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

NeurosciencePainPeer-reviewedApr 8, 2021

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…·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.

50 citations

humanelectronic health records

𝕏 PostBluesky

NeurosciencePainPeer-reviewedJul 22, 2019

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

Son Ta Dinh, Moritz M. Nickel, Laura Tiemann…·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.

137 citationstop 2%

humanelectronic health records

𝕏 PostBluesky