Jennifer Wu

Electroencephalographic connectivity measures predict learning of a motor sequencing task.

R. Srinivasan, S. Cramer, Jennifer Wu, 2018, Journal of neurophysiology.

Utility of EEG measures of brain function in patients with acute stroke.

Ramesh Srinivasan, Jennifer Wu, Steven C Cramer, 2016, Journal of neurophysiology.

Connectivity measures are robust biomarkers of cortical function and plasticity after stroke.

Lucy Dodakian, Ramesh Srinivasan, Jennifer Wu, 2015, Brain : a journal of neurology.

Electroencephalography Measures are Useful for Identifying Large Acute Ischemic Stroke in the Emergency Department.

R. Srinivasan, S. Cramer, J. Cassidy, 2019, Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association.

Electroencephalography Might Improve Diagnosis of Acute Stroke and Large Vessel Occlusion

B. Shahbaba, R. Srinivasan, S. Cramer, 2020, Stroke.

Resting-state cortical connectivity predicts motor skill acquisition

Steven C. Cramer, Ramesh Srinivasan, Jennifer Wu, 2014, NeuroImage.

A system for addressing incidental findings in neuroimaging research

Steven C. Cramer, Vu Le, Jennifer Wu, 2011, NeuroImage.

Low-Frequency Oscillations Are a Biomarker of Injury and Recovery After Stroke

R. Srinivasan, S. Cramer, J. Cassidy, 2020, Stroke.

Gains Across WHO Dimensions of Function After Robot-Based Therapy in Stroke Subjects

S. Cramer, V. Le, J. See, 2020, Neurorehabilitation and neural repair.

A Measure of Neural Function Provides Unique Insights into Behavioral Deficits in Acute Stroke

R. Srinivasan, A. D. de Havenon, Jennifer Wu, 2023, Stroke.

An exploratory data analysis of electroencephalograms using the functional boxplots approach

Hernando Ombao, Ramesh Srinivasan, Ying Sun, 2015, Front. Neurosci..