Andreas Karl Engel

The paper uses PID to analyze how stimulus information is distributed and shared across cortical networks in ferrets during perceptual decisions, finding that faster decisions involve more redundant information across functionally coupled sites.

This paper shows that dual-site amplitude-modulated tACS can causally modulate interhemispheric amplitude coupling in the human brain, with effects dependent on stimulation parameters.

This study shows that delta-band oscillatory sensory stimulation improves temporal prediction performance in visual and auditory tasks, but not in tactile tasks, highlighting the importance of phase alignment between sensory input and neural oscillations.

This paper introduces a low-rank tensor decomposition framework for cross-bispectral EEG data, enabling structured and interpretable analysis of brain interactions.

This study identifies prefrontal cortex involvement in compensatory mechanisms for speech-in-noise comprehension in older adults using inter-brain neural coupling analysis.

The paper investigates neural oscillations during audiovisual sequence prediction, finding theta-band coupling and beta power patterns linked to prediction accuracy and cross-frequency interactions.

This study shows that high-amplitude oscillatory events coordinate large-scale cortical networks during decision-making and attention, revealing a new mechanism for dynamic brain function.

This study uses information-theoretic measures to quantify the sensorimotor contingencies in social synchronization tasks and links them to subjective experiences of synchronicity and creativity.

The paper introduces a method to localize interacting sources from EEG and MEG data by maximizing source-to-sensor coupling, which is faster and more statistically powerful than conventional approaches.

This study examines how STN-DBS affects temporal prediction in Parkinson's disease patients, showing improved performance and changes in beta and delta oscillations.

This study investigates neural correlates of tactile-to-visual temporal prediction using MEG, finding increased delta ITPC during prediction and its correlation with prediction consistency.

The paper shows that dynamic changes in large-scale functional connectivity before a task predict performance in an audiovisual detection task in ferrets.

This study uses delta tACS to investigate how phase-specific modulation of brain oscillations affects temporal prediction accuracy in a unimodal task.

The paper introduces the BallGame paradigm to study social engagement, finding that coordination success and view similarity predict social experience.

The paper develops bias correction methods for Partial Information Decomposition (PID) in neural data, improving estimates of synergy and redundancy in mouse brain regions.

The paper investigates causal interactions between phase and amplitude coupling in cortical networks using ECoG and MEG data, finding bidirectional or unidirectional information transmission depending on frequency bands.

The paper measures brain irreversibility in ferrets during different behavioral states to reveal functional hierarchies in cortical dynamics.

The paper examines how noise affects neural tracking of acoustic and semantic speech features during naturalistic speech comprehension, finding that semantic processing leads and is linked to comprehension performance.

This study shows that neural coupling between speakers and listeners occurs before speech onset and correlates with comprehension, suggesting predictive attentional mechanisms.

This study uses tACS to modulate alpha oscillations in premotor cortex and shows it affects visual contrast perception by altering psychometric slope parameters.

The paper applies personalized alpha-tACS to the left parietal cortex and finds it enhances left hemifield attention and reduces posterior EEG lateralization.

The paper investigates the relationship between intrinsic coupling modes (ICMs) in brain activity and structural connectivity in the ferret brain, showing strong correlations except when zero-lag synchronizations are removed.

This study examines changes in oscillatory and aperiodic neuronal activity in working memory after anaesthesia and finds distinct EEG signatures linked to cognitive performance.

This study shows that tACS applied to the occipital region modulates brightness perception of flickering light based on the phase shift between stimulation and neural activity.

The paper examines how preparatory delta phase responses correlate with speech comprehension performance using EEG data from naturalistic speech tasks.

BiPOLES is an optogenetic tool that allows bidirectional control of neuronal activity using two different light colors, enabling both excitation and inhibition of the same neurons in a single experiment.

The paper identifies circuit mechanisms by which catecholamines and acetylcholine modulate cortex-wide network interactions and exploration behavior in humans.

This study uses a network model with spike-timing-dependent plasticity to explain EEG connectivity changes after dual-site tACS and shows effects depend on tACS frequency and conduction delays.

The paper finds that sensory capability and information integration independently predict cognitive status in healthy older adults, with tACS enhancing task performance more in older adults.

The paper uses MEG data to classify spectral profiles in congenitally blind and sighted individuals, revealing region-specific changes linked to adaptive brain plasticity.