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Movement Disorders : Official Journal of the Movement Disorder Society|March 10, 2010
Long-term results of a multicenter study on subthalamic and pallidal stimulation in Parkinson's diseaseElena Moro, Andres M Lozano, Pierre Pollak, et al.
Frontiers in Human Neuroscience|June 15, 2017
Differential Functional Connectivity Alterations of Two Subdivisions within the Right dlPFC in Parkinson's DiseaseJulian Caspers, Christian Mathys, Felix Hoffstaedter, et al.
Brain Stimulation|February 19, 2022
The degree of cortical plasticity correlates with cognitive performance in patients with Multiple SclerosisCarolin Balloff, Iris-Katharina Penner, Meng Ma, et al.
Biorxiv : the Preprint Server for Biology|May 22, 2023
Application of a 1H Brain MRS Benchmark Dataset to Deep Learning for Out-of-Voxel ArtifactsAaron T Gudmundson, Christopher W Davies-Jenkins, İpek Özdemir, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Application of a 1H brain MRS benchmark dataset to deep learning for out-of-voxel artifactsAaron T Gudmundson, Christopher W Davies-Jenkins, İpek Özdemir, et al.
The British Journal of Radiology|April 18, 2019
Machine-learning identifies Parkinson's disease patients based on resting-state between-network functional connectivityChristian Rubbert, Christian Mathys, Christiane Jockwitz, et al.
Parkinsonism & Related Disorders|February 26, 2023
Multidomain cognitive training increases physical activity in people with Parkinson's disease with mild cognitive impairmentMerle Bode, Patricia Sulzer, Claudia Schulte, et al.
Brain Stimulation|September 26, 2018
Neurostimulation in tardive dystonia/dyskinesia: A delayed start, sham stimulation-controlled randomized trialDoreen Gruber, Martin Südmeyer, Günther Deuschl, et al.
BMC Infectious Diseases|December 1, 2019
Meningitis gone viral: description of the echovirus wave 2013 in GermanyJonas Graf, Christian J Hartmann, Helmar C Lehmann, et al.
Movement Disorders : Official Journal of the Movement Disorder Society|July 26, 2016
Differentiation of neurodegenerative parkinsonian syndromes by volumetric magnetic resonance imaging analysis and support vector machine classificationHans-Jürgen Huppertz, Leona Möller, Martin Südmeyer, et al.
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