no code implementations • 31 Oct 2023 • Jacob Tanner, Sina Mansour L., Ludovico Coletta, Alessandro Gozzi, Richard F. Betzel
Understanding the ubiquitous phenomenon of neural synchronization across species and organizational levels is crucial for decoding brain function.
no code implementations • 14 Nov 2022 • Andrew Hannum, Mario A. Lopez, Saúl A. Blanco, Richard F. Betzel
More broadly, we explore the accuracy and reliability of five different machine learning techniques on subject fingerprinting and cognitive state decoding objectives, using functional connectivity data from fMRI scans of a high number of subjects (865) across a number of cognitive states (8).
no code implementations • 12 Oct 2021 • Farzad V. Farahani, Waldemar Karwowski, Mark D Esposito, Richard F. Betzel, Magdalena Fafrowicz, Bartosz Bohaterewicz, Tadeusz Marek, Pamela K. Douglas
Also, connectivity and hub analyses showed that the somatomotor, ventral attention, and visual networks are the most densely-connected brain areas in both sessions, respectively, with the first being more active in the evening session and the two latter in the morning session.
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.