scispace - formally typeset
D

Didier Clarençon

Researcher at French Institute of Health and Medical Research

Publications -  15
Citations -  1292

Didier Clarençon is an academic researcher from French Institute of Health and Medical Research. The author has contributed to research in topics: Vagus nerve stimulation & Vagal tone. The author has an hindex of 11, co-authored 15 publications receiving 1107 citations. Previous affiliations of Didier Clarençon include Joseph Fourier University & University of Grenoble.

Papers
More filters
Journal ArticleDOI

Rat pro-inflammatory cytokine and cytokine related mRNA quantification by real-time polymerase chain reaction using SYBR green.

TL;DR: SYBR Green real-time RT-PCR protocols to assay pro-inflammatory cytokines, cytokine receptors and related molecules and related molecule mRNA in rats and enables normalisation against several housekeeping genes dependent on the specific experimental treatments and tissues.
Journal ArticleDOI

Vagus nerve stimulation: from epilepsy to the cholinergic anti-inflammatory pathway.

TL;DR: Both vagal afferents and efferents are activated by VNS, which is used as an anti‐TNF therapy in inflammatory diseases were TNF is a key cytokine as represented by experimental sepsis, postoperative ileus, burn‐induced intestinal barrier injury, colitis.
Journal ArticleDOI

Anti-inflammatory effect of vagus nerve stimulation in a rat model of inflammatory bowel disease.

TL;DR: The data argue for an anti-inflammatory role of vagus nerve stimulation chronically performed in freely moving rats with colitis and provide potential therapeutic applications for patients with inflammatory bowel diseases.
Journal ArticleDOI

Dynamic Causal Modelling and physiological confounds: A functional MRI study of vagus nerve stimulation

TL;DR: The study indicates that current developments of DCM are robust to psychophysiological responses to some extent, but does not exclude the need to develop specific models of brain - body interactions within the DCM framework to better estimate neuronal connectivity from fMRI time series.