Selected quantitative EEG (QEEG) and event-related potential (ERP) variables as discriminators for positive and negative schizophrenia

Gerez, M.; Tello, Armando

doi:10.1016/0006-3223(94)00205-h

Cited by 53 publications

(34 citation statements)

References 109 publications

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“…Instead, we found positive correlations with negative symptoms, the opposite effects of our hypothesis, in the alpha2 (10-12 Hz, p = 0.069) and beta1 (12-15 Hz) bands in these patients in a very early stage of schizophrenia. While this is in contradiction to the studies of Merrin and Floyd (1996) and Sponheim et al (2000), our results are similar to Gerez and Tello (1995) who found an alpha (7.5 -12.5 Hz) augmentation in patients in remission 2 years after a first episode of schizophrenia.…”

Section: Discussioncontrasting

confidence: 99%

“…For delta our results are comparable to the studies of Gattaz et al (1992), Harris et al (1999), Sponheim et al (2000), Winterer et al (2000) and Gross et al (2006); for theta (4-8 Hz) they are in line with the studies of Gerez and Tello (1995), Sponheim et al (2000) and partly with Winterer et al (2000).…”

Section: Discussionsupporting

confidence: 92%

“…The results of the present study and others (Gattaz et al, 1992;Gerez and Tello, 1995;Harris et al, 1999;Sponheim et al, 2000;John et al, 2007;Gross et al, 2006) point to the hypothesis that these group differences are mainly explainable by negative symptoms in schizophrenic patients. Correlation of slow wave activity with negative symptoms has consistently been found in schizophrenic patients while correlations with positive symptoms are a inconsistent result in literature (e.g.…”

Section: Discussionsupporting

confidence: 78%

“…Therefore, it is of interest to investigate the association negative symptoms with EEG spectral power variations as a physiological marker for this clinically observed phenomenon. Negative symptoms are consistently associated with increased slow wave activity (Gattaz et al, 1992;Gerez and Tello, 1995;Gerez and Tello, 1995;Harris et al, 1999;Winterer et al, 2000;Sponheim et al, 2000). The results for the alpha band are rather inconsistent: decreased alpha activity (Sponheim et al, 2000;Merrin and Floyd, 1996) as well as augmented alpha activity (Gerez and Tello, 1995) has been found in association with negative symptoms.…”

Section: Introductionmentioning

confidence: 99%

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Negative symptoms in neuroleptic-naïve patients with first-episode psychosis correlate with QEEG parameters

Gschwandtner

Zimmermann

Pflueger

et al. 2009

Schizophrenia Research

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Introduction: While several studies have shown an association of QEEG band power with negative symptoms in patients with schizophrenia, this has not yet been investigated in a sample with neuroleptic-naïve first-episode patients (NNFE) up to now. From literature we hypothesized delta (0.5-4 Hz) and theta (4-8 Hz) power to be augmented and alpha (8)(9)(10)(11)(12) Hz) power to be decreased with increased negative symptoms in NNFE. Materials and methods:The sample consisted of 27 NNFE. Psychopathology was rated with the Scale for the Assessment of Negative Symptoms (SANS). EEG was recorded from 21 electrodes according to the 10/20 system. Spectral analysis was performed on mean power of 8 electrodes in seven frequency bands after artefact removal. Linear regressions were calculated with log transformed power as dependent and psychopathology as independent variable. We controlled for medication, drugs, age, sex, education and day time of EEG recording.Results: A positive correlation of SANS global scorewith power in delta and theta frequency bands could be confirmed in NNFE. In the alpha1 (8-10 Hz) band we found no significant correlation with negative symptoms and in the alpha2 (10-12 Hz) band therewas a positive correlation with SANS (p=0.069). Beta1 (12-15 Hz) power also correlated positively with SANS. Discussion:The present results confirm the correlation of negative symptoms with power of slow frequency bands. In addition to previous studies in chronic schizophrenia patients, the effect was shown in NNFE, which is compatible with augmented slow wave power being a marker for negative symptoms in psychosis.3

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Section: Discussioncontrasting

confidence: 99%

Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 78%

Section: Introductionmentioning

confidence: 99%

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Negative symptoms in neuroleptic-naïve patients with first-episode psychosis correlate with QEEG parameters

Gschwandtner

Zimmermann

Pflueger

et al. 2009

Schizophrenia Research

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“…This hypothesis originates from the observation that negative symptoms and quantitative EEG (qEEG) spectral power are correlated in different types of medicated and unmedicated schizophrenic patients. [19][20][21][22][23][24][25][26][27] Moreover, a recent study by our group 28 showed that negative symptoms are positively correlated with qEEG absolute power in delta (0.5-4 Hz), theta (4-8 Hz) and beta1 (12)(13)(14)(15) bands in the first episode (FE) of schizophrenia in neuroleptic-naïve patients. Presence of these correlations in neuroleptic naïve FE patients is a first requirement for the combination of negative symptoms with qEEG findings in ARMS patients to be a valid predictor for transition to psychosis.…”

Section: Introductionmentioning

confidence: 99%

EEG spectral power and negative symptoms in at-risk individuals predict transition to psychosis

Zimmermann

Gschwandtner²,

Wilhelm

et al. 2010

Schizophrenia Research

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Objective: EEG power in the delta, theta and beta1 bands has been shown to be positively correlated with negative symptoms in first episode psychotic patients. The present study investigates this correlation in an "at risk mental state for psychosis" (ARMS) with the aim to improve prediction of transition to psychosis.Methods: Thirteen ARMS patients with later transition to psychosis (ARMS-T) and fifteen without (follow-up period of at least 4 years) (ARMS-NT) were investigated using spectral resting EEG data (of 8 electrodes over the fronto-central scalp area placed according to the 10 -20 system) and summary score of the Scale for the Assessment of Negative Symptoms (SANS).Linear regressions were used to evaluate the correlation of SANS and EEG power in seven bands (delta, theta, alpha1, alpha2, beta1, beta2, beta3) in both ARMS groups and logistic regressions were used to predict transition to psychosis. Potentially confounding factors were controlled. Results: ARMS-T and ARMS-NT showed differential correlations of EEG power and SANSin delta, theta, and beta1 bands (p <0.05): ARMS-T showed positive and ARMS-NT negative correlations. Logistic regressions showed that neither SANS score nor EEG spectral power alone predicted transition to psychosis. However, SANS score in combination with power in the delta, theta, beta1, and beta2 bands, respectively, predicted transition significantly (p <0.03). Limitations:The number of subjects is relatively small. The difference in age of both study groups might be considered as a further limitation even though age had no effect on the results according to confounder analysis.Conclusions: ARMS-T and ARMS-NT show differential correlations of SANS summary score and EEG power in delta, theta, and beta bands. Prediction of transition to psychosis is possible using combined information from a negative symptom scale and EEG spectral data.

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Association Between Smaller Left Posterior Superior Temporal Gyrus Volume on Magnetic Resonance Imaging and Smaller Left Temporal P300 Amplitude in First-Episode Schizophrenia

McCarley¹,

Salisbury²,

Hirayasu³

et al. 2002

Arch Gen Psychiatry

171

113

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Background:In chronic schizophrenia, the P300 is broadly reduced and shows a localized left temporal deficit specifically associated with reduced gray matter volume of the left posterior superior temporal gyrus (STG). In first-episode patients, a similar left temporal P300 deficit is present in schizophrenia, but not in affective psychosis. The present study investigated whether the left temporal P300-left posterior STG volume association is selectively present in first-episode schizophrenia.

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Selected quantitative EEG (QEEG) and event-related potential (ERP) variables as discriminators for positive and negative schizophrenia

Cited by 53 publications

References 109 publications

Negative symptoms in neuroleptic-naïve patients with first-episode psychosis correlate with QEEG parameters

Negative symptoms in neuroleptic-naïve patients with first-episode psychosis correlate with QEEG parameters

EEG spectral power and negative symptoms in at-risk individuals predict transition to psychosis

Association Between Smaller Left Posterior Superior Temporal Gyrus Volume on Magnetic Resonance Imaging and Smaller Left Temporal P300 Amplitude in First-Episode Schizophrenia

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