Semantically unique items are concrete entities characterized by a unique cluster of semantic information. In this field, neuropsychology has always given more attention to faces than to other kind of stimuli. An important category that has been largely neglected so far is famous buildings. A total of 200 healthy Italian adults with age, sex and education homogenously distributed across subgroups were administered a famous buildings naming and recognition test, which assessed both visual and verbal modalities. The test was divided in seven sections; norms were calculated taking into account demographic variables such as age, sex and education. Multiple regression analyses showed that education influenced significantly the performance on all subtests; age had a significant effect for five subtests; sex for three subtests. Adjusted scores were used to determine inferential cutoff scores and to compute equivalent scores. © Springer-Verlag 2010.
Recognition and naming of famous buildings: Italian normative data / Mina, Concetta; Marianetti, Massimo; Fratino, Mariangela; Mirella, Montemurro; Vanacore, Nicola; Amabile, Giuseppe Amadio. - In: NEUROLOGICAL SCIENCES. - ISSN 1590-1874. - STAMPA. - 31:4(2010), pp. 441-447. [10.1007/s10072-010-0244-2]
Recognition and naming of famous buildings: Italian normative data
MINA, Concetta;MARIANETTI, Massimo;FRATINO, MARIANGELA;VANACORE, NICOLA;AMABILE, Giuseppe Amadio
2010
Abstract
Semantically unique items are concrete entities characterized by a unique cluster of semantic information. In this field, neuropsychology has always given more attention to faces than to other kind of stimuli. An important category that has been largely neglected so far is famous buildings. A total of 200 healthy Italian adults with age, sex and education homogenously distributed across subgroups were administered a famous buildings naming and recognition test, which assessed both visual and verbal modalities. The test was divided in seven sections; norms were calculated taking into account demographic variables such as age, sex and education. Multiple regression analyses showed that education influenced significantly the performance on all subtests; age had a significant effect for five subtests; sex for three subtests. Adjusted scores were used to determine inferential cutoff scores and to compute equivalent scores. © Springer-Verlag 2010.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.