64 citations · 194 across the 11 of their papers we have counts for
13 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…
Application of de-shape synchrosqueezing to estimate gait cadence from a single-sensor accelerometer placed in different body locations
Hau-Tieng Wu, Jacek Urbanek
Objective: Commercial and research-grade wearable devices have become increasingly popular over the past decade. Information extracted from devices using accelerometers is frequent…
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…
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…
Brain perfusion mediates the relationship between miRNA levels and postural control
Yufen Chen, Amy A Herrold, Zoran Martinovich +13
Transcriptomics, regional cerebral blood flow (rCBF), and a spatial motor virtual reality task were integrated using mediation analysis in a novel demonstration of "imaging omics".…
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…
Validation of gait characteristics extracted from raw accelerometry during walking against measures of physical function, mobility, fatigability, and fitness
Jacek K. Urbanek, Vadim Zipunnikov, Tamara Harris +3
Background. Wearable accelerometry devices allow collection of high-density activity data in large epidemiological studies both in-the-lab as well as in-the-wild (free-living). Suc…
Stride variability measures derived from wrist- and hip-worn accelerometers
Jacek K. Urbanek, Jaroslaw Harezlak, Nancy W. Glynn +3
Many epidemiological and clinical studies use accelerometry to objectively measure physical activity using the activity counts, vector magnitude, or number of steps. These measures…
Prediction of sustained harmonic walking in the free-living environment using raw accelerometry data
Jacek K. Urbanek, Vadim Zipunnikov, Tamara Harris +6
Objective. Using raw, sub-second level, accelerometry data, we propose and validate a method for identifying and characterizing walking in the free-living environment. We focus on…
Regression Trees for Longitudinal Data
Madan Gopal Kundu, Jaroslaw Harezlak
While studying response trajectory, often the population of interest may be diverse enough to exist distinct subgroups within it and the longitudinal change in response may not be…
Longitudinal Functional Models with Structured Penalties
Madan G. Kundu, Jaroslaw Harezlak, Timothy W. Randolph
This paper addresses estimation in a longitudinal regression model for association between a scalar outcome and a set of longitudinally-collected functional covariates or predictor…
Structured penalties for functional linear models---partially empirical eigenvectors for regression
Timothy W. Randolph, Jaroslaw Harezlak, Ziding Feng
One of the challenges with functional data is incorporating spatial structure, or local correlation, into the analysis. This structure is inherent in the output from an increasing…