Gina Norato is a Statistician in the NINDS Intramural Research Program. Ms. Norato joined the group and the Office of Biostatistics in June 2016. As a member of the Office of Biostatistics, she provides statistical support for NINDS investigators, students, and fellows. Primarily, she conducts analyses for collaborative projects within NINDS, and assists with manuscript preparation. Additionally, she provides consultation for statistical questions, such as proper statistical methodology or interpretation of model results. She also educates on statistical methods through lecture series and scientific journal clubs.
Ms. Norato received her BS in Neuroscience from Dickinson College in 2012. For two years, she worked as a full-time research assistant on ischemic and hemorrhagic stroke trials at both Georgetown University and the University of Arizona. Subsequently, she obtained an ScM in Biostatistics from Johns Hopkins Bloomberg School of Public Health in 2016, with supplemental coursework in clinical trials. Ms. Norato has experience in both R and SAS programming.
1. Hayes LH, Yun P, Mohassel P, Norato G, et al. (2020). Hypoglycemia in patients with congenital muscle disease. BMC pediatrics, 20(1); 57.
2. Jain MS, Meilleur K, Kim E, Norato G, et al. (2019). Longitudinal changes in clinical outcome measurements in COL6-related dystrophies and LAMA2-related dystrophies. Neurology, 93(21); e1932-1943.
3. Hussain SJ, Claudino L, Bonstrup M, Norato G et al. (2019). Sensorimotor oscillatory phase-power interaction gates resting human corticospinal output. Cerebral Cortex, 29(9); 3766-3777.
4. You X, Zachery AN, Fanto EJ, Norato G et al. (2019). fMRI prediction of naming change after adult temporal lobe epilepsy surgery: Activation matters. Epilepsia, 60(3); 527-538.
5. Bensken W, Hansen AK, Norato G et al. (2018). Physician-scientists in neurology: research contributions of a cohort of neurologists. Neurology, 91(11); 508-514.
6. Mankodi A, Kovacs W, Norato G et al (2017). Respiratory magnetic resonance imaging biomarkers in Duchenne muscular dystrophy. Annals of Clinical and Translational Neurology, 4(9); 655-662.
7. Simpkins AN, Dias C, Norato G, Kim E, Leigh R (2017). Early changes in stroke size performs best in predicting response to therapy. Cerebrovascular Diseases, 44(3-4); 141-149.