Identifying Explainable and Generalizable Features for MEG Decoding

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: May 4, 2025

Abstract Sensory neural coding, the brain’s process of transforming inputs into informative patterns activity, generates complex and multiplexed codes which are hard to interpret. Although decoding methods have facilitated interpretation these codes, specific features activity that generalize across individuals, along with their precise timing, largely remain elusive. To address this gap, we investigated potential interpretable time-series in magnetoencephalography (MEG) for visual stimulus attributes (spatial frequency orientation) generalizability individuals. We extracted a comprehensive set highly from 18 subjects engaged task performed time-resolved analysis. Our findings revealed particular features, especially those capturing rapid changes within first 200 milliseconds presentation, yielded high accuracy. Notably, early, transient exhibited robust cross-subject generalizability, suggesting shared coding mechanism during initial processing inputs. Furthermore, outperformed previously successful electroencephalography (EEG) wavelet when applied MEG data. While within-subject demonstrated sustained above-chance performance, generalization diminished after milliseconds, indicating more individualized at later stages. results underscore importance systematic, data-driven evaluation signals elucidating developing transparent generalizable Brain-Computer Interface (BCI) systems capitalize on reliable signatures.

Language: Английский

The role of beta bursts in top-down inhibition of somatosensory cortex: an OPM-MEG study

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: May 7, 2024

Human brain electrophysiology is characterised by rhythmic activity – neural oscillations which play an important role in coordinating function. In the somatosensory cortices, dominant occur beta (13-30 Hz) band and are thought to mediate top-down inhibition of primary cortices. The non-invasive measurement such has traditionally been made possible using either electroencephalography (EEG) or magnetoencephalography (MEG), yet both modalities have significant limitations. Here, we use a new MEG technology based on optically pumped magnetometers (OPM-MEG) measure attentional modulation cortex. Using piezo-electric crystal stimulators, present ‘braille-like’ patterns left right index fingers; participants asked respond pre-specified target presented attended hand, whilst ignoring their non-attended hand. agreement with previous findings, significantly decreased amplitude during stimuli relative baseline, stimuli, most pronounced effect cue. Moreover, extend our analyses demonstrate that attention similar occurrence pan-spectral bursts (which shown underlie rhythm). Specifically, changes probability burst cortices time window related shifts. sum, results provide evidence driven add weight argument OPM-MEG technique choice for electrophysiological measurements.

Language: Английский

EEG in Education: A Scoping Review of Hardware, Software, and Methodological Aspects

Sensors, Journal Year: 2024, Volume and Issue: 25(1), P. 182 - 182

Published: Dec. 31, 2024

Education is an activity that involves great cognitive load for learning, understanding, concentrating, and other high-level tasks. The use of the electroencephalogram (EEG) brain imaging techniques in education has opened scientific field neuroeducation. Insights about mechanisms involved learning assistance evaluation optimization methodologies according to student responses main target this field. Being a multidisciplinary field, neuroeducation requires expertise various fields such as education, neuroinformatics, psychology, science, neuroscience. need comprehensive guide where important issues are presented examples their application research projects given apparent. This paper presents overview current hardware software options, discusses methodological issues, gives best practices found recent literature. These were selected by applying PRISMA statement results returned searching PubMed, Scopus, Google Scholar with keywords “EEG neuroeducation” published last six years (2018–2024). Apart from basic background knowledge, two questions regarding aspects (experimental settings used) subject type information used EEG signals addressed discussed.

Language: Английский