4.7 Article

Cortical fibers orientation mapping using in-vivo whole brain 7 T diffusion MRI

期刊

NEUROIMAGE
卷 178, 期 -, 页码 104-118

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2018.05.010

关键词

Diffusion MRI; 7T; High resolution; Cortex; Depth dependent analysis; Gyral bias

资金

  1. NIH [P41 EB015894, P30 NS076408, U01 EB025144]
  2. NWO VIDI [864-13-012]
  3. Human Connectome Project, WU-Minn Consortium [1U54MH091657]
  4. McDonnell Center for Systems Neuroscience at Washington University
  5. NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [U01EB025144, P41EB015894] Funding Source: NIH RePORTER
  6. NATIONAL INSTITUTE OF MENTAL HEALTH [U54MH091657] Funding Source: NIH RePORTER
  7. NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [P30NS076408] Funding Source: NIH RePORTER

向作者/读者索取更多资源

Diffusion MRI of the cortical gray matter is challenging because the micro-environment probed by water molecules is much more complex than within the white matter. High spatial and angular resolutions are therefore necessary to uncover anisotropic diffusion patterns and laminar structures, which provide complementary (e.g. to anatomical and functional MRI) microstructural information about the cortex architectonic. Several ex-vivo and in-vivo MRI studies have recently addressed this question, however predominantly with an emphasis on specific cortical areas. There is currently no whole brain in-vivo data leveraging multi-shell diffusion MRI acquisition at high spatial resolution, and depth dependent analysis, to characterize the complex organization of cortical fibers. Here, we present unique in-vivo human 7T diffusion MRI data, and a dedicated cortical depth dependent analysis pipeline. We leverage the high spatial (1.05mm isotropic) and angular (198 diffusion gradient directions) resolution of this whole brain dataset to improve cortical fiber orientations mapping, and study neurites (axons and/or dendrites) trajectories across cortical depths. Tangential fibers in superficial cortical depths and crossing fiber configurations in deep cortical depths are identified. Fibers gradually inserting into the gyral walls are visualized, which contributes to mitigating the gyral bias effect. Quantitative radiality maps and histograms in individual subjects and cortex-based aligned datasets further support our results.

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