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Manuel Ciba

3 papers in the library · 18 citations · publishing 2022-2024

Papers

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On the advances in machine learning and complex network measures to an EEG dataset from DMT experiments

Journal of Physics: Complexity January 22, 2024 Caroline L. Alves, Manuel Ciba, Thaise G. L. de O. Toutain et al. 5 citations

There is a growing interest in the medical use of psychedelic substances, as preliminary studies using them for psychiatric disorders have shown positive results. In particular, one of these substances is N, N-dimethyltryptamine (DMT), an agonist serotonergic psychedelic that can induce profound alterations in the state of consciousness. In this work, we use an exploratory tool to reveal...

Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments

PLoS One December 16, 2022 Caroline L. Alves, Rubens Gisbert Cury, Kirstin Roster et al. 13 citations

Ayahuasca is a blend of Amazonian plants that has been used for traditional medicine by the inhabitants of this region for hundreds of years. Furthermore, this plant has been demonstrated to be a viable therapy for a variety of neurological and mental diseases. EEG experiments have found specific brain regions that changed significantly due to ayahuasca. Here, we used an EEG dataset to...

Application of machine learning and complex network measures to an EEG dataset from DMT experiments

medRxiv June 16, 2022 Caroline L. Alves, Thaise G. L. de O. Toutain, Joel Augusto Moura Porto et al. preprint

There is a growing interest in the medical use of psychedelic substances as preliminary studies using them for psychiatric disorders have shown positive results. In particularly, one of these substances is N,N-dimethyltryptamine (DMT) an agonist serotonergic psychedelic that can induce profound alterations in state of consciousness. In this work, we propose a computational method based on...