Literature DB >> 23788795

BigBrain: an ultrahigh-resolution 3D human brain model.

Katrin Amunts1, 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.   

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.

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Mesh:

Year:  2013        PMID: 23788795     DOI: 10.1126/science.1235381

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  173 in total

Review 1.  Connectivity-based parcellation: Critique and implications.

Authors:  Simon B Eickhoff; Bertrand Thirion; Gaël Varoquaux; Danilo Bzdok
Journal:  Hum Brain Mapp       Date:  2015-09-27       Impact factor: 5.038

2.  Neuroscience: solving the brain.

Authors:  Alison Abbott
Journal:  Nature       Date:  2013-07-18       Impact factor: 49.962

Review 3.  Baby brain atlases.

Authors:  Kenichi Oishi; Linda Chang; Hao Huang
Journal:  Neuroimage       Date:  2018-04-03       Impact factor: 6.556

4.  Mapping the human subcortical auditory system using histology, postmortem MRI and in vivo MRI at 7T.

Authors:  Kevin R Sitek; Omer Faruk Gulban; Satrajit S Ghosh; Federico De Martino; Evan Calabrese; G Allan Johnson; Agustin Lage-Castellanos; Michelle Moerel
Journal:  Elife       Date:  2019-08-01       Impact factor: 8.140

5.  A framework for evaluating correspondence between brain images using anatomical fiducials.

Authors:  Jonathan C Lau; Andrew G Parrent; John Demarco; Geetika Gupta; Jason Kai; Olivia W Stanley; Tristan Kuehn; Patrick J Park; Kayla Ferko; Ali R Khan; Terry M Peters
Journal:  Hum Brain Mapp       Date:  2019-06-07       Impact factor: 5.038

6.  Studying brain organization via spontaneous fMRI signal.

Authors:  Jonathan D Power; Bradley L Schlaggar; Steven E Petersen
Journal:  Neuron       Date:  2014-11-19       Impact factor: 17.173

Review 7.  Towards a mechanistic understanding of the human subcortex.

Authors:  Birte U Forstmann; Gilles de Hollander; Leendert van Maanen; Anneke Alkemade; Max C Keuken
Journal:  Nat Rev Neurosci       Date:  2016-12-15       Impact factor: 34.870

8.  Measurement of multispectral scattering properties in mouse brain tissue.

Authors:  Eunjung Min; Sungbea Ban; Yanyan Wang; Sung Chul Bae; Gabriel Popescu; Catherine Best-Popescu; Woonggyu Jung
Journal:  Biomed Opt Express       Date:  2017-02-23       Impact factor: 3.732

9.  Population-averaged atlas of the macroscale human structural connectome and its network topology.

Authors:  Fang-Cheng Yeh; Sandip Panesar; David Fernandes; Antonio Meola; Masanori Yoshino; Juan C Fernandez-Miranda; Jean M Vettel; Timothy Verstynen
Journal:  Neuroimage       Date:  2018-05-24       Impact factor: 6.556

10.  Blockface histology with optical coherence tomography: a comparison with Nissl staining.

Authors:  Caroline Magnain; Jean C Augustinack; Martin Reuter; Christian Wachinger; Matthew P Frosch; Timothy Ragan; Taner Akkin; Van J Wedeen; David A Boas; Bruce Fischl
Journal:  Neuroimage       Date:  2013-09-13       Impact factor: 6.556

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