M
Matteo Bastiani
Researcher at University of Nottingham
Publications - 54
Citations - 2686
Matteo Bastiani is an academic researcher from University of Nottingham. The author has contributed to research in topics: Diffusion MRI & Human Connectome Project. The author has an hindex of 21, co-authored 50 publications receiving 1585 citations. Previous affiliations of Matteo Bastiani include University of Oxford & Forschungszentrum Jülich.
Papers
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Journal ArticleDOI
The Developing Human Connectome Project: a Minimal Processing Pipeline for Neonatal Cortical Surface Reconstruction
Antonios Makropoulos,Emma C. Robinson,Emma C. Robinson,Andreas Schuh,Robert Wright,Sean P. Fitzgibbon,Jelena Bozek,Serena J. Counsell,Johannes K. Steinweg,Katy Vecchiato,Jonathan Passerat-Palmbach,Gregor Lenz,Filippo Mortari,Tencho Tenev,Eugene P. Duff,Matteo Bastiani,Lucilio Cordero-Grande,Emer Hughes,Nora Tusor,Jacques-Donald Tournier,Jana Hutter,Anthony N. Price,Rui Pedro A. G. Teixeira,Maria Murgasova,Suresh Victor,Christopher Kelly,Mary A. Rutherford,Stephen M. Smith,A. David Edwards,Joseph V. Hajnal,Mark Jenkinson,Daniel Rueckert +31 more
TL;DR: A fully automated processing pipeline for the structural Magnetic Resonance Imaging (MRI) of the developing neonatal brain is proposed, which has been specifically designed to address considerable differences between adult and neonatal brains, as imaged using MRI.
Journal ArticleDOI
Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement
Jesper L. R. Andersson,Mark S. Graham,Ivana Drobnjak,Hui Zhang,Nicola Filippini,Matteo Bastiani +5 more
TL;DR: A method to correct for intra‐volume movement into an existing framework for movement and distortion correction is introduced and it is demonstrated that the true movement can be estimated with high accuracy, and scalar parameters derived from the data are estimated with greater fidelity.
Journal ArticleDOI
Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects
Michael P. Harms,Leah H. Somerville,Beau M. Ances,Jesper L. R. Andersson,M Deanna,Matteo Bastiani,Susan Y. Bookheimer,Timothy B. Brown,Randy L. Buckner,Gregory C. Burgess,Timothy S. Coalson,Michael A. Chappell,Mirella Dapretto,Gwenaëlle Douaud,Bruce Fischl,Matthew F. Glasser,Douglas N. Greve,Cynthia Hodge,Keith Jamison,Saad Jbabdi,Sridhar Kandala,Xiufeng Li,Ross W. Mair,Silvia Mangia,Daniel S. Marcus,Daniele Mascali,Steen Moeller,Thomas E. Nichols,Emma C. Robinson,David H. Salat,Stephen M. Smith,Stamatios N. Sotiropoulos,Melissa Terpstra,Kathleen M. Thomas,M. Dylan Tisdall,Kamil Ugurbil,Andre van der Kouwe,Roger P. Woods,Lilla Zöllei,David C. Van Essen,Essa Yacoub +40 more
TL;DR: An overview of the common HCP‐D/A imaging protocol including data and rationales for protocol decisions and changes relative to the recently completed HCP Young‐Adult project is provided.
Journal ArticleDOI
Human cortical connectome reconstruction from diffusion weighted MRI: The effect of tractography algorithm
TL;DR: The effects of intra-voxel fiber direction modeling and tractography algorithm on derived structural network indices (e.g. density, small-worldness and global efficiency) are investigated and interactions in the combined effects of these methods and implications for future studies are discussed.
Journal ArticleDOI
Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction.
Matteo Bastiani,Michiel Cottaar,Sean P. Fitzgibbon,Sana Suri,Fidel Alfaro-Almagro,Stamatios N. Sotiropoulos,Saad Jbabdi,Andersson Jlr. +7 more
TL;DR: An automated diffusion MRI QC framework for single subject and group studies is introduced, based on a comprehensive, non‐parametric approach for movement and distortion correction: FSL EDDY, which allows for a rich set of QC metrics that are both sensitive and specific to different types of artefacts.