000845833 001__ 845833
000845833 005__ 20210129233700.0
000845833 0247_ $$2doi$$a10.1101/165951
000845833 0247_ $$2doi$$a10.1162/netn_a_00050
000845833 0247_ $$2Handle$$a2128/21725
000845833 0247_ $$2pmid$$apmid:30793072
000845833 0247_ $$2WOS$$aWOS:000449591500002
000845833 0247_ $$2altmetric$$aaltmetric:34295947
000845833 037__ $$aFZJ-2018-03040
000845833 082__ $$a610
000845833 1001_ $$0P:(DE-HGF)0$$aBottenhorn, Katherine L$$b0
000845833 245__ $$aCooperating yet distinct brain networks engaged during naturalistic paradigms: A meta-analysis of functional MRI results
000845833 260__ $$aCambridge, MA$$bThe MIT Press$$c2019
000845833 3367_ $$2DRIVER$$aarticle
000845833 3367_ $$2DataCite$$aOutput Types/Journal article
000845833 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1550843266_4116
000845833 3367_ $$2BibTeX$$aARTICLE
000845833 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000845833 3367_ $$00$$2EndNote$$aJournal Article
000845833 500__ $$aThis study was supported by awards from the National Institute of Drug Abuse (U01-DA041156, K01-DA037819, U24-DA039832, R01DA041353), the National Institute of Mental Health (R56-MH097870),and the National Science Foundation (1631325 and REAL DRL-1420627). The authors declare no competing financial interests
000845833 520__ $$aCognitive processes do not occur by pure insertion and instead depend on the full complement of co-occurring mental processes, including perceptual and motor functions. As such, there is limited ecological validity to human neuroimaging experiments that use highly controlled tasks to isolate mental processes of interest. However, a growing literature shows how dynamic, interactive tasks have allowed researchers to study cognition as it more naturally occurs. Collective analysis across such neuroimaging experiments may answer broader questions regarding how naturalistic cognition is biologically distributed throughout the brain. We applied an unbiased, data-driven, meta-analytic approach that uses k-means clustering to identify core brain networks engaged across the naturalistic functional neuroimaging literature. Functional decoding allowed us to, then, delineate how information is distributed between these networks throughout the execution of dynamical cognition in realistic settings. This analysis revealed six recurrent patterns of brain activation, representing sensory, domain-specific, and attentional neural networks that support the cognitive demands of naturalistic paradigms. Though gaps in the literature remain, these results suggest that naturalistic fMRI paradigms recruit a common set of networks that that allow both separate processing of different streams of information and integration of relevant information to enable flexible cognition and complex behavior.
000845833 536__ $$0G:(DE-HGF)POF3-574$$a574 - Theory, modelling and simulation (POF3-574)$$cPOF3-574$$fPOF III$$x0
000845833 588__ $$aDataset connected to DataCite
000845833 7001_ $$0P:(DE-HGF)0$$aFlannery, Jessica S$$b1
000845833 7001_ $$0P:(DE-HGF)0$$aBoeving, Emily R$$b2
000845833 7001_ $$0P:(DE-HGF)0$$aRiedel, Michael C$$b3
000845833 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b4$$ufzj
000845833 7001_ $$0P:(DE-HGF)0$$aSutherland, Matthew T$$b5
000845833 7001_ $$0P:(DE-HGF)0$$aLaird, Angela R$$b6$$eCorresponding author
000845833 773__ $$0PERI:(DE-600)2900481-0$$a10.1162/netn_a_00050$$n1$$p27-48$$tNetwork neuroscience$$v3$$x2472-1751$$y2019
000845833 8564_ $$uhttps://doi.org/10.1162/netn_a_00050
000845833 8564_ $$uhttps://juser.fz-juelich.de/record/845833/files/Bottenhorn18.pdf$$yOpenAccess
000845833 8564_ $$uhttps://juser.fz-juelich.de/record/845833/files/Bottenhorn18.gif?subformat=icon$$xicon$$yOpenAccess
000845833 8564_ $$uhttps://juser.fz-juelich.de/record/845833/files/Bottenhorn18.jpg?subformat=icon-1440$$xicon-1440$$yOpenAccess
000845833 8564_ $$uhttps://juser.fz-juelich.de/record/845833/files/Bottenhorn18.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
000845833 8564_ $$uhttps://juser.fz-juelich.de/record/845833/files/Bottenhorn18.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
000845833 909CO $$ooai:juser.fz-juelich.de:845833$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000845833 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131678$$aForschungszentrum Jülich$$b4$$kFZJ
000845833 9131_ $$0G:(DE-HGF)POF3-574$$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$$vTheory, modelling and simulation$$x0
000845833 9141_ $$y2019
000845833 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000845833 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal
000845833 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ
000845833 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000845833 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Peer review
000845833 920__ $$lyes
000845833 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x0
000845833 980__ $$ajournal
000845833 980__ $$aVDB
000845833 980__ $$aUNRESTRICTED
000845833 980__ $$aI:(DE-Juel1)INM-7-20090406
000845833 9801_ $$aFullTexts