activity
20202024
most citedLatent Similarity Identifies Important Functional Connections for Phenotype Prediction

17 citations · 30 across the 8 of their papers we have counts for

collaborators

9 papers

q-bio.NC2024

Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies

Gang Qu, Anton Orlichenko, Junqi Wang +5

Functional connectivity (FC) as derived from fMRI has emerged as a pivotal tool in elucidating the intricacies of various psychiatric disorders and delineating the neural pathways…

q-bio.QM2022★ 17 cited

Latent Similarity Identifies Important Functional Connections for Phenotype Prediction

Anton Orlichenko, Gang Qu, Gemeng Zhang +5

Objective: Endophenotypes such as brain age and fluid intelligence are important biomarkers of disease status. However, brain imaging studies to identify these biomarkers often enc…

stat.AP2020

Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model

Gemeng Zhang, Aiying Zhang, Biao Cai +3

Functional connectivity (FC) has been widely used to study brain network interactions underlying the emerging cognition and behavior of an individual. FC is usually defined as the…

q-bio.QM2020★ 2 cited

Distance Correlation Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies

Li Xiao, Biao Cai, Gang Qu +4

Resting-state functional magnetic resonance imaging (rs-fMRI)-derived functional connectivity patterns have been extensively utilized to delineate global functional organization of…

q-bio.NC2020★ 2 cited

Functional connectome fingerprinting: Identifying individuals and predicting cognitive function via deep learning

Biao Cai, Gemeng Zhang, Aiying Zhang +6

The dynamic characteristics of functional network connectivity have been widely acknowledged and studied. Both shared and unique information has been shown to be present in the con…

q-bio.NC2020★ 1 cited

A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence

Aiying Zhang, Gemeng Zhang, Biao Cai +4

Emotion perception is essential to affective and cognitive development which involves distributed brain circuits. The ability of emotion identification begins in infancy and contin…