Younes Farouj

TL;DR: The extraction of fingerprints from human brain connectivity data has become a new frontier in neuroscience as discussed by the authors, however, the time scales of human brain identifiability are still largely unexplored.

TL;DR: In this article, the authors used functional Magnetic Resonance Imaging (fMRI) recordings in children with AgCC and typically developing children, and a time-resolved approach to retrieve temporal characteristics of whole-brain functional networks.

TL;DR: Findings reveal that the anterior default mode functional recruitment and its interaction with other networks play a major role in the functional reorganization occurring during the progressive stage of multiple sclerosis, and the dynamic properties of large-scale functional networks are steady over one year and unveil the intricate relationship between brain function and clinical disability.

TL;DR: A quantitative analysis is performed to assess the stability of iCAPs recovered from a group of patients with mood disorders and healthy volunteers, named innovation-driven co-activation patterns (iCAPs), to study the dynamic engagement of RSNs unconstrained by the slow hemodynamic response.