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BICI Seminar on brain connectomics

BICI Seminar on brain connectomics

Flyer for BICI seminar
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Dr. Joaquín Goñi will present a seminar on brain connectomics at the Biomedical Image Computing and Informatics Seminar in Philadelphia.

Goñi's seminar is titled: "Brain connectomics: from maximizing subjects identifiability to disentangling heritability and environment traits". The event will take place at the Smillow Rubenstein Auditorium & Commons, University of Pennsylvania, 3400 Civic Center Blvd., Philadelphia, at 1:00 PM on Thursday, March 14, 2019. A pizza lunch will be available beforehand at 12:45 PM.

The analysis of structural brain connectivity obtained via diffusion Magnetic Resonance imaging is an important step in understanding the In the 17th century, physician Marcello Malpighi observed the existence of patterns of ridges and sweat glands on fingertips. This was a major breakthrough and originated a long and continuing quest for ways to uniquely identify individuals based on fingerprints. In the modern era, the concept of fingerprinting has expanded to other sources of data, such as voice recognition and retinal scans. It is only in the last few years that technologies and methodologies have achieved high-quality data for individual human brain imaging, and the subsequent estimation of structural and functional connectivity. In this context, the next challenge for human identifiability is posed on brain data, particularly on brain networks, both structural and functional. 

In this presentation Dr. Goñi will show how the individual fingerprint of a human structural or functional connectome (as represented by a network) can be maximized from a reconstruction procedure based on group-wise decomposition in a finite number of orthogonal brain connectivity modes. By using data from the Human Connectome Project and from a local cohort, he will introduce different extensions of this work, including an extended version of the framework for inter-scanner identifiability, and an extended version of the framework for disentangling heritability and environmental brain network traits.
Dr. Joaquín Goñi is a Computational Neuroscientist who works in the emergent research area of Brain Connectomics. He is the head of the CONNplexity Lab, which focuses on the application of Complex Systems approaches in Neuroscience and Cognitive Science, including frame-works such as graph theory, information theory or fractal theory. Projects include relating structural and functional connectivity within the human brain. His interests includes healthy and disease conditions, including neurodegenerative diseases. He also makes contributions to theoretical foundations of Complex Systems. He earned his degree in Computer Engineering in 2003 (University of the Basque Country) and his PhD in 2008 from the Department of Physics and Applied Mathematics (University of Navarra). In 2015, he joined Purdue as an Assistant Professor of Industrial Engineering.