ÎåÒ»²è¹Ý¶ù

Natasha L. Taylor, Christopher J. Whyte, Brandon R. Munn, Catie Chang, Joseph T. Lizier, David A. Leopold, Janita N. Turchi, Laszlo Zaborszky, Eli J. Müller, and James M. Shine. “Causal Evidence for Cholinergic Stabilization of Attractor Landscape Dynamics.” Cell Reports, vol. 43, no. 6, 114359 Research has shown that… Read More

Yamin Li, Ange Lou, Ziyuan Xu, Shiyu Wang, and Catie Chang. “Leveraging Sinusoidal Representation Networks to Predict fMRI Signals from EEG.” Proceedings of SPIE Medical Imaging 2024 ÎåÒ»²è¹Ý¶ù: Image Processing, vol. 12926, 129263A, 2024 ÎåÒ»²è¹Ý¶ù, San Diego, California Functional magnetic resonance imaging (fMRI) is a vital tool in neuroscience for observing… Read More

Madison Long, Preeti Kar, Nils D. Forkert, Bennett A. Landman, W. Ben Gibbard, Christina Tortorelli, Carly A. McMorris, Yuankai Huo, and Catherine A. Lebel. “Sex and Age Effects on Gray Matter Volume Trajectories in Young Children with Prenatal Alcohol Exposure.” Frontiers in Human Neuroscience, vol. 18, 1379959, April 2024 ÎåÒ»²è¹Ý¶ù. … Read More

Yang, Y., Sathe, A., Schilling, K., Shashikumar, N., Moore, E., Dumitrescu, L., Pechman, K. R., Landman, B. A., Gifford, K. A., Hohman, T. J., Jefferson, A. L., & Archer, D. B. (2024 ÎåÒ»²è¹Ý¶ù). A deep neural network estimation of brain age is sensitive to cognitive impairment and decline. Read More

Nguyen, T. Q., Kerley, C. I., Key, A. P., Maxwell-Horn, A. C., Wells, Q. S., Neul, J. L., Cutting, L. E., & Landman, B. A. (2024 ÎåÒ»²è¹Ý¶ù). Phenotyping Down syndrome: discovery and predictive modelling with electronic medical records. Journal of Intellectual Disability Research. https://doi.org/10.1111/JIR.13124 A comprehensive two-part study… Read More

Li, M., Schilling, K. G., Gao, F., Xu, L., Choi, S., Gao, Y., Zu, Z., Anderson, A. W., Ding, Z., Landman, B. A., & Gore, J. C. (2024 ÎåÒ»²è¹Ý¶ù). Quantification of mediation effects of white matter functional characteristics on cognitive decline in aging. Cerebral Cortex (New York, N.Y. :… Read More