Auditory event-related potentials and α oscillations in the psychosis prodrome: neuronal generator patterns during a novelty oddball task.

paper Cited Public

Authors: Kayser, Jürgen; Tenke, Craig E; Kroppmann, Christopher J; Alschuler, Daniel M; Fekri, Shiva; Ben-David, Shelly; Corcoran, Cheryl M; Bruder, Gerard E
Year: 2014
Journal: International journal of psychophysiology : official journal of the International Organization of Psychophysiology
PMID: 24333745
DOI: 10.1016/j.ijpsycho.2013.12.003
PMCID: PMC3990501

Figure 1

Grand mean surface Laplacian (CSD) waveforms (−100 to 1000 ms, 100 ms pre-stimulus baseline) for 22 clinical high-risk patients comparing nontarget, target, and novel stimuli at all 49 recording sites. Horizontal and vertical electrooculograms (EOG) are shown before blink correction.

Figure 2

CSD waveforms as in Figure 1 for 20 healthy controls.

Figure 3

CSD waveforms at selected midline sites (Fz, Cz, Pz) for target and novel stimuli comparing 22 patients and 20 controls. Three prominent CSD components are labeled for novels at site Cz (NVS: novelty vertex source) and for targets at sites Pz (P3b) and Fz (FRN: frontal response negativity).

Figure 4

(A) Factor loadings of the first six temporal PCA (tPCA) factors (with explained variance) extracted from the time-locked CSD waveforms (N = 42). Factor labels reflect the peak latency [ms] of the factor loadings. (B) CSD factor score topographies corresponding to N1 sink (135 ms peak latency of factor loading), temporal N1 sink (185 ms), novelty vertex source (NVS; 255 ms), P3b source (350 ms), and frontal response negativity (FRN; 505 ms) comparing nontarget, target and novel stimuli (pooled across all 42 participants; for separate topographies for each group, see supplementary Fig. S1). All topographies are two-dimensional representations of spherical spline interpolations (m = 2; λ = 0) derived from the mean factors scores for each recording site.

Figure 5

Grand mean surface Laplacian (CSD) event-related spectral perturbation (ERSP) plots (−10 to 800 ms; 1 to 30 Hz) at all 49 recording sites for 22 patients (top) and 20 controls (bottom) for each condition (nontarget, target, novel). Distinct event-related synchronization (ERS) for target and novel stimuli between 100 and 400 ms is evident for both groups at anterior sites. In contrast, event-related desynchronization (ERD) is most prominent for target stimuli between 400 and 800 ms over posterior sites, and appears to be reduced for patients compared to controls.

Figure 6

CSD-ERSP plots at selected sites (FCz, CP2) for target and novel stimuli and 22 patients and 20 controls.

Figure 7

(A) Factor loadings of three time-frequency PCA (tfPCA) factors (with explained variance) extracted from the time-frequency CSD matrices (N = 42). Factor labels reflect both peak latency [ms] and peak frequency [Hz] of the factor loadings. (B) CSD factor score topographies corresponding to alpha event-related desynchronization (ERD; factor 610–9), novelty vertex source (NVS) event-related synchronization (ERS; factor 260–1), and N1 sink ERS (factor 130–1) comparing nontarget, target and novel stimuli for 22 patients and 20 controls. All topographies are two-dimensional representations of spherical spline interpolations (m = 2; λ = 0) derived from the mean factors scores for each recording site.

Figure 8

Observations for CHR individuals who developed threshold psychosis within a 4-year follow-up period (n = 3). (A) CSD waveforms at selected midline sites (Cz, Pz) for nontarget, target and novel stimuli (scale as in Fig. 3). A prominent P3b source for targets at Pz and novelty vertex source (NVS) at Cz indicated robust condition effects, although the novelty MMN, which partially overlaps and follows N1 sink for the overall sample, is absent (grayed area). (B) CSD-ERSP plots at selected sites (FCz, CP2) for nontarget, target and novel stimuli (scale as in Fig. 6). Contour lines for nontarget stimuli depict tfPCA factor loadings (50% maximum; Fig. 7A) for N1 ERS (factor 130–1), and NVS ERS (260–1) at FCz and alpha ERD (610–9) at CP2 for target and novel stimuli. Note that alpha ERD is virtually absent.

Figure 9

(A) Novel CSD waveforms (−100 to 800 ms) at midline sites (FCz, Cz), where MMN and NVS were most prominent, for healthy controls (gray lines) and CHR patients with (red lines) and without (green lines) transition to psychosis. (B) Novel-minus-nontarget difference CSDs at FCz reveal a robust novelty MMN for controls and nonconverters, whereas ΔMMN is absent for three converters.

#	Section	Preview
0	1. Introduction	For most individuals affected by schizophrenia, the first onset of symptoms is preceded by a…
1	1. Introduction — 1.1. Neurophysiologic abnormalities in the psychosis prodrome	A multitude of neurophysiologic abnormalities have been documented in schizophrenia (e.g., Luck et…
2	1. Introduction — 1.1. Neurophysiologic abnormalities in the psychosis prodrome	for example, in alcoholism, depression, bipolar disorder, or Alzheimer’s disease (e.g., Ford,…
3	1. Introduction — 1.1. Neurophysiologic abnormalities in the psychosis prodrome	A promising line of research has recently implicated various neurophysiologic measures obtained…
4	1. Introduction — 1.1. Neurophysiologic abnormalities in the psychosis prodrome	In one of the first neurophysiologic studies of psychosis risk, van der Stelt et al. (2005) employed…
5	1. Introduction — 1.1. Neurophysiologic abnormalities in the psychosis prodrome	reported a reduction of auditory N1 amplitude in CHR patients, several cross-sectional studies…
6	1. Introduction — 1.1. Neurophysiologic abnormalities in the psychosis prodrome	Atkinson et al. (2012) also reported that an early P3 subcomponent with a frontocentral…
7	1. Introduction — 1.1. Neurophysiologic abnormalities in the psychosis prodrome	P3 (Polich, 2007). In such a three-stimulus oddball task (Friedman et al., 1993), novelty P3 and P3b…
8	1. Introduction — 1.1. Neurophysiologic abnormalities in the psychosis prodrome	In recent years, there has also been an increasing interest in abnormal neural oscillations in…
9	1. Introduction — 1.1. Neurophysiologic abnormalities in the psychosis prodrome	Few studies in schizophrenia and individuals at risk have investigated reductions of alpha or theta…
10	1. Introduction — 1.2. The present study	Given prior evidence of P3a and/or P3b (e.g., Atkinson et al., 2012; Frommann et al., 2008) and…
11	1. Introduction — 1.2. The present study	lead to spurious EEG coherence (e.g., Fein et al., 1988; Guevara et al., 2005; Roach & Mathalon,…
12	1. Introduction — 1.2. The present study	Specifically, we hypothesized that target and novelty P3, as well as alpha event-related…
13	1. Introduction — 1.2. The present study	Atkinson et al., 2012; Hermens et al., 2010). Likewise, to the extent that the preceding novelty N2…
14	2. Material and Methods — 2.1. Participants	The current protocol followed an odor detection task (Kayser et al., 2013) as part of a larger ERP…
15	2. Material and Methods — 2.1. Participants	Table 1 summarizes the demographic and clinical characteristics of CHR patients and healthy…
16	2. Material and Methods — 2.1. Participants	The ethnic composition in both groups was representative for the New York region, including 17…
17	2. Material and Methods — 2.1. Participants	The current sample included three CHR patients who developed threshold psychosis as determined…
18	2. Material and Methods — 2.2. Stimuli and procedure	The study employed a novelty oddball task (Friedman et al., 1993; Fabiani & Friedman, 1995) as…
19	2. Material and Methods — 2.3. Data acquisition, recording, and artifact procedures	EEG recording procedures are detailed in Kayser et al. (2013). Briefly, using NeuroScan software…

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In this knowledge base

Title	Year	PMID
Issues and considerations for using the scalp surface Laplacian in EEG/ERP research: A tutorial review.	2015	25920962
The use of current source density as electrophysiological correlates in neuropsychiatric disorders: A review of human studies.	2015	25448264
Olfaction in the psychosis prodrome: electrophysiological and behavioral measures of odor detection.	2013	23856353

External

Title	Authors	Journal	Year	Link
Mismatch negativity in patients with bipolar affective disorder: a systematic review and meta-analysis.	Caulfield A et al.	—	2026	→
The specificity of the auditory P300 responses and its association with clinical outcomes in youth with psychosis risk syndrome.	Hou Y et al.	—	2024	→
Event-related modulation of alpha rhythm explains the auditory P300-evoked response in EEG.	Studenova A et al.	—	2023	→
Symptoms of Attenuated Psychosis Syndrome in Relatives of Clinical High-Risk Youth: Preliminary Evidence.	Tarbox-Berry SI et al.	—	2023	→
A quantitative model reveals a frequency ordering of prediction and prediction-error signals in the human brain.	Chao ZC et al.	—	2022	→
A systematic data-driven approach to analyze sensor-level EEG connectivity: Identifying robust phase-synchronized network components using surface Laplacian with spectral-spatial PCA.	Smith EE et al.	—	2022	→
Temporal and time-frequency features of auditory oddball response in distinct subtypes of patients at clinical high risk for psychosis.	Wu G et al.	—	2022	→
The Role of Alpha Oscillations among the Main Neuropsychiatric Disorders in the Adult and Developing Human Brain: Evidence from the Last 10 Years of Research.	Ippolito G et al.	—	2022	→
A systematic data-driven approach to analyze sensor-level EEG connectivity: Identifying robust phase-synchronized network components using surface Laplacian with spectral-spatial PCA	Smith EE et al.	—	2021	—
EEG-Based Measures in At-Risk Mental State and Early Stages of Schizophrenia: A Systematic Review.	Perrottelli A et al.	—	2021	→
Abnormal Frequency Mismatch Negativity in Early Psychosis Outpatient Subjects.	Del Re EC et al.	—	2020	→
Electroencephalography and Event-Related Potential Biomarkers in Individuals at Clinical High Risk for Psychosis.	Hamilton HK et al.	—	2020	→
Memory Impairments and Psychosis Prediction: A Scoping Review and Theoretical Overview.	Seabury RD et al.	—	2020	→
Natural alpha frequency components in resting EEG and their relation to arousal.	Barry RJ et al.	—	2020	→
A Signature of Passivity? An Explorative Study of the N3 Event- Related Potential Component in Passive Oddball Tasks.	Kotchoubey B et al.	—	2019	→
EEG-ERP dynamics in a visual Continuous Performance Test.	Karamacoska D et al.	—	2019	→
Evaluation of divided attention using different stimulation models in event-related potentials.	Batbat T et al.	—	2019	→
Neurobiological approaches to the study of clinical and genetic high risk for developing psychosis.	Niznikiewicz MA	—	2019	→
State and trait neural correlates of the balance between work and nonwork roles.	Jones R et al.	—	2019	→
Target-related parietal P3 and medial frontal theta index the genetic risk for problematic substance use.	Harper J et al.	—	2019	→
Developmental trajectory of mismatch negativity and visual event-related potentials in healthy controls: Implications for neurodevelopmental vs. neurodegenerative models of schizophrenia.	Corcoran CM et al.	—	2018	→
EEG frequency PCA in EEG-ERP dynamics.	Barry RJ et al.	—	2018	→
Emotion-Related Consciousness Detection in Patients With Disorders of Consciousness Through an EEG-Based BCI System.	Pan J et al.	—	2018	→
Improvement in mismatch negativity generation during d-serine treatment in schizophrenia: Correlation with symptoms.	Kantrowitz JT et al.	—	2018	→
Intrinsic EEG and task-related changes in EEG affect Go/NoGo task performance.	Karamacoska D et al.	—	2018	→
Auditory Target and Novelty Processing in Patients with Unilateral Hippocampal Sclerosis: A Current-Source Density Study.	Vilà-Balló A et al.	—	2017	→
Neural mechanisms of mismatch negativity dysfunction in schizophrenia.	Lee M et al.	—	2017	→
Resting state intrinsic EEG impacts on go stimulus-response processes.	Karamacoska D et al.	—	2017	→
Searching for Cross-Diagnostic Convergence: Neural Mechanisms Governing Excitation and Inhibition Balance in Schizophrenia and Autism Spectrum Disorders.	Foss-Feig JH et al.	—	2017	→
Theta- and delta-band EEG network dynamics during a novelty oddball task.	Harper J et al.	—	2017	→
Training of support afferentation in postmenopausal women.	Bazanova OM et al.	—	2017	→
Deficient Event-Related Theta Oscillations in Individuals at Risk for Alcoholism: A Study of Reward Processing and Impulsivity Features.	Kamarajan C et al.	—	2015	→
Emotion recognition deficits as predictors of transition in individuals at clinical high risk for schizophrenia: a neurodevelopmental perspective.	Corcoran CM et al.	—	2015	→
Hemifield-dependent N1 and event-related theta/delta oscillations: An unbiased comparison of surface Laplacian and common EEG reference choices.	Kayser J et al.	—	2015	→
Issues and considerations for using the scalp surface Laplacian in EEG/ERP research: A tutorial review.	Kayser J et al.	—	2015	→
Mismatch negativity (MMN) deficiency: a break-through biomarker in predicting psychosis onset.	Näätänen R et al.	—	2015	→
Posterior EEG alpha at rest and during task performance: Comparison of current source density and field potential measures.	Tenke CE et al.	—	2015	→
Surface Laplacians (SL) and phase properties of EEG rhythms: Simulated generators in a volume-conduction model.	Tenke CE et al.	—	2015	→
The use of current source density as electrophysiological correlates in neuropsychiatric disorders: A review of human studies.	Kamarajan C et al.	—	2015	→
Mismatch negativity (MMN) as an index of cognitive dysfunction.	Näätänen R et al.	—	2014	→
Olfaction in the psychosis prodrome: electrophysiological and behavioral measures of odor detection.	Kayser J et al.	—	2013	→