Dynamic causal modeling of P300 processing in schizophrenia-Reference-Cited by-同舟云学术

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Dynamic causal modeling of P300 processing in schizophrenia

Published:2024-06-14 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
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Author:

Zhang Shilai¹,Jiang Lin¹,Wang Guangying¹,Yao Dezhong¹,Xu Peng¹,Li Fali¹

Affiliation:

1. University of Electronic Science and Technology of China,School of life Science and technology,Chengdu,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10586233/10586443/10586544.pdf?arnumber=10586544

Reference23 articles.

1. Schizophrenia: from neurophysiological abnormalities to clinical symptoms

2. P300 as a Potential Indicator in the Evaluation of Neurocognitive Disorders After Traumatic Brain Injury

3. P300 Development across the Lifespan: A Systematic Review and Meta-Analysis

4. Altered temporal variability in brain functional connectivity identified by fuzzy entropy underlines schizophrenia deficits

5. Spatial–rhythmic network as a biomarker of familial risk for psychotic bipolar disorder

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