Hello!!
Welcome to my personal website where you can find some information about my research interest and current work. My name is Raul and I’m a postdoctoral researcher in cognitive and computational neuroscience at the Multimodal Imaging and Connectome Analysis Lab MICA, which is part of the McConnell Brain Imaging Center (BIC), located at the Montréal Neurological Institute & Hospital (MNI-Neuro), McGill University, in Montreal, Canada. I’m also part of the ENIGMA-epilepsy consortium. Bellow, I briefly describe the main topics of my research.
1. Multimodal imaging biomarkers of cognitive and affective dysfunction in the common epilepsies
Epilepsy is one of the most common chronic neurological conditions, traditionally defined as a disorder of recurrent seizures. Cognitive and affective dysfunctions are increasingly recognized as core disease dimensions and can affect patient wellbeing sometimes more than the seizures themselves. Connectome-based and multimodal imaging approaches hold immense promise for revealing mechanisms that contribute to dysfunction, and to identify biomarkers.
2. Computational methods for data processing, quality control and reproducible outcomes
The human brain is a highly complex network organized across multiple interacting spatial and temporal scales. Versatile tools such as magnetic resonance imaging (MRI) have been instrumental in accelerating our understanding of brain structure and function, with recent initiatives emphasizing the importance of multimodal protocols for the development of multiscale models of brain organization. Despite the unprecedented interest of the community for such repositories, the rich heterogeneity of data generated from these protocols has also boosted the complexity of associated processing strategies. In parallel, the increasing adoption of open science practices emphasizes the need for reproducible methods to handle multimodal large-scale repositories.
3. Open datasets in health and disease: MICs and EpiC
Multimodal neuroimaging offers a unique sight to the structure and function of the human brain at multiple scales. A core procedure to facilitate future research is generating, curating, and sharing datasets conformed with data structure standards
