no code implementations • 12 Jan 2023 • Thomas F Varley, Maria Pope, Maria Grazia Puxeddu, Joshua Faskowitz, Olaf Sporns
The standard approach to modeling the human brain as a complex system is with a network, where the basic unit of interaction is a pairwise link between two brain regions.
1 code implementation • 29 Jun 2021 • Farnaz Zamani Esfahlani, Youngheun Jo, Maria Grazia Puxeddu, Haily Merritt, Jacob C. Tanner, Sarah Greenwell, Riya Patel, Joshua Faskowitz, Richard F. Betzel
Next, we show that the modularity maximization frame is well-suited for detecting task- and condition-specific modules.
no code implementations • 14 May 2021 • Joshua Faskowitz, Richard F. Betzel, Olaf Sporns
Here, we underscore the important contributions made by brain network edges for understanding distributed brain organization.
1 code implementation • 19 Jun 2017 • Dmitry Petrov, Alexander Ivanov, Joshua Faskowitz, Boris Gutman, Daniel Moyer, Julio Villalon, Neda Jahanshad, Paul Thompson
There is no consensus on how to construct structural brain networks from diffusion MRI.
no code implementations • 26 Jan 2017 • Dmitry Petrov, Boris Gutman, Alexander Ivanov, Joshua Faskowitz, Neda Jahanshad, Mikhail Belyaev, Paul Thompson
In this work, we study the extent to which structural connectomes and topological derivative measures are unique to individual changes within human brains.
no code implementations • 18 Nov 2016 • Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson
In the present work we demonstrate the use of a parcellation free connectivity model based on Poisson point processes.