24 citations · 79 across the 23 of their papers we have counts for
6 papers · 1 filter
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…
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…
Interpretable multimodal fusion networks reveal mechanisms of brain cognition
Wenxing Hu, Xianghe Meng, Yuntong Bai +7
Multimodal fusion benefits disease diagnosis by providing a more comprehensive perspective. Developing algorithms is challenging due to data heterogeneity and the complex within- a…
Brain Maturation Study during Adolescence Using Graph Laplacian Learning Based Fourier Transform
Junqi Wang, Li Xiao, Tony W. Wilson +3
Objective: Longitudinal neuroimaging studies have demonstrated that adolescence is the crucial developmental epoch of continued brain growth and change. A large number of researche…
Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction
Li Xiao, Julia M. Stephen, Tony W. Wilson +2
To explain individual differences in development, behavior, and cognition, most previous studies focused on projecting resting-state functional MRI (fMRI) based functional connecti…
Spectral Resolution Clustering for Brain Parcellation
Keith Dillon, Yu-Ping Wang
We take an image science perspective on the problem of determining brain network connectivity given functional activity. But adapting the concept of image resolution to this proble…