Dr Cyril Pernet
Senior Academic Fellow in Neuroimaging Sciences
Dr Pernet is a senior academic fellow, teaching MRI/fMRI/EEG and researching on methods (statistics) for clinical applications (brain tumours, stroke). He is also the Edinburgh Imaging scientific contact for functional MRI studies, and support data management and open science activities.
Dr Pernet, obtained a PhD in Cognitive Neuropsychology from the University of Toulouse III in France in 2004. He was then working with Prof. JF Demonet and Dr P Celsis on neurodevelopmental disorders using MRI, functional MRI and EEG. He next obtained a post-doc fellowship from the Fyssen Foundation to work in Finland with Prof. R. Salmelin on reading using MEG. He moved to UK in 2006, working in Glasgow with Prof. B. Belin as post-doc research assistant, working on auditory (voice) processing using fMRI and EEG. He joined the Brain Research Imaging Center, Edinburgh in 2007, as fMRI lead for SINAPSE (Scottish Imaging Network A Platform for Scientific Excellence).
Open to PhD supervision enquiries?
Dr Pernet focuses on methodological development that allows neuro-imaging to be applied in day-to-day clinical settings. He has a large interest in studying cognition (vision, audition, and language), brain disease (stroke, brain tumour, development disorders) and imaging techniques (MRI, PET, EEG).
Research aims and areas of interest
- Cognitive neuroscience (categorization processes, vision/voice/language)
- Clinical applications of neuroimaging research to stroke and brain tumours
- Methodological/statistical development for EEG and fMRI
- Translational imaging
Sources of funding
- Royal Society
The use of brain functional magnetic resonance imaging to determine the mechanism of action of gabapentin in managing chronic pelvic pain in women: a pilot study
EEG-BIDS, an extension to the brain imaging data structure for electroencephalography
Data visualization for inference in tomographic brain imaging
A controlled comparison of thickness, volume and surface areas from multiple cortical parcellation packages
Manually-parcellated gyral data accounting for all known anatomical variability