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Zebrafish brain mapping—standardized spaces, length scales, and the power of N and n
Author(s) -
Hunter Paul R.,
Hendry Aenea C.,
Lowe Andrew S.
Publication year - 2015
Publication title -
developmental neurobiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.716
H-Index - 129
eISSN - 1932-846X
pISSN - 1932-8451
DOI - 10.1002/dneu.22248
Subject(s) - zebrafish , neuroimaging , biology , data science , key (lock) , population , brain mapping , neuroscience , scale (ratio) , visualization , brain function , cognitive science , computer science , ecology , artificial intelligence , cartography , psychology , geography , biochemistry , demography , sociology , gene
Mapping anatomical and functional parameters of the zebrafish brain is moving apace. Research communities undertaking such studies are becoming ever larger and more diverse. The unique features, tools, and technologies associated with zebrafish are propelling them as the 21st century model organism for brain mapping. Uniquely positioned as a vertebrate model system, the zebrafish enables imaging of anatomy and function at different length scales from intraneuronal compartments to sparsely distributed whole brain patterns. With a variety of diverse and established statistical modeling and analytic methods available from the wider brain mapping communities, the richness of zebrafish neuroimaging data is being realized. The statistical power of population observations (N) within and across many samples (n) projected onto a standardized space will provide vast databases for data‐driven biological approaches. This article reviews key brain mapping initiatives at different levels of scale that highlight the potential of zebrafish brain mapping. By way of introduction to the next wave of brain mappers, an accessible introduction to the key concepts and caveats associated with neuroimaging are outlined and discussed. © 2014 Wiley Periodicals, Inc. Develop Neurobiol 75: 557–568, 2015