Author

Negin Gholamipourbarough

Technische Universität Dresden

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Approach:graph neural network· 1 Organism:human· 1

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Christian BesteiD· 1 shared Rishabh TiwariiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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1 shared paperNeuroscience

Christian BesteORCID

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintOct 8, 2026

Distilling Trial-Level EEG Variability into Participant Representations: Neurophysiologically Constrained Graph Learning in ADHD

Rishabh Tiwari, Christian Beste, Negin Gholamipourbarough

The paper develops a neurophysiologically constrained graph learning method to extract stable participant representations from EEG data in ADHD and finds group-related structure in embeddings that capture trial-level variability.

DOI 10.64898/2026.10.01.755897

humanelectronic health records

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