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Invited Paper Session

Enhancing Power in Neuroscience: the Role of Statistical Innovation and Machine Learning

Wed, Aug 6, 2:00 PM - 3:50 PM Room CC-201B Music City Center

Kaidi KangOrganizerMegan JonesChair

Section on Statistics in Imaging co: Mental Health Statistics Sectionco: No Additional Sponsor Applied

5 Presentations

Effect size variability in PET Imaging studies

2:05 PM - 2:25 PM

PET imaging Dana harmonization

Integrative Learning of Semi-Confirmatory Factor Analysis for Multi-Site High Dimensional Data

2:25 PM - 2:45 PM

Qiong Wu (University of Pittsburgh)

Adolescent Brain Cognitive Development Study Factor analysis Multi-site study Network structure Neuroimaging

Changepoint analysis in a mixed model framework, with applications to fMRI time series

2:45 PM - 3:05 PM

Mark Fiecas (University of Minnesota)

Neuroimaging Time series Changepoints

Study design features improve the replicability in brain-wide association studies

3:05 PM - 3:25 PM

Kaidi Kang (Vanderbilt University)

Replicability Brain-behavior association study effect size

A Hidden Semi-Markov Model Approach to State-Based Dynamic Brain Network Analyses: Recent Developments and Future Directions

3:25 PM - 3:45 PM

Heather Shappell

Connectivity Connectomics Network Neuroscience Graphs Statistical Models Neuroimaging

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