Jean‐Marc Lina

This study shows that targeted memory reactivation during sleep spindles improves recall-based memory retention, with spindle temporal clustering affecting different memory outcomes.

This study investigates whether inhibiting stearoyl-CoA desaturase (SCD) restores sleep in 3xTg-AD mice and affects astrocytic function, finding no significant restoration of sleep patterns but partial rescue of astrocytic changes in the hippocampus.

The paper investigates sex-dependent effects of NLGN2 absence on sleep and wake states, finding distinct transcriptome and proteome changes in male and female mice.

NIRSTORM extends Brainstorm for fNIRS analysis, offering 3D hemodynamic reconstructions and optimal probe design within a multimodal framework.

This study investigates how Targeted Memory Reactivation during sleep affects microstructural brain changes after motor learning, showing distinct neural reorganization patterns in motor-related areas.

This paper applies beamforming spatial filtering to EEG-fMRI data to improve detection of sleep spindles and enhance fMRI GLM analysis by reducing BCG artefacts.

This paper validates MEG source imaging by comparing it to an intracranial EEG atlas, finding that MEG accurately estimates oscillatory patterns in lateral regions but underestimates deep regions.

This study uses hierarchical Bayesian modeling to analyze how PAS stimulation affects cortical excitability and hemodynamic responses, finding a positive correlation between the two.

The paper examines the link between spindle-slow wave coupling during sleep and early amyloid-β burden, finding it associated with memory decline in midlife individuals.

This study investigates the relationship between cortical excitability and hemodynamic activity using simultaneous TMS and fNIRS, finding a positive correlation between them.

This study examines altered criticality properties in schizophrenia patients using MEG data, finding differences in self-similarity and multifractality gradients compared to healthy controls.

The paper identifies two types of slow waves in human sleep, slow switchers and fast switchers, and shows aging is associated with reduced connectivity and faster dissipation of sleep pressure.

This paper introduces a data-driven beamforming technique to reduce BCG artefacts in EEG-fMRI without using ECG signals, improving signal recovery for task-based neural activity.

This paper introduces a new fNIRS reconstruction method called Maximum Entropy on the Mean (MEM), which provides more accurate and robust reconstructions than the Minimum Norm Estimate (MNE) in both simulations and real data.