Author

Sophie Hackl

LMU Klinikum

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· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:cell-cell communication· 1 Assay:electronic health records· 1 Organism:human· 1

Frequent Co-Authors

Astrid MayriD· 1 shared Daniele MarinazzoiD· 1 shared Enrico SchulziD· 1 shared Frederik Van de SteeniD· 1 shared Iege BasseziD· 1 shared Pauline Jahn· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperNeuroscience

Astrid MayrORCID

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1 paper

Recent·Most cited

Investigation on How Dynamic Effective Connectivity Patterns Encode the Fluctuating Pain Intensity in Chronic Migraine

Iege Bassez, Frederik Van de Steen, Sophie Hackl, Pauline Jahn, Astrid Mayr, Daniele Marinazzo, Enrico Schulz

This study investigates how dynamic effective connectivity patterns in EEG data relate to fluctuating pain intensity in chronic migraine patients using Bayesian models.

Neurobiology of Pain · Aug 1, 2022Peer-reviewedNeuroscience