Informations générales
Intitulé de l'offre : Thèse en neurophysiologie et imagerie (H/F) / PhD in neurophysiology and imaging (M/F)
Référence : UMR8263-ISAVIV-005
Nombre de Postes : 1
Lieu de travail : PARIS 05
Date de publication : samedi 2 août 2025
Type de contrat : CDD Doctorant
Durée du contrat : 36 mois
Date de début de la thèse : 1 novembre 2025
Quotité de travail : Complet
Rémunération : 2200 gross monthly
Section(s) CN : 25 - Neurobiologie moléculaire et cellulaire, neurophysiologie
Description du sujet de thèse
Mechanistic insights and optimization of synchronized respiratory stimulation as a therapeutic intervention to prevent diaphragm atrophy: longitudinal analysis via MRI
Contexte de travail
Cervical spinal cord injuries (SCI) severely impair both motor and respiratory functions, often leaving patients dependent on mechanical ventilation (MV), which in turn worsens diaphragm dysfunction and limits recovery. A new non-invasive, breathing-synchronized stimulation system (rSynES), developed by Dr. Isabelle Vivodtzev, targets accessory respiratory muscles and has shown promising results in improving respiratory function. Suggesting that it may activate spinal networks.
This PhD project aims to investigate the underlying mechanisms of rSynES-induced recovery using a mouse model of cervical SCI, through longitudinal assessment of molecular and cellular changes. Advanced imaging techniques, including structural and functional-MRI, developed by Dr. Emmanuel Barbier (GIN director), will be used to optimize rSynES and monitor neuronal changes over time at the lesion site.
In addition, we will study the mechanisms of neuroplasticity. For example, we will assess the reorganization and survival of motor neurons using synaptic markers and analyses of nerve fiber regrowth. Tracing techniques will allow us to observe the connections from the brain to the spinal cord. Inflammation will be measured using immunostaining and western blot."
A significant part of the is thesis (1 year) will be carried out at the GIN - Grenoble institute of neuroscience- located in Grenoble, a multidisciplinary center situated at the interface between physics and biology. Consequently, the candidate must demonstrate skills and a strong interest in these two disciplines. Additionally, the candidate must show an aptitude for data processing and numerical simulation. Proficiency in programming tools (Matlab, Python, C++) is essential, and knowledge of NMR/MRI would be a valuable asset.