Studying Brain Activity Through Multimodal Neuroimaging Techniques | Dr Christophe Grova

2022-10-19

For those of you who were unable to join the webinar live, the stream is now available for everyone to watch here or on YouTube.

Introduction:

Speaker Bio:

Christophe Grova is Associate Professor affiliated to the Department of Physics of Concordia University and a research member of PERFORM Centre since July 2014, while remaining adjunct Professor affiliated to Biomedical Engineering Dpt and Neurology and Neurosurgery Dpt at McGill Faculty of Medicine. He is also affiliated to the epilepsy group of the Montreal Neurological Institute (MNI), the McConnell Brain Imaging Center of the MNI and a member of Physnum team at Centre de Recherches Mathématiques. He received his Engineering and Master degrees in biomedical engineering at the University of Technology of Compiègne (France) in 1998, followed by a Ph.D. in SPECT/MRI registration at University of Rennes (France). From 2003 to 2008, his postdoctoral studies at the MNI were focussed on EEG source imaging of epileptic discharges and the correspondence with EEG/fMRI results, while acting as part time research associate for the set-up of the MEG centre of Université de Montreal (2006-2008).

Dr Grova has been assistant Professor at McGill from July 2008 to July 2014. Since 2008, he is the director of the “Multimodal Functional Imaging Laboratory” (MultiFunkIm) which is now located on both McGill and Concordia campus. His areas of expertise are EEG/MEG source localization, multimodal data fusion involving EEG/MEG, fMRI and fNIRS, for application in epilepsy and sleep research. Dr Grova is the scientific lead of the physiology platform at PERFORM promoting neuroimaging in realistic lifestyle environments using wearable technology (EEG, fNIRS). His team is also handling the development and validation of two software packages: MEM in Brainstorm for EEG/MEG source localization and NIRSTORM for fNIRS data analysis.