Author

David Yarnitsky

Technion – Israel Institute of TechnologyORCID 0000-0002-2293-2090Unclaimed 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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Research Focus:differential expression· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:electronic health records· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Yelena GranovskyiD· 2 shared A. Vania ApkarianiD· 1 shared Cristina Gil ÁvilaiD· 1 shared Divya Bharatkumar AdhiaiD· 1 shared Elisabeth S. MayiD· 1 shared Felix S. BottiD· 1 shared Henrik HeitmanniD· 1 shared Itamar KahniD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersNeuroscience

Yelena GranovskyORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintAug 12, 2024

EEG-based analysis of intrinsic brain network function in chronic pain: Insights from a comprehensive multi-data set study

Felix S. Bott, Paul Theo Zebhauser, Vanessa D. Hohn…·Markus Ploner

This study examines intrinsic brain network function in chronic pain using EEG data from 537 individuals, finding some replicable associations but highlighting the need for collaborative research.

1 citation

humanelectronic health records

NeurosciencebioRxivPreprintNov 12, 2021

Structural brain connectivity predicts acute pain after mild traumatic brain injury

Paulo Branco, Noam Bosak, Jannis Bielefeld…·A. Vania Apkarian

This study uses machine learning to show that white matter connectivity in specific brain networks predicts acute pain after mild traumatic brain injury.

DOI 10.1101/2021.11.12.468345

humanimaging