186 citations
- University of New MexicoUS8 papers
- Georgia State UniversityUS4 papers
- Tulane UniversityUS4 papers
- Center for Translational Research in Neuroimaging and Data ScienceUS3 papers
- University of Nebraska Medical CenterUS3 papers
- Carnegie Mellon UniversityUS2 papers
- Microsoft (United States)US2 papers
- New York UniversityUS2 papers
- Sandia National LaboratoriesUS2 papers
- University of Maryland, Baltimore CountyUS2 papers
- AEgis Technologies (United States)US1 paper
- Biomedical Research InstituteUS1 paper
16 papers
Effects of head modeling errors on the spatial frequency representation of MEG
Wan-Jin Yeo, Eric Larson, Joonas Iivanainen +5
Optically-pumped magnetometers (OPM) -- next-generation magnetoencephalography (MEG) sensors -- may be placed directly on the head, unlike the more commonly used superconducting qu…
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…
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…
Causal inference of brain connectivity from fMRI with -Learning Incorporated Linear non-Gaussian Acyclic Model (-LiNGAM)
Aiying Zhang, Gemeng Zhang, Biao Cai +6
Functional connectivity (FC) has become a primary means of understanding brain functions by identifying brain network interactions and, ultimately, how those interactions produce c…
Multidataset Independent Subspace Analysis with Application to Multimodal Fusion
Rogers F. Silva, Sergey M. Plis, Tulay Adali +2
In the last two decades, unsupervised latent variable models---blind source separation (BSS) especially---have enjoyed a strong reputation for the interpretable features they produ…