Research program title
Multimodal Neuroimaging of Sleep and Cognition
The fellow will have the opportunity to setup and conduct advanced neuroimaging studies in clinical and healthy samples, as well as to analyze and write up findings of previously collected human neuroimaging data. He/she will also have the opportunity to develop and evaluate new multimodal data analysis approaches, as for instance the study of sleep patterns combining high-density Electro-EncephaloGraphy (EEG) with functional Magnetic Resonance Imaging and for the very first time EEG with Near-Infra Red Spectroscopy (NIRS) during whole night recordings. These techniques will allow addressing links between bioelectrical neuronal activity and hemodynamic processes during sleep. He/she will be based at Concordia University (Montreal, Quebec), jointly supervised by Dr. Christophe Grova PhD and Dr. Thanh Dang-Vu MD-PhD, and will work in a highly multidisciplinary environment (neurosciences, kinesiology, physics, engineering, psychology) and in collaboration with multiple academic and hospital institutions in Montreal (PERFORM Center, Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal [CRIUGM], Montreal Neurological Institute [MNI]).
The research themes that will be addressed by the Fellow will include:
- The neural mechanisms of sleep, sleep deprivation and sleep disorders (chronic insomnia, central disorders of hypersomnolence), and their relationship with cognition.
- Developing and evaluating methods dedicated to the analysis of multimodal neuroimaging data for sleep studies: (i) simultaneous EEG/fMRI, and (2) simultaneous EEG/NIRS , including the analysis of functional connectivity and brain network analysis.
The PERFORM Centre is a 8,000 m2 research facility including eight inter-related research platforms, such as a state of the art sleep laboratory (3 bedrooms with polysomnography and high-density EEG) and a fully equipped imaging suite (3T MRI, high-density EEG, NIRS, TMS, SPECT-CT, PET-CT, Ultrasound and Dexa) entirely dedicated to research.
Academic qualifications required
Applicants must have a PhD (or close to completion) in a related field (e.g., neurosciences, computer science, (bio)medical engineering, physics). Experience in the analysis of hemodynamic signals from fMRI or NIRS is important. Applicants should have strong knowledge of Matlab and/or experience in analysis of neuroimaging, excellent organizational skills, an aptitude for teamwork, good writing skills and a productive publication record. Experience in one or more aspects of the research themes will constitute an asset. The position has a flexible start date.