Author

Patricia Alves Da Mota

Aarhus UniversityORCID 0000-0002-0975-0436Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Eloise A. StarkiD· 2 shared Henrique Miguel FernandesiD· 2 shared Joana CabraliD· 2 shared Morten L. KringelbachiD· 2 shared Peter VuustiD· 2 shared Christine AhrendsiD· 1 shared Francesca G. E. HappeiD· 1 shared Line GebaueriD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersNeuroscience

Eloise A. StarkORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Sweet anticipation: Predictability of familiar music in autism

Patricia Alves Da Mota, Eloise A. Stark, Henrique Miguel Fernandes, Christine Ahrends, Joana Cabral, Line Gebauer, Francesca G. E. Happe, Peter Vuust, Morten L. Kringelbach

The paper investigates how autistic and typically developing individuals process familiar music using fMRI, finding differences in brain network activity during familiar music listening.

bioRxiv · Aug 3, 2020 · PreprintNeuroscience

The dynamics of the improvising brain: a study of musical creativity using jazz improvisation

Patricia Alves Da Mota, Henrique Miguel Fernandes, Eloise A. Stark, Joana Cabral, Ole Adrian Heggli, Nuno Sousa, Morten L. Kringelbach, Peter Vuust

This study uses fMRI to examine neural dynamics during jazz improvisation, finding distinct brain network patterns for different improvisation modes and their cognitive mechanisms.

bioRxiv · Jan 29, 2020 · PreprintNeuroscience