Author

Son Ta Dinh

Technical University of MunichORCID 0000-0002-7214-9555Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Elisabeth S. MayiD· 2 shared Henrik HeitmanniD· 2 shared Laura TiemanniD· 2 shared Markus PloneriD· 2 shared Moritz M. NickeliD· 2 shared Thomas Rudolf TölleiD· 2 shared Vanessa D. HohniD· 2 shared Cristina Gil ÁvilaiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersNeuroscience

Elisabeth S. MayORCID

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2 papers

Recent·Most cited

Dynamics of brain function in chronic pain patients assessed by microstate analysis of resting-state electroencephalography

Elisabeth S. May, Cristina Gil Ávila, Son Ta Dinh, Henrik Heitmann, Vanessa D. Hohn, Moritz M. Nickel, Laura Tiemann, Thomas Rudolf Tölle, Markus Ploner

This study uses microstate analysis of resting-state EEG to find that chronic pain patients show reduced prominence of microstate D, associated with attentional networks.

Pain · Apr 8, 2021Peer-reviewedNeuroscience

Brain dysfunction in chronic pain patients assessed by resting-state electroencephalography

Son Ta Dinh, Moritz M. Nickel, Laura Tiemann, Elisabeth S. May, Henrik Heitmann, Vanessa D. Hohn, Günther M. Edenharter, Daniel Utpadel-Fischler, Thomas Rudolf Tölle, Paul Sauseng, Joachim Groß, Markus Ploner

This study uses resting-state EEG to identify abnormal frontal theta and gamma synchrony in chronic pain patients, suggesting potential targets for non-invasive brain stimulation.

Pain · Jul 22, 2019Peer-reviewedNeuroscience