ArticleAnnals of general psychiatry2017
Analysis of EEG entropy during visual evocation of emotion in schizophrenia.
Article in Annals of general psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- A correlation study on EEG signals during visual concentration test and clinical evaluation in schizophrenia patients.BMC psychiatry · 2025Article
- Cross subject emotion identification from multichannel EEG sub-bands using Tsallis entropy feature and KNN classifier.Brain informatics · 2024Article
- Assisting schizophrenia diagnosis using clinical electroencephalography and interpretable graph neural networks: a real-world and cross-site study.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Article
- Weighted ordinal connection based functional network classification for schizophrenia disease detection using EEG signal.Physical and engineering sciences in medicine · 2023Article
- A hybrid deep neural network for classification of schizophrenia using EEG Data.Scientific reports · 2021Article
- EEG microstate features for schizophrenia classification.PloS one · 2021Article
- Classification of Schizophrenia by Combination of Brain Effective and Functional Connectivity.Frontiers in neuroscience · 2021Article
- DE-CNN: An Improved Identity Recognition Algorithm Based on the Emotional Electroencephalography.Computational and mathematical methods in medicine · 2020Article
- Abnormal Entropy Modulation of the EEG Signal in Patients With Schizophrenia During the Auditory Paired-Stimulus Paradigm.Frontiers in neuroinformatics · 2019Article
- Identification of Auditory Object-Specific Attention from Single-Trial Electroencephalogram Signals via Entropy Measures and Machine Learning.Entropy (Basel, Switzerland) · 2018Article
- Integration of 24 Feature Types to Accurately Detect and Predict Seizures Using Scalp EEG Signals.Sensors (Basel, Switzerland) · 2018Article
- Nonlinear EEG parameters of emotional perception in patients with moderate traumatic brain injury, coma, stroke and schizophrenia.AIMS neuroscience · 2018Article
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4 authors.
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Abstract
backgroundIn this study, the international affective picture system was used to evoke emotion, and then the corresponding signals were collected. The features from different points of brainwaves, frequency, and entropy were used to identify normal, moderately, and markedly ill schizophrenic patients.
methodsThe signals were collected and preprocessed. Then, the signals were separated according to three types of emotions and five frequency bands. Finally, the features were calculated using three different methods of entropy. For classification, the features were divided into different sections and classification using support vector machine (principal components analysis on 95%). Finally, simple regression and correlation analysis between the total scores of positive and negative syndrome scale and features were used.
resultsAt first, we observed that to classify normal and markedly ill schizophrenic patients, the identification result was as high as 81.5%, and therefore, we further explored moderately and markedly ill schizophrenic patients. Second, the identification rate in both moderately and markedly ill schizophrenic patient was as high as 79.5%, which at the Fz point signal in high valence low arousal fragments was calculated using the ApEn methods. Finally, the total scores of positive and negative syndrome scale were used to analyze the correlation with the features that were the five frequency bands at the Fz point signal. The results show that the
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