
  openalex Ignas Martišius, Robertas Damaševičius 2016-01-01 置信度 0.72 Brain–computer interfaceHeadsetComputer scienceSupport vector machineArtificial intelligence
• Heterogeneity of Endothelial Cells
  During embryonic development, endothelial cells differentiate from a common precursor called angioblast and acquire organ-specific properties. One of the important determinants of endothelial cell differentiation is the local environment, and especially the in…
  openalex Cecília Garlanda, Elisabetta Dejana 1997-07-01 置信度 0.72 Cell biologyEndothelial stem cellEndotheliumBiologyVasculogenesis
• Implantable Electrochemical Sensors for Brain Research
  Implantable electrochemical sensors provide reliable tools for in vivo brain research. Recent advances in electrode surface design and high-precision fabrication of devices led to significant developments in selectivity, reversibility, quantitative detection, …
  openalex Yuandong Liu, Zhichao Liu, Yi Zhou, Yang Tian 2023-06-09 置信度 0.72 Brain researchNanotechnologyComputer scienceCompatibility (geochemistry)Systems engineering
• Shared user-computer control of a robotic wheelchair system
  Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
  openalex Holly A. Yanco, Rodney A. Brooks 2000-01-01 置信度 0.72 WheelchairNavigation systemReal-time computingComputer scienceSimulation
• Nursing and human-computer interaction in healthcare robots for older people: An integrative review
  Objectives: This study examined the published works related to healthcare robotics for older people using the attributes of health, nursing, and the human-computer interaction framework. Design: An integrative literature review. Methods: A search strategy capt…
  openalex Michael Joseph S. Diño, Patricia M. Davidson, Kenneth W. Dion, Sarah L. Szanton 等 2022-03-04 置信度 0.72 CINAHLUsabilityHealth careRobotEmpathy
• Brain-machine interface learning is facilitated by specific patterning of distributed cortical feedback
  Neuroprosthetics offer great hope for motor-impaired patients. One obstacle is that fine motor control requires near-instantaneous, rich somatosensory feedback. Such distributed feedback may be recreated in a brain-machine interface using distributed artificia…
  openalex Aamir Abbasi, Henri Lassagne, Luc Estebanez, Dorian Goueytes 等 2023-09-22 置信度 0.72 NeuroprostheticsSomatosensory systemOptogeneticsBrain–computer interfaceNeuroscience
• Brain diabetic neurodegeneration segregates with low intrinsic aerobic capacity
  OBJECTIVES: Diabetes leads to cognitive impairment and is associated with age-related neurodegenerative diseases including Alzheimer's disease (AD). Thus, understanding diabetes-induced alterations in brain function is important for developing early interventi…
  openalex Joungil Choi, Krish Chandrasekaran, Tyler G. Demarest, Tibor Kristián 等 2014-08-01 置信度 0.72 NeurodegenerationEndocrinologyMedicineInternal medicineSIRT3
• Restoring Oat Nanoparticles Mediated Brain Memory Function of Mice Fed Alcohol by Sorting Inflammatory Dectin‐1 Complex Into Microglial Exosomes
  Microglia modulate pro-inflammatory and neurotoxic activities. Edible plant-derived factors improve brain function. Current knowledge of the molecular interactions between edible plant-derived factors and the microglial cell is limited. Here an alcohol-induced…
  openalex Fangyi Xu, Jingyao Mu, Yun Teng, Xiangcheng Zhang 等 2021-12-13 置信度 0.72 MicrogliaEndosomeMicrovesiclesInflammationNeuroinflammation
• Food and Medicine Homology Focus in 2026
  The field of food and medicine homology (FMH) is transitioning from traditional empirical knowledge to contemporary scientific methodologies.Commencing in 2026, this evolution will be anchored by a core tenet: fostering trust through scientific rigor, enhancin…
  openalex Mengyao Li, Gui-Fen Wu, Feng Lu, Cong Geng 等 2026-02-27 置信度 0.72 Knowledge managementData scienceIdentification (biology)Component (thermodynamics)Engineering ethics
• Using mobile brain/body imaging to advance research in arts, health, and related therapeutics
  The uses of mobile brain/body imaging (MoBI) are expanding and allow for more direct study of the neurophysiological signals associated with behavior in psychotherapeutic encounters. Neuroaesthetics is concerned with the cognitive and neural basis of art appre…
  openalex Juliet L. King, Francisco J. Parada 2021-05-17 置信度 0.72 NeuroscienceNeuroimagingPsychologyBrain researchThe arts
• Alcohol, Cocaine, and Brain Stimulation‐Reward in C57Bl6/J and DBA2/J Mice
  BACKGROUND: Pleasure and reward are critical features of alcohol drinking that are difficult to measure in animal studies. Intracranial self-stimulation (ICSS) is a behavioral method for studying the effects of drugs directly on the neural circuitry that under…
  openalex Eric W. Fish, Thorfinn T. Riday, Megan M. McGuigan, Sara Faccidomo 等 2009-10-23 置信度 0.72 Brain stimulation rewardStimulationAlcoholLateral hypothalamusBrain stimulation
• BUILDING A DATA‐MINING GRID FOR MULTIPLE HUMAN BRAIN DATA ANALYSIS
  E‐science is about global collaboration in key areas of science such as cognitive science and brain science, and the next generation of infrastructure such as the Wisdom Web and Knowledge Grids. As a case study, we investigate human multiperception mechanism b…
  openalex Ning Zhong, Jia Hu, Shinichi Motomura, Jinglong Wu 等 2005-03-23 置信度 0.72 Computer scienceData scienceInformaticsPerspective (graphical)Cognition
• Expression of a novel neuropeptide, NVGTLARDFQLPIPNamide, in the larval and adult brain of Drosophila melanogaster
  Advances in mass spectrometry and the availability of genomic databases made it possible to determine the peptidome or peptide content of a specific tissue. Peptidomics by nanoflow capillary liquid chromatography tandem mass spectrometry of an extract of 50 la…
  openalex Peter Verleyen, Geert Baggerman, U. I. M. Wiehart, E. Schoeters 等 2003-12-15 置信度 0.72 BiologyDrosophila melanogasterFMRFamideNeuropeptideImmunocytochemistry
• Deep learning in medical image registration: a review
  This paper presents a review of deep learning (DL)-based medical image registration methods. We summarized the latest developments and applications of DL-based registration methods in the medical field. These methods were classified into seven categories accor…
  openalex Yabo Fu, Yang Lei, Tonghe Wang, Walter J. Curran 等 2020-03-27 置信度 0.72 PopularityImage registrationBenchmark (surveying)Computer scienceDeep learning
• Evolving Applications, Technological Challenges and Future Opportunities in Neuromodulation: Proceedings of the Fifth Annual Deep Brain Stimulation Think Tank
  The annual Deep Brain Stimulation (DBS) Think Tank provides a focal opportunity for a multidisciplinary ensemble of experts in the field of neuromodulation to discuss advancements and forthcoming opportunities and challenges in the field. The proceedings of th…
  openalex Adolfo Ramirez‐Zamora, James J. Giordano, Aysegul Gunduz, Peter Brown 等 2018-01-23 置信度 0.72 NeuromodulationDeep brain stimulationNeuroscienceBrain stimulationStimulation
• Soft Wireless Headband Bioelectronics and Electrooculography for Persistent Human–Machine Interfaces
  Recent advances in wearable technologies have enabled ways for people to interact with external devices, known as human-machine interfaces (HMIs). Among them, electrooculography (EOG), measured by wearable devices, is used for eye movement-enabled HMI. Most pr…
  openalex Seunghyeb Ban, Yoon Jae Lee, Shinjae Kwon, Yun‐Soung Kim 等 2023-02-08 置信度 0.72 Wearable computerElectrooculographyBioelectronicsComputer scienceArtificial intelligence
• DrugBank 4.0: shedding new light on drug metabolism
  DrugBank (http://www.drugbank.ca) is a comprehensive online database containing extensive biochemical and pharmacological information about drugs, their mechanisms and their targets. Since it was first described in 2006, DrugBank has rapidly evolved, both in r…
  openalex Vivian Law, Craig Knox, Yannick Djoumbou-Feunang, Tim Jewison 等 2013-11-06 置信度 0.72 DrugBankIn silicoDrugDrug metabolismDrug discovery
• Phantom motion intent decoding for transhumeral prosthesis control with fused neuromuscular and brain wave signals
  Abstract In recent years, the electroencephalography (EEG) brain–computer interface (BCI) has been researched in the area of upper‐limb prosthesis control due to the promise of being able to record neurological signals which follow activation patterns in the c…
  openalex Ejay Nsugbe, Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, Guanglin Li 2021-03-01 置信度 0.72 ElectroencephalographyBrain–computer interfaceDecoding methodsComputer scienceNeuroprosthetics
• Miniature microscopes for manipulating and recording in vivo brain activity
  Here we describe the development and application of miniature integrated microscopes (miniscopes) paired with microendoscopes that allow for the visualization and manipulation of neural circuits in superficial and subcortical brain regions in freely behaving a…
  openalex Alice M. Stamatakis, Shanna L. Resendez, Kai-Siang Chen, Morgana Favero 等 2021-07-20 置信度 0.72 OptogeneticsComputer scienceBiological neural networkNeuroscienceArtificial intelligence
• Neurokernel: An Open Source Platform for Emulating the Fruit Fly Brain
  We have developed an open software platform called Neurokernel for collaborative development of comprehensive models of the brain of the fruit fly Drosophila melanogaster and their execution and testing on multiple Graphics Processing Units (GPUs). Neurokernel…
  openalex Lev E. Givon, Aurel A. Lazar 2016-01-11 置信度 0.72 Computer scienceEmulationOn the flySoftwareDrosophila melanogaster
• Network ‘Small-World-Ness’: A Quantitative Method for Determining Canonical Network Equivalence
  BACKGROUND: Many technological, biological, social, and information networks fall into the broad class of 'small-world' networks: they have tightly interconnected clusters of nodes, and a shortest mean path length that is similar to a matched random graph (sam…
  openalex Mark D. Humphries, Kevin Gurney 2008-04-29 置信度 0.72 Small-world networkAverage path lengthCategorical variableComputer sciencePath length
• Review on EEG‐Based Authentication Technology
  With the rapid development of brain-computer interface technology, as a new biometric feature, EEG signal has been widely concerned in recent years. The safety of brain-computer interface and the long-term insecurity of biometric authentication have a new solu…
  openalex Shuai Zhang, Lei Sun, Xiuqing Mao, Cuiyun Hu 等 2021-01-01 置信度 0.72 BiometricsComputer scienceAuthentication (law)ElectroencephalographyComputer security
• Neural Correlates of Face and Object Recognition in Young Children with Autism Spectrum Disorder, Developmental Delay, and Typical Development
  This study utilized electroencephalographic recordings to examine whether young children with autism spectrum disorder (ASD) have impaired face recognition ability. High-density brain event-related potentials (ERPs) were recorded to photos of the child's mothe…
  openalex Géraldine Dawson, Leslie J. Carver, Andrew N. Meltzoff, Heracles Panagiotides 等 2002-05-01 置信度 0.72 PsychologyAutism spectrum disorderAutismDevelopmental psychologyElectroencephalography
• Decoding vowels and consonants in spoken and imagined words using electrocorticographic signals in humans
  Several stories in the popular media have speculated that it may be possible to infer from the brain which word a person is speaking or even thinking. While recent studies have demonstrated that brain signals can give detailed information about actual and imag…
  openalex Xiaomei Pei, Dennis L. Barbour, Eric C. Leuthardt, Gerwin Schalk 2011-07-13 置信度 0.72 ElectrocorticographyComputer scienceSpeech recognitionDecoding methodsSpoken language
• Optimized multi-electrode stimulation increases focality and intensity at target
  Transcranial direct current stimulation (tDCS) provides a non-invasive tool to elicit neuromodulation by delivering current through electrodes placed on the scalp. The present clinical paradigm uses two relatively large electrodes to inject current through the…
  openalex Jacek Dmochowski, Abhishek Datta, Marom Bikson, Yuzhuo Su 等 2011-06-10 置信度 0.72 ElectrodeNeuromodulationTranscranial direct-current stimulationIntensity (physics)Electric field
• Code for Sensory-Guided Joint Learning in Motor Imagery Brain-Computer Interfaces
  This is the public release of the custom code associated with the Nature Communications 2026 study: Hanwen Wang, Yisha Zhang, Maxim Karrenbach, Yidan Ding, Bin He. A sensory-guided human–machine joint learning framework for motor imagery brain–computer interfa…
  openalex Melvin Hanwen Wang, Yisha Zhang, Maxim Karrenbach, Yidan Ding 等 2026-05-31 置信度 0.72 Code (set theory)Computer scienceJoint (building)Software engineeringSource code
• Involvement of Lipids in Alzheimer’s Disease Pathology and Potential Therapies
  Lipids constitute the bulk of the dry mass of the brain and have been associated with healthy function as well as the most common pathological conditions of the brain. Demographic factors, genetics, and lifestyles are the major factors that influence lipid met…
  openalex Hannah Chew, Victoria Solomon, Alfred N. Fonteh 2020-06-09 置信度 0.72 Lipid metabolismApolipoprotein EInflammationBiologyNeuroscience
• Transient brain networks underlying interpersonal strategies during synchronized action
  Interpersonal coordination is a core part of human interaction, and its underlying mechanisms have been extensively studied using social paradigms such as joint finger-tapping. Here, individual and dyadic differences have been found to yield a range of dyadic …
  openalex Ole Adrian Heggli, Ivana Konvalinka, Joana Cabral, Elvira Brattico 等 2020-04-20 置信度 0.72 PsychologyTransient (computer programming)Action (physics)Interpersonal communicationNeuroscience
• SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence
  Spiking neural networks (SNNs) aim to realize brain-inspired intelligence on neuromorphic chips with high energy efficiency by introducing neural dynamics and spike properties. As the emerging spiking deep learning paradigm attracts increasing interest, tradit…
  openalex Wei Fang, Yanqi Chen, Jianhao Ding, Zhaofei Yu 等 2023-10-06 置信度 0.72 Neuromorphic engineeringSpiking neural networkComputer scienceSpike (software development)Artificial intelligence
• Large image datasets: A pyrrhic win for computer vision?
  In this paper we investigate problematic practices and consequences of large scale vision datasets. We examine broad issues such as the question of consent and justice as well as specific concerns such as the inclusion of verifiably pornographic images in data…
  openalex Vinay Uday Prabhu, Abeba Birhane 2020-06-24 置信度 0.72 CensusComputer scienceClass (philosophy)Economic JusticeFace (sociological concept)
• A CMOS-based highly scalable flexible neural electrode interface
  Perception, thoughts, and actions are encoded by the coordinated activity of large neuronal populations spread over large areas. However, existing electrophysiological devices are limited by their scalability in capturing this cortex-wide activity. Here, we de…
  openalex Eric T. Zhao, Jacob M. Hull, Nofar Mintz Hemed, Hasan Uluşan 等 2023-06-07 置信度 0.72 ElectrodeMicroelectrodeMaterials scienceMicrofabricationOptoelectronics
• Brain Plasticity following Intensive Bimanual Therapy in Children with Hemiparesis: Preliminary Evidence
  Neuroplasticity studies examining children with hemiparesis (CH) have focused predominantly on unilateral interventions. CH also have bimanual coordination impairments with bimanual interventions showing benefits. We explored neuroplasticity following hand-arm…
  openalex M A Weinstein, Vicki Myers, Dido Green, Mitchell Schertz 等 2015-01-01 置信度 0.72 NeuroplasticityCorticospinal tractCorpus callosumDiffusion MRIWhite matter
• Pure Conducting Polymer Hydrogels Increase Signal‐to‐Noise of Cutaneous Electrodes by Lowering Skin Interface Impedance
  Cutaneous electrodes are routinely used for noninvasive electrophysiological sensing of signals from the brain, the heart, and the neuromuscular system. These bioelectronic signals propagate as ionic charge from their sources to the skin-electrode interface wh…
  openalex Sebastian Roubert Martinez, Paul Le Floch, Jia Liu, Robert D. Howe 2023-03-03 置信度 0.72 Materials scienceElectrodeConductive polymerSelf-healing hydrogelsNoise (video)
• The lack of temporal brain dynamics asymmetry as a signature of impaired consciousness states
  Life is a constant battle against equilibrium. From the cellular level to the macroscopic scale, living organisms as dissipative systems require the violation of their detailed balance, i.e. metabolic enzymatic reactions, in order to survive. We present a fram…
  openalex Elvira G-Guzmán, Yonatan Sanz Perl, Jakub Vohryzek, Anira Escrichs 等 2023-04-14 置信度 0.72 Dynamics (music)ConsciousnessSignature (topology)AsymmetryComputer science
• A Roadmap for Reaching the Potential of Brain‐Derived Computing
  Neuromorphic computing is a critical future technology for the computing industry, but it has yet to achieve its promise and has struggled to establish a cohesive research community. A large part of the challenge is that full realization of the potential of br…
  openalex James B. Aimone 2020-11-16 置信度 0.72 Neuromorphic engineeringComputer scienceComputer architectureTechnology roadmapCMOS