Journal
JOURNAL OF COMPARATIVE NEUROLOGY
Volume 524, Issue 16, Pages 3127-3481Publisher
WILEY
DOI: 10.1002/cne.24080
Keywords
brain atlas; cerebral cortex; hippocampal formation; thalamus; hypothalamus; amygdala; cerebellum; brainstem; MRI; DWI; cytoarchitecture; parvalbumin; neurofilament protein; RRIDs: AB_10000343; AB_2314904; SCR_014329
Categories
Funding
- National Institutes of Health (NIH) [RC2 MH089921]
- Allen Institute for Brain Science
- National Institute for Biomedical Imaging and Bioengineering [P41 EB015896, R01 EB006758, R21 EB018907, R01 EB019956]
- National Institute on Aging [5R01 AG008122, R01 AG016495]
- National Institute for Neurological Disorders and Stroke [R01 NS0525851, R21 NS072652, R01 NS070963, R01 NS083534, 5U01 NS086625]
- Shared Instrumentation Grants [1S10 RR023401, 1S10 RR019307, 1S10 RR023043]
- National Institutes of Health Blueprint for Neuroscience Research part of the multi-institutional Human Connectome Project [5U01 MH093765]
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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 mu m/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. (c) 2016 The Authors The Journal of Comparative Neurology Published by Wiley Periodicals, Inc.
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