30 citations · 37 across the 7 of their papers we have counts for
9 papers
Tangent functional connectomes uncover more unique phenotypic traits
Kausar Abbas, Mintao Liu, Michael Wang +9
Functional connectomes (FCs) contain pairwise estimations of functional couplings based on pairs of brain regions activity. FCs are commonly represented as correlation matrices tha…
Improving Functional Connectome Fingerprinting with Degree-Normalization
Benjamin Chiêm, Kausar Abbas, Enrico Amico +3
Functional connectivity quantifies the statistical dependencies between the activity of brain regions, measured using neuroimaging data such as functional MRI BOLD time series. The…
Functional Connectome Fingerprint Gradients in Young Adults
Uttara Tipnis, Kausar Abbas, Elizabeth Tran +4
The assessment of brain fingerprints has emerged in the recent years as an important tool to study individual differences and to infer quality of neuroimaging datasets. Studies so…
Geodesic distance on optimally regularized functional connectomes uncovers individual fingerprints
Kausar Abbas, Mintao Liu, Manasij Venkatesh +6
Background: Functional connectomes (FCs), have been shown to provide a reproducible individual fingerprint, which has opened the possibility of personalized medicine for neuro/psyc…
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…
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…