McDonnell, E. I., Xie, S., Marder, K., Cui, F., & Wang, Y. (2024). Dynamic undirected graphical models for time‐varying clinical symptom and neuroimaging networks. Statistics in Medicine, 43(21), 4131–4147. Portico. https://doi.org/10.1002/sim.10143

Ekhtiari, H., Zare-Bidoky, M., Sangchooli, A., Valyan, A., Abi-Dargham, A., Cannon, D. M., Carter, C. S., Garavan, H., George, T. P., Ghobadi-Azbari, P., Juchem, C., Krystal, J. H., Nichols, T. E., Öngür, D., Pernet, C. R., Poldrack, R. A., Thompson, P. M., & Paulus, M. P. (2024). Reporting checklists in neuroimaging: promoting transparency, replicability, and reproducibility. Neuropsychopharmacology, 50(1), 67–84. https://doi.org/10.1038/s41386-024-01973-5

Telesford, Q. K., Gonzalez-Moreira, E., Xu, T., Tian, Y., Colcombe, S. J., Cloud, J., Russ, B. E., Falchier, A., Nentwich, M., Madsen, J., Parra, L. C., Schroeder, C. E., Milham, M. P., & Franco, A. R. (2023). An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI. Scientific Data, 10(1). https://doi.org/10.1038/s41597-023-02458-8

Scheinost, D., Pollatou, A., Dufford, A. J., Jiang, R., Farruggia, M. C., Rosenblatt, M., Peterson, H., Rodriguez, R. X., Dadashkarimi, J., Liang, Q., Dai, W., Foster, M. L., Camp, C. C., Tejavibulya, L., Adkinson, B. D., Sun, H., Ye, J., Cheng, Q., Spann, M. N., … Westwater, M. L. (2023). Machine Learning and Prediction in Fetal, Infant, and Toddler Neuroimaging: A Review and Primer. Biological Psychiatry, 93(10), 893–904. https://doi.org/10.1016/j.biopsych.2022.10.014

Korom, M., Catalina Camacho, M., Ford, A., Taha, H., Scheinost, D., Spann, M., Vaughn, K. A., Vaughn, K. A., Arichi, T., Aydin, E., Camacho, M. C., Dapretto, M., Ford, A., Graham, A., Gregg, C., Hendrix, C. L., Howell, B., Korom, M., Lajous, H., … Zollei, L. (2023). An Opportunity to Increase Collaborative Science in Fetal, Infant, and Toddler Neuroimaging. Biological Psychiatry, 93(10), 864–866. https://doi.org/10.1016/j.biopsych.2022.07.005

Keyes, K. M., Kreski, N. T., Joseph, V. A., Hamilton, A. D., Hatzenbuehler, M. L., McLaughlin, K. A., & Weissman, D. G. (2023). What Is Not Measured Cannot Be Counted: Sample Characteristics Reported in Studies of Hippocampal Volume and Depression in Neuroimaging Studies. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 8(5), 492–494. https://doi.org/10.1016/j.bpsc.2023.01.007

Matheson, G. J., & Ogden, R. T. (2022). Simultaneous multifactor Bayesian analysis (SiMBA) of PET time activity curve data. NeuroImage, 256, 119195. https://doi.org/10.1016/j.neuroimage.2022.119195

Pollatou, A., Filippi, C. A., Aydin, E., Vaughn, K., Thompson, D., Korom, M., Dufford, A. J., Howell, B., Zöllei, L., Martino, A. D., Graham, A., Scheinost, D., & Spann, M. N. (2022). An ode to fetal, infant, and toddler neuroimaging: Chronicling early clinical to research applications with MRI, and an introduction to an academic society connecting the field. Developmental Cognitive Neuroscience, 54, 101083. https://doi.org/10.1016/j.dcn.2022.101083

Korom, M., Camacho, M. C., Filippi, C. A., Licandro, R., Moore, L. A., Dufford, A., Zöllei, L., Graham, A. M., Spann, M., Howell, B., Shultz, S., & Scheinost, D. (2022). Dear reviewers: Responses to common reviewer critiques about infant neuroimaging studies. Developmental Cognitive Neuroscience, 53, 101055. https://doi.org/10.1016/j.dcn.2021.101055