Literature DB >> 10225327

The concept of target features in schizophrenia research.

M T Tsuang1, S V Faraone.   

Abstract

Target features are clinical or neurobiological characteristics that are expressions of the underlying predisposition to an illness. They comprise a wide range of phenomena, from the classic signs and symptoms of psychopathology to sophisticated measures of brain structure and function. For schizophrenia, many target features have been identified. These include eye tracking dysfunction, attentional impairment, allusive thinking, neurological signs, thought disorder, characteristic auditory evoked potentials, neuropsychological impairment, structural brain abnormalities and functional brain abnormalities. In their most pathological forms, these features are present among many schizophrenic patients, yet it is their presence among their non-psychotic relatives that shows them to be target features. We discuss the theoretical background for target features, present examples and describe how the discovery of target features has implications for schizophrenia research.

Entities:  

Mesh:

Year:  1999        PMID: 10225327     DOI: 10.1111/j.1600-0447.1999.tb05977.x

Source DB:  PubMed          Journal:  Acta Psychiatr Scand Suppl        ISSN: 0065-1591


  13 in total

1.  Candidate gene studies in psychiatric disorders: promises and limitations.

Authors:  L Sher
Journal:  J Psychiatry Neurosci       Date:  2001-03       Impact factor: 6.186

2.  Predictors of psychosis: a 50-year follow-up of the Lundby population.

Authors:  Mats Bogren; Cecilia Mattisson; Kristian Tambs; Vibeke Horstmann; Povl Munk-Jørgensen; Per Nettelbladt
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2009-05-29       Impact factor: 5.270

3.  Neurological Soft Signs and Brain Network Abnormalities in Schizophrenia.

Authors:  Li Kong; Christina J Herold; Eric F C Cheung; Raymond C K Chan; Johannes Schröder
Journal:  Schizophr Bull       Date:  2020-04-10       Impact factor: 9.306

4.  Executive dysfunction in Turkish children at high risk for schizophrenia.

Authors:  Nese Perdahli Fis; Fusun Cuhadaroglu Cetin; Mihriban Erturk; Emel Erdogan; Ceyda Dedeoglu; Yanki Yazgan
Journal:  Eur Child Adolesc Psychiatry       Date:  2008-04-21       Impact factor: 4.785

5.  Neurological soft signs in schizophrenia: a meta-analysis.

Authors:  Raymond C K Chan; Ting Xu; R Walter Heinrichs; Yue Yu; Ya Wang
Journal:  Schizophr Bull       Date:  2009-04-17       Impact factor: 9.306

6.  Neurological soft signs precede the onset of schizophrenia: a study of individuals with schizotypy, ultra-high-risk individuals, and first-onset schizophrenia.

Authors:  Raymond C K Chan; Hui-Ru Cui; Min-Yi Chu; Tian-Hong Zhang; Ya Wang; Yi Wang; Zhi Li; Simon S Y Lui; Ji-Jun Wang; Eric F C Cheung
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2017-07-31       Impact factor: 5.270

7.  Neurological abnormalities and neurocognitive functions in healthy elder people: a structural equation modeling analysis.

Authors:  Raymond C K Chan; Ting Xu; Hui-jie Li; Qing Zhao; Han-hui Liu; Yi Wang; Chao Yan; Xiao-yan Cao; Yu-na Wang; Yan-fang Shi; Paola Dazzan
Journal:  Behav Brain Funct       Date:  2011-08-10       Impact factor: 3.759

8.  Neurological soft signs in schizophrenia - The past, the present and the future.

Authors:  Shivarama Varambally; Ganesan Venkatasubramanian; Bangalore N Gangadhar
Journal:  Indian J Psychiatry       Date:  2012-01       Impact factor: 1.759

Review 9.  Luria revisited: cognitive research in schizophrenia, past implications and future challenges.

Authors:  Yuliya Zaytseva; Raymond C K Chan; Ernst Pöppel; Andreas Heinz
Journal:  Philos Ethics Humanit Med       Date:  2015-02-27       Impact factor: 2.464

10.  Neurological soft signs and their relationships to neurocognitive functions: a re-visit with the structural equation modeling design.

Authors:  Raymond C K Chan; Ya Wang; Li Wang; Eric Y H Chen; Theo C Manschreck; Zhan-jiang Li; Xin Yu; Qi-yong Gong
Journal:  PLoS One       Date:  2009-12-24       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.