Brain Noise, Not Wiring, May Explain Why Neural Spectra Shift With Brain State
A new theoretical study shows that noise-like fluctuations in neural activity can shift the spectral knee and 1/f power spectrum ...
Tag: EEG
Just 15 Minutes a Day: Brief Mindfulness Meditation Rewires the Brain’s Attention Networks
A new npj Science of Learning study shows that just 18 days of 15-minute daily mindfulness meditation enhances the brain's ...
Brainwaves That Say ‘Not What I Meant’: AI Learns to Read Unspoken Corrections
KAIST and Microsoft Research Asia have developed Neural Value Alignment, a brain–computer interface technology that decodes EEG signals to detect ...
Brainwaves and Video Reveal How Students Really Engage in Group Science Work
A multimodal study combining EEG and video microanalysis shows that high school students cycle between engaged, off-task, and idle states ...
Aging Brains Work Harder to Answer the Question: Who Am I?
A new EEG study reveals that older adults show weaker directed brain connectivity and reduced early attentional responses, yet amplified ...
Brain-Computer Interface Feedback Teaches the Brain to Spot Tiny Movement Errors
A five-day brain-computer interface training protocol that feeds back the brain's own error-related potentials significantly improves people's ability to detect ...
Topology Meets the Brain: New Algorithm Detects Mental States in EEG Without Labels
Researchers have developed an unsupervised algorithm that uses topological data analysis to detect functional stages in EEG recordings from meditation ...
A Simple Scaling Step Makes or Breaks AI That Reads Brain Signals for Movement
A systematic study shows that Z-score normalization, applied after artifact removal, is essential for Transformer models to decode movement from ...
Mindfulness Meets Magic Mushrooms: USC Trials Psilocybin Therapy for Depression
USC researchers have launched an ARPA-H-funded clinical trial testing whether an eight-week mindfulness training program can enhance and sustain the ...
Brain Waves and Machine Learning Join Forces to Tell Alzheimer’s and FTD Apart
A new explainable machine learning framework combining EEG signals with clinical data distinguishes Alzheimer's disease from frontotemporal dementia with 89.8 ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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