Hanchuan Peng (Fellow, IEEE and AIMBE; Executive & Founding Director – Institute for Brain and Intelligence; Executive Director – SEU-ALLEN INSTITUTE Joint Center;Adjunct Professor, University of Georgia (USA)) develops technologies to generate, manage, visualize, analyze, and understand massive-scale structure and function data related to brains and other biomedical applications. Peng was the Director – Advanced Computing, Allen Institute for Brain Science at Seattle, USA and also an Affiliate Professor with University of Washington. Peng pioneered in building the first Big Image Computing team of Janelia, Howard Hughes Medical Institute. He has published in Nature, Cell, Neuron, Nature Biotechnology, Nature Methods, Nature Neuroscience, Nature Communications, PNAS, IEEE Pattern Analysis and Machine Intelligence and many other top-tier venues, His work has been cited more than 20,000 times.
Title:
Whole Brain Analysis of Single Neurons
Abstract:
To date mesoscale analyses of the brain architecture have shown limited detail of neuronal pathways. To understand the finer structures of the brain, we developed a cross-validated multicenter platform to generate high-quality reconstructions of mouse neurons with complete characterization of their local and distal arbors at the brain-wide scale. Collaborating with several labs that use various approaches to label neurons sparsely, we developed technologies to extract single neuron information from whole-brain imaging data of such sparsely labeled neurons. One key type of information is the full-scale neuron reconstruction which is further registered to a standard brain atlas (Allen Common Coordinate Framework). To share this resource we produced an online gallery for video browsing and downloading of the neuronal patterns. Further, we produced neuron morphometry of over 10,000 neurite arbors of this dataset and the first detailed brain-wide projection arbor map of a mouse brain. Detailed analysis of this map indicates that the global diversity of neuron arbors correlates with the respective cell types, but topography of neurons originated from various brain areas, including thalamus, striatum, cerebral cortex, etc, exhibits only anatomy specific consistency. Quantification of individual, ordered arborization patterns of single neurons with the respective mesoscale neuronal populations demonstrates that the diversity of anatomy-specific neurons in terms of their morphology and projections. The microanatomy of these neurons underscores that spatial patterning of individual neurons, but not their overall populational projections, offers a high-resolution view of brain’s wiring redundancy and efficiency.
