Author

Salla Autti

University of HelsinkiORCID 0009-0005-7439-9274Unclaimed 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· 2 Organism:human· 2 Research Focus:batch correction / integration· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

Hanna RenvalliD· 2 shared Mia LiljeströmiD· 2 shared Pantelis LioumisiD· 2 shared Sara TuomaalaiD· 2 shared Juha GogulskiiD· 1 shared Melina EngelhardtiD· 1 shared Selja M. I. VaaltoiD· 1 shared Silvia Federica CotroneoiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 25 mutual co-author links

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2 shared papersNeuroscience

Hanna RenvallORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintJul 21, 2026

MEG-informed navigated TMS for individualized speech cortical mapping

Salla Autti, Sara Tuomaala, Juha Gogulski…·Pantelis Lioumis

This study uses MEG data to guide TMS timing and location for individualized speech cortical mapping, improving accuracy by aligning TMS with MEG-defined activation patterns.

DOI 10.64898/2026.07.10.737657

humanelectronic health records

𝕏 PostBluesky

NeuroscienceImaging NeurosciencePeer-reviewedJan 1, 2025

Automated speech artefact removal from MEG data utilizing facial gestures and mutual information

Sara Tuomaala, Salla Autti, Silvia Federica Cotroneo…·Mia Liljeström

This paper introduces an automated method to remove speech artefacts from MEG data using EMG and mutual information, improving the analysis of speech-related neural activity.

2 citations

humanelectronic health records

𝕏 PostBluesky