TY - JOUR
T1 - BigBrain
T2 - An ultrahigh-resolution 3D human brain model
AU - Amunts, Katrin
AU - Lepage, Claude
AU - Borgeat, Louis
AU - Mohlberg, Hartmut
AU - Dickscheid, Timo
AU - Rousseau, Marc Étienne
AU - Bludau, Sebastian
AU - Bazin, Pierre Louis
AU - Lewis, Lindsay B.
AU - Oros-Peusquens, Ana Maria
AU - Shah, Nadim J.
AU - Lippert, Thomas
AU - Zilles, Karl
AU - Evans, Alan C.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84879273802&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84879273802&partnerID=8YFLogxK
U2 - 10.1126/science.1235381
DO - 10.1126/science.1235381
M3 - Article
C2 - 23788795
AN - SCOPUS:84879273802
SN - 0036-8075
VL - 340
SP - 1472
EP - 1475
JO - Science
JF - Science
IS - 6139
ER -