Author

Jonathan Passerat‐Palmbach

Imperial College LondonORCID 0000-0003-3178-9502Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 5 Approach:statistical model· 5 Assay:imaging· 3 Assay:bulk RNA-seq· 2 Research Focus:dimensionality reduction· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Andreas SchuhiD· 5 shared Anthony David EdwardsiD· 5 shared Anthony N. PriceiD· 5 shared Antonios Makropoulos· 5 shared Daniel RueckertiD· 5 shared Emer HughesiD· 5 shared Emma C. RobinsoniD· 5 shared Joseph V. HajnaliD· 5 shared

Activity by Year

2018-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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5 shared papersNeuroscience

Andreas SchuhORCID

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Author profile →

5 papers

Recent·Most cited

Neonatal multi-modal cortical profiles predict 18-month developmental outcomes

Daphna Fenchel, Ralica Dimitrova, Emma C. Robinson, Dafnis Batallé, Andrew T. M. Chew, Shona Falconer, Vanessa Kyriakopoulou, Chiara Nosarti, Jana Maria Hutter, Daan Christiaens, Maximilian Pietsch, Jakki Brandon, Emer Hughes, Joanna M. Allsop, Camilla O’Keeffe, , Jonathan O’Muircheartaigh

The paper uses neonatal cortical connectivity data to predict 18-month developmental outcomes, finding that structural covariance networks predict social-emotional performance.

Developmental Cognitive Neuroscience · Mar 24, 2022Peer-reviewedNeuroscience

Cortical morphology at birth reflects spatio-temporal patterns of gene expression in the fetal human brain

Gareth Ball, Jakob Seidlitz, Jonathan O’Muircheartaigh, Ralica Dimitrova, Daphna Fenchel, Antonios Makropoulos, Daan Christiaens, Andreas Schuh, Jonathan Passerat‐Palmbach, Jana Maria Hutter, Lucilio Cordero‐Grande, Emer Hughes, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert, , Anthony David Edwards

The paper links cortical morphology at birth to gene expression patterns in the fetal brain and shows preterm birth disrupts this relationship.

PLoS Biology · Nov 23, 2020Peer-reviewedNeuroscience

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.

Sean P. Fitzgibbon, Samuel J. Harrison, Mark Jenkinson, Luke Baxter, Emma C. Robinson, Matteo Bastiani, Jelena Božek, Vyacheslav R. Karolis, Lucilio Cordero‐Grande, Anthony N. Price, Emer Hughes, Antonios Makropoulos, Jonathan Passerat‐Palmbach, Andreas Schuh, Jianliang Gao, , Jesper Andersson

This paper introduces an automated pipeline for processing neonatal resting-state fMRI data, improving motion correction and quality assurance in the developing Human Connectome Project.

NeuroImage · Aug 29, 2020Peer-reviewedNeuroscience

Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain

Daphna Fenchel, Ralica Dimitrova, Jakob Seidlitz, Emma C. Robinson, Dafnis Batallé, Jana Maria Hutter, Daan Christiaens, Maximilian Pietsch, Jakki Brandon, Emer Hughes, Joanna M. Allsop, Camilla O’Keeffe, Anthony N. Price, Lucilio Cordero‐Grande, Andreas Schuh, , Jonathan O’Muircheartaigh

The paper develops cortical profiles in neonatal brains using MRI to track morphometric and microstructural changes, revealing how network similarity evolves over time.

Cerebral Cortex · May 21, 2020Peer-reviewedNeuroscience

The Developing Human Connectome Project: a Minimal Processing Pipeline for Neonatal Cortical Surface Reconstruction

Antonios Makropoulos, Emma C. Robinson, Andreas Schuh, Robert Wright, Sean P. Fitzgibbon, Jelena Božek, Serena Jane Counsell, Johannes K. Steinweg, Katy Vecchiato, Jonathan Passerat‐Palmbach, Gregor Lenz, Filippo Mortari, Tencho Tenev, Eugene Paul Duff, Matteo Bastiani, , Daniel Rueckert

The paper introduces a fully automated pipeline for neonatal cortical surface reconstruction from MRI, achieving high accuracy in 85% of cases.

NeuroImage · Feb 1, 2018Peer-reviewedNeuroscience