Details

Autor(en) / Beteiligte

• Ding, Song-Lin
• Royall, Joshua J.
• Sunkin, Susan M.
• Ng, Lydia
• Facer, Benjamin A.C.
• Lesnar, Phil
• Guillozet-Bongaarts, 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
• van der 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.

Titel

Comprehensive cellular-resolution atlas of the adult human brain

Ist Teil von

• Journal of comparative neurology (1911), 2016-11, Vol.524 (16), p.Spc1-Spc1

Ort / Verlag

Blackwell Publishing Ltd

Erscheinungsjahr

2016

Quelle

Wiley Online Library All Journals

Beschreibungen/Notizen

• ABSTRACT 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.