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dc.contributor.authorCasagrande, Maria
dc.contributor.authorAgostini, Francesca
dc.contributor.authorFavieri, Francesca
dc.contributor.authorForte, Giuseppe
dc.contributor.authorGiovannoli, Jasmine
dc.contributor.authorGuarino, Angela
dc.contributor.authorMarotta, Andrea
dc.contributor.authorDoricchi, Fabrizio
dc.contributor.authorMartella, Diana
dc.date.accessioned2021-09-13T18:28:23Z
dc.date.available2021-09-13T18:28:23Z
dc.date.issued2021
dc.identifier10.3390/brainsci11091115
dc.identifier.issn20763425
dc.identifier.urihttps://hdl.handle.net/20.500.12728/9538
dc.description.abstractMany cognitive functions face a decline in the healthy elderly. Within the cognitive domains, both attentional processes and executive functions are impaired with aging. Attention includes three attentional networks, i.e., alerting, orienting, and executive control, showing a hemispheric lateralized pattern in adults. This lateralized pattern could play a role in modulating the efficiency of attentional networks. For these reasons, it could be relevant to analyze the age-related change of the hemispheric specialization of attentional networks. This study aims to clarify this aspect with a lateralized version of the Attentional Network Test for Interaction (ANTI)-Fruit. One hundred seventy-one participants took part in this study. They were divided in three age groups: youth (N = 57; range: 20–30); adults (N = 57; range 31–64), and elderly/older people (N = 57; range: 65–87). The results confirmed the previous outcomes on the efficiency and interactions among attentional networks. Moreover, an age-related generalized slowness was evidenced. These findings also support the hypothesis of a hemispheric asymmetry reduction in elderly/older adults.es_ES
dc.language.isoenes_ES
dc.publisherMDPIes_ES
dc.subjectAginges_ES
dc.subjectAlertinges_ES
dc.subjectAttentiones_ES
dc.subjectAttentional networkses_ES
dc.subjectExecutive controles_ES
dc.subjectLateralizationes_ES
dc.subjectOrientinges_ES
dc.titleAge-related changes in hemispherical specialization for attentional networkses_ES
dc.typeArticlees_ES


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