Monica D. Rosenberg

Orcid: 0000-0001-6179-4025

According to our database1, Monica D. Rosenberg authored at least 17 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2022
A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome.
NeuroImage, 2022

An open-access accelerated adult equivalent of the ABCD Study neuroimaging dataset (a-ABCD).
NeuroImage, 2022

Associations among Household and Neighborhood Socioeconomic Disadvantages, Resting-state Frontoamygdala Connectivity, and Internalizing Symptoms in Youth.
J. Cogn. Neurosci., 2022

2021
Functional connectivity patterns predict naturalistic viewing versus rest across development.
NeuroImage, 2021

Beyond fingerprinting: Choosing predictive connectomes over reliable connectomes.
NeuroImage, 2021

2020
Overlapping attentional networks yield divergent behavioral predictions across tasks: Neuromarkers for diffuse and focused attention?
NeuroImage, 2020

Connectome-based neurofeedback: A pilot study to improve sustained attention.
NeuroImage, 2020

Relationships between depressive symptoms and brain responses during emotional movie viewing emerge in adolescence.
NeuroImage, 2020

Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals.
J. Cogn. Neurosci., 2020

2019
Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors.
NeuroImage, 2019

Ten simple rules for predictive modeling of individual differences in neuroimaging.
NeuroImage, 2019

Connectome-based models predict attentional control in aging adults.
NeuroImage, 2019

Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies.
NeuroImage, 2019

2018
Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets.
NeuroImage, 2018

A functional connectivity-based neuromarker of sustained attention generalizes to predict recall in a reading task.
NeuroImage, 2018

Connectome-based Models Predict Separable Components of Attention in Novel Individuals.
J. Cogn. Neurosci., 2018

2015
Predicting moment-to-moment attentional state.
NeuroImage, 2015


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