Tarek Lajnef

This study shows caffeine increases brain complexity and shifts neural dynamics towards criticality during sleep, with age-dependent effects observed in REM sleep.

This study investigates how brain rhythms track speech fundamental frequency (F0) across different speech rates using magnetoencephalography, finding coupling in auditory and somatomotor regions.

This study examines how meditation affects neural oscillations, complexity, and critical dynamics using MEG in expert monks, finding increased complexity and reduced gamma-band long-range correlations during meditation.

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 investigates how neural oscillations track natural versus artificial fast speech using MEG, finding that natural fast speech elicits stronger cortico-acoustic coupling than artificially accelerated speech.

NeuroPycon provides a Python toolkit for reproducible brain connectivity analysis by integrating neuroimaging tools into a unified framework with parameter files for replication.