Author

Suzanne T. Witt

Linköping UniversityORCID 0000-0002-5530-0807Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:imaging· 3 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1

Frequent Co-Authors

Adrian Mark OweniD· 1 shared Alana BrowniD· 1 shared Angela R. LairdiD· 1 shared Bobby Boge StojanoskiiD· 1 shared Charlotte Mace· 1 shared Elisabet ClassoniD· 1 shared Elisabeth Åvall Lundqvist· 1 shared Elvar Theordorsson· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperNeuroscience

Adrian Mark OwenORCID

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3 papers

Recent·Most cited

Gray matter volume in women with the BRCA mutation with and without ovarian removal

Suzanne T. Witt, Alana Brown, Laura L. Gravelsins, Maria Engström, Elisabet Classon, Nina Lykke, Elisabeth Åvall Lundqvist, Elvar Theordorsson, Jan Ernerudh, Preben Kjølhede, Gillian Einstein

This study examines gray matter volume changes in BRCA mutation carriers before and after ovarian removal, finding reduced volume in some groups and potential benefits of hormone replacement therapy.

bioRxiv · Nov 14, 2023 · PreprintNeuroscience

Longitudinal white matter changes associated with cognitive training

Emily S. Nichols, Jonathan Erez, Bobby Boge Stojanoski, Kathleen Lyons, Suzanne T. Witt, Charlotte Mace, Sameera Khalid, Adrian Mark Owen

This study examines cognitive training effects on white matter changes and transfer to similar or different tasks, finding no transfer but distinct white matter modifications in trained groups.

Human Brain Mapping · Jul 16, 2021Peer-reviewedNeuroscience

What executive function network is that? An image-based meta-analysis of network labels

Suzanne T. Witt, Helene van Ettinger-Veenstra, Taylor Salo, Michael C. Riedel, Angela R. Laird

The paper identifies four spatially distinct executive function networks through image-based meta-analysis of fMRI studies, highlighting inconsistencies in current network labeling conventions.

Brain Topography · May 10, 2021Peer-reviewedNeuroscience