30 citations · 37 across the 7 of their papers we have counts for
4 papers · 1 filter
Uncovering differential identifiability in network properties of human brain functional connectomes
Meenusree Rajapandian, Enrico Amico, Kausar Abbas +2
The Identifiability Framework (If) has been shown to improve differential identifiability (reliability across-sessions and -sites, and differentiability across-subjects) of functio…
Towards an information theoretical description of communication in brain networks
Enrico Amico, Kausar Abbas, Duy Anh Duong-Tran +6
Modeling communication dynamics in the brain is a key challenge in network neuroscience. We present here a framework that combines two measurements for any system where different c…
Optimizing Differential Identifiability Improves Connectome Predictive Modeling of Cognitive Deficits in Alzheimer's Disease
Diana O. Svaldi, Joaquín Goñi, Kausar Abbas +8
Functional connectivity, as estimated using resting state fMRI, has shown potential in bridging the gap between pathophysiology and cognition. However, clinical use of functional c…
Alterations in Structural Correlation Networks with Prior Concussion in Collision-Sport Athletes
Muhammad Usman Sadiq, Diana Svaldi, Trey Shenk +5
Several studies have used structural correlation networks, derived from anatomical covariance of brain regions, to analyze neurologic changes associated with multiple sclerosis, sc…