Adenosine methylation in Arabidopsis mRNA is associated with the 3’ end and reduced levels cause developmental defects by Zsuzsanna eBodi, Silin eZhong, Silin eZhong, Surbhi eMehra, Jie eSong, Jie eSong, Hongying eLi, Hongying eLi, Neil eGraham, Sean eMay, Rupert George Fray

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Characterizing functional connectivity differences in aging adults using machine learning on resting state fMRI data by Svyatoslav eVergun, Svyatoslav eVergun, Alok eDeshpande, Alok eDeshpande, Timothy B. Meier, Timothy B. Meier, Jie eSong, Jie eSong, Dana L. Tudorascu, Veena A. Nair, Vikas eSingh, Bharat B. Biswal, Mary Elizabeth Meyerand, Mary Elizabeth Meyerand, Mary Elizabeth Meyerand, Mary Elizabeth Meyerand, Rasmus M. Birn, Rasmus M. Birn, Rasmus M. Birn, Vivek ePrabhakaran, Vivek ePrabhakaran, Vivek ePrabhakaran, Vivek ePrabhakaran

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Dose-response relationships using brain-computer interface technology impact stroke rehabilitation by Brittany Mei Young, Zack eNigogosyan, Leo eWalton, Alexander eRemsik, Jie eSong, Veena A Nair, Mitchell E Tyler, Dorothy Farrar Edwards, Kristin eCaldera, Justin A Sattin, Justin C Williams, Vivek ePrabhakaran

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DTI Measures Track and Predict Motor Function Outcomes in Stroke Rehabilitation Utilizing BCI Technology by Jie eSong, Jie eSong, Veena A Nair, Brittany Mei Young, Brittany Mei Young, Brittany Mei Young, Leo M Walton, Leo M Walton, Zack eNigogosyan, Alexander B Remsik, Mitchell E Tyler, Mitchell E Tyler, Dorothy Farrar Edwards, Dorothy Farrar Edwards, Dorothy Farrar Edwards, Kristin E Caldera, Justin A Sattin, Justin C Williams, Justin C Williams, Justin C Williams, Vivek ePrabhakaran, Vivek ePrabhakaran, Vivek ePrabhakaran, Vivek ePrabhakaran, Vivek ePrabhakaran, Vivek ePrabhakaran, Vivek ePrabhakaran

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