Song, J. Y., Fleysher, R., Ye, K., Kim, M., Zimmerman, M. E., Lipton, R. B., & Lipton, M. L. (2025). Characterizing the microstructural transition at the gray matter-white matter interface: Implementation and demonstration of age-associated differences. NeuroImage, 306, 121019. https://doi.org/10.1016/j.neuroimage.2025.121019

Zinn, S., Dragovic, S. Z., Kloka, J. A., Willems, L. M., Harder, S., Kratzer, S., Zacharowski, K. D., Schneider, G., García, P. S., & Kreuzer, M. (2025). Parametrization of the dying brain: A case report from ICU bed-side EEG monitoring. NeuroImage, 305, 120980. https://doi.org/10.1016/j.neuroimage.2024.120980

Vandewouw, M. M., Norris-Brilliant, A., Rahman, A., Assimopoulos, S., Morton, S. U., Kushki, A., Cunningham, S., King, E., Goldmuntz, E., Miller, T. A., Thomas, N. H., Adams, H. R., Cleveland, J., Cnota, J. F., Ellen Grant, P., Goldberg, C. S., Huang, H., Li, J. S., McQuillen, P., … Anagnostou, E. (2024). Identifying novel data-driven subgroups in congenital heart disease using multi-modal measures of brain structure. NeuroImage, 297, 120721. https://doi.org/10.1016/j.neuroimage.2024.120721

Zhu, X., Kim, Y., Ravid, O., He, X., Suarez-Jimenez, B., Zilcha-Mano, S., Lazarov, A., Lee, S., Abdallah, C. G., Angstadt, M., Averill, C. L., Baird, C. L., Baugh, L. A., Blackford, J. U., Bomyea, J., Bruce, S. E., Bryant, R. A., Cao, Z., Choi, K., … Morey, R. A. (2023). Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium. NeuroImage, 283, 120412. https://doi.org/10.1016/j.neuroimage.2023.120412

Zhou, Y. J., Ramchandran, A., & Haegens, S. (2023). Alpha oscillations protect working memory against distracters in a modality-specific way. NeuroImage, 278, 120290. https://doi.org/10.1016/j.neuroimage.2023.120290

Argiris, G., Stern, Y., Lee, S., Ryu, H., & Habeck, C. (2023). Simple topological task-based functional connectivity features predict longitudinal behavioral change of fluid reasoning in the RANN cohort. NeuroImage, 277, 120237. https://doi.org/10.1016/j.neuroimage.2023.120237

McSweeney, M., Morales, S., Valadez, E. A., Buzzell, G. A., Yoder, L., Fifer, W. P., Pini, N., Shuffrey, L. C., Elliott, A. J., Isler, J. R., & Fox, N. A. (2023). Age-related trends in aperiodic EEG activity and alpha oscillations during early- to middle-childhood. NeuroImage, 269, 119925. https://doi.org/10.1016/j.neuroimage.2023.119925

Sun, D., Rakesh, G., Haswell, C. C., Logue, M., Baird, C. L., O’Leary, E. N., Cotton, A. S., Xie, H., Tamburrino, M., Chen, T., Dennis, E. L., Jahanshad, N., Salminen, L. E., Thomopoulos, S. I., Rashid, F., Ching, C. R. K., Koch, S. B. J., Frijling, J. L., Nawijn, L., … Morey, R. A. (2022). A comparison of methods to harmonize cortical thickness measurements across scanners and sites. NeuroImage, 261, 119509. https://doi.org/10.1016/j.neuroimage.2022.119509

Laurell, G. L., Plavén-Sigray, P., Svarer, C., Ogden, R. T., Knudsen, G. M., & Schain, M. (2022). Designing drug occupancy studies with PET neuroimaging: Sample size, occupancy ranges and analytical methods. NeuroImage, 263, 119620. https://doi.org/10.1016/j.neuroimage.2022.119620

Zhang, G., Cai, B., Zhang, A., Tu, Z., Xiao, L., Stephen, J. M., Wilson, T. W., Calhoun, V. D., & Wang, Y.-P. (2022). Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model. NeuroImage, 260, 119451. https://doi.org/10.1016/j.neuroimage.2022.119451

Dumais, F., Caceres, M. P., Janelle, F., Seifeldine, K., Arès-Bruneau, N., Gutierrez, J., Bocti, C., & Whittingstall, K. (2022). eICAB: A novel deep learning pipeline for Circle of Willis multiclass segmentation and analysis. NeuroImage, 260, 119425. https://doi.org/10.1016/j.neuroimage.2022.119425

Zhu, X., Liu, Y., Habeck, C. G., Stern, Y., Lee, S., & for-the-Alzheimer’s-Disease-Neuroimaging-Initiative. (2022). Transfer learning for cognitive reserve quantification. NeuroImage, 258, 119353. https://doi.org/10.1016/j.neuroimage.2022.119353

Steffener, J., Habeck, C., Franklin, D., Lau, M., Yakoub, Y., & Gad, M. (2022). Subjective difficulty in a verbal recognition-based memory task: Exploring brain-behaviour relationships at the individual level in healthy young adults. NeuroImage, 257, 119301. https://doi.org/10.1016/j.neuroimage.2022.119301

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

Gruskin, D. C., & Patel, G. H. (2022). Brain connectivity at rest predicts individual differences in normative activity during movie watching. NeuroImage, 253, 119100. https://doi.org/10.1016/j.neuroimage.2022.119100

Dou, W., Morrow, A., Iemi, L., & Samaha, J. (2022). Pre-stimulus alpha-band phase gates early visual cortex responses. NeuroImage, 253, 119060. https://doi.org/10.1016/j.neuroimage.2022.119060

Williams, J. C., Tubiolo, P. N., Luceno, J. R., & Van Snellenberg, J. X. (2022). Advancing motion denoising of multiband resting-state functional connectivity fMRI data. NeuroImage, 249, 118907. https://doi.org/10.1016/j.neuroimage.2022.118907

Bartlett, E. A., Ogden, R. T., Mann, J. J., & Zanderigo, F. (2022). Source‐to‐Target Automatic Rotating Estimation (STARE) – A publicly‐available, blood‐free quantification approach for PET tracers with irreversible kinetics: Theoretical framework and validation for [18F]FDG. NeuroImage, 249, 118901. https://doi.org/10.1016/j.neuroimage.2022.118901

Iemi, L., Gwilliams, L., Samaha, J., Auksztulewicz, R., Cycowicz, Y. M., King, J.-R., Nikulin, V. V., Thesen, T., Doyle, W., Devinsky, O., Schroeder, C. E., Melloni, L., & Haegens, S. (2022). Ongoing neural oscillations influence behavior and sensory representations by suppressing neuronal excitability. NeuroImage, 247, 118746. https://doi.org/10.1016/j.neuroimage.2021.118746

Varangis, E., Qi, W., Stern, Y., & Lee, S. (2022). The role of neural flexibility in cognitive aging. NeuroImage, 247, 118784. https://doi.org/10.1016/j.neuroimage.2021.118784