Author

Laura Fontanesi

University of BaselORCID 0000-0001-5067-9451Unclaimed 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:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Organism:human· 1

Frequent Co-Authors

Aahana BajracharyaiD· 1 shared Adriana GalvániD· 1 shared Alberto De LucaiD· 1 shared Alexander BowringiD· 1 shared Alexandru D. IordaniD· 1 shared Amr EediD· 1 shared Andrew ErhartiD· 1 shared Andrew JahniD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Aahana BajracharyaORCID

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2 papers

Recent·Most cited

Variability in the analysis of a single neuroimaging dataset by many teams

Rotem Botvinik‐Nezer, Felix Holzmeister, Colin F. Camerer, Anna Dreber, Jürgen Huber, Magnus Johannesson, Michael Kirchler, Roni Iwanir, Jeanette A. Mumford, R. Alison Adcock, Paolo Avesani, Błażej M. Bączkowski, Aahana Bajracharya, Leah Bakst, Sheryl B. Ball, , Xiangzhen Kong

The paper shows that different analysis workflows by 70 teams on the same fMRI dataset led to varied results, but meta-analysis found consensus in activated regions.

Nature · May 20, 2020Peer-reviewedNeuroscience

The role of dopaminergic nuclei in predicting and experiencing gains and losses: A 7T human fMRI study

Laura Fontanesi, Sebastian Gluth, Jörg Rieskamp, Birte U. Forstmann

This study uses 7T fMRI to examine dopaminergic nuclei in humans, finding correlations with reward prediction error and risk in SN and VTA, and a surprise signal in SN.

bioRxiv · Aug 12, 2019 · PreprintNeuroscience