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A mesoscale connectome of the mouse brain

Authors :
Nicholas Cain
Allan R. Jones
Michael Hawrylycz
Karla E. Hirokawa
Phillip Bohn
Stefan Mihalas
Chris Lau
Eric Nicholas
Chinh Dang
Brent Winslow
Staci A. Sorensen
Seung Wook Oh
Julie A. Harris
Clifford R. Slaughterbeck
Quanxin Wang
Kevin M. Joines
Anh Ho
Wayne Wakeman
Hanchuan Peng
John G. Hohmann
Yang Li
Benjamin Ouellette
John W. Phillips
Hongkui Zeng
Lydia Ng
Paul Wohnoutka
Thuc Nghi Nguyen
Amy Bernard
Alex M. Henry
David Feng
Leonard Kuan
Christof Koch
Marty Mortrud
Charles R. Gerfen
Publication Year :
2014

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.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....698813ed79ddb4ce5b6ef1cf155fc73f