Literature DB >> 26329118

The neural basis of a deficit in abstract thinking in patients with schizophrenia.

Jooyoung Oh1, Ji-Won Chun2, Hang Joon Jo3, Eunseong Kim2, Hae-Jeong Park4, Boreom Lee5, Jae-Jin Kim6.   

Abstract

Abnormal abstract thinking is a major cause of social dysfunction in patients with schizophrenia, but little is known about its neural basis. In this study, we aimed to determine the characteristic abstract thinking-related brain responses in patients using a task reflecting social situations. We conducted functional magnetic resonance imaging while 16 patients with schizophrenia and 16 healthy controls performed a theme-identification task, in which various emotional pictures depicting social situations were presented. Compared with healthy controls, the patients showed significantly decreased activity in the left frontopolar and right orbitofrontal cortices during theme identification. Activity in these two regions correlated well in the controls, but not in patients. Instead, the patients exhibited a close correlation between activity in both sides of the frontopolar cortex, and a positive correlation between the right orbitofrontal cortex activity and degrees of theme identification. Reduced activity in the left frontopolar and right orbitofrontal cortices and the underlying aberrant connectivity may be implicated in the patients' deficits in abstract thinking. These newly identified features of the neural basis of abnormal abstract thinking are important as they have implications for the impaired social behavior of patients with schizophrenia during real-life situations.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Abstract thinking; FMRI; Frontopolar cortex; Orbitofrontal cortex; Schizophrenia; Theme identification

Mesh:

Year:  2015        PMID: 26329118     DOI: 10.1016/j.pscychresns.2015.08.007

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  5 in total

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Authors:  Ji Chen; Kaustubh R Patil; Susanne Weis; Kang Sim; Thomas Nickl-Jockschat; Juan Zhou; André Aleman; Iris E Sommer; Edith J Liemburg; Felix Hoffstaedter; Ute Habel; Birgit Derntl; Xiaojin Liu; Jona M Fischer; Lydia Kogler; Christina Regenbogen; Vaibhav A Diwadkar; Jeffrey A Stanley; Valentin Riedl; Renaud Jardri; Oliver Gruber; Aristeidis Sotiras; Christos Davatzikos; Simon B Eickhoff
Journal:  Biol Psychiatry       Date:  2019-09-23       Impact factor: 12.810

2.  Aberrant neural networks for the recognition memory of socially relevant information in patients with schizophrenia.

Authors:  Jooyoung Oh; Ji-Won Chun; Eunseong Kim; Hae-Jeong Park; Boreom Lee; Jae-Jin Kim
Journal:  Brain Behav       Date:  2016-11-22       Impact factor: 2.708

3.  Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning Machine.

Authors:  Muhammad Naveed Iqbal Qureshi; Jooyoung Oh; Dongrae Cho; Hang Joon Jo; Boreom Lee
Journal:  Front Neuroinform       Date:  2017-09-08       Impact factor: 4.081

4.  Which Subgroup of First-Episode Schizophrenia Patients Can Remit During the First Year of Antipsychotic Treatment?

Authors:  Zhang Cheng; Yanbo Yuan; Xue Han; Lei Yang; Xin Zeng; Fude Yang; Zheng Lu; Chuanyue Wang; Hong Deng; Jingping Zhao; Xin Yu
Journal:  Front Psychiatry       Date:  2020-06-19       Impact factor: 4.157

5.  Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual.

Authors:  Du Lei; Walter H L Pinaya; Jonathan Young; Therese van Amelsvoort; Machteld Marcelis; Gary Donohoe; David O Mothersill; Aiden Corvin; Sandra Vieira; Xiaoqi Huang; Su Lui; Cristina Scarpazza; Celso Arango; Ed Bullmore; Qiyong Gong; Philip McGuire; Andrea Mechelli
Journal:  Hum Brain Mapp       Date:  2019-11-18       Impact factor: 5.399

  5 in total

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