Computational Brain Imaging

The Computational Brain Imaging Group is led by Thomas Yeo. Our group is involved in several research thrusts elaborated here.

The power of information processing in the human brain arises from interactions among 100 billion neurons, connected by 100 trillion synapses into a complex network. These interactions can now be measured in living individuals due to recent revolutions in non-invasive brain imaging techniques. These technologies can potentially influence the practice of medicine in neurology and psychiatry.

Our group develops machine learning algorithms to analyze large-scale brain imaging data. We often deal with thousands of subjects and billions of data points per subject. By characterizing the brain systems of healthy human subjects, we seek to understand how these systems support cognition. This might in turn shed light on how these systems become disrupted as a result of mental disorders.