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An interactive framework for whole-brain maps at cellular resolution
- Source :
- Nature Neuroscience. 21:139-149
- Publication Year :
- 2017
- Publisher :
- Springer Science and Business Media LLC, 2017.
-
Abstract
- To deconstruct the architecture and function of brain circuits, it is necessary to generate maps of the neuronal connectivity and activity on a whole brain scale. New methods now enable large-scale mapping of the mouse brain at cellular and subcellular resolution. We developed a framework to automatically annotate, analyze, visualize, and easily share whole-brain data at cellular resolution, based on a scale-invariant and interactive mouse brain atlas. This framework enables connectivity and mapping projects in individual laboratories, across imaging platforms, as well as multiplexed quantitative information on the molecular identity of single neurons. As a proof of concept, we generated a comparative connectivity map of five major neuron types in the corticostriatal circuit, as well as an activity-based map to identify hubs mediating the behavioral effects of cocaine. Thus, this computational framework provides the necessary tools to generate brain maps that integrate data from connectivity, neuron identity and function.
- Subjects :
- Male
0301 basic medicine
Computer science
Green Fluorescent Proteins
LIM-Homeodomain Proteins
Mice, Transgenic
Nerve Tissue Proteins
Image processing
Motor Activity
Machine learning
computer.software_genre
Brain mapping
Article
03 medical and health sciences
Software
Neural Pathways
Biological neural network
Animals
Neuropeptide Y
Genes, Immediate-Early
Neurons
Brain Mapping
Glutamate Decarboxylase
business.industry
General Neuroscience
Brain atlas
Brain
Parvalbumins
030104 developmental biology
Gene Expression Regulation
Proof of concept
Identity (object-oriented programming)
Artificial intelligence
Nerve Net
business
Scale (map)
computer
Neuroscience
Transcription Factors
Subjects
Details
- ISSN :
- 15461726 and 10976256
- Volume :
- 21
- Database :
- OpenAIRE
- Journal :
- Nature Neuroscience
- Accession number :
- edsair.doi.dedup.....15ff80f0b3b528a2c87a82355762ae29