EEG—power spectral components of schizoaffective disorders

Schellenberg, R.; Knorr, W; Schindler, Matthew K.; Kropf, Siegfried; Beyer, H

doi:10.1016/0920-9964(90)90023-z

Cited by 11 publications

(8 citation statements)

References 6 publications

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“…It was suspected of being the cause of low levels of thinking and emotional responses. This finding was supported by Khan et al (1993) [6], and Schellenberg et al (1990) [7]. Unlike the case with delta and theta waves, the alpha waves decrease the occipital lobe activity in patients with schizophrenia.…”

Section: Discussionsupporting

confidence: 75%

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Spectral and brain mapping analysis of EEG based on Pwelch in schizophrenic patients

Akbar

Khotimah

Haryanto

2016

J. Phys.: Conf. Ser.

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Abstract. The aim of this study is to investigate and analyze the differences of power spectral distribution in various frequency bands between healthy subjects and schizophrenic patients. Subjects in this study were 8 people consisting of 4 schizophrenic patients and 4 healthy subjects. Subjects were recorded from 12 electrodes with Electroencephalography (EEG). EEG signals were recorded during a resting eye-closed state for 4-6 minutes. Data were extracted and analyzed by centering and filtering, then performed using Welch Periodogram technique for the spectral estimation with a Hamming window. The results of this study showed that delta power spectral in schizophrenic patients increased ten times from healthy subjects; theta power spectral in schizophrenic patients increased three times from healthy subjects; alpha power spectral in schizophrenic patients decreased with an increase of one third of healthy subjects. These results were confirmed by Kolmogorov-Smirnov test showing there were significant differences between schizophrenic and healthy subjects on delta, theta and alpha brain wave. Based on the results of Brain Mapping analysis showed that there was significant increasing in the activity of delta waves and theta waves in frontal lobe of schizophrenics, whereas the alpha waves indicated a decrease in the occipital lobe in all schizophrenic patients.

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Section: Discussionsupporting

confidence: 75%

“…KS test principle showed compatibility between two cumulative distributions by taking into account the deviation between the two cumulative distributions [8]. Both sets of data were from the same distribution or there were no significant differences between both sets of data if the value of p > 0.05 at the 5% significance level.…”

Section: Methodsmentioning

confidence: 99%

Spectral and brain mapping analysis of EEG based on Pwelch in schizophrenic patients

Akbar

Khotimah

Haryanto

2016

J. Phys.: Conf. Ser.

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“…Among the ten identified Step 2 studies, an early study suggested that an EEG profile can be detected in schizophrenia patients but not in non-schizophrenia psychotic patients (23). A number of subsequent studies suggested that the noted increased slow wave is seen significantly more in schizophrenia populations (24)(25)(26)(27). In a latter study, the investigators pointed out that the slow wave abnormality (mainly delta increase) is more or less localized to frontal lobe regions (28).…”

Section: Discussionmentioning

confidence: 92%

“…In a latter study, the investigators pointed out that the slow wave abnormality (mainly delta increase) is more or less localized to frontal lobe regions (28). A frontal localization of EEG abnormalities received support from a number of studies (24,(29)(30)(31)(32)(33)(34)(35)(36)(37)(38). A smaller number of studies found spectral EEG abnormalities to be localized to the more posterior regions of the brain (39)(40)(41).…”

Section: Discussionmentioning

confidence: 99%

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The status of spectral EEG abnormality as a diagnostic test for schizophrenia

Boutros

Arfken

Galderisi³

et al. 2008

Schizophrenia Research

269

222

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Objective-A literature review was conducted to ascertain whether or not EEG spectral abnormalities are consistent enough to warrant additional effort towards developing them into a clinical diagnostic test for schizophrenia.Methods-Fifty three papers met criteria for inclusion into the review and 15 were included in a meta-analysis of the degree of significance of EEG deviations as compared to healthy controls. Studies were classified based on a 4-step approach based on guidelines for evaluating the clinical usefulness of a diagnostic test.Results-Our review and meta-analysis revealed that most of the abnormalities are replicated in the expected directions with the most consistent results related to the increased preponderance of slow rhythms in schizophrenia patients. This effect remained consistent in un-medicated patients. Only a small number of studies provided data on the sensitivity and specificity of the findings in differentiating among the psychiatric disorders that frequently appear on the same differential diagnostic list as schizophrenia (step 3 studies). No multicenter studies using standardized assessment criteria were found (step 4 studies). Conclusions-AdditionalStep 3 and Step 4 studies are needed to draw conclusions on the usefulness of EEG spectral abnormalities as a diagnostic test for schizophrenia

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Quantitative EEG in Patients with Schizophrenia

Panov

2023

Neuromethods

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EEG—power spectral components of schizoaffective disorders

Cited by 11 publications

References 6 publications

Spectral and brain mapping analysis of EEG based on Pwelch in schizophrenic patients

Spectral and brain mapping analysis of EEG based on Pwelch in schizophrenic patients

The status of spectral EEG abnormality as a diagnostic test for schizophrenia

Quantitative EEG in Patients with Schizophrenia

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