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Journal of Neurophysiology|November 3, 2017
Electroencephalographic connectivity measures predict learning of a motor sequencing taskJennifer Wu, Franziska Knapp, Steven C Cramer, et al.Neuroimage|January 30, 2014
Resting-state cortical connectivity predicts motor skill acquisitionJennifer Wu, Ramesh Srinivasan, Arshdeep Kaur, et al.Stroke|August 22, 2024
EEG Provides Insights Into Motor Control and Neuroplasticity During Stroke RecoveryCélia Delcamp, Ramesh Srinivasan, Steven C CramerStroke|January 23, 2023
A Measure of Neural Function Provides Unique Insights into Behavioral Deficits in Acute StrokeBenjamin Vanderschelden, Fareshte Erani, Jennifer Wu, et al.Journal of Neurophysiology|March 4, 2016
Utility of EEG measures of brain function in patients with acute strokeJennifer Wu, Ramesh Srinivasan, Erin Burke Quinlan, et al.Frontiers in Neuroscience|September 9, 2015
An exploratory data analysis of electroencephalograms using the functional boxplots approachDuy Ngo, Ying Sun, Marc G Genton, et al.Frontiers in Neuroscience|August 27, 2024
Altered brain function during movement programming is linked with motor deficits after stroke: a high temporal resolution studyCélia Delcamp, Alexandre Chalard, Ramesh Srinivasan, et al.Neurorehabilitation and Neural Repair|April 6, 2026
Mapping Brain Function After Stroke: From Early Disorganization to Late CompensationCélia Delcamp, Zhibin Zhou, Ramesh Srinivasan, et al.Stroke|April 18, 2020
Low-Frequency Oscillations Are a Biomarker of Injury and Recovery After StrokeJessica M Cassidy, Anirudh Wodeyar, Jennifer Wu, et al.Human Brain Mapping|August 26, 2021
Coherent neural oscillations inform early stroke motor recoveryJessica M Cassidy, Anirudh Wodeyar, Ramesh Srinivasan, et al.Pageof 50