Literature DB >> 35217204

Mapping the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact.

Qiuyun Fan1, Cornelius Eichner2, Maryam Afzali3, Lars Mueller4, Chantal M W Tax5, Mathias Davids6, Mirsad Mahmutovic7, Boris Keil7, Berkin Bilgic8, Kawin Setsompop9, Hong-Hsi Lee10, Qiyuan Tian10, Chiara Maffei10, Gabriel Ramos-Llordén10, Aapo Nummenmaa10, Thomas Witzel11, Anastasia Yendiki10, Yi-Qiao Song12, Chu-Chung Huang13, Ching-Po Lin14, Nikolaus Weiskopf15, Alfred Anwander2, Derek K Jones16, Bruce R Rosen8, Lawrence L Wald8, Susie Y Huang17.   

Abstract

Tremendous efforts have been made in the last decade to advance cutting-edge MRI technology in pursuit of mapping structural connectivity in the living human brain with unprecedented sensitivity and speed. The first Connectom 3T MRI scanner equipped with a 300 mT/m whole-body gradient system was installed at the Massachusetts General Hospital in 2011 and was specifically constructed as part of the Human Connectome Project. Since that time, numerous technological advances have been made to enable the broader use of the Connectom high gradient system for diffusion tractography and tissue microstructure studies and leverage its unique advantages and sensitivity to resolving macroscopic and microscopic structural information in neural tissue for clinical and neuroscientific studies. The goal of this review article is to summarize the technical developments that have emerged in the last decade to support and promote large-scale and scientific studies of the human brain using the Connectom scanner. We provide a brief historical perspective on the development of Connectom gradient technology and the efforts that led to the installation of three other Connectom 3T MRI scanners worldwide - one in the United Kingdom in Cardiff, Wales, another in continental Europe in Leipzig, Germany, and the latest in Asia in Shanghai, China. We summarize the key developments in gradient hardware and image acquisition technology that have formed the backbone of Connectom-related research efforts, including the rich array of high-sensitivity receiver coils, pulse sequences, image artifact correction strategies and data preprocessing methods needed to optimize the quality of high-gradient strength diffusion MRI data for subsequent analyses. Finally, we review the scientific impact of the Connectom MRI scanner, including advances in diffusion tractography, tissue microstructural imaging, ex vivo validation, and clinical investigations that have been enabled by Connectom technology. We conclude with brief insights into the unique value of strong gradients for diffusion MRI and where the field is headed in the coming years.
Copyright © 2022. Published by Elsevier Inc.

Entities:  

Keywords:  Diffusion MRI; Human Connectome Project (HCP); axon diameter; brain; clinical applications; data sharing; fiber tracking; high b-value; human connectome scanner; peripheral nerve stimulation; preprocessing; radio frequency coil; sequence; tissue microstructure; white matter

Mesh:

Year:  2022        PMID: 35217204      PMCID: PMC9121330          DOI: 10.1016/j.neuroimage.2022.118958

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   7.400


  260 in total

1.  Generalized autocalibrating partially parallel acquisitions (GRAPPA).

Authors:  Mark A Griswold; Peter M Jakob; Robin M Heidemann; Mathias Nittka; Vladimir Jellus; Jianmin Wang; Berthold Kiefer; Axel Haase
Journal:  Magn Reson Med       Date:  2002-06       Impact factor: 4.668

2.  Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution.

Authors:  J-Donald Tournier; Fernando Calamante; David G Gadian; Alan Connelly
Journal:  Neuroimage       Date:  2004-11       Impact factor: 6.556

3.  Simple phase method for measurement of magnetic field gradient waveforms.

Authors:  Peter Latta; Marco L H Gruwel; Vyacheslav Volotovskyy; Michael H Weber; Boguslaw Tomanek
Journal:  Magn Reson Imaging       Date:  2007-04-05       Impact factor: 2.546

4.  A general framework for experiment design in diffusion MRI and its application in measuring direct tissue-microstructure features.

Authors:  Daniel C Alexander
Journal:  Magn Reson Med       Date:  2008-08       Impact factor: 4.668

5.  Diffusional anisotropy of T2 components in bovine optic nerve.

Authors:  G J Stanisz; R M Henkelman
Journal:  Magn Reson Med       Date:  1998-09       Impact factor: 4.668

6.  MAPL: Tissue microstructure estimation using Laplacian-regularized MAP-MRI and its application to HCP data.

Authors:  Rutger H J Fick; Demian Wassermann; Emmanuel Caruyer; Rachid Deriche
Journal:  Neuroimage       Date:  2016-04-01       Impact factor: 6.556

7.  Towards unconstrained compartment modeling in white matter using diffusion-relaxation MRI with tensor-valued diffusion encoding.

Authors:  Björn Lampinen; Filip Szczepankiewicz; Johan Mårtensson; Danielle van Westen; Oskar Hansson; Carl-Fredrik Westin; Markus Nilsson
Journal:  Magn Reson Med       Date:  2020-03-06       Impact factor: 4.668

8.  Functional Segmentation of the Anterior Limb of the Internal Capsule: Linking White Matter Abnormalities to Specific Connections.

Authors:  Ziad Safadi; Giorgia Grisot; Saad Jbabdi; Timothy E Behrens; Sarah R Heilbronner; Nicole C R McLaughlin; Joe Mandeville; Amelia Versace; Mary L Phillips; Julia F Lehman; Anastasia Yendiki; Suzanne N Haber
Journal:  J Neurosci       Date:  2018-01-22       Impact factor: 6.167

9.  Diffusion MRI microstructure models with in vivo human brain Connectome data: results from a multi-group comparison.

Authors:  Uran Ferizi; Benoit Scherrer; Torben Schneider; Mohammad Alipoor; Odin Eufracio; Rutger H J Fick; Rachid Deriche; Markus Nilsson; Ana K Loya-Olivas; Mariano Rivera; Dirk H J Poot; Alonso Ramirez-Manzanares; Jose L Marroquin; Ariel Rokem; Christian Pötter; Robert F Dougherty; Ken Sakaie; Claudia Wheeler-Kingshott; Simon K Warfield; Thomas Witzel; Lawrence L Wald; José G Raya; Daniel C Alexander
Journal:  NMR Biomed       Date:  2017-06-23       Impact factor: 4.044

10.  Including diffusion time dependence in the extra-axonal space improves in vivo estimates of axonal diameter and density in human white matter.

Authors:  Silvia De Santis; Derek K Jones; Alard Roebroeck
Journal:  Neuroimage       Date:  2016-01-27       Impact factor: 6.556

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