Auditory Event-Related Potentials in Antipsychotic-Free Subjects With Ultra-High-Risk State and First-Episode Psychosis

Abstract Background Studies indicate that people with schizophrenia and first-episode psychosis experience deficits in their ability to accurately detect and display emotions through facial expressions, and that functioning and symptoms are associated with these deficits. This study aims to examine how emotion recognition and facial emotion expression are related to functioning and symptoms in a sample of individuals at ultra-high risk, first-episode psychosis and healthy controls. Methods During fMRI, we combined the presentation of emotional faces with the instruction to react with facial movements predetermined and assigned. 18 patients with first-episode psychosis (FEP), 18 individuals at ultra high risk of psychosis (UHR) and 22 healthy controls (HCs) were examined while viewing happy, sad, or neutral faces and were instructed to simultaneously move the corners of their mouths either (a). upwards or (b). downwards, or (c). to refrain from movement. The subjects’ facial movements were recorded with an MR-compatible video camera. Results Neurofunctional and behavioral response to emotional faces were measured. Analyses have only recently commenced and are ongoing. Full results of the clinical and functional impact of behavioral and neuroimaging results will be presented at the meeting. Discussion Increased knowledge about abnormalities in emotion recognition and behaviour as well as their neural correlates and their impact on clinical measures and functional outcome can inform the development of novel treatment approaches to improve social skills early in the course of schizophrenia and psychotic disorders.

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S46. IMPAIRED ERROR-PROCESSING IN PATIENTS WITH FIRST-EPISODE PSYCHOSIS: AN EVENT-RELATED POTENTIAL STUDY

Schizophrenia Bulletin ◽

10.1093/schbul/sbaa031.112 ◽

2020 ◽

Vol 46 (Supplement_1) ◽

pp. S50-S50

Author(s):

Jihye Park ◽

Minah Kim ◽

Wu Jeong Hwang ◽

Jun Soo Kwon

Keyword(s):

Correct Response ◽

Event Related Potentials ◽

First Episode Psychosis ◽

Electrode Site ◽

Event Related Potential ◽

First Episode ◽

Conflict Monitoring ◽

Error Related Negativity ◽

Episode Psychosis ◽

Related Potentials

Abstract Background Impaired error/conflict monitoring as reflected in the event-related potentials (ERPs) has consistently reported in patients with schizophrenia. However, whether this impairment exist from the early phase of psychosis such as first-episode psychosis (FEP) is not yet been clearly reported. To investigate the presence of error/conflict monitoring deficit in early psychosis, we examined the error-related negativity (ERN), error-related positivity (Pe), and correct-response negativity (CRN) during the Go/Nogo task in the patients with FEP. Methods 25 patients with and 25 age, sex matched healthy controls (HCs) were participated in electroencephalographic recording during the Go/Nogo task. Trials with error response was analyzed to define ERN at Fz electrode site and Pe at Pz electrode site. Trials with correct response was used for CRN analysis at Fz electrode site. Independent samples t-test was used to compare the amplitudes of ERP components between FEP and HC groups. Pearson’s correlation analysis was performed to reveal the relationship of altered ERP component with symptomatic severity in patients with schizophrenia. Results FEP patients showed significantly smaller ERN amplitude at Fz electrode site compared to HCs (t=-3.294, p=0.002). However, there was no difference of CRN (t=0.017, p=0.986) and Pe (t=1.806, p=0.077) amplitudes between FEP and HC groups. There was no significant correlation of symptomatic severity and ERN amplitude at Fz electrode site in FEP patients. Discussion These findings suggest that impairments in error/conflict monitoring as reflected by ERN amplitude exist from the early course of psychotic disorder. Future study with larger sample size and subjects at earlier phase such as clinical high risk for psychosis would be needed to confirm the findings of current study.

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Aripiprazole for Drug-Naive or Antipsychotic-Short-Exposure Subjects With Ultra-High Risk State and First-Episode Psychosis

Journal of Clinical Psychopharmacology ◽

10.1097/jcp.0b013e31827cb017 ◽

2013 ◽

Vol 33 (1) ◽

pp. 18-23 ◽

Cited By ~ 11

Author(s):

Chen-Chung Liu ◽

Yi-Ling Chien ◽

Ming H. Hsieh ◽

Tzung-Jeng Hwang ◽

Hai-Gwo Hwu ◽

...

Keyword(s):

High Risk ◽

First Episode Psychosis ◽

Short Exposure ◽

First Episode ◽

Episode Psychosis ◽

Ultra High Risk ◽

Drug Naïve

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417. Auditory event-related potentials (ERP) in first episode and chronic schizophrenia

Biological Psychiatry ◽

10.1016/s0006-3223(98)90865-4 ◽

1998 ◽

Vol 43 (8) ◽

pp. S125

Author(s):

D. Umbricht ◽

D. Javitt ◽

J. Bates ◽

S. Pollak ◽

J. Lieberman ◽

...

Keyword(s):

Event Related Potentials ◽

Chronic Schizophrenia ◽

First Episode ◽

Auditory Event ◽

Related Potentials ◽

Auditory Event Related Potentials

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Prediction of transition from ultra-high risk to first-episode psychosis using a probabilistic model combining history, clinical assessment and fatty-acid biomarkers

Translational Psychiatry ◽

10.1038/tp.2016.170 ◽

2016 ◽

Vol 6 (9) ◽

pp. e897-e897 ◽

Cited By ~ 38

Author(s):

S R Clark ◽

B T Baune ◽

K O Schubert ◽

S Lavoie ◽

S Smesny ◽

...

Keyword(s):

Fatty Acid ◽

High Risk ◽

Clinical Assessment ◽

Probabilistic Model ◽

First Episode Psychosis ◽

First Episode ◽

Model Combining ◽

Episode Psychosis ◽

Ultra High Risk ◽

Fatty Acid Biomarkers

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Using genetic, cognitive and multi-modal neuroimaging data to identify ultra-high-risk and first-episode psychosis at the individual level

Psychological Medicine ◽

10.1017/s003329171300024x ◽

2013 ◽

Vol 43 (12) ◽

pp. 2547-2562 ◽

Cited By ~ 65

Author(s):

W. Pettersson-Yeo ◽

S. Benetti ◽

A. F. Marquand ◽

F. Dell‘Acqua ◽

S. C. R. Williams ◽

...

Keyword(s):

High Risk ◽

First Episode Psychosis ◽

First Episode ◽

Support Vector ◽

Single Subject ◽

Individual Level ◽

Episode Psychosis ◽

Ultra High Risk ◽

The Individual ◽

Cognitive Data

BackgroundGroup-level results suggest that relative to healthy controls (HCs), ultra-high-risk (UHR) and first-episode psychosis (FEP) subjects show alterations in neuroanatomy, neurofunction and cognition that may be mediated genetically. It is unclear, however, whether these groups can be differentiated at single-subject level, for instance using the machine learning analysis support vector machine (SVM). Here, we used a multimodal approach to examine the ability of structural magnetic resonance imaging (sMRI), functional MRI (fMRI), diffusion tensor neuroimaging (DTI), genetic and cognitive data to differentiate between UHR, FEP and HC subjects at the single-subject level using SVM.MethodThree age- and gender-matched SVM paired comparison groups were created comprising 19, 19 and 15 subject pairs for FEPversusHC, UHRversusHC and FEPversusUHR, respectively. Genetic, sMRI, DTI, fMRI and cognitive data were obtained for each participant and the ability of each to discriminate subjects at the individual level in conjunction with SVM was tested.ResultsSuccessful classification accuracies (p < 0.05) comprised FEPversusHC (genotype, 67.86%; DTI, 65.79%; fMRI, 65.79% and 68.42%; cognitive data, 73.69%), UHRversusHC (sMRI, 68.42%; DTI, 65.79%), and FEPversusUHR (sMRI, 76.67%; fMRI, 73.33%; cognitive data, 66.67%).ConclusionsThe results suggest that FEP subjects are identifiable at the individual level using a range of biological and cognitive measures. Comparatively, only sMRI and DTI allowed discrimination of UHR from HC subjects. For the first time FEP and UHR subjects have been shown to be directly differentiable at the single-subject level using cognitive, sMRI and fMRI data. Preliminarily, the results support clinical development of SVM to help inform identification of FEP and UHR subjects, though future work is needed to provide enhanced levels of accuracy.

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