Comparative analysis of resting-state EEG-based multiscale entropy between schizophrenia and bipolar disorder

Studies that use nonlinear methods to identify abnormal brain dynamics in patients with psychiatric disorders are limited. This study investigated brain dynamics based on EEG using multiscale entropy (MSE) analysis in patients with schizophrenia (SZ) and bipolar disorder (BD). The eyes-closed restin...

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Veröffentlicht in:Progress in neuro-psychopharmacology & biological psychiatry 2024-08, Vol.134, p.111048, Article 111048
Hauptverfasser: Hwang, Hyeon-Ho, Choi, Kang-Min, Im, Chang-Hwan, Yang, Chaeyeon, Kim, Sungkean, Lee, Seung-Hwan
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container_title Progress in neuro-psychopharmacology & biological psychiatry
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Choi, Kang-Min
Im, Chang-Hwan
Yang, Chaeyeon
Kim, Sungkean
Lee, Seung-Hwan
description Studies that use nonlinear methods to identify abnormal brain dynamics in patients with psychiatric disorders are limited. This study investigated brain dynamics based on EEG using multiscale entropy (MSE) analysis in patients with schizophrenia (SZ) and bipolar disorder (BD). The eyes-closed resting-state EEG data were collected from 51 patients with SZ, 51 patients with BD, and 51 healthy controls (HCs). Patients with BD were further categorized into type I (n = 23) and type II (n = 16), and then compared with patients with SZ. A sample entropy-based MSE was evaluated from the bilateral frontal, central, and parieto-occipital regions using 30-s artifact-free EEG data for each individual. Correlation analyses of MSE values and psychiatric symptoms were performed. For patients with SZ, higher MSE values were observed at higher-scale factors (i.e., 41–70) across all regions compared with both HCs and patients with BD. Furthermore, there were positive correlations between the MSE values in the left frontal and parieto-occipital regions and PANSS scores. For patients with BD, higher MSE values were observed at middle-scale factors (i.e., 13–40) in the bilateral frontal and central regions compared with HCs. Patients with BD type I exhibited higher MSE values at higher-scale factors across all regions compared with those with BD type II. In BD type I, positive correlations were found between MSE values in all left regions and YMRS scores. Patients with psychiatric disorders exhibited group-dependent MSE characteristics. These results suggest that MSE features may be useful biomarkers that reflect pathophysiological characteristics. •Patients with SZ exhibited elevated MSE values at higher-scale factors in all regions than those with BD and HCs.•Compared with HCs, patients with BD showed increased MSE values at middle-scale factors in the frontal and central regions.•Patients with SZ and BD type I had elevated MSE values at higher-scale factors, distinct from patients with BD type II.
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This study investigated brain dynamics based on EEG using multiscale entropy (MSE) analysis in patients with schizophrenia (SZ) and bipolar disorder (BD). The eyes-closed resting-state EEG data were collected from 51 patients with SZ, 51 patients with BD, and 51 healthy controls (HCs). Patients with BD were further categorized into type I (n = 23) and type II (n = 16), and then compared with patients with SZ. A sample entropy-based MSE was evaluated from the bilateral frontal, central, and parieto-occipital regions using 30-s artifact-free EEG data for each individual. Correlation analyses of MSE values and psychiatric symptoms were performed. For patients with SZ, higher MSE values were observed at higher-scale factors (i.e., 41–70) across all regions compared with both HCs and patients with BD. Furthermore, there were positive correlations between the MSE values in the left frontal and parieto-occipital regions and PANSS scores. For patients with BD, higher MSE values were observed at middle-scale factors (i.e., 13–40) in the bilateral frontal and central regions compared with HCs. Patients with BD type I exhibited higher MSE values at higher-scale factors across all regions compared with those with BD type II. In BD type I, positive correlations were found between MSE values in all left regions and YMRS scores. Patients with psychiatric disorders exhibited group-dependent MSE characteristics. 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This study investigated brain dynamics based on EEG using multiscale entropy (MSE) analysis in patients with schizophrenia (SZ) and bipolar disorder (BD). The eyes-closed resting-state EEG data were collected from 51 patients with SZ, 51 patients with BD, and 51 healthy controls (HCs). Patients with BD were further categorized into type I (n = 23) and type II (n = 16), and then compared with patients with SZ. A sample entropy-based MSE was evaluated from the bilateral frontal, central, and parieto-occipital regions using 30-s artifact-free EEG data for each individual. Correlation analyses of MSE values and psychiatric symptoms were performed. For patients with SZ, higher MSE values were observed at higher-scale factors (i.e., 41–70) across all regions compared with both HCs and patients with BD. Furthermore, there were positive correlations between the MSE values in the left frontal and parieto-occipital regions and PANSS scores. 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For patients with BD, higher MSE values were observed at middle-scale factors (i.e., 13–40) in the bilateral frontal and central regions compared with HCs. Patients with BD type I exhibited higher MSE values at higher-scale factors across all regions compared with those with BD type II. In BD type I, positive correlations were found between MSE values in all left regions and YMRS scores. Patients with psychiatric disorders exhibited group-dependent MSE characteristics. These results suggest that MSE features may be useful biomarkers that reflect pathophysiological characteristics. •Patients with SZ exhibited elevated MSE values at higher-scale factors in all regions than those with BD and HCs.•Compared with HCs, patients with BD showed increased MSE values at middle-scale factors in the frontal and central regions.•Patients with SZ and BD type I had elevated MSE values at higher-scale factors, distinct from patients with BD type II.</abstract><cop>England</cop><pub>Elsevier Inc</pub><pmid>38825306</pmid><doi>10.1016/j.pnpbp.2024.111048</doi></addata></record>
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subjects Adult
Bipolar disorder
Bipolar Disorder - physiopathology
Brain - physiopathology
Electroencephalography - methods
Entropy
Female
Humans
Male
Middle Aged
Multiscale entropy
Psychiatric Status Rating Scales
Rest - physiology
Resting-state EEG
Sample entropy
Schizophrenia
Schizophrenia - physiopathology
Young Adult
title Comparative analysis of resting-state EEG-based multiscale entropy between schizophrenia and bipolar disorder
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