Literature DB >> 34464739

Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome.

Susie Y Huang1, Thomas Witzel2, Boris Keil3, Alina Scholz3, Mathias Davids4, Peter Dietz5, Elmar Rummert5, Rebecca Ramb5, John E Kirsch4, Anastasia Yendiki4, Qiuyun Fan4, Qiyuan Tian4, Gabriel Ramos-Llordén4, Hong-Hsi Lee4, Aapo Nummenmaa4, Berkin Bilgic4, Kawin Setsompop6, Fuyixue Wang4, Alexandru V Avram7, Michal Komlosh7, Dan Benjamini7, Kulam Najmudeen Magdoom7, Sudhir Pathak8, Walter Schneider8, Dmitry S Novikov9, Els Fieremans9, Slimane Tounekti4, Choukri Mekkaoui4, Jean Augustinack4, Daniel Berger10, Alexander Shapson-Coe10, Jeff Lichtman10, Peter J Basser7, Lawrence L Wald4, Bruce R Rosen4.   

Abstract

The first phase of the Human Connectome Project pioneered advances in MRI technology for mapping the macroscopic structural connections of the living human brain through the engineering of a whole-body human MRI scanner equipped with maximum gradient strength of 300 mT/m, the highest ever achieved for human imaging. While this instrument has made important contributions to the understanding of macroscale connectional topology, it has also demonstrated the potential of dedicated high-gradient performance scanners to provide unparalleled in vivo assessment of neural tissue microstructure. Building on the initial groundwork laid by the original Connectome scanner, we have now embarked on an international, multi-site effort to build the next-generation human 3T Connectome scanner (Connectome 2.0) optimized for the study of neural tissue microstructure and connectional anatomy across multiple length scales. In order to maximize the resolution of this in vivo microscope for studies of the living human brain, we will push the diffusion resolution limit to unprecedented levels by (1) nearly doubling the current maximum gradient strength from 300 mT/m to 500 mT/m and tripling the maximum slew rate from 200 T/m/s to 600 T/m/s through the design of a one-of-a-kind head gradient coil optimized to minimize peripheral nerve stimulation; (2) developing high-sensitivity multi-channel radiofrequency receive coils for in vivo and ex vivo human brain imaging; (3) incorporating dynamic field monitoring to minimize image distortions and artifacts; (4) developing new pulse sequences to integrate the strongest diffusion encoding and highest spatial resolution ever achieved in the living human brain; and (5) calibrating the measurements obtained from this next-generation instrument through systematic validation of diffusion microstructural metrics in high-fidelity phantoms and ex vivo brain tissue at progressively finer scales with accompanying diffusion simulations in histology-based micro-geometries. We envision creating the ultimate diffusion MRI instrument capable of capturing the complex multi-scale organization of the living human brain - from the microscopic scale needed to probe cellular geometry, heterogeneity and plasticity, to the mesoscopic scale for quantifying the distinctions in cortical structure and connectivity that define cyto- and myeloarchitectonic boundaries, to improvements in estimates of macroscopic connectivity.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  Axon diameter; Connectome; Diffusion MRI; Gray matter; Head gradient; Multi-scale modeling; Peripheral nerve stimulation; Tissue microstructure; Validation

Mesh:

Year:  2021        PMID: 34464739      PMCID: PMC8863543          DOI: 10.1016/j.neuroimage.2021.118530

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


  152 in total

1.  The importance of axonal undulation in diffusion MR measurements: a Monte Carlo simulation study.

Authors:  Markus Nilsson; Jimmy Lätt; Freddy Ståhlberg; Danielle van Westen; Håkan Hagslätt
Journal:  NMR Biomed       Date:  2011-10-21       Impact factor: 4.044

2.  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

3.  Optimising time-varying gradient orientation for microstructure sensitivity in diffusion-weighted MR.

Authors:  Ivana Drobnjak; Daniel C Alexander
Journal:  J Magn Reson       Date:  2011-07-29       Impact factor: 2.229

4.  Effects of nongaussian diffusion on "isotropic diffusion" measurements: An ex-vivo microimaging and simulation study.

Authors:  Sune Nørhøj Jespersen; Jonas Lynge Olesen; Andrada Ianuş; Noam Shemesh
Journal:  J Magn Reson       Date:  2019-01-21       Impact factor: 2.229

5.  Detection of microscopic diffusion anisotropy in human cortical gray matter in vivo with double diffusion encoding.

Authors:  Marco Lawrenz; Jürgen Finsterbusch
Journal:  Magn Reson Med       Date:  2018-09-11       Impact factor: 4.668

6.  High-contrast en bloc staining of neuronal tissue for field emission scanning electron microscopy.

Authors:  Juan Carlos Tapia; Narayanan Kasthuri; Kenneth J Hayworth; Richard Schalek; Jeff W Lichtman; Stephen J Smith; JoAnn Buchanan
Journal:  Nat Protoc       Date:  2012-01-12       Impact factor: 13.491

7.  Using double pulsed-field gradient MRI to study tissue microstructure in traumatic brain injury (TBI).

Authors:  Michal E Komlosh; Dan Benjamini; Elizabeth B Hutchinson; Sarah King; Margalit Haber; Alexandru V Avram; Lynne A Holtzclaw; Abhishek Desai; Carlo Pierpaoli; Peter J Basser
Journal:  Microporous Mesoporous Mater       Date:  2017-03-25       Impact factor: 5.455

8.  Serial-section electron microscopy using automated tape-collecting ultramicrotome (ATUM).

Authors:  Valentina Baena; Richard Lee Schalek; Jeff William Lichtman; Mark Terasaki
Journal:  Methods Cell Biol       Date:  2019-06-08       Impact factor: 1.441

9.  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

10.  Ex vivo diffusion MRI of the human brain: Technical challenges and recent advances.

Authors:  Alard Roebroeck; Karla L Miller; Manisha Aggarwal
Journal:  NMR Biomed       Date:  2018-06-04       Impact factor: 4.044

View more
  3 in total

1.  High-resolution mapping and digital atlas of subcortical regions in the macaque monkey based on matched MAP-MRI and histology.

Authors:  Kadharbatcha S Saleem; Alexandru V Avram; Daniel Glen; Cecil Chern-Chyi Yen; Frank Q Ye; Michal Komlosh; Peter J Basser
Journal:  Neuroimage       Date:  2021-11-25       Impact factor: 6.556

Review 2.  Mapping the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact.

Authors:  Qiuyun Fan; Cornelius Eichner; Maryam Afzali; Lars Mueller; Chantal M W Tax; Mathias Davids; Mirsad Mahmutovic; Boris Keil; Berkin Bilgic; Kawin Setsompop; Hong-Hsi Lee; Qiyuan Tian; Chiara Maffei; Gabriel Ramos-Llordén; Aapo Nummenmaa; Thomas Witzel; Anastasia Yendiki; Yi-Qiao Song; Chu-Chung Huang; Ching-Po Lin; Nikolaus Weiskopf; Alfred Anwander; Derek K Jones; Bruce R Rosen; Lawrence L Wald; Susie Y Huang
Journal:  Neuroimage       Date:  2022-02-23       Impact factor: 7.400

3.  Comprehensive diffusion MRI dataset for in vivo human brain microstructure mapping using 300 mT/m gradients.

Authors:  Qiyuan Tian; Qiuyun Fan; Thomas Witzel; Maya N Polackal; Ned A Ohringer; Chanon Ngamsombat; Andrew W Russo; Natalya Machado; Kristina Brewer; Fuyixue Wang; Kawin Setsompop; Jonathan R Polimeni; Boris Keil; Lawrence L Wald; Bruce R Rosen; Eric C Klawiter; Aapo Nummenmaa; Susie Y Huang
Journal:  Sci Data       Date:  2022-01-18       Impact factor: 6.444

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.