News Release

Cellular structure of the human metathalamus revealed in novel 3D map

Peer-Reviewed Publication

Human Brain Project

Metathalamus

image: High-resolution 3D reconstruction of the two metathalamic structures: six layers of the lateral geniculate body (left) and three subdivisions of the medial geniculate body (right) in the BigBrain dataset view more 

Credit: Kiwitz, Brandstetter et al, 2022

The human metathalamus is extremely important for relaying auditory and visual signals to the rest of the brain. However, a detailed, three-dimensional map of the cellular structure of the area was still missing. Using the BigBrain dataset, an integral part of the HBP, the researchers focused on the two distinct parts of the metathalamus: the medial geniculate body (MGB) with its subdivisions; and lateral geniculate body (LGB) with its six layers.

“The BigBrain dataset helps us to understand the structure of complex subcortical nuclei” explains Andrea Brandstetter of the Institute of Neuroscience and Medicine, Forschungszentrum Jülich, in a video by HBP partnering project HIBALL. "Novel deep-learning-based approaches are used to learn about the topography and the cellular architecture of the metathalamus” continues Kai Kiwitz of the Cécile and Oskar Vogt Institute of Brain Research, University Hospital Düsseldorf. 

The new 3D maps are freely available online as part of the EBRAINS Atlas; you can navigate  them here. “This way they can be used by the scientific community to bridge the microscale histology of BigBrain with functional measurements” explains Kiwitz. In addition to expanding our knowledge of the brain structure, the maps also have clinical relevance: many neurological disorders and dysfunctions involve the metathalamus, and highly detailed information regarding these structures could be used in conjunction with neuroimaging to better inform diagnosis and aid neurosurgery and deep brain stimulation.

The study was funded by the Human Brain Project, the Helmholtz International BigBrain Analytics and Learning Laboratory, the German Federal Ministry of Education and Research and the Max Planck Society for the Advancement of Science. Computing time was provided by the Jülich Supercomputing Centre.


Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.