Manuscripts on this dataset

1. 

   CMS Manager @ 5:54 am on 07 Feb 2024

   Manuscripts on this dataset, "ds003947"

2. 

   CMS Manager @ 5:54 am on 07 Feb 2024

   1. R Aubonnet, M Hassan, P Gargiulo, S Seri, Dynamic Resting-State EEG Alpha Connectivity: Quantifying Brain Network State Evolution in Individuals with Psychosis, bioRxiv, 2024, Cited by 0, https://www.biorxiv.org/content/10.1101/2024.06.04.597416.abstract
   2. DD Zhou, HZ Li, W Wang, L Kuang, Changes in oscillatory patterns of microstate sequence in patients with first-episode psychosis, Scientific Data, 2024, Cited by 0, https://www.nature.com/articles/s41597-023-02892-8
   3. C Peres da Silva, S Tedesco, B O'Flynn, EEG datasets for healthcare: A scoping review, 2024, Cited by 0, https://cora.ucc.ie/items/e4c14a93-4db4-4788-852e-1c9e44132270
   4. CP Da Silva, S Tedesco, B O'Flynn, EEG datasets for healthcare: a scoping review, IEEE Access, 2024, Cited by 0, https://ieeexplore.ieee.org/abstract/document/10466559/
   5. Ş Gengeç Benli, Classification of First-Episode Psychosis with EEG Signals: ciSSA and Machine Learning Approach, Biomedicines, 2023, Cited by 0, https://www.mdpi.com/2227-9059/11/12/3223
   6. MP Rao, ES Reddy, De-noising of EEG signals with shift-based cycle spinning on wave atoms, Soft Computing, 2022, Cited by 1, https://link.springer.com/article/10.1007/s00500-021-06708-y
   7. SM Redwan, MP Uddin, A Ulhaq, MI Sharif, Power spectral density-based resting-state EEG classification of first-episode psychosis, arXiv preprint arXiv:2301.01588, 2022, Cited by 2, https://arxiv.org/abs/2301.01588

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