Author

Lorenzo Magazzini

Cardiff UniversityORCID 0000-0002-8934-8374Unclaimed 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· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Assay:multiome· 1

Frequent Co-Authors

Bethany C. RoutleyiD· 2 shared Krish D. SinghiD· 2 shared Sonya F. FoleyiD· 2 shared Alister BairdiD· 1 shared David E.J. LindeniD· 1 shared Derek Kenton JonesiD· 1 shared Diana C. DimaiD· 1 shared Eirini MessaritakiiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersNeuroscience

Bethany C. RoutleyORCID

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2 papers

Recent·Most cited

Predicting MEG resting-state functional connectivity using microstructural information

Eirini Messaritaki, Sonya F. Foley, Simona Schiavi, Lorenzo Magazzini, Bethany C. Routley, Derek Kenton Jones, Krish D. Singh

The paper predicts resting-state functional connectivity using microstructural metrics and finds that streamline count and myelin measures yield the most accurate predictions.

Network Neuroscience · Jan 1, 2021Peer-reviewedNeuroscience

Electrophysiological network alterations in adults with copy number variants associated with high neurodevelopmental risk

Diana C. Dima, Rachael Adams, Stefanie Caroline Linden, Alister Baird, Jacqueline Smith, Sonya F. Foley, Gavin Perry, Bethany C. Routley, Lorenzo Magazzini, Mark Drakesmith, Nigel M. Williams, Joanne L. Doherty, Marianne B. M. van den Bree, Michael John Owen, Jérémy Hall, , Krish D. Singh

This study investigates electrophysiological network changes in adults with neurodevelopmental risk copy number variants using MEG, finding decreased connectivity and network segregation differences.

Translational Psychiatry · Sep 21, 2020Peer-reviewedNeuroscience