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dc.contributor.authorKUEHN, Simone
dc.contributor.authorDUEZEL, Sandra
dc.contributor.authorEIBICH, Peter
dc.contributor.authorKREKEL, Christian
dc.contributor.authorWUESTEMANN, Henry
dc.contributor.authorKOLBE, Jens
dc.contributor.authorMARTENSSON, Johan
dc.contributor.authorGOEBEL, Jan
dc.contributor.authorGALLINAT, Juergen
dc.contributor.authorWAGNER, Gert G.
dc.contributor.authorLINDENBERGER, Ulman
dc.date.accessioned2018-11-28T13:14:27Z
dc.date.available2018-11-28T13:14:27Z
dc.date.issued2017
dc.identifier.citationScientific reports, 2017, Vol. 7, (11920)
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/1814/59768
dc.descriptionPublished: 20 September 2017
dc.description.abstractEnriched environments elicit brain plasticity in animals. In humans it is unclear which environment is enriching. Living in a city has been associated with increased amygdala activity in a stress paradigm, and being brought up in a city with increased pregenual anterior cingulate cortex (pACC) activity. We set out to identify geographical characteristics that constitute an enriched environment affecting the human brain. We used structural equation modelling on 341 older adults to establish three latent brain factors ( amygdala, pACC and dorsolateral prefrontal cortex (DLPFC)) to test the effects of forest, urban green, water and wasteland around the home address. Our results reveal a significant positive association between the coverage of forest and amygdala integrity. We conclude that forests may have salutogenic effects on the integrity of the amygdala. Since cross-sectional data does not allow causal inference it could also be that individuals with high structural integrity choose to live closer to forest.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherNature Research (part of Springer Nature)en
dc.relation.ispartofScientific reports
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleIn search of features that constitute an 'enriched environment' in humans : associations between geographical properties and brain structure
dc.typeArticle
dc.identifier.doi10.1038/s41598-017-12046-7
dc.identifier.volume7
eui.subscribe.skiptrue
dc.rights.licenseCreative Commons CC BY 4.0


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