Novel Approach to the Human Connectome

  • Signal transmission between different brain regions requires connecting fiber tracts, the structural basis of the human connectome. In contrast to animal brains, where a multitude of tract tracing methods can be used, magnetic resonance (MR)-based diffusion imaging is presently the only promising approach to study fiber tracts between specific human brain regions. However, this procedure has various inherent restrictions caused by its relatively low spatial resolution. Here, we introduce 3D-polarized light imaging (3D-PLI) to map the three-dimensional course of fiber tracts in the human brain with a resolution at a submillimeter scale based on a voxel size of 100 μm isotropic or less. 3D-PLI demonstrates nerve fibers by utilizing their intrinsic birefringence of myelin sheaths surrounding axons. This optical method enables the demonstration of 3D fiber orientations in serial microtome sections of entire human brains. Examples for the feasibility of this novel approach are given here. 3D-PLI enables the study of brain regions of intense fiber crossing in unprecedented detail, and provides an independent evaluation of fiber tracts derived from diffusion imaging data.

Export metadata

Additional Services

Share in Twitter Search Google Scholar Statistics
Author:Markus Axer, Katrin Amunts, David Gräßel, Christoph PalmORCiDGND, Jürgen Dammers, Hubertus Axer, Uwe Pietrzyk, Karl Zilles
Parent Title (English):NeuroImage
Subtitle (English):Ultra-High Resolution Mapping of Fiber Tracts in the Brain
Document Type:Article
Year of first Publication:2011
Release Date:2020/01/08
Tag:Connectome; Human brain; Method; Polarized light imaging; Systems biology; Tractography
GND Keyword:Bildgebendes Verfahren; Dreidimensionale Bildverarbeitung; Polarisiertes Licht; Gehirnkarte
First Page:1091
Last Page:1101
Institutes:Fakultät Informatik und Mathematik
Fakultät Informatik und Mathematik / Regensburg Medical Image Computing (ReMIC)
research focus:Lebenswissenschaften und Ethik
Einverstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.