Mejia AF, Bolin D, Yue Y, Wang J, Caffo BS and Nebel MB. A spatial template independent component analysis model for subject-level brain network estimation and inference. https://arxiv.org/abs/2005.13388
Mejia AF, Koppelmans V, Jelsone-Swain L, Kalra S, and Welsh RC. Longitudinal surface-based spatial Bayesian GLM reveals complex trajectories of motor neurodegeneration in ALS. https://arxiv.org/abs/2110.01510
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. https://arxiv.org/abs/2106.06669
Pham DD, McDonald DJ, Ding L, Nebel MB and Mejia AF. Leverage scrubbing: a more effective, data-driven fMRI denoising method.
Pham DD, Muschelli J and Mejia AF. ciftiTools: A package for reading, writing, visualizing and manipulating CIFTI files in R. https://arxiv.org/abs/2106.11338
Rad KR, Yue YR, and Mejia AF. Bayesian trend filtering on graphs with an application to cortical-surface fMRI data analysis.
Noble S, Mejia AF, Zalesky A, Scheinost D. Leveling up: improving power in fMRI by moving beyond cluster-level inference. https://www.biorxiv.org/content/10.1101/2021.09.23.461354v1
Gaddis A*, Lidstone DE*, Nebel MB, Griffiths R, Mostofsky SH, Mejia AF, Barrett F. Psilocybin induces spatially constrained alterations in thalamic functional organization and connectivity. *Co-first authors
Mejia AF. Discussion on “Distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo. Biometrics (in press).
Murphy MC*, Mejia AF*, Mejia J*, Yan X*, [20 others], Mabry PL**, Ressl S**, Diekman A** and Pestilli F**. Open Science, Communal Culture, and Women’s Participation in the Movement to Improve Science. Proceedings of the National Academy of Science 117.39 (2020): 24154-24164. *Shared first authorship **Shared senior authorship
Mejia AF, Nebel MB, Wang Y, Caffo BS and Guo Y. Template ICA: Targeted and reliable estimation of subject-level brain networks using big data population priors. Journal of the American Statistical Association 115.531 (2020): 1151-1177.
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.
Mejia AF, Nebel MB, Barber AD, Choe AS, Pekar JJ, Caffo B and Lindquist MA. Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkage. NeuroImage 172 (2018): 478-491.
Pomann GM, Staicu AM, Lobaton E, Mejia AF, Dewey B, Reich DS, Sweeney E and Shinohara R. A lag functional linear model for prediction of magnetization transfer ratio in multiple sclerosis lesions. Annals of Applied Statistics 10.4 (2016): 2325-2348.
Mejia AF, Sweeney EM, Dewey B, Nair G, Sati P, Shea C, Reich D and Shinohara RT. Statistical estimation of T1 relaxation time using conventional magnetic resonance imaging. NeuroImage 113 (2016): 176-188.
Paik J, Wigley FM, Mejia AF, Hummers LK. Independent Association of Severity of Muscle Weakness with Disability as Measured by the Health Assessment Questionnaire Disability Index in Scleroderma. Arthritis Care and Research 68.11 (2016): 1695–1703.
Mejia AF, Nebel MB, Shou H, Crainiceanu CM, Pekar JJ, Mostofsky SH, Caffo B and Lindquist MA. Improving reliability of subject-level resting-state fMRI parcellations with shrinkage. NeuroImage 112 (2015): 14-29.
Shou H, Eloyan A, Nebel MB, Mejia AF, Pekar JJ, Mostofsky S, Caffo B, Lindquist MA and Crainiceanu, CM. Shrinkage prediction of seed-voxel brain connectivity using resting-state fMRI. NeuroImage (2014).
Ament K, Mejia A, Buhlman R, Erklin S, Caffo B, Mostofsky S, & Wodka E. Evidence for specificity of motor impairments in catching and balance in children with autism. Journal of Autism and Developmental Disorders (2014): 1-10.