Steun ons werk
Decorative header background

Leonardo Cerliani

Postdoc

Over Leonardo

“Nothing defines the function of a neuron better than its connections” M. Mesulam

Publications GitHub LinkedIn

Bio

My work revolves around mapping, investigating, and understanding brain connectivity using MRI. In this context, I gained extensive experience in preprocessing and analyzing diffusion-weighted data, particularly for tractography, as well as resting-state and task-based fMRI.

During my initial postdoc at UMCG, I devised the methodology of brain connectivity gradients within the context of a study on the insular cortex. Later, at the NIN, I investigated patterns of atypical subcortico-cortical brain connectivity in Autism and collaborated on other studies of brain connectivity in various neurological and neuropsychiatric conditions. During my period at the ICM in Paris, I worked on MRI-based primate connectivity and began to develop an interest in analytics and data engineering in neuroimaging beyond scientific research questions.

Back in The Netherlands, I continued working on neuroimaging in several projects: deep learning for neuropsychiatry (AMC), functional connectivity in Misophonia (UvA), and sub-millimeter fMRI in social cognition (SBL – NIN). Concurrently, I deepened my interest in engineering problems related to the organization and analysis of big data.

In my current project at the Social Brain Lab, I am implementing Representational Similarity Analysis on fMRI and behavioral data to investigate how different aspects of emotion observation are represented in various cortical regions involved in social cognition.

Representative Publications

Nevenactiviteiten

Steun ons werk

De Stichting Vrienden van het Herseninstituut ondersteunt baanbrekend hersenonderzoek. U kunt ons daarbij helpen.

Steun ons werk