Brain Signals Stay Steady in Repeated Testing, Study Finds
Event-related potentials, or ERPs, are among the most powerful tools in human neuroscience. Recorded through electrodes on the scalp, these ...
Tag: EEG
Wearable Sensors in Real Cockpits Reveal How Far Pilot Stress Monitoring Can Actually Go
The first synchronized multimodal wearable dataset collected during real general-aviation flight shows heart rate and eye movements genuinely track pilot ...
Mind and Muscle Together: Hybrid Brain–Body Signals Drive a Walking Exoskeleton in Real Time
A hybrid EEG–EMG decoder using a BiLSTM network triggered lower-limb exoskeleton assistance faster and more accurately than either signal alone ...
Sliding Windows and Fourier Decomposition Give Brain-Computer Interfaces a Lightweight Edge
Researchers in India have built a lightweight brain-computer interface framework that combines sliding-window segmentation, Fourier decomposition, and a compact neural ...
Opening the Black Box: How Explainable AI Could Transform Schizophrenia Care
A sweeping systematic review maps how explainable artificial intelligence is being applied to schizophrenia diagnosis, prognosis, and monitoring, and outlines ...
Breathing In or Out Rewires the Brain-Heart Dialogue, Study Finds
A controlled-breathing study shows that inhale-holds and exhale-holds push cortical activity and heart rate into distinct dynamical regimes, revealing respiration ...
Scientists Can Now Read Trust in the Human Brain as It Rises and Falls in Real Time
A new EEG-based non-linear state-space model continuously infers trust in autonomous systems during a space-relevant supervisory task, outperforming linear and ...
Schizophrenia and Autism Read Faces Differently: Opposite Brain Signatures Behind a Shared Impairment
Simultaneous eye-tracking and EEG reveal that schizophrenia and autism produce nearly mirror-opposite physiological signatures in the early visual system despite ...
Zapping the Ear to Boost the Brain: Vagus Nerve Stimulation Shows Glimmer of Cognitive Gains
A new trial suggests that stimulating the vagus nerve through the ear may sharpen performance on adaptive cognitive training and ...
Your Brain Knows When the Robot Messes Up: EEG Error Signals Could Transform Human-Robot Teamwork
A systematic review of thirteen studies shows that brain signals called error-related potentials can be decoded to help robots detect ...
Brain-Reading Headsets in Classrooms Demand Built-In Ethical Rules, Researchers Warn
Researchers propose a 15-safeguard governance framework to protect children as brain-computer interfaces spread from laboratories into classrooms worldwide.
Who Can Touch Your Brain? 26-Country Survey Exposes Gaps in Neurotechnology Rules
A systematic survey of 26 countries finds consistent professional roles for EEG and MRI but a striking absence of national ...
Cheap Robots and AI Are Quietly Rewriting Rehabilitation Medicine
A new review showcases how low-cost robotic canes, AI-based diabetic foot screening, and simple EEG analysis tested in real-world clinical ...
The Silent Threat in the Control Tower: How AI Is Racing to Catch Fading Attention Before Planes Collide
A new systematic review of 34 studies reveals that while AI models can predict vigilance decrements in air traffic controllers ...
Self-Supervised Transformer Reads Resting-State EEG to Detect Alzheimer’s Disease With 96.42% Accuracy
Alzheimer's disease affects tens of millions of people worldwide, and the World Health Organization estimates that over 55 million people ...
Neuromarketing and the Gaming Consumer: What 54 Studies Reveal About Attention, Emotion, and Memory in Player Retention
A systematic review of 54 studies finds that neuromarketing tools reliably capture player attention and engagement, but evidence that they ...
The Order of EEG Preprocessing Steps Can Permanently Distort Brain Networks
A new study shows that re-referencing EEG signals before filtering creates irreversible artificial brain correlations, particularly in deep sleep and ...
Attention-Powered AI Reads Brain Waves to Spot Seizures With 98.8% Accuracy
A hybrid CNN-BiLSTM model with multi-head self-attention classifies five EEG brain states, including seizures, with 98.83 percent accuracy on a ...
Brain Signals of Stopping Are Shaped by Task History and Timing, EEG Study Reveals
A new EEG study shows that stop signal delays and local trial sequences systematically shape the N2 and P3 brain ...
AI Reads Brain Waves and Explains Itself: New Framework Turns EEG Signals Into Plain-Language Depression Clues
A new evidence-guided framework called E-MDD combines deep EEG representations, neurophysiological biomarkers, and a constrained large language model to detect ...
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