SOCR News AmStats SIM 2024
Contents
SOCR News & Events: 2024 2024 American Statistical Association Special Session on Longitudinal Imaging and Biostatistical Methods, Statistics in Imaging Annual Meeting, Indianapolis
Overview
This session will include a blend of mathematical, statistical, and computational experts presenting on recent methodological advances to represent, model, predict, synthesize, and analyze large and heterogeneous spatiotemporal imaging data.
Session Logistics
- Title: Longitudinal Imaging and Biostatistical Methods
- Organizers: Ivo Dinov (Michigan), Sharmistha Guha (TAMU), Hossein Moradi (SD State), Ranjan Maitra (Iowa), and Dan Rowe (Marquette)
- Date/Time: TBD
- Venue: JW Marriott Indianapolis, Singapore
- Registration: ... coming up ...
- Conference: 2024 Statistical Methods in Imaging Conference, Annual Meeting of the ASA Statistics in Imaging Section.
- Session Format: details coming up ...
Session Presenters
- Sharmistha Guha (TAMU)
- Title: Supervised Modeling of Heterogeneous Networks: Investigating Functional Connectivity Across Various Cognitive Control Tasks
- Abstract: We present a neuroimaging-driven study examining the relationship between functional connectivity across cognitive control domains and cognitive phenotypes, aiming to identify specific brain regions significantly associated with these phenotypes. We propose a generalized linear modeling framework incorporating multiple network responses and predictors, allowing for diverse interconnections between edges. Leveraging hierarchical Bayesian modeling, our approach estimates regression coefficients and identifies predictor-linked nodes with precise uncertainty quantification. Theoretical analysis shows our model's posterior predictive density asymptotically approaches the true data generating density. Empirical investigations, including simulation studies and functional connectivity data analysis, demonstrate our framework's superior performance compared to competitors.
- Hossein Moradi (SDState)
- Title: Tensor Regression for Brain Imaging Data
- Ranjan Maitra (Iowa State)
- Title: Tensor-on-Tensor Time Series Regression for Integrated fMRI Analysis (current work)
- Dan Rowe (Marquette)
- Title: (TBD)
- Ivo Dinov (Michigan)
- Title: Spacekime analytics: from time-series to kime-surfaces and inference-functions
Translate this page:
