Author

Donna Herr

University of Cape TownORCID 0000-0002-7721-9129Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Assay:imaging· 1 Assay:metagenomics· 1

Frequent Co-Authors

Kirsten Ann DonaldiD· 3 shared Marlie MilesiD· 3 shared Michal R. ZieffiD· 3 shared Bokang Methola· 2 shared Candice Knipe· 2 shared Chloë A. JacobsiD· 2 shared Khanyisa Nkubungu· 2 shared Khula South Africa Data Collection Team· 2 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersNeuroscience

Kirsten Ann DonaldORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Deep learning super-resolution of paediatric ultra-low-field MRI without paired high-field scans

Ula Briski, Niall Bourke, Hajer Karoui, Kirsten Ann Donald, Layla E. Bradford, Simone R. Williams, Michal R. Zieff, Sadia Parkar, Sidra Kaleem, Salman Osmani, Sean Deoni, Steven Williams, Khula South Africa Data Collection Team, Donna Herr, Marlie Miles, , František Váša

This study develops a deep learning model to enhance ultra-low-field MRI scans to near high-field resolution without paired high-field data, improving image quality and accessibility.

Scientific Reports · Aug 26, 2026Peer-reviewedNeuroscience

Microbiome-behavior coupling shapes infant adaptation to early maternal unpredictability

Dima Amso, Guilherme Fahur Bottino, Tess Allegra Forest, Kevin Scott Bonham, Michal R. Zieff, Fadheela Patel, Marlie Miles, Donna Herr, Khula South Africa Data Collection Team, Claudia Espinoza‐Heredia, Celia L. D’Amato, Jinge Ren, Melissa Gladstone, Emmie W. Mbale, Daniel C. Alexander, , Vanja Klepac‐Ceraj

The paper links infant gut microbiome composition and behavioral responses to maternal unpredictability, showing how microbial metabolism influences behavioral outcomes.

Frontiers in Microbiology · Jun 2, 2026Peer-reviewedNeuroscience

Evaluating a Novel High-Density EEG Sensor Net Structure for Improving Inclusivity in Infants with Curly or Tightly Coiled Hair

Nwabisa Mlandu, Sarah A. McCormick, Lauren Davel, Michal R. Zieff, Layla E. Bradford, Donna Herr, Chloë A. Jacobs, Anele Khumalo, Candice Knipe, Zamazimba Madi, Thandeka Mazubane, Bokang Methola, Tembeka Mhlakwaphalwa, Marlie Miles, Zayaan Goolam Nabi, , Laurel Joy Gabard-Durnam

The paper tests two high-density EEG sensor net designs in infants with curly or tightly-coiled hair, finding that the tall design improves data quality and retention.

Developmental Cognitive Neuroscience · May 27, 2024Peer-reviewedNeuroscience