Philippe Peigneux

This study examines how targeted memory reactivation during sleep affects sleep oscillations, brain microstructure, and motor memory consolidation in healthy adults.

The paper investigates how theta-band brain synchronization during immediate and post-sleep recall sessions in children supports memory recall dynamics and performance.

This study examines how napping affects functional brain responses in older adults during a working memory task, finding differences in brain activity and performance between nappers and non-nappers.

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 study examines how sleep fragmentation affects neurophysiological markers of cognitive fatigue during a working memory task in healthy individuals.

This study examines how motor learning and consolidation relate to fast and slow brain dynamics during wake and sleep using resting-state neural activity.

This study shows that sleep after motor adaptation training improves performance and alters beta oscillations and EEG spectral slope, with sleep spindles predicting success.

This study uses diffusion imaging to examine microstructural brain changes during motor learning and sleep consolidation, finding rapid learning-related changes but no clear sleep-dependent consolidation effects.

This study investigates whether REM sleep is necessary for memory consolidation after NREM sleep targeted memory reactivation (TMR), finding that TMR benefits depend on the timing relative to REM sleep.

This study investigates sleep-dependent structural neuroplasticity using diffusion imaging, finding rapid remodelling of neurites and glial cells after spatial navigation learning.

This paper proposes a semi-supervised deep learning method to correct susceptibility distortion in EPI, showing improved performance and faster processing than existing approaches.

This study examines how resting-state brain network connectivity relates to motor learning and memory consolidation using high-density EEG.

This study compares microstate analysis and hidden Markov modeling of MEG/EEG data to show they capture different spatial and temporal aspects of brain activity.

This study shows that tDCS improves memory consolidation broadly, but does not enhance the specific benefits of TMR on memory.

This study links reduced alpha peak frequency to episodic memory impairment in aging, showing correlations with encoding efficiency and hippocampal function.

The paper investigates offline neural activity changes after learning and relearning using resting state fMRI, finding continued task-related activity and compensatory connectivity after sleep deprivation.

This study examines age-related changes in resting-state brain function from childhood to late adulthood using magnetoencephalography, finding increased integration and stability in development and reduced integration in aging.

This study examines the effect of 20 Hz tACS on motor memory consolidation at critical post-training time points and finds no significant impact on performance.

The paper shows that instructor-learner brain synchronization compensates for sleep-deprived learners' performance deficits during interactive learning.

This study examines how resting-state network dynamics change in Alzheimer's disease using MEG and PET/MR, finding altered posterior DMN activation patterns in AD patients linked to structural and metabolic changes.

The paper identifies two modes of neural communication in the human brain—extrinsic coupling via phase synchronization and intrinsic integration via amplitude correlation—during rest and tasks.