Nicolas Langer

Non-Neural Sources Systematically Impact Aperiodic EEG Activity

This study shows non-neural sources like eye and muscle artifacts affect aperiodic EEG parameters, leading to biased interpretations, and proposes a method to correct these biases.

Impact of Aging on Theta-Phase Gamma-Amplitude Coupling During Learning: A Multivariate Analysis

This study uses multivariate PAC analysis to show that older adults have reduced theta-gamma coupling during learning, suggesting impaired working memory function.

Toward Robust Neuroanatomical Normative Models: Influence of Sample Size and Covariates Distributions

This study evaluates how sample size and covariate distributions affect neuroanatomical normative models in Alzheimer's disease, showing that demographic alignment is crucial for reliable results.

EEG-GAN: A Generative EEG Augmentation Toolkit for Enhancing Neural Classification

EEG-GAN generates synthetic EEG data to improve classification accuracy across multiple datasets and classifiers, achieving up to 16% improvement in decoding accuracy.

Automating clinical assessments of memory deficits: Deep Learning based scoring of the Rey-Osterrieth Complex Figure

This paper develops a deep learning model to automate scoring of the Rey-Osterrieth Complex Figure (ROCF) drawings, outperforming human raters and clinicians in accuracy and consistency.

Pre-stimulus Activity Mediates Event-Related Theta Synchronization and Alpha Desynchronization During Memory Formation in Healthy Aging

This study investigates how pre-stimulus brain activity influences theta synchronization and alpha desynchronization during memory formation in young and older adults, finding age-related differences in these neural mechanisms.

Neurophysiological markers of successful learning in healthy aging

This study identifies P300 amplitude as a neurophysiological marker of successful learning, showing it decreases with learning success in both young and older adults.

Decomposing age effects in EEG alpha power

The paper investigates age-related changes in EEG alpha power by decomposing signals into aperiodic and adjusted components across three samples of young and elderly individuals.

Decomposing the role of alpha oscillations during brain maturation

This study decomposes alpha oscillation power into periodic and aperiodic components, revealing distinct developmental trajectories and linking periodic changes to thalamocortical connectivity and attentional performance.

Harmonized-Multinational qEEG Norms (HarMNqEEG)

This paper develops multinational qEEG norms using Hermitian Riemannian methods, showing improved diagnostic accuracy for brain dysfunction and providing harmonization tools.

The ZuCo Benchmark on Cross-Subject Reading Task Classification with EEG and Eye-Tracking Data

The paper introduces a machine learning benchmark for classifying reading tasks using EEG and eye-tracking data, providing a public dataset, baselines, and an evaluation platform.

Alpha oscillations link action to cognition: An oculomotor account of the brain's dominant rhythm

The paper proposes a new theory linking alpha oscillations to oculomotor control and cognition, showing how alpha power modulations relate to eye movements and working memory.

Sound-location specific alpha power modulation in the visual cortex in absence of visual input

This study shows that alpha power modulation in the visual cortex during auditory spatial attention is linked to oculomotor actions rather than just attentional filtering.

AUTOMAGIC: Standardized Preprocessing of Big EEG Data

Automagic provides standardized preprocessing and quality assessment for EEG data to address artifact contamination and improve replicability in large-scale studies.

Microstate EEGlab toolbox: An introductory guide

An open-source Matlab plugin for EEGlab provides both a graphical user interface and multi-subject scripting for reproducible electroencephalography (EEG) microstate analysis, accompanied by a methodological overview and tutorial.

Age and sex modulate the variability of neural responses to naturalistic videos

The paper investigates how age and sex affect neural response variability to naturalistic videos in a large developmental sample, finding increased variability with age and sex differences in young participants.

An open resource for transdiagnostic research in pediatric mental health and learning disorders

The paper introduces the Healthy Brain Network (HBN) biobank, a large-scale multimodal dataset for pediatric mental health and learning disorders research, with initial data release.

A multi-modal approach to decomposing standard neuropsychological test performance: Symbol Search

This study uses eye tracking and EEG to decompose Symbol Search performance into cognitive components, finding that efficient performance depends more on memory encoding than general processing speed.

A Resource for Assessing Information Processing in the Developing Brain Using EEG and Eye Tracking

The paper presents a dataset combining EEG and eye tracking data from 126 individuals to study information processing in the developing brain.