347 citations · 806 across the 21 of their papers we have counts for
25 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…
Investigating cognitive ability using action-based models of structural brain networks
Viplove Arora, Enrico Amico, Joaquín Goñi +1
Recent developments in network neuroscience have highlighted the importance of developing techniques for analyzing and modeling brain networks. A particularly powerful approach for…
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…
A Sparsity Inducing Nuclear-Norm Estimator (SpINNEr) for Matrix-Variate Regression in Brain Connectivity Analysis
Damian Brzyski, Xixi Hu, Joaquin Goni +3
Classical scalar-response regression methods treat covariates as a vector and estimate a corresponding vector of regression coefficients. In medical applications, however, regresso…