Neurotech Research Papers — Free Preview
Recently published neuroscience and BCI research, with journal, authors and a short preview of the AI summary. Showing the 24 most recent of 159 tracked.
Latest research papers
- Nature CommunicationsJul 16, 2026Nature Communications
Sensory-Guided Joint Learning Framework Enables Rapid Motor-Imagery BCI Control in Untrained Users
This paper introduces a novel AI framework that significantly reduces the training time for motor-imagery Brain-Computer Interfaces (BCIs) to just minutes for untrained users, achieving rapid and reliable control through sensory-guided joint learning. This…
Read the preview - Metabolic Brain DiseaseJun 22, 2026Metabolic Brain Disease
Smart sensing the spectrum: cutting-edge biosensor and biomarker approaches for early autism detection
This review examines emerging biosensor and biomarker technologies for early autism spectrum disorder detection. The authors discuss proteomic, metabolomic, and neurophysiological biomarkers detectable in blood, saliva, and other tissues that could enhance…
Read the preview - Brain StimulationJun 22, 2026Brain Stimulation
Parametric optimization of transcranial focused ultrasound neuromodulation of the periaqueductal grey for blood pressure reduction
This study optimized parameters for transcranial focused ultrasound neuromodulation targeting the periaqueductal gray for blood pressure control in resistant hypertension. The research identified optimal stimulation parameters for achieving clinically…
Read the preview - Scientific ReportsJun 19, 2026Scientific Reports
Predictability of sleep slow oscillation emergence and spatial extent from pre-onset neural dynamics
Using high-density EEG from 29 healthy adults, this study examined neural dynamics preceding sleep slow oscillation onset to predict their spatial extent. The findings reveal pre-onset patterns that could enable closed-loop intervention targeting sleep…
Read the preview - Computers in Biology and MedicineJun 18, 2026Computers in Biology and Medicine
Dynamic wavelet-based augmentation for enhanced EEG-based imagined speech classification
This paper introduces a dynamic wavelet-based data augmentation method for imagined speech decoding using EEG. The approach addresses limited training data challenges in EEG-based speech BCI by generating synthetic samples that preserve spectral-temporal…
Read the preview - Scientific ReportsJun 18, 2026Scientific Reports
Decoding concealed information using multimodal neurophysiological signals
This study developed a multimodal framework combining EEG and peripheral physiological signals for concealed information detection. 2% accuracy, significantly outperforming unimodal EEG (73%) or physiological signals alone.
Read the preview - Nature MedicineJun 15, 2026Nature Medicine
Activity-Aware Deep Brain Stimulation Targets Parkinson's Gait Problems Separately From Tremor
Researchers at EPFL and Lausanne University Hospital, led by Eduardo Moraud, found that the subthalamic nucleus encodes which specific daily activity a person with Parkinson's disease is doing (sitting, standing, walking, avoiding obstacles) through…
Read the preview - Nature MedicineJun 15, 2026
Man With ALS Uses At-Home Brain-Computer Interface for Nearly Two Years Without Researcher Support
A UC Davis-led team, in collaboration with Brown University and Mass General Brigham, reported in Nature Medicine that a man with severe paralysis and dysarthria from ALS independently used an intracortical brain-computer interface at home for nearly two…
Read the preview - Biomedical Physics and Engineering ExpressJun 15, 2026Biomedical Physics and Engineering Express
Large language models integrated into brain-computer interfaces for communication and control: a systematic review
This systematic review examines how large language models are being integrated into brain-computer interfaces to improve communication and control capabilities. The authors analyze hardware configurations, decoding pipelines, LLM architectures, prompting…
Read the preview - Nature NeuroscienceJun 9, 2026Nature Neuroscience
Aligning BCI Training With the Brain's Natural Geometry Speeds Up Learning
A Yale team led by Erica Busch, with corresponding authors Nicholas Turk-Browne and Smita Krishnaswamy, found that non-invasive brain-computer interfaces work much better when their training targets match the brain's own underlying organization. Using…
Read the preview - BMJ OpenJun 9, 2026BMJ Open
Transcutaneous auricular vagus nerve stimulation for moderate to severe chronic prostatitis/chronic pelvic pain syndrome (TASC-P) in China: study protocol for a randomised controlled trial
This article describes the protocol for the TASC-P trial, a randomized controlled trial evaluating transcutaneous auricular vagus nerve stimulation for chronic prostatitis and chronic pelvic pain syndrome. The trial aims to enroll participants across…
Read the preview - Frontiers in Human NeuroscienceJun 5, 2026Frontiers in Human Neuroscience
Linking EEG markers of oscillopathy and default mode network dysfunction in Alzheimer's disease
This review examines the connection between EEG oscillopathic markers and default mode network dysfunction in Alzheimer's disease. The authors discuss how artificial intelligence applied to multimodal datasets could transform EEG oscillopathy markers into…
Read the preview - Nature MedicineJun 4, 2026Nature Medicine
Cervical Spinal Cord Stimulation Immediately Improves Arm Movement Years After Stroke
A University of Pittsburgh and Carnegie Mellon team, co-led by Douglas Weber and Marco Capogrosso, completed a pilot trial implanting epidural stimulation leads in the neck to treat chronic arm weakness after stroke, in seven participants whose strokes…
Read the preview - IEEE Open Journal of Engineering in Medicine and BiologyMay 25, 2026IEEE Open Journal of Engineering in Medicine and Biology
An Improved Beta Burst Extraction for Chip-Based Deep Brain Stimulation With Real-Time Model Updating
Researchers developed a computationally efficient beta burst detection algorithm for closed-loop deep brain stimulation that enables real-time model updating on implantable chip-based devices. The system reduces computational complexity while maintaining…
Read the preview - PL NeuroMay 6, 2026PL Neuro Research Report
The BCI-AI era: data flywheels, foundation models, and platform opportunities for neural interface startups
Protocol Labs PL Neuro published an analysis of how rapid advances to BCI data flywheels and business models are unlocking upmarket applications and platform opportunities for neural interface startups. The paper identifies three converging trends: (1)…
Read the preview - Conference ProceedingsMay 5, 2026Conference Proceedings — g.tec Spring School 2026
Restoring rapid natural bimanual typing with a neuroprosthesis after paralysis
MGH researcher Justin Jude presented data on a neural prosthetic system enabling paralyzed individuals to restore rapid bimanual typing at speeds approaching natural computer use. The system decodes intended keystrokes from intracortical neural signals…
Read the preview - GlobeNewswire / CVRxMay 4, 2026JACC: Heart Failure
CVRx Barostim BENEFIT-HF rationale: expanding baroreflex activation therapy from LVEF ≤35% to ≤50% heart failure
CVRx published the scientific rationale for BENEFIT-HF — the 2,500-patient randomized controlled trial expanding Barostim baroreflex activation therapy from the current heart failure indication (LVEF ≤35%) to an expanded population including patients with…
Read the preview - GlobeNewswire / CorTecApr 29, 2026Pending — Nature Medicine
Fully implanted closed-loop BCI enables both therapeutic cortical stimulation and thought-based computer control in the same stroke patient
CorTec published first-in-world results from the University of Washington Brain Interchange trial demonstrating that a single fully implanted, wireless BCI system delivered both therapeutic cortical stimulation for stroke motor rehabilitation AND…
Read the preview - Business WireApr 29, 2026Pending — Nature Biomedical Engineering
Fleuron ultra-soft iBCI achieves stable neural recordings in 11 patients — Mass General Brigham cortical mapping results
Axoft published clinical results from their growing first-in-human program: stable high-density neural recordings from Fleuron ultra-soft probes in 11 patients across three clinical sites including Mass General Brigham. Recordings demonstrated: reliable…
Read the preview - PubMedApr 25, 2026Psychological Bulletin
Non-invasive brain stimulation enhances working memory in healthy adults: meta-analysis of 117 RCTs
47). Effects were largest for multi-session tDCS protocols targeting dorsolateral prefrontal cortex.
Read the preview - PubMedApr 23, 2026Brain
Portable OPM-MEG detects interictal epileptiform discharges equivalent to SQUID-MEG
A head-to-head comparison of optically pumped magnetometer MEG and conventional SQUID-MEG in 24 epilepsy patients found equivalent sensitivity for interictal epileptiform discharge detection (88% vs 86%) with OPM-MEG also identifying 23% more discharges…
Read the preview - Centre for Governance of AIApr 20, 2026CfG Policy Report
Europe needs new regulatory framework for wellness neurotech devices — policy analysis and recommendations
A policy analysis published by the Centre for Governance of AI (CfG) examined the regulatory gap for consumer wellness neurotechnology devices in Europe — EEG headbands, neurostimulation wearables, and neural feedback apps that claim health benefits but…
Read the preview - Business Wire / INBRAINApr 20, 2026Pending — Journal of Neural Engineering
Graphene cortical interface demonstrates superior signal fidelity to metal electrodes in human intraoperative study
INBRAIN Neuroelectronics and University of Manchester researchers report data from the first eight patients implanted with graphene cortical interfaces during brain tumor resection (NCT06368310). The ultra-thin, flexible graphene electrodes captured neural…
Read the preview - PubMedApr 19, 2026Brain
Exoskeleton-assisted gait training with real-time EEG feedback accelerates stroke recovery
A 12-week RCT of 84 subacute stroke patients compared EEG-driven lower limb exoskeleton training (activating only when motor intention detected) versus conventional exoskeleton training. 1x greater improvement in Fugl-Meyer lower extremity scores and…
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