Author

Mark F. Lythgoe

RIKEN Center for Brain SciencePrimary ORCID profile (0000-0002-4945-0171 · 7 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Mark F. LythgoeiD7 papers · University College London

Biology Disciplines

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Biophysics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:mouse· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:cancer & tumor microenvironment· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Angela d’Esposito· 2 shared Ben Hipwell· 2 shared Giulia Agliardi· 2 shared Simon Walker-SamueliD· 2 shared Tom A. Roberts· 2 shared Valerie Taylor· 2 shared Andrada Ianus· 1 shared Bernard Siow· 1 shared

Activity by Year

2017-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersBiophysics

Angela d’Esposito

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3 papers

Recent·Most cited

Human mutations in SLITRK3 implicated in GABAergic synapse development in mice

Stéphanie Efthymiou, Wenyan Han, Muhammad Ilyas, Jun Li, Yichao Yu, Marcello Scala, Nancy T. Malintan, Nikoleta Vavouraki, Kshitij Mankad, Reza Maroofian, Clarissa Rocca, Vincenzo Salpietro, Shenela Lakhani, Eric James Mallack, Timothy Blake Palculict, , Henry Houlden

This study identifies SLITRK3 mutations in humans linked to epileptic encephalopathy and shows their loss-of-function effect in neurons and mice, highlighting a role in synapse development and neurological function.

Frontiers in Molecular Neuroscience · Mar 1, 2024Peer-reviewedGenetics

Deep learning diffusion fingerprinting to detect brain tumour response to chemotherapy

Tom A. Roberts, Ben Hipwell, Giulia Agliardi, Angela d’Esposito, Valerie Taylor, Mark F. Lythgoe, Simon Walker-Samuel

This paper introduces DLDF, a deep learning method that detects brain tumor response to chemotherapy using diffusion-weighted MRI in a mouse model, showing it can segment tumors, distinguish tumor age, and detect chemotherapy effects with limited data.

bioRxiv · Sep 25, 2017 · PreprintBiophysics

Quantitation of brain tumour microstructure response to Temozolomide therapy using non-invasive VERDICT MRI

Tom A. Roberts, Harpreet Hyare, Giulia Agliardi, Ben Hipwell, Angela d’Esposito, Andrada Ianus, James O. Breen-Norris, Rajiv Ramasawmy, Valerie Taylor, David Atkinson, Shonit Punwani, Mark F. Lythgoe, Bernard Siow, Sebastian Brandner, Jeremy Rees, , Simon Walker-Samuel

This study evaluates VERDICT MRI for detecting early response to Temozolomide therapy in brain tumours, showing it is more sensitive than structural or ADC measurements.

bioRxiv · Aug 30, 2017 · PreprintBiophysics