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

Caroline L. Alves; Rubens Gisbert Cury; Kirstin Roster; Aruane M. Pineda; Francisco A. Rodrigues; Christiane Thielemann; Manuel Ciba

doi:10.1371/journal.pone.0277257

Loading metrics

Open Access

Peer-reviewed

Research Article

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

Caroline L. Alves ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: Caroline.Alves@th-ab.de

Affiliations BioMEMS Lab, Aschaffenburg University of Applied Sciences (UAS), Aschaffenburg, Germany, Institute of Mathematical and Computer Sciences, University of São Paulo (USP), São Paulo, Brazil

https://orcid.org/0000-0003-4708-1330

⨯
Rubens Gisbert Cury,

Roles Formal analysis, Investigation, Validation, Writing – original draft

Affiliation Department of Neurology, Movement Disorders Center, University of São Paulo (USP), São Paulo, Brazil
⨯
Kirstin Roster,

Roles Formal analysis, Investigation, Validation, Writing – original draft

Affiliation Institute of Mathematical and Computer Sciences, University of São Paulo (USP), São Paulo, Brazil
⨯
Aruane M. Pineda,

Roles Formal analysis, Investigation, Validation, Writing – review & editing

Affiliation Institute of Mathematical and Computer Sciences, University of São Paulo (USP), São Paulo, Brazil
⨯
Francisco A. Rodrigues,

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Resources, Supervision, Validation, Writing – original draft

Affiliation Institute of Mathematical and Computer Sciences, University of São Paulo (USP), São Paulo, Brazil
⨯
Christiane Thielemann,

Roles Funding acquisition, Investigation, Project administration, Resources, Supervision, Writing – original draft

Affiliation BioMEMS Lab, Aschaffenburg University of Applied Sciences (UAS), Aschaffenburg, Germany
⨯
Manuel Ciba

Roles Conceptualization, Data curation, Formal analysis, Investigation, Project administration, Supervision, Validation, Writing – original draft

Affiliation BioMEMS Lab, Aschaffenburg University of Applied Sciences (UAS), Aschaffenburg, Germany
⨯

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

Caroline L. Alves,
Rubens Gisbert Cury,
Kirstin Roster,
Aruane M. Pineda,
Francisco A. Rodrigues,
Christiane Thielemann,
Manuel Ciba

Published: December 16, 2022
https://doi.org/10.1371/journal.pone.0277257

Reader Comments (0)

Post a new comment on this article

Subject Areas
?

For more information about PLOS Subject Areas, click here.
We want your feedback. Do these Subject Areas make sense for this article? Click the target next to the incorrect Subject Area and let us know. Thanks for your help!

Electroencephalography
Is the Subject Area "Electroencephalography" applicable to this article?

Thanks for your feedback.
Machine learning
Is the Subject Area "Machine learning" applicable to this article?

Thanks for your feedback.
Machine learning algorithms
Is the Subject Area "Machine learning algorithms" applicable to this article?

Thanks for your feedback.
Learning curves
Is the Subject Area "Learning curves" applicable to this article?

Thanks for your feedback.
Memory recall
Is the Subject Area "Memory recall" applicable to this article?

Thanks for your feedback.
Neural networks
Is the Subject Area "Neural networks" applicable to this article?

Thanks for your feedback.
Centrality
Is the Subject Area "Centrality" applicable to this article?

Thanks for your feedback.
Ingestion
Is the Subject Area "Ingestion" applicable to this article?

Thanks for your feedback.