BigBrain: An ultrahigh-resolution 3D human brain model

Katrin Amunts, Claude Lepage, Louis Borgeat, Hartmut Mohlberg, Timo Dickscheid, Marc Étienne Rousseau, Sebastian Bludau, Pierre Louis Bazin, Lindsay B. Lewis, Ana Maria Oros-Peusquens, Nadim J. Shah, Thomas Lippert, Karl Zilles, Alan C. Evans

Research output: Contribution to journalArticlepeer-review

Abstract

Reference brains are indispensable tools in human brain mapping, enabling integration of multimodal data into an anatomically realistic standard space. Available reference brains, however, are restricted to the macroscopic scale and do not provide information on the functionally important microscopic dimension. We created an ultrahigh-resolution three-dimensional (3D) model of a human brain at nearly cellular resolution of 20 micrometers, based on the reconstruction of 7404 histological sections. "BigBrain" is a free, publicly available tool that provides considerable neuroanatomical insight into the human brain, thereby allowing the extraction of microscopic data for modeling and simulation. BigBrain enables testing of hypotheses on optimal path lengths between interconnected cortical regions or on spatial organization of genetic patterning, redefining the traditional neuroanatomy maps such as those of Brodmann and von Economo.

Original languageEnglish (US)
Pages (from-to)1472-1475
Number of pages4
JournalScience
Volume340
Issue number6139
DOIs
StatePublished - 2013

ASJC Scopus subject areas

  • General

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