4 papers
GEFF: Graph Embedding for Functional Fingerprinting
Kausar Abbas, Enrico Amico, Diana Otero Svaldi +7
It has been well established that Functional Connectomes (FCs), as estimated from functional MRI (fMRI) data, have an individual fingerprint that can be used to identify an individ…
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…