Integration of ultra-high field MRI and histology for connectome based research of brain disorders

Yang, Shan, Yang, Zhengyi, Fischer, Karin, Zhong, Kai, Stadler, Joerg, Godenschweger, Frank, Steiner, Johann, Heinze, Hans-Jochen, Bernstein, Hans-Gert, Bogerts, Bernhard, Mawrin, Christian, Reutens, David C., Speck, Oliver and Walter, Martin (2013) Integration of ultra-high field MRI and histology for connectome based research of brain disorders. Frontiers in Neuroanatomy, 7 SEP: 31.1-31.10. doi:10.3389/fnana.2013.00031

Author Yang, Shan
Yang, Zhengyi
Fischer, Karin
Zhong, Kai
Stadler, Joerg
Godenschweger, Frank
Steiner, Johann
Heinze, Hans-Jochen
Bernstein, Hans-Gert
Bogerts, Bernhard
Mawrin, Christian
Reutens, David C.
Speck, Oliver
Walter, Martin
Title Integration of ultra-high field MRI and histology for connectome based research of brain disorders
Journal name Frontiers in Neuroanatomy   Check publisher's open access policy
ISSN 1662-5129
Publication date 2013-09-27
Sub-type Article (original research)
DOI 10.3389/fnana.2013.00031
Open Access Status DOI
Volume 7
Issue SEP
Start page 31.1
End page 31.10
Total pages 10
Editor Jose L. Lanciego
Place of publication Lausanne, Switzerland
Publisher Frontiers Research Foundation
Collection year 2014
Language eng
Formatted abstract
Ultra-high field magnetic resonance imaging (MRI) became increasingly relevant for in vivo neuroscientific research because of improved spatial resolutions. However, this is still the unchallenged domain of histological studies, which long played an important role in the investigation of neuropsychiatric disorders. While the field of biological psychiatry strongly advanced on macroscopic levels, current developments are rediscovering the richness of immunohistological information when attempting a multi-level systematic approach to brain function and dysfunction. For most studies, histology sections lost information on three-dimensional reconstructions. Translating histological sections to 3D-volumes would thus not only allow for multi-stain and multi-subject alignment in post mortem data, but also provide a crucial step in big data initiatives involving the network analyses currently performed with in vivo MRI. We therefore investigated potential pitfalls during integration of MR and histological information where no additional blockface information is available. We demonstrated that strengths and requirements from both methods can be effectively combined at a spatial resolution of 200 μm. However, the success of this approach is heavily dependent on choices of hardware, sequence and reconstruction. We provide a fully automated pipeline that optimizes histological 3D reconstructions, providing a potentially powerful solution not only for primary human post mortem research institutions in neuropsychiatric research, but also to help alleviate the massive workloads in neuroanatomical atlas initiatives. We further demonstrate (for the first time) the feasibility and quality of ultra-high spatial resolution (150 μm isotopic) imaging of the entire human brain MRI at 7T, offering new opportunities for analyses on MR-derived information.
Keyword 7 tesla
Post mortem
Biological psychiatry
High resolution imaging
Translational neuroscience
3D reconstruction
Brain data base
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

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Created: Thu, 31 Oct 2013, 12:21:42 EST by Dr Steven Yang on behalf of School of Information Technol and Elec Engineering