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Statistics Seminar: Principles of functional Neuroimaging

Start Date: November 8, 2018
End Date: November 8, 2018

By Professor Martin Anders Lindquist (Johns Hopkins University, Baltimore, USA)
 
Understanding the brain is arguably among the most complex, important and challenging issues in science today. Neuroimaging is an umbrella term for an ever-increasing number of minimally invasive techniques designed to study the brain. These include a variety of rapidly evolving technologies for measuring brain properties, such as structure, function and disease pathophysiology. The analysis of neuroimaging data is an example of a modern ‘big data’ problem, and the data is not only large but also has a complex correlation structure in both space and time. Statistics plays a crucial role in understanding the nature of the data and obtaining relevant results that can be used and interpreted by neuroscientists. In this talk we will focus on methods for performing functional neuroimaging (e.g., functional MRI) and discuss how these techniques can be used to detect areas of the brain activated by a task, determine how different brain regions are connected and communicate with one another, and how brain measurements can be used for prediction and classification purposes. We begin with an overview of basic imaging techniques, and conclude with a review of current challenges.
 
Biography: Martin Lindquist is a Professor of Biostatistics at Johns Hopkins University. His research focuses on mathematical and statistical problems relating to functional Magnetic Resonance Imaging (fMRI). Dr. Lindquist is actively involved in developing new analysis methods to enhance our ability to understand brain function using human neuroimaging. He has published over 70 articles, and serves on the editorial boards of several scientific journals in both statistics and neuroimaging. He is a fellow of the American Statistical Association. He was awarded the 2018 Organization for Human Brain Mapping’s “Education in Neuroimaging” award.
 

More Information:

For more info contact: Prof. Hernando Ombao: email: hernando.ombao@kaust.edu.sa
 
Date: Thursday 8th Nov 2018
Time:04:00 PM - 05:00 PM
Location: Building 1, Level 4, room# 4102
Light refreshments will be served around 3:45 PM