Temporal and time–frequency features of auditory oddball response in distinct subtypes of patients at clinical high risk for psychosis

Wu, GuiSen; Tang, Xiaochen; Gan, RanPiao; Zeng, Jiahui; Hu, YeGang; Xu, Li-Hua; Wei, Yanyan; Tang, Yingying; Chen, Tao; Li, Chunbo; Wang, Jijun; Zhang, Tianhong

doi:10.1007/s00406-021-01316-1

Cited by 8 publications

(5 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In task-related conditions, evoked delta activity in SCZ was positively (decreased EEG activity—worse cognitive performance) correlated with visual learning, attention, speed of processing [ 88 ] and social perception [ 87 ] and was negatively (increased EEG activity—worse cognitive performance) correlated with working memory [ 89 ]. Furthermore, delta activity coherence, as measured by intertrial coherence (ITC), showed a significant positive correlation with speed of processing [ 91 ]. However, other task-related studies [ 84 , 91 ] did not report an association between evoked delta activity and cognitive functions both in SCZ and CHR.…”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, delta activity coherence, as measured by intertrial coherence (ITC), showed a significant positive correlation with speed of processing [ 91 ]. However, other task-related studies [ 84 , 91 ] did not report an association between evoked delta activity and cognitive functions both in SCZ and CHR. Furthermore, Qu et al [ 90 ] employed machine learning methods to develop a model combining clinical and electrophysiological variables (evoked activity in delta, theta and alpha bands and MMN amplitude) in order to predict cognitive impairments.…”

Section: Resultsmentioning

confidence: 99%

“…Discrepancies are also found in the literature relevant to correlation between P3b and cognitive functions in SCZ, FES and high-risk subjects. Indeed, most studies found a positive correlation between P3b amplitude and several cognitive domains [ 91 , 157 , 162 , 163 , 197 , 200 , 201 , 204 , 208 , 211 , 212 , 214 , 215 , 216 , 217 , 218 , 219 , 220 , 221 ], while some studies found no significant correlation [ 161 , 210 , 213 , 220 ].…”

Section: Resultsmentioning

confidence: 99%

“…The studies included in the present review addressing delta activity at rest recorded not very robust findings (association with emotion recognition but not with attention, working memory, speed of processing, verbal and visual learning, reasoning or problem solving) [ 85 , 86 ], while those focussing on task-related delta activity, more consistently reported an association between reduced activity in this frequency band and impairments in attention and speed of processing [ 88 , 89 , 91 ].…”

Section: Discussionmentioning

confidence: 99%

See 3 more Smart Citations

Unveiling the Associations between EEG Indices and Cognitive Deficits in Schizophrenia-Spectrum Disorders: A Systematic Review

et al. 2022

View full text Add to dashboard Cite

Cognitive dysfunctions represent a core feature of schizophrenia-spectrum disorders due to their presence throughout different illness stages and their impact on functioning. Abnormalities in electrophysiology (EEG) measures are highly related to these impairments, but the use of EEG indices in clinical practice is still limited. A systematic review of articles using Pubmed, Scopus and PsychINFO was undertaken in November 2021 to provide an overview of the relationships between EEG indices and cognitive impairment in schizophrenia-spectrum disorders. Out of 2433 screened records, 135 studies were included in a qualitative review. Although the results were heterogeneous, some significant correlations were identified. In particular, abnormalities in alpha, theta and gamma activity, as well as in MMN and P300, were associated with impairments in cognitive domains such as attention, working memory, visual and verbal learning and executive functioning during at-risk mental states, early and chronic stages of schizophrenia-spectrum disorders. The review suggests that machine learning approaches together with a careful selection of validated EEG and cognitive indices and characterization of clinical phenotypes might contribute to increase the use of EEG-based measures in clinical settings.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Unveiling the Associations between EEG Indices and Cognitive Deficits in Schizophrenia-Spectrum Disorders: A Systematic Review

et al. 2022

View full text Add to dashboard Cite

show abstract

“…This process involves the level of human attention, memory, emotion, and other brain functions. The SHARP team 32 , 33 found that latency and peak changes of P300, the endogenous component of ERP, were affected to some extent in the CHR population. The oddball paradigm was used to elicit classical P300 components and the novel paradigm was used to elicit novel P300 components.…”

Section: Shanghai At Risk For Psychosis (Sharp)mentioning

confidence: 99%

Comprehensive review of multidimensional biomarkers in the ShangHai At Risk for Psychosis (SHARP) program for early psychosis identification

Zhang,

Xu,

Tang

et al. 2023

PCN Reports

Self Cite

View full text Add to dashboard Cite

Psychosis is recognized as one of the largest contributors to nonfatal health loss, and early identification can largely improve routine clinical activity by predicting the psychotic course and guiding treatment. Clinicians have used the clinical high‐risk for psychosis (CHR) paradigm to better understand the risk factors that contribute to the onset of psychotic disorders. Clinical factors have been widely applied to calculate the individualized risks for conversion to psychosis 1–2 years later. However, there is still a dearth of valid biomarkers to predict psychosis. Biomarkers, in the context of this paper, refer to measurable biological indicators that can provide valuable information about the early identification of individuals at risk for psychosis. The aim of this paper is to critically review studies assessing CHR and suggest possible biomarkers for application of prediction. We summarized the studies on biomarkers derived from the findings of the ShangHai at Risk for Psychosis (SHARP) program, including those that are considered to have the most potential. This comprehensive review was conducted based on expert opinions within the SHARP research team, and the selection of studies and results presented in this paper reflects the collective expertise of the team in the field of early psychosis identification. The three dimensions with potential candidates include neuroimaging dimension of brain structure and function, electrophysiological dimension of event‐related potentials (ERPs), and immune dimension of inflammatory cytokines and complement proteins, which proved to be useful in supporting the prediction of psychosis from the CHR state. We suggest that these three dimensions could be useful as risk biomarkers for treatment optimization. In the future, when available for the integration of multiple dimensions, clinicians may be able to obtain a comprehensive report with detailed information of psychosis risk and specific indications about preferred prevention.

show abstract

Eye movement indices as predictors of conversion to psychosis in individuals at clinical high risk

Zhang

Xie

et al. 2022

Eur Arch Psychiatry Clin Neurosci

View full text Add to dashboard Cite

Temporal and time–frequency features of auditory oddball response in distinct subtypes of patients at clinical high risk for psychosis

Cited by 8 publications

References 45 publications

Unveiling the Associations between EEG Indices and Cognitive Deficits in Schizophrenia-Spectrum Disorders: A Systematic Review

Unveiling the Associations between EEG Indices and Cognitive Deficits in Schizophrenia-Spectrum Disorders: A Systematic Review

Comprehensive review of multidimensional biomarkers in the ShangHai At Risk for Psychosis (SHARP) program for early psychosis identification

Eye movement indices as predictors of conversion to psychosis in individuals at clinical high risk

Contact Info

Product

Resources

About