000877949 001__ 877949
000877949 005__ 20210130005309.0
000877949 0247_ $$2doi$$a10.1016/j.neuroimage.2020.117140
000877949 0247_ $$2pmid$$apmid:32650053
000877949 0247_ $$2ISSN$$a1053-8119
000877949 0247_ $$2ISSN$$a1095-9572
000877949 0247_ $$2Handle$$a2128/25357
000877949 0247_ $$2altmetric$$aaltmetric:85431410
000877949 0247_ $$2WOS$$aWOS:000600795000011
000877949 037__ $$aFZJ-2020-02528
000877949 041__ $$aeng
000877949 082__ $$a610
000877949 1001_ $$0P:(DE-Juel1)172712$$aBajada, Claude J$$b0$$eCorresponding author
000877949 245__ $$aA tutorial and tool for exploring feature similarity gradients with MRI data.
000877949 260__ $$aOrlando, Fla.$$bAcademic Press$$c2020
000877949 3367_ $$2DRIVER$$aarticle
000877949 3367_ $$2DataCite$$aOutput Types/Journal article
000877949 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1595599962_7272
000877949 3367_ $$2BibTeX$$aARTICLE
000877949 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000877949 3367_ $$00$$2EndNote$$aJournal Article
000877949 520__ $$aThere has been an increasing interest in examining organisational principles of the cerebral cortex (and subcortical regions) using different MRI features such as structural or functional connectivity. Despite the widespread interest, introductory tutorials on the underlying technique targeted for the novice neuroimager are sparse in the literature. Articles that investigate various 'neural gradients' (for example based on region studied 'cortical gradients,' 'cerebellar gradients,' 'hippocampal gradients' etc … or feature of interest 'functional gradients,' 'cytoarchitectural gradients,' 'myeloarchitectural gradients' etc…) have increased in popularity. Thus, we believe that it is opportune to discuss what is generally meant by 'gradient analysis'. We introduce basics concepts in graph theory, such as graphs themselves, the degree matrix, and the adjacency matrix. We discuss how one can think about gradients of feature similarity (the similarity between timeseries in fMRI, or streamline in tractography) using graph theory and we extend this to explore such gradients across the whole MRI scale; from the voxel level to the whole brain level. We proceed to introduce a measure for quantifying the level of similarity in regions of interest. We propose the term 'the Vogt-Bailey index' for such quantification to pay homage to our history as a brain mapping community. We run through the techniques on sample datasets including a brain MRI as an example of the application of the techniques on real data and we provide several appendices that expand upon details. To maximise intuition, the appendices contain a didactic example describing how one could use these techniques to solve a particularly pernicious problem that one may encounter at a wedding. Accompanying the article is a tool, available in both MATLAB and Python, that enables readers to perform the analysis described in this article on their own data. We refer readers to the graphical abstract as an overview of the analysis pipeline presented in this work.
000877949 536__ $$0G:(DE-HGF)POF3-571$$a571 - Connectivity and Activity (POF3-571)$$cPOF3-571$$fPOF III$$x0
000877949 536__ $$0G:(EU-Grant)785907$$aHBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)$$c785907$$fH2020-SGA-FETFLAG-HBP-2017$$x1
000877949 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$x2
000877949 588__ $$aDataset connected to CrossRef, PubMed,
000877949 7001_ $$0P:(DE-Juel1)172611$$aCampos, Lucas Q Costa$$b1
000877949 7001_ $$0P:(DE-Juel1)131675$$aCaspers, Svenja$$b2
000877949 7001_ $$0P:(DE-HGF)0$$aMuscat, Richard$$b3
000877949 7001_ $$0P:(DE-HGF)0$$aParker, Geoff J M$$b4
000877949 7001_ $$0P:(DE-HGF)0$$aRalph, Matthew A Lambon$$b5
000877949 7001_ $$0P:(DE-HGF)0$$aCloutman, Lauren L$$b6
000877949 7001_ $$0P:(DE-HGF)0$$aTrujillo-Barreto, Nelson J$$b7$$eCorresponding author
000877949 773__ $$0PERI:(DE-600)1471418-8$$a10.1016/j.neuroimage.2020.117140$$gp. 117140 -$$p117140$$tNeuroImage$$v221$$x1053-8119$$y2020
000877949 8564_ $$uhttps://juser.fz-juelich.de/record/877949/files/1-s2.0-S1053811920306261-main.pdf$$yOpenAccess
000877949 8564_ $$uhttps://juser.fz-juelich.de/record/877949/files/1-s2.0-S1053811920306261-main.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000877949 909CO $$ooai:juser.fz-juelich.de:877949$$pdnbdelivery$$pec_fundedresources$$pVDB$$pdriver$$popen_access$$popenaire
000877949 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172611$$aForschungszentrum Jülich$$b1$$kFZJ
000877949 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131675$$aForschungszentrum Jülich$$b2$$kFZJ
000877949 9131_ $$0G:(DE-HGF)POF3-571$$1G:(DE-HGF)POF3-570$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lDecoding the Human Brain$$vConnectivity and Activity$$x0
000877949 9141_ $$y2020
000877949 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2020-01-03
000877949 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2020-01-03
000877949 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2020-01-03
000877949 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2020-01-03
000877949 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2020-01-03
000877949 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bNEUROIMAGE : 2018$$d2020-01-03
000877949 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2020-01-03
000877949 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index$$d2020-01-03
000877949 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2020-01-03
000877949 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000877949 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2020-01-03
000877949 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bNEUROIMAGE : 2018$$d2020-01-03
000877949 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database$$d2020-01-03
000877949 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2020-01-03
000877949 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2020-01-03
000877949 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000877949 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2020-01-03$$wger
000877949 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2020-01-03
000877949 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000877949 980__ $$ajournal
000877949 980__ $$aVDB
000877949 980__ $$aUNRESTRICTED
000877949 980__ $$aI:(DE-Juel1)INM-1-20090406
000877949 9801_ $$aFullTexts