Functional connectivity: Shrinkage estimation and randomization test. - Mark Fiecas; Hernando Ombao; Crystal Linkletter; Wesley K. Thompson; Jerome N. Sanes (NeuroImage, 2010)

Hierarchical vector auto-regressive models and their applications to multi-subject effective connectivity. - Cristina Gorrostieta; Mark Fiecas; Hernando Ombao; Erin Burke; Steven C. Cramer (Frontiers Comput. Neurosci., 2013)

Quantifying temporal correlations: A test-retest evaluation of functional connectivity in resting-state fMRI. - Mark Fiecas; Hernando Ombao; Dan van Lunen; Richard Baumgartner; Alexandre Coimbra; Dai Feng (NeuroImage, 2013)

Is bigger always better? The importance of cortical configuration with respect to cognitive ability. - Eero Vuoksimaa; Matthew S. Panizzon; Chi-Hua Chen; Mark Fiecas; Lisa T. Eyler; Christine Fennema-Notestine; Donald J. Hagler Jr.; Carol E. Franz; Amy J. Jak; Michael J. Lyons 002; Michael C. Neale; Daniel A. Rinker; et al. (NeuroImage, 2016)

A variance components model for statistical inference on functional connectivity networks. - Mark Fiecas; Ivor Cribben; Reyhaneh Bakhtiari; Jacqueline Cummine (NeuroImage, 2017)

A longitudinal model for functional connectivity networks using resting-state fMRI. - Brian Hart; Ivor Cribben; Mark Fiecas; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2018)

Statistical models for brain signals with properties that evolve across trials. - Hernando C. Ombao; Mark Fiecas; Chee-Ming Ting; Yin Fen Low (NeuroImage, 2018)

Bayesian GWAS with Structured and Non-Local Priors. - Adam Kaplan; Eric F. Lock; Mark Fiecas; Alzheimer's Disease Neuroimaging Initiative (Bioinform., 2020)

Semiparametric modeling of time-varying activation and connectivity in task-based fMRI data. - Jun Young Park; Jörg Polzehl; Snigdhansu Chatterjee; André Brechmann; Mark Fiecas (Comput. Stat. Data Anal., 2020)

Transcranial direct current stimulation (tDCS) elicits stimulus-specific enhancement of cortical plasticity. - Elias Boroda; Scott R. Sponheim; Mark Fiecas; Kelvin O. Lim (NeuroImage, 2020)

Permutation-based inference for spatially localized signals in longitudinal MRI data. - Jun Young Park; Mark Fiecas; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2021)

Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels. - Guilllermo Granados-Garcia; Mark Fiecas; Babak Shahbaba; Norbert Fortin; Hernando C. Ombao (Comput. Stat. Data Anal., 2022)

CLEAN: Leveraging spatial autocorrelation in neuroimaging data in clusterwise inference. - Jun Young Park; Mark Fiecas (NeuroImage, 2022)

Characterizing the effects of age, puberty, and sex on variability in resting-state functional connectivity in late childhood and early adolescence. - Kelly A. Duffy; Andrea Wiglesworth; Donovan Roediger; Ellery Island; Bryon A. Mueller; Monica Luciana; Bonnie Klimes-Dougan; Kathryn R. Cullen; Mark Fiecas (NeuroImage, 2025)