3.7k citations · 4.3k across the 24 of their papers we have counts for
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A Bayesian hierarchical spatial point process model for multi-type neuroimaging meta-analysis
Jian Kang, Thomas E. Nichols, Tor D. Wager +1
Neuroimaging meta-analysis is an important tool for finding consistent effects over studies that each usually have 20 or fewer subjects. Interest in meta-analysis in brain mapping…
Analysis of multiple sclerosis lesions via spatially varying coefficients
Tian Ge, Nicole Müller-Lenke, Kerstin Bendfeldt +2
Magnetic resonance imaging (MRI) plays a vital role in the scientific investigation and clinical management of multiple sclerosis. Analyses of binary multiple sclerosis lesion maps…
Towards a Multi-Subject Analysis of Neural Connectivity
Chris J. Oates, Lilia Carneiro da Costa, Tom Nichols
Directed acyclic graphs (DAGs) and associated probability models are widely used to model neural connectivity and communication channels. In many experiments, data are collected fr…
Multiple Comparison Procedures for Neuroimaging Genomewide Association Studies
Wen-Yu Hua, Thomas E. Nichols, Debashis Ghosh +1
Recent research in neuroimaging has focused on assessing associations between genetic variants that are measured on a genomewide scale and brain imaging phenotypes. A large number…