An In Vivo Three-Dimensional Magnetic Resonance Imaging-Based Averaged Brain Collection of the Neonatal Piglet (Sus scrofa)
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{"title"=>"An in vivo three-dimensional magnetic resonance imaging-based averaged brain collection of the neonatal piglet (Sus scrofa)", "type"=>"journal", "authors"=>[{"first_name"=>"Matthew S.", "last_name"=>"Conrad", "scopus_author_id"=>"55263884300"}, {"first_name"=>"Bradley P.", "last_name"=>"Sutton", "scopus_author_id"=>"7102842696"}, {"first_name"=>"Ryan N.", "last_name"=>"Dilger", "scopus_author_id"=>"6602508522"}, {"first_name"=>"Rodney W.", "last_name"=>"Johnson", "scopus_author_id"=>"7407017562"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"doi"=>"10.1371/journal.pone.0107650", "scopus"=>"2-s2.0-84907587767", "pui"=>"600067930", "isbn"=>"19326203 (ISSN)", "pmid"=>"25254955", "issn"=>"19326203", "sgr"=>"84907587767"}, "id"=>"7e9b6346-0710-3ddb-8f02-da43b6b544b3", "abstract"=>"Due to the fact that morphology and perinatal growth of the piglet brain is similar to humans, use of the piglet as a translational animal model for neurodevelopmental studies is increasing. Magnetic resonance imaging (MRI) can be a powerful tool to study neurodevelopment in piglets, but many of the MRI resources have been produced for adult humans. Here, we present an average in vivo MRI-based atlas specific for the 4-week-old piglet. In addition, we have developed probabilistic tissue classification maps. These tools can be used with brain mapping software packages (e.g. SPM and FSL) to aid in voxel-based morphometry and image analysis techniques. The atlas enables efficient study of neurodevelopment in a highly tractable translational animal with brain growth and development similar to humans.", "link"=>"http://www.mendeley.com/research/vivo-threedimensional-magnetic-resonance-imagingbased-averaged-brain-collection-neonatal-piglet-sus", "reader_count"=>27, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Researcher"=>6, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>10, "Student > Postgraduate"=>1, "Student > Master"=>3, "Other"=>1, "Student > Bachelor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Researcher"=>6, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>10, "Student > Postgraduate"=>1, "Student > Master"=>3, "Other"=>1, "Student > Bachelor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Engineering"=>5, "Agricultural and Biological Sciences"=>7, "Medicine and Dentistry"=>3, "Neuroscience"=>3, "Veterinary Science and Veterinary Medicine"=>3, "Chemistry"=>1, "Computer Science"=>1, "Social Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>5}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>3}, "Neuroscience"=>{"Neuroscience"=>3}, "Chemistry"=>{"Chemistry"=>1}, "Social Sciences"=>{"Social Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>7}, "Computer Science"=>{"Computer Science"=>1}, "Unspecified"=>{"Unspecified"=>3}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>3}}, "reader_count_by_country"=>{"United States"=>1}, "group_count"=>1}

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Relative Metric

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