Literature DB >> 21924537

Revisiting the suitability of antisaccade performance as an endophenotype in schizophrenia.

Shahrzad Mazhari1, Greg Price, Milan Dragović, Flavie A Waters, Peter Clissa, Assen Jablensky.   

Abstract

Poor performance on the antisaccade task has been proposed as a candidate endophenotype in schizophrenia. Caveats to this proposal, however, include inconsistent findings in first-degree relatives of individuals with schizophrenia, and substantial heterogeneity in individuals with the disorder. In this study, we examined antisaccade performance in patients and relatives, and sought to establish whether antisaccade measures could differentiate between two patients clusters identified in the Western Australian Family Study of Schizophrenia with either pervasive cognitive deficits (CD) or cognitively spared (CS). Ninety-three patients (CD=47, CS=46), 99 relatives and 62 healthy controls carried out a standard antisaccade task. Results showed: (i) significantly greater error rate, and prolonged latencies to correct responses and self-correction saccades in patients compared with controls; (ii) high error rates in relatives of poorly performing patients; (iii) longer latencies of self-correction saccades in relatives compared to controls; and (iv) higher error rate and longer latencies of self-correction saccades in the CD subgroup compared with CS. Unaffected relatives as a group were unimpaired in error rate as compared to healthy controls. These findings suggest that the antisaccade error rate and latency of self-correction saccades are useful measures in specific applications of genetic research in schizophrenia, without fully meeting endophenotype co-familiality requirements.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21924537     DOI: 10.1016/j.bandc.2011.08.006

Source DB:  PubMed          Journal:  Brain Cogn        ISSN: 0278-2626            Impact factor:   2.310


  9 in total

Review 1.  Disrupted Corollary Discharge in Schizophrenia: Evidence From the Oculomotor System.

Authors:  Katharine N Thakkar; Martin Rolfs
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2019-04-02

Review 2.  Oculomotor Prediction: A Window into the Psychotic Mind.

Authors:  Katharine N Thakkar; Vaibhav A Diwadkar; Martin Rolfs
Journal:  Trends Cogn Sci       Date:  2017-03-11       Impact factor: 20.229

3.  Altered Effective Connectivity within an Oculomotor Control Network in Unaffected Relatives of Individuals with Schizophrenia.

Authors:  Matthew Lehet; Ivy F Tso; Sohee Park; Sebastiaan F W Neggers; Ilse A Thompson; Rene S Kahn; Katharine N Thakkar
Journal:  Brain Sci       Date:  2021-09-17

4.  Elevated antisaccade error rate as an intermediate phenotype for psychosis across diagnostic categories.

Authors:  James L Reilly; Kyle Frankovich; Scot Hill; Elliot S Gershon; Richard S E Keefe; Matcheri S Keshavan; Godfrey D Pearlson; Carol A Tamminga; John A Sweeney
Journal:  Schizophr Bull       Date:  2013-09-30       Impact factor: 9.306

Review 5.  Saccadic eye movement applications for psychiatric disorders.

Authors:  Juliana Bittencourt; Bruna Velasques; Silmar Teixeira; Luis F Basile; José Inácio Salles; Antonio Egídio Nardi; Henning Budde; Mauricio Cagy; Roberto Piedade; Pedro Ribeiro
Journal:  Neuropsychiatr Dis Treat       Date:  2013-09-16       Impact factor: 2.570

6.  Impaired top-down modulation of saccadic latencies in patients with schizophrenia but not in first-degree relatives.

Authors:  Simon Schwab; Miriam Jost; Andreas Altorfer
Journal:  Front Behav Neurosci       Date:  2015-02-24       Impact factor: 3.558

7.  To look or not to look? Reward, selection history, and oculomotor guidance.

Authors:  Daniel Preciado; Jan Theeuwes
Journal:  J Neurophysiol       Date:  2018-07-18       Impact factor: 2.714

8.  Small Saccades and Image Complexity during Free Viewing of Natural Images in Schizophrenia.

Authors:  Jose Ignacio Egaña; Christ Devia; Rocío Mayol; Javiera Parrini; Gricel Orellana; Aida Ruiz; Pedro E Maldonado
Journal:  Front Psychiatry       Date:  2013-05-20       Impact factor: 4.157

Review 9.  Quantitative magnetic resonance imaging traits as endophenotypes for genetic mapping in epilepsy.

Authors:  Saud Alhusaini; Christopher D Whelan; Sanjay M Sisodiya; Paul M Thompson
Journal:  Neuroimage Clin       Date:  2016-09-08       Impact factor: 4.881

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.