Author

Richard Stones

King's College LondonORCID 0000-0002-6576-6328Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 5 Organism:human· 3 Approach:statistical model· 3 Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Flavio Dell’AcquaiD· 5 shared Marco CataniiD· 3 shared Steven WilliamsiD· 3 shared Ahmad BeyhiD· 2 shared André F. MarquandiD· 2 shared Bethany F. M. OakleyiD· 2 shared Christian F. BeckmanniD· 2 shared Declan MurphyiD· 2 shared

Activity by Year

2022-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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5 shared papersNeuroscience

Flavio Dell’AcquaORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Linking White-Matter Development to Clinical Variation in Autism: Longitudinal Normative Modelling of FA in the EU-AIMS LEAP Cohort

Ramona Cîrstian, Natalie J. Forde, Barbora Rehák Bučková, Flavio Dell’Acqua, Tony Charman, Eva Loth, Bethany F. M. Oakley, Laura Colomar, Isabel Yorke, Richard Stones, Declan Murphy, Tobias Banaschewski, Jan K. Buitelaar, EU-AIMS LEAP Group, André F. Marquand, Christian F. Beckmann

This study uses longitudinal normative modelling of white matter fractional anisotropy in the EU-AIMS LEAP cohort to show individual deviations in white matter development are linked to clinical variation in autism, with significant cross-sectional and longitudinal brain-behaviour associations.

bioRxiv · Nov 25, 2025 · PreprintNeuroscience

MegaTrack: a framework for the anatomically accurate and time-efficient virtual dissection and analysis of large-scale tractography datasets

Flavio Dell’Acqua, Ahmad Beyh, Richard Stones, Rachel L. C. Barrett, Francisco De Santiago Requejo, Pedro A. Luque Laguna, Luís Miguel Lacerda, Catherine Davison, Anoushka Leslie, Henrietta Howells, Laura H. Goldstein, Steven Williams, Marco Catani

MegaTrack provides a framework for efficient and anatomically accurate analysis of large-scale tractography datasets, enabling rapid dissection and metric extraction with high reproducibility and reduced processing time.

bioRxiv · May 27, 2025 · PreprintNeuroscience

Tissue Optimisation Strategies for High Quality Ex Vivo Diffusion Imaging

Rachel L. C. Barrett, Diana Cash, Camilla Simmons, Eugene Kim, Tobias Wood, Richard Stones, Anthony Christopher Vernon, Marco Catani, Flavio Dell’Acqua

This paper develops an optimization strategy for ex vivo diffusion imaging in rodent brains to improve signal-to-noise ratio and reduce acquisition time.

NMR in Biomedicine · Nov 2, 2022Peer-reviewedNeuroscience

Autism is associated with inter-individual variations of gray and white matter morphology

Ting Mei, Natalie J. Forde, Dorothea L. Floris, Flavio Dell’Acqua, Richard Stones, Iva Ilioska, Sarah Durston, Carolin Moessnang, Tobias Banaschewski, Rosemary Holt, Simon Baron‐Cohen, Annika Rausch, Eva Loth, Bethany F. M. Oakley, Tony Charman, , Alberto Llera

The paper identifies a multimodal brain pattern associated with autism by integrating gray and white matter morphology data and linking it to clinical symptoms.

Biological Psychiatry Cognitive Neuroscience and Neuroimaging · Sep 5, 2022Peer-reviewedNeuroscience

Hypervoxels: A Multidimensional Framework For The Representation And Analysis Of Neuroimaging Data

Pedro A. Luque Laguna, Ahmad Beyh, Francisco De Santiago Requejo, Richard Stones, Derek Kenton Jones, Laura H. Goldstein, Marco Catani, Steven Williams, Flavio Dell’Acqua

This paper introduces hypervoxels to improve neuroimaging analysis by integrating spatial and anatomical information from diffusion MRI data, enhancing detection of white matter effects in ALS.

bioRxiv · Apr 11, 2022 · PreprintNeuroscience