 Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Daniel Kramer and Drew Kern.
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Connection Strength |
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0.448 |
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Thompson JA, Hirt L, David-Gerecht P, Fasano A, Kramer DR, Ojemann SG, Kern DS. Comparison of Monopolar Review to Fixed Parameter Fractionation in Deep Brain Stimulation. Mov Disord Clin Pract. 2023 Jun; 10(6):987-991.
Score: 0.227
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Radcliffe EM, Baumgartner AJ, Kern DS, Al Borno M, Ojemann S, Kramer DR, Thompson JA. Oscillatory beta dynamics inform biomarker-driven treatment optimization for Parkinson's disease. J Neurophysiol. 2023 06 01; 129(6):1492-1504.
Score: 0.057
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Lewis S, Radcliffe E, Ojemann S, Kramer DR, Hirt L, Case M, Holt-Becker AB, Raike R, Kern DS, Thompson JA. Pilot Study to Investigate the Use of In-Clinic Sensing to Identify Optimal Stimulation Parameters for Deep Brain Stimulation Therapy in Parkinson's Disease. Neuromodulation. 2024 Apr; 27(3):509-519.
Score: 0.056
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Tekriwal A, Baker S, Christensen E, Petersen-Jones H, Tien RN, Ojemann SG, Kern DS, Kramer DR, Felsen G, Thompson JA. Quantifying neuro-motor correlations during awake deep brain stimulation surgery using markerless tracking. Sci Rep. 2022 10 27; 12(1):18120.
Score: 0.055
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Baker S, Tekriwal A, Felsen G, Christensen E, Hirt L, Ojemann SG, Kramer DR, Kern DS, Thompson JA. Automatic extraction of upper-limb kinematic activity using deep learning-based markerless tracking during deep brain stimulation implantation for Parkinson's disease: A proof of concept study. PLoS One. 2022; 17(10):e0275490.
Score: 0.055
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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