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Molecular Neurodegeneration|April 21, 2016
Resequencing analysis of five Mendelian genes and the top genes from genome-wide association studies in Parkinson's DiseaseBruno A Benitez, Albert A Davis, Sheng Chih Jin, et al.
The Journal of Neuropsychiatry and Clinical Neurosciences|March 28, 2012
Mood response to deep brain stimulation of the subthalamic nucleus in Parkinson's diseaseMeghan C Campbell, Kevin J Black, Patrick M Weaver, et al.
Journal of Medicinal Chemistry|March 17, 2023
Discovery of a Promising Fluorine-18 Positron Emission Tomography Radiotracer for Imaging Sphingosine-1-Phosphate Receptor 1 in the BrainLin Qiu, Hao Jiang, Charles Zhou, et al.
Operative Neurosurgery (Hagerstown, Md.)|January 14, 2025
Planned Surgical Trajectory Affects Clinical Motor Outcome in Deep Brain Stimulation Targeted at Subthalamic Nucleus for Parkinson's DiseaseLaura S Wang, John R Younce, Mikhail Milchenko, et al.
Organic & Biomolecular Chemistry|January 14, 2022
Radiosynthesis and evaluation of a fluorine-18 radiotracer [18F]FS1P1 for imaging sphingosine-1-phosphate receptor 1Lin Qiu, Hao Jiang, Yanbo Yu, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 17, 2008
Dopaminergic suppression of brain deactivation responses during sequence learningMiklos Argyelan, Maren Carbon, Maria-Felice Ghilardi, et al.
Annals of Neurology|July 3, 2003
Impaired sequence learning in carriers of the DYT1 dystonia mutationMaria-Felice Ghilardi, Maren Carbon, Giulia Silvestri, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|February 24, 2012
Improved sequence learning with subthalamic nucleus deep brain stimulation: evidence for treatment-specific network modulationHideo Mure, Chris C Tang, Miklos Argyelan, et al.
Cerebral Cortex (New York, N.Y. : 1991)|June 20, 2021
Cognition-Related Functional Topographies in Parkinson's Disease: Localized Loss of the Ventral Default Mode NetworkKatharina A Schindlbeck, An Vo, Paul J Mattis, et al.
Frontiers in Aging Neuroscience|November 21, 2022
Automated differential diagnosis of dementia syndromes using FDG PET and machine learningMatej Perovnik, An Vo, Nha Nguyen, et al.
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