Type of internship
Master/Engineer.
Date and duration
From Spring 2015, during 5 or 6 months.
Context
There is accumulating evidence suggesting that the neurovascular coupling may be altered in cerebral microangiopathy in humans. We hypothesize that subtle neurovascular alterations can be detected in-vivo using refined techniques of functional MRI (fMRI) associated with electrophysiological (EEG) recordings in CADASIL (Cerebral Autosomal Dominant Arteriopathy with Subcortical Infracts and Leukoencephalopathy) and in hypertension-related sporadic SVD (small vessel diseases). For this purpose, a study has started to assess simultaneously the hemodynamic response and neurovascular coupling during cortical activation using fMRI parallel to EEG recording in a population of 30 patients and 30 healthy subjects. The overall goal is to fuse EEG and fMRI data in dynamic models to assess and quantify possible impairments of neurovascular coupling in patients.
Objective
Objective of this internship is to process the EEG signal recorded during fMRI runs to estimate the neural contribution in activated region. This requires solving an inverse problem. This localized neural activity will then be integrated in models of neurovascular coupling with the CBF signal estimated from fMRI images.
Mission(s)
– denoising of EEG signal acquired during functional MRI
– source reconstruction on brain surface segmented from anatomical MRI
– integration in a model of neurovascular coupling
Experience
– Matlab or Python
– image or signal processing experience
Salary
508.20 €/month + 50% of transportation fees.
