| Literature DB >> 24695228 |
Seung Wook Oh1, Julie A Harris1, Lydia Ng1, Brent Winslow2, Nicholas Cain2, Stefan Mihalas2, Quanxin Wang2, Chris Lau2, Leonard Kuan2, Alex M Henry2, Marty T Mortrud2, Benjamin Ouellette2, Thuc Nghi Nguyen2, Staci A Sorensen2, Clifford R Slaughterbeck2, Wayne Wakeman2, Yang Li2, David Feng2, Anh Ho2, Eric Nicholas2, Karla E Hirokawa2, Phillip Bohn2, Kevin M Joines2, Hanchuan Peng2, Michael J Hawrylycz2, John W Phillips2, John G Hohmann2, Paul Wohnoutka2, Charles R Gerfen3, Christof Koch2, Amy Bernard2, Chinh Dang2, Allan R Jones2, Hongkui Zeng2.
Abstract
Comprehensive knowledge of the brain's wiring diagram is fundamental for understanding how the nervous system processes information at both local and global scales. However, with the singular exception of the C. elegans microscale connectome, there are no complete connectivity data sets in other species. Here we report a brain-wide, cellular-level, mesoscale connectome for the mouse. The Allen Mouse Brain Connectivity Atlas uses enhanced green fluorescent protein (EGFP)-expressing adeno-associated viral vectors to trace axonal projections from defined regions and cell types, and high-throughput serial two-photon tomography to image the EGFP-labelled axons throughout the brain. This systematic and standardized approach allows spatial registration of individual experiments into a common three dimensional (3D) reference space, resulting in a whole-brain connectivity matrix. A computational model yields insights into connectional strength distribution, symmetry and other network properties. Virtual tractography illustrates 3D topography among interconnected regions. Cortico-thalamic pathway analysis demonstrates segregation and integration of parallel pathways. The Allen Mouse Brain Connectivity Atlas is a freely available, foundational resource for structural and functional investigations into the neural circuits that support behavioural and cognitive processes in health and disease.Entities:
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Year: 2014 PMID: 24695228 PMCID: PMC5102064 DOI: 10.1038/nature13186
Source DB: PubMed Journal: Nature ISSN: 0028-0836 Impact factor: 49.962