Author

Juan L. P. Soto

Universidade de São PauloORCID 0000-0002-1348-3633Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 4 Research Focus:benchmarking· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Approach:benchmark study· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Karim JerbiiD· 4 shared Etienne CombrissoniD· 3 shared Aymeric GuillotiD· 2 shared Andrea BrovelliiD· 1 shared Anne-Lise SaiveiD· 1 shared Felipe V.D. Prado· 1 shared Franck Di RienzoiD· 1 shared J.-P. LachauxiD· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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4 shared papersNeuroscience

Karim JerbiORCID

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Author profile →

4 papers

Recent·Most cited

Local field potentials in human motor and non-motor brain areas encode the direction of upcoming movements: An intracerebral EEG classification study

Etienne Combrisson, Franck Di Rienzo, Anne-Lise Saive, Marcela Perrone‐Bertolotti, Juan L. P. Soto, Philippe Kahane, J.-P. Lachaux, Aymeric Guillot, Karim Jerbi

This study uses intracerebral EEG to show that motor cortex activity encodes hand movement direction during both planning and execution, with different frequency features involved in each phase.

bioRxiv · Sep 7, 2023 · PreprintNeuroscience

Tensorpac : an open-source Python toolbox for tensor-based Phase-Amplitude Couplingmeasurement in electrophysiological brain signals

Etienne Combrisson, Timothy Nest, Andrea Brovelli, Robin A. A. Ince, Juan L. P. Soto, Aymeric Guillot, Karim Jerbi

Tensorpac provides an open-source Python toolbox for efficient and comprehensive phase-amplitude coupling analysis in electrophysiological brain signals.

PLoS Computational Biology · Oct 29, 2020Peer-reviewedBioinformatics

Estimation of task-based modulations in functional connectivity with MEG: a comparison of methods

Juan L. P. Soto, Karim Jerbi

This study compares two methods for estimating task-based modulations in functional connectivity using MEG, finding that computing differences in correlation coefficients (DCC) outperforms semipartial canonical correlation analysis (SP-CCA).

bioRxiv · Sep 4, 2018 · PreprintNeuroscience

Estimation of narrowband amplitude and phase from electrophysiology signals for phase-amplitude coupling studies: a comparison of methods

Juan L. P. Soto, Felipe V.D. Prado, Etienne Combrisson, Karim Jerbi

This study compares Hilbert and wavelet methods for estimating phase-amplitude coupling in electrophysiological signals using simulated and experimental MEG data, finding Hilbert performs better in certain contexts.

bioRxiv · Aug 16, 2018 · PreprintNeuroscience