J.-P. Lachaux

Aperiodic exponent of brain field potentials is dependent on the frequency range it is estimated

This study shows that aperiodic exponents of brain field potentials vary with frequency range, highlighting the need for consistent frequency range selection in neuroscience research.

Multi-task Intracranial EEG recordings reveal a Comprehensive Role of the Human Dorsal Anterior Insula in High-Level Cognition

This study uses multi-task intracranial EEG recordings to investigate the role of the human dorsal anterior insula in various cognitive tasks, revealing its involvement in the Action-Mode Network and the interplay between cognitive effort and efficiency.

The Inferior Frontal Sulcus, not the Anterior Insula, acts as a late-stage attentional gate for the fast rejection of salient but irrelevant sensory inputs during cognitive tasks

Reading about sensations recruits the posterior insula: An intracranial EEG study

This study uses intracranial EEG to show that reading sensation-related sentences activates the posterior insula earlier and more intensely than other semantic categories.

Neural shape mediation analysis

This study introduces a model to analyze neural signal shapes and identifies brain regions mediating behavioural processes, finding that depletion periods, not amplitude, correlate with behavioural speed.

Local field potentials in human motor and non-motor brain areas encode the direction of upcoming movements: An intracerebral EEG classification study

This study uses intracerebral EEG to show that motor cortex activity encodes hand movement direction during both planning and execution, with different frequency features involved in each phase.

THE DUAL-TASK COST IS DUE TO NEURAL INTERFERENCES DISRUPTING THE OPTIMAL SPATIO-TEMPORAL DYNAMICS OF THE COMPETING TASKS

The paper investigates the neural origin of dual-task cost in humans using intracranial EEG, finding gamma-band interferences in task-relevant brain regions and showing adaptive strategies to minimize interference.

Opponent intracerebral signals for reward and punishment prediction errors in humans

The paper investigates reward and punishment prediction errors in humans using intracerebral recordings, finding distinct brain regions sensitive to each type of error.

Decoding the neural dynamics of oculomotor decision making in humans

This study uses intracerebral EEG recordings in humans to show that sustained high gamma activity in fronto-parietal cortex distinguishes free choice from instructed saccades during a delayed oculomotor decision task.

Identifying task-relevant spectral signatures of perceptual categorization in the human cortex

This study uses machine learning to identify spectral signatures in human brain activity that correlate with perceptual categorization of visual stimuli.

BLAST : a short computerized test to measure the ability to stay on task. Normative behavioral data and detailed cortical dynamics.

The paper introduces a new computerized test, BLAST, to measure attention stability and provides normative data and cortical dynamics from EEG recordings.

Activations of Deep Convolutional Neural Network are Aligned with Gamma Band Activity of Human Visual Cortex

The paper investigates the alignment between gamma band activity in the human visual cortex and feature transformations in deep convolutional neural networks (DCNNs) along the ventral visual pathway.