OHBM Talks & Posters

OHBM 2024 (Seoul, South Korea)

Mandy's Talk in Oral Session on Advancing Statistical Approaches

Posters!

Poster 1325

Poster 1952

OHBM 2023 (Montreal, Canada)

Slides available here for Mandy's keynote on "Rethinking scrubbing in fMRI from a statistical perspective".  fMRIscrub package available on Github and CRAN

Github repo for the course: https://github.com/wdweeda/ohbm2023_edu_course/ 

Materials for Mandy's lecture on spatial Bayesian models for powerful task fMRI analysis: Slides and code available here.  BayesfMRI R package on GitHub and CRAN.

This talk is based on the following papers:

Spencer D, Yue YR, Bolin D, Ryan S and Mejia AF. Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups. NeuroImage (2022). https://doi.org/10.1016/j.neuroimage.2022.118908

Mejia AF,* Yue Y*, Bolin D, Lindgren F, Lindquist MA. A Bayesian general linear modeling approach to cortical surface fMRI data analysis. Journal of the American Statistical Association (2020): 501-520. https://doi.org/10.1080/01621459.2019.1611582 

Access slides for Mandy's talk on "Discovering individual functional topology without hours of data"

Posters!

Poster 536

Access the full paper:
Parlak F, Phạm DĐ, Spencer D, Welsh RC and Mejia AF. Sources of Residual Autocorrelation in Multiband Task fMRI and Strategies for Effective Mitigation. Frontiers in Neuroscience (2023). https://doi.org/10.3389/fnins.2022.1051424   

Poster 797

Access the full paper:
Phạm DĐ, McDonald DJ, Ding L, Nebel MB, Mejia AF. Less is more: balancing noise reduction and data retention in fMRI with data-driven scrubbing. NeuroImage (2023). https://doi.org/10.1016/j.neuroimage.2023.119972