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dc.contributor.authorGilbert, Jessica R.en
dc.contributor.authorMoran, Rosalyn J.en
dc.date.accessioned2017-11-09T19:39:59Zen
dc.date.available2017-11-09T19:39:59Zen
dc.date.issued2016-08-23en
dc.identifier.urihttp://hdl.handle.net/10919/80032en
dc.description.abstractPredictive coding models of brain function propose that top-down cortical signals promote efficient neural codes by carrying predictions of upcoming sensory events. We hypothesized that older brains would employ these codes more prominently given their longer repertoire of sensory experience. We measured the connectivity underlying stimulus-evoked responses in cortical visual networks using electroencephalography and dynamic causal modeling and found that in young adults with reported normal or corrected-to-normal vision, signals propagated from early visual regions and reverberated along reciprocal connections to temporal, parietal and frontal cortices, while in contrast, the network was driven by both early visual and prefrontal inputs in older adults with reported normal or corrected-to-normal vision. Previously thought of as exceptions to the rule of bottom-up signal propagation, our results demonstrate a prominent role for prefrontal inputs in driving vision in aged brains in line with lifespan-dependent predictive neural codes.en
dc.language.isoen_USen
dc.publisherScientific Reportsen
dc.rightsCreative Commons Attribution 3.0 United Statesen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/en
dc.subjectCognitive neuroscienceen
dc.subjectComputational neuroscienceen
dc.titleInputs to prefrontal cortex support visual recognition in the aging brainen
dc.typeArticle - Refereeden
dc.title.serialScientific Reportsen
dc.identifier.doihttps://doi.org/10.1038/srep31943en
dc.identifier.volume6en


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Creative Commons Attribution 3.0 United States
License: Creative Commons Attribution 3.0 United States