A correlation study on EEG signals during visual concentration test and clinical evaluation in schizophrenia patients

Our findings suggest that the proposed analytical methods, focusing on EEG signals and employing a novel system framework, can effectively assist in classifying the severity of schizophrenia. This approach offers promising implications for enhancing diagnostic accuracy and tailoring treatment strategies for patients with schizophrenia.

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Publication Details

Journal
BMC Psychiatry
Published
2025-08-05
DOI
https://doi.org/10.1186/s12888-025-07237-w
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00

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article

A correlation study on EEG signals during visual concentration test and clinical evaluation in schizophrenia patients

Min‐Wei Huang, Wen-Lin Chu, Qun-Wei Chang
BMC Psychiatry
EEG and Brain-Computer Interfaces
article

A correlation study on EEG signals during visual concentration test and clinical evaluation in schizophrenia patients

Min‐Wei Huang, Wen-Lin Chu, Qun-Wei Chang
article en

Abstract

Our findings suggest that the proposed analytical methods, focusing on EEG signals and employing a novel system framework, can effectively assist in classifying the severity of schizophrenia. This approach offers promising implications for enhancing diagnostic accuracy and tailoring treatment strategies for patients with schizophrenia.

BMC PsychiatryVol. 25(1)
Kaohsiung Medical University (TW), National Chung Hsing University (TW), China Medical University (TW), Kaohsiung Municipal Kai-Syuan Psychiatric Hospital (TW)
National Science and Technology Council
Openalex Percentile: Top 81%
EEG and Brain-Computer Interfaces
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