Home > Publications database > Brain imaging genomics: influences of genomic variability on the structure and function of the human brain. > print

001     888761
005     20210304134019.0
024 7 _ |a 10.1515/medgen-2020-2007
|2 doi
024 7 _ |a 2128/26490
|2 Handle
024 7 _ |a altmetric:89146616
|2 altmetric
024 7 _ |a WOS:000616688700008
|2 WOS
037 _ _ |a FZJ-2020-05190
082 _ _ |a 610
100 1 _ |a Mühleisen, Thomas
|0 P:(DE-Juel1)156419
|b 0
245 _ _ |a Brain imaging genomics: influences of genomic variability on the structure and function of the human brain.
260 _ _ |c 2020
|b De Gruyter
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1607691267_8414
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a The past 15 years have witnessed unprecedented advances in the acquisition of brain imaging and genomics data. Brain imaging genomics is a rapidly evolving research field that combines data obtained through: (1) analyses of genetic variation, such as single-nucleotide polymorphisms (SNPs), copy number variations (CNVs), and epigenetic information; and (2) different brain imaging methods, usually magnetic resonance imaging (MRI). The major aim is to provide insights into the genetic architecture of biological pathways that influence normal and disturbed brain structure and function. This information may facilitate understanding of the functioning of the human brain. For brain disorders such as neuropsychiatric and neurological disorders, this knowledge may improve diagnostic and prognostic assessments and help to identify molecules that can be targeted by novel therapies.
536 _ _ |a 571 - Connectivity and Activity (POF3-571)
|0 G:(DE-HGF)POF3-571
|c POF3-571
|f POF III
|x 0
700 1 _ |a Forstner, Andreas
|0 P:(DE-Juel1)186755
|b 1
700 1 _ |a Hoffmann, P.
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Cichon, Sven
|0 P:(DE-Juel1)140234
|b 3
|e Corresponding author
773 _ _ |a 10.1515/medgen-2020-2007
|0 PERI:(DE-600)2163157-8
|n 1
|p 47-56
|t Medizinische Genetik
|v 32
|y 2020
|x 0936-5931
856 4 _ |u https://juser.fz-juelich.de/record/888761/files/%5B18635490%20-%20Medizinische%20Genetik%5D%20Brain%20imaging%20genomics%20influences%20of%20genomic%20variability%20on%20the%20structure%20and%20function%20of%20the%20human%20brain.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:888761
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)156419
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)186755
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)140234
913 1 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-571
|2 G:(DE-HGF)POF3-500
|v Connectivity and Activity
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
914 1 _ |y 2020
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-09-04
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b MED GENET-BERLIN : 2018
|d 2020-09-04
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2020-09-04
915 _ _ |a DEAL Springer
|0 StatID:(DE-HGF)3002
|2 StatID
|d 2020-09-04
|w ger
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-09-04
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-1-20090406
|k INM-1
|l Strukturelle und funktionelle Organisation des Gehirns
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-1-20090406
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21