Mapping the Human Connectome using Diffusion MRI at 300 mT/m Gradient Strength: Methodological Advances and Scientific Impact

Fan, Q, Eichner, C, Afzali Deligani, M et al. (23 more authors) (2022) Mapping the Human Connectome using Diffusion MRI at 300 mT/m Gradient Strength: Methodological Advances and Scientific Impact. NeuroImage, 254. 118958. ISSN 1053-8119

Abstract

Metadata

Item Type: Article
Authors/Creators:

This paper has 26 authors. You can scroll the list below to see them all or them all.

  • Fan, Q
  • Eichner, C
  • Afzali Deligani, M
  • Mueller, L
  • Tax, CMW
  • Davids, M
  • Mahmutovic, M
  • Keil, B
  • Bilgic, B
  • Setsompop, K
  • Lee, H-H
  • Tian, Q
  • Maffei, C
  • Ramos-Llordén, G
  • Nummenmaa, A
  • Witzel, T
  • Yendiki, A
  • Song, Y-Q
  • Huang, C-C
  • Lin, C-P
  • Weiskopf, N
  • Anwander, A
  • Jones, DK
  • Rosen, BR
  • Wald, LL
  • Huang, SY
Copyright, Publisher and Additional Information:

© 2022 The Authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY-NC-ND 4.0).

Keywords: Diffusion MRI, Human Connectome Project (HCP), axon diameter, brain, white matter, high b-value, human connectome scanner, peripheral nerve stimulation, radio frequency coil, sequence, preprocessing, fiber tracking, data sharing, tissue microstructure, clinical applications
Dates:
  • Published: 1 July 2022
  • Published (online): 23 February 2022
  • Accepted: 16 February 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Biomedical Imaging Science Dept (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 23 Feb 2022 13:19
Last Modified: 18 Feb 2025 15:33
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.neuroimage.2022.118958
Open Archives Initiative ID (OAI ID):

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