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Comprehensive cellular‐resolution atlas of the adult human brain
Author(s) -
Ding SongLin,
Royall Joshua J.,
Sunkin Susan M.,
Ng Lydia,
Facer Benjamin A.C.,
Lesnar Phil,
GuillozetBongaarts Angie,
McMurray Bergen,
Szafer Aaron,
Dolbeare Tim A.,
Stevens Allison,
Tirrell Lee,
Benner Thomas,
Caldejon Shiella,
Dalley Rachel A.,
Dee Nick,
Lau Christopher,
Nyhus Julie,
Reding Melissa,
Riley Zackery L.,
Sandman David,
Shen Elaine,
Kouwe Andre,
Varjabedian Ani,
Write Michelle,
Zollei Lilla,
Dang Chinh,
Knowles James A.,
Koch Christof,
Phillips John W.,
Sestan Nenad,
Wohnoutka Paul,
Zielke H. Ronald,
Hohmann John G.,
Jones Allan R.,
Bernard Amy,
Hawrylycz Michael J.,
Hof Patrick R.,
Fischl Bruce,
Lein Ed S.
Publication year - 2016
Publication title -
journal of comparative neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.855
H-Index - 209
eISSN - 1096-9861
pISSN - 0021-9967
DOI - 10.1002/cne.24080
Subject(s) - cytoarchitecture , brain atlas , neuroimaging , atlas (anatomy) , human brain , neuroscience , neuroanatomy , white matter , spatial normalization , human protein atlas , magnetic resonance imaging , nissl body , biology , brain mapping , high resolution , computer science , artificial intelligence , voxel , anatomy , medicine , staining , biochemistry , radiology , gene , protein expression , genetics , remote sensing , geology
Detailed anatomical understanding of the human brain is essential for unraveling its functional architecture, yet current reference atlases have major limitations such as lack of whole‐brain coverage, relatively low image resolution, and sparse structural annotation. We present the first digital human brain atlas to incorporate neuroimaging, high‐resolution histology, and chemoarchitecture across a complete adult female brain, consisting of magnetic resonance imaging (MRI), diffusion‐weighted imaging (DWI), and 1,356 large‐format cellular resolution (1 µm/pixel) Nissl and immunohistochemistry anatomical plates. The atlas is comprehensively annotated for 862 structures, including 117 white matter tracts and several novel cyto‐ and chemoarchitecturally defined structures, and these annotations were transferred onto the matching MRI dataset. Neocortical delineations were done for sulci, gyri, and modified Brodmann areas to link macroscopic anatomical and microscopic cytoarchitectural parcellations. Correlated neuroimaging and histological structural delineation allowed fine feature identification in MRI data and subsequent structural identification in MRI data from other brains. This interactive online digital atlas is integrated with existing Allen Institute for Brain Science gene expression atlases and is publicly accessible as a resource for the neuroscience community. J. Comp. Neurol. 524:3127–3481, 2016. © 2016 The Authors The Journal of Comparative Neurology Published by Wiley Periodicals, Inc.