Literature DB >> 26519554

Detecting syntactic and semantic anomalies in schizophrenia.

Andrea Moro1, Valentina Bambini2, Marta Bosia3, Simona Anselmetti4, Roberta Riccaboni4, Stefano F Cappa5, Enrico Smeraldi3, Roberto Cavallaro4.   

Abstract

One of the major challenges in the study of language in schizophrenia is to identify specific levels of the linguistic structure that might be selectively impaired. While historically a main semantic deficit has been widely claimed, results are mixed, with also evidence of syntactic impairment. This might be due to heterogeneity in materials and paradigms across studies, which often do not allow to tap into single linguistic components. Moreover, the interaction between linguistic and neurocognitive deficits is still unclear. In this study, we concentrated on syntactic and semantic knowledge. We employed an anomaly detection task including short and long sentences with either syntactic errors violating the principles of Universal Grammar, or a novel form of semantic errors, resulting from a contradiction in the computation of the whole sentence meaning. Fifty-eight patients with diagnosis of schizophrenia were compared to 30 healthy subjects. Results showed that, in patients, only the ability to identify syntactic anomaly, both in short and long sentences, was impaired. This result cannot be explained by working memory abilities or psychopathological features. These findings suggest the presence of an impairment of syntactic knowledge in schizophrenia, at least partially independent of the cognitive and psychopathological profile. On the contrary, we cannot conclude that there is a semantic impairment, at least in terms of compositional semantics abilities.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anomaly; Grammaticality judgments; Language; Schizophrenia; Semantics; Syntax

Mesh:

Year:  2015        PMID: 26519554     DOI: 10.1016/j.neuropsychologia.2015.10.030

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  8 in total

Review 1.  The contribution of surgical brain mapping to the understanding of the anatomo-functional basis of syntax: A critical review.

Authors:  Elia Zanin; Marco Riva; Valentina Bambini; Stefano F Cappa; Lorenzo Magrassi; Andrea Moro
Journal:  Neurol Sci       Date:  2017-06-17       Impact factor: 3.307

2.  The influence of semantic associations on sentence production in schizophrenia: an fMRI study.

Authors:  Maike Creyaufmüller; Stefan Heim; Ute Habel; Juliane Mühlhaus
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2018-08-09       Impact factor: 5.270

3.  Automated analysis of written narratives reveals abnormalities in referential cohesion in youth at ultra high risk for psychosis.

Authors:  Tina Gupta; Susan J Hespos; William S Horton; Vijay A Mittal
Journal:  Schizophr Res       Date:  2017-04-26       Impact factor: 4.939

4.  Cognitive Pragmatic Rehabilitation Program in Schizophrenia: A Single Case fMRI Study.

Authors:  Ilaria Gabbatore; Francesca M Bosco; Elisabetta Geda; Luigi Gastaldo; Sergio Duca; Tommaso Costa; Bruno G Bara; Katiuscia Sacco
Journal:  Neural Plast       Date:  2017-01-23       Impact factor: 3.599

5.  The Comprehension of Familiar and Novel Metaphoric Meanings in Schizophrenia: A Pilot Study.

Authors:  Alexander M Rapp; Anne K Felsenheimer; Karin Langohr; Magdalena Klupp
Journal:  Front Psychol       Date:  2018-01-05

6.  The language profile of formal thought disorder.

Authors:  Derya Çokal; Gabriel Sevilla; William Stephen Jones; Vitor Zimmerer; Felicity Deamer; Maggie Douglas; Helen Spencer; Douglas Turkington; Nicol Ferrier; Rosemary Varley; Stuart Watson; Wolfram Hinzen
Journal:  NPJ Schizophr       Date:  2018-09-19

7.  Deficits in nominal reference identify thought disordered speech in a narrative production task.

Authors:  Gabriel Sevilla; Joana Rosselló; Raymond Salvador; Salvador Sarró; Laura López-Araquistain; Edith Pomarol-Clotet; Wolfram Hinzen
Journal:  PLoS One       Date:  2018-08-07       Impact factor: 3.240

8.  Multimodal assessment of communicative-pragmatic features in schizophrenia: a machine learning approach.

Authors:  Alberto Parola; Ilaria Gabbatore; Laura Berardinelli; Rogerio Salvini; Francesca M Bosco
Journal:  NPJ Schizophr       Date:  2021-05-24
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.