Monica D. Rosenberg

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 16

Top Topics

Functional Connectivity

Predictive Modeling

Individual Differences

Top Venues

J. Cogn. Neurosci.

Publications

Kristina Rapuano, May I. Conley, Anthony C. Juliano, Gregory M. Conan, Maria T. Maza, Kylie Woodman, Steven A. Martinez, Eric A. Earl, Anders Perrone, Eric Feczko, Damien A. Fair, Richard Watts, B. J. Casey, Monica D. Rosenberg
An open-access accelerated adult equivalent of the ABCD Study neuroimaging dataset (a-ABCD). NeuroImage 255 (2022)
Kwangsun Yoo, Monica D. Rosenberg, Young Hye Kwon, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome. NeuroImage 257 (2022)
Ka I. Ip, Lucinda M. Sisk, Corey Horien, May I. Conley, Kristina M. Rapuano, Monica D. Rosenberg, Abigail S. Greene, Dustin Scheinost, R. Todd Constable, B. J. Casey, Arielle Baskin-Sommers, Dylan G. Gee
Associations among Household and Neighborhood Socioeconomic Disadvantages, Resting-state Frontoamygdala Connectivity, and Internalizing Symptoms in Youth. J. Cogn. Neurosci. 34 (10) (2022)
Sara Sanchez-Alonso, Monica D. Rosenberg, Richard N. Aslin
Functional connectivity patterns predict naturalistic viewing versus rest across development. NeuroImage 229 (2021)
Emily S. Finn, Monica D. Rosenberg
Beyond fingerprinting: Choosing predictive connectomes over reliable connectomes. NeuroImage 239 (2021)
Emily W. Avery, Kwangsun Yoo, Monica D. Rosenberg, Abigail S. Greene, Siyuan Gao, Duk L. Na, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals. J. Cogn. Neurosci. 32 (2) (2020)
Esther X. W. Wu, Gwenisha J. Liaw, Rui Zhe Goh, Tiffany T. Y. Chia, Alisia M. J. Chee, Takashi Obana, Monica D. Rosenberg, B. T. Thomas Yeo, Christopher L. Asplund
Overlapping attentional networks yield divergent behavioral predictions across tasks: Neuromarkers for diffuse and focused attention? NeuroImage 209 (2020)
Dustin Scheinost, Tiffany W. Hsu, Emily W. Avery, Michelle Hampson, R. Todd Constable, Marvin M. Chun, Monica D. Rosenberg
Connectome-based neurofeedback: A pilot study to improve sustained attention. NeuroImage 212 (2020)
David C. Gruskin, Monica D. Rosenberg, Avram J. Holmes
Relationships between depressive symptoms and brain responses during emotional movie viewing emerge in adolescence. NeuroImage 216 (2020)
Dustin Scheinost, Stephanie Noble, Corey Horien, Abigail S. Greene, Evelyn M. R. Lake, Mehraveh Salehi, Siyuan Gao, Xilin Shen, David O'Connor, Daniel S. Barron, Sarah W. Yip, Monica D. Rosenberg, R. Todd Constable
Ten simple rules for predictive modeling of individual differences in neuroimaging. NeuroImage 193 (2019)
Angus Ho Ching Fong, Kwangsun Yoo, Monica D. Rosenberg, Sheng Zhang, Chiang-shan Ray Li, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies. NeuroImage 188 (2019)
Kwangsun Yoo, Monica D. Rosenberg, Stephanie Noble, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors. NeuroImage 197 (2019)
Stephanie Fountain-Zaragoza, Shaadee Samimy, Monica D. Rosenberg, Ruchika Shaurya Prakash
Connectome-based models predict attentional control in aging adults. NeuroImage 186 (2019)
Kwangsun Yoo, Monica D. Rosenberg, Wei-Ting Hsu, Sheng Zhang, Chiang-shan Ray Li, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets. NeuroImage 167 (2018)
David C. Jangraw, Javier Gonzalez-Castillo, Daniel A. Handwerker, Merage Ghane, Monica D. Rosenberg, Puja Panwar, Peter A. Bandettini
A functional connectivity-based neuromarker of sustained attention generalizes to predict recall in a reading task. NeuroImage 166 (2018)
Monica D. Rosenberg, Wei-Ting Hsu, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
Connectome-based Models Predict Separable Components of Attention in Novel Individuals. J. Cogn. Neurosci. 30 (2) (2018)
Monica D. Rosenberg, Emily S. Finn, R. Todd Constable, Marvin M. Chun
Predicting moment-to-moment attentional state. NeuroImage 114 (2015)