Sylvain Rheims

This study shows that activating CB2 during epileptogenesis recruits anti-inflammatory monocytes and improves cognitive, affective, and seizure outcomes in a rat model of TLE.

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 paper tracks monocyte infiltration and phenotypic changes in a rat epilepsy model, showing they adopt a microglia-like phenotype and sustain low-grade inflammation during chronic epilepsy.

The paper investigates how the brain encodes value signals for pleasant and unpleasant scenarios, showing distinct neural systems in vmPFC and aIns that guide decision-making.

The paper identifies distinct neural interaction subsystems in the human frontal cortex for reward and punishment learning using intracranial recordings.

The paper maps CB2 expression in mouse brain and shows its regulation in microglia under different inflammatory conditions.

The paper investigates how mood fluctuations, influenced by incidental feedback, affect choice behavior through neural activity in the vmPFC and daIns.

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.

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

This study examines respiratory dysfunctions in rodent epilepsy models and links them to changes in the brainstem serotonin system.

The paper compares inflammation levels in the hippocampus of mTLE patients and rat models of epilepsy, finding lower chronic inflammation in patients compared to acute post-SE inflammation in rats.

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

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

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.