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Joel Augusto Moura Porto

3 papers in the library · 19 citations · publishing 2020-2024

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 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...

Does meditation lead to a stable mind? Synchronous stability and time-varying graphs in meditators

Journal of Complex Networks December 1, 2020 Thaise G. L. de O. Toutain, Abrahão Fontes Baptista, Hilton Ferreira Japyassú et al. 14 citations

Abstract The dynamical approach represents a new branch in the understanding of functional brain networks. Using simple indices to represent time connectivity and topological stability, we evaluated the hypothesis of increased brain stability during the meditative state in comparison to the relaxation state. We used a new way to consider the time evolution of synchronization patterns in...