Author

Gillian J. Lamb

MRC Centre for Reproductive Health

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:imaging· 2 Research Focus:differential expression· 1

Frequent Co-Authors

Alan J. QuigleyiD· 3 shared David Q. StoyeiD· 3 shared Gemma SullivaniD· 3 shared James P. BoardmaniD· 3 shared Manuel BlesaiD· 3 shared Mark E. BastiniD· 3 shared Michael J. ThrippletoniD· 3 shared Paola GaldiiD· 3 shared

Activity by Year

2020-2020 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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3 shared papersNeuroscience

Alan J. QuigleyORCID

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3 papers

Recent·Most cited

Maternal cortisol is associated with neonatal amygdala microstructure and connectivity in a sexually dimorphic manner

David Q. Stoye, Manuel Blesa, Gemma Sullivan, Paola Galdi, Gillian J. Lamb, Gill S Black, Alan J. Quigley, Michael J. Thrippleton, Mark E. Bastin, Rebecca M. Reynolds, James P. Boardman

This study finds that maternal cortisol levels are linked to differences in neonatal amygdala microstructure and connectivity, with sex-specific effects observed in girls and boys.

eLife · Nov 23, 2020Peer-reviewedNeuroscience

Hierarchical complexity of the macro-scale neonatal brain

Manuel Blesa, Paola Galdi, Simon R Cox, Gemma Sullivan, David Q. Stoye, Gillian J. Lamb, Alan J. Quigley, Michael J. Thrippleton, Javier Escudero, Mark E. Bastin, Keith Smith, James P. Boardman

This study examines hierarchical complexity in neonatal and adult brain networks, finding greater complexity in term-born neonates compared to preterms, linked to connectivity patterns in intermediate tiers.

Cerebral Cortex · Oct 26, 2020Peer-reviewedNeuroscience

Neonatal morphometric similarity mapping for predicting brain age and characterizing neuroanatomic variation associated with preterm birth

Paola Galdi, Manuel Blesa, David Q. Stoye, Gemma Sullivan, Gillian J. Lamb, Alan J. Quigley, Michael J. Thrippleton, Mark E. Bastin, James P. Boardman

The paper uses morphometric similarity networks derived from MRI data to predict brain age and identify neuroanatomic variations in preterm and term neonates.

NeuroImage Clinical · Jan 1, 2020Peer-reviewedNeuroscience