Differences in EEG complexity of cognitive activities among subtypes of schizophrenia
IntroductionThe neural mechanisms that underpin cognitive impairments in patients with schizophrenia remain unclear. Previous studies have typically treated patients as a homogeneous group, despite the existence of distinct symptom presentations between deficit and non-deficit subtypes. This approac...
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1473693/full |
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| author | Hang Qi Jilin Zou Zhenzhen Yao Gaofeng Zhao Jing Zhang Chunlei Liu Min Chen |
| author_facet | Hang Qi Jilin Zou Zhenzhen Yao Gaofeng Zhao Jing Zhang Chunlei Liu Min Chen |
| author_sort | Hang Qi |
| collection | DOAJ |
| description | IntroductionThe neural mechanisms that underpin cognitive impairments in patients with schizophrenia remain unclear. Previous studies have typically treated patients as a homogeneous group, despite the existence of distinct symptom presentations between deficit and non-deficit subtypes. This approach has been found to be inadequate, necessitating separate investigation.MethodsThis study was conducted at Daizhuang Hospital in Jining City, China, from January 2022 to October 2023. The study sample comprised 30 healthy controls, 19 patients with deficit schizophrenia, and 19 patients with non-deficit schizophrenia, all aged between 18 and 45 years. Cognitive abilities were evaluated using a change detection task. The NeuroScan EEG/ERP System, comprising 64 channels and utilising standard 10-20 electrode placements, was employed to record EEG signals. The multiscale entropy and sample entropy of the EEG signals were calculated.ResultsThe healthy controls demonstrated superior task performance compared to both the non-deficit (p < 0.001) and deficit groups(p < 0.001). Significant differences in multiscale entropy between the three groups were observed at multiple electrode sites. In the task state, there are significant differences in the sample entropy of the β frequency band among the three groups of subjects. Under simple conditions of difficulty, the performance of the healthy controls exhibited a positive correlation with alpha band sample entropy(r = 0.372) and a negative correlation with beta band sample entropy (r = -0.411). Deficit patients demonstrated positive correlations with alpha band sample entropy (r = 0.370), whereas non-deficit patients exhibited negative correlations with both alpha and beta band sample entropy (r = -0.451, r = -0.362). Under difficult conditions of difficulty, the performance of healthy controls demonstrated a positive correlation with beta band sample entropy (r = 0.486). Deficit patients exhibited a positive correlation with alpha band sample entropy (r = 0.351), while non-deficit patients demonstrated a negative correlation with beta band sample entropy (r = -0.331).ConclusionThe results of this study indicate that cognitive impairment in specific subtypes of schizophrenia may have distinct physiological underpinnings, underscoring the need for further investigation. |
| format | Article |
| id | doaj-art-e434c546b0dc4176b9e7af2738f133c3 |
| institution | Kabale University |
| issn | 1664-0640 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Psychiatry |
| spelling | doaj-art-e434c546b0dc4176b9e7af2738f133c32025-02-05T07:32:10ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402025-02-011610.3389/fpsyt.2025.14736931473693Differences in EEG complexity of cognitive activities among subtypes of schizophreniaHang Qi0Jilin Zou1Zhenzhen Yao2Gaofeng Zhao3Jing Zhang4Chunlei Liu5Min Chen6School of Psychology, Qufu Normal University, Qufu, ChinaDepartment of Psychology, School of Education, Linyi University, Linyi, Shandong, ChinaClinical Psychology Department, Shandong Mental Health Center, Jinan, ChinaGeriatrics Department, Shandong Daizhuang Hospital, Jining, ChinaGeriatrics Department, Shandong Daizhuang Hospital, Jining, ChinaSchool of Psychology, Qufu Normal University, Qufu, ChinaSchool of Mental Health, Jining Medical University, Jining, ChinaIntroductionThe neural mechanisms that underpin cognitive impairments in patients with schizophrenia remain unclear. Previous studies have typically treated patients as a homogeneous group, despite the existence of distinct symptom presentations between deficit and non-deficit subtypes. This approach has been found to be inadequate, necessitating separate investigation.MethodsThis study was conducted at Daizhuang Hospital in Jining City, China, from January 2022 to October 2023. The study sample comprised 30 healthy controls, 19 patients with deficit schizophrenia, and 19 patients with non-deficit schizophrenia, all aged between 18 and 45 years. Cognitive abilities were evaluated using a change detection task. The NeuroScan EEG/ERP System, comprising 64 channels and utilising standard 10-20 electrode placements, was employed to record EEG signals. The multiscale entropy and sample entropy of the EEG signals were calculated.ResultsThe healthy controls demonstrated superior task performance compared to both the non-deficit (p < 0.001) and deficit groups(p < 0.001). Significant differences in multiscale entropy between the three groups were observed at multiple electrode sites. In the task state, there are significant differences in the sample entropy of the β frequency band among the three groups of subjects. Under simple conditions of difficulty, the performance of the healthy controls exhibited a positive correlation with alpha band sample entropy(r = 0.372) and a negative correlation with beta band sample entropy (r = -0.411). Deficit patients demonstrated positive correlations with alpha band sample entropy (r = 0.370), whereas non-deficit patients exhibited negative correlations with both alpha and beta band sample entropy (r = -0.451, r = -0.362). Under difficult conditions of difficulty, the performance of healthy controls demonstrated a positive correlation with beta band sample entropy (r = 0.486). Deficit patients exhibited a positive correlation with alpha band sample entropy (r = 0.351), while non-deficit patients demonstrated a negative correlation with beta band sample entropy (r = -0.331).ConclusionThe results of this study indicate that cognitive impairment in specific subtypes of schizophrenia may have distinct physiological underpinnings, underscoring the need for further investigation.https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1473693/fullschizophreniaworking memoryEEG complexityfrequency bandssample entropy |
| spellingShingle | Hang Qi Jilin Zou Zhenzhen Yao Gaofeng Zhao Jing Zhang Chunlei Liu Min Chen Differences in EEG complexity of cognitive activities among subtypes of schizophrenia Frontiers in Psychiatry schizophrenia working memory EEG complexity frequency bands sample entropy |
| title | Differences in EEG complexity of cognitive activities among subtypes of schizophrenia |
| title_full | Differences in EEG complexity of cognitive activities among subtypes of schizophrenia |
| title_fullStr | Differences in EEG complexity of cognitive activities among subtypes of schizophrenia |
| title_full_unstemmed | Differences in EEG complexity of cognitive activities among subtypes of schizophrenia |
| title_short | Differences in EEG complexity of cognitive activities among subtypes of schizophrenia |
| title_sort | differences in eeg complexity of cognitive activities among subtypes of schizophrenia |
| topic | schizophrenia working memory EEG complexity frequency bands sample entropy |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1473693/full |
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