Center for Advanced Human Brain Imaging Research

Monthly office hour to ask any technical/programming questions

Part 1 of our 3-part DTI didactic series Speaker: Jeffrey Luci, Ph.D. Description: We will explore how microscopic water diffusion can be probed with MRI, and how we can customize … Read More

Cognitive fog in long COVID: brain network dynamics in a densely-sampled case study Carrisa V. Cocuzza Supervisor: Avram J. Holmes Abstract: Individuals with long COVID syndrome can present with impaired … Read More

This is part 2 of our DTI didactic series   Speaker: Ahmad Beyh, Ph.D. Description: How do we go from a diffusion MRI signal to a whole-brain white matter connectome? We will explore how we can do this using tractography based on diffusion tensor imaging (DTI) and spherical deconvolution (SD).

MIka Rubinov, Ph.D. is a leader in network neuroscience.   This talk will be remote only. https://rutgers.zoom.us/j/4554725747?pwd=enVaVXVRUHI5Rk5OQWh2bFlIajhFZz09&omn=92209751720

Part 3 in our DTI didactic series Speaker: Linden Parkes, Ph.D. Date: Monday, April 21 Time: 12:00 PM Description: After deriving a connectome from diffusion-weighted MRI, we can use it for dynamical systems analysis. We will explore an example of these analyses through the lens of Network Control Theory (NCT).

Ahmet Ceceli, Ph.D. Postdoctoral Fellow Neuropsychoimaging of Addiction and Related Conditions (NARC) Lab Department of Psychiatry Icahn School of Medicine at Mount Sinai