186 citations · 224 across the 14 of their papers we have counts for
15 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…
Calibration and localization of optically pumped magnetometers using electromagnetic coils
Joonas Iivanainen, Amir Borna, Rasmus Zetter +6
In this paper, we propose a method to estimate the position, orientation and gain of a magnetic field sensor using a set of (large) electromagnetic coils. We apply the method for c…
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…
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…
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…