Author

Marco Antonio Pinto-Orellana

Universidade Federal de ViçosaORCID 0000-0001-6495-1305Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Beth A. LopouriD· 1 shared Daniel W. ShreyiD· 1 shared Fábio Ribeiro CerqueiraiD· 1 shared Makoto MiyakoshiiD· 1 shared Nathaniel GreeniD· 1 shared Shaun A. HussainiD· 1 shared Soudeh MostaghimiiD· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

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1 shared paperNeuroscience

Beth A. LopourORCID

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2 papers

Recent·Most cited

NeuroscienceEpilepsia OpenPeer-reviewedMar 14, 2026

Prediction of treatment response in infantile epileptic spasms syndrome using EEG phase-amplitude coupling

Soudeh Mostaghimi, Marco Antonio Pinto-Orellana, Nathaniel Green…·Beth A. Lopour

The paper predicts treatment response in infantile epileptic spasms syndrome using EEG phase-amplitude coupling, finding that lower pre-treatment modulation index values correlate with better treatment outcomes.

DOI 10.1002/epi4.70230

humanelectronic health records

𝕏 PostBluesky

NeurosciencebioRxivPreprintFeb 3, 2017

Filter-banks and artificial intelligence in seizure detection using electroencephalograms

Marco Antonio Pinto-Orellana, Fábio Ribeiro Cerqueira

The paper develops a method for seizure detection using EEG signals with a filter bank and C4.5 decision trees, achieving 94% accuracy using 10 frequency-related features.

DOI 10.1101/105650

electronic health recordsstatistical model

𝕏 PostBluesky