Research

My Google Scholars page

Publications
Hsu, W.-T., Rosenberg, M. D., Scheinost, D., Constable, R. T., Chun, M. M. (2018). Resting-state functional connectivity predicts neuroticism and extraversion in novel individuals. Social Cognitive Affective Neuroscience, 13(2): 224-232.

Lin, Q., Rosenberg, M. D., Yoo, K., Hsu, W.-T., O’Connell, T. P., Chun, M. M. (accepted). Resting-state functional connectivity predicts cognitive impairment related to Alzheimer's disease. Frontiers in Aging Neuroscience.

Yoo, K., Rosenberg, M. D., Hsu, W.-T., Zhang, S., Li, C.-S.R., Scheinost, D., Constable, R. T., Chun, M. M. (2018). Connectome-based predictive modeling of sustained attention: Comparing different functional connectivity measures and prediction methods across datasets. Neuroimage, 167, 11-12.

Rosenberg, M. D., Hsu, W.-T., Scheinost, D., Constable, R. T., Chun, M. M. (2018). Connectome-based models predict separable components of attention in novel individuals. Journal of Cognitive Neuroscience, 30(2): 160-173.

Rosenberg, M. D., Zhang, S., Hsu, W.-T., Scheinost, D., Finn, E. S., Shen, X., Constable, R. T., Li, C.-S. R., Chun, M. M. (2016). Methylphenidate modulates functional network connectivity to enhance attention. Journal of Neuroscience, 36(37): 9547–9557. [PDF]
 

Conference Presentations
Hsu, W.-T., Rosenberg, M. D., Scheinost, D., Finn, E. S., Constable, R. T., Chun, M. M. Resting-state functional connectivity in large-scale brain networks predicts neuroticism and extraversion in novel individuals. Poster for Cognitive Neuroscience Society, San Francisco, CA, 2017. [PDF]