Ole B. Jensen

The paper investigates age-related changes in audiovisual integration during speech comprehension using MEG and finds preserved neural mechanisms but altered behavioral links in older adults.

This study shows that parafoveal priming reduces neural response and enhances object category decoding, suggesting neural sharpening during visual exploration.

The paper investigates how cortico-cerebellar beta-band dynamics predict flexible motor timing during a context-dependent task.

The paper examines how asymmetry in subcortical brain structures relates to cortical oscillatory power in resting-state MEG data from healthy adults.

This study uses MEG to track ripple-like activity during human sleep, showing its association with memory consolidation and reactivation.

This study shows that modulating visual stimuli with task-relevant speech improves speech comprehension in adverse conditions by enhancing audiovisual interaction.

OPM-FLUX provides a standardized analysis pipeline for OPM-MEG data, improving reproducibility and comparability across platforms and promoting consistent methodological practices.

The paper shows that statistical learning reduces attentional capture by directing anticipatory micro-saccades toward high-probability distractor locations, supporting a reactive suppression mechanism.

The paper finds that leftward putamen asymmetry predicts pseudoneglect, a leftward attentional bias in healthy individuals, linking subcortical structure to spatial attention.

The paper investigates how the brain maintains and retrieves words during language comprehension, finding that memory is activity-silent and structured, with reactivation in specific brain regions.

This study uses MEG and decoding analysis to show that predictable distractors are proactively suppressed in the brain, with neural activity extending from pre- to post-search phases, indicating integrated attentional mechanisms.

This study shows rhythmic light stimulation elicits multiple neural responses at different frequencies that separately affect perception, with implications for neuromodulatory techniques.

The paper shows saccade-based grid-like codes in the entorhinal cortex during scene image study, linked to recognition memory performance.

This study compares decoding accuracy of visual processing using optically pumped magnetometer (OPM) and superconducting quantum interference device (SQUID) based magnetoencephalography (MEG) systems with multivariate pattern analysis (MVPA).

The paper investigates how orthographic and semantic parafoveal information is processed during reading, finding faster processing of orthographic neighbors in the visual word form area and semantic neighbors in the left inferior frontal gyrus, which correlates with reading speed.

The paper investigates neural resonance in the infant visual system, finding a 4Hz theta rhythm independent of stimulation frequency, contrasting with the 10Hz alpha rhythm in adults.

This study shows higher baseline alpha power is linked to faster visual search performance, challenging the idea that alpha oscillations reduce visual processing.

This study investigates how lexical frequency affects attention allocation during reading using MEG and eye tracking, finding simultaneous attention to target and post-target words and effects of word frequency on attention distribution.

This study shows that theta oscillations in the neocortex and hippocampus integrate and replay audiovisual speech memories, with reduced accuracy when speech is perceived asynchronously.

The paper investigates differential neural mechanisms underlying cortical gating of visual spatial attention using intracranial EEG data from epilepsy patients, revealing distinct alpha-band oscillation patterns for target enhancement and distractor suppression.

The paper shows that guided visual search enhances neuronal excitability to target features and reduces it to distractors in early visual cortex using MEG and RIFT.

This paper optimizes magnetometer arrays and analysis pipelines for multivariate pattern analysis, finding that 30 sensors are sufficient and advising against signal space separation filters.

This paper introduces an artificial neural network with oscillatory dynamics to convert simultaneous inputs into a temporal code, improving classification of competing stimuli.

This study investigates how subcortical structures' hemispheric asymmetries predict alpha oscillation modulations during spatial attention tasks with varying perceptual loads.

The paper uses MEG and eye-tracking to show that feature and category information from parafoveal objects is decoded before and after saccades, supporting natural visual exploration.

The paper uses cross-decoding of MEG data to show semantic activation for pictures occurs around 150 ms and for words around 230 ms.

This study shows that semantic information from parafoveal words is integrated with sentence context before fixation, supporting rapid reading by revealing reduced brain responses to incongruent words.

This study identifies optimal parameters for rapid invisible frequency tagging (RFT) using MEG, showing that stimulation frequency, patch size, and position significantly affect brain responses.

This study shows that imperceptible 65Hz sensory stimulation enhances episodic memory recall by entraining endogenous 32.5Hz oscillations, while perceptible 32.5Hz and 43.3Hz stimulation do not have the same effect.

A preregistered multimodal neuroimaging study across 256 human participants directly tests Integrated Information Theory against Global Neuronal Workspace Theory, confirming some predictions while revealing major empirical challenges for both.