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An interactive framework for whole-brain maps at cellular resolution.
- Source :
-
Nature neuroscience [Nat Neurosci] 2018 Jan; Vol. 21 (1), pp. 139-149. Date of Electronic Publication: 2017 Dec 04. - Publication Year :
- 2018
-
Abstract
- To deconstruct the architecture and function of brain circuits, it is necessary to generate maps of 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, interactive mouse brain atlas. This framework enables connectivity and mapping projects in individual laboratories and 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 :
- Animals
Gene Expression Regulation genetics
Gene Expression Regulation physiology
Genes, Immediate-Early physiology
Glutamate Decarboxylase metabolism
Green Fluorescent Proteins genetics
Green Fluorescent Proteins metabolism
LIM-Homeodomain Proteins genetics
LIM-Homeodomain Proteins metabolism
Male
Mice, Transgenic
Motor Activity
Nerve Tissue Proteins genetics
Nerve Tissue Proteins metabolism
Neuropeptide Y metabolism
Parvalbumins metabolism
Transcription Factors genetics
Transcription Factors metabolism
Brain cytology
Brain Mapping
Nerve Net physiology
Neural Pathways physiology
Neurons physiology
Subjects
Details
- Language :
- English
- ISSN :
- 1546-1726
- Volume :
- 21
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Nature neuroscience
- Publication Type :
- Academic Journal
- Accession number :
- 29203898
- Full Text :
- https://doi.org/10.1038/s41593-017-0027-7