CORE
🇺🇦
make metadata, not war
Services
Research
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Comprehensive cellular‐resolution atlas of the adult human brain
Authors
Thomas Benner
Amy Bernard
+38 more
Shiella Caldejon
Rachel A. Dalley
Chinh Dang
Nick Dee
Song‐Lin Ding
Tim A. Dolbeare
Benjamin A.C. Facer
Bruce Fischl
Angie Guillozet‐Bongaarts
Michael J. Hawrylycz
Patrick R. Hof
John G. Hohmann
Allan R. Jones
James A. Knowles
Christof Koch
Christopher Lau
Ed S. Lein
Phil Lesnar
Bergen McMurray
Lydia Ng
Julie Nyhus
John W. Phillips
Melissa Reding
Zackery L. Riley
Joshua J. Royall
David Sandman
Nenad Sestan
Elaine Shen
Allison Stevens
Susan M. Sunkin
Aaron Szafer
Lee Tirrell
Andre van der Kouwe
Ani Varjabedian
Paul Wohnoutka
Michelle Write
H. Ronald Zielke
Lilla Zollei
Publication date
18 November 2016
Publisher
'Wiley'
Doi
Abstract
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
Similar works
Full text
Available Versions
Sustaining member
Harvard University - DASH
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:dash.harvard.edu:1/2940828...
Last time updated on 17/04/2018