Author

Ana-Sofía Hincapié

Université de Montréal

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

Annalisa PascarellaiD· 3 shared Karim JerbiiD· 3 shared Richard M. LeahyiD· 2 shared Tarek LajnefiD· 2 shared Véronique Boulenger AiD· 2 shared Alberto SorrentinoiD· 1 shared Dimitri J. BayleiD· 1 shared Elisabetta VallarinoiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersNeuroscience

Annalisa PascarellaORCID

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3 papers

Recent·Most cited

Hitting the right pitch: Cortical tracking of speech fundamental frequency in auditory and somatomotor regions

Yorguin-José Mantilla-Ramos, Ana-Sofía Hincapié, Annalisa Pascarella, Tarek Lajnef, Richard M. Leahy, Emily B. J. Coffey, Karim Jerbi, Véronique Boulenger A

This study investigates how brain rhythms track speech fundamental frequency (F0) across different speech rates using magnetoencephalography, finding coupling in auditory and somatomotor regions.

bioRxiv · Mar 18, 2025 · PreprintNeuroscience

Tuning Minimum-Norm regularization parameters for optimal MEG connectivity estimation

Elisabetta Vallarino, Ana-Sofía Hincapié, Karim Jerbi, Richard M. Leahy, Annalisa Pascarella, Alberto Sorrentino, Sara Sommariva

This study finds that the optimal regularization parameter for MEG connectivity estimation is smaller than that for source imaging and provides open-source code for analysis.

NeuroImage · Sep 11, 2023Peer-reviewedNeuroscience

Neural oscillations track natural but not artificial fast speech: Novel insights from speech-brain coupling using MEG

Ana-Sofía Hincapié, Tarek Lajnef, Annalisa Pascarella, Hélène Guiraud-Vinatea, Hannu Laaksonen, Dimitri J. Bayle, Karim Jerbi, Véronique Boulenger A

The paper investigates how neural oscillations track natural versus artificial fast speech using MEG, finding that natural fast speech elicits stronger cortico-acoustic coupling than artificially accelerated speech.

NeuroImage · Sep 12, 2021Peer-reviewedNeuroscience