Investigating cortical complexity and connectivity in rats with schizophrenia
The above findings suggest that at the cortical level, complexity and connectivity are valid biomarkers for identifying SCZ. This bridges the gap between peak potentials and EEG. This may help to understand the pathophysiological mechanisms at the cortical level in schizophrenics.
Authors
- Yinping Wei
- Peiqi Chen
- Ruijiao Li (ORCID: https://orcid.org/0000-0002-3191-3828)
- Xudong Gao
- Tao Tan
- Heshun Hu
- Mingcai Li (ORCID: https://orcid.org/0000-0003-3910-6964)
- Wenshuai Jiang (ORCID: https://orcid.org/0000-0002-8012-0736)
- Zongya Zhao (ORCID: https://orcid.org/0000-0002-6282-8001)
- Yifan Feng (ORCID: https://orcid.org/0000-0001-8305-1695)
- Ting Pang (ORCID: https://orcid.org/0000-0001-5170-4727)
- Chong Wang (ORCID: https://orcid.org/0000-0002-3970-9071)
- Chang Wang (ORCID: https://orcid.org/0009-0005-1630-9453)
- Menghan Wang (ORCID: https://orcid.org/0000-0002-2431-5221)
- Mengke Wang (ORCID: https://orcid.org/0000-0002-4521-194X)
- Yi Yu (ORCID: https://orcid.org/0000-0002-3153-7113)
- Jiarong Wei
- Zhixian Gao (ORCID: https://orcid.org/0000-0001-8378-4987)
- Xuezhi Zhou
Institutions
- University of Malaya (MY)
- Henan Medical University (CN)
Publication Details
- Journal
- Frontiers in Neuroinformatics
- Published
- 2024-08-15
- DOI
- https://doi.org/10.3389/fninf.2024.1392271
- Citations
- 1
- Primary Topic
- Neural dynamics and brain function
- Type
- article
- Field-Weighted Citation Impact
- 0.34
Funders
- National Natural Science Foundation of China
- Henan University