Author

Charles B. Berde

Boston Children's HospitalORCID 0000-0002-1801-6399Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 3 Organism:human· 3 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Laura CornelisseniD· 3 shared 1kD EEG Working Group· 1 shared 1kD Machine Learning Working Group· 1 shared Ana C. Sobrino· 1 shared Charles A. NelsoniD· 1 shared Chris CampiD· 1 shared Daniel FatoriiD· 1 shared Dustin ScheinostiD· 1 shared

Activity by Year

2018-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersNeuroscience

Laura CornelissenORCID

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Author profile →

3 papers

Recent·Most cited

Growth charts of infant visual neurodevelopment generalize across global contexts

Emma T. Margolis, Chris Camp, Ana C. Sobrino, Guilherme V. Polanczyk, Daniel Fatori, Khula South Africa Team, Germina Team, LABS Team, GABA Team, 1kD EEG Working Group, 1kD Machine Learning Working Group, Laura Cornelissen, Charles B. Berde, Takao K. Hensch, Charles A. Nelson, , Laurel Joy Gabard-Durnam

The paper creates longitudinal normative growth curves of visual cortex function using VEP data from infants in three countries, showing generalizability across contexts and associations with early environmental factors.

bioRxiv · Mar 25, 2025 · PreprintNeuroscience

Identifying neurophysiological features associated with anesthetic state in newborn mice and humans

Mattia Chini, Sabine Gretenkord, Johanna K. Kostka, Jastyn A. Pöpplau, Laura Cornelissen, Charles B. Berde, Ileana L. Hanganu‐Opatz, Sebastian H. Bitzenhofer

The paper uses machine learning to identify electrophysiological features predicting anesthetic depth in newborn mice and human neonates using EEG and intracranial recordings.

bioRxiv · Oct 24, 2018 · PreprintNeuroscience

Electroencephalographic markers of brain development during sevoflurane anesthesia in children aged 0 to 3 years old

Laura Cornelissen, Seong‐Eun Kim, J.M. Lee, Emery N. Brown, Patrick L. Purdon, Charles B. Berde

This study identifies age-related changes in electroencephalographic oscillations during sevoflurane anesthesia in children, revealing developmental milestones in GABAergic circuit activity.

British Journal of Anaesthesia · Apr 5, 2018Peer-reviewedNeuroscience