578 citations · 707 across the 16 of their papers we have counts for
18 papers
Statistical Opportunities in Neuroimaging
Jian Kang, Thomas Nichols, Lexin Li +2
Neuroimaging has profoundly enhanced our understanding of the human brain by characterizing its structure, function, and connectivity through modalities like MRI, fMRI, EEG, and PE…
A tensor based varying-coefficient model for multi-modal neuroimaging data analysis
Pratim Guha Niyogi, Martin A. Lindquist, Tapabrata Maiti
All neuroimaging modalities have their own strengths and limitations. A current trend is toward interdisciplinary approaches that use multiple imaging methods to overcome limitatio…
Enhanced hyperalignment via spatial prior information
Angela Andreella, Livio Finos, Martin A Lindquist
Functional alignment between subjects is an important assumption of functional magnetic resonance imaging (fMRI) group-level analysis. However, it is often violated in practice, ev…
Improved fMRI-based Pain Prediction using Bayesian Group-wise Functional Registration
Guoqing Wang, Abhirup Datta, Martin A. Lindquist
In recent years, neuroimaging has undergone a paradigm shift, moving away from the traditional brain mapping approach toward developing integrated, multivariate brain models that c…
Graph-constrained Analysis for Multivariate Functional Data
Debangan Dey, Sudipto Banerjee, Martin Lindquist +1
Functional Gaussian graphical models (GGM) used for analyzing multivariate functional data customarily estimate an unknown graphical model representing the conditional relationship…
Bayesian Functional Registration of fMRI Activation Maps
Guoqing Wang, Abhirup Datta, Martin A. Lindquist
Functional magnetic resonance imaging (fMRI) has provided invaluable insight into our understanding of human behavior. However, large inter-individual differences in both brain ana…